AI is fundamentally changing how we build and manage products—but agentic AI takes things to an entirely new level. In this episode of the Data Neighbor Podcast, we’re joined by Mahesh Yadav, who has built and launched AI-driven products at leading FAANG companies including Microsoft, Meta, Amazon, and Google. He’s also the creator of the popular Maven course on Agentic AI Product Management: https://maven.com/mahesh-yadav/genaipmMahesh shares firsthand insights into how the product lifecycle for AI-driven features differs from traditional development, the critical importance of robust evaluations, and how teams can practically adapt to the rapidly evolving landscape of AI. Whether you're a product manager, data scientist, engineer, or executive navigating the complexities of integrating AI into your products, this episode is your practical guide to thriving in the AI-first world.In this episode, you'll learn:- How the product lifecycle for agentic AI products differs from traditional software.- Practical frameworks for effectively evaluating AI performance and quality.- The role of subject matter experts and evaluation scientists in scaling AI products.- Strategies for staying ahead as AI reshapes traditional roles and team structures.Connect with Mahesh Yadav:🔗 LinkedIn: https://www.linkedin.com/in/initmahesh/🎓 Maven Course on Agentic AI Product Management: https://maven.com/mahesh-yadav/genaipmConnect with Shane, Sravya, and Hai (let us know which platform sent you!):👉 Shane Butler: https://linkedin.openinapp.co/b02fe👉 Sravya Madipalli: https://linkedin.openinapp.co/9be8c👉 Hai Guan: https://linkedin.openinapp.co/4qi1r

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