For many small and medium-sized enterprises, data security feels both essential and daunting. With limited budgets and technical expertise, where should you begin? And how can you establish a secure operating environment in a systematic way—without costs spiralling out of control?
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.
Finnish AI Region’s new cybersecurity guide offers practical and affordable security solutions for SMEs adopting artificial intelligence.
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.
Trends, Technologies, and Challenges in Enterprise AI.
Algorithms allocate breaks, determine routes, and evaluate performance—management is shifting from human to machine. But what does algorithmic management mean for workers, society, and human leadership in a world where machines increasingly perform supervisory roles with greater efficiency?
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.
