Task-Based vs Role-Based Agents

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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

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

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🔷 LinkedIn: www.linkedin.com/company/cxotalk

🔷 Twitter: twitter.com/cxotalk

#agenticai #cxotalk #googlecloud

Chapters:

00:00 🤖 Google's AI Strategy and Agent Development

04:07 🌐 Gemini Enterprise: Google's Unified AI Platform

08:21 📈 Best Practices for Agent Deployment and Future Trends

11:25 📡 Modernizing Customer Support with Multimodal Experiences

13:24 🤖 AI as a Judge: Evaluating and Automating Decision Processes

16:55 🔧 Continuous Improvement Through Small Adjustments

17:15 🤖 The Evolution and Challenges of AI Agents

18:57 🛠️ Task-Specific vs. Role-Based AI Agents

25:00 🏢 Organizational Challenges in AI Agent Implementation

28:58 🤖 Customizing AI for Industry-Specific Applications

31:20 🌐 Practical AI Integration for Businesses and Public Services

38:24 🚀 Challenges and Success Factors in AI Deployment

41:27 🤝 The Role of Leaders in AI Adoption

43:25 🌌 Multimodal AI and NanoBanana

45:17 🔮 Practical AI Development and Future Trends