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Uber Cpwbpy’d Up a Bunch of Scattered API systems into One Powerful AI platform

by Larry Chiang on July 4, 2025

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MLOps Community
⁦‪@mlopscommunity‬⁩
Here are three nuggets that stood out:

1️⃣ One platform to rule them all

Uber wrangled a bunch of scattered ML systems into one powerful platform. Now teams across the company can train, test, and ship models at scale—supporting millions of real-time predictions per second.

 
7/4/25, 12:00 PM
 
 


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MLOps Community
⁦‪@mlopscommunity‬⁩
2️⃣ Not all models are created equal

They’ve got a clear ranking system for ML projects. Tier 1 means “don’t mess this up”—like pricing and ETAs. It keeps priorities sharp and teams focused.

 
7/4/25, 12:00 PM
 
 


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MLOps Community
⁦‪@mlopscommunity‬⁩
3️⃣ GenAI is on the move

Predictive models still power the core, but GenAI is creeping into more parts of Uber—from summarizing customer feedback to crafting personalized in-app moments.

 
7/4/25, 12:00 PM
 
 


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Fashion Week’s front row
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What A Super Model Can Teach a Harvard MBA About Credit www.slideshare.net/larrychiang/what-a-super-model-can-teach-a-harvard-mba-about-credit

American Express hosts me mentoring you about FICO scores at New York Fashion Week
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My video boils down 20,000 hours and moves you to the right on the entrepreneur bell curve 
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52 Cards. Two Jokers. What They DO Teach You at Stanford Engineering
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Emergency swings and cutting deals as an 9 year old

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Hunter Pence shared thoughts before winning WORLD SERIES’ Game #7
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