Example Concept: One major challenge is ensuring data quality and consistency across various business units. Enterprises often have disparate data sources, making it difficult to create a unified data strategy. Implementing AI requires a robust data infrastructure that can handle large volumes of data, ensure data privacy, and provide seamless integration with existing systems to enable scalable AI solutions.