The growing demand for online video streaming has created opportunities for businesses to launch their own OTT platforms for entertainment, education, sports, and live events.

What Is RAG in Healthcare?   Retrieval-augmented generation, or RAG in healthcare, is an approach that allows a generative AI system to find relevant information from trusted healthcare sources before creating a response.

Software architecture for AI systems defines how models, data, applications, APIs, business tools, security controls, monitoring, and infrastructure work together as one system.

AI can make a feature more useful, but it can also make its costs harder to predict. Unlike a fixed software license, AI spending can change with usage, the number of model calls, the amount of information processed, and the models involved.

A product team can spend weeks building an AI feature that works perfectly during testing. The demo looks good, the team is happy with the results and the feature is ready for real users. The problem often appears later, when thousands of people start using it and the AI bill begins to grow much faster than expected. 

  A technical implementation guide for designing, building, and deploying AI in healthcare without compromising patient privacy or regulatory compliance. 

  Finding a software development partner used to be about comparing hourly rates and tech stacks. But in 2026, the goalposts have shifted. We are no longer just looking for someone who can write code; we are looking for a partner who can navigate the "Intelligence Era."

  If a system cannot evolve safely while running, it isn’t ready for zero-downtime migration. According to a Gartner Peer Community poll, only 58% of organizations measure the cost to recover from a technology outage, which means nearly half of businesses may not clearly quantify the financial impact of downtime when making technology decisions

Agentic AI is changing how fraud is detected. Learn what it is, why it matters, and how banks, payments, and e-commerce teams are already using it in real-world systems.

  AI for UI design automation is reshaping how product teams design, validate, and ship interfaces, compressing timelines, reducing rework, and accelerating time-to-market at scale. Read more to understand how AI-driven UI design automation can help your teams ship faster.

This blog is about how vibe coding alone falls short in production systems, and why context-aware AI, with strong governance and architectural discipline, is key to reliable, scalable software.

If you want to build a cryptocurrency-based prediction market like Polymarket, you’ve come to the right place. In this guide, we cover everything you need to build a Polymarket clone, from market mechanics and architecture to smart contracts, compliance, and scalable deployment.

This guide is for decision-makers, strategists, tech leaders, and forward-thinking organizations preparing for the Gen AI shift. If you are exploring which Gen AI trends will rule 2026, this blog will help you anticipate what’s coming and decide your course of action.

Technology is evolving faster than ever, and businesses are feeling the pressure. Traditional monolithic systems, once reliable, have become roadblocks. They slow down innovation, limit scalability, and make every update feel like a massive effort.

Accounting has always been about precision and timeliness. But for decades, these goals have conflicted with each other. You could have accuracy if you invested enough time, or you could have speed if you accepted a margin of error. Today, AI in accounting software is changing that equation entirely.

AI is no longer an abstract concept in healthcare, from accelerating diagnostics and optimizing treatment plans to enhancing operational workflows and patient engagement. Yet, not every AI innovation delivers equal value. According to a report by Gitnux, the global AI‑in‑healthcare market is projected to grow from $45.2 billion in 2026 to $188 billion by 2030. While some technologies are already reshaping clinical practices, others remain in experimental stages or are overhyped with minimal real-world impact. 

Today's users expect more from digital platforms. They want experiences that feel smart and understand what they need. This expectation is particularly acute in a wide range of platforms like; web applications, mobile apps, SaaS, etc., where complex workflows and feature-rich dashboards can easily overwhelm users. 

In the early days of AI, a lot of focus was on prompt engineering; writing short, smart instructions to get the right answers from language models. This worked well for simple tasks.  However, as we move into the era of Agentic AI solutions, where systems act with autonomy and reasoning, prompt engineering alone isn’t enough. What’s needed now is a structured approach to designing workflows, data flows, and decision logic.

The healthcare industry is walking a tightrope: driving innovation, enhancing patient outcomes, and streamlining operations, all under the weight of rising operational costs, workforce shortages, and ever-evolving healthcare regulations. In this high-stakes environment, AI in Electronic Health Records (EHRs) is emerging not as a mere technological enhancement, but as a strategic differentiator.            

The shift from automation to autonomy is happening quickly, and the frameworks you choose today will define how your systems think, adapt, and scale tomorrow.  With Gartner forecasting that agentic AI will be embedded in 40% of applications by 2026, up from under 5% in 2023, it is clear that agentic intelligence is moving from experimental to essential. The question isn’t if you need to use agentic AI but how soon and how effectively you can deploy it in your systems.

You’re surrounded by data like sales numbers, supply chain updates, and performance metrics, all streaming in from different fields in your system. This data holds powerful insights, but when it’s scattered across departments and platforms, it becomes hard to connect the dots and make faster, confident decisions.

Have you observed a change in customer service with some of the large e-commerce stores lately? When we need help regarding an order, the customer service is handled by chatbots or AI instead of a human assistant. We even get a personalized recommendation on the website. When we want to return an order or report about it, an AI agent in retail service asks a few questions and resolves the issue right there in 30 seconds. 

The pace of the software development cycle today is relentless. In agile-driven organizations, releases happen every now and then, sometimes even multiple times a day.  For years, we have relied on traditional testing: painstakingly written, updated, and maintained to ensure quality. But now, AI-powered testing agents have come to the rescue, and they are changing the game completely. 

For tech leaders, managing development cycles and unexpected bottlenecks can derail even the most carefully planned projects. Traditional project management tools often fall short in providing the real-time insights needed to address risks proactively. That’s where predictive project management, driven by AI agents, comes into play. These intelligent systems analyze historical data, real-time progress, team velocity, and resource allocation to forecast potential delays before they escalate. Instead of reacting to problems after the fact, tech leaders can now make informed decisions early, reallocating resources, adjusting timelines, or revising priorities with precision. 

In healthcare development, the challenge has shifted from simply digitizing medical records to designing systems that restore clinical focus. A review published by a medical journal found that over 40% of healthcare professionals experience burnout,  linked directly to EHR use, with documentation burdens and after-hours data entry cited as major contributors.  This isn’t a usability issue; it’s a signal that current EHR systems are out of sync with the reality of prompt healthcare delivery. Here, AI shows the way.

Many companies struggle to make their AI initiatives work, despite investing heavily in high-end technologies and hiring top-tier talent, only to see no ROI delivered as expected. According to Gartner's prediction, 85% of AI implementations are likely to fail due to the absence of a solid data strategy.

Ever launched a product thinking everything was on point, only to have a bug slipping in that no one saw coming? You’re not alone.  In fact, according to a recent research by Gitnux, 70% of bugs are reported post-release, highlighting limited test coverage. Now, in 2025, the testing landscape has undergone major changes. Alongside tried and tested methods like manual testing, regression testing, and automated scripts, we’re seeing the rise of something new: AI agents. 

It’s a situation many tech leaders eventually encounter: a business-critical application is running, but the source code is either missing, broken beyond comprehension, or too outdated to be useful. You’re left with an interface that works, but a backend that no one fully understands. No documentation. No clean code. No clear path forward. What if you could still rebuild the entire application, its interface, functionality, and structure using nothing more than a screenshot or a screen recording?

Noon’s dominance in the MENA region isn’t just a story of logistics or sleek UI; it’s about building a business that deeply understands and adapts to local consumers. Launched in 2017 by Mohamed Alabbar, Noon raised over $2 billion and became the Middle East's answer to Souq (now Amazon), proving that even markets with 23 years of dominance present opportunities for strategic regional champions. Noon saw an opportunity in hyper-localization for the Middle Eastern market. The MENA (Middle East and North Africa) e-commerce market is expected to hit $80 billion by 2029, driven by high internet and smartphone penetration rates.

Autonomous agents are no longer a research concept; they are being deployed to handle complex, multi-step workflows across tools, departments, and even entire business units. From automating software engineering tasks to accelerating product research or managing multi-channel operations, agentic AI frameworks are powering a new class of systems that can reason, plan, and take actions with minimal human intervention.

Even after crossing the beta testing phase, QA teams find themselves stuck in long testing cycles, putting in tens of hours of manual effort before the software or a feature is ready for release. At this point, quality assurance becomes more than a checkpoint; it is the deciding factor between a successful launch that entices users and one that is forgotten.According to a blog by Forasoft , companies using AI for testing have reduced their test script maintenance efforts by 85%.

As AI becomes deeply embedded in everything from national security to healthcare and education, a new question is arising: Who really controls the artificial intelligence that is shaping our future? That’s where Sovereign AI enters the conversation. It’s not just a technical term; it is a growing movement among nations to build and own AI systems that reflect their values, protect their data, and reduce reliance on foreign tech giants. 

Artificial intelligence is stepping into a new phase, one where it doesn’t operate in isolation, but in collaboration. As real-world problems grow more complex and dynamic, there’s a growing shift toward AI systems that think, act, and adapt collaboratively. That’s where multi-agent AI systems come in: networks of intelligent agents that work together, often with competing or complementary goals to solve problems that a single AI simply can’t handle alone.

Some decisions in AI system design may seem minor at first glance, but can have a lasting impact; one such choice is between building a stateful or stateless AI agent. While the difference may seem technical on the surface, it has a strong influence on how your system responds, learns, and scales over time. Whether you're working on a simple query-response bot or a complex, context-aware assistant, the architecture you choose can shape the entire user experience. 

AI is becoming a central component in shaping e-commerce, not just through automation, but by enabling smarter and more personalized digital experiences. According to SellersCommerce, the valuation of the global AI-enabled eCommerce market is projected to reach $8.65 billion by 2025 and grow to $22.60 billion by 2032, fueled by a 14.6% CAGR. 

Efficient customer support increasingly relies on intelligent systems capable of understanding and resolving issues without constant human oversight. AI agents are stepping into this role, managing routine inquiries and freeing human agents to focus on more complex tasks.

AI is no longer just a tool, it is becoming a decision-maker. While Generative AI has taken the spotlight by creating text, images, and even code at scale, a new contender is rising: Agentic AI. Unlike generative models that simply respond to prompts, agentic systems can take initiative, make decisions, and pursue goals with a degree of autonomy. So, what happens when AI stops just generating content and starts acting like an agent? 

Deciding whether to build custom software or buy an off-the-shelf solution is a crucial decision that can impact your company’s growth, efficiency, and competitiveness.  For businesses operating at a particular scale or launching from scratch, this decision goes beyond price - it’s about control, customization, and making sure the software can handle complexity as the company scales.

Gen Z’s shopping habits are driving a major shift in retail, and for tech leaders, the focus is on how to meet their expectations for speed and personalization. AI in visual search is quickly becoming the preferred tool with the majority of Gen Z favoring it over text-based searches. They want quick results, where a single photo can lead them directly to the products they’re after. AI-powered styling takes it a step further by analyzing personal preferences and delivering real-time suggestions that align with each shopper’s unique taste. These tools don’t just cater to Gen Z’s desire for instant gratification - they create new opportunities for brands to understand and engage with their audience more deeply. 

AI has become the backbone of innovation across industries, but not all AI systems are created with full transparency. Black Box AI is one of the most talked-about and often controversial concepts in this space but what is Black Box AI?  Black Box AI refers to AI models whose internal workings are either too complex to understand or are hidden, which makes it difficult to explain how they arrive at specific outputs or decisions. Unlike traditional algorithms, where cause and effect can be clearly traced, Black Box AI operates behind a veil of complexity, often using deep learning models with millions of parameters.

Standing out in the e-commerce industry isn’t just about offering more products - it is about offering the right products to the right people. From personalized product recommendations to targeted email campaigns and dynamic website content, these efforts are all done to make the shopper feel understood and valued.

E-commerce success isn’t just about great products - it’s about speed, discoverability, and seamless user experience. Shoppers expect instant page loads, frictionless navigation, and personalized interactions, and anything less can drive them straight to a competitor. This is why more businesses are turning to Next.js, a framework that’s redefining how online stores operate.

  APIs - Application Programming Interfaces have always been the backbone of modern software. They are the bridges that let apps communicate with each other which makes everything from mobile payments to social media integrations possible. Over the years, APIs have evolved from simple REST designs to more flexible models like GraphQL. But as our need for instant communication and scalability grows, a new player has taken the spotlight: Event-driven APIs.

JavaScript frameworks have made web development easier by providing tools to build fast and dynamic applications. Among the vast ecosystem of frameworks and libraries - React.js and Next.js stand out as two of the most popular choices.  React.js is a UI library for building interactive interfaces while Next.js extends React with additional features such as server-side rendering and static site generation. Choosing the right framework for your project is important as it impacts the performance and development speed of the project.

Artificial Intelligence has made remarkable progress in processing visual and textual data separately, but real-world scenarios require a combined understanding of both. This is where Vision Language Models (VLMs) come into play. VLMs are AI systems designed to process and understand both visual and textual information simultaneously, enabling them to interpret images in context with language and vice versa. 

With thousands of online stores at our fingertips - one of the biggest challenges for eCommerce businesses is customer loyalty. According to HubSpot research, the probability of selling to an existing customer is 60-70%, compared to merely 5-20% for a new one. So, how do you turn one-time buyers into lifetime customers?  The answer lies in a well-crafted loyalty program - these programs have grown from simple point-collection systems into exciting engagement engines that drive billions in revenue.

The rising implementation of AI into applications has increased the demand for robust and user-friendly AI APIs. These APIs act as the bridge between complex AI models such as LLMs and the developers building the next generation of applications. As AI continues to permeate multiple industries - the requirement for smooth AI integration is becoming important. AI APIs allow businesses to leverage the power of AI without the need for deep technical expertise, enabling a wide range of users to tap into advanced AI capabilities quickly and efficiently.

In the space of software development, maintaining clear, up-to-date, and interactive documentation is highly important. This is where application programming interfaces (APIs) play a crucial role. 

As we move forward to the future where AI has already started reshaping various industries, image recognition technologies stand at the forefront of innovation.  According to a study conducted by Grand View Research, the global image recognition market size was valued at USD 45.02 billion in 2022 and is expected to expand at a CAGR of 13.4% from 2023 to 2030.

As we move into 2025, conversational AI is making waves across various industries. According to a report from MarketsandMarkets, the market for conversational AI is expected to grow from USD 13.2 billion in 2024 to USD 49.9 billion by 2030. This growth with a CAGR of 24.9% highlights the growing dependency on AI-based interactions that improve customer experiences.

As per a report by Markets & Markets, the Cloud AI Market is growing rapidly with projections indicating a valuation of USD 274.54 billion by the year 2029, growing at a CAGR of 32.37%. A key driver of this growth is Generative AI, which is taking center stage in a variety of applications. In general, AI models with their core in Gen AI, attract high cloud costs as they require a large amount of computation power to keep them running. Hence, there arises a need for business leaders to manage and optimize these expenses wisely.  Let’s peek into how adopting cloud cost optimization techniques can ensure the long-term success of your Gen AI-based applications and ways to do so.

Synthetic data is a term that's been buzzing around the tech world, especially in discussions about AI. So, what exactly is it? 

Augmented Reality (AR) is the buzzword of tech industry today. The idea of taking digital or computer generated information (audio, video, images, touch, or haptic sensation) and then overlaying them to the real environment has been accepted enthusiastically. While AR can augment all five senses, but its present use cases are mostly visual.

Choosing between a data lake or a data warehouse can feel like trying to pick the perfect storage unit. Do you need a big and messy space where everything fits or a tidy one that only holds what’s important? While this might sound like a difficult decision to make, it doesn’t have to be one. Once these two concepts are understood, it will be easier to decide which is best for your business.

A Conversational UI lets you communicate with technology as naturally as you would in a conversation with a friend. It enables seamless communication through simple and human-like exchanges - whether by typing into a chatbot or speaking to a voice assistant. From asking Siri to play your favorite song to engaging with a customer support bot, Conversational UIs are designed to make technology more intuitive, accessible, and personalized.

Artificial Intelligence (AI) is transforming every aspect of the software development cycle, driving speed, efficiency, and innovation. At the forefront of this evolution lies AI-driven DevOps, which combines the powerful capabilities of AI technologies with the collaborative culture of DevOps. It is interesting to note that the global AI in DevOps market size is estimated to reach USD 24.9 billion by the year 2033. This exponential growth highlights the organizational shift towards automation, which drives faster deployment cycles, enhanced predictive capabilities, and streamlined workflows. The integration of AI into DevOps is pushing business leaders to reimagine the landscape and enabling smarter automation and frictionless CI/CD pipelines.

Ensuring a user-friendly experience is essential nowadays; it's not a choice anymore. But how can you make sure that your app provides the best experience for your users? This is where a UX audit comes into play. 

Any successful product development process relies on the alignment between design & development. When these teams aren’t aligned, even the most brilliant design concepts can fall short during the development phase which can lead to delays and costly reworks. DesignOps emerges as a remedy to address this issue effectively. Being a tech leader, you know that optimizing collaboration across teams is very important to stay competitive. This is where DesignOps comes in. By implementing structured processes, tools, and workflows, DesignOps makes sure that the design concept is translated seamlessly into the final product. It reduces obstacles, improves cross-team collaboration, and ultimately accelerates time to market. 

As organizations shift towards more integrated and agile practices, one approach has emerged as a key enabler of success: API-First Development. This strategic methodology prioritizes the design and development of application programming interfaces (APIs) before any other aspect of software development. By placing the API at the forefront, organizations can improve collaboration among development teams, enhance user experiences, and create much more reliable and scalable software architectures.

