How Can Adult Learning Support Digitalisation?

Malatyinszki, Szilárd and Bartha, Adrienn (2024) How Can Adult Learning Support Digitalisation? OPUS ET EDUCATIO: MUNKA ÉS NEVELÉS, 11 (2). pp. 128-134. ISSN 2064-9908

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Abstract

The cooperation between man and machine is about more than just serving machines. The entrepreneurial sector, the learning of managers and employees, must undergo a qualitative evolution where AI can bring real qualitative improvement. It can solve problems that can save hundreds or thousands of person-hours per month and make production processes and value chains more efficient. It is critical to recognize what task we give it and whether we allow it to make processes more valuable or faster. Are we brave enough to ask our colleagues questions about your processes and give suggestions on what work to replace? What activities do you not like to do? Tell us which jobs you would like to do! Working in an atmosphere of honest trust helps to bring problems to the surface, and the promotion of knowledge (whether organizational or outsourced) is a new quality brought about by the achievements of digitalization. It is no coincidence that the Kaizen principle in Japanese organizational culture constantly questions the efficiency of processes and the perfection of methods. It requires an entirely different management perspective. Questioning the superiority of people and even managers and the need for a continuous relationship and cooperation between machines, software, and workers. As technology in different sectors in different countries becomes more and more efficient monthly, monitoring, adapting, and incorporating good practices, changes, and innovations have become inevitable. Suppose the digital environment and its achievements are not reflected in the production or service sectors. In that case, businesses in the Far East with a different working culture and attitude - which have so far only made copies - will overtake their European competitors. They will show up in product and service development, raw material use, inefficient production, and logistics, They will come to us, and we will copy their processes, which AI may already develop. Suppose we want to be at the forefront of change. In that case, we need to support market-driven change every minute, foster an innovation environment, develop individual, production, and service levels in our businesses, and provide an organizational environment where change and development are financial, moral, and individual career opportunities. If this utopia becomes a reality, we will at least have the tools to enable humans, machines, and AI to 'work' together towards a happier future of sustainable development.

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