Currently in the midst of the Fourth Industrial Revolution, it is a global trend to consider the integration of intelligent technology in the world of manufacturing.

There are many companies that are missing this opportunity. Industry 4.0 is a paradigm shift not only for how we knew manufacturing, but also for data analytics.

Intelligent technologies, and more specifically, machine learning, allow actionable information to be obtained from the data that is collected. Tangible data on increasing efficiency or reducing emissions.
Today’s factories have sensors that collect a wealth of data. Most companies collect this data, but few use it for analysis.

Traditional companies continue to indulge in archaic analysis tools.  Imagine a factory that locates a mishap with one of its products or processes, but can’t discover the cause. From the traditional method, it would be necessary to raise a hypothesis and perform an analysis that can take months to yield results.

Machine learning.

With this type of software you can study endless parameters that are harming the process, in order to go to the origin of the obstacle and remedy.

In addition, machine learning does not stop at data analysis and problem detection. Its potential is to be able to guide decision-making by proposing tangible solutions.

According to Deloitte, machine learning can increase production throughput by 20% and deliver gains of up to 35%.

In the manufacturing sector, companies are striving to strike a balance between cost and quality, along with volume and emissions. Machine learning is the answer to this problem. In the future, this software can even be linked with robots to download the work of engineers.