AI Decisions at Scale: From Hype to Real Product Impact

Episode overview

AI is everywhere. But very few teams know how to turn it into real decision systems that drive personalization and business growth.

In this episode, Jack Ananchenko speaks with Anamika Datta, Product Lead for AI Decisions at HelloFresh, about what it actually takes to build AI-driven decision systems that work in the real world - not just in theory.

From Amazon and Zalando to HelloFresh, Anamika shares how leading product teams approach personalization, experimentation and decision-making at scale and why most companies struggle to move beyond AI hype.

This is not a conversation about “adding AI features.” It’s about building systems that can continuously make better decisions as your product grows.

In this episode:

• Why AI is not a magic solution and what it actually is in product development
• What personalization at scale really means (beyond recommendations)
• How decision support systems work in real companies
• The real difference between A/B testing and multi-armed bandits
• Why most companies fail with AI because of internal misalignment
• How to deal with data, noise, and wrong assumptions
• What product leaders need to unlearn about AI
• Where AI is going next: from LLM-driven systems to automation and robotics

AI doesn’t replace people. It amplifies how your business makes decisions - for better or worse.