New AI and cloud capabilities for ThinkAnalytics content discoveryFriday, September 4th, 2020
ThinkAnalytics leaps forward with cloud-native AI Content Discovery Platform
LONDON and LA — ThinkAnalytics today announced it has boosted its market-leading content discovery platform with significant new AI and cloud-native technologies. ThinkAnalytics Cloud Content Discovery Platform Version 10 delivers increased user engagement, more business control and new operating efficiencies, alongside proven massive cloud scalability to over 50+ million users, auto-scaling and self-healing.
The platform features new machine learning algorithms and techniques for recommendations as well as the industry’s most extensive selection of use cases to meet business requirements across all devices. By combining algorithms and techniques in a single use case, customers have more flexibility when creating dynamic user experiences personalized for every viewer – boosting satisfaction and engagement.
Customers are able to run the ThinkAnalytics Cloud Content Discovery Platform across multiple AWS availability zones to manage and optimize costs and availability. Designed to help video service providers compete more effectively by offering a personalized user experience, the intelligent cloud-native platform has the flexibility to meet viewing demands, yet keeps cloud costs under control with each service auto-scaling independently of each other.
Using AI to predict loads, ThinkAnalytics auto-scales in advance of peak viewing, such as appointment-to-view live sports events. The platform can scale to support hundreds of millions of viewers. The new platform delivers high levels of resilience with the ability to self-heal at an individual service level; if a cloud service fails, it is automatically replaced with a new instance, ensuring service continuity for viewers.
For the editorial teams, ThinkAnalytics Editorial Campaign Intelligence comes with an updated editor console which includes manual curation tools for title-specific promotions, and gives video service providers the opportunity to blend advanced AI personalization with deep human expertise for the best of both worlds.
As with previous versions of the ThinkAnalytics Cloud Content Discovery Platform, the management console makes it quick and easy to change use cases and configurations on the fly and then deploy to test or production environments without impacting customer systems. It also includes a dynamic personalized UX engine to deliver a customized user experience for each viewer, and, with A/B testing, it is easy for marketing and product owners to make incremental improvements quickly and effectively without the need for IT projects/expertise.
Furthermore, an enhanced ThinkInsight big data platform presents all viewing metrics and insights with instant KPIs to aid decision-making in areas such as UI/UX, the most popular carousels, content acquisition, content upsell, churn, customer satisfaction, and marketing services.
The majority of ThinkAnalytics’ customer base now runs in the cloud with a number of deployments serving over 50 million monthly active users and over 20,000 requests per second. ThinkAnalytics’ platform is delivering 6 billion content recommendations per day.
“Video service providers who understand the value of the engagement economy can now build deeper, more sustainable relationships with Version 10. Just as the FAANG business models are built on analyzing consumer behavior, we too are helping our customers use deep learning to draw out valuable insights to personalize viewing experiences. The result is increased subscriber engagement, improved customer satisfaction and reductions in churn,” said Peter Docherty, ThinkAnalytics CTO.
“Our new cloud-native platform draws on many years of large-scale operational experience with some of the top TV operators worldwide. Our customers can benefit from the latest cloud technology safe in the knowledge that our platform delivers the industry’s highest levels of business benefits and customer engagement while minimizing infrastructure costs, and maximizing resilience and scalability,” Docherty added.