DevOps has become an essential part of modern development but as teams expand, the requirements for smarter and faster solutions grow. This is where AI comes into play by automating tasks, anticipating issues, and enhancing teamwork. 

Microsoft's announcement about 10 autonomous AI agents has stirred waves in global markets, sending a signal to others to usher in the race.  To no surprise, the AI agents market is projected to skyrocket from USD 5.1 billion in 2024 to a significant USD 47.1 billion by 2030. This rapid growth is not just a sign of a passing trend; it's an indicator of a profound shift in how we approach automation, decision-making, and even creativity.

Choosing the right approach for data exchange can be an essential decision that can shape how efficient and successful your digital product becomes. Two of the top choices out there are GraphQL & REST APIs each with its pros and cons. For tech leaders, understanding the differences between these two isn’t just a technical detail - it’s a strategic decision that can impact your product’s performance and overall user experience.

Imagine having a replica of your car - a digital twin that can carry out all the functions of your actual car. This computerized model enables you to virtually drive your vehicle, explore its workings and even test out repairs or enhancements, all conveniently from your computer or mobile device. By experimenting with this twin, you can discover the methods to maintain your car, enhance its performance and identify potential issues before they escalate into real concerns. This digital companion acts as a tool that empowers you to oversee and upkeep your vehicle. Essentially a digital twin resembles owning a virtual version of your car that presents opportunities to enhance both your driving experience as well as vehicle maintenance.

How much does it cost to build a healthcare marketplace like Zocdoc? What are the must-have features and functionalities to build an app like Zocdoc? Which technology is best suited for developing an appointment booking app like Zocdoc?

With such information overload in the digital era, holding the attention of the users can feel like an uphill battle for many brands. As your customers move through endless streams of content right at their fingertips, getting your product to stand out is becoming harder by the minute. Enter scrollytelling - a dynamic way to keep your audience engaged with your brand through moving text and design elements that appear, disappear, or transition with each scroll. Readers don’t have to click or press anything to move ahead on the page. All they need to do is ‘scroll’.The idea of scrollytelling or applying interactive elements of design to content can breathe instant life into your project, website, landing pages, etc. Let’s take a deep dive into what scrollytelling is, why it matters, its benefits, and how can brands tell immersive stories with designs.

Checkout is the most crucial stage in a user journey on an e-commerce platform. Steps such as filling out details, verifying items, and making the final purchase decision, demand a lot more thought process than any other stage in the journey.Any friction point such as additional form fields, login requests, slow loading speed, etc. on the checkout page can throw off the user’s intent to buy the product or push them to rethink their buying decision leading to a loss in conversion & sales.

According to a recent report by Fortune Business Insights, the global SoftPoS market was valued at USD 293.6 million in 2023. The market is projected to reach USD 1,457.1 million by 2032, exhibiting a CAGR of 19.5% during the forecast period (2024-2032). This surge shows how quickly businesses are adopting SoftPOS to stay ahead. By the late 1980s and early 1990s, electronic POS systems emerged, integrating inventory management and sales tracking capabilities. Fast forward to today; we see an array of advanced solutions designed to cater to various industries - from retail to hospitality. But what drove this evolution? The answer lies in consumer behavior and technological advancements. Businesses needed efficient ways to process payments without compromising on customer experience or security. 

Agentic AI are AI systems that possess a certain level of autonomy, enabling them to make decisions, learn from experiences, and interact with their environment independently.

Modern-day users are incredibly demanding. They expect seamless, fast and highly personalized interactions at every touchpoint. On the other hand, brands are striving to meet these demands by creating experiences that are not only engaging and customized but also cost-effective. 

Research suggests that the average attention span of humans is less than 8 seconds. Hence, it becomes crucial for product companies to cut through the digital noise and craft experiences that are fresh, inspiring, and engaging for their users. Product designers must stay on top of the latest technological trends in UI/UX design such as minimalism, scrollytelling, neomorphism, etc. This way you can drive meaningful digital experiences while keeping your users hooked. Let’s explore some of the most talked about UI/UX trends of 2024 in the blog today and deep dive into how you can make the most of them. Also, get a peek into what’s more to come in the future of design.

Imagine trying to solve a jigsaw puzzle without all the pieces. Won’t be possible, right? While you might be able to make some progress, you won’t be able to finish. Synthetic data is like having all the pieces of the AI puzzle with you -  right at your fingertips. It lets you build and fine-tune your models minus the real-world data limitations. Think of it as a flexible way to train your algorithms with vast amounts of artificial data that closely resembles the real one. Plus, it also helps you sidestep privacy challenges, security risks, and high costs that come with getting access to real-world data. 

Developing software that satisfies user demands and excels in a market requires more than just technical expertise; it calls for a thorough understanding of user requirements and market trends which is where product discovery frameworks come into the picture.

Businesses today often come across the challenge of picking the most appropriate architectural approach for their applications. Although microservices are known for their scalability and flexibility, modular monolith is stepping up as a great option for organizations seeking to balance between manageability and complexity.

The user experience (UX) plays a key role in determining the success of a digital product and can either elevate it or lead to its downfall. A substantial aspect of UX design revolves around the interaction between users and interfaces; however, there exists a hidden layer that is equally impactful - the subconscious layer. 

Algorithmic websites have become the driving force behind immersive and personalized shopping experiences. Imagine your last online shopping spree: the tailored recommendations, targeted ads, and seamless search results that you saw, weren’t just coincidences—they were the products of sophisticated algorithms at work. These algorithms are the brain behind how algorithmic websites work. Wondering what are algorithmic websites? Simply put, these are websites that use complex algorithms to deliver personalized recommendations and content to users. 

AI Avatars are an exciting new development giving a new dimension to interacting with patients remotely for health care services. According to Global Market Insights, the AI avatar market size was valued at USD 5.9 billion in 2023 and is estimated to register a CAGR of over 30% between 2024 and 2032.

From chatbots to predictive analytics, AI promises to transform how we live and work. But in all the hype and excitement, what real tangible value can AI bring to businesses? Understanding of real potential for AI goes beyond the flashy headlines and tech jargon.

Currently at 20.9 billion in 2024, the global AI in Healthcare market size is set to reach at 148.4 billion by 2029. Moreover, a report by McKinsey and Harvard researchers reveals that AI could save the healthcare industry up to $360 per year. These statistics clearly indicate that we will continue to see considerable transformations in the healthcare landscape with AI at the forefront, leading the change. Been around for decades, Chatbots have recently gained significant attention due to the advancements in the field of AI. With features like automated query resolution, appointment scheduling and much more, chatbots have accelerated the pace of change and have made healthcare more accessible.

With smart manufacturing & Industry 4.0 reinventing the landscape, the need for advanced and interconnected manufacturing systems is now even more essential than ever. At the centre of this evolution lies Manufacturing Execution Systems (MES), weaving emerging technologies such as Industrial Internet of Things (IIoT), artificial intelligence and cloud computing, into the intricate process of manufacturing.

Over time, there has been an astronomical rise in the number of ways Artificial Intelligence can be utilized for the betterment of everyday lives. The technology is almost everywhere- in traffic predicting Google Maps, in video surveillance cameras, in face recognition apps, in speech recognition & language translation solutions, etc. In fact, AI is one of the trending technologies during the COVID-19 pandemic.

With the changing consumer behaviour and desires, the lines between the industries such as retail, fashion, fintech and healthcare are slowly and steadily fading with technology. What we are seeing today is a universe where smartwatches are used for payments, smartphones are enabling everything from virtual shopping to virtual tours, credit cards are branded with in-store offers, and online pharmacies are delivering smart health devices right at the doorstep. One such technology that is changing the way we look at the future is - Wearables.

Medical imaging technologies such as X-rays, MRIs, and CT scans have been crucial in diagnosis for years. AI introduces a paradigm shift by improving diagnostic accuracy, streamlining analysis processes, and reducing errors made by humans. The potential of AI not only benefits patients by enhancing outcomes but also optimizes operational workflows making it an essential tool for forward-thinking healthcare organizations.

What if one could accurately estimate customer demand and raise or lower prices accordingly in real-time? This appealing possibility is what AI-driven dynamic pricing offers. This isn't just a futuristic concept. It’s a reality that leading companies are already using to increase revenue and customer satisfaction. 

Globally, 1 in every 2 outsourced projects either fail outright or fail to meet the client’s requirements. Most software development projects fail or lose momentum because organizations choose a software development company based on cost comparisons or skill sets in any specific technology. However, this approach can slowly lead to a growth gridlock and push you way behind your business goals.

Agile methodologies are an integral part of modern software development. Their focus on adaptability and customer feedback makes them important in software development. On the other side, AI is changing industries with automation, data analysis, and smart decision-making.

How do fintech companies manage to keep pace with rapid innovation while meeting stringent regulations? Although the fintech business is increasing, nourished by the support of new technologies and changing customer needs, its fast growth poses two major challenges: innovating and complying with complex regulatory rules. A balance between these two is therefore very important for fintech companies. It assures sustainable growth, builds customer trust, and avoids legal complications.

Integrating data from disparate platforms is becoming increasingly critical in the healthcare industry. Application Programming Interfaces (APIs) are essential tools that enable multiple systems to communicate and share data seamlessly. APIs enable healthcare providers to access real-time data, optimize operations, and build innovative patient care solutions.

In the dynamic world of financial technology, innovation is essential for staying competitive. Integrating voice-activated AI assistants into finance solutions presents an innovative opportunity for tech leaders. If users can effortlessly manage their accounts with simple voice commands; this is the future of user experience. These smart assistants make interactions more intuitive and efficient, hence increasing user satisfaction and operational effectiveness. 

The fintech industry is changing the world of financial services by providing new ways to handle money. However, these advancements come with various challenges to protect the large amount of sensitive data involved. The General Data Protection Regulation (GDPR) is a set of data privacy laws that aim to the privacy of EU citizens. For fintech companies, adhering to GDPR compliance is more than just a legal requirement but also a smart move for their business.

Integrating AI with established legacy systems presents both, a challenge and a business opportunity. Legacy systems are crucial to many businesses. However, they often struggle to keep pace with modern requirements due to their limited flexibility and outdated technology stack.

As per a report by MarketsandMarkets, the global healthcare IoT market size is anticipated to increase from USD 127.7 billion in 2024 to USD 289.2 billion by 2028 at a CAGR of 17.8% over the forecasted period.

With the plethora of Fintech apps available at users' fingertips, retaining user attention and driving engagement has become a significant challenge for leaders in the fintech space. So, how can fintech apps stand out in this crowded sector? That’s where gamification comes in. From earning badges for reaching savings milestones or leveling up for smart spending, gamification can make managing finances more enjoyable.

Fintech apps have emerged as powerful tools for investors that provide a range of services from portfolio management to real-time market analysis. However, users are not just looking for generic advice but they want recommendations that fit with their unique financial goals and risk tolerance.

Enhancing user experience has become one of the major talking points for tech leaders. Users are constantly craving for ease of use in applications that they tend to use on a regular basis. One of the innovations that is making waves across applications in various industries is multimodal interactions. It includes integrating various input methods in an application such as voice, touch, gestures, and visual inputs to provide more natural and intuitive interactions with the device. Combined with Artificial Intelligence (AI), these diverse inputs can become smarter and more context-aware, providing that wow factor in the application. 

Software development technology has become essential for maintaining a competitive advantage and providing better patient care. With the global dental industry market valued at USD 34,245 million in 2022 and an estimated reach of USD 55,351 million by 2031, growing at a CAGR of 5.48% during the forecast period (2023-2031), dental processes are evolving from basic care centers to complex healthcare hubs that use digital diagnostics, treatment planning, and patient engagement tools.

While considering the overall success of a platform, it cannot be defined by its features only, but also by its ability to attract and retain its users. However, many organizations struggle with user adoption due to several factors such as lack of awareness, complex usability, and many others.

The approach to reusability and customization is like walking on a tightrope. You ought to keep a balance of both aspects to successfully walk through it.  Reusability is developing software components that can be easily used and plugged into different applications without modification. On the other hand, customization is about changing the software to fit the special needs and likes of a particular user or business use case.

FinTech solutions have been revolutionizing financial services as we know them, thanks to their pairing with AI, the blockchain, IoT, and other inventive technologies. The latest technological entrant that is disrupting the FinTech paradigm is Embedded Finance. Embedded finance is increasingly helping simplify the payment processing workflow and opening up newer opportunities for better customer service.

Technology leaders are dealing with more complicated code and strict time constraints, making it challenging for conventional testing methods to meet the demands. Thankfully, AI has come to the forefront to resolve this problem efficiently and at scale.

Artificial Intelligence (AI) is transforming organizations by offering more efficiency and problem-solving skills. However, AI development can be costly due to the high computation demands and enormous data processing requirements. When using cloud environments, these costs may escalate rapidly if not adequately managed. 

FinOps and the Software Development Life Cycle (SDLC) are two fundamental concepts in modern technology management. What FinOps does is simplify financial operations that are carried out using cloud systems by ensuring accountability and cost transparency. The SDLC describes a structured process of software development, with phases extending from design to maintenance to ensure quality and efficiency.

Mobile banking, investment apps, wealth management applications, wallets, and stock trading applications have reshaped the finance industry for the good. However, this has also introduced security challenges. Fintech applications have become increasingly more exposed to cyber threats, such as data breaches, phishing, identity theft and financial fraud.

In Fintech, UX design is critical for making complex financial services more user-friendly, enhancing usability, and increasing customer loyalty. It enhances how users interact with digital products, with an emphasis on customer satisfaction.

As developers and companies seek cost-effectiveness in the software industry, they face a strategic decision: should you have one set of code that works across your websites and mobile app, or separate code for each? This decision can impact your project's agility, costs, and scalability.

When considering agile methodologies, Scrum typically takes center stage in the discussion due to its long-standing status as the preferred choice among product managers for the past 15 years. However, an in-depth analysis of the annual State of Agile reports reveals a shifting landscape, where alternative methodologies such as Feature-Driven Development (FDD) are gaining prominence.  

Recommendation engines stand as the backbone of personalized online experiences, guiding users to discover content, products, and services that meet their preferences. From driving online shoppers to their next favorite product, or suggesting the next binge-worthy movie according to the viewer’s genre history, recommendation engines are the hidden force behind driving user-preferred actions on digital platforms. 

Imagine opening your food ordering app and being greeted with your favorite food list, or visiting an online store and finding the items you've been longing for already lined up, waiting for your approval. This isn't magic; it's predictive UX at work. It's like a friend who remembers your preferences and surprises you with choices that feel handpicked—with a touch of Artificial Intelligence(AI).

Artificial intelligence (AI) solutions are redefining daily life and global business operations, offering unprecedented speed and efficiency that surpass human capabilities. However, as this new "intelligence" unfolds, a critical question arises: Can it embody qualities beyond mere logic and reasoning? Specifically, will emotion play a role in AI's functionality, and can it ever rival human capacity for sensing and feeling?

As of 2024, the Office for Civil Rights (OCR) has settled 142 cases of HIPAA violations, resulting in various covered entities facing over $142 million in penalties for non-compliance. These penalties, although significant, represent only a fraction of the consequences for violating HIPAA.

Growing up, sci-fi movies always fascinated me. Remember the distress message from Princess Leia, in the form of a 3D hologram in Star Wars. Or the video calling scene from the movie Thunderbirds. By far one of my favorites is the character, J.A.R.V.I.S. an AI (Artificial Intelligence) from Iron Man, which also resembles the innovation of chatbots in today's time. Sci-fi has been the inspiration behind many such innovations.

The era of carrying bulky wallets stuffed with various cards, receipts, and cash has completely faded. We've entered a new era of financial transactions, where the demand for contactless payments has skyrocketed. This shift from cash to digital payment options eventually has led to increased downloads for peer-to-peer (P2P) payment apps such as Venmo, Paytm, and Google Pay.

Less than two decades ago, Deep Learning (DL), or the simulation of human neural networks, was only a concept limited to theory. Fast-forward to the present day and it is being leveraged to solve real-world problems such as converting audio-based speech to text transcripts and in the various implementations of computer vision. The underlying mechanism behind these applications is known as the Attention Mechanism or Attention Model.

When it comes to online music streaming, Spotify's impact on the music industry is undeniable. Founded by Daniel Ek and Martin Lorentzon, Spotify was created to tackle music piracy and has successfully attracted millions of users who choose to pay for their music, which has significantly reduced piracy. 

The incorporation of information technology since the mid-90s increased productivity among different sectors around the world. There’s no two ways about it. Healthcare on the other hand was one industry that took its own course to transition from a largely paper-based process to digitization.

Whether it's shopping, job interviews, education, or payments, more and more people are making the switch to the virtual sphere. And it makes sense - doing things digitally is not only cost-effective but also faster. For instance, these instant payment services; when it comes to paying, why bother with cash when you can just click a few buttons and be done?

Cybercriminals are constantly waiting for opportunities to exploit your organization's system security flaws. While the motivations of these hackers vary, be it political, financial, or just to gain notoriety, they all constitute a severe threat to your company's confidential data. There are several points of entry known as security vulnerabilities that are defined by the Open Web Application Security Project (OWASP) community.

As the programming ecosystem proliferates, a number of frameworks, libraries, and tools are being introduced to ease the software development cycle. Not just do they reduce the lines of code, they are mitigating the time between prototyping to production. 

Python has gained a lot of popularity in recent years and it doesn't seem to be losing momentum anytime soon. According to current trends, Python is currently ranked as the second most popular programming language, with a significant increase in usage over the past year.  And we anticipate another 50 percent increase in its ranking by the end of 2024.

