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How AMC uses machine learning to find out more about TV viewers [Big Data & Analytics Hub]

By Juliet Sigmann posted Fri January 04, 2019 09:10 AM

Don't miss our latest blog posted on IBM Big Data & Analytics Hub.

TITLE:  How AMC uses machine learning to find out more about TV viewers 
POSTED:  January 3, 2019
LINK:  https://www.ibmbigdatahub.com/blog/how-amc-uses-machine-learning-find-out-more-about-tv-viewers

IBM Big Data and Analytics Hub recently sat down with Vitaly Tsivin, executive vice president of business intelligence for AMC Networks, to gain a better understanding of how AMC set itself up for success with machine learning.

The solutions AMC uses 

Tsivin said that AMC was “well positioned to bring machine learning into the picture” thanks to the IBM data warehouse appliance, IBM Integrated Analytics System, “one of the best in the market.” Similarly, he noted that IBM Db2 Warehouse on Cloud, was “one of the best ones there is” due to the rich functionality of the established Db2 offering, now combined with new cloud technology “such as in-memory execution and elasticity.” Specifically, when compared to Amazon Redshift, Tsivin indicated that “there are many aspects of that in which IBM is ahead.”

What really brings out the best of both solutions is the way in which they work together in a hybrid framework. Having the same technology and code structure underlying both introduces important benefits. “Your optimization algorithms run the same way and optimize the same way”, Tsivin observed. In addition, he also remarked upon the ability to move a lot of data between the two solutions, as well as how training employees becomes more cost effective due to a lower learning curve.

Read complete blog post here:  https://www.ibmbigdatahub.com/blog/how-amc-uses-machine-learning-find-out-more-about-tv-viewers