What AI Means for Strategic Enrollment Management
and Student Success
Of the 3.5 million students who enrolled in college for the first time in fall 2017, 74 percent of students persisted as of fall 2018. While those numbers have increased incrementally over the last few years, many institutions are struggling with making a meaningful improvement in retention, graduation, and more importantly, success rates.
Join Othot’s Bob DiMaggio and Traci Roble for a webinar where they will discuss how predictive and prescriptive analytics can inform strategies and tactics to improve student outcomes. They will highlight use cases and offer strategies to bridge the gap from enrollment to retention and enrollment to initial academic success.
What You’ll Learn
- How admissions and student success are dependent
- How to understand the true impacts of student success
- Why rules of thumb can be misleading
Bob DiMaggio, Vice President of Product, Othot
Bob is experienced in solving large, difficult problems and leading the creation of complex software products. He especially enjoys working on data-heavy products with complex architectures and requirements. Before Othot, Bob built products in the defense contracting, social gaming, internet video distribution, financial services, file sharing and backup, and e-commerce industries. He is a graduate of Carnegie-Mellon University with a BS in Electrical and Computer Engineering and an MBA from CMU’s Tepper School of Business.
Traci Roble, Customer Success Manager, Othot
Traci is a problem-solver and prides herself on building strong partnerships with her customers and has a proven track record of delivering results in fast-paced and ever-changing environments. With 15 years of experience in enrollment management, Traci has held Vice President and Director level roles at higher educational institutions. She is a graduate of Allegheny College with a B.S. in Psychology and Neuroscience and is working on her MS in Industrial and Organizational Psychology.