Modeling and implementing program activities to support the implementation of new technologies in the small and medium-sized enterprise sector

Sylwia Stefaniak
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Abstract

The article is part of a doctoral dissertation, the aim of which is to implement the Policy for the Development of Artificial Intelligence from 2020 in Poland by modelling and implementing program activities to support the implementation of new technologies in the small and medium-sized enterprise sector (SME), along with their cyclical monitoring and validation. The doctoral thesis assumes that the realization of the goal will be carried out through the collection and production of a set of good practices that will support and facilitate the implementation of solutions based on artificial intelligence for SME, as well as their popularization in this group, which will fill the implementation gap (lack of addressing the needs of this target group) and the research gap (description of program mechanisms addressing the problems of policy implementation). For this purpose, a platform provided by the Global Partnership on Artificial Intelligence in the form of a website is being used and adapted in Polish market, where an entrepreneur will be able to easily validate his or her level of maturity and can see what technologies are adequate for implementation in his or her enterprise. The conceptual work on the portal identified three main challenges facing SMEs: the difficulty in finding trusted AI suppliers, the lack of knowledge in AI, and the lack of identification of business topics and strategies where AI could be implemented in the organization. By using the portal and describing a specific way to validate suppliers, which will also be the subject of this article, SMEs can count on programmatic support in applying AI to business operations. During the implementation of this tool in Poland, the author of the publication focused on entrepreneurs who do not use technologies or the possible implementation of technologies raises many questions (for example, of a legal nature), and thus blocks the possibility of possible implementation. The article will indicate how AI solution providers are added (assessment list), how SMEs can find out their level of implementation, as well as what recommendations for changes to the portal have come from each side so as to ensure the best possible functioning of this portal in the Polish market, thus addressing the research and implementation problem of the PhD.
对项目活动进行建模和实施,以支持在中小型企业部门实施新技术
这篇文章是博士论文的一部分,其目的是通过建模和实施计划活动来实施波兰2020年的人工智能发展政策,以支持在中小型企业部门(SME)实施新技术,以及对其进行周期性监测和验证。博士论文假定目标的实现将通过收集和生产进行的一组最佳实践支持和促进解决方案基于人工智能的实现对于中小企业来说,在这个群体以及他们的推广,将填补差距(缺乏解决这个目标群体)的需要和研究差距(描述程序机制解决政策执行的问题)。为此,人工智能全球伙伴关系以网站的形式提供的平台正在波兰市场上使用和调整,企业家将能够轻松验证他或她的成熟水平,并可以看到哪些技术适合在他或她的企业中实施。门户网站的概念性工作确定了中小企业面临的三个主要挑战:难以找到值得信赖的人工智能供应商,缺乏人工智能知识,以及缺乏确定可以在组织中实施人工智能的业务主题和战略。通过使用门户并描述验证供应商的特定方式(这也是本文的主题),中小企业可以在将人工智能应用于业务运营方面获得程序化支持。在波兰实施该工具期间,该出版物的作者将重点放在不使用技术或可能实施技术的企业家身上,提出了许多问题(例如,法律性质的问题),从而阻碍了可能实施的可能性。本文将说明如何添加人工智能解决方案提供商(评估列表),中小企业如何找到他们的实施水平,以及双方对门户网站的更改提出了哪些建议,以确保该门户网站在波兰市场上的最佳功能,从而解决博士学位的研究和实施问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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