Data prediction competitions: What Archimedes and Roger Bannister can teach us about the business of data

Jeremy Howard (platform.ai)
Business
Location: Sutton North Level: Non-technical
Average rating: *****
(5.00, 2 ratings)

‘Crowdsourcing big data’ might sound like a randomly generated selection of buzz words, but it turns out to represent a powerful leap forward in the accuracy of predictive analytics. As companies and researchers are fast discovering, data prediction competitions provide a unique opportunity for advancing the state of the art in fields as diverse as astronomy, health care, insurance pricing, sports ratings systems and tourism forecasting. This session will focus not simply on the mechanics of data prediction competitions, but on why they work so effectively. As it turns out, the ‘why’ boils down to a couple of simple propositions, one associated with Archimedes and the other with world record-breaking sprinter Roger Bannister. Those propositions are not unique to the world of data science, but, as this session will show, have a particularly compelling application to it.

Photo of Jeremy Howard

Jeremy Howard

platform.ai

Jeremy Howard is an entrepreneur, business strategist, developer, and educator. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a faculty member at Singularity University, and a Young Global Leader with the World Economic Forum.

Jeremy’s most recent startup, Enlitic, was the first company to apply deep learning to medicine, and has been selected one of the world’s top 50 smartest companies by MIT Tech Review two years running. He was previously the President and Chief Scientist of the data science platform Kaggle, where he was the top ranked participant in international machine learning competitions 2 years running. He was the founding CEO of two successful Australian startups (FastMail, and Optimal Decisions Group–purchased by Lexis-Nexis). Before that, he spent 8 years in management consulting, at McKinsey & Co, and AT Kearney. Jeremy has invested in, mentored, and advised many startups, and contributed to many open source projects.

He has many television and other video appearances, including as a regular guest on Australia’s highest-rated breakfast news program, a popular talk on TED.com, and data science and web development tutorials and discussions.

Sponsors

  • Aster Data
  • EMC Greenplum
  • GE
  • Lexis Nexis
  • MarkLogic
  • Tableau Software
  • Cloudera
  • DataStax
  • Informatica
  • DataSift
  • Splunk
  • Amazon Web Services
  • Datameer
  • Impetus
  • Karmasphere
  • MapR Technologies
  • Pervasive
  • Platform Computing
  • Revolution Analytics
  • Sybase
  • Xeround
  • Media-Science
  • Platfora

Sponsorship Opportunities

For information on sponsorship opportunities at the conference, contact Susan Stewart at sstewart@oreilly.com

Press & Media

For media-related inquiries, contact Maureen Jennings at maureen@oreilly.com

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