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

AutoML promises to democratize AI for SMEs, yet many struggle to implement it beyond pilot stages. Building on our prior work [۱], 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.

کلیدواژه ها:

Automated Machine Learning ، SME ، AI adoption ، implementation challenges