The European Union project GINOP-3.2.8-20-2020-00001, entitled "Development of an AI Innovation and Competence Centre, Data Asset Management Capacity for Hungarian SMEs to Promote Artificial Intelligence Applications", was launched on 1 January 2021. The project is implemented by a consortium of Digital Welfare Nonprofit Ltd. and Neumann Nonprofit Public Benefit Ltd. with the support of the European Union and co-financed by the European Regional Development Fund, with a budget of HUF 1 billion and a planned completion date of 31 December 2022.
The primary objective of the GINOP-3.2.8-20 project is to improve the efficiency and revenue-generating capacity of domestic small and medium-sized enterprises (SMEs) through the use of artificial intelligence (AI)-based business information and communication tools (ICT) and to strengthen their participation in the data economy. The project will provide business development and technology consulting, training, (self-)assessment tools and development capacity to digitally-ready SMEs interested in using AI and data assets, and looking for and open to new business opportunities and solutions to facilitate their development. We plan to involve 150 companies in the development, of which we will develop a proof of concept for 100 companies, in partnership with them, and sensitise a further 50 companies to IT developments. Thanks to close cooperation with the Hungarian Chamber of Commerce and Industry, the companies involved in the project will be selected from the Chamber's database.
Our first task is the segmentation and structured survey of the enterprises to be involved in the project, the aim of which is to group the target SMEs according to their specific characteristics, needs and industry practices, so that we can prepare the development of optimised, typified support activities for them. After the segmentation, the identified, specific enterprises can be visited in person, the questionnaires designed in the survey framework can be filled in and the enterprises can be registered on the online interface. Closely linked to this task is the development of an online interface which will allow businesses to complete the survey questionnaire themselves, to store the survey results and to monitor the activities of the businesses involved in the programme at a later stage. This interface will enable ongoing contact with businesses throughout the project.
The results of the survey will be used to create a categorised and thematised service catalogue, covering technologically feasible and commercially relevant service options and business models that cover the needs of the participating companies. The catalogue will include services and use cases for public and open data.
A second survey will also be carried out in the framework of the project, which will provide an overview of the data assets of SMEs from the perspective of data use and data science, the maturity of the sector's IT and infrastructure, and the assessment of IT and data competence and capacity. A process-oriented - process mining - approach to data asset assessment will provide an opportunity to address the issues of relevant and latent data utilisation, and thus identify new ways to meet business needs.
We will provide complex organisational and business development consultancy services to SMEs identified in the course of the project, interested in introducing and adapting AI and data-based services and technologies, with the help of consultants employed in the Accelerator Centre. The project will set up two Accelerator Centres, where development activities will take place, and will organise professional workshops and presentations for the businesses involved in the project. These events will include practical workshops, targeted training and demonstrations, and advice for the businesses involved in the project. In addition, awareness-raising training sessions are planned to prepare enterprises to "host" and run demo or proof of concept projects. The training materials and information will provide all SMEs concerned with the theoretical and practical knowledge necessary to introduce and adapt the good practice or demo application in their own business.
Through the implementation of the GINOP-3.2.8-20 project, we will contribute to the diffusion of artificial intelligence-based business ICT solutions in the SME sector, to the development of the Hungarian digital and data economy, and as a result to the improvement of the competitiveness of the Hungarian economy.
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|Name of beneficiary
|Digitális Jólét Nonprofit Kft. és Neumann Nonprofit Közhasznú Kft. konzorciuma
|Project ID number
|MI innovációs- és kompetenciaközpont, adatvagyon-gazdálkodási kapacitás kialakítása a hazai KKV-k számára Mesterséges Intelligencia alkalmazások ösztönzésére
|Amount of aid
|1 000 000 000 Ft
|Európai Regionális Fejlesztési Alap