Break down the knowledge walls and say goodbye to time sinks with Conversational Analytics in BigQuery—in preview. Now you can create context- and business-aware agents right where the data lives, so that all users get smart insights, coached by trusted analysts, without ever having to wait for answers in a queue or learn SQL → https://goo.gle/4u0shc8
Google Cloud
Software Development
Mountain View, California 3,175,455 followers
Welcome to the new way to cloud.
About us
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
- Website
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https://cloud.google.com/
External link for Google Cloud
- Industry
- Software Development
- Company size
- 10,001+ employees
- Headquarters
- Mountain View, California
Updates
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At #MWC26, Spanish telecommunications provider MasOrange showcased a Proof of Concept (PoC) built with NetAI that uses GraphML and digital twins to drive fully managed AIOps. Take a look at how GraphML is redefining telecom operations → https://goo.gle/4r5Jj5L
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Xapo Bank achieved 85% generative AI adoption in just 8 weeks with Gemini Enterprise. For many financial institutions, security and governance can prevent AI adoption. Xapo Bank flipped the script with Google Cloud. The secret? Partnering with Google and Sakura Sky, Xapo built on its existing Google Cloud foundations to extend its 'frictionless governance' directly into its agentic and 3rd-party workflows. Because Xapo's agents automatically inherit the exact same RBAC and Data Lake policies as its employees, Xapo turned security into an innovation accelerator. This allowed Xapo to focus entirely on productivity, resulting in a seamless, high-speed rollout of cutting-edge tech that empowered its workforce without compromising its data. Learn how to accelerate outcomes with AI agents across teams → https://goo.gle/4cpFrJo
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On this week's livestream, we’re exploring Agent Skills like the recently released Agent Skills for Firebase with the help of Gemini CLI. Join host Greg Baugues and special guests Luke Schlangen and Joe Hanley on March 3 at 9 AM PT/12 PM ET.
Getting started with Agent Skills
www.linkedin.com
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Introducing Gemini 3.1 Flash-Lite, our fastest and most cost-efficient Gemini 3 series model. Built for high-volume developer workloads at scale, 3.1 Flash-Lite delivers high quality for its price and model tier. Plus, it outperforms 2.5 Flash with a 2.5X faster Time to First Answer Token and 45% increase in output speed. Starting today, 3.1 Flash-Lite is rolling out in preview to enterprises via Vertex AI and developers via the Gemini API in Google AI Studio. Learn more → https://goo.gle/40C9xSC
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We’re moving beyond simple automation into an agentic era where AI autonomously manages networks and resolves customer issues before they even happen. With MWC Barcelona underway, learn how we’re helping telecommunications companies wire intelligence into the core of their business: 🚀 Engineer autonomous networks (w/ Vodafone) ✨ Create proactive experiences (w/ Amdocs) 💰 Unlock new B2B growth (w/ Deutsche Telekom) See how it all comes together in our blog → https://goo.gle/3MCBjLC #MWC26
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With Gemini 3.1 Pro, you can bring disparate data into a single view, visualize complex topics, and solve challenges that require deep context and planning. Try it in preview → https://goo.gle/4rM63cf
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Gemini 3.1 Pro, Nano Banana 2, and more! Take a look at our latest news, tools, and resources released in February to help you build what’s next → https://goo.gle/4sd9UyS
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Did you know? With Conversational Analytics in BigQuery, you’re not limited to data in rows and columns. The agent can reason across unstructured data, such as images stored in BigQuery object tables. In this demo, see how the agent supports unstructured data. Then, check out our blog about all the new features of Conversational Analytics in BigQuery → https://goo.gle/3NemgI5
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Can you use Gemini to generate code samples at scale? We think so. This blog post first outlines the architecture of the sample-generating system and then shares 7 technical takeaways from the development process. Our seven takeaways—from decomposing the problem and embracing determinism to end-to-end testing and scaling the entire pipeline—show how we successfully built a reliable, scalable generation system that combines LLMs with established engineering practices. Take a closer look → https://goo.gle/46phxd5
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