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.

Actian’s Ole Olesen-Bagneux explains why AI agents need metadata, lineage, context, and governance before enterprises can ...

Dune Analytics has introduced a unified dataset that brings together data from Polymarket and Kalshi, offering a valuable new ...

Durable workflow engine Obelisk argues a SQLite file plus Litestream backup can replace Amazon SQS and RabbitMQ for AI agent workflows and tenant-isolated pipelines. The open-source, pre-release ...

We explore how artificial intelligence is being integrated into network management tools, and the challenges it presents.

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 ...

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 ...

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 ...

Cloud-native data analytics startup Sigma Computing Inc. has closed on an $80 million Series E funding round that doubles its ...