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Machine Learning for Student Success

We hear every day that artificial intelligence and machine learning are going to change the way businesses and institutions function, opening up doors to automated improvements and changing the workforce skills needed to succeed. Machine Learning holds boundless potential, but the terminology is often misused or overused and not specific to the industry you care about - Higher Education.

In this webinar panel, we will cover an overview of the concepts involved and hear from Splunk customers, UNLV and UNC Chapel Hill, on their successful use cases for machine learning and plans for the future.

Tune in to answer the following questions:

  • When people talk about Artificial Intelligence and Machine Learning, what does that really mean?
  • Why is everyone talking about machine learning and how can I leverage it in the Higher-Ed space?
  • Are Higher Ed institutions already doing this?
  • How can I take the right steps to implement machine learning successfully within Splunk?


Anna Mensing
Sr. Product Marketing Manager
Splunk Machine Learning Team
Gyanendra Rana
Sr. Product Manager
Splunk Machine Learning Team
Matt Bernacki
Assistant Professor Learning Sciences
UNC Chapel Hill School of Education
Robert Plumley
Learning Sciences Doctoral Student & Research Assistant
UNC Chapel Hill
Wonjoon Hong
Post-doctoral Researcher
UNLV College of Education Office of Learning Analytics