Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

Oracle Corp. is extending its partnership with Google LLC’s Cloud to simplify how enterprise users interact with data, ...

Oracle has expanded its partnership with Google Cloud to give joint customers new ways to operationalize AI across enterprise data. Under the expanded partnership, the Oracle AI Database Agent for ...

An ODBC driver acts as a translator, allowing your favorite desktop and server applications to 'speak' to the HubSpot API as ...

Google Cloud is turning the traditional enterprise data platform on its head, unveiling the Agentic Data Cloud infrastructure ...

Nearly every major product family needs immediate patching, from Windows to Office to Microsoft Edge, SQL Server, and even ...

Every secure API draws a line between code and data. HTTP separates headers from bodies. SQL has prepared statements. Even email distinguishes the envelope from the message. The Model Context Protocol ...

A new bank, eNL Mutual (previously YWBN), took swift action to plug a data breach after an IT consultant contracted to ...

Domo today announced that its AI and Data Products Platform is now available on Google Cloud Marketplace, enabling organizations to quickly purchase, deploy, and scale Domo directly within Google ...

Snowflake Intelligence gains automation features, while Cortex Code will be able to access more data sources in more ways.

TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.

Enterprises are struggling to scale agentic AI. Here’s what’s holding them back and what it takes to move from pilots to production. The post Agentic AI: Scaling from pilots to production appeared ...