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Michael Krigsman에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Michael Krigsman 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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What is Google's Agentic AI Strategy? (Explained by Google Cloud's CTO) | CXOTalk #897

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Manage episode 514265411 series 125544
Michael Krigsman에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Michael Krigsman 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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

  continue reading

573 에피소드

Artwork
icon공유
 
Manage episode 514265411 series 125544
Michael Krigsman에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Michael Krigsman 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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

  continue reading

573 에피소드

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