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How Digital Technology is Reshaping the Automobile Industry



How Digital Technology is Reshaping the Automobile Industry


Digital transformation in the automotive industry is redefining the way vehicles are conceived, assembled, and operated.

Technology is reshaping the automobile industry from automating and speeding up the process of designing new models of cars to enabling cars to drive themselves,

From carts and carriages pulled by animals in the ancient ages to vehicles that automatically drive themselves today, the way we traverse over land has seen a massive transformation, to say the least. Cars, since their invention just about two centuries ago has gone from being an innovative marvel to a luxury, now, have become a necessity for most people. The automotive industry, pioneered by stalwarts like Ford and Benz, has seen a steady growth in the decades leading to today, but the evolution of the industry in the pre-digital era is nothing compared to the rapid transformation it is presently undergoing. The past decade has seen the pervasion of every conceivable digital technology into the process of making or driving a motor vehicle. Be it artificial intelligence, big data, the internet of things, or blockchain, every form of digital technology is converging in the automobile industry. The digital transformation in the automotive industry is poised to transform not just the way cars are driven, but also the way they are made and conceived.

Digital Transformation in the Automotive Industry


1. Artificial Intelligence is Empowering Self Driving Cars

If you’ve been following the world of technology and automobiles in recent years, chances are you’re already aware of the inevitability of the worldwide mass adoption of self-driving cars. Self-driving cars, as the name suggests, refer to AI driven cars that do not require a human driver for operation. These cars, although not as common today as AI enthusiasts would have loved, are currently being tested on roads with real passengers. We are getting ever-closer to achieving totally self-driven with new advances like the development of vector-based navigation, which gives AI agents the ability to orient and move in physical space like humans and other animals do.

A future where the roads are exclusively filled with self-driving cars seems distant, both due to the technological hurdles that need to be crossed, and the fact that there will be people who would prefer to drive their own vehicles. Until the era of total automation of vehicles arrives, technologies like AR and IoT are being employed to enrich the experience of driving and owning cars. An ever-increasing number of IoT sensors are being included in automobile design to allow drivers to monitor vital parameters pertaining to the location and performance of the vehicle. Onboard vehicle telemetry, which has been in use for a while now, not only helps Government regulators to track the vehicle but can also enable them to force the vehicle to stop. Such systems that enable remote connectivity and data gathering are increasingly becoming common in modern cars. Vehicles have onboard sensors to track dozens of performance parameters that are relayed to the driver’s dashboard display, and in some cases even to the carmakers. The information gathered may also include driver behavior data that can be used to find patterns in drivers’ driving habits, which can not only help in adjusting vehicle parameters in real-time but also used in the future to improve vehicle features.

2. Digital Marketing & The Advent of the Internet are Helping Customers Evaluate Vehicles

Digital technology has perhaps made the greatest impact on the way customers buy, and manufacturers sell automobiles. Before the popularization of the internet and the recent progress in digital technology, customers did not have many ways to evaluate and compare their options before purchasing a new vehicle. Except for the short advertisements on television and print media, and time-consuming visits to vehicle dealerships, people did not have many ways to make an informed decision while buying new cars. With the advent of the internet and digital marketing, car buyers can now have extensive information, including opinions and reviews on vehicles to help them in making a purchase decision.

Car manufacturers have more channels to market their vehicles to customers, and especially in a more focused manner with the help of big data analytics and targeted marketing. The digital transformation in the automotive industry has brought down the barriers between manufacturers and customers, which means manufacturers can have a better understanding of the market.

A new trend in automobile distribution is the increasing use of virtual reality. Manufacturers like Audi have started using virtual reality in their dealership facilities to give potential buyers a virtual tour of their offerings. Eventually, fully immersive VR test drives may become a common thing in the automotive market.


3. Industrial Internet of Things Are Improving The Manufacturing Process

The introduction of digital technologies such as analytics and the Industrial Internet of things (IIoT) has been a major game-changer in the automotive industry. Predictive analytics has become a staple in manufacturing facilities, where it is used to monitor and maintain the health of manufacturing and assembly equipment. Predictive analytics has enabled vehicle manufacturers to cut down on breakdown times by minimizing unplanned stoppages. Continuous analysis of manufacturing processes using big data analysis is helping manufacturers to identify areas of improvements and bottlenecks in the assembly processes that were previously unnoticeable.

The advent of the internet of things has multiplied the influx of operational data that is gathered from the vehicle assembly lines, enabling further fine-tuning of the processes. Analytics is not only leading to improvements in the mechanical aspects of manufacturing but is also leading to better management of both material and human resources. The use of artificial intelligence and machine learning in the automotive industry has led to further leaps of improvement in the way cars are assembled, leading to shorter lead times, greater quality, and consequently, increased profits.

4. Artificial Intelligence Analytics is Creating New Vehicle Designs

In addition to redefining the way cars are manufactured, the digital transformation in the automotive industry has even changed the way vehicles are conceptualized. Artificial intelligence, which has already made significant inroads into the processes requiring repetitive precision, has also begun proving itself in tasks requiring creativity. Automobile makers have already started exploring the use of artificial intelligence to design cars. Car design, which used to be a completely a human process, is now slowly being ceded to intelligent systems that use a large base of knowledge and data as a reference to generate completely new car models that don’t just meet the aesthetic requirements but also the performance requirements of the mainstream public.

The use of IoT and big data is helping vehicle makers to continuously monitor their cars and the way they are being used by customers to determine what aspects of design are working and what needs to change. With increasingly flexible manufacturing systems, the time between the conception of a change in design and its execution is getting incredibly shorter. Thus, vehicle manufacturers benefiting from the digital transformation through increased design flexibility.

