Machine Learning is one of the branches of Artificial Intelligence (AI) that has the most future potential and offers the most benefits to the industry. According to the latest report by Grand View Research, the machine learning market will reach 96.7 billion dollars in 2025. A figure that is a dramatic increase considering that the figure in 2018 was 6.8 billion dollars.
Over the next few years, more and more companies will opt for machine learning technology to improve their businesses.
Machine learning in Industry 4.0
A decade ago the term Industry 4.0 was coined to refer to the process of digitalisation in the industrial sector and since then we have seen an increase in the number of companies in this field that are committed to the implementation of advanced technologies such as IoT, Blockchain and all the branches of Artificial Intelligence (AI): machine learning, deep learning, cognitive intelligence, etc.
Infinium Global Research details in a report the advantages of automation in Industry 4.0. The implementation of technologies such as machine learning in the industry contributes to improving productivity, manufacturing efficiency and allows faster, more flexible and more efficient processes.
The document also highlights that the increase in public spending on the digitalisation of the industry is strengthening the Industry 4.0 market.
In this direction, the European Union is moving ahead with a firm step. In February 2020, the European Commission presented the “White Paper on Artificial Intelligence”. A joint strategy between all EU countries which, as explained by its president, Ursula von der Leyen, aims to attract more than 20 billion euros per year over the next ten years to invest in Artificial Intelligence (AI). A figure that is expected to be reached with the contribution of the private sector and the co-financing of the states.
Public investment will boost Industry 4.0 and technological advances in the electronics industry, the evolution of cloud computing technologies and the implementation of the Smart factory, according to analysts at Infinium Global Research.
Organizations from different sectors will be able to benefit from the advantages of the application of technologies such as machine learning in the industry, but above all, they will be part of four strategic areas for this technology: ceramics, automotive, installations and energy management and food.
The industrial sectors that will benefit most from machine learning
Companies in the ceramics, automotive, energy management and food and beverage markets are already benefiting from the advantages of implementing AI through machine learning algorithms.
They are implementing a technology that allows them to predict poor and erroneous behaviour, optimize production processes and analyse the market or demand in-depth in order to know it better and thus adapt more precisely to customer demands. All this through the different applications of machine learning.
In the ceramics sector, Artificial Intelligence (AI) is beginning to play a leading role.
Benefits of machine learning in the ceramics sector
Machine learning algorithms are already being used, especially in quality control processes. With various algorithms, it is possible to predict the behaviour of the material under extreme temperature conditions and to detect anomalies and deficiencies in the tiles.
The studies being carried out with the help of Artificial Intelligence (AI) seek to predict the anomalous behaviour of materials during the manufacturing process, making it possible to control and use the components that meet better resistance conditions than those currently being manufactured.
On the other hand, by recognizing incorrect patterns they are able to detect anomalies in products early, reducing shrinkage and increasing profitability.
Today, we already find companies that are working with this technology and are using it in this line or in others. They are, above all, companies in the ceramic, porcelain stoneware and flooring sectors.
In the automotive sector, AI is also a technology that is increasingly being used to improve industrial processes. The automotive and all related sectors are using machine learning to increase their turnover.
Benefits of machine learning in the automotive sector
This industry is using such technologies to carry out predictive analysis of component durability and in the early identification of anomalies and defects.
Another application of machine learning in the automotive sector is the optimization of the supply chain.
Machine learning technologies represent a golden opportunity to improve the production process of companies in the automotive sector. In this sense, they control better, among other functions, the inventory levels needed in the different facilities.
More and more organizations in the automotive sector are taking advantage of the benefits of machine learning to improve their production processes.
Installations and energy management
In the installations and energy management sector, AI, through machine learning, is promoting great advances.
Benefits of machine learning in the installations and energy efficiency sector
The introduction of this technology in this area is developing smart networks or smart grids.
According to the Business Insider portal, this type of network would take advantage of machine learning technology to carry out real-time analysis to better adjust the electricity supply to demand by identifying consumption patterns, and to intercept any failures or fraud that might occur throughout the supply chain.
Other advances in energy management would be related to improving the management and optimisation of the network, the drop-in service, price optimization, growth prediction by areas, the detection of consumption and demand peaks or the behaviour of certain customers or cities.
The implementation of AI technology in the energy management of cities brings different advantages to both individuals and companies. According to a study by Juniper Research, smart grids will save citizens some $14 billion in energy costs by 2022.
Many companies in the sector are already reaping these benefits, improving the energy management of cities with the use of advanced machine learning platforms.
In the food sector, Artificial Intelligence (AI) through machine learning algorithms is contributing to a reduction in costs and an improvement in quality. It is doing so in all areas, in the food and beverage industry and in the catering industry.
Benefits of machine learning in the food sector
Machine learning technologies allow the industry to gain a number of key advantages to improve its business. One of these benefits is an analysis of the food market in order to have an understanding of consumer trends and thus adapt to what the customer really demands.
Another of the machine learning applications is related to the improvement of hygiene in a production plant. It can be used to detect when a machine is dirty and has to be cleaned or to monitor and check the hygiene of all workers involved in the production chain.
Machine learning is also used in industry to optimize the food and beverage supply chain.
Today, there are various organisations in the food sector that are benefiting from AI and more specifically from machine learning.
Machine learning with Nexus Integra is possible
Nexus Integra is the integrated operational platform that helps you make the best business decisions by comparing historical trends and real-time data. It does this by importing the data needed to feed Nexus Core, allowing your machine learning application to have the data needed to create patterns that facilitate automatic learning and decision making.
Nexus Integra is the best ally that organizations have to start implementing advanced technologies such as machine learning in their business and thus take advantage of the benefits of digital transformation. Do not hesitate to contact us!