Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

Industry discussions about what’s holding back AI often focus on security, graphics processing unit availability and other ...

Unit4's Claus Jepsen on why semantic layers, deterministic guardrails, and vertical depth are what it takes to move from a ...

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...

Semantic layers in the age of AI are becoming an important part of how organizations structure data, search, and ...

The 10 coolest big data tools of 2026 so far include products from Databricks, Google Cloud, Starburst, Teradata and ...

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

Tech leaders are under pressure to satisfy growing demand for AI while keeping a lid on costs. That is becoming harder as ...

Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, ...

Observability OR monitoring, open community work OR enterprise readiness, lexical OR semantic search- Bianca Lewis erases ...

Businesses are making data the centre of their operations rather than moving it around, says Everpure, which launched ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...