Reflections by the Arabian Sea – Why AI Must Learn Mortality to Serve Humanity
Overlooking the Arabian Sea from Taj Lands End, as I wrapped up a journey through Mumbai and the Maldives, a […]
Building Trust in AI Adoption for Healthcare
Expectations from Artificial Intelligence (AI) in healthcare are to be perfect because the risks are too high. We ask: Will
Hard-Earned Lessons for Innovators and Founders Wearing Multiple Hats as Product Manager, Architect and Developer
For all the amazing innovators, leaders, founders, entrepreneurs, and students—undergrad, grad, and beyond—tasked with building AI strategy, many of you
Patent-Pending Adoption Innovation—Built for Better Matches, Backed by Empathy
Built with Empathy. Driven by Purpose. Inspired by Bailey. Bailey was a Christmas gift—but not the kind that brought lasting
Neo’s Legacy – Predicting Congenital Risk in Dogs with AI
Neo’s Legacy – Predicting Congenital Risk in Dogs with AI Neo’s Legacy – Predicting Congenital Risk in Dogs with AI
LangChain for AI Agent Development – A Beginner-Friendly Guide with a Drug Safety/Pharmacovigilance Example
In this article, I explore the application of LangChain in building AI agents, with a specific focus on drug safety
Unsupervised Machine Learning Approach to Driving Mental Health Inferences, Interventions & Innovations
Understanding the needs and problems emerging from quantitative data analysis is crucial for driving objective, realistic and purposeful innovations across
AI Leadership, Building on What You Already Know
Growing up in a family of educators in India, I often stopped by my late father’s department between my engineering
Fact-Based View on AI Market Reactions & Long-Term Impact
With the constant influx of AI developments—something that has become the norm—and recent discussions around DeepSeek, it’s understandable that emotions
Navigating the AI Landscape by Focusing on What Matters & What’s in It for Me!
The rise of artificial intelligence (AI) has created a flood of information and content, making it challenging to separate hype
