The integrity and trustworthiness of data or any other master entity is enforced via data quality rules. Customers no longer want to rely on hand crafted rules that can number in the thousands, which in turn also need a lot of maintenance. Riding on the machine learning (ML) wave, customers can break free from their rule-based business logic and rely on data driven decisions within product information management systems (PIM). These processes are necessary for decreasing effort and saving time and costs. The IBM InfoSphere Master Data Management (MDM) suite offers these ML capabilities in IBM MDM Product Master to help organize product and service information across the enterprise. As a PIM solution, IBM Product Master (formerly IBM InfoSphere Master Data Management Collaborative Edition) aggregates information from any upstream system, enforces business processes to ensure data accuracy and consistency, and synchronizes trusted information with downstream systems.