Different industries today are adopting AI techniques to improve user experience in their own domains. AI in media has one of the most significant impacts on users with a high percentage of people resorting to media entertainment while being confined to their homes for the better part of the last two years. Subtitling, for example, has opened doors to the consumption of content from all over the globe, and has broken barriers of language that long restrained content consumption for users. As alluring and attractive as these new AI solutioning services may seem, on the backend, it has increased stakes for developers who have had to deal with a whole new list of challenges while dealing with this new technology and its limitless scope.
Understanding the Different Use Cases
As a developer, it is important to be able to understand a given business use case and decide whether pursuing the same with the help of artificial intelligence is the best approach. In the media industry, use cases like video subtitling and recommendation systems for content are appropriate to use cases that can leverage the abilities of artificial intelligence. Meanwhile, use cases like automation for managing equipment required in a studio may already have better-implemented solutions in the market that can be utilized rather than using AI. Being able to make the right call at the very beginning is a challenge for some developers.