Breaking the Barriers: Identifying and Overcoming Implementation Challenges of AutoML in Small and Medium Enterprises (SMEs)

نویسندگان

  • Ali Nabiloo Azimi National University of Skills (NUS) Tehran, Iran نویسنده
  • Mahdiyar Abdollahi National University of Skills (NUS) Tehran, Iran نویسنده
  • Dr. Mehrdad Hamidzadeh National University of Skills (NUS) Tehran, Iran نویسنده
  • Amin Kiani National University of Skills (NUS) Tehran, Iran نویسنده

کلمات کلیدی:

Automated Machine Learning, SME, AI adoption, implementation challenges

چکیده

AutoML promises to democratize AI for SMEs, yet many struggle to implement it beyond pilot stages. Building on our prior work [1], this paper identifies key adoption barriers—technical (data quality, integration), organizational (skills gaps), and economic (hidden costs)—through case study analysis. We provide actionable strategies to bridge the gap between AutoML potential and real-world SME deployment.

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بیوگرافی نویسندگان

  • Ali Nabiloo Azimi، National University of Skills (NUS) Tehran, Iran

      

  • Mahdiyar Abdollahi، National University of Skills (NUS) Tehran, Iran

       

  • Dr. Mehrdad Hamidzadeh، National University of Skills (NUS) Tehran, Iran

       

  • Amin Kiani، National University of Skills (NUS) Tehran, Iran

      

مراجع

1.

M, Abdollahi. A, Azimi. M, Hamidzadeh. A, Kiani. (2023). How AutoML Can Empower SMEs to Leverage AI: The AloPlay Case Study. Journal of Small Business Technology

2.

He, X., Zhao, K., & Chu, X. (2021). AutoML: A Survey of the State-of-the-Art. ACM Computing Surveys, 54(3), 1-35. https://doi.org/10.1145/3459635

3.

KarMarker, S. K., Hassan, M. M., & Smith, M. J. (2021). AutoML to Date and Beyond: Challenges and Opportunities. IEEE Transactions on AI, 2(4), 310-325.

4.

Waring, J., Bajwa, R., & Devaraj, S. (2020). Organizational Barriers to AI Adoption in SMEs: A Qualitative Analysis. Harvard Business Review, 98(5), 78-91.

5.

Google Cloud. (2022). The Hidden Costs of AutoML: An SME Perspective. Technical Report. Retrieved from https://cloud.google.com/whitepapers/automl-sme

6.

McKinsey & Company. (2023). Measuring AI ROI in Resource-Constrained Businesses. McKinsey Analytics.

7.

Gartner. (2023). SME Tech Adoption Trends 2023. Gartner Research.

8.

Iranian ICT Guild. (2023). AutoML Adoption in Iranian SMEs: Challenges and Success Stories. Tehran: Digital Economy Press.

9.

Microsoft. (2024). ML.NET v3.1 Documentation. Retrieved from https://learn.microsoft.com/en-us/dotnet/machine-learning

چاپ شده

2025-08-22

ارجاع به مقاله

Breaking the Barriers: Identifying and Overcoming Implementation Challenges of AutoML in Small and Medium Enterprises (SMEs). (2025). پایگاه مقالات مرکز همایشهای مهندسی توسعه, 2(7). https://pubs.bcnf.ir/index.php/Articles/article/view/656

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