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Train AI
Dear AI Aficionado,

I've been going to artificial intelligence conferences for a long time, and there are more and more every year. Most are focused in some way on the algorithms that power artificial intelligence. Train AI focuses on everything except the algorithm - the training data and feature selection and deployment issues that end up being 90% of the work. This 1-day event is by and for people that actually want to use artificial intelligence to tackle problems in the real world.
As someone in the data science community, we believe you’ll find Train AI to be one of the most valuable programs you will attend all year. So much so, we are offering 30% off current registration for you!
Use discount code: DSAI30
View the full Train AI Agenda.

Speakers Include:
  • Donna Romer, VP Product, IBM Watson
  • Anthony Goldbloom, Co-Founder & CEO, Kaggle
  • Peter Norvig, Director of Research, Google
  • Richard Socher, Chief Scientist, Salesforce
  • Xuedong Huang, Technical Fellow, AI & Research, Microsoft
  • Alyssa Simpson, Product Management Director, IBM
  • Barney Pell, PhD, Pioneer, Entrepreneur, Investor
  • Dan Ruderman, PhD , Professor of Research Medicine, USC Center for Applied Molecular Medicine
  • Heidi Young, VP of Engineering, Ozlo
  • James Cham, Partner, Bloomberg Beta
  • James Rubinstein, ‎Director, Global Product Testing, Lexis Nexis
  • Maran Nelson, Co-Founder & CEO, Clara Labs
  • Monica Rogati, Data Science Advisor
  • Pete Warden, Staff Research Engineer, Google
  • Robert Munro, Principal Product Manager, Amazon AI
  • Ryan Keiser, Head of Machine Learning, Descartes Labs
  • Sanjay Sood, ‎VP, Highly Automated Driving (HAD),
  • Scott Prevost, VP Engineering, Search Adobe
  • Shivon Zilis, Partner, Bloomberg Beta
  • Sid Dixit, Director, Product Program Management, Planet Labs
  • Toby Segaran, Sr. Engineering Manager, Reddit
Train AI is produced by CrowdFlower, the essential human-in-the-loop AI platform for data science teams. CrowdFlower helps customers generate high quality customized training data for their machine learning initiatives, or automate a business process with easy-to-deploy models and integrated human-in-the-loop workflows.
I hope to see you in May.

Lukas Biewald, Founder and Chief Data Scientist, CrowdFlower

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