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 ...

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 ...

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 ...

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 ...

Data science has an unusual marketing problem. The role is consistently described using its most glamorous applications — ...

DataHub is introducing a new context intelligence layer that mines years of SQL query logs to help AI agents stop ...

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 ...

Duties: Understanding of both business, operations and supply chain systems Ability to read and interpret reports, dashboards, and KPIs Engaging cross-functional teams Proficient in handling large ...