Artificial Intelligence in the Entertainment and Media Industry

Introduction

Artificial intelligence has advanced significantly since its inception in science fiction to the point that it is now a vital component of daily life and is present in most of the gadgets we use. It has developed into a disruptive force that has profoundly altered the corporate landscape by boosting production efficiency by 40% and fostering the expansion of all sub-verticals across a range of industries, including manufacturing, finance, and healthcare. In the media and entertainment sector, where AI is now front and centre, this technology has been revolutionising how people see all films, TV shows, sports, and much more. By developing tailored services for millions of clients who are browsing, purchasing, or viewing video sites online, many businesses are turning to AI technology to grow their businesses.

The search experience for users is optimised by artificial intelligence, which also enhances the production and content generation processes. We have witnessed a quick change in the way material is delivered to us, with platforms like Netflix and YouTube quickly taking the place of conventional media outlets like radio and TV. Regarding media consumption, it has produced an infinite number of options. Companies are improving the amount and quality of material they produce in order to draw in more customers since they may get a lot of value from it.

Content Personalization

Video streaming platforms like Amazon and YouTube cater to the different tastes and preferences of people coming from various backgrounds and belonging to different demographics. AI and Machine Learning algorithms are leveraged to observe human behavior, their specific inclinations, and population data to recommend what the viewer may be most interested in seeing or listening to, thus offering them a highly personalized experience.

Metadata Tagging

Metadata Tagging requires one to watch multiple videos in order to identify certain items, scenes, or places in the video, making it a monumental undertaking to sift through the innumerable bits of content that are produced every minute and classify and tag them into categories. However, media producers and distributors may now categorise things and add tags by looking at the frame-by-frame content of films using AI-based intelligence tools for videos.

Reporting Automation

The data that media companies receive on weekly basis comes in the form of bulky excel sheets that are quite daunting to evaluate and analyze for analytic teams. Therefore, media companies are leveraging AI to help them make strategic decisions. Leading entertainment companies are leveraging machine learning and automation based on NLG reporting to enhance their channel weekly reports. With simple language commentaries, business leaders are now able to procure and implement meaningful learnings from these reports to provide accurate information to make valuable data-driven decisions.

Subtitle Generation

International media publishing organisations must include multilingual subtitles for their video material in order to make the subject matter appropriate for viewing by viewers in different countries. To produce subtitles for several shows and films in different languages manually would take thousands of hours of labour and a lot of personnel, and human translators are prone to making mistakes. Media businesses are utilising AI-based technologies like natural language generation and natural language processing to automatically create subtitles for visual material in order to get over these obstacles.