We use AI agents to scan every code change that we deploy onto our infrastructure, preventing vulnerabilities from reaching production.
In the borderless Lakehouse, cross-cloud caching reduces data transfers, and BigQuery cross-cloud connections enables querying data in other clouds.
Discover how state and local agencies use Google Cloud AI to break data silos and modernize public services. Join us at the GPS Summit Oct 20.
At the DevFest Community Workshop, we spent one intense day building long-running, self-evolving multi-agent systems powered by Google's agentic stack. Ricky Robinett, Senior Director of Developer ...
A native BM25 index in AlloyDB and Cloud SQL provides full-text retrieval without having to provision, manage, or pay for separate systems.
With the Build with Gemini event series underway, Google Cloud Consulting is seeing more leaders rethink AI enablement by building quick, daily practice into their teams' routines. In this post, we'll ...
Protecting capital in today's markets requires immense speed and precision. A financial analyst preparing a deal memo works across licensed market data, internal models, and confidential client files.
The reinforcement learning (RL) ecosystem is rapidly adopting Ray as the unified compute runtime for complex post-training workflows. Across Google Cloud, we see customers using Ray for workloads ...
For the ninth consecutive year, Gartner® has named Google a Leader in the Gartner Magic Quadrant™ for Strategic Cloud Platform Services, positioned furthest for Completeness of Vision. We believe this ...
Editor's note: A product image was updated after initial publication. As AI takes on more complex work, business leaders face a new challenge: enabling rapid innovation using agents while protecting ...