Topic Hub
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.
Topic videos
AI ethics advice from former White House technologist – Kasia Chmielinski (Co-founder, The Data Nutrition Project)
In this episode of the Product Experience Podcast, we speak with Kasia Chmielinski, co-founder of The Data Nutrition Project, who discusses their work on responsible AI, data quality, and the Data Nutrition Project. Kasia highlights the importance of balancing innovation with ethical considerations in product management, the challenges of working within large organizations like the
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)
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