Prism is described as a Data-Hub-As-A-Service that enriches the content supply chain data from Mediagenix’ media business platform What’sOn with third-party, in-house and open data sources. The data platform is set up with a short ‘Time to Value’ and can scale to accommodate changing needs and new use cases.

Product Manager Lucas Denys said: “If you want to successfully deliver BI and AI applications that improve your content supply chain, you need to connect data assets from all relevant steps in that content supply chain into a qualitative and trustworthy Data Hub. Prism leverages our industry expertise to combine all data assets into one unified data model embodied by a modular data platform.”

Mediagenix Spectrum is a service for fast-tracking a Proof-of-Value for BI and AI applications that visualize and optimize content ROI.

Denys says: “In order to speed up the time-to-value of data investments, we have designed a dedicated project approach where our innovation analysts will work with our customers to pinpoint promising use cases, explore potential solutions, and create a Proof-of-Value for those, all in a time-boxed manner. The entire process is gated so that our customers can always make an informed decision on the next stages of the project.”

One area where Mediagenix believe they can create a lot of value for their customers is audience engagement prediction in all kinds of different contexts. They have already developed a state-of-the-art ratings prediction algorithm for linear TV, which automatically forecasts the ratings of content and breaks with an accuracy that outperforms human experts by about 25%.