
Sign up to save your podcasts
Or
As the Lead for Generative AI in the Office of the CTO for Google Cloud, Kawal Gandhi has a unique vantage point on enterprise AI rollout. Sarah Guo and Elad Gil sit down with Gandhi this week to discuss his insights on how enterprises can effectively invest in AI development, the importance of TPUs, and Google’s internal AI applications. Plus, when will email get more intelligent?
Kawal Gandhi has worked at Google for nearly a decade in search and ad roles before focusing on the development and marketing of AI tools.
Show Links:
Sign up for new podcasts every week. Email feedback to [email protected]
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @geeztweets
Show Notes:
(00:00) - Generative AI in Google Cloud
(09:05) - AI Adoption in the Enterprise
(13:31) - Multi-Modal AI Models
(16:19) - AI Adoption, return-on-investment, anti-patterns
(24:43) - Google's TPU and NVIDIA GPU shortage
(31:00) - Data Marketplace and Model Training
4.4
114114 ratings
As the Lead for Generative AI in the Office of the CTO for Google Cloud, Kawal Gandhi has a unique vantage point on enterprise AI rollout. Sarah Guo and Elad Gil sit down with Gandhi this week to discuss his insights on how enterprises can effectively invest in AI development, the importance of TPUs, and Google’s internal AI applications. Plus, when will email get more intelligent?
Kawal Gandhi has worked at Google for nearly a decade in search and ad roles before focusing on the development and marketing of AI tools.
Show Links:
Sign up for new podcasts every week. Email feedback to [email protected]
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @geeztweets
Show Notes:
(00:00) - Generative AI in Google Cloud
(09:05) - AI Adoption in the Enterprise
(13:31) - Multi-Modal AI Models
(16:19) - AI Adoption, return-on-investment, anti-patterns
(24:43) - Google's TPU and NVIDIA GPU shortage
(31:00) - Data Marketplace and Model Training
1,273 Listeners
1,040 Listeners
519 Listeners
441 Listeners
192 Listeners
88 Listeners
426 Listeners
50 Listeners
75 Listeners
135 Listeners
461 Listeners
31 Listeners
22 Listeners
43 Listeners
35 Listeners