Andrew Bonwick
Vice President of Product Development at Relm Insurance
Madhav Sheth
CEO of Ai+ Smartphone
Stephen Rose
CEO Render Networks

The major DTH provider, Tata Sky has come up with a new feature for its subscribers providing personalised content recommendations on the Tata Sky Mobile app and the official watch.tatasky.com website. To enable this feature, the DTH provider is using personalised content discovery and recommendation from ThinkAnalytics. It is worth noting that this new feature will help the subscribers in getting relevant recommendations based on their previous viewing patterns to discover new shows, movies and channels which will be more suited to their liking.

Feature to Use AI and Machine Learning Engine to Recommend Content
Tata Sky has decided to go with ThinkAnalytics’ solution for making content recommendations to increase overall viewer engagement. This would also enable users to find content to watch online easily. The recommendations and the personalisation will be made through the use of ThinkAnalytics’ AI and machine learning technologies which will be based on subscribers’ viewing behaviour.
The ThinkAnalytics’ recommendation engine will make recommendations to the viewers based on many parameters like genres, language and even cast preferences based on their last visit to the platform. Notably, the engine will help Tata Sky in scaling through the database of its millions of subscribers and would boost its viewer engagement. The Tata Sky mobile app also already offers 400+ live channels along with 5,000 TV and mobile titles on their laptops and iOS and Android devices.
ThinkAnalytics CTO Peter Docherty commented on this new development, “Tata Sky is using our enhanced metadata management solution and viewer behaviour analysis to differentiate its OTT offering and demonstrate technology leadership in India. Not only do users now benefit from an experience tailored to their tastes, but we are helping Tata Sky’s business win with increased viewer engagement.”
Tata Sky Mobile App Additional Features