Originally published in Forbes The AI executives are at it again, promising human-level machines in the near future. In Davos, the CEOs of Google DeepMind and Anthropic each doubled down on the near-term arrival of artificial general intelligence – the hypothetical capacity for a machine to do most anything a human can – giving it 50% […]

  Originally published in Forbes When Henry Castellanos first presented his machine learning model to his company’s executives, he found himself fighting off a certain self-doubt that is so common among data professionals, it’s almost universal. On one hand, his model looked great. It did a sturdy job predicting which dental patients would fail to show […]

 Originally published in Forbes Most predictive AI projects fail to launch into production. The number crunching is sound and the data scientist delivers a viable machine learning model – but stakeholder objections sadly preclude deployment. To better meet stakeholders where they are, ML professionals are spearheading a movement to focus on predictive AI’s business value. Rather than sticking with the traditional […]

 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 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 […]