The main challenge of implementing AI solutions is dealing with data quality and availability. AI systems require vast amounts of high-quality data to learn and make accurate predictions. Inadequate or biased datasets can lead to poor performance and unintended consequences. Additionally, organizations often face difficulties in integrating AI with existing IT infrastructure and ensuring that stakeholders have the necessary skills and knowledge to manage AI technologies effectively.