ThinkAnalytics today announced that its content discovery and viewer engagement platform is fully integrated with Amazon Personalize. Media and entertainment service providers now have a choice of complementary personalized recommendations solutions running on the ThinkAnalytics platform in the AWS cloud for real-time personalized user experiences at scale.
Working with the Amazon Web Services (AWS) technical teams, ThinkAnalytics has integrated its platform with Amazon Personalize APIs and automated the process of training the ML models. ThinkAnalytics ensures the highest standards of customer deployment with a team of AWS certified consultants who have Amazon Personalize expertise. Personalization of the viewer experience is proven to deliver increased viewing/purchasing, higher satisfaction and perceived value for money, leading to reduced churn.
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Peter Docherty, CTO of ThinkAnalytics. “This initiative underscores our long-standing commitment to help customers take full advantage of the latest machine learning techniques, massive operational scalability and AWS services. Deploying on AWS ensures support for the peak loads at scale that are required in the media and entertainment sector, while minimizing costs. Integration with Amazon Personalize now extends customer choice, giving customers the flexibility to choose the recommendations solution that best suits their requirements.”
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“Amazon Personalize enables developers to build applications with the same machine learning (ML) technology used by Amazon.com. ThinkAnalytics worked closely with AWS solution architects and service teams to integrate Amazon Personalize into the ThinkAnalytics Content Discovery and Viewer Engagement Platform. ThinkAnalytics customers can now benefit with real-time content recommendations powered by the same technology and complementing the ThinkAnalytics product suite,” said Darragh O’Flanagan, Senior Partner Solutions Architect, EMEA ISVs at AWS.
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Amazon Personalize allows developers with no ML expertise to build applications and deliver a wide array of personalization experiences, including specific product recommendations, personalized product re-ranking, and customized d***************. Available as a fully managed service, it trains, tunes, and deploys custom ML models to deliver highly customized recommendations to customers.
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