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.

Overview: AI-driven SQL tools reduce query creation time from 20 minutes to seconds, helping teams answer business questions ...

For CISOs evaluating AI, the key question is whether a model truly understands the environment it operates in.

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.

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

Avada Flaw Widens Wordpress Security Risk Arabian Post. clearfix>Two vulnerabilities in the Avada Builder plugin have exposed around one million WordPress websites to attacks that could reveal ...

Vector database pioneer Pinecone recognizes this and is pivoting to meet the specific needs of agentic AI. The company today announced Nexus, which it positions as a knowledge eng ...

Self-service analytics promises faster answers, yet many organizations end up with conflicting dashboards, duplicated or leaky data, and renewed reliance on IT. The issue is not control versus ...

DataHub is introducing a new context intelligence layer that mines years of SQL query logs to help AI agents stop making basic mistakes when working with enterprise data. The company says the approach ...

Perplexity is advancing Computer into enterprise analytics with a new data science-focused release that integrates the agentic workspace with live company data in Snowflake and Databricks. This ...