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.
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.
What if your company’s chatbot started repeating falsehoods – and no one noticed why? A new phenomenon called LLM grooming reveals how AI can be manipulated quietly and systematically. The result may be a reputational crisis, misleading analytics, and a dangerous trust in the machine’s word.
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.
The European Union is aiming to respond to the AI race shaped by global superpowers on its own terms – through a strategy grounded in values, powered by startups, and guided by geopolitical priorities.
Understanding AI agents and their value for businesses, minus the hype.
This article is part two of “What Algorithms Are and What You Should Know About Them” by senior reacher Janne Kauttonen and RDI Communications Specialist Martti Asikainen. In this article we dive into the more technical concepts of algorithms.
What Algorithms Are and What You Should Know About Them This article is part one of “What Algorithms Are and What You Should Know About Them” by RDI Communications Specialist Martti Asikainen and senior reacher… What Algorithms Are and What You Should Know About Them
As artificial intelligence continues to reshape the business landscape, companies face complex challenges in implementing AI effectively. Through its comprehensive analysis of over 70 European companies’ AI adoption journeys, the Finnish AI Region (FAIR) project reveals critical insights into current trends, challenges, and success factors in AI implementation. This article presents key findings from FAIR’s AI consultancy services, offering valuable perspectives on AI maturity levels, technical expertise requirements, and sector-specific applications across startups and established businesses.
This article is part two of “Opportunities and Pitfalls of Generative AI from an SME Perspective” by senior reacher Janne Kauttonen and RDI Communications Specialist Martti Asikainen, originally published in Finnish in Haaga-Helia University of Applied Sciences’ eSignals Pro.
