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 ...

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 ...

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 ...

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 ...

Every few years, the agricultural technology sector gets a new silver bullet. In 2013, the narrative was big data transforming farm management — Monsanto's $1.1 billion acquisition of The Climate ...

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.

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 ...

Trust is fragile, and that's one problem with artificial intelligence, which is only as good as the data behind it. Data integrity concerns -- which have vexed even the savviest organizations for ...