Originally published in Forbes Recently on The Dr. Data Show, my co-host Luba Gluhova and I dug into the evolving discourse surrounding artificial general intelligence – and its stubborn incoherence. A recent publication by the venture capital firm Sequoia Capital projected the arrival of AGI by 2026, defining the concept simply as “the ability to figure things
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...
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...
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,...
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...
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....
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,...
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?...
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...
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...
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