From ensuring the quality, accuracy and completeness of data and its availability, to the most responsible methods for collecting, using and sharing it, up to asset and consumption monitoring platforms: here are the steps for support SMEs in their path towards the introduction of artificial intelligence into production systems
Among the companies engaged in the digital revolution to support the manufacturing industry, the Friulian beanTech has recently launched on the market the BRAINKIN platform, a system capable of monitor the production and maintenance of the machines, to improve the quality and energy efficiency of the entire production plant by monitoring the parameters of each asset for a complete management of the plant. This is explained by Riccardo Zamana, beanTech Smart Factory Business Unit Manager.
Artificial intelligence: beanTech alongside companies
Artificial intelligence is now perceived as a lever of digital transformation in many sectors and it seems that this trend could progressively extend significantly in the industrial manufacturing sector. Worldwide investments in artificial intelligence are booming. According to Idc, a global company specializing in market research, consulting services and event organization in the ICT and digital innovation sectors, global spending is set to reach $ 110 billion in 2024, a value tripled compared to the 50 billion dollars estimated for 2020. Furthermore, according to the results of a recent study by McKinsey conducted on a sample of 2,395 managers from the most diverse sectors, 50% say they have already adopted AI in one of the company functions.
Especially with regard to the manufacturing sector, artificial intelligence it will project industry 4.0 towards a dimension in which the decision-making autonomy of the machines will allow to plan and optimize production to improve quality control, warehouse management, but also bring greater energy efficiency and constantly monitor the operation of machinery for detect any anomalies and promptly intervene on the systems. Many of the industries in this sector, in fact, are wondering about the new digital production control systems and what kind of strategy they will have to adopt to increase efficiency, reduce time and optimize costs.
Build an AI strategy to optimize production with BRAINKIN
With technological advancement, the complexity of machinery has also increased and, consequently, support operations require the intervention of increasingly specialized systems to manage production processes. The introduction of artificial intelligence in the manufacturing industry allows today a more strategic control precisely on the production phases: it seems that the strong integration of algorithms in industrial, electronic and computer devices and equipment, equipped with chips and microprocessors with the intelligence enabling software solutions, within a few years will bring a large part of the companies to reorganize production to integrate AI solutions. Many of the companies engaged in this sector, however, seem not yet ready to manage these systems, despite understanding their potential and deeming it necessary to invest in platforms enabling artificial intelligence in precision software to ensure their competitiveness on the market.
Among the major difficulties that companies encounter in the use of these technologies is certainly that of data availability, together with the lack of digital skills in the workforce to develop or implement AI solutions, also the result of the inability of companies themselves to identify the skills necessary to adopt these new technologies. Riccardo Zamana, beanTech Smart Factory Business Unit Manager:
Companies in the sector will certainly have to adapt to bring new systems into industrial production that, while respecting ethics and reliability of products and data management, lead to an increase in productivity and savings in time and costs. Among the first things to do is to feed the public debate to increase the understanding of artificial intelligence, to promote knowledge of its potential, to correct the erroneous views of the systems and to start a multi-level discussion on socio-economic impacts. of new technologies; but also to improve manufacturers’ expectations on the capabilities of artificial intelligence, by understanding its potential and limitations, by sharing best practices on the use and choice of AI solutions suited to the resources, capabilities and needs of each company and finally, to encourage the dissemination of ethical reflections throughout the life cycle of AI, with actions and systems that guarantee the quality, accuracy and completeness of data and their availability, promoting more responsible methods for the collection, ‘use and sharing of the same.
To support manufacturing SMEs in their path towards the introduction of artificial intelligence into production systems and help them understand how to apply it to their business, beanTech has recently launched the BRAINKIN platform in the manufacturing market. a system that allows you to keep plant performance under control in real time to support operational decisions, avoiding that a material continues in its production process, for example, allowing to save on waste, in a single tool that supports human control in dangerous situations and verifies the control of all the functions concerning quality, maintenance and efficiency energy of the industrial plant. That’s all from the web and social section, keep following us!