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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.
AI ethics advice from former White House technologist – Kasia Chmielinski (Co-founder, The Data Nutrition Project)
How Google makes AI work at Enterprise scale – Miku Jha (Director, AI/ML and Generative AI, Google Cloud)
LLM workflows for product managers: 3 key takeaways (Niloufar Salehi, Assistant Professor at UC Berkeley) – ProductTank SF
The future of product management: Insights from ProductTank San Francisco
Product lessons learned making early moves with AI in media: Lindsey Jayne (CPO, Financial Times)
A year with ChatGPT and product innovation: Navigating the AI landscape
How to keep your head about generative AI (when everyone is losing theirs) by Claire Woodcock
What we get wrong about technology by Tim Harford
Product management in the age of ChatGPT by Yana Welinder
How Canva uses AI-powered features to drive PLG
The role of an AI product manager by Hiroki Nakamura
A gentle introduction to AI in product by Rand Hindi
