These five AI image-editing prompts can help improve backgrounds, outfits, headshots, product photos, and image quality ...

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 ...

Discover 10 AI prompt templates for common workplace tasks, from emails to project plans, to boost productivity and ...

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 ...

Organizations that prioritize context alongside AI adoption will turn today's uncertainty into tomorrow's advantage.

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

A new Kyber ransomware operation is targeting Windows systems and VMware ESXi endpoints in recent attacks, with one variant ...

Google launches AI agent suite at Cloud Next 2026 with Workspace Studio, A2A protocol at 150 orgs, and Project Mariner. The pitch: only Google owns the full stack.

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

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.

Connected to your tools and work: New Model Context Protocol (MCP) connectors (generally available soon) allow Snowflake Intelligence to connect directly with enterprise tools like Gmail, Google ...

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 ...