Originally published in Forbes On a recent episode of the Dr. Data Show, my co-host Luba Glouhova and I tackled a new paper authored by AI luminary Yann LeCun alongside other researchers. We had been tipped off by another co-author of the paper, AI researcher Philippe Wyder, who reached out on social media to say the paper related
A practical introduction to making complex project structure explicit for humans and AI, with examples from predictive analytics and enterprise ML. Large analytics and AI projects contain more than source code. Predictive analytics and enterprise ML projects...
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...
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?...
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