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 Nordic enterprises shift from viewing AI as merely an efficiency tool to a strategic driver of innovation, a new report uncovers a widening gap between AI leaders and laggards. While insufficient investment has replaced talent scarcity as the primary scaling challenge, companies placing AI at their strategic core are reaping measurable competitive advantages and new revenue streams.
An analysis covering more than 70 customer companies reveals both emerging trends and significant challenges in AI adoption. Senior Researcher Dr Umar Ali Khan identifies the primary obstacles as data quality issues, limited availability, and difficulties integrating AI solutions with existing systems. Additionally, outdated databases, scalability concerns, and increasingly stringent EU regulations further impede development efforts.
Tunnetko pk-yrityksiä, jotka kaipaavat tukea digitaalisessa murroksessa? Tiesitkö, että Finnish AI Region (FAIR) tarjoaa maksuttomia asiantuntijapalveluita, jotka voivat auttaa pieniä ja keskisuuria yrityksiä ottamaan käyttöön tekoälyä ja muita edistyksellisiä teknologioita?
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.
This article is part one 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.
FAIR has renewed its service portfolio, offering SMEs comprehensive support to harness the power of AI and digitalization. Our three-level service package delivers tailored assistance, guiding businesses from initial steps to cutting-edge solutions.
Efficiency, productivity, and artificial intelligence. Better processes and fewer errors. Currently, high expectations are placed on AI, but it’s still premature to suggest that it will replace human labor entirely.
Even with major advancements in artificial intelligence (AI), many companies find it hard to turn these innovations into real business benefits. A report by Boston Consulting Group (BCG) found that, out of over 1,000 companies surveyed worldwide, only 4% have developed strong AI capabilities across their operations and are consistently seeing significant value.
