AI Briefing#google-cloud
The latest AI and developer news about #google-cloud, with the original source and a short summary.
The latest AI and developer news about #google-cloud, with the original source and a short summary.
Google AI Pro and Ultra subscribers can now claim monthly Google Cloud credits and set up billing directly within AI Studio without leaving the workspace.
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.
Organizations can now link their Hugging Face account to Google Cloud to consolidate billing and avoid new vendor onboarding.
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.
Developers can prompt Gemini to build map-based apps directly in AI Studio, with automatic credential linking and free daily quotas.
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 update extends native video generation from 10 to 15 seconds and reduces costs by 30% compared to Omni 1.1, with general availability on the Gemini API and Google Cloud.
Enterprise users can deploy LlamaParse in their own AWS, Azure, Google Cloud, or Kubernetes environments, with flexible options for managing model inference.
LangChain manages the data plane infrastructure while keeping traces, evals, and agent deployments in the customer's own cloud account.
The release adds a spend caps API for programmatic control, live estimated cost reports for AI services, and automated monthly resets for blocked usage.
A three-step framework uses spend limits, OpenTelemetry tracking, and impact metrics to optimize costs and demonstrate business value.
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.
New features include a Decisions API for efficient routing, zero-cost voice design, and GPT-Live-1.1 for faster real-time responses.
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 offering provides day-zero access to new Claude features, uses existing Google Cloud IAM credentials, and draws down existing Google Cloud commitments.
The partnership allows enterprises to purchase OpenAI models via Google Cloud Marketplace and use them in Google Antigravity and Gemini Agent, with general availability planned in the coming weeks.