No Priors: Artificial Intelligence | Technology | Startups
What Google Cloud Can Teach Enterprises Developing & Rolling Out AI Tools, With Kawal Gandhi
Oct 23, 2023
Kawal Gandhi, Google Cloud's Lead for Generative AI, shares his extensive experience from nearly a decade in search and ads at Google. He discusses the importance of investing in AI for enterprises and reveals innovations like document generation and email assistance in Google's tools. Gandhi also dives into the challenges of model training, the role of TPUs, and the future of AI in various industries. Insights on multimodal applications and the crucial elements for successful AI adoption make this an enlightening conversation.
32:37
Episode guests
AI Summary
Highlights
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- The integration of AI into Google Cloud was driven by customer needs for improved latency, high response, and better data experiences.
- Multimodality, where text, images, and audio are combined, is identified as an emerging trend in AI adoption across various industries.
Deep dives
Working on Cloud and AI at Google
The lead for generative AI at Google Cloud discusses his transition from working on search and ads to cloud and AI. He explains how the demand for storage, compute, and infrastructure from advertisers led to the development of smart analytics and machine learning pipelines. The focus then shifted to generative AI, aiming to enhance customer experiences with personalized information. The integration of AI into Google Cloud was driven by customer needs for improved latency, high response, and better data experiences. Internal use cases, such as document summarization and email generation, paved the way for external product features and services.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
