Query Apache Iceberg tables stored in cloud storage directly from AlloyDB and join them with live operational data in a ...

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 ...

As enterprises race to connect AI agents to their most sensitive data, Oracle database tools specialist Jeff Smith is making a contrarian case: ...

To an outsider, the job of a hospital systems engineer writing SQL looks like 'sending SQL to a database and retrieving the ...

A new reinforcement learning optimizer called LIGHT uses dynamic graph attention and logarithmic reward shaping to cut query ...

Learn how to query Databricks Iceberg tables with Lakehouse runtime catalog through bi-directional federation with Databricks ...

This review ranks ten providers across those layers. CoinStats API leads as the data layer that fits most crypto use cases.

Malek Damiri's golden-question exam for AI agents that query revenue data: grade the numbers, not the SQL. Runnable Python ...

Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise ...

NRR is easy to inflate by accident. Runnable SQL for net and gross revenue retention, the retention bridge, a monthly trend, ...

There is a failure mode in enterprise AI that is harder to spot than a wrong answer — and far  more dangerous. It is an answer that looks correct but is not.

Data platforms make decisions all day. An SQL query keeps the rows over a threshold, matches a keyword, and joins two tables on a shared ID. A pipeline sends a failed job down a retry path. Rules like ...