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What is Google's Agentic AI Strategy? (Explained by Google Cloud's CTO) | CXOTalk #897

10/17/2025
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Will Grannis, Chief Technology Officer of Google Cloud, explains Google's vision for agentic AI and multimodel LLMs, including these key topics on CXOTalk #897:

-- The latest AI news from Google

-- Why "AI as judge" determines whether your agent deployment scales or stalls

-- How regulated industries have an unexpected advantage in agent adoption

-- The hidden organizational rules that break agent workflows

-- Why generic AI models alone provide zero competitive differentiation

-- How multimodal AI changes customer support from chat to visual problem-solving

-- The evaluation architecture behind successful agent deployments

-- Why CEOs must participate directly in AI experimentation


๐Ÿ”ท Show notes and resources: https://www.cxotalk.com/episode/google-clouds-cto-inside-the-ai-strategy

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๐Ÿ”ท LinkedIn: www.linkedin.com/company/cxotalk

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#agenticai #cxotalk #googlecloud


Chapters:

00:00 ๐Ÿค– Google's AI Strategy and Agent Development

04:07 ๐ŸŒ Gemini Enterprise: Google's Unified AI Platform

08:21 ๐Ÿ“ˆ Best Practices for Agent Deployment and Future Trends

11:25 ๐Ÿ“ก Modernizing Customer Support with Multimodal Experiences

13:24 ๐Ÿค– AI as a Judge: Evaluating and Automating Decision Processes

16:55 ๐Ÿ”ง Continuous Improvement Through Small Adjustments

17:15 ๐Ÿค– The Evolution and Challenges of AI Agents

18:57 ๐Ÿ› ๏ธ Task-Specific vs. Role-Based AI Agents

25:00 ๐Ÿข Organizational Challenges in AI Agent Implementation

28:58 ๐Ÿค– Customizing AI for Industry-Specific Applications

31:20 ๐ŸŒ Practical AI Integration for Businesses and Public Services

38:24 ๐Ÿš€ Challenges and Success Factors in AI Deployment

41:27 ๐Ÿค The Role of Leaders in AI Adoption

43:25 ๐ŸŒŒ Multimodal AI and NanoBanana

45:17 ๐Ÿ”ฎ Practical AI Development and Future Trends

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