Crowdsourcing Becomes Part of Data Handling for Alation @BigDataExpo #BigData #MachineLearning

The next BriefingsDirect Voice of the Customer big-data case study discussion focuses on the Tower of Babel problem for disparate data, and explores how Alation manages multiple data types by employing machine learning and crowdsourcing. We'll explore how Alation makes data more actionable via such innovative means as combining human experts and technology systems. To learn more about how enterprises and small companies alike can access more data for better analytics, please join Stephanie McReynolds, Vice-President of Marketing at Alation in Redwood City, California. The discussion is moderated by me, Dana Gardner, Principal Analyst at Interarbor Solutions. Gardner: I've heard of crowdsourcing for many things, and machine learning is more-and-more prominent with big-data activities, but I haven't necessarily seen them together.