The digital world has spawned ubiquitous connectivity needs. Today, consumers want to enjoy a variety of digital experiences, even in the office, at home, or anywhere else. Driven by this demand, cars are undergoing a transition from vehicles to giant mobile devices. It is estimated that by 2020, there will be 152 million connected cars on the road, generating 11 PB of data per year1. From the proliferation of mobile devices to the boom in the Internet of Things, various technological forces are accelerating this shift, making cars an integral part of today's information networks. Now, cars can both receive data and send data to the cloud, transportation infrastructure, and other vehicles. Whether we can fully exploit the value of connected cars is directly related to these data.
Elliot Garbus, Vice President, IoT Solutions, and General Manager, Automotive Solutions, Intel Corporation
Opportunities in the IT world
At present, the car has generated a large amount of data, and with the expansion of various functions, the amount of data will only increase further, and the car will become a major data manufacturer. IT managers should now consider how to extract meaningful information from them for business model improvement. At the same time, the driver can adjust the privacy settings according to his own preferences and decide how much data to share. By analyzing the data, car manufacturers can better understand the user and the conditions inside the car. In addition, the data helps market, engineering and IT organizations work together to improve the in-car experience. By leveraging CRM data and improving understanding of driver behavior and preferences, automakers can better meet user needs and provide the right experience at the right time, such as issuing fatigue warnings to drivers, warning of car failures, and then proactively helping. Solve the problem, actively observe the development trend and prepare for it to prevent it from happening. More importantly, on this basis, automakers can effectively reduce costs and develop better cars.
Call for big data analysis
Through multi-layer data analysis, we can implement new services such as traffic accident warnings and weather forecasts. Data is transmitted from the vehicle's sensors to the cloud, real-time access to the information the driver needs today, which means that the car must have the ability to analyze the data autonomously and to request cloud feedback. Automakers need to consider the entire data processing cycle, including automotive and cloud, automotive and transportation infrastructure, and data transfer between cars. From sensor controllers to gateways, from the cloud to the client, from the car to the infrastructure, every step involves the extraction of valid information and the mining of data values. The results of the data analysis will then be shared with other vehicles and the transportation infrastructure, and recommendations will be submitted to the driver to prevent problems before they occur.
By knowing all the vehicles they produce, car manufacturers are able to provide better service to car owners. For example, when there are some problems in the car, the user can ask the car manufacturer for the first time whether such a situation requires high repair costs or any safety hazards, or even make an appointment for repair service or pre-book parts according to the data analysis results. Minimize the inconvenience caused by these problems. In order to support autonomous driving and advanced technologies such as Advanced Driver Assistance Systems (ADAS), powerful computing capabilities are indispensable, requiring vehicles to establish high-speed connections with secure and reliable data center backbones for group data analysis in the cloud.
Ensure security and privacy
As more and more vehicles and transportation infrastructures are interconnected, it is critical for car manufacturers and users to securely and reliably store and send and receive data. Information security and vehicle security are inseparable because malicious attacks from the virtual world are likely to lead to real technical failures. The advancement of advanced technology is closely related to the speed with which automakers respond to these requirements. Vehicles also need to make quick and accurate decisions based on these data and their sources. Only by adopting the multi-layer analysis mode, the vehicle can make full use of the data and conduct independent analysis. In addition, the risk of theft of all connected cars can be reduced while protecting user privacy.
Future driving experience
According to a survey, almost half of Americans want to have driverless cars, and more than one-third of them believe that they can achieve this in the past 10 years. As the concept of autonomous driving becomes more sought after, automakers must rethink how to design a new car and turn it into a multi-system operating platform that can communicate with each other, collaborate and proactively provide effective advice. Intel is actively using its innovative technology and expertise to work closely with the automotive industry to help drive new in-car experiences!
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