The pieces to build the foundation for whole-health data integration are in place, but they need to be turned into a strategy ...

As firms race to adopt AI, the real challenge lies in making data accessible, structured and usable across organizations. He ...

Celestica has transformed into a design-centric platform integrator, occupying key control points in AI data center infrastructure and rack-scale integration. CLS benefits from surging hyperscaler ...

Rafa Flores, Chief Product Officer @Treasure Data, is redefining market-agnostic saas with breakthrough solutions at the edge of Data & AI. Many organizations weigh the option of building a customer ...

Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Deloitte projects that by 2035, power needs for AI data centers in the US could surge more than thirtyfold. The demand for computing power has turned data centers into one of the fastest-moving ...

By Michael Krallmann, CEO, TransLegal. For the legal tech community, cross-jurisdictional meaning raises questions of risk, liability and trust. Increasingly capable models, wrapped in ...

Mark Zuckerberg is rapidly expanding Meta's AI infrastructure with new data centers. Meta has lagged in AI this year, prompting Zuck to recruit top talent and invest heavily in infrastructure. Some of ...