Intelligent Data: Tech Symposium for AI/ML

Tetsuro Eto

AI/ML developers rejoice! Biggest roadblock to quality model development is the data. Now, we’ve created a brand new series of symposium, just for Data. It’s a soft launch of much larger event later so we’ve made it free for developers and academics. Come and Machine Learn about Intelligent Data at University of Washington.
 
In the age of Machine Learning and AI, the success of a system depends heavily on the data. To train an AI model, you need a good quality data and that data must be collected, organized and structured in an intelligent way. So much so that most of the AI system development is structured around how to prepare the incoming data and then processing the out coming data.
 
Tech Symposium: “Intelligent Data” is a quarterly series of technical presentation event by academics, entrepreneurs, innovators and developers. We will have speakers from leading platform developers and startups who focus on data science and data management for AI era.
This event is associated with Japan Seattle AI Innovation meetup and delegation from Japan will be join as audience. 
Event: Tech Symposium : “Intelligent Data” 1.0
July 24th, 2018 1PM-7:30PM
Organizer: IFC, Washington State Dept of Commerce, University of Washington MSE Dept., DefinedCrowd & MatchBox
 
Venue: University of Washington, Alder Auditorium
<A HREF="https://hfs.uw.edu/Conference-Services/Meeting-Facilities/Alder-Commons/Alder-Auditorium" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://hfs.uw.edu/Conference-Services/Meeting-Facilities/Alder-Commons/Alder-Auditorium</A>
1310 NE 40th Street Seattle, WA 98105. Entrance on NE 40th Street between Brooklyn Avenue NE and University Way NE 
 
Capacity :200
 
Who should attend: Startups, Development service companies, Platform developers, ML Application users, users of ML/AI, Data Scientists, university researchers and students. Japanese delegation from Japan Seattle AI Innovation meetup will join.
 
Entrance fee : Free for qualified developers, academics and students.
 
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1:30 Opening Remarks
Prof Fumio Ohuchi, University of Washington, Dept Material Science & Engineering
Dr. Joseph Williams, Washington State Dept of Commerce, Director and ICT Sector Lead
Daniela Braga, Ph.D, DefinedCrowd, CEO
Matthew Calamatta, MatchBox CTO
Tom Sato Innovation Finders Capital, Managing Partner
James Reed, CEO, SWAN Venture Capital
 
1:40 Session 1
"Overview of University of Washington's Data Science Institute: eScience"
Dr. Sarah Stone, eScience Executive Director
 
2:20 Session 2
“Technology of Preparing Data for Machine Learning” by Daniela Braga, Ph.D. CEO DefinedCrowd
 
3:00 Session 3
Data Science Academic Session
Prof Yutaka Ohya, Tohoku University
 
3:40 Break
 
3:50 Session 4
“Structured Data and Chatbot” 
by Phil Gordon, CEO, ChatBox
 
4:30 Session 5
“Apache Spark compatible fast data processing on CUDA GPU” 
by Shannon Smith, COO, FastData.IO
 
5:10 Session 6
“ML Model Development and Importance of Data”
By Rajeev Dutt, CEO, DimensionalMechanics
 
5:50 Session 7
Machine Learning In The Real World by MatchBox Mobile
By Matthew Calamatta, CTO
 
6;30 Networking Session with light food and refreshments
 
7:30 END
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University of Washington, Alder Auditorium

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Intelligent Data: Tech Symposium for AI/ML

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