Not too long ago, healthcare was all about personal connections between doctors and patients, using handwritten notes and talking directly. But as healthcare grew and more information about patients came in, it became clear that we needed a better and more organized way of doing things. Hospitals and clinics had to change how they worked, aiming for smoother processes, quicker decision-making, and better communication among healthcare workers.

There are some key DevOps practices that enable organizations to automate and streamline the software development processes. Continuous Integration and Delivery (CI/CD), Continuous Deployment, Microservices, Infrastructure as Code (IaC), Containerization, Monitoring & Logging are a few of them. 

Python has evolved as one of the most versatile programming languages. Introduced in the year 1991, it has become one of the favourite programming languages for developers, startups, and some of the giant tech brands for several reasons. There are thousands of applications built using this server-side programming language.

The healthcare industry is on a constant lookout for digital solutions to conduct the financial, administrative, and clinical operations of a hospital. These days, these are largely carried out by means of a set of informatics tools, collectively known as Hospital Information Systems (HIS). In addition to a  patient's health information, inventory and personnel data are also stored, managed, and transmitted across a HIS.

Fast Healthcare Interoperability Resources (FHIR) is a healthcare data exchange standard created by Health Level Seven or HL7. Having developed advanced tools for safe and secure data exchange such as EMR, Diagnostic Data, or PHI – FHIR has given a boost to the healthcare sector.

The evolution of React Native technology is quite fascinating. What started as Facebook’s internal Hackathon project in 2013 is now one of the trending frameworks for Android and iOS mobile app development. In March 2015, Facebook, in its F8 conference announced the availability of React Native on Github. And now, developers are making the most of modern web techniques on mobile.

User experience (UX) has always been the element of precedence in a mobile app. A lot of efforts are put in to refine usability of an app and all of it starts with the login screen design. 

Cross-platform development toolkits are winning over the developers’ community. Reusable blocks of UI, reactive performance, code usability on multiple platforms are some of the reasons why these cross-platform app development frameworks are gaining ground. One such sought-after framework for mobile app development is Flutter by Google.

The accuracy of deep learning models depends upon the quality, quantity, and contextual meaning of the training data set. However, the scarcity of this up-to-the-market data set is one of the major challenges in building DL models. 

Over the years, traditional financial systems have grappled with a set of enduring challenges – they've been exclusive, often inefficient, and quite opaque. Geographic constraints and bureaucratic complexities have left a significant portion of the population without access to essential financial services. These hurdles, coupled with the reliance on centralized intermediaries, have introduced risks and bottlenecks, impeding the smooth flow of transactions.

Artificial Intelligence (AI) is everywhere. The possibility is that you are using it in one way or the other and you don't even know about it. One of the popular applications of AI in custom software development is Machine Learning (ML), in which computers, software, and devices perform via cognition (very similar to the human brain). Herein, we share few examples of machine learning that we use every day and perhaps have no idea that they are driven by ML.

In a world that is becoming increasingly interconnected, the importance of effective communication cannot be overstated. However, for the millions of individuals in the deaf and hard of hearing community, traditional communication methods often fall short, creating barriers that hinder their full participation in various aspects of life.

On average, a human speaks 700 words per day, which includes the words of actual value (i.e. words that have an intent to communicate to another person). Instant messaging, telephonic conversations, books, movies, songs, verbal (F2F) communication are amongst some of the common ways humans exchange their thoughts and information.

Businesses no longer need to bear the burden of expenses tied to dedicated cloud servers during periods of inactivity. Serverless technology has emerged as a practical solution, enabling businesses to allocate developers without the necessity of substantial spending on backend frameworks.

Large Language Models (LLMs) have long been at the forefront of artificial intelligence, leveraging vast amounts of textual data to perform tasks ranging from language translation to content generation. These models have laid the foundation for numerous applications, fundamentally transforming the way machines understand and generate human-like text. However, as the landscape of AI continues to evolve, a shift is occurring with the rise of Multimodal LLMs.

The era of guessing your size and hoping for the best when ordering clothes online is becoming a thing of the past. In today’s digital world, shoppers are looking for a more tailored experience, one that mirrors the personal touch of in-store shopping but the convenience of doing it from their own home. This is where the idea of trying on clothes virtually, with the help of smart technology, comes into play.

The Internet of Things (IoT) is a technological framework that is being adopted in myriad industries at a fierce rate. There has been continuous innovation in this field of technology as it converges with various technology stacks associated with Big Data and Artificial Intelligence. Simultaneously, the number of connected IoT devices is also increasing rapidly, posing the need to improve one of the most important aspects of IoT - scalability.

AWS and GCP are two of the popular public cloud platforms. Although GCP gained momentum recently, AWS remains the dominant player in this market. Data is the backbone of all successful app deployments, analytics workflows, and machine learning practices. While migrating data between the clouds, you first need to understand the location where you will move the data for various use cases, the variety of data you are moving, and the available resources.

The adoption of cloud solutions has become a fundamental aspect of corporate strategies. Regardless of the extent to which a company relies on public cloud services, integrating cloud solutions into their operational plans has become commonplace. This shift is primarily driven by the convenience, affordability, and reasonable reliability that cloud technologies offer.

The introduction of chatbots revolutionized customer and brand interaction. With the ability to mimic conversations and offer instant, digital connection, chatbots made their way into businesses like a wildfire. In fact, Gartner predicts that more than 50% of enterprises will spend more annually on bots and chatbot creation than traditional mobile app development.

Daffodil Software, a global leader in software engineering solutions, announces its inclusion in the Everest Group's PEAK Matrix® Assessment 2023 for Next-Generation Quality Engineering (QE) Services. The provider has been positioned as an 'Aspirant' in the Quality Engineering QE Services category.

Benefits of cloud are no more limited to shared infrastructure to host an application. Cloud-native, that leverages loosely-coupled components of cloud for application development is gaining grounds in the software industry due to its exponential scalability and increased robustness.

The increasing business complexity and demand for highly scalable applications have brought a paradigm shift in how software applications are engineered. In the past few years, different software architectures are adopted by developers to reduce code complexity, improve fault isolation, and minimize time-to-market.

Vision AI (also known as Computer Vision) is a field of computer science that trains computers to replicate the human vision system. This enables digital devices (like face detectors, QR Code Scanners) to identify and process objects in images and videos, just like humans do. 

Have you noticed the ‘Smart Compose’ feature in Gmail that gives auto-suggestions to complete sentences while writing an email? This is one of the various use-cases of language models used in Natural Language Processing (NLP).

Software development methodologies have come a long way. From Spiral to Waterfall to Agile, there is a significant shift in team roles, ceremonies, planning, and delivery activities. And if we talk about the pace at which software applications are brought to market these days, Agile seems to have made an impact and is considered the most relevant approach to manage the SDLC cycle. 

The idea of adopting an iterative development approach has been gaining grounds in the software industry. Agile methodology for project management, which was introduced back in 2001 has transformed the way software development companies deliver the product throughput.  The Kanban Vs Scrum tilt has been going on for quite a time now. Here are the key differentiators that hold them apart. 

Ever since the intense scrutiny faced by organizations that developed COVID vaccines, pharmacovigilance has become a hotly discussed area of interest. The practice of pharmacovigilance basically aims to reduce the entry of drugs with adverse side effects into regular circulation. Artificial Intelligence (AI) has been permeating this field in recent years due to the immense potential for automated pharmaceutical discovery that it offers.

Artificial Intelligence (AI) has introduced major breakthroughs as fintech solutions in the finance industry. Risk management, customer segmentation, credit scoring, personalized banking, process automation, etc. are some of the advantages of AI and its technologies that are leveraged by the finance sector. 

Conversational systems that leverage Artificial Intelligence (AI) have helped automate a wide range of business processes, especially those involving interactions with the customer. Natural Language Processing (NLP) comes into play for a majority of these processes, but it is often hindered by functional hurdles. Reinforcement learning is a method for navigating these hurdles to make NLP-driven business processes more seamless.

There are Yottabytes of sensitive data being generated from the interfacing of humans with machines. For cost-effective and optimal enrichment of this data, Machine Learning (ML) algorithms are our best bet. One of the most reliable categories of ML algorithms is clustering algorithms, irrespective of the complexity of data.

Natural Language Processing (NLP) is a pre-eminent AI technology that enables machines to read, decipher, understand, and make sense of human languages. From text prediction and sentiment analysis to speech recognition, NLP is allowing machines to emulate human intelligence and abilities impressively.

To me, nothing seems more fascinating than the fact that machine, a manifestation of human knowledge, could be developed to such an extent that it is able to be on par with human. Be it self-driving vehicles, the infamous Chess match or Google's Alpha Go, technology is giving end-to-end competition to humans. With the rapid advancement of technology and automation, there is rarely a field left untouched by machines. One such field is the healthcare industry.

Artificial intelligence (AI) has made waves across industries, revolutionizing various fields of work, and the cybersecurity sector is no exception. With its rapid evolution, AI has become a driving force in shaping the future of cybersecurity. As organizations strive to safeguard their sensitive data and protect their systems from the ever-changing threat landscape, the need for AI-driven patch management has become increasingly apparent.

In a world where machine learning is ubiquitous, the power of this technology is undeniable. From helping diagnose illnesses to predicting customer behavior, machine learning has disrupted countless industries with its endless possibilities. However, with great power comes great responsibility, and one of the greatest challenges facing machine learning is its susceptibility to deception.

As our reliance on technology intensifies, the demand for faster and more powerful solutions becomes increasingly pressing. While classical computers have served us well, they face inherent limitations when tackling complex problems. That's where quantum computing comes in—a paradigm that taps into the enigmatic principles of quantum physics to unlock computational power.

At various stages of the buying journey, retail customers today switch between devices quite frequently, sometimes in the middle of a single session. Retail companies must align their digital platforms as well as physical outlets in a way that allows this kind of switching without losing details about any of the saved cart items or billing information. Omnichannel commerce that unifies disparate points of interaction is not just a feature but a default requirement to operate in the e-commerce arena.

As the popularity of public cloud services soared and businesses rushed to migrate their applications, the practice of monitoring and reporting on cloud expenses swiftly became an essential task for every team. However, what many organizations soon realized was that while a cloud migration may offer savings on data center costs, it also presents a whole new set of financial challenges to navigate.

Artificial Intelligence (AI) solutions that generate increasingly original content in the form of images, videos, and text have evolved into mainstream technologies today. The underlying innovation that has made this possible is Generative AI, a cutting-edge technology forcing several industries to rethink the way they function while easing workflows for others.

In the vast landscape of e-commerce, where industry giants dominate and small businesses often struggle to find their footing, a beacon of hope has emerged—the Open Network for Digital Commerce (ONDC). Endorsed by the Indian government, ONDC aims to level the playing field by providing small merchants and mom-and-pop stores with the technological capabilities typically reserved for their larger counterparts such as Amazon.

Around the world, businesses have been revving their implementation of technologies that leverage Artificial Intelligence (AI) in some way, shape, or form. While there are several enterprise benefits to the forward momentum of AI tech adoption, there is a laundry list of regulations and compliances to adapt alongside it. Organizations must demonstrate a readiness to adopt AI responsibly.

Monitoring application performance has always been a crucial aspect of software development. However, with the rise of distributed systems and cloud-native architectures, it has become increasingly challenging. The complexity of modern software systems has made it difficult to collect and analyze telemetry data effectively. This has led to a growing need for a standardized observability framework that can provide deep insights into system behavior. This is where OpenTelemetry comes into play.

In today's interconnected world, it has become crucial for brands to maintain relevance and uniqueness across all communication channels while ensuring a consistent and seamless customer experience. However, despite having advanced analytics systems and marketing automation programs, a significant challenge remains—connecting the dots and unifying data from various disparate systems.  

In the current healthcare landscape, personalization of patient care has become a top research priority and finds a place in active discussions around the improvement of healthcare workflows. The Digital Twin concept is at the forefront of these discussions as it is paving the way for the creation of groundbreaking digital applications that facilitate enhanced precision medicine, clinical trials, and population health.

The extent of innovation and advancement in Augmented Reality (AR) and Virtual Reality (VR) wearable technology has been explosive in the last five years alone. The latest entrant in this domain of technological disruption comes in the form of the Apple Vision Pro; a spatial computer vision-enabled headset that is far more than what meets the eye.

Running an e-commerce business is more than just having a website and selling products online. To keep pace with the competitive landscape, it’s essential to track and analyze key performance metrics to make informed decisions and drive business growth. 

Software applications have become the backbone of most modern businesses, powering everything from customer-facing applications to internal operations. However, as the complexity and scale of software applications continue to grow, so do the challenges that organizations face in delivering reliable and scalable software solutions. In response, platform engineering has emerged as a key solution.

User data and intellectual property in the IT industry have traditionally been protected behind a layer of perimeter security strategies. However, the global movement of development environments to hybrid cloud-based architectures has proven perimeter security measures to be inadequate. Increasingly IT companies are shifting to zero-trust network security measures with the globally recognized motto of "Never trust, always verify".

Every new technological innovation in any industry is dependent on the availability of infrastructure to support said innovation. For instance, Electronic Medical Records (EMR) could not have been a reality without the requisite facilitation of storage and performance-enhancing tools. Solutions implementing Software-as-a-Service (SaaS) is one such requirement for innovations in healthcare.

From its early days as a concept rooted in science fiction to the practical applications we witness today, AI has come a long way. This evolution has been driven by the desire to create intelligent systems that can simulate human-like cognitive abilities, learn from data, and adapt their behavior in response to new information and changing environments.

As the world around us changes rapidly, our aging populations, as well as public health crises ramp up the workload of providers, causing patient safety risks and negatively impacting patient satisfaction. There exists an untapped potential for modern technology to propel changes in the healthcare system to increase productivity, improve the efficiency of care delivery and enhance patient satisfaction. And, Artificial Intelligence (AI) is one such technology that has offered a real opportunity for medical organizations to deliver better quality care.

Compared to traditional brick-and-mortar retail stores, digital retail or e-commerce apps and websites are at an advantage because of the vast amounts of data they produce and also work with. So, e-commerce companies have immense potential to quantify the effectiveness of their strategies for growth and customer acquisition by availing the benefits of reliable Business Intelligence (BI) tools.

The arrival of Industry 4.0 heralds a new era of the industrial revolution, where rapid advancements in connectivity, mobility, AI, and ML are reshaping the business landscape. However, amidst this swift progress, we must also navigate the risks that arise from increasingly complex and automated systems that demand unwavering reliability and stability.

As healthcare progresses towards digitization, patients increasingly take control of their treatment decisions. To meet the needs of these empowered patients, the healthcare industry is turning to digital health solutions. Digital health refers to the use of technology to improve the delivery of healthcare, and one important subset of this field is digital therapeutics (DTx).

With the rise of digital platforms and the increasing demand for online services, companies are now under pressure to deliver high-quality software products at lightning speed. However, traditional approaches are no longer enough to ensure the desired level of quality. This is where TestOps swoops in as the key solution to address this challenge.

In the world of business, the race to stay ahead is a never-ending one. And in the technology landscape, it's a full-on sprint! That's why CIOs are constantly on the lookout for emerging technologies to give their organizations the edge.

Healthcare providers and their recipients are globally welcoming the increased adoption of Artificial Intelligence (AI), Virtual Reality (VR), blockchain, and so on. The field of healthcare has always been at the forefront of technological innovation, with advancements constantly being made to improve patient outcomes and quality of care. 

To succeed in today's competitive business environment, it's critical to provide superior customer service. One of the keys to delivering top-notch customer service is to enable your customers to search for their preferred product or service quickly and easily. However, this can be a daunting task if your organization has an enormous product base, making it challenging to access relevant information quickly.

The frequency of patients seeking access to telehealth services has risen dramatically since the pandemic in 2020. Consequently, there has been a consistent increase in the development of two-way telecommunications technologies to enable better Remote Patient Monitoring (RPM) and care delivery. 

With the recent advancements in chatbots enabling unprecedented levels of precision and innovative problem-solving, several verticals of the technology sector have been reaping the benefits. The wildly popular domain of DevOps is the newest entrant into the slew of sub-sectors leveraging the immense potential of chatbots.

Shopping has always been about the experience. Whether it's the thrill of discovering a new product, the satisfaction of snagging a good deal, or the convenience of finding everything you need in one place, retailers have always sought to provide customers with a memorable experience. And now, with the help of cutting-edge technologies like artificial intelligence, they're taking that experience to the next level.  

In the intensely competitive business landscape of today, organizations need end-to-end automated workflow management to give themselves a fighting chance. Intelligent Automation is the one-stop solution to ensure increased agility, enhance customer experience, and boost overall productivity for your business. However, intelligent automation without the necessary orchestration leaves much to be desired with regard to holistic success.

In the current market scenario, every day tends to bring a brand new innovation in Artificial Intelligence (AI) and Machine Learning (ML) to the forefront. Beyond their impact on various industries, these radical changes in AI and ML are affecting our daily lives as well. The most significant branches of AI such as Speech Recognition, Voice Synthesis, Intelligent Assistants, etc. are going through a ton of pioneering innovation at this very moment.

The growing use of artificial intelligence(AI) in sensitive domains such as healthcare, hiring, and criminal justice has sparked a debate about fairness and bias. However, it's worth noting that human decision-making in these areas is also susceptible to biases, which can be influenced by societal norms and unconscious beliefs.

