Alation Centralizes Enterprise Data Knowledge by Employing Machine Learning and Crowdsourcing
June 10, 2016•16 min
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 Dana Gardner, Principal Analyst at Interarbor Solutions. [Sponsor: Hewlett Packard Enterprise.]