Building a Real-Time Adverse Event Detection System for Post-Market Surveillance

From 6-week manual review cycles to real-time signal detection — how we rebuilt pharmacovigilance with NLP.

Viz.ai: AI Triage from FDA Clearance to 1,400+ Hospitals

FDA AI/ML Regulatory Checklist for Life Sciences & Healthcare

LangChain vs. LlamaIndex for Healthcare RAG: A Technical Comparison

If you're building RAG (Retrieval-Augmented Generation) applications for healthcare - clinical decision support, medical literature search, protocol Q&A, pharmacovigilance - you&

AWS HealthLake vs. Google Cloud Healthcare API: Building Healthcare Data Platforms

If you're building a healthcare data platform today, you're almost certainly choosing between AWS and Google Cloud as your foundation. Both

The AI Product Manager's Toolkit: 10 Frameworks That Work Across Industries

After building AI products across healthcare, edtech, and CPG, I've distilled the frameworks that actually survive contact with real organizations. These 10 tools work regardless of industry — because the hard problems in AI product management are fundamentally the same.

RICE for AI: Modified Prioritization Framework

Standard RICE doesn't work for AI products because 'confidence' means something different when a model is involved. Here's the modified version I use across healthcare, fintech, and consumer AI.

AI Vendor Evaluation Scorecard for Life Sciences & Healthcare

Agentic AI Explained: What It Is, Why It Matters, and How to Build With It

If 2023 was the year everyone discovered LLMs could write surprisingly good text, and 2024 was the year enterprises started asking "but how do

Claude vs GPT-4 vs Gemini: Enterprise AI Platform Showdown

I've spent the last two years building AI products on top of Claude, GPT-4, and Gemini — across healthcare, edtech, and enterprise technology. Here's what I actually learned about when each one wins.

Healthcare AI Product Roadmap: How I Prioritize Features Across 10 Clinical Products

I manage AI features across 10 clinical products simultaneously. Here is the prioritization methodology I have developed for regulated, multi-stakeholder healthcare environments.

Epic vs. Tempus: Two Approaches to AI in Healthcare

Epic and Tempus represent two fundamentally different philosophies for bringing AI into healthcare. Epic embeds AI into the existing EHR workflow - ambient documentation, inbox

Research Preview: Cross-Industry Patterns in AI Product Management

A preview of an upcoming research paper analyzing 100+ AI product launches across healthcare, fintech, edtech, and consumer tech to surface universal failure and success patterns.

Build vs. Buy AI in Life Sciences: A Framework for Enterprise Decision Makers

Every enterprise AI decision eventually becomes a build-vs-buy decision. Here is the framework I use to make that call in regulated life sciences environments.

Product Breakdown: Epic's GenAI Strategy — Why the EHR Giant Will Win the Healthcare AI Race

Epic has distribution, data, and trust. Startups have speed and innovation. Here's why distribution wins.