Will Grannis
Founder and leader of Google Cloud’s CTO Office, a team of senior engineers fostering collaborative innovation between Google and its largest customers. He has a background as an entrepreneur, enterprise technology executive, and investor, building and scaling technical platforms.
Top 3 podcasts with Will Grannis
Ranked by the Snipd community
37 snips
Oct 17, 2025 • 50min
What is Google's Agentic AI Strategy? (Explained by Google Cloud's CTO) | CXOTalk #897
Will Grannis, the Chief Technology Officer at Google Cloud, dives into the future of AI, focusing on Google's vision for agentic AI. He discusses how regulated industries can leverage documented workflows for quicker AI adoption. Grannis highlights the importance of integrating multimodal AI into customer support, showcasing its potential to transform problem-solving. He emphasizes the need for continuous improvement, the role of human oversight in critical tasks, and the value of using domain-specific data to gain a competitive edge.
32 snips
Apr 9, 2025 • 58min
#246 Will Granis: How Google Cloud is Powering the Future of Agentic AI
Will Grannis, CTO of Google Cloud, shares insights on the revolutionary landscape of agentic AI. He discusses how multi-agent systems can streamline tasks like expense automation and enhance operational workflows. Grannis highlights the importance of trust in AI, emphasizing secure agent management and the potential for scientific discovery. He also explains how large organizations can leverage their data for agility, comparing their pace to startups. This conversation redefines our understanding of AI's future, focusing on autonomy and innovation in technology.
9 snips
May 1, 2025 • 38min
Google Cloud CTO on LLM Demand Surge, Use Cases
Will Grannis, Chief Technology Officer of Google Cloud, shares insights on the explosive demand for large language models like Gemini, boasting a 40x growth in usage. He highlights Google's Ironwood TPU, designed to enhance efficiency and performance significantly. The conversation dives into versatile use cases for AI across industries, emphasizing seamless integration and customer customization. Grannis also touches on the importance of authoritative data in AI applications and tackles future trends and market metrics in the ever-evolving tech landscape.
