UseCasesFor.ai

AI Use Cases

A collection of over 250 uses for artificial intelligence

A continually updated list exploring how different types of AI are used across various industries and AI disciplines,including generative AI use cases, banking AI use cases, AI use cases in healthcare, AI use cases in government, AI use cases in insurance, and more

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Personalised experiences

Introduction

In the world of the entertainment business, the application of ML and AI has introduced a new level of experience based on personalization. These technologies are being employed more and more to monitor the consumers’ behavior, understand data and identify patterns to create insights that can be used to craft the content in a way that would be most relevant to the target consumer. Starting from video on demand services such as Netflix and Spotify to gaming platforms as well as theme parks, ML AI is changing the face of how entertainment is consumed. The aim is to develop highly interactive and satisfying experiences for each consumer to improve the level of engagement and commitment.

Challenges

However, there are several challenges that have to be addressed in order to achieve the goal of providing personalized entertainment. The first challenge is the issue of data; there is a lot of it and it is all very sensitive. When it comes to millions of users watching content on a daily basis, organizing and capturing the data becomes a huge challenge. Also, the issue of privacy presents a number of challenges. This is especially because issues such as GDPR make it compulsory to handle user data in the right manner while any form of violation may have severe legal consequences. Determining and encoding the intricacies of personal tastes and even replicating them in a given context is another big challenge. Errors can cause discomfort to the users and may lead to loss of business. Last but not the least, the rate of technological growth calls for frequent enhancement which may be costly.

AI Solutions

These challenges can be addressed by AI and ML in different ways. To handle big data, ML algorithms are capable of processing and analyzing data in a short time and with high level of accuracy for identifying trends and patterns that can be used for creating personalized content. By ensuring that user data is anonymised AI can also maintain data privacy. This is where predictive analytics, which is powered by AI, comes in handy as it is used to make accurate assumptions of what users may require based on their history and interaction. This is implemented in various platforms such as Netflix’s recommendation engine or Spotify’s Discover Weekly playlist and many more. In order to address the issue of how to adapt to the changes brought about by technology, there are AI-based training programs that support the concept of continuous learning.

Benefits

There are a variety of ways in which ML AI can be used to personalize entertainment and the advantages of doing so are more than obvious. This is because personalized content is effective in engaging the user and building loyalty, thus increasing the time spent and revenue. It also helps in proper resource management since the content can be well focused. This is because it also helps in avoiding wastage and increases efficiency. Furthermore, it also ensures privacy and this is very important in the current world. Lastly, the information derived from AI analysis can help in making proper decisions hence yielding better results.

Return on Investment

Even though there is a high initial cost of implementing ML AI, the benefits are numerous. For example, Netflix which has put a lot of resources into its recommendation system stated that 75% of the viewer’s activity is as a result of recommendations made by the company. This means that the retention of viewers is high while the cost of acquiring them is low. Also, Spotify’s personalized playlists have greatly enhanced user engagement, which in turn has boosted ad revenue and premium subscription. Hence, although the ROI may not be seen in the short run, the future returns can be enormous.

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