More and more content is being made available to different demographic and socioeconomic groups. The content assortment and positioning that’s offered to viewers is very general and nonspecific to the makeup of the groups viewing it as well as to where and on what device the viewer is consuming it. Offering in-congruent content assortment risks hampering viewer engagement.
Goals and Objectives
Enables incorporation of curated and intelligent content assortment to respond to their diversified customer base and the contextualization of programming that is informed by data about the person and the dynamic state of his/her world based on what is happening, said, needed, and expected “now” in the context of increasing user engagement
Cloud, IoT, timestamped geo-spatial analytics, unstructured data analytics, customer journey analytics, natural language processing, predictive behavioral analytics, natural language expression, trade-off analytics, descriptive analytics, diagnostic analytics, predicted analytics, perspective analytics, IoT, cloud, and machine learning/AI
Use Case Summary
Curated and contextualized content enables the provision of proactive, automated, contextualized, and targeted content that caters to the specific backgrounds of the viewers and is relevant to viewers’ behaviors, location, needs and, in the context of the viewers’ current world, enhancing potential viewer engagement and monetization opportunities.