Although digital technology continues to be a major transformational factor in the automotive sector, the role of other developments in changing the industry, such as the exploration of new sources of energy is undeniable. However, unlike innovations in the fields of renewable energy and material science that lead to the occasional yet radical change in the transportation sector, digital transformation in the automotive industry is an ongoing process that will continuously change the way cars are driven, distributed, and designed.


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The Best Programming Languages for Web Services and Their Advantages In 2022



The world is becoming more digital, and the need to learn digital skills is higher now than ever before. One such digital skill that has gained more prominence since the last decade is programming languages. We now live in a world revolving around technology, and basic knowledge of programming languages is becoming a necessity for many career options and job profiles. 

There are many reasons to learn about the different programming languages and their advantages, and web services or web development is a big part of it. Web development is an ever-growing field and has plenty of opportunities. To grab these opportunities in web development, you need to equip yourself with the correct programming language.  However, the plethora of language options available to you can be confusing, especially if you are a beginner. 


This high-level language, often used by most websites as a client-side language, is a core technology in the World Wide Web. Initially, it was used only for developing web browsers; however, they now have new usages in non-web browser applications and server-side website deployments. 

Since its creation in 1995, it has evolved into one of the world’s most popular programming languages and is highly sought after by various organizations. 


  • Learning and implementing javascript is easy.
  • It is very popular and is everywhere on the net.
  • It can run immediately in the client-side browser.
  • It doesn’t demand much from the website server. 


  • Different browsers may interpret it differently sometimes, so writing cross-browser code is difficult.


This is a powerful programming language and is one of the best used in web development for multiple purposes. Furthermore, this open-source language is very easy to learn and deploy and is among the best languages for learning web development since it develops scalable applications and web pages. 

Python has a unique selling point: the simple, productive, and elegant design of this language. It is the best for backend development with first-class integration with other programming languages such as C++ and C. 

Python has numerous usages, especially in developing web and desktop applications and GUI-based applications such as machine learning, data science, and network servers. It also offers multiple toolsets for mathematics, statistics, and computational science with numerous libraries and frameworks like NumPy, Pandas, SciPy, and Scikit-Learn. 


  • It increases the productivity of programmers and developers. 
  • It supports several systems and platforms.
  • It follows object-oriented programming. 
  • It ensures easy scalability, even with complex web applications.
  • Offers numerous support libraries. 
  • It focuses on code readability. 


  • The database is primitive and slightly underdeveloped.
  • Not ideal for mobile computing.


HTML stands for HyperText Markup Language. This language is the foundation upon which web development is built, and every developer must familiarize themselves with it. It is a very popular language and is currently one of the most used programming languages. While it cannot be described as a full-fledged programming language, HTML is the standard language for creating web pages. 

HTML gives web pages structure and ensures that images and texts are correctly formatted. In addition, it is a fast language and helps developers design web pages much quickly because it uses templates. 


  • Learning and implementing is easy. 
  • It is free and accessible.
  • All browsers support it. 


  • This language is static, so creating dynamic pages is impossible. 
  • It requires lots of code to develop a simple webpage. 


This is an ideal language for web development. Even though many other programming languages like python and javascript are also suitable for web development, the need for professional developers who work with PHP remains very high in the market. It is a general-purpose language that can be used for developing server-side applications. In addition, PHP is dynamic and maintained by open-source platforms working across Windows. UNIX, and Mac systems. 

PHP is highly productive in web development and is used vastly within this industry to build and deploy applications quickly. 


  • It has plenty of frameworks to offer. 
  • It can be used to develop web pages with ease. 
  • It supports object-oriented and functional programming paradigms.
  • It also supports multiple automation tools used for testing and deploying applications.
  • It uses the Xdebug extension, which allows for great debugging. 
  • It has a large ecosystem with incredible community support. 


  • It doesn’t have features for handling errors and security. 
  • It is slower to build a web page using this language alone than other programming languages. 


CSS is similar to HTML because it is also a basic language that all developers should know. CSS is the acronym for Cascading Style Sheets. This language is mainly used along with HTML to govern a web page’s style. Combining CSS and HTML languages is often the mother of programming languages. For example, CSS determines the color, positions, and size of elements within a webpage. 

CSS uses a cascading style, which means an applied style cascades down from the parent to the child throughout the web page. This cascading nature allows it to uphold consistency. 


  • It is a beginner-friendly language that’s easy to learn.
  • CSS supports responsive website design. 
  • It simplified web page customization
  • It increases the webpage loading speed. 


  • It is possible to suffer cross-browser issues.
  • It has multiple levels, such as CSS2 and CSS3, which may lead to confusion.


This middle-level programming language was created in 1980 as an Objective C extension. C++ language is simple and easy to learn for beginners, and it has lots of usefulness. It offers everything that Objective C offers and more. It supports features such as object-oriented programming, except type checking and handling. 

C++ supports OOP concepts such as encapsulation, inheritance, and abstraction. The compiling mechanism is quick and efficient, and it has a massive standard library. 


  • It is highly scalable. 
  • It is portable and easy to handle.
  • It has extensive community support. 


  • Garbage collection is not automatic.
  • The pointers have associated complexities. 


There are numerous options for programming languages to learn for web development in 2022. However, you could get spoiled for choice and miss your way if you’re a beginner and new to the web development scene. Therefore, this article discusses some of the best and most popular programming languages you can kick start your web service journey in 2022. 

Author Bio

Eun Rockwell is a professional journalist with extensive experience, four years. She also works as a freelancer and writes a lot of articles. In addition, she has had writing stints at and Superiorpapers. Eliza is always focused on doing quality work to achieve her goals and objectives. In addition, Eliza is fascinated by creating original works that meet high standards. Feel free to connect with her by email. 

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