3+ hour, 28+ min ago  (459+ words) Predictive AI routinely fails to deploy, so data scientists are spearheading a movement to focus on its business value. But stakeholders need a better understanding.Eric Siegel (with Meta AI) Most'predictive AI'projects'fail to launch'into production. The number crunching is sound…...

2+ mon, 3+ day ago  (344+ words) From Text To Tables: Why Structured Data Is AI's Next $600 Billion Frontier'Machine Learning Week US Originally published on Forbes, January 15, 2026. In the current wave of generative AI innovation, industries that live in documents and text " legal, healthcare, customer support, sales,…...

2+ mon, 3+ week ago  (285+ words) Generative AI hype distracts us from AI's more important breakthroughs'Machine Learning Week US Originally published on MIT Technology Review, December 15, 2025. It's a seductive distraction from the advances in AI that are most likely to improve or even save your life…...

2+ mon, 3+ week ago  (392+ words) The great AI hype correction of 2025Machine Learning Week US Originally published on MIT Technology Review, December 15, 2025. Four ways to think about this year's reckoning Some disillusionment was inevitable. When OpenAI released a free web app called ChatGPT in late 2022, it…...

2+ mon, 3+ week ago  (223+ words) Given their importance, why are business metrics so rare? Research has shown that data scientists know better, but generally don't abide: They rank business metrics as most important, but in practice'focus more on technical metrics. Why do they usually skip…...

2+ mon, 3+ week ago  (363+ words) Originally published in'AI Realized Now Watch the full AI Realized Summit presentation: The diagnosis was blunt. Predictive AI projects often skip a critical step: valuating the model, in business terms, before deployment. Teams evaluate models with precision, recall, AUC, and…...