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Personalised In car entertainment

Introduction

As we move forward to the new age where technology grows at the speed of light, the automotive sector is not left behind either. The convergence of Machine Learning (ML) and Artificial Intelligence (AI) in In-Car Entertainment (ICE) has become the new trend in the automotive sector. The use of ML AI has changed from the normal application to personal entertainment systems in the car to improve the experience of the driver and passengers. This includes the incorporation of intelligent systems that are capable of learning from the user in order to offer personalised entertainment, navigation as well as safety options. Tesla, BMW, and Mercedes-Benz are some of the examples of the leading automotive companies that have already adopted this change.

Challenges

There are, however, a number of issues which need to be addressed in order to further the use of ML AI in personalised in-car entertainment. A key issue is the problems associated with data privacy and security. In view of the fact that AI systems capture and analyze massive volumes of data, there are questions as to how this data is handled and whether it is secure. Also, the problem of how to create easily understandable interfaces that are capable of incorporating complex AI functions is also a challenge. Other barriers are regulatory, for example there may be limitations on the use of some AI features and the costs of implementing AI systems into automobiles are prohibitive.

AI Solutions

There are certain AI solutions in the automotive industry which can be effective in solving these problems. The algorithms can be developed in a way that will ensure the highest level of security of the data of the users. The sophisticated ML models can be used to learn about the user’s behaviour and preferences, which makes the system capable of offering personalised entertainment. AI can also assist in developing good and friendly user interfaces. For instance, the Mercedes-Benz User Experience (MBUX) incorporates AI to develop a cognitive and contextualised multimedia system. Tesla has also adopted AI in their vehicles to suggest music and navigation options in real time according to the user’s profile and his or her preferences. In addition, it is possible to decrease expenses due to the application of AI in different processes of the production line.

Benefits

There are a plenty of reasons to use ML AI in personalised in-car entertainment. It can improve the satisfaction of the users and make the car trips more interesting through providing personalized content. It can also increase the safety of the drivers by analyzing the driving behavior of the driver and suggesting dangers ahead. Real-time information on traffic and navigation can also be offered by AI, which depends on the user’s preferences and his/her past activities. Also, it can assist the automotive companies to be unique in the competitive market since they provide unique features.

Return on Investment

It has been seen that investment in AI for personalised in-car entertainment can be very fruitful. A report by McKinsey states that AI has the potential of adding $215 billion of profit to the automotive sector by 2025. The report also reveals that AI can cut production costs by as much as 20%. Furthermore, AI has the potential of increasing sales through providing uniqueness and innovation that can appeal to the customers. For instance, Tesla Autopilot which is an AI enabled driving intelligence system has been a key feature of the Tesla cars.

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