TENNAIR 2026

As higher education institutions invest in artificial intelligence, Institutional Research (IR) offices are uniquely positioned to translate these capabilities into meaningful, trusted insights. However, AI adoption is only as effective as the data foundations that support it.
This session explores how data modernization efforts—standardized definitions, governed data pipelines, and scalable reporting structures—enable practical and responsible AI use within IR. Rather than focusing on theory, the session highlights concrete use cases where AI can enhance IR functions, including reporting automation, enrollment analysis, and workforce alignment.
Presenters will also examine the evolving role of IR in an AI-enabled environment, with particular attention to governance, data quality, and maintaining institutional trust. Attendees will leave with a pragmatic framework for identifying AI opportunities, avoiding common pitfalls, and positioning their IR office as a leader in data-informed decision-making.