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ENAIBLER AI Context Analysis: Focus on Skellefteå (Sweden)

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By Project ENAIBLER

As part of the ENAIBLER project, partners have been working on an analysis of artificial intelligence (AI) in different regions. Sweden continues to strengthen its position in AI, with ENAIBLER project partner the Municipality of Skellefteå emerging as a key player in the field. Recent developments showcase the nation’s focus on leveraging AI for industrial transformation, public services, and academic research, aligning with national goals to position Sweden as a leader in the responsible and sustainable use of AI.

Key Industry Players and Pilot Projects

Several local companies and stakeholders are leading the way in AI-driven innovation. Companies like Boliden, which applies AI for process optimization in the mining sector, and Data Ductus, which uses machine learning to analyse IoT data, are pivotal players in the industrial application of AI. Additionally, Elsys Ltd. specializes in IoT-based AI solutions, contributing to the region’s expertise in smart systems. Further, Skellefteå has a long history of large IT-companies connected to system solutions for public sector, e.g Visma and Tietoevry.

The public sector is also exploring AI through pilot projects, notably in healthcare, where AI applications are being tested to enhance service delivery. Although these projects are in their early stage, they signal a growing interest in AI's potential to optimize public services and utilities.

Education and Research Initiatives

ENAIBLER project partner Umeå University, a key educational institution in Västerbotten region, offers a range of AI-focused programs aimed at building local AI expertise. These include courses on large language models and other AI-related topics that contribute to the region’s academic and research capabilities. The university's TAIGA – Center for Transdisciplinary AI is another initiative promoting AI research and collaboration across sectors.

Challenges and Opportunities

Despite these promising developments, Skellefteå faces challenges, particularly in terms of AI expertise and data quality. The region has a strong industrial background but lacks a deep focus on disruptive technologies and software, which are critical for AI development. There are also issues related to data governance and access, which can hinder progress.

Nevertheless, with continued investment, public-sector pilot projects, and educational initiatives, Skellefteå is well-positioned to become a key player in Sweden’s AI landscape.

This growth aligns with Sweden’s broader national AI strategy, which emphasizes collaboration between local governments, industry, and academia to drive AI innovation.

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Artificial Intelligence