All news with #vertex ai tag

Mr. Cooper and Google Cloud Build Multi-Agent AI Team

🤖 Mr. Cooper partnered with Google Cloud to develop CIERA, a modular agentic AI framework that assembles specialized agents to support mortgage servicing representatives and customers. The design assigns distinct roles — orchestration, task execution, data retrieval, memory, and evaluation — while keeping humans in the loop for verification and personalization. Built on Vertex AI, CIERA aims to reduce research time, lower average handling time, and preserve trust and compliance in regulated workflows.

Google Cloud's Differentiated AI Stack Fuels Startups

🚀 Google Cloud highlights how its differentiated AI tech stack is accelerating startup innovation worldwide, with nine of the top ten AI labs, most AI unicorns, and more than 60% of generative AI startups using its platform. Startups are leveraging Vertex AI, TPUs, multimodal models like Veo 3 and Gemini, plus services such as AI Studio and GKE to build agents, generative media, medical tools, and developer platforms. Programs like the Google for Startups Cloud Program provide credits, mentorship, and engineering support to help founders scale.

BigQuery scalability and reliability upgrades for Gen AI

🚀 Google Cloud announced BigQuery performance and usability enhancements to accelerate generative AI inference. Improvements include >100x throughput for first-party text generation and >30x for embeddings, plus support for Vertex AI Provisioned Throughput and dynamic token batching to pack many rows per request. New reliability features—partial-failure mode, adaptive traffic control, and robust retries—prevent individual row failures from failing whole queries and simplify large-scale LLM workflows.

California Modernizes Public Services with Google Cloud

🚀 California is partnering with Google Cloud to modernize state and local services by applying AI, security, and infrastructure solutions. Agencies such as Covered California use Document AI, Assured Workloads, and AI-driven security to speed eligibility decisions and protect sensitive data. Universities including UCR and Caltech are using Vertex AI and AI-optimized HPC for research acceleration. Workspace, Gemini, and Agentspace are cited as productivity and information-management enablers.

Data Science Agent Adds BigQuery ML, DataFrames, and Spark

🧭 Google Cloud has expanded the Data Science Agent in Colab Enterprise notebooks to support BigQuery ML, BigQuery DataFrames and Spark, enabling large-scale data transformation, model training, and inference directly on BigQuery or via Serverless for Apache Spark. The agent can now auto-retrieve BigQuery table metadata and lets you add tables via an @ mention from your current project to provide prompt context. To invoke frameworks, include keywords such as BigQuery ML, BigFrames, or PySpark; sample prompts are provided to guide forecasting, supervised learning, and dimensionality reduction workflows. Notable limitations: generated PySpark targets Spark 4.0 and @ mentions only search the current project; BigQuery improvements are available now in BigQuery notebooks and coming soon to Vertex AI.

Gemini and Open-Source Text Embeddings Now in BigQuery ML

🚀 Google expanded BigQuery ML to generate embeddings from Gemini and over 13,000 open-source text-embedding models via Hugging Face, all callable with simple SQL. The post summarizes model tiers to help teams trade off quality, cost, and scalability, and introduces Gemini's Tokens Per Minute (TPM) quota for throughput control. It shows a practical workflow to deploy OSS models to Vertex AI endpoints, run ML.GENERATE_EMBEDDING for batch jobs, and undeploy to minimize idle costs, plus a Colab tutorial and cost/scale guidance.

Google Cloud and SAP: Unified Data, AI Agents, and HANA

🚀 Google Cloud and SAP announced tighter integration to unify enterprise data and accelerate intelligent automation. SAP Business Data Cloud now connects to BigQuery via Datasphere, enabling bidirectional replication and AI-ready analytics. Procurement is simplified on the Google Cloud Marketplace with SAP BTP. New agent tooling—Agentspace, the Agent Development Kit, A2A and MCP standards—and expanded M4 memory-optimized VMs certified for SAP HANA aim to speed deployments, improve data consistency, and enable autonomous process automation.

New Practical Guide to Data Science with Google Cloud

📘 Google Cloud has published a new ebook, A Practical Guide to Data Science with Google Cloud, aimed at practitioners adopting an AI-first approach across BigQuery, Vertex AI, and Serverless for Apache Spark. The guide emphasizes unified, streamlined workflows enabled by a central notebook experience that blends SQL, Python, and Spark and includes assistive features in Colab Enterprise to generate multi-step plans and code. It explains how a unified data foundation lets teams manage structured and unstructured data together and use familiar SQL to process documents and images. The ebook also offers real-world use cases with linked notebooks so practitioners can run the examples and accelerate delivery.

Conversational Commerce Agent on Vertex AI Released

🛒 Google Cloud announced general availability of the Conversational Commerce agent on Vertex AI, a shopping-focused conversational assistant designed to guide customers from intent to purchase. The agent uses Gemini to interpret complex queries, supports context retention across sessions and devices, and offers administrative controls to boost, bury, or restrict products. Albertsons Cos. reports increased basket size in early use. Onboarding is presented as quick with minimal development effort via the Vertex AI console.

Google Cloud Releases Official Rust SDK for Developers

🚀 Google Cloud has released an official Rust SDK that provides idiomatic, supported access to more than 140 Google Cloud APIs. The SDK includes built-in authentication (ADC, OAuth2, API Keys, service accounts, and upcoming Workload Identity Federation), documentation, and code samples to streamline development. It targets high-performance backends, secure data processing, and real-time analytics, and the project is available on crates.io and GitHub for feedback and contributions.

