Data Governance

Transforming Enterprise Data from Liability to Strategic Asset

Elevate your organization's approach to data management through this essential session on Data Governance: the critical foundation that determines AI success or failure. Having experienced firsthand how data quality impacts model performance throughout the course, we'll now learn the structured approach that leading organizations use to maintain data as a trusted, compliant, and accessible resource. 

We share the core principles of effective Data Governance and how to implement them within organizational context, including the key roles and responsibilities needed for sustainable data management. We show how modern Data Catalogs serve as the connective tissue between technical and business teams, providing searchable inventories that transform how stakeholders discover, understand, and utilize enterprise data assets. 

The session concludes by introducing fundamental knowledge management principles that extend governance beyond structured datasets to the broader information ecosystem, creating the foundation for information flow that powers truly intelligent organizations. Essential knowledge for leaders who recognize that sustainable AI adoption requires treating data as a strategic asset requiring deliberate management rather than an accidental byproduct of business operations.

• Outline 
• Data Governance Fundamentals
• Data Governance Roles and Responsibilities
• Data Catalogs
• Fundamentals
• Features
• Knowledge Management Fundamentals

• Format
• This session is lecture-based.

• Level
• Beginner

• Prerequisite Knowledge
• Data Fundamentals

• Learning Outcomes
• Knowledge of Data Governance, Data Catalogs, and Knowledge Management fundamentals