Perspectives on AI, Analytics, and Transformation
Selected writing on how healthcare and life sciences organizations can apply data, analytics, and AI to transform how they operate and deliver value. I focus on moving beyond experimentation to building institutional capabilities that enable sustained impact.
AI Is Not a Technology Problem — It’s an Operating Model Transformation
Most organizations treat AI as a technology initiative. In healthcare and life sciences, real value comes from transforming how institutions operate.
Exploring the FDA and EMA Principles of Good AI Practice
Is your organization ready for AI regulation? Jason Burke unpacks the FDA and EMA's Good AI Practice guidance and the three capability gaps life sciences leaders must address now.
Why AI Feels Like the Wild West
AI in life sciences feels chaotic — but it doesn't have to. Explore the 7 key tensions facing industry leaders and the principles that separate AI winners from the rest.
CROs in the Age of AI
Discover how AI is transforming the $100B CRO industry — from business model shifts to data strategy — and what clinical research leaders must do to stay competitive.
Using AI Archetypes in Designing Digital Transformations in Life Sciences and Healthcare
Patterns in the intended uses of artificial intelligence (AI) increasingly reflect the many roles AI can serve in life sciences and healthcare solutions and workflows.
Eight Ways Life Sciences Leaders Can Kickstart Artificial Intelligence
Industry executives are feeling pressure to develop AI plans, and many roadmap techniques can help without creating big or risky plans.