Artificial intelligence keeps track of all the sensors in a system, allowing it to spot possible problems before they happen. Long before it impacts the vehicle's performance, Artificial Intelligence (AI) can easily detect any alterations that could suggest failure.
FREMONT, CA: For a long time, autonomous driving has been the primary worry of the automotive industry. Without AI, this groundbreaking concept would not be viable.AI has been rapidly used in a variety of fields. However, the benefits it provides to the automotive sector are currently a hot topic.
Automakers and technology firms are competing to develop the most advanced AI and self-driving technology. AI's applications in the automobile industry are not restricted to self-driving cars. AI and machine learning also aid in safety and connectivity. Furthermore, innovative technologies are now being used in the production process.
Here are some use cases to help businesses figure out where machine learning and AI fit into the automobile industry:
Cloud Services
Vehicles that are connected create a lot of data. Autonomous vehicles are estimated to generate 4,000 GB each day. All of this data is accessible at all times, thanks to AI cloud platforms. The following are some of the advantages that cloud services provide:
Personalized Marketing
Advertising is a cutthroat market. It necessitates the personalization of adverts for effective marketing. Furthermore, to target qualified prospects, one must wade through uncategorized data, which is inconvenient. Cloud platforms that are AI-based are the ideal option. Their link to big data and vehicle entertainment systems can be leveraged to provide drivers with customized recommendations. In this example, AI's value lies in the fact that it recognizes the driver and may make relevant offers based on their location.
Predictive Maintenance
People have now grown accustomed to seeing oil and check-engine lights on vehicles. However, networked cars are capable of much more. AI keeps track of all the sensors in a system, allowing it to spot possible problems before they happen. Long before it impacts the vehicle's performance, AI can easily detect any alterations that could suggest failure. An automotive business and technology giant teamed up last year, indicating their interest in the future of automotive cloud computing. The automobile manufacturing behemoth was able to give its clients predictive maintenance and over-the-air software updates due to this relationship.