The new capabilities aim to help developers simplify enterprise data retrieval, maintain agent context across sessions, and ...
"I connected an AI agent to a database and asked it to 'get last month's net sales,' and it wrote and executed the SQL in ...
As enterprises race to connect AI agents to their most sensitive data, Oracle database tools specialist Jeff Smith is making a contrarian case: ...
Perhaps we no longer need to spend dozens of hours creating dashboards.Until now, building BI dashboards required a ...
Every AI stack has choke points. Most are traps.
NVIDIA has open-sourced Auto Ontology, a framework designed to make AI agents more reliable when querying enterprise databases using natural-language instructions. The system creates a semantic layer ...
A new reinforcement learning optimizer called LIGHT uses dynamic graph attention and logarithmic reward shaping to cut query ...
The best AI data visualization tools in 2026 are Julius AI for chat-based analysis without code, Tableau with AI for enterprise-grade dashboards, Hex for ...
AI Analytics Assistants help software teams query data in natural language, uncover insights faster, and reduce manual SQL ...
Michael Stonebraker and Bruce Momjian argue enterprise AI needs open, controllable databases. Stonebraker's MIT benchmark ...
Give AI agents the definitions you already trust. Knowledge Catalog ingests Looker, BigQuery, dbt, Snowflake, Databricks, and ...
Michael Stonebraker and Bruce Momjian on why enterprise AI needs a database that no one controls, and what PostgreSQL 19 says ...
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