研究與工具

Reinforcement learning (RL) has been a keystone of modern LLM post-training, but it demands large training clusters and access to model internals that external customers can't have with proprietary models like Gemini.

Following our announcement of Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking last week, we are thrilled to share that Gemini 3.8 Live with Live Avatar is now generally available in Gemini Enterpr

Blog authors: Andrés Lagar-Cavilla, Distinguished Engineer; Stella Voutsina, Sr. Technical Program Manager; Parthasarathy Ranganathan, VP, Engineering Fellow AI is accelerating software development at an unprecede

At Orange , the leading France-based multinational telecom provider, there are days when engineering teams set aside their delivery backlogs and spend the day cleaning up cloud spend together. There's a leaderboa

We are excited to share that Gartner has named Google a Leader in its inaugural 2026 Magic Quadrant for Enterprise AI Assistants . In this comprehensive evaluation of top enterprise AI assistant vendors, Gartne

For research and development (R&D) organizations, the promise of agentic AI is not a better one-time answer. It is a new way to explore complex scientific and engineering problems: pursuing multiple hypotheses, vali

When building consumer-facing generative AI applications,  balancing high generation quality with fast response times across diverse media types, can be challenging. KDDI, a major telecommunications carrier in Japan,

When Google's Finance Engineering team needed to modernize their legacy data layer, they chose Spanner , a globally distributed, strongly consistent, multi-model database with high availability capabilities. But

The recognition for Microsoft over the past couple of weeks comes down to models, infrastructure, data, applications, and developer tools working as one system when AI moves into production. The post Enterprise AI tr

AI models have clearly proven their ability to discover and exploit vulnerabilities without much, if any, human assistance. To help defenders gain the advantage with AI, we built the Mantis harness to automate the dis

Editor’s note : Want to keep up with the latest from Google Cloud? Check back here for a monthly recap of our latest updates, announcements, resources, events, learning opportunities, and more. In September

When Pythian rolled out Google Cloud’s Gemini Enterprise across our 500-person company in 27 countries, the goal was simple: use our own company as a proving ground to discover how enterprise AI actually d

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 their

Few professions are as exacting as the practice of law. A team reviewing a contract or building a case works inside strictly privileged information, firm-specific playbooks, and a body of law that changes constantly.

What if your cloud environment could help you move from insight to action in real time, with systems already working through the next set of decisions? The post From insight to action: The next phase of agentic cloud

At Microsoft Build 2026, AI moved from experimentation to execution—shifting from isolated tools to connected systems grounded in business data. Organizations that win will embed AI across workflows, scale it effectivel

We are building a comprehensive agent platform: one that supports many models, is open, and gives you flexibility at every layer of the stack. The post AI alone won’t change your business. The system running it will.

Together, Microsoft and SAP are helping enterprises transform operations, decision-making, and innovation at scale on Azure. The post Advancing enterprise AI: New SAP on Azure announcements from SAP Sapphire 2026 ap

Microsoft and Red Hat show how Azure Red Hat OpenShift powers modernization and production AI with secure, scalable enterprise governance. The post Red Hat Summit 2026: Platform modernization and AI on Microsoft Azur

Expanded preview access for Microsoft Discovery brings new enterprise-grade, agentic AI capabilities for research and development teams. The post Microsoft Discovery: Advancing agentic R&D at scale appeared firs

Discover how cloud cost optimization adapts in the age of AI, with best practices for managing spend, improving efficiency, and maximizing value. The post Cloud Cost Optimization: Principles that still matter appear