Originally published in Forbes The more AI changes, the more it stays the same. For decades, we data scientists and machine learning professionals were in a long-term, exclusive relationship with predictive AI (aka predictive analytics or enterprise ML). Then LLMs came along and tempted us almost to the point of divorce – only to now […]

  EDITOR’S NOTE: This article is adapted from the new preface to the paperback edition of The AI Playbook: Mastering the Rare Art of Machine Learning Deployment., coming October 27, 2026. Special offer: Pre-order the paperback now and receive free, immediate access to the audiobook. This article was originally published in CDO Magazine. An epic […]

  EDITOR’S NOTE: This article is excerpted from The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. The paperback edition of this book will drop on October 27, 2026, along with a new preface. Special offer: Pre-order the paperback now and receive free, immediate access to the audiobook. Summary. With so many machine […]

  EDITOR’S NOTE: This is the preface to The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. The paperback edition of this book will drop on October 27, 2026, along with a new, second preface, “Predictive AI Thrives, Despite Generative AI Stealing the Spotlight.” Special offer: Pre-order the paperback now and receive free, […]

 Originally published in Forbes The great potential of LLMs is significantly compromised by their Achilles heel: a deadly reliability problem. Predictive AI can address this problem – and that represents the next killer app for predictive AI. Enterprises such as Instacart, HP, Salesforce and Twilio are now adopting this inevitable, crucial pivot. Here’s the late breaking […]

  Originally published in Forbes On a recent episode of the Dr. Data Show, my co-host Luba Glouhova and I tackled a new paper authored by AI luminary Yann LeCun alongside other researchers. We had been tipped off by another co-author of the paper, AI researcher Philippe Wyder, who reached out on social media to say the paper related […]

 A practical introduction to making complex project structure explicit for humans and AI, with examples from predictive analytics and enterprise ML. Large analytics and AI projects contain more than source code. Predictive analytics and enterprise ML projects make this especially visible: they contain intermediate datasets, derived tables, feature definitions, model inputs, evaluation results, decisions, workflow […]