This presentation will share how data governance and data management capability maturity should influence organizations’ preparedness to invest in leveraging AI/ML Models. In this session, we will: 

• Present an AI/ML model deconstructed, a subject area model detailing the most critical and common business, governance, technology, and data-related components which are part of or influence its lifecycle.  
• Demonstrate the need for a data governance operating model to ensure AI/ML model inputs and outputs are understood and proactively managed. This sets the stage to identify and overcome regulatory and reputational risks and ensure ethical use of an individual’s data is always at the forefront.   
• Explore the surprisingly large ecosystem stakeholders, within and outside the organization, which influence the model’s success and with which model developers must interact transparently.
• Summarize why focusing on maturing its data governance and management capabilities to support AI/ML Models benefits a host of other enterprise-level use cases.