AI solutions could transform several key areas in communications and entertainment. Most importantly AI could bring the personalization of recommendation systems to a new level (automating media archiving and search, bringing together diffuse content to the user) and eventually enhance the customization of content creation (not only advertisements but also film, music, etc.).
Ericsson, in its latest consumer report, describes the current Content Discovery Crisis: ‘Today, consumers have access to more content than ever, but with a more fragmented market, which in turn leads to a more fragmented user experience, they are struggling to find something to watch.’ Companies can now collect massive amounts of user data to feed their recommendation systems, and employ machine learning to analyze that data and create ever more nuanced user taste profiles and content filters – to match the viewers with appropriate videos, TV shows and feature films, ensuring an increase in the website’s ‘clickability’ (e.g. 75 percent of activity on Netflix can be linked back to the recommendation system). To learn more personalization and use of AI in media, you can check out solutions.
The most successful entertainment products and services in the digital world rely on connecting creative content, brands, and experiences with specific audiences. The typical person’s media diet is, in effect, already designed by computer-based ‘nutritionists.’ AI can supplant the human in performing repetitive tasks – newsletter curation, creation and distribution, content tagging, content editing, creation of summaries from sports events, fact-checking etc. – while improving the consumer experience: enhancing recommendations, personalizing curation, and introducing digital assistants that guide him or her through the overabundance of content online.
Artificial intelligence is starting to transform the role of creativity, as cognitive systems can now simplify the creation of content – with examples ranging from Facebook’s Timeline Movie Maker, to IBM’s ‘cognitive movie trailer’ created by an AI that ‘watched’ the movie and then identified ten sequences that could be edited into an ‘ideal’ (most impactful) trailer. In the future, similar AI editors could also automatically personalize content to meet individual needs of viewers.
Introducing AI in entertainment would not only maximize the revenue and content licensing, but also help humans make better creative decisions thanks the insights gained from social media.
