Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise ...

KDNuggets, a community site for data professionals, ranked “We Don’t Need Data Scientists, We Need Data Engineers,” by Mihail Eric, a venture capitalist, researcher, and educator, as its top story of ...

Enabling the collection and utilization of data is crucial to successfully supporting AI projects at enterprise scale. From data integration to data pipelines, AI performance, data governance, ...

Engineering has always depended on the ability to test ideas before committing them to expensive physical prototypes, ...

There’s been a lot of chatter lately about how the AI revolution will diminish the role of data engineers. I don’t believe that’s the case — in fact, data expertise will be more critical than ever.

As agents assume more of the implementation and operational work, organizations will need to reconsider what data engineering is intended to deliver.

“Technology is a tool to bridge gaps, drive efficiency, and empower organizations. My focus is on creating systems that are both robust and adaptable, meeting the demands of a rapidly changing world.” ...

FormativGroup has acquired Saige Consulting, an AI and technology consulting firm that connects business strategy with ...

Then a colleague asked a question that changed everything: "What information does the model actually have when it answers?" ...

MFour Data Research, provider of the largest, first-party mobile-app consumer panel in the U.S. and the only platform ...