Originally published in Forbes After decades chairing and keynoting myriad machine learning conferences, I have witnessed time and again that event programs often signal emerging industry trends. This year, I’m chairing an event where a couple dozen enterprises will disclose their move toward a crucial new paradigm: hybrid AI. Here’s why the AI industry needs to […]

 Originally published in Forbes Generative AI and predictive AI ought to live together in harmony. They solve different problems and present distinct value propositions, so they should compete no more than a water park and a ski resort. In fact, they work best together: Hybridizing the two – using one to help the other – delivers the […]

  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 […]

  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 […]

  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 […]

  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 […]

  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 […]