• ESRI
  • NAVTEQ
  • Veriplace
  • AT&T Interactive
  • DigitalGlobe
  • Google
  • Yahoo! Inc.
  • ZoomAtlas
  • Digital Map Products
  • Microsoft Research (MSR)
  • Pitney Bowes Business Insight
  • NAVTEQ

Sponsorship Opportunities

For information on exhibition and sponsorship opportunities at the conference, contact Yvonne Romaine at yromaine@oreilly.com

Media Partner Opportunities

For media partnerships, contact mediapartners@ oreilly.com or download the Media & Promotional Partner Brochure (PDF)

Press and Media

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

Where 2.0 Newsletter

To stay abreast of conference news and to receive email notification when registration opens, please sign up for the Where 2.0 Conference newsletter (login required)

Where 2.0 Ideas

Have an idea for Where to share? where-idea@oreilly.com

Contact Us

View a complete list of Where 2.0 contacts

Pete Skomoroch

Pete Skomoroch
Head of Data Products, Workday

Website | @peteskomoroch

Pete Skomoroch is the former head of data products at Workday and LinkedIn. He’s a senior executive with extensive experience building and running teams that develop products powered by data and machine learning. Previously, he was cofounder and CEO of venture-backed deep learning startup SkipFlag (acquired by Workday in 2018) and a principal data scientist at LinkedIn, the world’s largest professional network, with over 500 million members worldwide. As an early member of the data team, he led data science teams focused on reputation, search, inferred identity, and building data products. He was also the creator of LinkedIn Skills and LinkedIn Endorsements, one of the fastest-growing new product features in LinkedIn’s history.

Sessions

General
Location: Ballroom IV Level: Novice
Pete Skomoroch (Workday), Kevin Weil (Twitter, Inc.), Sean Gorman (FortiusOne)
Average rating: ****.
(4.00, 3 ratings)
This workshop will focus on uncovering patterns and generating actionable insights from large datasets using spatial analytics. We will explore combining open government data with other location based information sources like Twitter. Participants will be guided through examples that use Hadoop and Amazon EC2 for scalable processing of location data. Read more.