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How Machine Learning in Manufacturing Can Accelerate Your Growth

Written by Kanika | Nov 26, 2024 7:47:16 AM

Globally, the manufacturing industry is undergoing a massive shift. Put aside your futuristic ideas of industries completely being run by robots. The real revolution is taking place quietly but profoundly : machine learning (ML) is being integrated into every level of the production process.

 

A Staggering Impact: How Machine Learning Reshapes Manufacturing

According to a recent McKinsey analysis, by 2030, machine learning in manufacturing might produce up to $2 trillion in value annually across a range of industries. Not only is this theoretical, but manufacturers are already benefiting from it. 78% of manufacturers who have used ML solutions report seeing a considerable increase in productivity, according to a Deloitte survey. So, how exactly is machine learning transforming the way we manufacture?

Let's dive deeper.

 

Machine Learning and Manufacturing

Machine learning (ML) comes under Artificial Intelligence (AI) that enables computer systems to learn from data and get better over time without the need for explicit programming. ML algorithms are even capable of analyzing enormous volumes of data from machines, production lines, machines, and sensors. And this data can range from product quality control readings to equipment performance measures. There is no one-size-fits-all approach to machine learning like any other industry. It is a toolkit full of potent methods that may be tailored to solve certain production problems that your firm might be facing.

 

 

 


Real Case on How ML is Supercharging
Manufacturing Efficiency

Understanding the true power of machine learning (ML) in manufacturing goes beyond theory. Let's delve into real-world case studies that showcase its practical applications and tangible results. One such case we worked on is for a company facing challenges in predicting metal availability in junkyards and managing their IT infrastructure. Here is how an ML-powered AI system helped them to increase their efficiency and revenue.

We worked with a 120- year old waste management firm and tackled two of their top challenges: predicting metal availability in junkyards with an AI system (AI tool for metals) and migrating their entire infrastructure to the secure and scalable AWS cloud (AWS Cloud Migration). This innovative approach empowered them to make data-driven decisions. To know how read our case study here.

 

 

 

 

 

 

The future of manufacturing is intelligent, and machine learning is leading 
the charge. Are you ready to embrace this exciting future?