Machine Learning Times
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For Managing Business Uncertainty, Predictive AI Eclipses GenAI
  Originally published in Forbes The future is the ultimate...
AI Business Value Is Not an Oxymoron: How Predictive AI Delivers Real ROI for Enterprises
  Originally published in AI Realized Now “Shouldn’t a great...
How To Un-Botch Predictive AI: Business Metrics
  Originally published in Forbes Predictive AI offers tremendous potential...
2 More Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes Predictive AI and generative AI...

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 Originally published on ProPublica, January 26, 2026. The Transportation Department, which oversees the safety of...

 Originally published on Forbes, January 15, 2026. In the current wave of generative AI innovation,...

 Originally published on The New Yorker, December 12, 2025. The narrative of boom and bust...

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      Originally published in Forbes The future is the ultimate unknown. There’s no more coveted business knowledge than, “What’s going to happen?” Yet, since we can’t eliminate uncertainty, we can only do the next best thing: Manage it. Large-scale operations constitute a “numbers game” that involves millions of decisions. We can play this game more effectively […]

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      Originally published in AI Realized Now “Shouldn’t a great model be a sure bet to deploy?” Eric Siegel opened his AI Realized keynote by answering his own question. A technically strong model is not a sure bet, he argued, because value does not come from accuracy alone. It comes from deployment decisions that are justified […]

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      Originally published in Forbes Predictive AI offers tremendous potential – but it has a notoriously poor track record. Outside Big Tech and a handful of other leading companies, most initiatives fail to deploy, never realizing value. Why? Data professionals aren’t equipped to sell deployment to the business. The technical performance metrics they typically report on […]

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      Originally published in Forbes Predictive AI and generative AI are two very different animals that, it turns out, desperately need one another. Since they serve different purposes, projects that employ them are often siloed away from each other. Yet these two “flavors” of AI are destined to marry because each is suited to address the […]

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      Originally published in Forbes Executives know the importance of predictive AI. As Unilever CDO Morgan Vawter wrote, “Its practical deployment represents the forefront of human progress: improving operations with science.” But there’s bad news for data scientists: Your predictive AI project will probably fail. Your customer probably won’t operationalize the machine learning model you deliver. They won’t […]

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      Originally published in Forbes To know that we’re in an AI bubble, you don’t need OpenAI chair Bret Taylor or Databricks CEO Ali Ghodsi to admit it, as they have. Nor do you need to analyze the telltale economics of inflated valuations, underwhelming revenues and circular financing. Instead, just examine the outlandish claim that’s been driving the hype: We’re nearing […]

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      Originally published in Forbes I recently wrote about how agentic AI is the new vaporware, reasoning that it’s a hype term that repackages pie-in-the-sky AI ambitions, but does not allude to any particular advancement that might achieve them. The buzzword amplifies the overpromising narrative that we’re rapidly headed toward a great leap in autonomy. Most […]

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  •  In anticipation of her upcoming presentation at Deep Learning World, part of Machine Learning Week Las Vegas, June 18-22, 2023, Devanshi Vyas, Co-Founder at Censius, provided a brief video overview of her Deep Learning World presentation, Navigating Uncharted Territory:...

  •  In anticipation of his upcoming presentation at Predictive Analytics World Industry 4.0, part of Machine Learning Week Las Vegas, June 18-22, 2023, Ayush Patel, Co-Founder at Twelvefold, provided a brief video overview of his PAW Industry 4.0 presentation, The...

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