Real World Applications Panel: Machine Learning and Decision Support

Real World
Location: Mission City B1
Average rating: ***..
(3.12, 8 ratings)

Can machines help us make better decisions? In this panel, real-world practitioners from the travel, finance, and energy industry give us an inside look at how they’re applying machine learning to their industries, oprimizing the use of resources and helping with decision support.

Samy Bengio

Google

Photo of Jonathan Seidman

Jonathan Seidman

Orbitz Worldwide

Jonathan has spent more than 15 years as a software developer, with a focus in the last few years on processing large data sets using tools such as Hadoop. Currently, Jonathan is a Lead Engineer on the Business Intelligence/Big Data team at Orbitz Worldwide. Jonathan is also a co-founder and organizer of the Chicago Hadoop User Group and founder of the Chicago Big Data User Group.

Photo of Robert Lancaster

Robert Lancaster

Orbitz Worldwide

Rob Lancaster left a promising career in Neuroscience to work in Software Development. For the last 12 years he’s been developing solutions for the travel industry. He is currently a Solutions Architect for Orbitz working with their Hotel technology teams on various efforts.

Photo of Alasdair Allan

Alasdair Allan

Babilim Light Industries

Alasdair Allan is a director at Babilim Light Industries and a scientist, author, hacker, maker, and journalist. An expert on the internet of things and sensor systems, he’s famous for hacking hotel radios, deploying mesh networked sensors through the Moscone Center during Google I/O, and for being behind one of the first big mobile privacy scandals when, back in 2011, he revealed that Apple’s iPhone was tracking user location constantly. He’s written eight books and writes regularly for Hackster.io, Hackaday, and other outlets. A former astronomer, he also built a peer-to-peer autonomous telescope network that detected what was, at the time, the most distant object ever discovered.

Sponsors

  • Thomson Reuters
  • EMC Data Computing Division
  • EnterpriseDB
  • Microsoft
  • Gnip
  • Rackspace Hosting
  • IBM
  • Windows Azure MarketPlace DataMarket
  • Amazon Mechanical Turk
  • Amazon Web Services
  • Aster Data
  • Cloudera
  • Clustrix
  • DataStax, Inc. (formerly Riptano, Inc.)
  • Digital Reasoning Systems
  • Heritage Provider Network
  • Impetus
  • Jaspersoft
  • Karmasphere
  • LinkedIn
  • MarkLogic
  • Pentaho
  • Pervasive
  • Revolution Analytics
  • Splunk
  • Urban Mapping
  • Wolfram|Alpha
  • Esri
  • ParAccel
  • Tableau Software

Sponsorship Opportunities

For information on exhibition and sponsorship opportunities at the conference, contact Susan Young at syoung@oreilly.com

Download the Strata Sponsor/Exhibitor Prospectus

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