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Uber’s deep learning applications in NLP and conversational AI
conference

Uber’s deep learning applications in NLP and conversational AI

by Huaixiu Zheng
February 2020
Advanced
41m
English
O'Reilly Media, Inc.
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)

Overview

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

This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA.

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Publisher Resources

ISBN: 0636920371113