How artificial intelligence is revolutionizing the media industry?
The media and entertainment industry is also utilizing the power of Artificial Intelligence (AI) in making the visual content more interactive and interesting. It is helping to serve the audience a data-intensive and personalize automated content making their viewing experience more interesting and entertaining.
While on the other hand, the entertainment industry needs such innovative technology to make the audience experience more enjoyable and user-friendly. AI companies are also consistently working to integrate this technology into various sub-fields of the entertainment sector improving its efficiency.
AI Applications in Media and Entertainment
The application of AI in media and entertainment is witnessing rapid growth especially in terms of distributing and showing visual content. Media companies face challenges while developing the content in high quantity while ensuring the quality, hence they adopt AI to achieve this objective.
How is personalized content created ?
From music app to OTT platforms, the audio, as well as visual contents, can be personalized as per the preferences and previous experiences. Using machine learning, users behaviour and demographic details, music or videos are recommended like what kind of movies they like most.
AI using advanced machine learning algorithms and deep learning networks helping in delivering personalized content to users. And this kind of highly personalized experience for users helps media or entertainment companies increase their user base and offer a better service compared to their competitors.
Audience based advertising
The best example is Google Adsense and Adwords that can use the user’s history like what kind of products they were searching for or browsing on web or eCommerce sites. And this kind of AI-based sensing helps AI to show the ads as per the user’s preferences. It helps advertisers to target the right audience and get maximum outputs from the Ads.
Online Content Broadcasting
Controlling such content is mandatory from the regulatory authorities. Again AI helps here in detecting and filtering such objectionable contents. AI can identify the user’s age and gender before showing such content or using the automated content moderation service by cogito to moderate the objectionable content before broadcasting with the audience category ratings like suitable for children or only for adults.
Meta Tagging Subtitles & Automated Transcription
Content published in the media and entertainment industry needs to make comprehensible to the audience. Hence, AI can help in identifying the videos and other online content to classify them with meta tags and descriptions. Apart from that movies, music videos and TV shows are transcribed into different languages using AI-based technologies like natural language processing through machine learning and deep learning. The voice of movies is converted into different languages with subtitle and audio annotation to make it understandable to a wider populace for more engagements of the users.
Also Read: What is Transcription and Its Types
Virtual assistant chatbot open source
AI-based virtual assistance is also playing an important role in the media and entertainment industry. OTT and online music platforms are assisting their customers to solve their queries and offer a hassle-free music experience.
These AI-based virtual assistance applications are also helping the media companies gather useful chatbot training data like users preference, their experience while using your service or any kind of other suggestions regarding your online platform.
Also Read: How AI Chatbots Customer Service Enables Better Business Performance
Exploration of social media for sentiment analysis using deep learning
Unofficial media sites like social networking platforms and messaging applications providing a free place for to users share their opinions and views on different topics. Analysing such discussion of different age group or people from different regions or demographics provides useful insights about the different people.
To analysis the content published on social media sites, sentiment analysis is the technique used by many companies. And once such data is gathered, is again used for machine learning to develop the AI model that can analyse the sentiments and feelings of people interacting with each other unofficially at such platforms.
Also Read: Sentiment Analysis: Types, How it Works & Why it is Difficult
With these AI use cases in media and entertainment, I think you get an overview of how AI applies to various sub-fields. However, for developing all types of AI applications or systems you need a huge amount of machine learning training data. As much as training data is available to develop the model the performance of AI would be better helping the users get the best results in various scenarios.
Cogito offers training data for machine learning and AI with expertise in creating high-quality datasets for computer vision & NLP based models. It is also involved in content moderation and data processing ensuring the data security and privacy of the clients delivering them a highly secured data labeling service. This blog originally published by Cogito
