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

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 ...

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 ...

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

A wealth of shiny, AI-powered toys isn't making business decisions better or even helping teams arrive at them faster.

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

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

One of the latest initiatives focuses on enabling AI agents to interact more effectively with telecom data and operational ...

Everpure's data primacy thesis is a bold architectural argument. Across four interviews at Accelerate, its executives made ...

The funding round was led by Norwest, with participation S Capital VC, Cerca Partners, and Oceans Ventures. Snowflake Ventures also participated as a strategic investor.