Loop AI Group Cognitive Computing
7 Case Studies
Case Study: Hewlett Packard Enterprise boosts IPTV pay-per-view revenue with Loop AI Group Cognitive Computing
A Loop AI Group Cognitive Computing Case Study
Hewlett Packard Enterprise - Customer Case Study
Hewlett Packard Enterprise, a leading Asian telecommunications operator with more than 500 million mobile subscribers across 25 countries, wanted to grow revenues from its IPTV pay-per-view business by improving a weak recommendation system. After first using basic metadata and then costly, slow human movie tagging, the company needed a scalable way to enrich a catalog of tens of thousands of titles. Loop AI Group Cognitive Computing addressed this challenge with its Loop Q cognitive appliance and related platform.
Loop AI Group Cognitive Computing implemented a solution that mined movie critics’ reviews as dark data to automatically micro-tag films based on what reviewers found worth mentioning, rather than relying on manual tagging. Using the HPE Apollo 6500 platform for deep learning training, the system delivered scalable recommendation improvements and preserved the legacy environment. The result was a 270% increase in pay-per-view revenue, a 99% reduction in human processing hours, and 100% protection of legacy system investment.
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