A two-pronged approach is essential for rolling out AI solutions effectively, balancing machine learning models with robust infrastructure. By leveraging past experiences, teams can identify low-hanging fruit use cases while building turnkey solutions that streamline data management. The potential for cross-silo correlations enhances value, allowing for more accurate insights and reducing false positives.