It is undeniable that big data analytics provides a real opportunity to academic institutions, specifically in predictive and prescriptive analytics. However, some studies show that academic institutions are the lowest adopters of predictive and prescriptive methodology. This divide can be overcome through thoughtful analysis of an institution’s technology ecosystem and a use case-driven approach to implementation.
Machine learning (ML) and artificial intelligence (AI) give institutions the ability to analyze large sets of data that can be used to focus more intently on the individual learner. On a broader scale, student data can also be parsed through predictive churn to focus on finding, retaining, and supporting the next generation of students.
Join AWS and TIBCO for a webinar as we discuss the promise of adopting predictive and prescriptive analytics and how higher education institutions are doing this successfully today.
You will learn how to apply predictive and prescriptive analytics to:
- Targeted student advising
- Adaptive learning
- Enrollment management
- Overcoming perceived limitations
This webinar was originally presented by Campus Technology.