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No Priors Ep. 50 | With Stripe Head of Information Emily Glassberg Sands

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. Sign up for new podcasts every week. Email feedback to show@no-priors.com 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

Elad GilhostEmily Glassberg SandsguestSarah Guohost
Feb 8, 202439mWatch on YouTube ↗

CHAPTERS

  1. 0:00 – 0:38

    Background

  2. 0:38 – 2:31

    Emily’s role at Stripe

  3. 2:31 – 4:44

    Adopting early gen AI models

  4. 4:44 – 8:17

    Promoting internal usage of AI

  5. 8:17 – 10:36

    Applied ML accelerator teams

  6. 10:36 – 13:30

    Radar fraud assistant

  7. 13:30 – 14:32

    Sigma assistant

  8. 14:32 – 17:00

    How will AI affect Stripe in 3 years

  9. 17:00 – 18:28

    Knowing when it’s time to invest more fully in AI

  10. 18:28 – 22:04

    Deciding how to proliferate models

  11. 22:04 – 25:41

    Whitespace for fintechs employing AI

  12. 25:41 – 27:51

    Leveraging payments data for customers

  13. 27:51 – 30:10

    Labor economics and data

  14. 30:10 – 32:54

    Macro economic trends for strategic decisions

  15. 32:54 – 35:36

    How will AI impact education

  16. 35:36 – 39:24

    Unique needs of AI startups

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