By leveraging our approach to deploying machine learning (ML) workloads, we’ve boosted predictive analytics for a leading entertainment provider. This resulted in helping the company gain valuable insights into customer behavior and preferences, enabling them to make data-driven decisions and improve overall customer satisfaction.

In this case study, you’ll learn:

– Adaptable and scalable approach for integrating ML and predictive workflows

– Overcoming desultory, un-unified data sharing

– Transition to a Cloud-Agnostic Approach

– Identify Churn With ML and Predictive Analytics

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