The new framework captures telemetry from first-party and custom agents into BigQuery, enabling teams to track reasoning, control token costs, and evaluate accuracy before deployment.
The new certification uses a hybrid format combining a proctored multiple-choice exam with hands-on labs to validate skills in building secure, production-ready agents.
The new functions run on PostgreSQL 18 via the google_ml_integration extension (v1.6.1+) and use smart batching to reduce latency and token costs.
The solution integrates EHR and billing systems via a secure orchestration layer, available in preview in the US.
A survey of 1,250 IT decision-makers found that on-premises maintenance creates a zero-sum game, diverting resources from AI modernization to legacy patching.
The feature decouples logical TPU slice formation from physical nodepool provisioning using optical circuit switching to improve fleet utilization.
The campaign, described as 95% AI-generated, aired across major Spanish TV channels using a serverless architecture built on Cloud Run, Pub/Sub, and Vertex AI.
The preview feature supports BigQuery, Spanner, AlloyDB, Cloud SQL, and Looker, using Knowledge Catalog to enforce row- and column-level security.
The model supports clips up to 15 seconds long and offers 30% lower costs than its predecessor, with availability in Google Vids and via API.
The proof-of-concept modeled a $1.945 billion Term Loan B, using AI to convert legal agreements into executable gculpy contracts for near-instant settlement.
The new benchmark features 85 long-horizon tasks across mechanical, electrical, civil, and structural engineering, with the top-performing model reaching a mean score of 48.3%.
The release adds a spend caps API for programmatic control, live estimated cost reports for AI services, and automated monthly resets for blocked usage.
The model achieves 91.3% accuracy in pinpointing critical video events and supports multi-robot collaboration across various embodiments.
Crypto Finance Group completed a digital payments infrastructure pilot on Google Cloud Universal Ledger, demonstrating the feasibility of instant, bi-directional account-to-account transfers between two Swiss banks using deferred settlement.
The new suite uses MCP tools and Agent Skills to automate policy evaluation and troubleshoot 403 errors, reducing administrative overhead while maintaining security guardrails.
The new option allows developers to run Claude models with Anthropic as the data processor, providing immediate access to new platform features like Claude Managed Agents.
The platform now offers over 200 models on a unified enterprise AI platform, with OpenAI models rolling out in private preview to select enterprise customers.
The models are available across Antigravity 2.0, CLI, and IDE extensions, billed pay-as-you-go rather than from pooled Gemini quotas.
The preview offers agencies skills, connectors, and partner agents with built-in governance for federal, state, and local workflows.
The inaugural assessment highlights Gemini's ability to deploy agents across enterprise surfaces with built-in governance and access to over 200 models.
The method addresses specific biases like verbosity and position bias, where LLM judges can flip verdicts or miss errors up to 75% of the time.
Google Cloud and RemotiveLabs enable full virtual vehicle development on Arm-based infrastructure, using RemotiveTopology to simulate the full electrical and electronic architecture.
The pattern separates cognitive reasoning from GPU-intensive execution using NVIDIA NIMs on GKE and Gemini platform governance.
The lessons, derived from the Google Cloud Developer plugin, emphasize grading execution trajectories over final text and running live versus plan-only tests side-by-side.
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