Partner-built AI Security Innovations on Google Cloud

🔒 Google Cloud and its partners announced a range of partner-built AI security solutions now available in the Google Cloud Marketplace. These integrations embed Gemini and Vertex AI into partner products — including CrowdStrike, Palo Alto Networks, Fortinet, and others — to protect models, data, applications, and agents. The collaborations emphasize automated detection, incident response, DLP, identity protection, and agent monitoring to reduce mean time to detect and respond, helping customers adopt AI securely.

StreamSight: AI-Powered Music Royalty Forecasting Tool

🔍 StreamSight is an AI-driven application developed by BMG in partnership with Google Cloud to improve transparency, speed, and accuracy in digital royalty forecasting and anomaly detection. The solution leverages BigQuery ML models (including ARIMA_PLUS and BOOSTED_TREE), uses Vertex AI and Python for training, and surfaces results in Looker Studio dashboards. It flags missing sales periods, rights mismatches, and sudden streaming spikes to reduce manual review and help accelerate fairer payouts. Currently a proof of concept, StreamSight is positioned for broader DSP integrations and richer data inputs to extend its capabilities.

Agent Development Kit Hackathon: Winners and Highlights

🚀 The Agent Development Kit (ADK) Hackathon concluded with more than 10,400 participants from 62 countries, 477 submitted projects, and 1,500+ agents built. The competition emphasized multi-agent orchestration for automation, data analysis, customer service, and content generation, awarding SalesShortcut the Grand Prize. Regional winners included Energy Agent AI, Edu.AI, GreenOps, and Nexora-AI, and organizers pointed participants to ADK documentation and developer forums while announcing an upcoming GKE hackathon with over $50,000 in prizes.

Google Cloud: Monthly AI product and security update

🔔 This month Google Cloud expanded its AI stack across models, tooling, and security. Highlights include Gemini 2.5 Flash with native image generation and SynthID watermarking on Vertex AI, new Veo video models, the Gemini CLI, and a global Anthropic Claude endpoint. Google also published 101 gen‑AI blueprints, developer guidance for choosing tools, and security advances for agents and AI workloads.

What's New in Google Data Cloud: August Product Roundup

🔔 This Google Cloud roundup summarizes recent product milestones, GA launches, previews, and integrations across the data analytics, BI, and database portfolio. It highlights updates to BigQuery, Firestore, Cloud SQL, AlloyDB, and adjacent services aimed at easing ingestion, migration, and AI-driven operations. Notable items include MongoDB-compatible Firestore GA, PSC networking improvements for Database Migration Service, and a redesigned BigQuery data ingestion experience. The post also emphasizes resilience and DR enhancements such as immutable backups and Near Zero Downtime maintenance.

DLA Selects Google Public Sector for Cloud Modernization

☁️ Google Public Sector has been awarded a $48 million DLA Enterprise Platform contract to migrate the Defense Logistics Agency to a DoD‑accredited commercial cloud. The multi‑phased program will move key infrastructure and data to a modern, AI‑ready Google Cloud foundation and enable BigQuery, Looker, and Vertex AI analytics. Emphasizing secure‑by‑design infrastructure and Mandiant threat intelligence, the effort aims to reduce costs, improve resiliency, and accelerate AI‑driven logistics and transportation management.

Gemini Available On-Premises with Google Distributed Cloud

🚀 Gemini on Google Distributed Cloud (GDC) is now generally available for customers, bringing Google’s advanced Gemini models on‑premises with GA for air‑gapped deployments and a connected preview. The solution provides managed Gemini endpoints with zero‑touch updates, automatic load balancing and autoscaling, and integrates with Vertex AI and preview agents. It pairs Gemini 2.5 Flash and Pro with NVIDIA Hopper and Blackwell accelerators and includes audit logging, access controls, and support for Confidential Computing (Intel TDX and NVIDIA) to meet strict data residency, sovereignty, and compliance requirements.

GKE Turns Ten: New Pricing, Autopilot Enhancements

🎉 Google marks the tenth anniversary of Google Kubernetes Engine (GKE) by simplifying pricing and expanding capabilities. Starting September 2025, GKE moves to a single paid tier, GKE Standard, which includes multi-cluster features such as Fleets, Teams, Config Management, and Policy Controller at no extra cost, with additional capabilities available à la carte. Google is also making Autopilot toggleable per cluster and per workload and promoting a container-optimized compute platform designed to increase efficiency and performance for AI and large-scale services.

Gemini 2.5 Flash Image Arrives on Vertex AI Preview

🖼️ Google announced native image generation and editing in Gemini 2.5 Flash Image, now available in preview on Vertex AI. The model delivers state-of-the-art capabilities including multi-image fusion, character and style consistency, and conversational editing to refine visuals via natural-language loops. Built-in SynthID watermarking supports responsible, transparent use. Developers and partners report promising integrations and low-latency performance for real-time editing workflows.

What’s New in Google Cloud: Releases, Previews, and News

🔔 Google Cloud published a consolidated roundup of product releases and previews from early July through Aug 22, 2025, covering GA launches, public previews, and platform enhancements. Highlights include Earth Engine in BigQuery (GA), Vertex AI embedding scaling, new GKE features for NUMA alignment and swap, expanded NodeConfig controls, and Cloud Run with GPUs. Customers should review the linked documentation, request preview access via account teams where needed, and plan upgrades or migrations accordingly.