Rashi Chandra

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…

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…

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a business-critical application is running, but the source code is either missing, broken beyond comprehension, or too outdated to be useful.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…

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.

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,…

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…

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…

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…