The primary challenge of implementing machine learning in businesses lies in the availability and quality of data. Successful machine learning models require extensive, high-quality data for training; without sufficient data, the models may produce inaccurate insights and predictions. Additionally, organizations often face obstacles related to integrating machine learning into existing workflows and ensuring employees possess the necessary skills and understanding to leverage these technologies effectively. Overcoming these challenges is crucial for reaping the benefits of machine learning.