Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Smarter business apps with a modern GPU database (sponsored by Kinetica)

Mate' Radalj (Kinetica)
4:35pm5:15pm Wednesday, September 27, 2017
Sponsored
Location: 1A 03

What you'll learn

  • Learn how a GPU-accelerated database enables data science teams to develop, test, and train algorithms while making them directly available to business users

Description

Powered by artificial intelligence, intelligent apps in healthcare, retail, financial services, manufacturing, and transportation are transforming business processes, delivering operational efficiencies and improving customer experiences. But infusing business apps with AI isn’t easy. You need to master the entire AI process from data to models to operationalization so you can build, train, and deploy predictive models that unleash smart business apps and enable data-driven decisions.
 
Mate Radalj explains how a GPU-accelerated database enables data science teams to develop, test, and train algorithms while making them directly available to business users through point-and-click apps to enable a data-driven enterprise.
 
Topics include:

  • An overview of the AI process, from data generation and model training to operationalization
  • How a modern GPU-accelerated database delivers the ease of use, scale, and speed to infuse business apps with AI capabilities
  • A real-life example of a retail customer using the GPU database to add predictive capabilities to a subscription management app and intelligently prompt customers for membership renewals

This session is sponsored by Kinetica.

Photo of Mate' Radalj

Mate' Radalj

Kinetica

Mate Radalj is vice president and principal software engineer at Kinetica. Previously, he was associate vice president and principal technologist at Infosys and a vice president and principal software engineer at SAP. Earlier in his career, Mate worked at Netezza, IBM, SignalDemand, Celquest, Callixa, Softport, Informix, and American International Credit and was a US Army military intelligence officer. Mate holds a BS in computer science from Fordham University.