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The 2025 State of AI Readiness in FAIR Customer Companies: The Case of Finland

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Despite widespread enthusiasm for artificial intelligence adoption, most companies remain trapped in the early stages of AI readiness, unable to translate promising concepts into functional business solutions. Analysis of consultancy data from 110 organizations across Finland and Sweden reveals that technical expertise gaps, insufficient data management capabilities, and lack of strategic planning continue to hinder meaningful AI integration in 2025.

Illustrated man with Finnish map on the background. He is wearing a suit and holding a paper.

Finland and AI: Strengths, Challenges and Opportunities

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Finland is a forerunner in AI research and application, but continued success is by no means guaranteed. Amid the technological upheaval, Finland stands out for its digital skills, high-quality research, and robust infrastructure.

Female surgeon using digital tablet

How Large Language Models Are Reshaping Modern Healthcare Industry

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Artificial intelligence is stepping into the doctor’s surgery – and not merely as an assistant, but as part of the care process itself. Large language models are rapidly transforming how patients are treated, research is conducted, and information is processed. Whilst challenges abound, experts predict a radical transformation in healthcare digitalisation over the next five years.

A detailed 3D rendering of a global healthcare concept with a stethoscope on a world map, showcasing digital technology against a black background

Health Technology on the Fast Track in Finland and Across Europe

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Healthcare is undergoing a fundamental transformation as artificial intelligence and large language models surge into consultations, diagnostics, and administrative tasks. In Finland, AI is being increasingly utilised in areas such as cancer diagnostics and brain imaging.

In the picture you can see magnifying glass checking different kind of documents

AI as a Gatekeeper of Knowledge: Benefits, Challenges and Examples from Systematic Literature Reviews

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Artificial intelligence is revolutionizing systematic literature reviews, dramatically reducing the time required while introducing new methodological considerations. This article critically examines AI’s role as both enabler and gatekeeper in the SLR process, analyzing its benefits for efficiency, challenges to reliability, and emerging applications that are reshaping academic research practices.