Uber’s deep learning applications in NLP and conversational AI

Huaixiu Zheng (Uber)

11:05am–11:45am Wednesday, September 11, 2019

Location: Expo Hall 3

Implementing AI

Secondary topics: Deep Learning, Machine Learning, Text, Language, and Speech

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Who is this presentation for?

AI engineers and scientists
AI product professionals

Level

Intermediate

Description

Uber applies NLP and conversational AI in a number of business domains, such as customer support, in-app messages, and voice-controlled interactions with the Uber app.

Huaixiu Zheng details the challenges and opportunities of implementing AI solutions in a real-world environment. You’ll be able to see a few use cases (COTA, OCC, and driver assistant) to showcase the process of using AI to impact business. Huaixiu also outlines some of the cutting-edge research Uber is doing in the area of end-to-end dialogue systems.

Prerequisite knowledge

A basic understanding of deep learning and how AI can impact business

What you'll learn

Understand how to build and implement end-to-end AI solutions as well as how to use AI to enable natural interactions for customers
See cutting-edge research in dialogue systems

Huaixiu Zheng

Uber

Huaixiu Zheng is a tech lead on the conversational AI team at Uber, focusing on applications and applied research of natural language processing, deep learning, and conversational AI systems. He’s led several big initiatives at Uber in using AI technologies to empower business applications in the domains of customer support, smart-reply systems, and task-oriented conversational AI systems. He received his PhD in quantum physics and quantum computation from Duke University. He’s published 30+ papers in prestigious journals such as Nature, Nature Physics, and Physical Review Letters and conferences such as KDD.