From social media to mobile apps, technology has become an integral part of our daily lives. With such widespread use, it's no wonder that businesses are investing more than ever in digital products and experiences. However, with great power comes great responsibility, and businesses must ensure that the digital products they create are designed with ethical considerations in mind.

Electronic Health Records (EHR) have completely transformed the way hospitals operate and enhanced the quality of care delivery. Scheduling appointments, allocating prescriptions, and viewing diagnostic data have all become simple processes because of EHR-based digitalization. However, there remain many bottlenecks that have stood in the way of seamless industry-wide adoption of EHR.

While observability is an increasingly crucial part of DevOps-based software development, the associated costs are growing faster than infrastructure costs. IT organizations today face the challenge of balancing innovative observability strategies with maintaining sustainable business models.

Schools deal with multiple parallel workflows and involve various interconnected stakeholders such as teachers, students, and administrative staff. While serving students with optimal education, schools also need to optimize the management of the institution's business side to better serve everyone, which necessitates the need for School Management Software (SMS) and systems.

Edge computing has become increasingly popular in the digital landscape and taken several industries by storm, especially due to the surge of data generated by IoT devices, smartphones, and other endpoints.

From natural language processing to computer vision and beyond, there is a wide range of AI technologies that are being used to transform businesses across various industries. One of the latest development in this space is ChatGPT, which has recently made significant strides in advancing AI capabilities. With its recent updates i.e., GPT-4, enterprises are able to unlock new possibilities and stay ahead of the curve in an ever-changing business landscape.

The unprecedented proliferation of data generated by various digital sources has left businesses grappling with the complexities of managing large volumes of data. According to a report by IDC, the digital universe data is expected to reach 180 zettabytes by 2025. This massive amount of data presents significant challenges for organizations in terms of storage, processing, and analysis.

Generative Artificial Intelligence (AI) has revolutionized the way businesses interact with their customers, and Salesforce is no exception. As one of the world's leading CRM platforms, Salesforce has been leveraging generative AI technology to enhance its features and capabilities.

Enterprise software systems that help manage the workflows of large-scale organizations need Site Reliability Engineering (SRE) for ensuring their availability, resilience, and of course, their reliability. SRE involves monitoring the software system's performance and performing code fixes whenever problems arise. So, it is no surprise that observability is a crucial aspect of SRE and requires apt methodologies and automation tools to enforce.

With the growing need to understand customer needs and preferences, organizations are increasingly relying on CRM data to improve their sales and marketing strategies, manage customer interactions, and gain a competitive edge.

ChatGPT, the conversational Artificial Intelligence (AI) developed by OpenAI and backed by Microsoft, has taken several industries by storm. A number of AI solutions are set to change how businesses function and ChatGPT is expected to rule the roost for the next decade or so. Whether engaging the customer in new ways, enhancing workflows, or assisting with coding, the potential applications of ChatGPT are endless.

The integration of digital technology has become an integral part of every industry, whether it is for conducting business, medical implementations, or customer engagement. When it comes to medicine, EHR (Electronic Health Record) systems have become the backbone of healthcare organizations.  The implementation of EHR systems is now no longer seen as a luxury but a necessity for those looking to tap into the digital health space.

The heightening investment in the retail industry has been increasing the size of the convenience stores market in recent years. Leading the growth spurt is the 7-Eleven chain of 70,000 convenience stores spread across 17 countries in the Asia Pacific and Atlantic markets. The convenience store giant has been leveraging data analytics through a variety of approaches that ensure steady growth and proper convenience for its customers.

With the advent of Artificial Intelligence (AI), businesses have dramatically changed their operations and processes. As AI applications and tools have developed, businesses have been able to make more informed decisions and automate repetitive tasks, resulting in more efficient and effective operations. One of the most advanced AI algorithms that have gained prominence across various industries is Generative AI.

Having a robust sales strategy is the key to the success of every business. Therefore, in order to maximize the sales teams’ success, organizations have become increasingly dependent on their sales operations.

Conversational Artificial Intelligence (AI) is unarguably the most talked about subdomain of AI today. While ChatGPT's introduction by Microsoft in November last year shifted the world's attention to AI more than ever before, the discussion is further being ignited with Google's answer to it, termed Bard.

Conversational Artificial Intelligence (AI) has been making waves in the technology industry, especially with the introduction of Microsoft's ChatGPT. However, this chatbot has now found stiff competition with the announcement of a new rival that has been developed by Google, known as Google Bard. The next few months will witness how Bard will fare against ChatGPT in producing optimized, relevant results to all kinds of user queries.

It is well known that Electronic Health Records (EHR) arose out of the need for a more portable and integrable alternative to paper-based clinical documentation. While it is a no-brainer for enterprise healthcare organizations to opt for EHR, a fast-increasing number of small practices are also catching up to this trend. 

With the latest advancements in Natural Language Processing(NLP), generative Artificial Intelligence (AI) and other foundation models have completely changed the flow of business processes. By automating tasks that were previously done by humans, generative AI services have increased productivity and efficiency, reduced costs, and created new growth opportunities.

Every organization seeking to boost its business revenue needs a highly dependable and well-informed sales team. To maximize its potential, the sales team needs access to holistic and accurate customer data with considerable hygiene to rationalize account planning and increase Return on Investment (ROI). Simply put, a robust strategy for enriching the organization's Customer Relationship Management (CRM) data must be in place.

Daffodil Software, a leading software engineering company based in India, has achieved the ISTQB® (International Software Testing Qualifications Board) Silver Partner status. This ISTQB®'s Partner Program acknowledges Daffodil’s impeccable software quality assurance capabilities and affirms its commitment to bringing customers trust and satisfaction.

Is your team struggling to gain visibility into the performance, availability, and health of cloud applications & infrastructure? Do you need to automate cloud monitoring so that your team focuses on its core competency? If yes, then this guide will introduce you to the business-critical components of cloud monitoring and how you can leverage them to ensure automation & efficiency in operations. 

With the rise of cyber attacks, every organization knows that cybercriminals are becoming smarter and more malicious. They also have more resources at their disposal and can better hide their traces and evade detection. Therefore, having anti-virus software or a firewall is no longer enough for your business data security. Modern businesses require advanced approaches to cybersecurity and one of the effective solutions that play a major role in reinforcing system security is Pentesting or Penetration testing.

The key to steady growth and lasting success is building a positive relationship with your customers. Therefore, organizations are leveraging CRM software that streamlines consumer interactions. And, one of the most powerful CRM platforms in the market is Salesforce.

UX design is a broad and inclusive field and every organization in the world is affected. Modern design sensibilities permeate many industries and sectors. Good UX design enhances profits, client and user retention, satisfaction, and loyalty. With expert UX designers a business can improve the quality, measurement, and usability of its goods and services. 

Daffodil Software, a global provider of software engineering solutions, has been featured yet again in Everest Group’s PEAK Matrix® Assessment 2022. Daffodil has been recognized for the second time since its debut assessment in 2021. The provider has been positioned as an 'Aspirant' in Software Product Engineering Services for BFSI, Healthcare, and Retail sectors.

Data is a valuable asset for any organization, and using a range of dependable data sources can help improve the reliability and accuracy of the data. Data sources provide a way to enrich a dataset with additional data, which ultimately enhances the CRM data quality.

A large chunk of software development today takes place in cloud-based environments, with cross-organizational networks for resource sharing and data exchange. This opens up the applications and resources to several cyber threats that exploit common vulnerabilities and attack routes. Therefore, solutions for application security also referred to as AppSec, have become a necessary component of the software development lifecycle.

The current IT landscape necessitates faster development and delivery of software products as well as better collaboration between IT and operations teams. While DevOps offers the exact methodology for this, its implementation for the full automation of the software deployment pipeline requires optimal management of the processes and resources involved.

Drupal is amongst the most popular, open-source content management platforms. It has established itself in the market and has been growing since its launch. Community support for Drupal has made great strides and is always on track to stay up to date with the latest technology integrations. 

Customer Relationship Management (CRM) is a tool that serves as the single source of truth for all your organizational data while enabling sales teams to drive better performance. Bad CRM data, if utilized for your business initiatives, can cost your organization severely in terms of client relationships, loss of the market base, and ultimately, sales revenue.

Businesses are shifting their IT infrastructure to the cloud for the certain benefits that this new era of computing has. While cost, compliance, and performance are some of the obvious reasons for the change, a large share of the business community has failed to realize these gains. 

Business scalability, accessibility, and cost efficiency are just some of the often-touted economic benefits of cloud computing. Furthermore, these benefits transcend economic turbulence to a great extent, simply by enabling businesses to access computing resources whenever they need them. It also explains why cloud computing is the fastest-growing computing model, with global revenues expected to reach $1 trillion by 2026.

Your organization's sales team deals with large stores of data around customers and prospects captured in your Customer Relationship Management (CRM) system. Say your customer changes their role in their organization, their contact details, or other aspects of their profile - their data in your CRM can become stale if not updated and enriched periodically.

Technologies have become the primary vehicle of progress, which is true. However, there’s also the flip side of the coin: early subpar technological choices, if left unpruned, can result in technical debt. It may even lead to higher development costs, long time-to-market, and reduced productivity. With so much at stake, managing technical debt should be a priority both for CTOs and software developers.

The digital revolution has brought disruption in every field and mental healthcare is no exception. COVID-19 has provided us with an opportunity to improve the access to healthcare services.

Customer experience is a core focus area for businesses today. The perception of your brand or organization is an essential differentiator to achieving ideal outcomes in today's customer-centric business landscape. Accordingly, only with Customer Relationship Management (CRM) software that ensures efficient Customer Experience Management (CXM) can you build a brand or enterprise holistically.

With the exponential growth of automation in organization architecture and processes, data quality becomes the key differentiator behind a successful sales strategy. The accuracy and quality of CRM data become pivotal for the sales team, be it for creating customer personas or generating revenue – the success of your sales strategies depends on data quality.It is no surprise that sales leaders are striving to gain the most out of CRM data. But, without continuous maintenance of data, it can decay and become 'bad data' which can create multiple hindrances in the effective plan of action/ sales strategies. The bad data in your CRM refers to the 'wrong data’ which indicates missing, outdated, and incomplete data points.Statistics show that customer data decays at a rapid rate of 30% and costs the average business 15% to 25% of revenue annually therefore, it is essential to cleanse and enrich your data sets in CRM. In fact, according to IBM, bad data costs US businesses $3 trillion every year. This mind-boggling factor is why data quality improvement should be every organization's primary concern.Given that number, poor data can easily cripple your sales productivity, forecasting, and ultimately your business growth and revenue. On the other hand, high-quality data empowers sales reps to make decisions that will positively impact the success of an organization, improve its practices, and increase profits.If bad data isn't detected and fixed on time, it can create many hurdles for your sales team. It will hinder the outbound sales process and waste a lot of time and effort. As a result, it will cause operational inefficiencies and unnecessary costs, and also impact your customer experience.This blog will uncover how bad data affects businesses and why we should enrich it.

The operational and infrastructural overhead involved in running and maintaining cloud-based solutions is often massive. There is considerable effort and expenditure in the construction and scaling of storage systems for tons of user metadata and other in-house files. Dropbox, the file hosting pioneer, is a success story about how cloud costs can be minimized by intelligently managing your infrastructure.

The proliferation of digital transformation has made system reliability an essential component of any organization's bottom line. These rapid changes have become a new benchmark for success and efficient incident response is key in sustaining site reliability through these changes.

The automation of time-consuming tasks involved in marketing campaigns using Customer Relationship Management (CRM) software is an emerging trend. In particular, there has been an increase in the adoption of Salesforce for marketing automation because the resultant benefits far outweigh the associated costs and efforts involved in its integration.

With the continuous development in DevOps practice and its unparalleled benefits, now every organization wants to embed it in their software development lifecycle to make the deployment of software even faster and more efficient.

As software development gets complex, we see cross-functional teams collaborating to enable faster product delivery, optimize cost, manage infrastructure, and for several business benefits. An example of such a joint effort is ‘Cloud FinOps’ wherein finance, engineering, technology, and business teams aim at cloud financial management. 

Technology is embedded in every aspect of our lives. We rely on it for almost everything, especially to communicate with others. Simply, take the example of Siri or Alexa that we use in our day-to-day lives. Ever wondered how these virtual assistants understand and interpret our commands? How do they pick up terms and carry out the tasks according to our instructions? For example, when we ask Alexa to set an alarm for us.

Rolling out a new software system, infrastructure, or technology solution for an industry such as healthcare or personal finance has critical end-user outcomes. Technology Readiness Levels (TRL) refers to a robust scale often used by pioneering software organizations throughout their development efforts.

PyTorch and TensorFlow are two of the most widely relied-upon frameworks for Deep Learning (DL) research and industry implementation. While both these DL development frameworks haven't been around too long, they have made a significant mark in AI/ML research and innovation.  However, when it comes to which between PyTorch and TensorFlow is the better framework, there has not been a clear consensus.

We are living in an information-driven era. Millions of bytes of data get generated every second, and it becomes more challenging for organizations to keep vital information, software, and operating systems up and running on conventional in-house servers. That’s where cloud computing services come into play. 

Behind the success of any business, there lies a critical element and that is customer service, a vital factor that can make or break an entire enterprise. With everything being digitized in this new era, customers are no more dependent on the brand or company for services. Why? because they have a myriad of options to choose from for a single product or service. And if they aren't satisfied with the experience, they are just a click away from the next available option.

Big data adoption is increasing rapidly across organizations of all sizes. However, the method and distinction between obtaining Business Intelligence (BI) and employing Data Analytics (DA) to make actual business decisions with an impact are getting lost in translation. While both terms are used interchangeably, BI and DA are essentially distinct in many ways.

Personalized marketing campaigns are proven to drive performance and better customer outcomes. A Mckinsey report says that customers expect businesses they buy from to recognize them as individuals and their interests. 

Businesses around the world spend billions of dollars every year on cloud infrastructure services, storage, and computing resources. They can gain an edge over each other with effective cloud infrastructure without any wasteful cloud spending. There are two rising approaches towards cloud cost optimization today that they can choose from; Capital Expenditure (CapEx) and Operational Expenditure (OpEx).

The healthcare systems market has witnessed a large-scale shift towards more patient-centered care models in the recent past. The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) is one of the most reliable ways to measure patient satisfaction which can help digital patient-facing and patient-monitoring doctors' apps meet leading market standards.

Personalized customer experiences are increasingly in demand. Brands must develop relationships with consumers and deliver experiences that go above and beyond and that is where Salesforce can help. To manage the whole customer journey, Salesforce Experience Cloud supports the development of interconnected and personalized digital experiences.

The rapid rise of Artificial Intelligence (AI) and Machine Learning (ML) technologies has led to the growing adoption of TensorFlow, an end-to-end ML platform. TensorFlow enables AI developers to accelerate ML tasks at every step of the workflow but also has certain shortcomings and understanding both sides is very essential to fully leverage this platform. 

An essential component of textual and verbal data is context and understanding the context requires some amount of sentiment analysis. To comprehend and categorize subjective feelings from communications data, Natural Language Processing (NLP) and Machine Learning (ML) methods have been used in the past. Sentiment analysis is frequently used in professional settings to comprehend customer evaluations, identify email spam, etc.

The domain of Artificial Learning (AI) known as Deep Learning (DL) is fast gaining acceptance as a go-to technology for a number of use cases. When it comes to use cases where image data makes up most of the input fed to a system, a DL technique known as semantic segmentation offers accurate implementation outcomes. 

More than ever, marketers realize the importance of tracking metrics to measure the performance of their campaigns. These values give an idea of how aligned the marketing efforts are with the business goals, be it customer experience, acquisition, lifetime value, or brand awareness. 

There are a variety of routes a customer may take to get to the service or product offered by your organization. As a customer embarks on this journey, a sales representative has the task of finding instances to interact with them and find insights about their likes and preferences. An effective customer journey map can give you these insights promptly to forecast your customer's path to your organization.

Custom user services are at the core of the success stories of a majority of internet companies like Netflix, Facebook, and Amazon today. This is why online platforms vying to stay at the pinnacle of their respective sectors need to build effective recommendation systems or recommendation engines.

During the COVID-19 pandemic, we have seen intense pressure on the healthcare management sphere. The chaos that the pandemic brought resulted in many challenges for the healthcare system. Therefore, healthcare providers had no choice but to adjust their methods. Instead of in-person services, remote healthcare delivery was adopted to avoid transmission.

For all types of businesses, be it storefront establishments or online retailers, generating buyer interest is not enough. You need to develop a robust sales funnel to attract visitors first and then ultimately convert them to loyal customers who provide repeat business. There is a series of thought processes that customers go through before they buy a product or avail of a service which constitute a sales funnel.

Quintillion bytes of data get generated in a day, now imagine handling those data manually! Impossible right? It would require immoderate manpower with no surety of accuracy. As we all are aware of the fact that organizations these days run on data and thus it is a vital task to manage and organize it. The data is received from multiple sources and stored at a centralized repository for usage, such as a data warehouse.

With the pandemic at bay, we have witnessed the emergence of digital transformation almost everywhere. Especially, in the IT industry where the organization was still stuck with the legacy system using outdated technology and generating unlimited data but not utilizing it properly. Managing data day in and day out is just not something that immediately derives value to an organization. But, with Data Modernization, it can do wonders for the company. 

The SaaS software development domain is perpetually transforming in terms of environment, orchestration, scaling, and management. One of the most important developments to occur in this field is the introduction of the "run anywhere" paradigm that came with virtual machines, followed by Containers, and further revolutionized by Container-as-a-Service (CaaS) solutions.

