Back in 2019, Gartner predicted that the vast majority of AI projects would continue to fail: Only 53% of projects make it from prototypes to production, and 85% of those blow up. And that’s more or ...

Data stream classification and concept drift detection are essential components in the realm of real-time data analytics. As data streams continuously flow from sources such as sensors, financial ...

Founder and Managing Principal of DBP Institute. I consult companies on how to transform technology and data into a valuable business asset. There are many reasons for this poor success rate, one of ...

Decisions anchored in data can help organizations compete, scale and avoid risk, but only if teams verify the integrity of the data feeding analytics or AI systems before models are trained or ...

One of the challenges with AI models today is that once you release the model into the wild, it can “drift” and become less effective. Researchers from UC Berkeley and Stanford recently released a ...

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