Webinar | Operationalizing AI in Higher Education: Strategies for Data-Driven Success
This webinar is a part of the EDUCAUSE Industry Insights series.
To fully harness the potential of AI and predictive analytics in higher education, institutions must adopt strategic approaches that use existing resources efficiently. This session explores the evolution of analytics over the past 15 years, highlighting how modern tools can address every institution’s top two pain points: enrollment and student retention. By understanding the history and current state of analytics in higher education, participants will gain insights into effective strategies for operationalizing AI in a modern cloud-native world. The discussion will feature thought leaders from academia and industry who will provide strategies for integrating predictive analytics into higher education operations. Attendees will leave with actionable steps to enhance their institution's data literacy, reduce risks, and achieve scalable success.
Learning Outcomes:
- Understand the evolution of analytics in higher education over the past 15 years.
- Identify current IT and institutional research challenges in higher education from both business and technical perspectives.
- Learn practical applications of predictive analytics to improve enrollment and student retention at scale.
Additional Resources
Presenters
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CEO, Discourse Analytics -
Mike Baur
Senior Director, Education Strategy / Development, Resultant -
Jeff Leichty
VP/CIO, Indiana Tech
Resources & Downloads
Accessibility
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