Monday, October 07 | 1:00PM–2:00PM ET | Online

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

  • Mike Baur

    Senior Director, Education Strategy / Development, Resultant

Inclusion and Accessibility

EDUCAUSE strives to hold meetings, conferences, and other professional events where all attendees feel welcome and barriers of any type do not exclude people from attending or participating. EDUCAUSE recognizes that long-term and lasting progress on this front will require time, sustained effort, and the cumulative impact of incremental and individual actions.

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