Michelangelo Archives | Uber Engineering Blog

3 JAN

COTA: Improving Uber Customer Care with NLP & Machine Learning

In this article, Uber Engineering introduces our Customer Obsession Ticket Assistant (COTA), a new tool that puts machine learning and natural language processing models in the service of customer care to help agents deliver improved support experiences.

By Huaixiu Zheng, Yi-Chia Wang and Piero Molino /
Categories: AI

21 DEC

Year in Review: 2017 Highlights from the Uber Engineering Blog

To ring in the New Year, the Uber Engineering Blog shares some of our editor's picks for 2017.

By Molly Vorwerck /
Categories: General Engineering

10 NOV

Engineering More Reliable Transportation with Machine Learning and AI at Uber

In this article, we highlight how Uber leverages machine learning and artificial intelligence to tackle engineering challenges at scale.

By Chintan Turakhia /
Categories: Uber Data

17 OCT

Meet Horovod: Uber’s Open Source Distributed Deep Learning Framework for TensorFlow

Uber Engineering introduces Horovod, an open source framework that makes it faster and easier to train deep learning models with TensorFlow.

By Alex Sergeev and Mike Del Balso /
Categories: Uber Data

9 OCT

Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform

Uber Engineering built AthenaX, our open source streaming analytics platform, to bring large-scale event stream processing to everyone.

By Haohui Mai, Bill Liu, & Naveen Cherukuri /
Categories: Architecture