SOURCE: Concurrent, Inc.

Concurrent, Inc.

February 13, 2014 09:01 ET

Concurrent, Inc. to Present at DeveloperWeek San Francisco 2014

Concurrent's Alexis Roos to Deliver Session on "Pattern: An Open Source Project for Creating Complex Machine Learning Applications"

SAN FRANCISCO, CA--(Marketwired - Feb 13, 2014) -  Concurrent, Inc., the enterprise Big Data application platform company, today announced that Alexis Roos, senior solutions architect, will deliver a talk, titled "Pattern: An Open Source Project for Creating Complex Machine Learning Applications," at DeveloperWeek San Francisco. Taking place Feb. 15-21, the conference is the first developer event that brings together thousands of developers to explore, learn and build new skills, applications, startups and product features.

Details At-A-Glance
What:
 "Pattern: An Open Source Project for Creating Complex Machine Learning Applications"
Who: Alexis Roos, senior solutions architect, Concurrent, Inc.
When: Tuesday, Feb. 18 at 10 a.m. PST
Where: Workshop Room 2, Terra Gallery, 511 Harrison St., San Francisco
How: Register at http://developerweek.com/register/

Session Description
Cascading Pattern is an open source project that takes models trained in popular analytics frameworks, such as SAS, Microstrategy, SQL Server, etc., and runs them at scale on Apache Hadoop. With Pattern, developers can use a Java API to create complex machine learning applications, such as recommenders or fraud detection. Pattern effectively lowers the barrier of adoption to Apache Hadoop for developers because developers can use existing skill sets to immediately begin building these complex applications.

In this presentation, Concurrent, Inc.'s Alexis Roos, will provide sample code that will show applications using predictive models built in SAS and R, such as anti-fraud classifiers. Additionally, Alexis will compare variations of models for enterprise-class customer experiments.

Extended abstract available at: http://sched.co/1fuIriN

About the Speaker
Alexis Roos is a senior solutions architect focusing on Big Data solutions at Concurrent, Inc. He has more than 18 years of experience in software and sales engineering, helping both Fortune 500 firms and start-ups build new products that leverage Big Data, application infrastructure, security, databases and mobile technologies. Prior, Alexis worked for Sun Microsystems and Oracle for more than 13 years, and has also spent time at Couchbase and several large systems integrators over in Europe. Alexis has spoken at dozens of conferences as well as university courses and holds a Master's Degree in computer science with a cognitive science emphasis.

Supporting Resources

About Concurrent, Inc.
Concurrent, Inc. delivers the #1 application development platform for Big Data applications. Concurrent builds application infrastructure products that are designed to help enterprises create, deploy, run and manage data applications at scale on Apache Hadoop™.

Concurrent is the team behind Cascading™, the most widely used and deployed technology for Big Data applications with more than 130,000+ user downloads a month. Used by thousands of businesses including Twitter, eBay, The Climate Corp and Etsy, Cascading is the de-facto standard in open source application infrastructure technology.

Concurrent is headquartered in San Francisco and online at http://concurrentinc.com.

Contact Information

  • Media Contact
    Danielle Salvato-Earl
    Kulesa Faul for Concurrent, Inc.
    (650) 922-7287
    Email Contact