Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Yasuyuki Kataoka

Yasuyuki Kataoka
Data Scientist, NTT Innovation Institute, Inc.

Website

Yasuyuki Kataoka is a data scientist at NTT Innovation Institute, Inc. His primary interest is applied R&D in machine learning applications for time series and heterogeneous data such as vision, audio, text, and IoT sensor signals. This data science work spans various fields including automotive, sports, healthcare, and social media. Other areas of interest include robotics control such as self-driving car and drone systems. When not doing research activities, he likes to participate in hackathons, where he has won prizes in the automotive and healthcare industries. Yasuyuki is a PhD candidate in artificial intelligence at the University of Tokyo and holds an MS and BS in mechanical and system engineering from Tokyo Institute of Technology, where he graduated with valedictorian honors.

Sessions

4:20pm–5:00pm Thursday, 09/13/2018
Location: 1E 10/11 Level: Beginner
Secondary topics:  Transportation and Logistics
Yasuyuki Kataoka (NTT Innovation Institute, Inc.)
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One of the challenges of sports data analytics is how to deliver machine intelligence beyond a mere real-time monitoring tool. Yasuyuki Kataoka highlights various real-time machine learning models in both IndyCar and Tour de France, sharing real-time data processing architectures, machine learning models, and demonstrations that deliver meaningful insights for players and fans. Read more.