An agent can produce a mathematically elegant, third-normal-form schema that is functionally irrelevant because it fails to capture the political or operational nuances of the organization. Deploying ...

The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms-driven largely by the explosive rise of GenAI and large language ...

SAN MATEO, Calif.--(BUSINESS WIRE)--Hammerspace, the company orchestrating the Next Data Cycle, today released the data architecture being used for training inference for Large Language Models (LLMs) ...

Microsoft's Phi-4-reasoning-vision-15B uses careful data curation and selective reasoning to compete with models trained on ...

As enterprise digital transformation advances with increasing depth and precision, the ability to efficiently manage and ...

As regulated industries accelerate AI adoption, Chennareddy’s governed, audit-ready architecture spanning North America, EMEA, and APAC offers a model for compliant enterprise intelligence at scale.

Ben Khalesi writes about where artificial intelligence, consumer tech, and everyday technology intersect for Android Police. With a background in AI and Data Science, he’s great at turning geek speak ...

The NIST-800 security framework sets the tone of "never trust, always verify," emphasizing the concepts of least privilege and continuous monitoring. This becomes especially important and relevant in ...

“We have 600 petabytes of data across Intel,” said Aziz Safa, corporate VP & GM Intel Foundry Automation at the recent PDF Solutions Users Conference. “The challenge is to be able to run algorithms on ...