Ben Gimpert

Ben Gimpert
Chief Technology Officer, Altos Research

Website

He was a professional software developer for ten years, and has been hacking code for much longer. Ben’s past clients include investment banks like JPMorgan Chase and Credit Suisse, the hedge fund Natura Capital, and EdF Trading an energy trading house. He built a taxonomy browser for Encyclopaedia Britannica in 2004, and previously worked for ThoughtWorks as a convert to agile software engineering.

Ben teaches and speaks on machine learning, software engineering, financial analysis, and the culture of quants. While living in London, Ben was an early contributor to the grassroots cartography project OpenStreetMap. He continues to manage a portfolio of financial assets via a quantitative trading strategy built upon sentiment and predictive analytics. He has an MSc in Finance from London Business School and a BEng in Computer Science from Northwestern University.

Sessions

Data
Location: Sutton South
Ben Gimpert (Altos Research)
All big data models are wrong but some are useful, as George Box might have said. Models are not the end result of a big data architecture, but exploratory tools in their own right. They are most useful when data scientists try to understand the business, and when our users learn a bit about data. How can the actual process of modeling improve a big data system, and teach the organization? Read more.

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

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

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