No Priors: Artificial Intelligence | Technology | Startups

Build AI products at on-AI companies with Emily Glassberg Sands from Stripe

Feb 8, 2024

39:24

Snipd AI

In this podcast, Sarah and Elad are joined by Emily Glassberg Sands, Head of Information at Stripe. They discuss how Stripe prioritizes AI projects and builds tools to empower non-technical users. They talk about Radar Assistant and Sigma Assistant, which utilize generative AI to fight fraud and generate business insights. They also explore the future impact of generative AI on Stripe and the economy. Additionally, they discuss investment decisions for AI startups and the role of AI in education and labor market.

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Quick takeaways

Stripe utilizes AI to empower non-technical users to code using natural language.

Stripe's AI-powered tools automate code generation and accelerate information retrieval, benefiting users in fraud prevention and business insights.

Deep dives

Stripe's Evolution and Responsibilities

Emily Glassberg-Sans, the head of information at Stripe, discusses the organization's evolution under her tenure and the span of responsibilities she focuses on. Stripe's primary focus is enabling the effective use of data across various teams and building data-powered products. They invest in ML infrastructure and applications like AI for the self-serve business, which includes different SMBs and startups that use Stripe directly for payments as well as other services like invoicing, subscriptions, billing, tax, and more.

Fostering Internal Experimentation and Adoption of LLMs

00:45

Empowering Teams to Choose Models Strategically

01:26

Leveraging Data for Payments Optimization

01:11

Introduction

2min

Stripe's Adoption of LLMs and Generative AI Models

9min

Speed in Fighting Fraud and Generating Business Insights

3min

The Future Impact of Generative AI

17min

Investment Decisions and the Impact of AI on Education

4min

The Growth and Monetization of AI Companies

4min

Many companies that are building AI products for their users are not primarily AI companies. Today on No Priors, Sarah and Elad are joined by Emily Glassberg Sands who is the Head of Information at Stripe. They talk about how Stripe prioritizes AI projects and builds these tools from the inside out. Stripe was an early adopter of utilizing LLMs to help their end user. Emily talks about how they decided it was time to meaningfully invest in AI given the trajectory of the industry and the wealth of information Stripe has access to. The company’s goal with utilizing AI is to empower non-technical users to code using natural language and for technical users to be able to work much quicker and in this episode she talks about how their Radar Assistant and Sigma Assistant achieve those goals.

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Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @emilygsands

Show Notes:

(0:00) Background

(0:38) Emily’s role at Stripe

(2:31) Adopting early gen AI models

(4:44) Promoting internal usage of AI

(8:17) Applied ML accelerator teams

(10:36) Radar fraud assistant

(13:30) Sigma assistant

(14:32) How will AI affect Stripe in 3 years

(17:00) Knowing when it’s time to invest more fully in AI

(18:28) Deciding how to proliferate models

(22:04) Whitespace for fintechs employing AI

(25:41) Leveraging payments data for customers

(27:51) Labor economics and data

(30:10) Macro economic trends for strategic decisions

(32:54) How will AI impact education

(35:36) Unique needs of AI startups

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