General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

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, ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...

Everpure's data primacy thesis is a bold architectural argument. Across four interviews at Accelerate, its executives made the case about what it actually means for buyers right now.

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.

Contributed by Anton Zeilinger, October 24, 2019 (sent for review August 19, 2019; reviewed by Ebrahim Karimi and Terry Rudolph) A computer algorithm with access to a large corpus of published ...

AI agents have fundamentally changed the threat model of AI model-based applications. By equipping these models with plugins (also called tools), your agents no longer just generate text; they now ...

Abstract: In modern society, science and technology has become the core competitiveness of a company or a country. Discovering the development trajectory a technological domain is of great ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI ...