DAMA GA February 2025 Chapter Meeting (In-Person and Virtual)

"Data as the Foundation for AI Success"

This topic will explore key elements critical to building a robust data foundation for AI success. It begins by examining the role of data quality, governance, and stewardship in ensuring AI readiness, emphasizing the need for accurate, consistent, and well-managed data to support reliable model outputs. Next, the session addresses the challenges and strategies for balancing structured and unstructured data within AI ecosystems, showcasing how both types of data contribute to holistic insights. Lastly, it highlights the pivotal role of metadata management in fostering AI model transparency, interpretability, and regulatory compliance, ensuring ethical and accountable AI deployment. Attendees will leave with actionable strategies to optimize their data frameworks, enabling their organizations to harness the full potential of AI.