Media Summary: DATA FOR AI: Real-Time, Batch, and LLMs Explore how Jai Malkani, Global Head of AI & Product, Customer Obsession, From the MLOps World GenAI Summit 2025 — Virtual Session (October 7, 2025) Session Title:

Uber Large Scale Embedding Feature Generation At Uber - Detailed Analysis & Overview

DATA FOR AI: Real-Time, Batch, and LLMs Explore how Jai Malkani, Global Head of AI & Product, Customer Obsession, From the MLOps World GenAI Summit 2025 — Virtual Session (October 7, 2025) Session Title: During this May 2019 meetup in New York City, the Fulfillment Platform Rearchitecture → Building At Ray Summit 2025, Bharat Joshi and Peng Zhang from

Learn to build agents on LangChain Academy: ... Episode 64 of the Stanford MLSys Seminar Series! DeepETA: How On October 24, 2019, the WiSDOM (Women in Statistics, Data, Optimization, and Machine Learning) Employee Resource Group ... Is going the extra mile a good thing? Go ask an In this talk, we outline how we introduced causality into our machine learning models within the core checkout and onboarding ...

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Uber - Large-Scale Embedding Feature Generation at Uber
Jai Malkani, Uber: Transforming Uber's Customer Experience with Generative AI
Uber’s Multi-Agent SDK | Jamieson Leibovitch, Uber
Uber - Palette at Scale
Vector Store: Uber’s Embedding Platform - Feature Store Summit 2025
[Visualization Nights] Introduction to Uber's Movement Speeds Dataset
How does Uber scale to millions of concurrent requests?
Inside Uber: Scaling Model Training with Ray | Ray Summit 2025
How Uber Built AI Agents That Save 21,000 Developer Hours with LangGraph | LangChain Interrupt
How Uber Predicts Arrival Times - Xinyu Hu and Olcay Cirit | Stanford MLSys #64
Large-scale deep learning training and tuning with Ray at Uber
Creating an Extensible Big Data Platform | Uber
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Uber - Large-Scale Embedding Feature Generation at Uber

Uber - Large-Scale Embedding Feature Generation at Uber

DATA FOR AI: Real-Time, Batch, and LLMs Explore how

Jai Malkani, Uber: Transforming Uber's Customer Experience with Generative AI

Jai Malkani, Uber: Transforming Uber's Customer Experience with Generative AI

Jai Malkani, Global Head of AI & Product, Customer Obsession,

Sponsored
Uber’s Multi-Agent SDK | Jamieson Leibovitch, Uber

Uber’s Multi-Agent SDK | Jamieson Leibovitch, Uber

From the MLOps World | GenAI Summit 2025 — Virtual Session (October 7, 2025) Session Title:

Uber - Palette at Scale

Uber - Palette at Scale

featurestore #featurestoresummit #machinelearning #datascience || In this video || The team at

Vector Store: Uber’s Embedding Platform - Feature Store Summit 2025

Vector Store: Uber’s Embedding Platform - Feature Store Summit 2025

Vector Store:

Sponsored
[Visualization Nights] Introduction to Uber's Movement Speeds Dataset

[Visualization Nights] Introduction to Uber's Movement Speeds Dataset

During this May 2019 meetup in New York City, the

How does Uber scale to millions of concurrent requests?

How does Uber scale to millions of concurrent requests?

Fulfillment Platform Rearchitecture → https://goo.gle/35dJrMr Building

Inside Uber: Scaling Model Training with Ray | Ray Summit 2025

Inside Uber: Scaling Model Training with Ray | Ray Summit 2025

At Ray Summit 2025, Bharat Joshi and Peng Zhang from

How Uber Built AI Agents That Save 21,000 Developer Hours with LangGraph | LangChain Interrupt

How Uber Built AI Agents That Save 21,000 Developer Hours with LangGraph | LangChain Interrupt

Learn to build agents on LangChain Academy: ...

How Uber Predicts Arrival Times - Xinyu Hu and Olcay Cirit | Stanford MLSys #64

How Uber Predicts Arrival Times - Xinyu Hu and Olcay Cirit | Stanford MLSys #64

Episode 64 of the Stanford MLSys Seminar Series! DeepETA: How

Large-scale deep learning training and tuning with Ray at Uber

Large-scale deep learning training and tuning with Ray at Uber

At

Creating an Extensible Big Data Platform | Uber

Creating an Extensible Big Data Platform | Uber

Get the slides: https://www.datacouncil.ai/talks/creating-an-extensible-

How Uber Finds You in 200 Milliseconds — The Geospatial System Behind Every Ride

How Uber Finds You in 200 Milliseconds — The Geospatial System Behind Every Ride

How does

GenAI at UBER: Scaling Infrastructure

GenAI at UBER: Scaling Infrastructure

Presented by Navneeth Kankani (

[WiSDOM] Conversational AI at Uber

[WiSDOM] Conversational AI at Uber

On October 24, 2019, the WiSDOM (Women in Statistics, Data, Optimization, and Machine Learning) Employee Resource Group ...

How Uber uses Machine Learning? | Step-by-Step Explanation | Top 5 Use-Cases

How Uber uses Machine Learning? | Step-by-Step Explanation | Top 5 Use-Cases

Is going the extra mile a good thing? Go ask an

What is QueryGPT | How Uber Enhances Data Queries with AI

What is QueryGPT | How Uber Enhances Data Queries with AI

Discover how

The Secret AI That Powers Uber's Entire Business

The Secret AI That Powers Uber's Entire Business

Website: https://hightouch.com/

Okke van der Wal - Personalization at Uber scale via causal-driven machine learning | PDAMS 2023

Okke van der Wal - Personalization at Uber scale via causal-driven machine learning | PDAMS 2023

In this talk, we outline how we introduced causality into our machine learning models within the core checkout and onboarding ...