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What Google Cloud Can Teach Enterprises Developing & Rolling Out AI Tools, With Kawal Gandhi
FromNo Priors: Artificial Intelligence | Technology | Startups
What Google Cloud Can Teach Enterprises Developing & Rolling Out AI Tools, With Kawal Gandhi
FromNo Priors: Artificial Intelligence | Technology | Startups
ratings:
Length:
33 minutes
Released:
Oct 19, 2023
Format:
Podcast episode
Description
As the Lead for Generative AI in the Office of the CTO Office of the CTO for Google Cloud, Kawal Gandhi has a unique vantage point on enterprise AI roll out. Sarah Guo and Elad Gil sit down with Gandhi this week to discuss his insights on how enterprises can effectively invest and roll out AI development and tools, the best use cases for Google Colab TPU, and Google’s internal AI applications driving external customer success. Plus, when will email get more efficient?
Kawal Gandhi works in the Office of the CTO of Google Cloud, where his main focus is AI/ML. He 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:
Kawal Gandhi | LinkedIn
Google Cloud
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil |@geeztweets
Show Notes:
(00:00) - Generative AI in Google Cloud
(07:13) - AI Adoption for Enterprise
(13:28) - Multimodal AI Models
(15:07) - AI Adoption, Investment Cost, Anti-patterns
(23:26) - Google's TPU and NVIDIA GPU shortage
(28:13) - Data Marketplace and Model Training
Kawal Gandhi works in the Office of the CTO of Google Cloud, where his main focus is AI/ML. He 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:
Kawal Gandhi | LinkedIn
Google Cloud
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil |@geeztweets
Show Notes:
(00:00) - Generative AI in Google Cloud
(07:13) - AI Adoption for Enterprise
(13:28) - Multimodal AI Models
(15:07) - AI Adoption, Investment Cost, Anti-patterns
(23:26) - Google's TPU and NVIDIA GPU shortage
(28:13) - Data Marketplace and Model Training
Released:
Oct 19, 2023
Format:
Podcast episode
Titles in the series (64)
What is the role of academia in modern AI research? With Stanford Professor Dr. Percy Liang: When AI research is evolving at warp speed and takes significant capital and compute power, what is the role of academia? Dr. Percy Liang – Stanford computer science professor and director of the Stanford Center for Research on Foundation Models talks about training costs, distributed infrastructure, model evaluation, alignment, and societal impact. Sarah Guo and Elad Gil join Percy at his office to discuss the evolution of research in NLP, why AI developers should aim for superhuman levels of performance, the goals of the Center for Research on Foundation Models, and Together, a decentralized cloud for artificial intelligence. by No Priors: Artificial Intelligence | Technology | Startups