Machine learning has arrived in everyday production – online portal from IT Management

Machine learning has arrived in everyday production - online portal from IT Management

AllCloud presents the results of the “Machine Learning in Production” study. The study clearly shows that companies have recognized the great potential of machine learning (ML) in the field of manufacturing and production.

Almost every second production company plans to optimize the ML systems used. 41% want to further increase the use and expand it to other areas. There are many reasons for this: ML models, for example, can have a significant impact on the success of a company and can be decisive for the strategic orientation.

Main uses and benefits

Current main areas of application are quality assurance and control (at 37% of the companies surveyed), logistics and inventory expansion (at 25%), optimization of the production process (at 24%) and predictive maintenance (also at 24%).

The benefits of using ML are immense. A key benefit is cost savings, reported by 45% of respondents. In addition, 42% state that production optimization has been achieved. 41% see an increase in productivity, 34% a process acceleration and 32% a relief for employees through the use of machine learning.

Image: Plans of the companies surveyed for the future use of machine learning (Source: AllCloud)

Sought-after implementation partners

The study also shows that companies’ ambitious plans cannot be implemented without the help of implementation partners. Only two percent of production companies can independently implement their future plans in the area of ​​ML technologies. Accordingly, 98% of those surveyed state that they are dependent on external service providers. This need is due to the lack of expertise in companies in the area of ​​ML models and tools and the lack of skilled workers. The companies surveyed lack experts who know how to handle, the fields of application and the potential of ML systems and who can develop them for the company. External service providers are also indispensable for the technical requirements and the development of individual ML strategies in order to further promote the use of machine learning in the industrial and production environment.

Further information:

The study is available for download in German here.

AllCloud is also represented as an exhibitor (as a partner of AWS) at the Hanover Fair in Hall 5 at Stand A54 and is available there for discussions about the study etc.

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Methodology:

As part of this representative study, which was written by techconsult GmbH and supported by AllCloud GmbH, more than 200 decision-makers from companies that already use machine learning were surveyed in March 2022. The following sectors were examined: manufacturing (44%), construction (20%), energy supply (18%), water, sewage and waste disposal (8%) and mining (7%). In addition, the size of the company (250-500 employees (40%), 500-1,000 employees (28%), 1,000-5,000 employees (17%) and more than 5,000 employees (15%)) and the position in the company (CEO (5th %), CTO (4%), CDO (10%), CIO (22%), BDM (8%), data scientist/engineer (6%), head of research and development (8%), production manager (26%) and other items (11%) raised.

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