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Enterprise AI

Automating AI Predictive Model for Media and Entertainment Industry

Dr. Jagreet Kaur Gill | 08 Dec 2022

What are the Challenges of the Media and Entertainment Industry?

Media and entertainment need to find better solutions to determine which type of content is the real driver of sales to focus on their resources. Nowadays, several apps are available for entertainment, so grabbing customers and increasing customer retention is tough. Although acquiring new customers is very important, it is just as essential to retain existing customers. Not only this, Media and entertainment enterprises also possess a vast amount of data provided by the customer with their clicks. The speed of its analysis is a valuable factor, and in managing that data, finding insight is slow. It is a major problem that companies are facing today.

Solutions for the Media and Entertainment Industry

  • Our model will help you know which type of movies/series are mainly liked in a particular location and which category (thriller, action, romance, mystery, drama)is in the most demand.
  • We are collecting data from customers and media articles that companies possess. Our model will predict revenue generated this year and rating for this particular series/movie using that data.
Through this, you will get an idea of what % we are achieving and where we need to improve.

Artificial Intelligence for the media and entertainment industries

Real-Time Streaming

Real-time streaming is advantageous to both the broadcaster and the viewer. The viewer experience is improved by AI's assistance in personalization, packaging, and real-time content transmission. Enabling customized ad insertions also aids in boosting ad sales. Digital billboard replacement options maximize the revenue from live sports event advertisements.

Content and recommendations that are personalized for you

Based on the user's preferences and prior experiences, audio and visual content can be customized in various ways, from music apps to OTT platforms.AI uses deep learning networks and sophisticated machine learning methods to deliver personalized content to users. Additionally, giving customers a more customized experience enables media and entertainment companies to increase their user base and outperform rivals in terms of service.

Predictive Analytics

By examining viral media content, predictive analytics can be used to determine which content is preferred by audiences. Advanced analytics skills are essential when it comes to changing content, marketing tactics, and product offerings.
advertising to a particular audience online.Online advertisements are crucial for brand development and business growth in the media industry. To improve conversion rates, AI is also used to make online advertising more precise and effective with a targeted audience.

Customizable chatbots for virtual support

Artificial intelligence-based virtual assistance also plays a significant role in the media and entertainment sectors. OTT and online music platforms help customers by resolving their problems and offering a hassle-free music experience.

Why Xenonstack?

One can request the Machine Learning predictive model's demo by clicking on a demo button. That will represent summarised information of the Location from where we are grabbing maximum customers along with a category. This will also help predict the number of customers grabbed this year and revenue generated through different categories like action, thriller, drama, and many more.

video and computer games

AI is frequently used in video games to manage non-player characters (NPCs). NPC reactions to player movement and activity. The importance of AI in contemporary games has increased. By examining a player's prior actions, AI can anticipate their next move. AI models can also be used to identify changes in a gamer's behaviour across a variety of contexts.

Dashboard for Media and Entertainment Analytics

Media and Entertainment Analytics Dashboard

Description of ML Dashboard

The benefits of ML Dashboard in the Media and Entertainment Industry are described below.
  • As we can see in the dashboard, we generated maximum value in January, March, and May, which means demand is high these days due to vacation.
  • Prediction for rating for different categories is also performing very well. We have a maximum rating on thrillers around 4.
  • The bar chart shows that we demand comedy and action movies/series in Goa. Action movies/series are the most demanding category.
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