No Priors: Artificial Intelligence | Technology | Startups

What Google Cloud Can Teach Enterprises Developing & Rolling Out AI Tools, With Kawal Gandhi

Oct 23, 2023

32:37

Snipd AI

Kawal Gandhi, Lead for Generative AI in the Office of the CTO for Google Cloud, discusses insights on how enterprises can effectively invest and roll out AI development and tools. They also touch on best use cases for Google Colab TPU, Google's internal AI applications, and the impact of NVIDIA GPU shortage.

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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.

The Cost-Craft Curve and Investments in the Ecosystem

00:57

Differentiating Elements on the Platform from the Next Few Quarters

00:58

Introduction

2min

Internal use cases and domain-specific models

21min

The Origins of Google Cloud's Silicon Layer and TPUs

4min

Impact of NVIDIA GPU Shortage on AI Tools and Deployment within Organizations

2min

Exploring the Demand for Training and Google's Model Quality

2min

Current work on user experience, shared data, and synthetic data

3min

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.

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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

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No Priors: Artificial Intelligence | Technology | Startups

What Google Cloud Can Teach Enterprises Developing & Rolling Out AI Tools, With Kawal Gandhi