## 5 Discussion
The second solution is to invest in the Cloud, whereby the company would lease the performance from an intermediary. It is up to each business which of these two options they consider to be more beneficial. The third challenge is the educational challenge. Businesses need to have people educated in new technologies and data analysis. They will either have to look for competent workers in the labour market or train their own employees from their ranks. People educated in the technologies, methods and procedures for implementing the Industry 4.0 concept will be critical for the industry in the near future according to a survey [38]. Secondary schools and universities will have to undergo changes and the incorporation of Industry 4.0 technologies into their curricula. At the same time, it also leads to the requirement to have qualified teachers in these areas. Competencies will also be needed in senior management positions in companies, and countries will have to approach and contribute to digitisation. The survey results also revealed that managers of SMEs who can make the decision to incorporate a digitalisation strategy are not aware of the importance of such an innovation in their enterprises. Two-thirds of the respondents stated that they had no opinion on the investment intensity of digitalisation, and half of the respondents had no opinion on the importance of Industry 4.0 applications [38]. It follows that there is a need to raise awareness of Industry 4.0, especially for SME managers, to realize the benefits of digitisation and the risks associated with the traditional way of production. Identifying the essential attributes of Industry 4.0 is a great help for SMEs, especially in terms of investment and the complexity of digitalisation. Our solution offers the possibility to partially mitigate the high investment in increasing the level of digitalisation by implementing only the necessary attributes/technologies of Industry 4.0, which is also the subject of the first mentioned challenge. Our research also confirms the European Commission's assertion of the importance of implementing AI and Big Data in SMEs, but our findings expand the set of necessary attributes to include IoT, Cloud Computing, Simulation and Cybersecurity. The European Commission highlights a Business-to-Business strategy for working with data. Such a strategy requires sharing data between businesses, thus creating the need for the Cloud. With the creation of the Cloud and the need to send data, it is necessary to take care of the security of the data shared in this way--it is necessary to incorporate Cybersecurity. Big Data implies data mining, which is largely only possible from IoT devices. It follows that the attributes we have identified need to be incorporated into the solution that the European Commission for SMEs is working with. For the second challenge, we have suggested the devices that meet the identified attributes of the Internet of Things and Artificial Intelligence and are also applicable for data collection in the area of Big Data. In the future, the third challenge of human resources and knowledge in the field of digitalisation will still need to be addressed. These devices are not off-the-shelf solutions, and it is therefore necessary to have specialists (developers) in the company capable of working with them. This brings us back to the importance of the third challenge. Their main advantage is their low entry cost, and compared to other IoT devices, they have high performance dedicated to AI tasks. There is a wide range of application possibilities, whether for prototyping or deployment solutions in manufacturing, transportation, agriculture, healthcare and more. Subsequently, we have described the selected devices, their hardware features and software support and compared them with each other. From the abovementioned findings, we have summarised the main benefits for SMEs and have explained why they are promising.