With healthcare organizations (HCOs) shifting toward patient-centered care, it is important to consider and measure the factors that impact or influence the quality of care. That is why, HCOs value patient satisfaction, as much as they value patient safety and clinical workflow improvements. 

Dated or legacy tools, systems, and operational methods are not enough to deliver the quality of optimized and innovative financial services that today's digitally savvy customers expect. So, multitudes of financial organizations are leveraging Artificial Intelligence to raise the growth rate and dynamism of IT operations through AIOps.

Nowadays, businesses can produce data analytics based on big data from numerous sources. Once they acquire access to all of the requisite data sources for analytics and business intelligence in order to make better decisions. The transfer of this data is facilitated in a streamlined manner by different data ingestion strategies.

Businesses can save plenty of time and millions of dollars when they use data science to better understand and improve their processes. With the age of the democratization of data, there have been several emerging trends defining enterprise data manipulation and data engineering.  

Artificial Intelligence (AI) and data engineering are closely interlinked. On one hand, making sense of unstructured data is the process known as data science or data engineering. On the other side of the same coin, AI-programmed computers have the ability to learn as they go, getting better at solving particular sorts of problems as they accumulate more data. So one cannot exist without the other.

Machine Learning (ML) is an application of Artificial Intelligence that has the maximum number of use cases, in almost every industry. Healthcare, automobile, marketing, finance, agriculture, retail- all of them are leveraging the power of ML to automate tasks and bring agility to operations. 

Migrating to the cloud is the new normal for businesses of all sizes. Based on availability, compliance, performance, sovereignty, and other technical factors, businesses are making a choice for a relevant cloud services provider. 

In an SDLC, there are several testing frameworks that help to assess if the application is progressing in the right direction. It could be in terms of usability, security, compatibility, performance, integrations, etc.

Speech recognition is a technology that has been going through continuous innovation and improvements for almost half a century. It has led to several successful use cases in the form of voice assistants such as Alexa, Siri, etc., voice biometrics, official transcription software, and the list goes on. So what really is Automatic Speech Recognition and what are the underlying technologies that enable it?

The business landscape of the modern world is heavily customer-centric with marketing, sales, and customer support at the center of operations. Salesforce is the most sought-after Customer Relationship Management (CRM) software intended for these purposes. There are a variety of roles and responsibilities in an enterprise's Salesforce team and the Salesforce Administrator is usually at the helm of it.

Increasingly today, Financial Technology (FinTech) companies have been using mobile devices and applications as promotional platforms. Biometrics technologies are a necessary addition to the FinTech domain and have the critical task of enhancing security through the accurate identification and verification of the customer's identity.

A majority of healthcare data today, about 80% of it, happens to be unstructured. Most sources used for aggregating Electronic Health Records (EHR) require a considerable amount of pre-processing because most of them are not machine-readable. Natural Language Processing (NLP) and various Machine Learning (ML) techniques can, however, unlock all the potential enmeshed in unstructured data.

When it comes to seeking app-based medical solutions, physical health is often given precedence over cognitive or mental health. However, millions of people suffer silently from unseen, yet debilitating effects of mental illnesses. That is the pain area that the creators of the research-backed mental wellness app Wysa have chosen to address. 

Artificial Intelligence, in practice, is complex. There are several technologies and training methodologies involved. There is a high risk involved in algorithm failure. With this,  businesses want nothing but the best of AI practitioners when it comes to executing the use of AI technology. That’s when the Artificial Intelligence (AI) Center of Excellence (CoE) comes into the picture. 

Post-pandemic, the retail sector has witnessed several transformations in the way it works, but the biggest paradigm shift has been the increased adoption of self-checkout systems. These systems give retailers the option of saving costs while enhancing the customer experience so that in-store resources can be better allocated.

Value-based care is the new normal in the healthcare industry.  Healthcare stakeholders- patients, providers, payers, and suppliers are realizing the benefits of value-based care, and adopting it has become their major goal.

Innovative medical interventions that are new to the healthcare industry need to be evaluated through clinical trials before they are rolled out for real-time implementation. The field of clinical trials is going through a paradigm shift with digitalization. And electronic Trial Master File (eTMF) systems are a clinical trial documentation necessity for digitalization.

With a diverse portfolio of 15,00,000 companies, Salesforce has been holding strong in the cloud CRM market. The platform's uniqueness in reporting, visual data presentation, enhanced efficiency with automation, proactive service, etc. is some of the reasons why the CRM holds 20% of the overall market share in the domain. 

Organizations whose bottom line depends on quality software development need a robust methodology in place to assure bug-free product delivery for their clients. They must integrate a means to monitor the productivity and quality of software testing with a standard set of appropriate software testing metrics.

Most software systems of contemporary large-scale businesses function at full capacity as they have to deal with complex computations across distributed system architectures. In these cases, system failures have a high likelihood with the cause of failure remaining largely elusive. Chaos engineering is a field that is finding widespread application as a reliable means to be prepared for such failures in advance.

Vulnerabilities in software applications are common. 85% of security incidents happen at the application layer. With the right security measures, the operations and development team can discover these vulnerabilities and fix them at an early stage in an SDLC. 

Organizations irrespective of industry accumulate data across categories such as purchase history, customer contacts, lead journey statistics, buyer behavior, and so on. The most preferred mechanism to track and leverage this data today is through Customer Relationship Management (CRM) software such as Salesforce CRM. What makes Salesforce a highly viable CRM solution is the suite of low code application development tools it provides.

There are 400 million active websites on the internet and all these websites are susceptible to vulnerabilities of one kind or the other. Even the microscale misconfigurations, such as improper validation, disclosure of server versions, and using vulnerable software libraries can lead to drastic security issues. To avoid the consequences, there is Application Security Testing. 

An organization’s data is its most essential resource and its day-to-day operations produce data in abundance. But to derive actionable insights that help make data-driven decisions, it is important to remove inefficiencies in the way the data is consumed and visualized. Business Intelligence, or BI, is a group of services that empower businesses to leverage their data for driving enterprise excellence.

Salesforce has been knocking its competition in the CRM world. Despite the existence of several industry-specific CRM solutions, Salesforce has been standing strong. One of the prime reasons for its success is its flexible integration services. 

Automation is driving the decline of mundane and repetitive tasks. And this holds absolutely true for a software development cycle.  There is a provision to automate almost every aspect of a software development cycle- coding, testing, and even deployment.

Over the last half-decade, Artificial Intelligence solutions has made incredible advances in pivotal areas such as vision, video generation, linguistic processing, trend prediction, and so on. While AI attempts to make giant leaps toward matching human intelligence, industry insiders forecast the emergence of Artificial General Intelligence (AGI) as the next obvious step.

The global technology ecosystem has an insatiable demand for AI today but without the right training data and efficient AI model development, this domain cannot be utilized to its full potential. With fully actualized AI models that arise from high-quality build lifecycles, continuous innovation in AI fields such as Natural Language Processing (NLP) or predictive analytics can be ensured.

If you’re leading the marketing campaigns of an organization, you could relate to this! The prospect data received from website forms, surveys, web browsing, a list of event attendees, or advertising is not enough to create opportunities and convert a lead. 

Taking a business to a global scale involves navigation, not just through untraversed markets but also across language-based hurdles. Natural Language Processing (NLP) offers the utility of Machine Translation, wherein a source language is converted to a target language automatically with significant accuracy. It is the most viable solution to a fast and effective translation process without human intervention.

Salesforce is the world’s leading CRM with over 150,00 customers that include businesses, non-profits, and institutions. The cloud-based CRM unites sales, marketing, eCommerce, service, IT, etc. under a roof, enabling businesses to drive growth. 

Every business needs to continuously find ways to utilize a workday to make the most of it. So, workflow automation in various business areas is the go-to alternative for a lot of enterprises. The Customer Relationship Management (CRM) workflow for businesses, handled by marketers, customer service executives, and sales reps, also derives cost and time efficiency-related benefits from automation.

In today's advanced competitive world, the most valuable commodity is data. Data has many forms, from pictures of people and places to patient records and banking transactions. Machine Learning is a branch of Artificial Intelligence that can fully leverage this data to learn from it and enhance a business' bottom line.

As a Chief Technology Officer (CTO) of an organization, who is either driving the technology team of a startup or leading IT operations in a megacorp; continuously innovating is the goal.  If you’re leading the software engineering cycle of a product or a software development firm, then the struggle to get answers to the following questions must be constant.

The software development and delivery pipeline of DevOps, also referred to as the CI/CD pipeline, ensures that market-ready software products are released for public use faster. Continuous Testing is a set of evaluation procedures in the DevOps pipeline meant to ensure the product's quality and to enhance the reliability of the outcome.

Today, we are at a point in the software delivery paradigm where most IT enterprises have implemented DevOps in their workflow in some way, shape, or form. DevOps teams are guided by various operating principles, the most prominent of which are Continuous Integration (CI) and Continuous Delivery (CD), or CI/CD.

A modern infrastructure that’s agile, flexible, and scalable is on the mind of every infrastructure & operations (I&O) leader. In a cloud-first and automation world, I&O leaders are introducing new ways to utilize and manage infrastructure. 

For technology organizations, cloud adoption is a go-to strategy for cost reduction, risk mitigation, and a more increased scope of scalability. Enterprise-ready cloud infrastructure highlights the maturity of a company's depth of technological prowess. Therefore, it is important to conduct periodic cloud readiness assessments.

The software development business is witnessing an ever-increasing adoption of various cloud-native methods for deploying applications, and containerization is one of the most sought-after of these methods. This has, however, opened up organizations using containers to potential cyber-attacks and other vulnerabilities, therefore promoting the need for container security. 

Containers have been solving real problems for IT operations teams. They are enabling faster deployment of applications, ease migration to the cloud, maximize scalability, reduce environment variables, improve code reusability, and a lot more. 

In today's competitive business landscape, success is directly affected by the accuracy that goes into your decision-making process. The best business decisions are driven by data aggregated from a vast array of white papers, market research reports, surveys, and domain experience. Augmented analytics is a leading data analytics subdomain emerging in the current market.

Experiencing the ill effects of the pandemic, the healthcare industry encountered a lot of changes. Transitioning with the industry was the way patients were engaged. Healthcare professionals wanted to have a more meaningful and optimal method to onboard patients in their healthcare journey. The focus today is on patient engagement. Why you might ask? 

Daffodil Software, a leading software engineering company based in India, announced that it has been featured in Everest Group’s PEAK Matrix® Assessment 2021. The company is positioned as an ‘Aspirant’ under the Digital Product Engineering Services category. 

As cloud adoption becomes a widely accepted norm amongst organizations, effective management of the cloud infrastructure is now at the forefront. Efficient management of the cloud leads to holistic resource optimization and the option of keeping a close eye on cloud infrastructure spending.

The new norm of practicing DevOps has recorded success in streamlining and improving the deployment cycle. With benefits like automation, faster-time-of market & incident responses, DevOps has had a positive impact on the overall delivery of an application. 

The industry standard amongst IT and cloud computing-based organizations dictate the need for rapid testing, deployment, and scalability of applications. At the moment, the best option at the disposal of these companies is container orchestration. The most popular and sought-after container orchestration tool in the market today is the Azure Kubernetes Service (AKS). 

DevOps introduced a change in the IT culture with the adoption of agile, lean practices for development. It emphasized people, tools, methodologies, and discovered how a balance between the development and operations team could bring a significant shift in a software development cycle. DevOps leverage automation tools to build a dynamic infrastructure. 

Digital transformation and cloud migration were the survival doors for businesses to escape the uncertainty of the COVID-19 pandemic. 

In the Banking, Financial Services, and Insurance (BFSI) sector every single transaction is of significance. Fintech solutions that allows the tracking and management of expenses, revenues, inventories, and personnel must be highly reliable. That is why financial institutions invest in Document Management Systems (DMS) or Enterprise Content Management (ECM) systems as a priority, so as to keep a secure record of each financial event and activity.

The latest innovation in AI, known as deep learning, helps AI models learn from a fairly large dataset of examples. This type of learning, however, does not generalize for conditions that were left out or missed out during the training process. The alternative to this is Transfer Learning, which is extensively witnessing its application in the field of Natural Language Processing (NLP).

The personal financial planning software market is witnessing the entry of a new generation of planning software. While many existing clients of the leading financial advisory firms are reasonably satisfied, there is a need for fintech software solution that helps serve more specific client needs. Incorporating uncertainties and building a robust financial plan are not the only requirements for reliable financial planning software.

Individuals and companies have been changing the way they manage their finances through WealthTech or wealth management technology. A digital ecosystem of finances consisting of technologies such as AI, big data, and SaaS, is governing the global flow of money. The trends surrounding this set of technologies are transforming and being reimagined continuously to meet global changes in financial governance.

The modern tech-savvy consumer has a horde of on-demand utility services available directly on their smartphone. A natural byproduct of the market demand for such services is the app-based money lending app, Brigit. Brigit is a payday loan app on a mission to combat unfair loan lenders who trap borrowers in a vicious cycle of debt.

Aspiring entrepreneurs from third-world countries and underprivileged communities often find it impossible to fund their dreams by applying for loans. This is because of their lack of credit history or sometimes even little to no access to formal financiers. However, fortunately, microlending apps such as Kiva are here to change the state of small businesses in dire need of funding. But how does the US-based online microfinance company Kiva really work?

There is no limit to what technology-led solutions can do for businesses and consumers. That is why organizations are spending a large share of their IT budget on application development. 

The most wholesome and altruistic innovation to come out of the FinTech, or financial technology domain is that of microlending apps and platforms. Micro lending platforms leverage peer-to-peer (P2P) technologies to offer loans to small businesses as well as personal microloans to individuals without a standardized credit history.

The Internet of Things (IoT) sees most of its usage in the domain of asset tracking. Companies can make better decisions about their products if they can keep track of where their precious cargo is and therefore, location-based applications of IoT have always been dominant use cases.  

Every industry and business sector in the world has been making breakthroughs in widespread Artificial Intelligence (AI) implementation. This has been so prevalent that the very landscape of AI has been constantly transforming. The accumulation of so many breakthroughs is ushering in a new stage for AI; referred to popularly as AI 2.0.

Most thought leaders and technology pioneers across industries have been fascinated by how DevOps can transform software development workflows. DevOps can be thought of as an evolution of Agile practices and takes the innovations of the Agile approach forward in creative ways. In the initial stages of embracing Agile, companies must strategize wisely to make the shift.

The various applications of the Internet of Things (IoT) have helped companies across the board to automate processes and improve their bottom line. This technology is doing wonders for the finance sector in improving service delivery, making customer transactions more transparent, and making the overall process of money exchange more efficient. 

The scope of innovation in Artificial Intelligence (AI) is vast and the field of Natural Language Processing (NLP) is setting new benchmarks for it every day. What is redefining the way we approach the completion of tasks through NLP is a novel architecture known as Transformer-based architecture. The dynamic problem solving employed using NLP is enhanced tenfold through this novel architectural model.

The COVID-19 pandemic made us witness drastic changes in the way consumers prefer to pay for products and services, inclining more towards cashless transactions. Digitization is certainly a huge step in making payments a quick and seamless experience for customers. That is why digital payment players out there are leaving no stone unturned in bringing innovative modes of payments for businesses and consumers. 

With evolving technology, almost every business is making efforts to expand, improve the customer experience, and ensure that these customers keep coming back. Retail business is one of them. 

Gurgaon, 19 January 2022: Gurgaon-based software engineering company announced that it has plans to create 500 full-time jobs this year. To keep up with the increasing customer demand and to strengthen their portfolio for diverse technologies, Daffodil has declared a massive number of vacancies at its headquarters in Gurgaon. 

The global public health crisis due to COVID-19 has exposed healthcare workers, especially physicians to physical and mental exhaustion. This state, called burnout, has a pervasive negative effect on all aspects of medical care, which also includes the career satisfaction of healthcare professionals. 

How does one measure the success of an organization in the age of insight and business intelligence? Enterprises today run on a strong foundation built on the clarity and efficiency of the data that they possess. Highly beneficial data analytics that gleans business insights faster is the lifeblood of the data economy and every business' evolution is plainly dependent on analytics.

DataOps is a collection of methodologies that has been taking the data management domain by storm. As we know, DevOps is the natural result of applying lean principles such as broad focus and continuous improvement to application development and delivery. DataOps takes these principles and applies them to data science.

Businesses have some obvious reasons to adopt the cloud and migrate to it. Improved IT operations, infrastructure management, reduced CapEx/OpEx, security & compliance are some of the reasons that ain’t letting the upward trajectory of cloud service adoption slow down. 

A world-renowned bank's CEO was recently quoted as saying that, while there are thousands of manual banks now, the future will see only a handful of digital banks. Along with the rest of the world's critical business sectors, an overwhelming number of banks are also shifting to virtual platforms. This migration is being orchestrated by some of the best DevOps resources that the global FinTech sector has to offer. 

Discussions about the future of cloud implementation always involve the building and operating of DevOps platforms in cloud-native environments, which is also known as CloudOps. However, the proper know-how to fully grasp the long-term impact, challenges, and solutions of this technology are quite limited in the software industry.

The smart customer of today needs convenient and safer ways to access, spend, save, and invest money. That is why banks are trying to go the extra mile for an improved customer experience. ATM machines, card payments, mobile banking, etc. exemplify how the banking sector is continuously evolving and believing in technological advancements like never before. 

