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Industrial AI Systems

Central Node of AI Sweden

The overall aim of the project is to support companies and the public sector in accelerating the use of applied AI to strengthen society and competitiveness in Sweden.

Project website

Start

2022-01-01

Planned completion

2024-12-31

Main financing

Collaboration partners

Project manager at MDU

No partial template found

External project members: Mikael Klintberg, project manager Örebro University och Camilla Ulvmyr, project manager Örebro University.

Description

AI Sweden is the national center for applied artificial intelligence, jointly funded by the Swedish government and public and private partners. AI Sweden's mission is to increase the use of AI for the benefit of society and Swedish competitiveness. In order to reach the whole country, AI Sweden have built nodes geographically spread across all of Sweden. Örebro University have hosted a node since 2019. Merging Örebro University with Mälardalen University creates the new "Central Node" of AI Sweden which covers Västmanland, Sörmland and Örebro County. The central node aims to support companies and the public sector in accelerating the use of applied AI through business development support, skill-matching, and education. Through the Central node of AI Sweden, organizations will receive support in evaluating their own AI maturity, identifying needs and challenges, and receive guidance in their next step towards transformation. The central node also intends to develop a strong ecosystem within industry, academia, and the public sector, and to accelerate innovation and applied research by being well-established and actively work with the ecosystem.

Purpouse

The overall aim of the project is to support companies and the public sector in accelerating the use of applied AI to strengthen society and competitiveness in Sweden.

Project goals

  • Business promoters have increased knowledge about AI and what support is available for different target groups.
  • Attract AI-talents to the region.
  • Increased knowledge about AI in the regions industry and public sector.
  • More companies in the region are introducing AI technologies in their organisations to create value and competitiveness.

Activities

  • Initiate direct meetings with business promotors.
  • Activities to increase supply of competence.
  • Create networks within AI.
  • Arrange open seminars (with different thematic focus) around AI applications.
  • Map companies and public sector in need of AI solutions.
  • Create offers for businesses and public organizations with needs.
  • Coach companies and public organizations in need of implementing AI-solutions.


This research relates to the following sustainable development goals