Technology Impact on Auto Industry

Technology Impact on Auto Industry

Technology Impact on Auto Industry

Technology plays a major role in the world of auto manufacturing. Whether it’s developing self-driving cars or new digital manufacturing techniques, technology is constantly evolving. Fortunately, there are plenty of ways to keep abreast of the latest technological innovations in the automotive industry.

Assisted driving vs autonomous driving

Assisted driving and autonomous driving technologies have captured the imagination of consumers. However, the reality of automated driving is still a long way off. Although the auto industry has invested billions of dollars in research and development, the true commercial potential of autonomous vehicles is not clear. Ultimately, the industry needs to develop new business models and sales strategies to compete in this emerging market.

According to the McKinsey Center for Future Mobility, autonomous driving is expected to generate hundreds of billions of dollars before the decade is over. The emergence of a global standard for ADAS is critical to the success of the technology.

In the upcoming years, auto manufacturers will have to develop new business models, such as subscription services. They may also have to address safety concerns. These changes will require an organizational shift in the auto industry.

5G technology will take navigation to another level

FiveG technology is expected to take navigation to another level, providing higher speeds, more versatility, and reduced latency. It’s set to revolutionize a variety of industries, including transport and manufacturing.

One of the most exciting uses of 5G is to enable intelligent driving. Autonomous vehicles, smart homes, and connected cars will all rely on 5G networks.

Another key use of 5G is for smart factories. These factories promise to improve safety and efficiency, and provide manufacturers with better control over production.

While 5G is still in the testing stage, several manufacturers are already investing in it. Among them are Cisco Systems, Huawei, Intel, Qualcomm, and Altiostar.

With a 5G network, drones can help feed individual plants, sort crops, and other activities. A 5G network will also enable factory robots to communicate with each other.

Digital manufacturing will play a major role in the new industrial revolution

The automotive industry is undergoing a major digital revolution. Its effects on the industry, consumers, and workers are far reaching. This technological transformation will not only improve efficiency, but also create new business models.

Today, manufacturers compete on innovativeness and technical expertise. They use big data and other advanced technologies to design and produce reliable, efficient products. Likewise, consumers demand a more user-friendly experience.

Specifically, the digital transformation of the automotive industry is accelerating. It’s a catalyst for a host of innovations, from new technologies and product designs to improved manufacturing and servicing. These advances are creating opportunities for companies to expand their customer base and increase profits.

One example is the introduction of smart manufacturing systems. These systems allow factory managers to schedule production and address unexpected supply-chain fluctuations. Using data analytics and other tools, these systems can increase equipment utilization and reduce energy consumption.

Adaptive AI allows for model behavior change post-deployment

Adaptive AI is a technology that changes the behavior of an algorithm, based on changing inputs and outputs. The process can be used to increase productivity and efficiency, or improve employee retention. It can be applied in many industries. In the credit risk space, it can help lenders approve more loans while taking on less risk.

An adaptive algorithm is a continuous learning algorithm that modifies its outputs over time, based on new data or previous inputs. These algorithms are capable of optimizing device performance in real time. This capability can also be used to identify potential risks.

One of the benefits of an adaptive algorithm is that it can be re-trained and deployed in real time to meet the changing needs of a production team. While most adaptive systems focus on cloud or networked embedded devices, there are other ways to implement AI.

Audi RS7 system contributes to transport autonomy

Audi’s self-driving RS7 system will be on display at the end of the DTM season at the Hockenheimring in Germany. The car is equipped with eight-speed tiptronic, brakes, and electromechanical power steering. It is also fitted with seven full-frame cameras and three microphones to record reactions of passengers.

In addition, Audi’s piloted driving system will be installed in the luxury Audi A8 due to hit the market in 2017. Besides its braking system, the A8 will feature two steering systems.

Audi’s piloted driving system enables the car to take control of the vehicle when driving in traffic jams and during freeway or parking conditions. Moreover, it helps reduce stress.

The system uses sensors to compare the vehicle’s location with the surrounding environment. The information is fed into a computer that determines the vehicle’s position.

Vicky Zen

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