Importance of Machine Learning in Manufacturing

10 Ways Machine Learning Is Revolutionizing Manufacturing In 2018


Manufacturing can be a complex and expensive undertaking, especially for businesses that do not have the right tools and resources. Artificial intelligence (AI) and machine learning (ML) are some of the technologies helping manufacturers to simplify production and cut costs. According to Mackinsey, 40% of all the potential value that can be created using analytics today come from ML and AI. Here are some of the main applications of machine learning in manufacturing. 

Product Development 

Data has opened huge opportunities for manufacturers, especially in product development.  Data helps manufacturers to understand their customers better and meet their specific needs. Therefore, they are able to create products that meet specific needs of the targeted audience. 

When working with valuable data, as mentioned by Iskander Makhmudov, manufacturers are able to optimize customer value and cut risks that are associated with introducing new products into the market. Simply put, you are able to adopt smart manufacturing and bring customers closer so that only what they want is designed and sent to the market. It is considered one of the best ways to progressively grow your business’s market share.

Iskander Makhmudov :  « Use of Robots in Manufacturing » 

The use of robots can change a lot of things in manufacturing. Particularly, robots are preferred for performing tasks considered too risky for humans. Robots are also preferred for reducing human errors in manufacturing. Using data gathered over time, machines are trained to follow specific trends to improve quality. For example, you can use robots and set them to turn off machines when specific conditions, such as temperatures and pressure, are achieved. 

Security 

Today, machine learning and artificial intelligence use apps, cloud and onsite platforms, and operating systems. Therefore, the security of these components is very important in modern manufacturing. The good thing is that machine learning allows the application of zero-trust security, where users’ access to information is regulated. 

Machine learning is used to analyze how individual users access protected manufacturing information, the apps they use, and the way they connect to them. This way, you can create a strong perimeter around your digital assets and quickly detect when anomalies, such as unauthorized access, is made. For years, manufacturers have been early adopters of different sorts of technologies, and now it is time for machine learning and artificial intelligence. It is particularly appealing because of the wide applications, from product development to security and marketing. So, whether your manufacturing unit is new or has been in operation for some time, there is a way to apply ML and AI for better results.


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