Topic
Artificial Intelligence (AI) & Machine Learning (ML)
AI and ML are no longer just buzzwords or hypotheticals; they are now practical tools shaping the way modern products are built and experienced. At their core, these technologies are about enabling systems to learn from data and make decisions with minimal human intervention. For product managers, this means knowing when to leverage AI/ML to solve real problems, deliver more personalised experiences, and unlock smarter automation. A solid grasp of the fundamentals helps you work effectively with technical teams, identify impactful use cases, and ensure these solutions support your product strategy.
Your product speaks English. Your customers don't
Udit Mehrotra
Loop Engineering 101: Start with the outcome
Prerna Kaul
Don't be an a**hole: How to design AI products that people trust — Simonetta Batteiger at mtpcon London 2026
Alexandra Ciufudean
AI agents are your newest product feature. Is your security thinking keeping up?
Mohit Bansal
How Fin builds at the edges when agents own the middle: John Moriarty at #mtpcon London 2026
Louron Pratt
I broke an agent on purpose to see what an AI reviewer would catch
Prerna Kaul
Why most AI hardware products should never be built
Akash Rathi
How ChatGPT learned to mask its image bias without fixing it
Iryna Havryliuk
Lessons from vibe coding with AI
Ryan Thomas Hewitt
Anthropic's Fable 5 launched this week. It made me question everything I know about the AI habit design
Prerna Kaul
Your executives don't understand AI. That's your problem to solve
Michael Hirsch
Should OpenClaw replace Claude in your PM stack?
Prerna Kaul