AI & Data Products

Beyond the Algorithm – Building Healthcare’s AI-Ready Future
Healthcare’s AI crisis isn’t what you think. While the pandemic unleashed hundreds of COVID-19 prediction models promising diagnostic breakthroughs, zero reached successful clinical deployment. A 2020 BMJ systematic review

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 simple yet profound realization resurfaced: human connection and relationships

Stop Chasing AI Perfection in Healthcare—Build Trust by Matching Human Performance
Artificial intelligence (AI) is often expected to outperform humans in healthcare because the stakes are high. A more rational approach is to evaluate AI against the real‑world performance of

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 whom I’ve had the privilege of mentoring and coaching

Prompt Engineering Strategies for Clinical AI Applications
Prompt engineering – the crafting of effective inputs for generative AI – is emerging as a critical skill in healthcare. This article provides a comprehensive overview of six key

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 joy. Just weeks after arriving at her first home,

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 Neo came into our lives as a surprise birthday

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 reporting. Within the field of pharmacovigilance, LangChain could play

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 societal, private, government, or any other setup. Over the
Recent Articles

AI Leadership, Building on What You Already Know

Fact-Based View on AI Market Reactions & Long-Term Impact

Navigating the AI Landscape by Focusing on What Matters & What’s in It for Me!

Transforming AI Articles into Future Innovations

Balancing AI’s Decision-Making with Human Ethics – A Comprehensive Framework and Clinical Trials Use Case

Unveiling True Success: A Holistic Journey Within
