AI and Machine Learning: The Future of Engineering


Artificial intelligence and machine learning: emerging technologies addressing the needs of today’s industries.

Organizations and industries need to be innovative, efficient in delivery, answerable to the digital needs of the customer, and put their innovation into production at the earliest. For every lifecycle of a product, it all starts with a customer-driven innovation followed by constriction and engineering of the manufacturing facility which further comes to the production level and finally the delivery of the services and goods to the customers.

Each step is responsive to the market along with its consumers. From the engineering perspective to the delivery of the product. Many of today’s industries still follow traditional methods of storing data of which are found in paper format. As such it gets tough to find the right data for those looking for information.

AI helps and teaches the computer to act and think like humans. And with one of its subset, machine learning it is now possible to make informed decisions and pattern recognition abilities. As technology keeps evolving, we must not overlook what it can do to us.

AI and machine learning in engineering

In engineering sectors, most of the AI professionals use software and hardware components. And as machines turn sophisticated day by day, that will not only have the capability to support smart production lines but can design and improve tasks which include no human intervention or very little human intervention.

The majority of the tasks an AI engineer performs such as design and simulation, can be augmented with the help of AI tools. For instance, earlier the Computer-Aided Design (CAD) was a simple supplemental tool in engineering but now it is considered a fundamental part of the workflow. These AI tools can help boost the productivity of engineers and make it possible in weight-saving options and explore design which was once impossible.

Another significant way to bridge the gap and support engineering task is by helping departments effectively manage data and extract actionable insights out of it. AI programs help automation taking place in low-value tasks easing the engineer’s job in performing high-value tasks.

Also with the help of machine learning, it becomes easier to discover patterns from the data, moreover machines will play a significant role in making engineering judgment.

The role of an AI engineer

While there are multiple job roles for machine learning and an AI engineer in engineering, the majority of the engineers fear their jobs will be taken over by machines. Undoubtedly, automation and AI are already destroying jobs, however, it also offers the freedom to humans to take up tasks machines cannot be replaced.

“One Hundred Year Study of Artificial Intelligence,” a study was taken up by Stanford University clearly explains there’s nothing to fear the AI jobs. And even if machines and automation take over jobs, there will be a balance out there in the job markets due to the increased possibilities technology must offer and because of the positive impact, it has in the society.

According to a report by the University of Oxford, it mentions that engineering and science professions will be the professions that are less threatened by AI tools and technologies.

However, for professionals looking to stay equipped and prepared for industry 4.0 will need to adapt themselves with the latest tools and technologies. Individuals must prepare their mindset as such that they will be able to corporate and work alongside robots and machines.

AI and machine learning are said to be the foundation of advanced engineering. While the question remains the same, how will the jobs of engineers change, however, it is futile to defy the AI transformation.