Everything About AI & Entertainment Industry

Some of the Major uses cases of AI in the entertainment industry as follows: 

1. AI use in Netflix & Amazon Prime to Find Your Next Binge

Streaming service which offers online streaming of a library of films and television programs is highly dependent upon AI to provide recommendations by your past viewing history to deliver suggestions for what you might want to watch (including genres). Its tool gets as specific as what time of day you were watching and what you traditionally like during that time frame. In fact, 80% of what we’re watching is driven by Netflix’s recommendations. And so it will be hard to imagine any of our days without the help of AI.

2. AI use in Gaming Industry 

AI makes a major difference in achieving technical goals in many fields including the gaming industry. Through data labeling, we get better results and are provided with advanced techniques and tools to make impossible things possible. Video game creators are working on these two majors to bring players into the worlds of games. 

AR and VR are taking this a step further and thereby bringing innovation and so excitement among the game-freaks and the platform bringing the best experience to players via the Smartphone devices. Designers are trying to create the best virtual world that properly orients direction, adjusts in perfect real-time as per the movements made by the gamers and so will be more successful in the next few years and will surely bring the gaming technology to greater heights.

3. AI use in Subtitle Generation 

These days for proper rotation of content in different regions and different parts of the world.  Multilingual subtitles for video content is very necessary and so AI comes into the picture as manually writing subtitles for multiple shows and movies in many languages may take hundreds or even thousands of hours and proper human translators which can also be prone to errors. To eradicate these problems media companies are appointing AI-based technologies like natural language processing and natural language generation that provide accurate and effective results in the generation of subtitles in many languages. 

4. AI use in Content Personalization 

Offering content to people in different regions according to their taste and requirements is a very difficult task. So personalized recommendation is very important to enhance the user experience. Many companies like Spotify and prime are using AI and machine learning algorithms to study individual user behavior and demographics to recommend what they may be most interested in watching or listening to and like this AI helps to enhance the user experience throughout. 

AI & ML dictates a new approach to business – one that requires plenty of data and then where Data annotation comes to picture and is an indispensable stage of data preprocessing in supervised learning. Artificial It’s a crucial task for machine learning because data scientists need to use clean, annotated data to train machine learning models. Learning spiral has a workforce with a diverse set of skills and the ability to deliver data annotation and data labeling services at scale. We have a rich history of 15+ years of handling sensitive data on a large scale. 

Unstructured Data – Data Labeling & Data Annotation – Train machines – Run algorithms – Quality results for  Entertainment Industry

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