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Optimizing User Defined Functions with Apache Spark™ and R in the Real World: Scaling Pitch Scenario Analysis with the Minnesota Twins Part 2

Introduction In part 1 we talked about how Baseball Operations for the Minnesota Twins wanted to run up to 20k simulations on 15...

On-Demand Virtual Session: Customer Lifetime Value

Before you can provide personalized services and offers to your customers, you need to know who they are. In this virtual workshop, retail...

Retail and Consumer Goods Sessions You Don’t Want to Miss at Spark + AI Summit 2020

June 16, 2020 by Rob Saker and Hector Leano in
The current economic environment is having a significant impact on the Retail and Consumer Goods sector. Rapid changes in how consumers shop is...

Media and Entertainment Sessions You Don’t Want to Miss at Spark + AI Summit 2020

June 11, 2020 by Hector Leano in
For years, the Spark + AI Summit has been the premier meeting place for organizations looking to build artificial intelligence (AI) applications at...

How the Minnesota Twins Scaled Pitch Scenario Analysis to Measure Player Performance - Part 1

Statistical Analysis in the Game of Baseball A single pitch in Major League Baseball (MLB) generates tens of megabytes of data, from pitch...

How to build a Quality of Service (QoS) analytics solution for streaming video services

Click on the following link to view and download the QoS notebooks discussed below in this article. Contents The Importance of Quality to...