Efficient customer communication is the basis for gaining the trust of a loyal customer base for any business. While data science-backed approaches in customer service and retention have massive benefits, attention must be paid to the quality of customer communication. Cloud-based solutions and AI must be leveraged for more promising customer communications.

An overwhelming number of leading banking organizations have been adopting conversational AI to improve customer service and end-user experience. This has been especially evident in the retail banking sector where there is no shortage of competitors. Valuable customer analytics and 24/7 support are some of the benefits that conversational AI offers.

Organizations depend heavily on customer data for predicting sales trends and coming up with strategies for successful sales campaigns. Maintaining healthy customer data is a high-priority requirement for a flawless revenue stream for any company. Customer data is arguably one of the most valuable global resources today.

Every industry & organization is transforming itself digitally. In this process, they are taking their existing, offline userbase to an online platform. The best part is, these online platforms can capacitate as many users as a business want. But, there is a catch.

Traditional financial institutions still rely on manual tracking when it comes to the vendor management component of their workflow. They make use of spreadsheets, email, and shared files on online drives instead of a dedicated vendor management platform. A common misconception in the financial industry is that investing in a Vendor Management System (VMS) is more expensive than manual processes.

Chief revenue officers of big brands often are tasked with finding the right balance between short-term revenue pursuits and long-term brand equity building. The emergence of advanced marketing analytics and Big Data is making this job much more challenging. As data is becoming more voluminous and yet more precise, what are the challenges it poses to brand equity?

Most industries advancing their digital transformation are increasingly relying on Quality Assurance (QA) and testing. The banking sector is taking a cue from several industries' digital roadmaps to maximize their prosperity from technology adoption. At the end of the day, quality-assured digital banking services help meet the expectations of technologically equipped customers.

Today's tech-savvy patients are using smartphone apps to access their medical records, view lab results, and scheduling doctor's appointments. There is an ever-increasing onslaught of users on such apps. Therefore, several healthcare providers are turning to data analytics in the cloud to better manage activity on patient-side apps.

Gurgaon, 30 November 2021: Daffodil Software, a leading software engineering company based in India, announced that it has made it to the finals of the European Software Testing Awards under the category of- Cognizant Best Use of Technology in a Project. 

For the FinTech sector, the pandemic-riddled 2020 and 2021 had been majorly about handling the many hurdles of digital transformation. 2022 is looking like the year when businesses will stabilize and get back to business as usual after swapping their systems to digital platforms. 

Healthcare platforms are under constant threat from cyberattacks, putting patient safety at risk. This is why C-suite stakeholders, Chief Information Officers (CIO), and senior leaders of healthcare outfits need to stop viewing cybersecurity as a purely technical issue. Patient information security, enterprise integrity, and strategic priorities are all reliant on cybersecurity.

Gurgaon, 23 November 2021: Daffodil Software, a leading software engineering company based in India, today announced that, for the 2nd consecutive year, it is a Great Place to Work-CertifiedTM. 

The banks of today are witnessing sweeping changes at an unprecedented pace. Changing consumer expectations, new technology innovations, and unconventional business models are driving these changes in the banking sector. Banking officers operating in the technological sphere are realizing the potential of cloud banking to help them cope with these modernizations.

The FinTech domain has recently become an integral component of banks and Financial Institutions (FI). FI-FinTech collaborations are especially crucial in handling the vast and ever-increasing burden of regulations in the financial sector. Regulatory changes are being rolled out at a staggering rate in the finance sector. This has driven FI stakeholders to turn to niche technology solutions collectively known as Regulatory Technology (RegTech). 

There has been a steep rise in the demand for Emergency Medical Services (EMS) apps and platforms that ensure smooth patient hand-off. The transitioning of patient care from the prehospital team to the Emergency Department (ED) doctors and nurses is the most pivotal aspect of these platforms. 

Log analysis is an integral part of any software development lifecycle's ultimate success. Developers and engineers use logs to assess what is happening at every layer of a software system and track down the root cause of issues. As the software development process produces a large amount of distributed log data, it is often difficult to analyze it all sufficiently.

“It’s art if it can’t be explained. It’s fashion if no one asks for an explanation. It’s design if it doesn’t need explanation.” If we go by the words of Wouter Stokkel, then a great design is one that speaks for itself. ‘Aesthetic, understandable, usable, and sustainable.’ 

Today, Artificial Intelligence (AI) has found a significant place in our lives and across a broad range of industries and businesses. But most of us, including industry stakeholders, have a very vague understanding of how AI systems make the decisions that they do. That is where Explainable AI (XAI) comes in handy, producing transparent and detailed explanations for the way AI functions.

Frameworks are proven to be advantageous to developers. They improve efficiency, reduce time-to-market, and introduce diversity in development. 

Grubhub is an online food delivery marketplace that connects over 33 million diners with their favorite food from local restaurants. The platform features more than 300,000 restaurant partners in over 4,000 U.S cities. 

Healthcare organizations looking to optimize patient outcomes are increasingly adopting Electronic Medical Records (EMR) software. In fact, EMR is now virtually an integral part of healthcare and a widely agreed-upon standard. Taking full advantage of this technology requires proper EMR integrations with third-party ancillary platforms and systems.

The impact of the various applications of AI in automation testing is well known. Moreover, AI is widely accepted as an essential accompaniment for the seamless delivery of any software product these days.

Did you ever realize this? The eCommerce app that you generally shop from offers a seamless experience. But when you shop from the same app during a sale, it crashes very often. This happens because the app server is not prepared to handle a load of concurrent users on the server. 

 A strategic user experience has the potential to raise conversion rates by as much as 400%. That’s the power of a great UI/UX. UI/UX has an immense contribution in making or breaking a business. That is why designers pay attention to every detail associated with the app design and craft them using the most innovative and human-centered approach.

Gurgaon, 21 September 2021: Daffodil Software, a leading software engineering company based in India, today announced that it has won the Stevie award at the 18th International Business Awards®. It bagged silver under the ‘Company of the year-computer software-large’ category.

Businesses often need to analyze highly subjective data such as customer feedback, reviews, and recommendations to aid in their brand decision-making. But simply automating data analysis leads to the nuances of this data being overlooked. Sentiment analysis with Machine Learning (ML) models provides a more comprehensive solution to this problem.

User experience (UX) designers rely on a variety of research methods and analytics to understand what the end-user prefers in the design of a software solution or product. Ethnographic research is a tool with great potential that UX designers are finding to be extremely insightful in discovering user preferences and pain points regarding product design & development.

Most UI developers have traditionally relied on popular Javascript frameworks like Angular and React for building single-page applications. However, Blazor, a 2018 launched framework is creating a lot of buzz in the UI development market. It allows writing  client-side processes using C# and is slowly gathering mainstream interest.

Automotive brands need to make their customer journey more personalized and innovative to maintain a competitive edge in the market. Artificial Intelligence (AI)-based chatbots have become the go-to technological innovation for these brands to make the end-user experience a notch above the rest.

According to popular UX statistics, people form their judgment on a website’s credibility purely on its aesthetics. In fact, 88% of the users are unlikely to get back to a website or any digital platform after a bad user experience.

Referring to some of the most pivotal technologies as mere buzzwords is a disservice to innovation. The Internet of Things (IoT) is one such domain of technologies most people tend to refer to, without fully understanding its nuances or its technical aspects.

Artificial Intelligence is resolving real-world, complex challenges at scale. With its transformative capabilities, AI has managed to enter some of the sensitive areas including healthcare, finance, cyber security, etc.

When handling voluminous data that is highly sensitive, it is always preferable to group it into categories or classes. That is primarily where classification algorithms make themselves useful. Classification algorithms are one of the most widely implemented classes of supervised machine learning algorithms.

The exponential growth and development that AI technology has showcased in the past two decades have brought several science fiction movies into reality. Statistics suggest that the global AI market is predicted to reach $190 billion by 2025. The overall market includes a wide array of AI applications including Natural Language Processing, Machine Learning, Conversational AI, Robotic Process Automation, Neural Networking, etc. | Source: Statista

The average long-distance traveler cites congestion as the primary hindrance to their travel plan. With advancements in technology, the decision-making process that guides route planning has become much more streamlined. Artificial Intelligence (AI) backed route optimization systems give travelers the shortest and most congestion-free routes upon user request.

Out of all the stages of the supply chain, logistics deals with the most unpredictable issues. These include factors like weather patterns, fuel prices, and last-mile delivery charges. The gradual adoption of demand forecasting with Artificial Intelligence (AI) is helping the logistics sector to alleviate some of these uncertainties.

When the COVID-19 pandemic hit the world, most of the businesses were unprepared to deal with its consequences. The unexpected shift made them think of ideas that can help them sustain themselves in the competitive market and retain their customers.

Learning is defined as the adaptive intelligent change in response to experience. In humans, it refers to the continuous process of acquiring new skills, values, knowledge, attitude, and preferences based on past experiences. This lifelong exercise in humans is called cognitive learning.

Cloud computing has enabled primary stakeholders in software development to deploy a broad set of resources and services for on-demand usage. Based on scalability, cost, performance, efficiency, and security these stakeholders can choose from a variety of deployment models for making these resources available over the cloud.

Smart homes, wearables, automated cars are some of the popular concepts that introduced the world with the IoT technology and its potential applications. The continued growth of this technology and its use case realization has created a global IoT market of $389 billion, which is forecasted to reach $1 trillion in 2030 (according to Statista). 

Technological advancements and innovations are helping organizations to cope up with the disruption caused by the outbreak of the global pandemic. The IoT industry is no exception.

What is IoT? The Internet of Things (IoT) refers to a network of digital devices over the internet that use embedded sensors to transmit user data between them and the cloud. More popularly known for their application in "smart homes", the purpose of these interconnected systems is to make life easier with devices that communicate independently and respond to human stimuli.

The accelerated adoption of digital solutions in the healthcare industry has resulted in satisfaction, accessibility, and cost-effectiveness in the care system. PHI maintenance over the care continuum, improved patient engagement, streamlined administrative operations, better claim management, early disease diagnosis are some of the advantages that healthcare digitization brings along. 

Machines have historically aided humans to maneuver several challenging tasks all through the dark ages and the industrial revolution. A decade after the Enigma machine helped the Allies win World War II,  its inventor Alan Turing posed the one question that expanded our horizons for innovation - Can machines think?

Amidst the social-distancing norms of the COVID-19 pandemic, it has become more crucial than ever to come up with innovations in remote patient care. It is no wonder that big tech conglomerates like Amazon and Microsoft are pouring capital into digital healthcare investment, with a special focus on Remote Patient Monitoring (RPM). 

Sworkit is a digital health and fitness company based in Bethesda, Maryland. Founded in 2012, it provides customizable workout plans and resources that allow people to adopt and maintain a healthy lifestyle. Their workout offerings are a combination of strength, cardio, yoga, and stretching with some tough nutrition challenges to help people stay fit. The Sworkit app has 10 million registered users with an average rating of 4.5 on iOS and Google Play stores. As of May 2021, the fitness company has worldwide revenue of $90K. 

Hospital-based healthcare services are not always viable when it comes to people with special health conditions or geriatric care. Issues with traveling come in the way of healthcare for this class of citizens. Additionally, lengthy hospital stays are reported to cause deterioration in certain medical conditions, especially autoimmune ailments. 

The lack of information prioritization in the current healthcare climate has put strict limits on the care that clinicians can provide. To resolve this, innovators of Electronic Health Record (EHR) systems must introduce ways to plan for a patient's health management. This blog discusses how EHR's capabilities can be optimized and extended to make this move.

Biotech and pharmaceutical companies are required to comply with regulations enforced by the US Food and Drug Administration (FDA). Among these regulations is the Current Good Manufacturing Practice (CGMP) which governs the quality control of not just manufacturing practices and facilities but also the technology components of the drug production process.

Telemedicine can simply be defined as online healthcare and diagnosis through apps and videoconferencing. It is lately becoming a widely accepted alternative to physical patient-doctor consultation. Global attention towards providing sustainable telemedicine services has exploded. This has especially been witnessed throughout the accessibility struggles faced during the COVID-19 crisis. 

It’s been more than a decade that DevOps as a practice has been bridging the gap between the development and operations teams. It’s breaking down the silos between the two and automating the delivery cycle. Just like we implement DevOps to the delivery pipeline (to deal with the varying development environment), it is time that we start doing the same for databases.

Finance industry processes are becoming more foolproof and efficient due to automation. There is plenty of evidence to showcase the growing impact of Machine Learning (ML) and its wide acceptance across various use cases in capital markets.

Technology is spreading its wings to provide a profusion of opportunities. We have millions of smart, interconnected devices and complex systems that are enabling us to do much more than human potentiality. But the hard fact is, these systems are not foolproof and highly vulnerable to cyber-attacks. 

The COVID-19 pandemic has put tremendous pressure on the healthcare system, globally. Hospitals have experienced a surge in the volume of patients. The hospital staff has been asked to perform roles they were unfamiliar with. Many hospitals even stopped elective procedures and consultations to ensure that COVID-affected patients are attended well. 

A lot of people, especially women, take a break from their careers due to different reasons. After a long break, there is a high probability of women who might doubt if they should get back to their careers or continue with their lives.

Machine Learning (ML) is one of the most versatile technologies of Artificial Intelligence (AI). The healthIT sector has realized the importance of ML in the prediction, management, and treatment of various health issues. These days, researchers are coming up with some innovative ways in which machine learning is improving the quality of patient care.

The worldwide public cloud services market is expected to be valued at $304.9 million by 2021. Businesses are going to increase their spending on the public cloud with SaaS, LaaS, DaaS, and IaaS services in the mainstream. 

Almost every industry experienced a downfall during the COVID-19 pandemic. At worse, some businesses were even shut down. However, some thrived during the tough times and kept booming to date.

It was the 1950s' when Alan Turing conceptualized Artificial Intelligence. Nobody would have imagined the vast array of applications that this technology could offer. He formed the mathematical & logical reasoning behind the concept of machines and computers replicating human intelligence, which today has outgrown to even replace humans for certain tasks. 

Software development is the biggest trend in the IT industry. Digital transformation, software modernization, cloud computing are some of the sought-after practices to prepare businesses for the current and post-COVID scenario.

Where there is a necessity, there is an invention. When the F&B (food and beverages) industry saw a downfall, it looked out for ways to rise above the COVID-19 pandemic. Some of the innovative concepts such as contactless dining, DIY meal kits, cloud kitchen, etc. have been enabling F&B players to sustain their business & recover losses. 

The COVID-19 pandemic has taught us to deal with uncertainties. It made us realize the power of digitization and unveiled ways for sustainable recovery from the losses. 

Modern technology adoption is at its peak nowadays. Businesses are investing in Artificial Intelligence (AI), the Internet of Things (IoT), Public Cloud services like never before. These technologies are a great help to overcome the consequences of the COVID-19 pandemic, smoothen the existing processes, and build a roadmap to digital transformation. 

COVID-19 pandemic grievously affected businesses in 2020. Unfortunately, the situation has worsened in 2021. Businesses, thus, are taking the road to digitization to minimize the impact of the pandemic.

On-time, accessible, and cost-effective care delivery has been an overextended issue in the healthcare industry. The situation became extremely daunting amid the COVID-19 pandemic.  

Enterprises are realizing the importance of cloud infrastructure, like never before. They are leveraging the best of all cloud providers to optimize cost, performance, monitoring, and disaster management. That is why multi-cloud platforms are a great hit amongst the IT team of enterprises (of all levels). 

When the COVID pandemic hit the world, nobody could gauge the magnitude of devastation it would cause businesses. Amongst the various sectors that were grossly affected by COVID-19 was Food & Beverage. The global lockdown resulted in the shutdown of restaurants and other eateries, which consequently gave rise to new foodpreneurs and viable concepts that could let the people enjoy their favorite delicacies at home. One such concept is ‘Cloud Kitchen’ and experts could foresee it as the future of the food industry.

Gurgaon, 14th April 2021: Daffodil Software, a leading software engineering company based in India, today announced its debut in the Everest Group PEAK Matrix Assessment 2021. The company is positioned amongst the renowned names under the Software Engineering Services category.

Public cloud computing is one of the fastest-growing segments of IT spend. With this, the CIOs have got a major responsibility of investing the budgets wisely. Availability, data sovereignty, performance, regulatory compliance are some of the factors that are strictly considered while choosing a cloud provider and investing in its services. 

Cloud cost optimization in simple terms is attaining the proper balance between performance and cost and then maintaining it. It is the process of decreasing overall cloud spend by distinguishing mismanaged resources, discarding waste, holding capacity for higher discounts, and right-sizing computing services to sales. 

Public cloud services and their on-demand, scalable models are enabling organizations to achieve cost-efficiency and business continuity. With public cloud being the ‘new normal’, organizations are improving their digital transformation plans. 

“96% of acute care hospitals in the United States use a certified EHR platform by HHS.” Electronic Health Records (EHR) promote continuity of care, simplify patient data collection, and decrease overhead costs. In addition to this, EHR platforms have helped care providers to reduce mortality rates for chronically ill patients.

In response to the COVID-19 pandemic, healthcare providers turned up to digital innovations such as the enablement of remote monitoring, virtual consultations, e-visits, etc. While these tech-health options (also known as telehealth) proved to be a great support during the pandemic times, the old-school, in-person visits & consultation remained indispensable. That is why hybrid telehealth is gaining ground in the healthcare industry. 

