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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
๐ท Show notes and resources: https://www.cxotalk.com/episode/google-clouds-cto-inside-the-ai-strategy
๐ท Newsletter: www.cxotalk.com/subscribe
๐ท LinkedIn: www.linkedin.com/company/cxotalk
๐ท Twitter: twitter.com/cxotalk
#agenticai #cxotalk #googlecloud
Chapters:
00:00 ๐ค Google's AI Strategy and Agent Development
04:07 ๐ Gemini Enterprise: Google's Unified AI Platform
08:21 ๐ Best Practices for Agent Deployment and Future Trends
11:25 ๐ก Modernizing Customer Support with Multimodal Experiences
13:24 ๐ค AI as a Judge: Evaluating and Automating Decision Processes
16:55 ๐ง Continuous Improvement Through Small Adjustments
17:15 ๐ค The Evolution and Challenges of AI Agents
18:57 ๐ ๏ธ Task-Specific vs. Role-Based AI Agents
25:00 ๐ข Organizational Challenges in AI Agent Implementation
28:58 ๐ค Customizing AI for Industry-Specific Applications
31:20 ๐ Practical AI Integration for Businesses and Public Services
38:24 ๐ Challenges and Success Factors in AI Deployment
41:27 ๐ค The Role of Leaders in AI Adoption
43:25 ๐ Multimodal AI and NanoBanana
45:17 ๐ฎ Practical AI Development and Future Trends
