AI and its Benefits in Media and Entertainment

Media Entertainment Tech Outlook | Friday, June 19, 2020

AI and its Benefits in Media and Entertainment

The times when artificial intelligence (AI) was associated with humanoid Asimov-type robots are over; starting from healthcare to shopping, AI is everywhere.

FREMONT, CA: Conversational AI has effortlessly changed the course of the game for customer service and what companies can gain with digital interfaces. Chatbots are omnipresent – in banking, online shopping, and food delivery, but their presence is not registered to the user. With advancements in natural language processing (NLP), machine learning, and advanced text-to-speech, the customers can establish a conversation so naturally that there is no need for human agents.

This time is very exciting for AI in the media and entertainment space. New technologies like virtual reality are pushing the boundaries of world-building and immersive gaming experiences. While the algorithms of streaming giants are always evolving, they are rather blinkered. They rely on the history of what people have consumed – on their past watches. People have diverse preferences and varying moods, and they don’t always want to consume the same kind of content and the same genre or the same content creators.

With unprecedented access to content in television and streaming services, ‘what to watch’ has become a common problem. But on the brighter side and with advancements in deep learning and cognitive AI, and rich media chat platforms, perceptive bots capable of picking up context cues and learning from conversation can now help the customers figure out what to watch. Software companies can soon develop a friendly, intelligent bot with the sophistication and adaptability to assist in narrowing down the broad preferences.

Furthermore, the bot is capable of much more. It holds repositories in multiple languages and can show a selection from various styles if the customer is multi-lingual. It can show recommendations and suggestions based on past choices, switch languages on preference. It can grow with feedback, picking up vocabulary and understanding a more significant number of requests daily, making and storing new connections, and continuously analyzing trends and conversation flows.

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