Emily Glassberg Sands, Head of Information at Stripe, explains how Stripe built a centralized internal API to enable engineers to deploy large language models into production.
“There are 60 applications built on that now, a bunch internal, but also several external, and I'm happy to talk about a couple of them.”
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More from Emily Glassberg Sands
PredictionNot checkable as stated
Sands: Financial Foundation Models Could Beat Traditional Optimization by 200 Bps
“It doesn't feel crazy to think that a good foundation model could outperform more traditional approaches by, I don't know, a hundred bips, 200 bips.”
Emily Glassberg SandsFeb 8, 2024▶ 15:26No Priors Ep. 50 | With Stripe Head of Information Emily Glassberg Sands
Insight
Sands: High Upfront Compute Costs Force AI Startups to Monetize Faster
“Unlike a bunch of the past generations of software startups, we're seeing AI startups have substantial compute costs right out of the gate, and that that's putting a bunch of pressure to build monetization engines faster.”
Emily Glassberg SandsFeb 8, 2024▶ 36:26No Priors Ep. 50 | With Stripe Head of Information Emily Glassberg Sands
Opinion
Sands: Stripe Can Learn and Action Interventions Improving Business Success
“Stripe's clearly helping companies run more effectively and also in a position to learn from its data what kind of interventions significantly improve companies' long-term success. And in some cases to actually action those.”
Emily Glassberg SandsFeb 8, 2024▶ 1:06No Priors Ep. 50 | With Stripe Head of Information Emily Glassberg Sands
PredictionNot checkable as stated
Sands: LLMs Will Automate Bespoke Financial Integrations Without Payments Engineers
“I think there's almost certainly an opportunity to, you know, whether Stripe does it or somebody else does it, to make sort of financial integrations way more seamless. Stripe has a whole suite of no code products, so you can use, ah, you know, payment links o…”
Emily Glassberg SandsFeb 8, 2024▶ 23:44No Priors Ep. 50 | With Stripe Head of Information Emily Glassberg Sands
AssertionNot checkable as stated
Sands: Stripe ML Recovers Billions Globally in False Declines
“We use ML to optimize authorization requests for issuers, basically Identifying the optimized retry messaging and routing combinations to recover a big chunk of false declines, about 10%, so billions of dollars globally.”
Emily Glassberg SandsFeb 8, 2024▶ 26:32No Priors Ep. 50 | With Stripe Head of Information Emily Glassberg Sands
AssertionNot checkable as stated
Sands: Stripe Smart Dunning Reduces Recurring Charge Declines by 30%
“For recurring charges in our billing product, we use Smart Dunning to reduce declines, and actually reduces declines by about 30%.”
Emily Glassberg SandsFeb 8, 2024▶ 26:55No Priors Ep. 50 | With Stripe Head of Information Emily Glassberg Sands
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