Deploying your AI efficiently and at scale? We have a how-to for that. Grounding your AI in your enterprise data? We have a how-to for that, too. Looking for a collection of new architecture guides, quick tutorials, explainers, and more? Check out our latest newsletter for a collection of how-tos on building a RAG-capable app using Vertex AI services, fine-tuning video inputs on Vertex AI, and more ↓
Google Cloud
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Mountain View, California ผู้ติดตาม 2,867,361 คน
Welcome to the new way to cloud.
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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.
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https://cloud.google.com/
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- Mountain View, California
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Today is a good day to try Gemini 2.5 Flash-Lite. Why? It's our most cost-efficient and fastest 2.5 model yet, *and* you can try it on Vertex AI today! Gemini 2.5 Flash-Lite is ideal for tasks like classification, translation, intelligent routing, and other cost-sensitive, high-scale operations. Learn more → https://goo.gle/3TVMVt0
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Build live voice-driven agentic applications with Vertex AI Gemini Live API! Unlike solutions relying on single data types, it leverages multimodal data—audio, visual, and text—in a continuous livestream. This enables intelligent assistants that truly understand and respond to the diverse needs of industry professionals across sectors like manufacturing, healthcare, energy, and logistics. Here's a use case focused on industrial condition monitoring, specifically motor maintenance, powered by Gemini 2.0 Flash Live API → https://goo.gle/4f3dmqn
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เข้าถึงเนื้อหานี้และอื่น ๆ อีกมากมายในแอพ LinkedIn
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In Atlanta for this year’s Major League Baseball (MLB) #AllStarGame, Google Cloud and Statcast used gen AI to predict where home runs might land — down to the seat. Messages powered by Gemini 2.5 Pro and Vertex AI ran live in-stadium and on rolling billboards across Atlanta, combining player data, map data, and real-world factors. The result? Completely new stats for stats-obsessed fans. Catch the full story behind how we brought gen AI to the ballpark and the streets of Atlanta in our recap blog → https://goo.gle/3H0Tvvg
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Ready to put AI agents to work? From marketing to coding to deep research to product innovation, learn 10 practical examples for putting AI agents to work, along with real-world use cases and insights into how Google Agentspace can help you get up and running with agentic AI → https://goo.gle/4kuTYDG
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For Ulta Beauty, staying ahead in the dynamic world of beauty retail requires more than just the hottest trends—it demands agility, data-driven insights, and seamless customer experiences. Take a look at how Ulta Beauty redefines beauty retail with two key initiatives built on BigQuery: 1) an enterprise data warehouse transformation with Darwin, its new analytics platform 2) a goal to empower store associates with MIA (Modern Inventory Application) Read our blog to dive deeper into its makeover → https://goo.gle/3TIzxsc
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Gemini Code Assist now shares the same technology with Gemini CLI → https://goo.gle/4nROHcd In VS Code, you can place any prompt into the chat window using agent mode, and Code Assist will relentlessly work on your behalf to write tests, fix errors, build out features or even migrate your code. Based on your prompt, Code Assist’s agent will build a multi-step plan, auto-recover from failed implementation paths and recommend solutions you may not have even imagined. See how Gemini Code Assist’s chat agent expands the capabilities of simple-command response interactions ⬇️
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Lock it in: The Security #GoogleCloudSummit is August 19! Join us to learn the best ways to make Google part of your security team and to achieve stronger security outcomes with the comprehensive capabilities of Google Unified Security—our converged security solution powered by AI. Register today → https://goo.gle/46efaul
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Adopting the Agent2Agent (A2A) Protocol can lead to significant advantages: ➡️ Increased Interoperability: Break down silos between different AI agent ecosystems, allowing agents from various vendors and frameworks to work together. ➡️ Enhanced Agent Capabilities: Allow developers to create more sophisticated applications by composing the strengths of multiple specialized agents. ➡️ Reduced Integration Complexity: Standardize the "how" of agent communication, allowing teams to focus on the "what" – the value their agents provide. ➡️ Fostering Innovation: Encourage the development of a richer ecosystem of specialized agents that can readily plug into larger collaborative workflows. ➡️ Future-Proofing: Provide a flexible framework that can adapt as agent technologies continue to evolve.
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เข้าถึงเนื้อหานี้และอื่น ๆ อีกมากมายในแอพ LinkedIn
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Agentic AI is set to create a ~$1T global market for partners; however, leading in the agentic era means moving beyond technology implementation. Here are 5 core principles to help partners go from implementer to transformer → https://goo.gle/4kIC3cP