DataHub's Context Intelligence mines validated SQL query history to build a semantic index for AI agents. At Miro, agents hit a 65% error rate without it.

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

D&B rebuilt its Commercial Graph of 642 million businesses so AI agents can verify business identity in real time — without ...

Unravel Data, the data platform optimization company, today unveiled Arvix AI, an agentic engine that autonomously tunes and optimizes across Databricks, Snowflake, and BigQuery. Built upon a decade ...

DataHub, the leading context platform company, today introduced a major new release of DataHub Cloud that can ingest, structure, improve and serve trusted context to analytics agents, dramatically ...

A threat actor targeting Microsoft 365 and Azure production environments is stealing data in attacks that abuse legitimate ...

For most enterprise technology leaders, artificial intelligence has become the top strategic priority. The results have been ...

Without strong data governance, AI doesn't just scale innovation—it scales risk, amplifying data quality issues, compliance exposure, bias, and untrusted outcomes across the organization. Instead of ...

Microsoft says Storm-2949 targets Microsoft 365 and Azure environments using MFA abuse, password resets, and cloud data theft ...

Storm-2949 turned stolen credentials into a cloud-wide breach, moving from identity compromise to large-scale data theft ...

Goes beyond traditional RAG knowledge bases by accumulating conversations, work records, decision context, and outputs generated by AI agents Converts scattered documents, files, databases, and ...

AI agents can’t just guess what your data means; they need an "ontology" to act as a shared rulebook so they don't make confident, expensive mistakes.