Episode 14: Why Most Companies Aren’t Actually AI Ready (and What to Do About It)

Episode notes

Barr Moses - co-founder and CEO of Monte Carlo - thinks we’re headed for an AI reckoning. Companies are building fast, but most are still managing data like it’s 2015. In this episode, she shares high-stakes failure stories (like a $100M schema change), explains why full-stack observability is becoming essential, and breaks down how LLM agents are already transforming data debugging. From culture to tooling, this is a sharp look at what real AI readiness requires - and why so few teams have it. LINKS 2024 State of Reliable AI Survey - Monte Carlo Delphina's Newsletter Unity’s $100M Data Error - Schema Change Gone Wrong Citibank’s $400M Fine for Risk Management Failures Google’s AI Recommends Adding Glue to Pizza Chevy Dealer’s AI Chatbot Agrees to Sell Tahoe for $1 The AI Hierarchy of Needs by Monica Rogati (HackerNoon) Data Quality Fundamentals by Barr Moses, Lior Gavish, and Molly Vorwerck (O’Reilly) Delphina's Newsletter

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