What are the best practices for integrating AI into small and medium-sized enterprises (SMEs)?
Best insight from top research papers
Integrating AI into small and medium-sized enterprises (SMEs) involves overcoming challenges such as costs, technical requirements, and lack of knowledge . To address these issues, SMEs can benefit from utilizing toolkits designed to support ethical AI practices, focusing on human-centric AI principles and practical usability. Additionally, SMEs can leverage AI as both an offense and defense mechanism against malware threats, ensuring privacy and security. Implementing a multi-criteria decision-support system that considers factors central to AI adaptation initiatives can help SMEs navigate the complexity of integrating AI technologies into their operations. By selecting suitable AI suppliers, enhancing AI knowledge, and identifying areas for AI implementation within their organizations, SMEs can effectively adopt AI solutions with programmatic support.
Answers from top 5 papers
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| Papers (5) | Insight |
|---|---|
| The paper suggests best practices for SMEs to integrate AI, including validating suppliers, assessing AI readiness, and identifying suitable business areas for AI implementation. | |
| Costs and technical requirements are key challenges for AI integration in SMEs. Future prospects include reduced costs and increased convenience with further research and development. | |
| The study proposes a decision-support system using cognitive mapping and DEMATEL to identify key factors for successful AI adaptation in SMEs, aiding in integration best practices. | |
15 Feb 2023 | Implementing AI in SMEs involves balancing IT expertise and cost-effective security solutions, utilizing machine learning techniques to protect data effectively without compromising on expenses. |
| Not addressed in the paper. |
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