CMMI (Capability Maturity Model Integration) is a process and behavioural model that assists organizations to streamline their processes efficiently and encourage productivity, promote efficient behaviour to decrease risk in software, product and service development. 

The COVID-19 pandemic accelerated the digitization of business processes. While numerous tools supported rapid digitization, it somewhere impacted security, observability, traceability, and compliance of the digital solutions.

By 2024, low-code will be responsible for 65% of application development activities, according to Gartner. The pressure to deliver digital solutions in response to the COVID-19 pandemic has accelerated its adoption.

  Being on the cloud comes with a cost. And as more and more organizations switch to the cloud, there arises a need to have a mechanism to control the rising cloud costs.    Most IT departments tend to disregard the fact that cloud resources are metered which often leads to a spike in data fee. To this end, companies need to hire a cloud economist.

Ordering food has come a long way from having to call our nearby restaurant to now selecting from a wide range of menus, cuisines, restaurants all at the best pricing thanks to food apps. And the ones who make it all possible are the on-demand food delivery service providers. One such is of course, DoorDash, probably one of the biggest names around today.

It’s crucial to know how MIPS (Merit-based Incentive Payment System) can benefit medical professionals and practitioners. MIPS participation can help the eligible clinicians in their practice as well as payment adjustments. The question is, how though? Let’s learn how MIPS can benefit you and what are the four categories on which you are assessed as a clinician.

The healthcare industry has seen a drastic shift from paper to digital in the recent past. Several hospitals, clinics, healthcare practitioner’s offices, and facilities are increasingly switching to storing and maintaining patient medical records digitally.

There has been an incredible progression and development in the domain of QA testing with the recent patterns getting introduced in the industry. The introduction of these creative advancements led to new updates in the software testing, development, design and delivery scenario.

Many working professionals reach a stage or come across an event in their life when they decide to take a career break. Unfortunately, our culture is such wherein the majority of that working population is women. One of the most common reasons for women taking a career break is childbirth but there can also be other personal reasons which requires you to take a break in your professional journey. As an organisation, we have decided to remove the stigma of a career break by launching our #breakthebreak program. People go through a complete metamorphosis not only while taking a sabbatical but also while walking back into corporate life again.

In a rapidly changing software-driven scenario, businesses need to switch to Cloud-native application development. And subsequently, comes the need for testing in a cloud-native environment.

The two most prominent ways to deploy your applications to the Microsoft Azure cloud are: Azure App services and Cloud services while Service Fabric is a container orchestrator for deploying microservices across machines.

Have you ever thought about what will happen if our smartphones, tablets, and computers acquired the ability to sense our emotions? Imagine a world where machines can identify us, feel our presence, and interact with us the way we interact with each other. A world where machines can judge what we are feeling based on our facial expressions, hand gestures, eye movement, and our voice tone while speaking. All these things will soon be a part of the world we are living in and will be achieved with the help of Blue Eyes technology.

February 17, Gurugram: Daffodil Software, a leading custom software engineering company, today announced that it has been appraised at level 3 of the CMMI Institute’s Capability Maturity Model Integration (CMMI)®.

We are all aware of chatbots and how they interact with us. And we all have invariably wished if only they were more human-like.  Admit it, it is pesky to be interacting with a bot especially when it fails to understand your core issues. That’s when you wish if only you were talking to a human than a virtual assistant.

2020 changed life as we knew it. And along with it came the adaptability and emerging trends in several areas of life. The medical world is one of them. Digital Health and Virtual Care evolved from mere convenience to an absolute necessity over the last few months

Distributed Cloud is being hailed as the next generation of Cloud Computing.  Shifting to a cloud is beneficial to businesses. But which model is the most suitable for your organization takes some thought.

It was 31st December when WHO’s Country Office in the People’s Republic of China got the news from a media statement by Wuhan Municipal Health Commission, of a case of “viral pneumonia” in Wuhan, capital of Central China’s Hubei province. What seemed to be a “viral pneumonia”, after detailed studies were coined as a novel coronavirus, thus marking the inception of the COVID-19 pandemic.  

In this day and age, creating a mobile app with a good user experience is no longer optional. If you want your app to succeed and your business to thrive, it’s important to optimize it to near-perfect levels. This will not only determine how many users visit your mobile app but will define their entire customer journey. Given this information, it’s necessary for you to know what trends to watch out for in 2021 so you can invest the proper time and energy into updating your app accordingly. 

Cloud service wars in a serverless architecture are not new. Serverless computing is a software design platform that hosts applications through third-party service doing away with the need for server management by the developer.

What is RPA Testing? And how is it different from Test Automation? Is RPA better than test automation in scope and scale? Let’s find out.

Gurugram, 18 January 2021: The software solutions company – Daffodil Software bagged the award for the Best Financial Services Mobile Application at the recently held annual Mobile Web Awards organized by the Web Marketing Association.

Salesforce data migration invariably poses a challenge for any Salesforce professional. It calls for more than just shifting of data from one system or platform to the other. Without a plan and proper know-how of the system, it will either result in more time than required to transfer data or even repeating the entire process.

Reading, analyzing, interpreting, and gaining insights from data is crucial for every business. And almost every stakeholder involved needs to understand it to better assess and rethink and reevaluate their processes. Now, this need to process data has led to data democratization so that even the non-technical teams find it easy to interpret the same.

To understand event-driven automation we first need to define what is an event? As per the Information Technology Infrastructure Library (ITIL), an event is a change of state that holds importance for the management of an IT service or other Configuration Item (CI).

The year that it was! While 2020 may have taught us many things – our relationship with technology – was altered forever and how.  Call it the new normal or wishful sundry names, digital dependency and increased screen time led to newer innovation and technological advancements.

A CPQ takes your sales process capabilities a notch further giving you that extra edge over your customers. How? Read below.  What is CPQ? CPQ stands for configure, price and quote and is a tool that lets you configure products, avail pricing, and discounts, and get approvals from the built-in programs. It is a tool that lets you generate quotes for orders.

Gurugram, 29 December 2020: The leading software solutions company – Daffodil Software announced the launch of ‘Work from Anywhere’ job opportunities with plans to recruit remote employees in technical roles. The company plans to run the hiring drive across India boosting its remote work culture.

Gurugram, 23 December 2020: Gurugram-based software services company – Daffodil Software has made it to the prestigious Zinnov Zones ER&D 2020 Ratings. The leading global management and strategy consulting firm, Zinnov conducts the annual rating – Zinnov Zones for global technology service providers – that assesses these companies on their competence and scalability across ER&D, IoT, Digital Services, and more.

The year 2020 pushed the world to a technological revolution. The digital ecosystem proved to be a gamechanger. The pandemic changed our lives, work culture, and gave birth to new trends and innovations.

Healthcare professionals (HCPS) ran on a hectic schedule this year. But what made their job easy was health technology. Several tools and products helped clinicians and doctors to expedite care to patients and make a quick diagnosis through virtual care or otherwise.

Deciding on the platform that optimally serves your customers’ needs is a tough choice to make. Before we make a comparison between Salesforce Commerce Cloud and SAP Commerce Cloud let’s first understand what they are.

The year 2019 prepared us for the digital transformation.  We now know how important digital readiness is for the continuation of work and life as we know it.  Businesses realized the significance of the requisite infrastructure that supports remote working without hampering the workflow.

A penetration test also called the pen test is a mock attack on the security system to assess potential risks and vulnerabilities. It is commonly done to boost the web application firewall (WAF).

A good CRM is not only important for business growth.  It is essentially important in building long-lasting, sustainable relationships with your customers.  Because hey, if your customers are happy, your business is bound to grow. Right?

Businesses need to innovate to match rapidly changing consumer behavior and expectations. To this end, software development practices are also continuously evolving. MACH software architecture is one of the many such practices that has evolved over the years to meet the changing business needs.

To protect something, identifying and understanding the threats to it is crucial.  Threat Modeling does just that.  Be it software, networks, applications, distributed systems – threat modeling can be used across technologies and products barring a few.

The software services company to go on a hiring spree in a pandemic-hit economy 

So, how does Salesforce Health cloud work with EMR data?  Salesforce Health cloud provides a 360-degree view of a patient’s history to the practitioners and other stakeholders in the healthcare industry.

Keeping employees happy and engaged is a challenge that every HR goes through. And for all the right reasons.  Happy employees equate to employee loyalty and productivity.  The more engaged your employees are the better they can contribute to your company’s growth.

Every organization needs an effective Human Resource Management Software (HRMS) to function optimally.  What happens when you don’t have one? Or when you are using software that doesn’t meet the demands of your organization? Higher costs, mismanagement of daily tasks, and struggling HR executives.

According to a 2019 report by the State of Service, about 93% of customers still prefer service via phone. Undoubtedly, phone calls are a clear winner in customer service.  Even in the digital age with several channels of communication at disposal, customers still choose to call to resolve their issues.

What do employees look for the most while hunting for a job? Flexibility!  As per statistics, the US saw a 159% growth in the number of remote workers in the last 12 years. With more employees choosing to go remote, working from home is not a mere incentive but a necessity.

Before ATS and HRIS integration, let’s look at what is what. While HRIS is targeted towards current employees, ATS is meant for candidates who may become employees. So it might seem obvious that these two systems should exist independently from each other.

Workflow and Process Builder are Salesforce business process automation tools.  While Workflow has been there for a while, Process Builder is a newer and more powerful tool capable of more complex tasks.

The health industry has benefitted exponentially since the introduction of Electronic Health Records (EHR). Of course, the actual boon was seen in the patient care and treatment but EHR use doesn’t stop at just that.

The right Applicant Tracking System or ATS can be unimaginably beneficial to your HR department. It eases the hiring process thereby saving your time and improving overall efficiency.

The term integration is used so many times in so many ways that sometimes it loses its original essence.  What is integration after all? It’s nothing but a solution for effective data syncing. It’s making sure that information is available wherever and whenever it’s required. HRIS integration means connecting and sharing data among different HR functions such as recruitment, payroll, and performance.

One of the smartest and most intelligent Customer Relationship Management (CRM) applications available right now is Salesforce Lightning. From enhancing the efficiency and productivity of sales reps to changing the way businesses sell – Lightning is the game-changer.

When you encounter the term Human Capital Management (HCM) you probably think it is just another offshoot of HR software but HCM has a gamut of advantages that makes it a must for your organization.

Your organization probably keeps paper files, uses multiple Excel sheets or a combination of both to manage various HR-related information. It can be time-consuming and difficult even for a small organization. As time progresses and your organization scales up, such a system would almost be unmanageable.

In the past few years, we have seen an explosion in cloud-based software for all business needs. Companies like Salesforce provided incredible value to their customers through their cloud software and Software as a Service (SaaS) model.

If you are dealing with a mammoth amount of data and need latency-free operations, AWS Outposts can fulfill most of your needs. It is one of the fastest-growing innovations and complements the implementation of emerging technologies like A.I. and machine learning.

While it might seem difficult to decide between the Sales Cloud and Service cloud, taking a deeper look at the features offered by each of them will help you pick the product that best suits your needs.

A good Customer Relationship Management (CRM) system can take your business to new heights.  And as per research by Gartner, the Worldwide customer experience and relationship management software market grew by 15.6 percent in 2018.

The most effective HR practices are the ones where the focus is on company-employee engagement and building a symbiotic relationship that is conducive to both.

With remote jobs and gig economy on the rise, it only makes sense for businesses to go for Offshore Development Centre now more than ever. A report by Statista shows the outsourcing market in the US in 2020 stands at $132.9 billion and is only going to grow by 1.6 percent this year alone.

Counted as among the top healthcare CRMs by the Healthcare IT and Insights company, KLAS, Salesforce Healthcare Cloud services are here to transform the patient-provider relationship. The cloud pushes healthcare providers to acknowledge patients as customers and value their decisions.

Converting prospects into customers­ – the ultimate goal of closing more sales – depends on how you prospect your customers. Are you doing it any differently? By differently we mean using automation to nudge your prospect to take the next step in the journey. If yes, it’s great if not then read on.

The world saw a rise in telehealth in the wake of the Coronavirus pandemic. The COVID-19 outbreak not only shaped how we approach health amidst social distancing and lockdowns but pushed health service providers to realign their set-ups for the growing virtual care solutions. 

Fervently focused on delivery - the pharmacy industry on its constant hunt for a breakthrough has hit the spot with automation.  An arrow in the quiver, pharmacy automation has made juggling the rising demand for cutting-edge products, and exceeding competition easy for pharmacists, clinicians, and even pharmaceutical companies.

Rackspace and Amazon Web Services (AWS) are the two most popular cloud hosting companies. Rackspace, founded in 1998, offers computing services such as virtual servers, cloud storage, and managed services. AWS came into existence much later in 2006 with services such as infrastructure facilities, server-less computing, and hosted Kubernetes to offer. 

“The predictions that we’d have paperless offices were right, just premature by several decades,” ascertained Bill Gates long back which runs true across organizations today. Businesses have realized that paper is a cost-intensive and inefficient way to manage data.

In a ceaseless effort to drive efficiency and better employee management, organizations often pursue tasks that might just be spreading themselves too thin. This may impact the overall output quality and result in possible high costs.

Companies bear huge costs on buying or paying a subscription fee for Human Resource Management software. And it’s no surprise that most of these tools don’t live up to the expectations.

Planning to pay a visit to your doctor but can’t for some reason or the other? You’re not alone. Why not schedule an online doctor appointment instead? Try Teladoc to discuss a non-emergency medical condition with a physician anytime, anywhere from the comfort of your home or office.

The concept of DevOps is now popular owing to its importance in a cloud-based environment that involves automation for the testing and deployment of software builds. When development and operations teams are not able to communicate well with

The current trend of the IT industry is based on the principle of automation. This isn’t just hype because the marvelous effects of automating various tasks are widely known by now. Planning out the budget effectively and reducing maintenance costs are some of the deemed automation outcomes. 

The pandemic has shown us the significance of digital readiness, which will enable business and our lives to continue as usual during the pandemic. Building the required infrastructure to sustain a digitized world and stay ahead of the curve with the latest technology will be essential for any business or country to remain competitive in a post-COVID-19 era. 

Envisioning 5G leads me to catchphrases such as speed, low latency, ubiquitous coverage and massive capacity of the Verizon 5G Ultra Wideband network. Sounds amazing, doesn't it? Now imagine compiling this futuristic cellular technology with the astute capabilities of IoT. Sounds even better. 

The trend of digital health technology is on an upward curve presently and will remain so in the decade to come. It is estimated to exceed over $379 billion by 2024. This colossal growth will fuel the need to integrate these latest technologies into the EHR (Electronic Health Record) for any health system. EHR integration enables us to leverage data and insights from digital health tools providing important information, alerts and opportunities including the financial and operational guidance at the point of care. 

As per the Deloitte Insights, funding for health-tech developers exceeded US$7.4 billion in 2019, and the funding data shows that investors continue to be optimistic about investing in the health-tech field. In 2018, digital health organizations had secured more than $7.5bn in investment, according to Forbes. 

Humans have exceptional power for image recognition. High-level image understanding, contextual knowledge, and the ability for parallel processing are some of the factors that contribute to precise recognition of objects, places, people, writing, and actions. However, humans develop these abilities over time and have a limitation as well. When it comes to recognizing images from a large set of data, human processing power might fail.

IT world is full of various terminologies that are often related to each other. When it comes to digital transformation, DevOps and CloudOps are often touted as two essential ingredients to get much needed competitive advantage and offer differentiated services.

COVID-19 pandemic has marked a downfall for several businesses and individual lives globally. Finance, retail, hospitality, travel are some of the industries that have been drastically impacted by the coronavirus outbreak. Moreover, the measures taken to prevent the spread of infection- lockdown and social distancing put the primary livelihood at a halt.

Even in this dynamic and rapidly evolving digital world, JavaScript has withstood the test of time and is here to last for long. Due to its efficiency and flexibility, it can be deployed both on the server-side and the client-side, and can be used for developing mobile and web applications. No doubt, it is one of the widely accepted programming languages.

Machine Learning is one of the proficient technologies that we have for pattern recognition, data mining, statistical analysis on large volumes of data. It’s enabling machines to recognize intricate patterns and make intelligent decisions, without human intervention. In order to achieve this, the ML technology is accompanied by neural networks.

The human brain has got tremendous potential. On an everyday basis, it performs hundreds and thousands of tasks- such as recognizing faces, learning from experiences, memorizing facts, identifying objects, understanding words & languages, recognize intent & sentiments, and more. There are billions of neurons in the brain that network together to accomplish these tasks.

The COVID-19 pandemic has made healthcare providers realize the importance of digital solutions, more than ever. The providers are continuously struggling to reduce the burdens & risks associated with travel to clinics, hospitals, labs, or other healthcare organizations. Moreover, caregivers have to ensure the delivery of value-based care to patients in their home environments. The insurance reimbursements need to be streamlined. As a consequence of this demand, the digital healthcare market is projected to reach $500 billion by 2025.

In 2011, Xamarin—a software company now owned by Microsoft—created a framework for hybrid mobile applications with C#. What made this new framework differentiate itself from others is its simplicity in creating a single code base that works across multiple platforms. After this, many frameworks have been introduced on the market, including Ionic, ReactJS, React Native, and many more.

The public cloud computing market size is expected to reach $354 billion by 2022. This includes business processes, platforms, software, infrastructure, management, security, and almost everything that a cloud service provider delivers.

The COVID-19 pandemic is driving the healthcare system to the limit. The rapid rise in the demand for healthcare facilities and providers has burdened the system, making it unable to operate with absolute efficiency.

