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Insights on data governance, artificial intelligence policies, compliance and data management strategies.
February 27, 2025 • University of Denver
Understanding what data governance is, who is involved and the principles that guide responsible data management.
How organizations structure their data responsibilities and define functional groups for better governance.
A practical guide for using generative artificial intelligence responsibly and securely in organizations.
Integrating operational excellence initiatives with governance strategies for improved data management.
Data governance defines how organizations manage, protect and leverage their data assets. A strong governance framework ensures data integrity, regulatory compliance and responsible usage of information across departments.
Governance policies provide guidance for strategic initiatives while promoting collaboration between departments such as IT, finance, research and academic services.
Data should be easy to locate, understand and compare across departments.
Information should remain consistent and avoid conflicts between multiple data sources.
Data must be securely maintained and protected from unauthorized access.
Data should always be processed according to privacy regulations and institutional policies.
Artificial intelligence tools are transforming modern organizations. Responsible use is essential to protect data privacy, intellectual property and regulatory compliance.
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