Google Cloud stories
The centre is aimed at helping consumer firms turn AI pilots into operational tools for retail, travel and supply-chain tasks.
Cloud-based testing could cut prototype costs as Panasonic Automotive brings cockpit software validation closer to production hardware.
Businesses could cut AI data-handling costs sharply as NetApp adds DataPelago's zero-copy processing to its storage platform.
Developers can now use Google Cloud's examples to build and govern Gemini-powered agents for approvals, compliance and data workflows.
The preview could ease multi-region compliance headaches by letting organisations apply column-level security through global tags and regional policies.
Enterprises are turning to AI agents that can handle complex service requests, raising the stakes for vendors competing on reliability and governance.
Developers are being told to trim AI context and automate routine checks as token-heavy workflows raise latency, errors and cloud costs.
The framework targets CISOs and platform teams as they move AI systems into production, amid rising risks from prompts, models and outputs.
Security teams are being warned to keep humans and strict controls in place as AI agents can miss context and leak sensitive code.
The new workflow could cut model migration from months to hours, easing the testing burden for businesses running multiple AI features.
Notebook users can now query local pandas data with SQL and pass results back to Python, reducing data shuffling in analytics workflows.
Defenders could gain a faster edge against AI-driven attacks as Google Cloud ties Gemini, Wiz, CodeMender and Mandiant into one platform.
The move could help organisations curb cloud admin account abuse by revoking elevated access automatically after approved sessions end.
Developers can now improve Chinese, Japanese and Korean search in AlloyDB without external tokenisers, cutting preprocessing overhead for PostgreSQL users.
Security and staffing gaps are slowing enterprise rollouts, with networking now emerging as a key bottleneck for agentic AI projects.
The move could help IT teams track staff use, audit access and compliance risks across large Gemini Enterprise roll-outs without bespoke tools.
Exposed serverless apps can let attackers steal tokens, read secrets and take over cloud projects if weak code is left unpatched.
The ranking could help Google win enterprise AI contracts as buyers demand secure, governed tools rather than standalone chatbots.
The update gives enterprises managed access to Anthropic's models with built-in failover, data residency and compliance controls for production AI use.
The move expands its cloud delivery network in Asia-Pacific as demand for AI and transformation projects drives hiring for engineers.
