The main hurdle in implementing AI and machine learning often lies in educating people about its capabilities and limitations. Many struggle to understand when and how to utilize these technologies effectively, particularly when data is scarce. Additionally, investing in robust infrastructure is crucial for maintaining data quality and model performance, ensuring that machine learning initiatives can thrive.
