We know that AI needs effective data governance to succeed. Chances are if your organization is investing in AI initiatives, you’ve come to the same conclusion. Well-governed, effectively managed data is critical to AI success and scalability.

Strong, healthy relationships work both ways. Data governance gives so much to AI. How can AI give back to data governance?

In this session, we will discuss the various ways in which AI can support better data governance. We will move beyond the theoretical (e.g., “AI speeds things up”) and will focus more specifically on use cases and data governance focus areas where AI can supercharge the very same data governance capabilities that power effective AI. Some of the questions we will answer:

• Metadata Management – classification, tagging, and organizing metadata on both an initial and ongoing basis. What does “good enough” look like for AI-powered metadata management, and how do we drive stronger searchability and context for data?
• Data Quality – anomaly detection, root cause analysis, issue correlation, and prioritization within a business, not technical, context. What does proactive data quality look like with AI at your side?
• Data Security – policy enforcement, access management, and monitoring that can streamline data security. How do we cultivate and promote safer, more secure behaviors when managing and leveraging data?
• Compliance and Risk Management – contracting, regulatory management, mapping, and monitoring. How can we leverage AI to monitor contractual obligations, interpret regulations, map risks and requirements to data, or flag gaps?
• Blue Sky Use Cases – where can we go next? What does next-generation data governance, powered by AI, look like?

Come join Noah Yao and Lani Chun, practice leads for SC&H’s Data Strategy & Governance practice, for some relationship counseling as we flip the script and discuss how AI can do its share and support more effective data governance.

Speaker: Noah Yao, Principal, SC&H Group

Noah Yao is a Principal in SC&H’s Data Strategy & Governance practice, bringing more than a decade of experience leading digital and data initiatives for Fortune 500 companies and leading healthcare organizations. He partners with clients to design and implement enterprise data strategies and governance frameworks that accelerate data-driven transformation across their organizations.

At SC&H, Noah co-leads the firm’s Data Strategy & Governance service, supporting clients with end-to-end strategy, operations, and enablement. His work spans data strategy visioning, data governance frameworks, and data management capabilities, including lifecycle management, quality, and architecture. Noah’s approach emphasizes technology enablement—leveraging automation, AI, and strategic partnerships with top data platform providers to help organizations operationalize their data initiatives effectively.

Passionate about developing high-performing teams, Noah believes that mentorship and coaching are the foundation of long-term success in consulting. He dedicates significant time to nurturing emerging talent and building a culture of continuous learning and growth within his teams. His client philosophy centers on partnership, transparency, and delivering lasting value through innovation.

Noah earned his Bachelor of Business Administration from Emory University’s Goizueta Business School, with dual concentrations in Finance and Strategy & Operations.

Outside of work, Noah is an avid tennis player and community volunteer. He serves on parent committees at his daughter’s school, supports the USTA, and has long been involved with the American Cancer Society.

Speaker: Lani Chun, Principal, SC&H Group

Lani Chun, PhD, is a Principal in SC&H’s Data Strategy & Governance practice, bringing over a decade of experience helping complex organizations harness the power of their data. She specializes in designing and implementing data strategy, governance, and management frameworks that drive innovation, compliance, and measurable business value.

At SC&H, Lani co-leads the firm’s Data Strategy & Governance service line, where she partners with clients to develop and operationalize end-to-end data programs. Her work includes crafting data governance models, developing data management standards, and leveraging automation and AI to enable scalable, sustainable solutions. Lani’s deep background in pharmaceutical consulting allows her to navigate the intricate regulatory and operational environments of global life sciences companies, tailoring each solution to her clients’ unique challenges.

Lani is deeply passionate about building cohesive, high-performing teams. She believes that the strongest results come from collaboration, shared accountability, and an appreciation of each team member’s strengths—a philosophy inspired by her own experience in team-based disciplines.

Lani holds a PhD in Biology, with a focus on pharmaceutical sciences, from Johns Hopkins University, and dual Bachelor of Science degrees in Biology and Biochemistry from the University of Washington.

Outside of work, Lani enjoys indoor rock climbing and revisiting her love for Star Trek.