ThinkAnalytics integrated its platform with Amazon Personalize and automates the process of training the Amazon Personalize ML models. ThinkAnalytics ensures the highest standards of customer deployment with a team of AWS Certified consultants who have Amazon Personalize expertise. The combination of AWS services and Think360 AI Content Discovery Platform makes extensive use of: Amazon Personalize, Amazon EC2 , Amazon RDS, AWS Lambda, Amazon Simple Storage Service (S3), S3 Glacier, Amazon VPC (NAT Gateway, Elastic Load Balancing), Amazon Elastic Block Store (EBS), Amazon CloudWatch, AWS CloudTrail, Amazon Route 53, and AWS Fargate; among others, providing the most performant and cost-effective personalization solution on the market today.
The integration allows customers to take full advantage of the latest ML techniques, massive operational scalability, and AWS services. Deploying on AWS ensures support for peak loads at scale that are required in the media and entertainment sector, while minimizing costs.
AWS Case Studies
Liberty Global is one of the world’s leading converged video, broadband and communications companies, with operations in seven European countries under the consumer brands Virgin Media, Telenet, UPC, the combined Sunrise UPC and VodafoneZiggo.
Challenge: On premise deployment ran up against performance and infrastructure limitations to deal with increasing demand and peak loads.
Solution: ThinkAnalytics migrated full production environments plus associated non-production systems for all seven European countries to AWS.
Benefits: Flexibility to meet future growth, auto-scaling and self-healing for capacity and resilience/disaster recovery requirements, deploy IT resources to value-added activities rather than infrastructure operations and maintenance.
Deutsche Telekom AG
Deutsche Telekom subscribers were not able to quickly and easily find content to watch, which affected their perception of the value of their subscription and packages resulting in dissatisfaction, lack of engagement and reduced ARPU.
Deutsche Telekom chose ThinkAnalytics on the strength of the company and its technology, its market-leading position, and proven ability to deliver against business KPIs such as deepening subscriber engagement, boosting loyalty and raising ARPU. Another contributing factor was the results achieved using ThinkAnalytics at Croatia Telecom (Hrvatski Telekom, HT).
The ThinkAnalytics real-time content discovery and viewer engagement platform uses AI and machine learning to understand the content and build individual viewer profiles, enabling a personalized user experience for each viewer. This maximizes viewer engagement with the service, encourages the viewer to watch more and retain / increase their subscription.
This deployment supports more than 10 languages, with some countries offering services in multiple languages. With the launch a large scale AWS cloud-based backend infrastructure to support multiple TV services across Europe, Deutsche Telekom has delivered on its vision of reducing churn, increased subscription ARPU and increased viewer engagement with the Pay TV/OTT service. AWS and ThinkAnalytics brought greater flexibility and speed to market, along with deeper insights into viewer preferences and the effectiveness of recommendations, content and user experience
The combination of AWS cloud-based services and ThinkAnalytics real-time content discovery and viewer engagement platform provided a scalable, cost-effective and performant solution to Deutsche Telekom, making extensive use of over 30 Amazon services such as Amazon Elastic Load Balancing (ELB) for high availability and automatic scaling across multiple Availability Zones, Amazon Elastic Block Store (EBS) for high performance storage scalability and AWS Lambda cost-optimized serverless compute service for ease of management providing zero administration, high consistent performance and scalability.
Tata Play, India’s leading aggregated content distribution platform provides content from multiple sources on its Tata Play Mobile App (iOS/Android) and web portal giving their subscribers access to 400+ live channels and over 5,000 TV and movie titles in over 11 local languages. With so much choice, subscribers would find it difficult to quickly and easily find content to watch, resulting in dissatisfaction and lack of engagement. Also important to Tata Play was the ability to scale to the operator’s base of millions of users, as well as boosting engagement and loyalty.
Tata Play chose the ThinkAnalytics solution to enable a new user experience with personalized content recommendations where users can quickly and easily find content online and on mobile devices, boosting overall viewer engagement. The experience is personalized through the use of ThinkAnalytics’ AI and machine learning technologies and based on the subscriber’s previous viewing behavior. The ThinkAnalytics platform now helps subscribers discover content based on the genres, language and even cast preferences based on their last visit to the platform.
The combination of AWS cloud-based services and ThinkAnalytics real-time content discovery and viewer engagement platform provided a proven, scalable, cost-effective and performant solution to Tata Play, making extensive use of over 30 Amazon services such as Amazon Elastic Load Balancing (ELB) for high availability and automatic scaling across multiple Availability Zones, Amazon Elastic Block Store (EBS) for high performance storage scalability, Amazon Relational Database Service (Amazon RDS) optimized for memory, performance and I/O providing cost-efficient, scalable, fast performance, high availability and secure cloud relational database and AWS Lambda cost-optimized serverless compute service for ease of management providing zero administration, high consistent performance and scalability.
ThinkAnalytics is powering a variety of use cases including Personalized Banners, Channels For You, Live Now For You, Catch-up For You, Movies/Shows for You, and Trending Events based on the shows and channels users like to watch. There’s also ‘Don’t Miss’ which brings up episodes of the shows that are watched regularly so that the user never misses an episode of their favorite show.