According to a recent survey, the majority of Finnish small and medium-sized enterprises (SMEs) (60%) are not yet leveraging artificial intelligence (AI) in their operations. A significant barrier to adoption is the lack of expertise, which nearly half (44%) of these companies identify as their biggest challenge.
The Current State of AI Utilization in SMEs
Among companies utilizing AI, many report significant benefits, particularly in the form of increased efficiency. AI use is most prevalent among businesses providing professional services, especially those with more than ten employees operating in the Helsinki metropolitan area. Over half (57%) of these businesses use AI. Companies in the industrial and retail sectors have also begun integrating AI into their operations.
Regional and Sectoral Disparities
The survey results reveal clear regional disparities in AI adoption. In the Helsinki metropolitan area, 58% of businesses utilize AI, while in Eastern Finland, the figure is only 28%. Among industries, construction companies exhibit the lowest AI adoption rates, with only one in four using the technology.
Barriers and Challenges in AI Adoption
In addition to a lack of expertise, businesses cite concerns related to data security and privacy as significant obstacles to adopting AI. These concerns highlight the need for additional training and information to help companies integrate AI safely and effectively into their operations.
The Role of Training and Future Prospects
To address these challenges, the Federation of Finnish Enterprises and Elisa have launched the Entrepreneurs & AI learning initiative. This program offers training sessions, webinars, informational content, and podcasts with practical tips for leveraging AI. The goal is to enhance companies’ expertise and ensure they remain competitive in the face of technological transformation.
Reflections on the Role of AI in SMEs
The adoption of AI in SMEs raises several questions. How can equal opportunities for AI utilization be ensured for all companies, regardless of their location or industry? How can data security and privacy concerns be resolved to avoid hindering progress? It is clear that education and the dissemination of knowledge play a critical role in overcoming these challenges.
While AI adoption in SMEs is still in its early stages, its potential is immense. With the right support and resources, businesses can leverage AI to improve efficiency and enhance their competitiveness.
Practical Steps to Initiate AI Adoption in a Company
Adopting artificial intelligence (AI) in a business may seem like a significant leap, but with careful planning and consistent actions, the transition can be managed efficiently and effectively. The benefits of AI in business, such as enhanced processes, improved customer experiences, and strengthened competitiveness, can be achieved step by step. Below is a phased process to help companies start leveraging AI.
1. Define Business Needs and Objectives
AI should not be adopted for technology’s sake but to address specific business needs. Start by identifying challenges and opportunities where AI can add value. For example:
- Could a chatbot streamline customer service?
- Would AI improve inventory management through better analytics?
- Could machine learning refine sales forecasting?
Clear objectives make it easier to focus on solutions that align with strategic business goals.
2. Start Small and Test
Begin with a small-scale pilot project or experiment. This could involve optimizing a single business process with an AI tool. Pilot projects allow companies to test the technology with low risk and gain insights into implementation without committing excessive resources upfront.
3. Choose the Right Tools and Partners
AI adoption doesn’t always require significant investments. Many AI solutions today are accessible, easy to deploy, and cost-effective, such as SaaS-based AI platforms. Businesses don’t need to develop everything in-house—external service providers and consulting firms can assist with technology integration and customization to meet specific needs.
4. Develop Employee Skills
Leveraging AI requires not only technological resources but also skilled personnel. It’s essential that employees understand AI’s potential and know how to use it in their roles. Investing in training programs can help staff learn to analyze AI-generated data and apply it in decision-making processes.
5. Focus on Data Quality and Accessibility
The effectiveness of AI solutions largely depends on the quality of the data used. Companies should ensure their data is up-to-date, accurate, and easily accessible. Additionally, ethical and privacy considerations related to data collection and management should be addressed from the outset. High-quality data forms the foundation on which AI models are built.
6. Monitor and Evaluate Results
Once AI solutions are implemented, it’s crucial to monitor their impact on the business and assess whether the set objectives are being achieved. Metrics such as increased customer satisfaction, improved productivity, or cost savings can serve as indicators. Since AI is constantly evolving, optimizing its use requires regular evaluation and iteration.
7. Build a Culture That Supports Innovation
A culture that encourages experimentation and the adoption of new technologies is essential for successful AI implementation. Leadership should demonstrate commitment to AI and encourage employees to participate in its development. When employees feel involved in the process, it fosters motivation and improves the likelihood of success.
8. Integrate AI into Strategic Planning
AI should not be treated as a standalone component but as an integral part of the business. This means continuously evaluating AI’s potential and incorporating it into decision-making, resource allocation, and long-term planning.
9. Ensure Scalability and Future Readiness
After the pilot phase, companies should plan how successful solutions can be scaled across the organization. Staying up to date with advancements in AI technology and assessing new tools or innovations for potential benefits is equally important.
Adopting AI in business doesn’t happen overnight, but with meticulous planning and a commitment to continuous learning, companies can achieve significant benefits. The key is to view AI as a tool that supports business objectives and to ensure its adoption is embraced at all organizational levels. AI utilization is a journey of ongoing development and innovation, unlocking new opportunities for the future.