The main challenge when implementing artificial intelligence lies in the collection and management of data. Quality AI systems require large volumes of relevant, high-quality data to learn and make accurate predictions. Organizations often struggle with data silos, inconsistencies, or incomplete data, which can impair AI performance. Moreover, there's a skills gap where businesses may lack personnel with the necessary expertise to develop or manage AI projects effectively. Without proper infrastructure and human resources, the transition to AI can be slow and fraught with challenges.