The definition of cloud computing in the automotive industry can be understood in two different ways. In one aspect, it refers to using the application, data, and computing services to manage information, communication, and computing. In the other aspect, it means using platforms such as Internet-based apps and online digital services to manage car features and data.

The latter refers to artificial intelligence to manage certain car features and data. The automotive industry is a leader in cloud computing. Several carmakers and IT firms are using data to deliver complete software solutions. The new technologies include cloud-based collaboration, artificial intelligence, and augmented reality.

The computer game industry, healthcare industry, aerospace, education, and finance are other examples of companies using cloud computing similarly to the automotive industry.

Online Communication and Information

The main challenge in the automotive industry is the reliability of the software, hardware, sensors, and connectivity. The connected car is one project that uses AI and provides automotive connectivity.

Various connected car projects are based on online communication in the automotive industry. This refers to the car communicating with the external environment through various communication tools. The owner can use their smartphone to receive signals from the vehicle and determine its whereabouts.

The primary purpose of online communication is to monitor the car continuously, making it capable of detecting faults. Once a fault is detected, the vehicle can send fault information to the mechanic. However, online communication is also used for safety, sending specific information about road conditions or even traffic jams.

Artificial Intelligence

Artificial Intelligence is another technology in the connected car industry. It can improve the efficiency of the vehicle and driver. The human being is not perfect, so AI can sometimes take over the decision-making process. It can handle the driver's role so the driver will not be in the place of the decision-maker.

It is also helpful in steering the car in a better way. It can even identify accidents by automatically sending alerts.

Augmented Reality

Augmented reality refers to a 3D display that shows data about the surroundings and notifications. It can be used in the automotive industry for detecting data such as temperature, tire pressure, and fuel levels.

Augmented reality can also help in ensuring the safety of the driver. The Augmented Reality can read the driver's face and detect if they are tired and need to rest.

V2X Communication

V2X stands for the vehicle to everything. V2X technology will make vehicles capable of communicating with one another and roadside infrastructure. In this way, the 3D car data can be used for operating the car, such as speed, obstacle detection, navigation, etc.

Wi-Fi-Based

The availability of wireless technologies such as Wi-Fi is a significant advancement in the connected car. Wi-Fi can easily be installed in most vehicles as it can be used by numerous gadgets such as the telephone, computer, mobile phone, internet-enabled devices, and more.

The only downside of this technology is the limited coverage area. It is only effective in very close range. In other words, the possibility of using it to provide a direct connection to the cloud is minimal; it requires an interface to a long-range communication link.

Technology Evaluation in the Automotive Industry

Over the past few years, there has been an increase in investment in the automotive industry. This added investment has led to the formation of various startups. Automotive startups are being assisted with tools for testing and evaluating the different technologies. The tools make their assessments based on software, hardware, and various vehicle performance parameters.

The software used by the startup includes several tests and measuring parameters like speed, fuel efficiency, suspension, collision detection, etc. Most startups are using Open Source and Open Platform to support their activities. Open Source is another tool for developing and validating various connected car technologies.

Technology evaluation provides a clear picture of the future of the automotive industry. It can even predict the trends that will affect the industry. Technology evaluation will help the manufacturers to stay ahead of their competitors.

Connected car development has become an exciting challenge for automobile and software manufacturers. However, the software and hardware are still not mature enough. The most crucial factor that needs to be considered by automobile manufacturers is the accessibility of the software and hardware.

There is a vast potential in the connected car industry, and various government regulations are expected to support the growth of this industry.

The cost of the technology that will support the development of the connected car will be high, but the market potential will compensate for that. The market is expected to snowball due to the growing use of smartphones and developing infrastructure and regulations.

The companies involved in this market are Ford, Google, General Motors, Volkswagen, Amazon, Apple, FCA, Microsoft, and many others. They are spending a considerable amount of money developing and improving their products to stay ahead of their competitors.

We will soon see more innovations in the automotive industry to develop cars controlled through different intelligent technologies. These technologies will make it possible for connected cars to interact.

Want to become a cloud computing pro? Our Cloud Computing Post Graduate course is all you need to become one. Explore more about the program now.

How You Can Take Part in This Automotive Revolution

Simplilearn offers programs in cloud computing and artificial intelligence/machine learning to help you become an expert practitioner in either field (or both). If you are in the US or the rest of the Americas, consider the Caltech CTME Cloud Computing Bootcamp or Machine Learning Bootcamp. If you are outside the Americas, look into the Caltech CTME Post Graduate Program in Cloud Computing or the AI and Machine Learning Certification offered in partnership with Purdue University.

Our Cloud Computing Courses Duration and Fees

Cloud Computing Courses typically range from a few weeks to several months, with fees varying based on program and institution.

Program NameDurationFees
Post Graduate Program in DevOps

Cohort Starts: 11 Dec, 2024

9 months$ 4,849
Post Graduate Program in Cloud Computing

Cohort Starts: 18 Dec, 2024

8 months$ 4,500
AWS Cloud Architect Masters Program3 months$ 1,299
Cloud Architect Masters Program4 months$ 1,449
Microsoft Azure Cloud Architect Masters Program3 months$ 1,499
Microsoft Azure DevOps Solutions Expert Program10 weeks$ 1,649
DevOps Engineer Masters Program6 months$ 2,000

Learn from Industry Experts with free Masterclasses

  • Cloud Security Specialist: The Ultimate Roadmap to a Future-Proof Career

    Cloud Computing

    Cloud Security Specialist: The Ultimate Roadmap to a Future-Proof Career

    24th Sep, Tuesday9:00 PM IST
  • Deep Dive into How AI is Shaping Cloud Computing Careers in 2024

    Cloud Computing

    Deep Dive into How AI is Shaping Cloud Computing Careers in 2024

    30th Jul, Tuesday9:00 PM IST
  • Launch a Future-Proof Career in Cloud Computing with Caltech CTME

    Cloud Computing

    Launch a Future-Proof Career in Cloud Computing with Caltech CTME

    13th Jun, Thursday9:00 PM IST
prevNext