Sep 9–12, 2019

Uber’s Deep Learning Applications in NLP and Conversational AI

Huaixiu Zheng (Uber)
11:05am11:45am Wednesday, September 11, 2019
Location: Expo Hall 3

Who is this presentation for?

AI Engineers/Scientists, AI Product professions

Level

Intermediate

Description

Uber is applying NLP and Conversational AI in many business domains such as Customer Support, in-app message, and voice-controlled interactions with Uber app. In this talk, challenges and opportunities of implementing AI solutions in real-world environment will be discussed in details. A few use cases (COTA, OCC, Driver Assistant) will be presented to showcase the process of using AI to impact business. Lastly, I will also introduce some of the cutting research we are doing in the area of end-to-end dialogue systems.

Prerequisite knowledge

Deep Learning, basic understanding of how AI can impact business

What you'll learn

1. How to build and implement AI solution end to end 2. How to use AI to enable natural interactions for customers 3. Cutting edge research in dialogue system
Photo of Huaixiu Zheng

Huaixiu Zheng

Uber

Huaixiu Zheng is a Senior Data Scientist at Uber, where he’s a major contributor to several ongoing efforts at Uber using deep learning-based NLP, ML, and AI technologies to empower the intelligent business operations. Huaixiu has made significant contributions in the fields of quantum waveguide QED, quantum phase transition in dissipative environments, and photonic quantum computation. Previously, he was a postdoctoral researcher at Yale University, where he worked on quantum error corrections and topological quantum computation. He has published more than 25 journal and conference papers in prestigious journals such as Nature, Nature Physics, and Physical Review Letters, and has more than 1,000 citations. He received prestigious academic and industrial awards, including the Chinese Government Award for Outstanding Self-Financed Students Abroad, the John T. Chambers Scholarship, a second-place award from the SPIE-AAPM-NCI Prostate MR Classification Challenge, a second-place award for the SPIE-AAPM-NCI Prostate MR Gleason Grade Group Challenge, and the second prize (as part of team Future Lifecare) of the 8th Intelligent System Summit & TEEC Cup Startup Contest. He holds a PhD in quantum physics and quantum computation from Duke University.

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