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.