In today’s rapidly evolving business landscape, understanding customer behavior and preferences is crucial for success. To gain this understanding, many companies are turning to AI-powered customer insights tools. These tools use machine learning to analyze customer data, predict trends, and provide actionable insights that can transform marketing strategies and improve customer satisfaction. However, the successful implementation of such tools requires both individual and team-based learning. This blog post explores the key aspects of learning that need to be addressed individually and as a team, how technology can be leveraged to enhance team-based learning, and the potential challenges that may arise, along with strategies to overcome them.