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

Please support our sponsor Emeritus: Explore executive education programs from Emeritus, in collaboration with top universities: https://cxotalk.partner.emeritus.org/ ======= 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 🔷 Newsletter: www.cxotalk.com/subscribe 🔷 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