Data Jujitsu: The Art of Turning Data into Product

DJ Patil (White House Office of Science and Technology Policy)
Business & Industry, Mission City B4
This presentation will be streamed live.
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What does it really take to build a data product? Recall and relevancy are only parts of the challenge. In fact, an entire new approach is required to build consistently great data products. This includes new paradigms of design, web development, engineering, and testing that allow a team to prototype for 1x, build for 10x, and engineer for 100×. I’ll explain the Data Jujitsu approach which is an agile approach that supports all these scales.

Photo of DJ Patil

DJ Patil

White House Office of Science and Technology Policy

Dr. DJ Patil joined the White House Office of Science and Technology Policy in February 2015, when he was named by the White House as Chief Data Scientist and Deputy Chief Technology Officer for Data Policy. DJ advises on policies and practices to maintain U.S. leadership in technology and innovation, fosters partnerships to maximize the Nation’s return on its investment in data, and helps to attract and retain the best minds in data science to serve the public.

Since joining OSTP, DJ has collaborated with colleagues across government, including the Chief Information Officer and the U.S. Digital Service as part of the Administration’s commitment to open data and data science. He is leading data science efforts related to the Precision Medicine Initiative, which focuses on utilizing advances in data and health care to provide clinicians with new tools, knowledge, and therapies to select which treatments will work best for which patients, while protecting patient privacy.

DJ joins the White House following an incredible career as a data scientist — a term he helped coin — in the public and private sectors, and in academia. Most recently, he served as the Vice President of Product at RelateIQ, which was acquired by Salesforce. DJ also previously held positions at LinkedIn, Greylock Partners, and eBay Inc, where he oversaw initiatives at eBay, PayPal, and Skype.

Prior to his work in the private sector, DJ was an American Association for the Advancement of Science (AAAS) Science & Technology Policy Fellow for the Department of Defense, where he directed new efforts to bridge computational and social sciences in fields like social network analysis to help anticipate emerging threats to the United States.

As a doctoral student and faculty member at the University of Maryland, DJ used open datasets published by the National Oceanic and Atmospheric Administration (NOAA) to make major improvements in numerical weather forecasting. He holds a bachelor’s degree in mathematics from the University of California, San Diego, and a PhD in applied mathematics from the University of Maryland College Park. DJ has also authored a number of influential articles and books explaining the important current and potential applications of data science. In 2014, the World Economic Forum named DJ as a Young Global Leader.


  • EMC
  • Microsoft
  • HPCC Systems™ from LexisNexis® Risk Solutions
  • MarkLogic
  • Shared Learning Collaborative
  • Cloudera
  • Digital Reasoning Systems
  • Pentaho
  • Rackspace Hosting
  • Teradata Aster
  • VMware
  • IBM
  • NetApp
  • Oracle
  • 1010data
  • 10gen
  • Acxiom
  • Amazon Web Services
  • Calpont
  • Cisco
  • Couchbase
  • Cray
  • Datameer
  • DataSift
  • DataStax
  • Esri
  • Facebook
  • Feedzai
  • Hadapt
  • Hortonworks
  • Impetus
  • Jaspersoft
  • Karmasphere
  • Lucid Imagination
  • MapR Technologies
  • Pervasive
  • Platform Computing
  • Revolution Analytics
  • Scaleout Software
  • Skytree, Inc.
  • Splunk
  • Tableau Software
  • Talend

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