Bill Gates was quoted as saying- “How you gather, manage, and use information will determine whether you win or lose.”  If we relate to his words with regards to customer information, then it can be rightly said that a Customer Relationship Management (CRM) solution is the key to win or lose a customer.

In effect to the COVID-19 pandemic, remote services have become the new normal. That is why, telemedicine, the practice of providing care to the patients remotely has been gaining ground in the healthcare industry. During the challenging times of pandemic, telemedicine services are a go-to option for safe consultation sessions. 

Corporate training is an absolute necessity for businesses today. It is known to significantly improve net income per employee for businesses, along with productivity, morale, and retention of employees. As a result of the benefits that corporate training and development programs offer, Learning Management Systems (LMS) are gaining ground with the global LMS market expected to reach $19 billion by 2022.

The COVID-19 pandemic has affected over 9 million lives worldwide. The virus infection is disseminating like wildfire, putting pressure on the global economy and marking a downfall of various businesses. 

Today, entertainment is no longer confined to appointment viewing on TV. The video streaming marketplace is becoming extensive and on-demand videos or binge-watching are turning out to be the greatest trend of this time. That is why streaming entertainment businesses are trying to reach out to their audiences through every possible medium, including smartphones, tablets, computers, and even on TV. This has lead to a high demand for TV app development. 

We all would agree to this. The year 2020 is not just like any other year. The COVID-19 outbreak marked the downfall of various prospering businesses and the people associated with it. Retail, insurance, education, travel & tourism, fintech are amongst the industries that are most affected by coronavirus.

We all are aware of the concept of ‘rentals’. Renting a house means having a contract to stay in a property for a defined time interval and paying only for the facilities provided by the landlord. Similar is the concept of cloud infrastructure. There is a cloud service provider (landlord) who has a house (cloud infrastructure) with a set of services to serve the IT world. Businesses (the tenants) avail these services provided by the cloud provider and pay only for what they use. Here, the services may range anywhere from hardware, storage, network, and software.

eLearning is certainly the biggest hype during the COVID-19 outbreak. The education system, which is affected by the no-physical-movement is switching to at-home, online learning solutions. There are different ways education is delivered to the learners and Edtech businesses are cash in on it. 

Whether a six-second bumper ad or a multi-minute compilation, videos have an amazing power to engage online audiences. Video marketers say that video content helps them with lead generation, gives them a good ROI, helps in increasing website traffic, and improve sales. 

With a massive growth in computing needs, enterprises consider cloud services as an opportunity to unburden themselves from the job of maintaining their own IT infrastructure and software platforms. The benefits of public cloud services are recognized by SMEs and large enterprises and thus, they are migrating from their on-premise infrastructure to cloud. 

Virtual classrooms are the only way out for educational institutions to diminish the impact of COVID-19 pandemic on education. The digital era of education has pushed learnings beyond books, lectures, and talks. Explanatory videos, live sessions, challenges, contests, and rewards have made learning more engaging for learners as well as tutors. 

In 2019, the App Store offered 903,489 gaming apps. With such an astronomical rise in the number of gamers, new gaming ideas and their development are high in demand.

Yoga, the ancient health discipline is gaining popularity and acceptance, globally. It’s attaining a significant space in the wellness industry. If we specifically talk about the United States, there are 55 million people who practice yoga. In fact, Yoga and Pilates are two of the fastest-growing disciplines to achieve holistic health.  

The tremendous rise in the demand for audio and video content streaming, has made Over-the-Top (OTT) apps an unavoidable part of entertainment businesses. It’s not just the entertainment industry that’s making the most of OTT apps, other industries, such as education, gaming, health & fitness, etc. are realizing the benefits of streaming audio/video content over the internet, rather than the traditional broadcasting mediums (like satellite).

COVID-19 has introduced us to what was known as the ‘Virtual World’ and now is the reality we live in. The at-home workout sessions inspired virtual fitness studios, on-demand streaming apps encouraged virtual movie theatres, team collaboration tools created virtual workspace. Similarly, the eLearning platforms have created virtual classrooms that have been strongly backing the education system during the COVID-19 outbreak. 

The COVID-19 pandemic has created a big void in the film industry and certainly, the road back to normalcy will be a long one. Film exhibitors are unsure of how long it will take for the customers to return to a crowed, enclosed space, even after the stipulated ease in lockdown restrictions.

About a decade ago, we have seen the big-box gyms dominating the fitness industry. In about $50/month, people used to get everything they needed to break the sweat. Today, the boutique studios have changed the face of fitness by bringing in unique ways of staying fit, such as Yoga, indoor cycling, boxing, Zumba, etc. 

Outsourcing is a practice that a lot of companies have adopted in the past few years. The primary objective of outsourcing is cost reduction. Companies are constantly on the lookout for reliable technology partners to add value to their projects. Nowadays companies have various additional motives for implementing the practice. 

Gaming is the third most popular category amongst apps on the play store. By 2021, it is estimated that mobile gaming will generate the largest proportion of total gaming revenue worldwide. (Statista)

 Gurgaon, 12 May 2020: Daffodil Software, a leading software engineering company based in India, today announced that it is a Great Place to Work-CertifiedTM. 

The world is fighting a pandemic for which the governments across the globe had to shut institutions that were coming in the way of implementation of social distancing norms. This led to a temporary closure of physical establishments for commercial complexes, educational institutions, non-essential retail stores, and a vast number of companies had to shut their office premises and provide its employees with the facility to work from home.

The global Coronavirus outbreak has forced mankind to alter our way of living in high magnitude. People have shut themselves in their houses in order to combat the life-threatening disease COVID-19. This has led to many organizations small or large struggling to find a way forwards as an economic crisis is also collateral damage that the pandemic has brought with it. Large enterprises are rethinking their plans and strategies while trying to tailor them according to the situation that the world is dealing with today. Every enterprise needs to make business decisions related to its infrastructure and resources faster while helping its customers maintain their mission-critical systems and processes in the midst of the crisis. 

The Over-the-Top (OTT) market is thriving. Globally, online streaming service subscriptions have grown from 150 million in 2014 to over 600 million in 2019. Subscribers are expected to grow to 1.1 billion by 2021.

Online videos are a go-to source for entertainment, inspiration, education, information, and a lot more. With videos gaining ground, different platforms to stream videos are brought to market to reach the viewers. Video-on-Demand (VoD) and Live Streaming apps are two of them. 

These days, patient care and healthcare outcomes go beyond outpatient treatment and medication. A nutritious diet plan, exercise, regular health vitals tracking, psychotherapies, etc. have become an essential part of the treatment plan. That is why healthcare providers are focusing on wellness programs that offer personalized care options to the patients. 

For humans, classifying objects in an image is straightforward, as compared to machines. This process of classifying objects in an image, known as Image Classification involves labeling of images into predefined classes. Since there can be  n number of classes into which an image can be classified, manual classification (when there are thousands of images) is difficult for humans too. That is why automating the process of object identification and classification with machines is gaining ground.

Despite COVID-19 bringing many lives and businesses to halt, there are several tools and apps that are helping to escape the challenges. We can say, Over-the-Top apps are one of them.

  Industry experts frequently speak about agility,  as it has become the most popular buzzword nowadays. Agility, in simple terms, is the ability to use the fastest way to get new products to the market. This is the definition of agility in normal times, whereas the definition of agility for today’s environment when the world is fighting a global pandemic situation is quite different. Businesses today need to mobilize resources efficiently and effectively to ensure their survival.

  The software industry swears by the iterative approach to development. That is why Agile and its frameworks are the favorites of a project management team. Amongst the various Agile frameworks that are available for project management, Scrum, so far, has proven to be the most efficient one. 

This year has marked a downturn for various industries. However, there are some that are actually enabling many to sail through the tough time. The software development industry is one of them. 

Digital has the potential to completely transform the provider’s business and its operations through powerful and intelligent technology. Precision and genomic medicine, real-time clinical operation, virtual care, population health and care pathway orchestration platforms are rising and converging to form hyper-connected digital services and smart infrastructure that shape and form a new healthcare ecosystem. 

In 2016, Google launched the successor of its most popular web framework, Angular JS. It was named ‘Angular’ and is also referred to as Angular2+ or AngularV2. Recently, Google launched the stable release of Angular and this is expected to give an extensive boost to its user base (web and mobile app developers). Also, Google has announced that it will end its official support for AngularJS on June 30, 2021.

The world health pandemic, COVID-19 has incapacitated businesses by impacting their productivity as well as overall economic growth. It has immobilized their employees, making them work remotely. COVID-19 has also presented the greatest career challenge to the CIOs, i.e. ensuring business continuity by taking care of data availability, employee engagement, and enabling business operations in the time of crisis.   

Hypertext Preprocessor (PHP) is one of the most popular programming languages amongst the developer’s community. Open source, easy learning curve, amazing CMS & frameworks written in it, a large dev community in support are some of the reasons why startups and fortune 500 companies entrust PHP for building their web applications. 

Worried about their well-being amid the coronavirus outbreak, people are reaching out to doctors even for mildest symptoms. However, the lockdown protocol has limited people to step out from their homes and thus they look out for the alternatives to the in-person consultation session with physicians. 

An average adult human brain has a storage capacity of around 2.5 petabytes in their memory. With such tremendous capacity, ‘forgetting things’ can be an awful experience for us humans. For example, not being able to recall the password that was updated a day before or unable to remember where the keys were kept the last time.

According to “National Health Expenditure”, spending growth of hospitals is projected to accelerate to 5.7% per year on average over 2020-27 due to increase in spending growth of all payers (and medicare in particular). Also contributing to faster growth over 2020-27 is somewhat higher price growth arising from expected increases in wage growth and tighter labour markets for healthcare professionals.

In the fast-paced and extremely demanding software development world, frameworks are like a magic bullet for the developers. They help in improving developer’s efficiency, reduce time-to-market, and improve application scalability. One such proficient framework is Rails, based on Ruby.

As the number of confirmed COVID-19 cases spikes, several countries have found lockdown as a solution to control this pandemic. As hundreds and thousands of people stay at home following this emergency protocol to prevent COVID-19 spread, they are avoiding visits to medical clinics or in-person physician consultation for acute illness.

The coronavirus outbreak, which originated in China, has infected tens of thousands of people globally. With over 153,648 confirmed cases across 146 countries, the World Health Organization (WHO) has officially declared it a pandemic. (Source)

Duplicate API requests are common and if dealt wisely,  can help developers in creating a seamless user experience. In a scalable application, duplicate API requests can be problematic to the resources on a server, can affect the cost, and can interrupt performance.

Scalability, security, flexibility, and speed are some of the catchwords for enterprises today. When we specifically talk about application development, javascript has proven to be the most versatile technology. Tools, frameworks, and libraries built on this technology are gaining ground amongst the developers  for several reasons.

Learning is an extensive process, involving several aspects to it. Development of cognitive skills, acquisition of new declarative knowledge, discovering new facts & theories from experimentation are some of the common and significant aspects of learning.

Python is the most versatile programming language amongst developers today. Since Python is reliable and easy to maintain, it becomes the go-to language for software engineers, data scientists, automation engineers, game developers, etc.

Fintech is one of the fastest-growing industries, owing to the rising penetration of internet users. There is a paradigm shift to mobile devices for performing financial transactions and related actions. 

Technology is the key component to optimize and transform public services today. Government & public sector CIOs are using modern technologies to digitally transform the way public goods and services are rendered, maintained, and improved.

The mobile app development world is fast-paced, competitive, and time-driven. The developers’ community is on a constant lookout for new tools, frameworks, and libraries that can help them keep up with ever-growing, agile business requirements.

Python is one of the most wanted programming languages by developers worldwide. The popularity of this high-level programming language can be estimated from the fact that over 155,543 websites online are built using Python, with 89,952 unique domains. | Similar Tech

The healthcare industry has a great partnership with modern-age technologies to work around some of the common yet the biggest challenges of the care delivery system. Optimizing the supply chain, managing massive volumes of patient-related data, enhancing patient experience, ensuring data security, managing system integration, communication, & data sharing, etc. are a few of them.

There are currently over 2.7 billion smartphone users globally, and 90% of mobile time is spent on apps.  Amongst the 4+ million apps that are already uploaded on the app store and play store, there are only a few that receive exceptional downloads, have a great user retention and engagement rate. 

7% of Google’s daily searches are health-related, equivalent to 70,000 searches every minute. People are asking us questions about conditions, medication, symptoms, and insurance, confirms David Feinberg (VP, Google Health). 

Constant attention by a good nurse may be just as important as a major operation by a surgeon. -Dag Hammarskjold 

We usually come across websites and apps that have a poor usability quotient. This is acknowledged through gaps in the UI/UX, such as font size, improper navigation, lightening or color contrast issues, incompatibility with a certain user agent, etc.

Gurgaon, 8th January 2020: Daffodil Software, a leading software services company, today announced that they have been positioned as an ‘Emerging Niche Player’ in the Zinnov Zones for ER&D 2019 ratings. 

Patients with scheduled clinical appointments, who do not show-up, harms the clinical workflow, patient care system, and cost-effective care delivery. Studies suggest that 1 out of every 5 appointments are a no-show.

Planning is an indispensable part of any project management. When following the Agile methodology to manage a project, there are a number of approaches that can help a team to plan the development cycle and ‘User Stories’ are one of them.

The market demand for custom application development has grown five times faster than the internal IT organization’s capacity to deliver them. There is a continuous struggle to stay proactive against competitive pressure, resulting in a development cycle that is more tactical than strategic.

Books and their inexhaustible wisdom is no more limited to startups, students, or newbies in the industry. Bill Gates reportedly reads 50 books a year. Mark Zuckerberg reads a new book every two weeks and has a book club named ‘A Year of Books’

Enterprise software takes up a large part of IT budgets. With organizations aggressively investing in digital initiatives, there is a wide range of dissimilar and disconnected applications that have become a part of their portfolio. In response, CIOs are putting in continuous efforts to rebalance their technology portfolio, prioritizing their investments in the most efficient and much-needed software applications. 

The holiday season is around the corner and e-retailers, like every year, are geared up for more customers and conversions. While deals and discounts have been the most influencing reasons behind holiday purchases, they are not enough to convince the customers anymore. 

Digital transformation is the watchword for CIOs aiming to reimage their business in the digital world. It uses the best of technology to resolve business challenges and deliver to market requirements. That is why IT decision-makers keep themselves abreast of the latest technologies that can give a boost to their business processes, irrespective of the industry. 

Cloud infrastructure is one of the sought after approaches for managing CapEx and OpEx costs for businesses at the initial stage. But, as the business expands, the cloud services inflate in number as well. More the services, the more would be the cost to the provider. Amidst this, how can companies ensure that their cloud infrastructure proves cost-effective along with performance-oriented? The answer is by optimizing the cloud infrastructure for cost. 

When legacy systems hold back the business growth, IT teams race to modernize the existing solutions, thereby creating new business value out of them. The process involves technical or functional improvements, which may range anywhere between rewriting code, migration to a different platform, changing the architecture, or even replacing the entire system with a newer one.

Quite similar to the software development cycle, robotic process automation (RPA) is a strategic approach to automation. It requires thorough planning, defining timelines, managing resources, understanding compliances, and a lot more. That is why, RPA is considered as a journey, which comprises of 4 major steps for its successful implementation. 

Software Reliability Engineering and DevOps are two sought after disciplines, trying to maintain a balance between the software engineering and operations team. Since both approaches seem to sort similar problems, there is confusion if they are similar or can be used interchangeably. 

“Okay, Google! Book me a taxi from my place to Oxford street.” “Alexa, Order a large Veg Exotica from Nick’s Pizza.” In the voice-first era, performing a web search, ordering food, playing music, setting alarms, getting real-time traffic updates doesn’t require tapping the screen. Thanks to the Voice User Interfaces (VUIs) that are offering intuitive modes to set human-machine communication. 

The modern approach to software development needs more focus on application than infrastructure. This has led to the introduction of new technologies and platforms that can help in the auto-management of infrastructure. One of the popular approaches that have gained ground in this concern is software containers. 

Location is the next big thing on mobile. Walmart, McDonald’s, Macy, Red Bull, Eat, Urban Outfitters, and many other successful brands are realizing the opportunities that location-based marketing brings in and are cash in on it.

It is not the strongest of the businesses that survive, nor the most intelligent that survives. It is the one that is the most adaptable to change. Believing in this theory of evolution, businesses are leveraging digitization, transforming the way legacy systems and operations are managed. 

Building a software application is a complex process, comprising of a number of elements of which coding is just a small part. In general, a software engineering cycle looks something like this: 

The insurance industry is overwhelmed with tedious clerical tasks that adversely impact routine operations, such as claim processing, underwriting, policy servicing, etc. As a result, there are delays, inaccuracies, and backlog, which needs to be settled timely, without violating the business regulations. 

With cloud becoming the buzzword of the IT industry, a number of strategies are being introduced to help businesses make the most of it. Hybrid cloud and multi-cloud are two cloud architectures that offer flexibility to avail benefits of cloud computing. 

Virtual reality devices, AI assistants, multi-lingual translators, wearables, location-based services. A decade back, these technologies were something out of a sci-fi movie. But today, they are a reality and businesses are making the most of it to offer exceptional experiences to customers. 

Whatsapp is the most popular messaging platforms with 1.6 billion active users monthly. Extending its real-time communication services to the next level, Whatsapp is enabling businesses to have seamless, secure interaction with customers.