Using AI to Predict Course Demand
This session will walk through an AI use case where we needed to deliver a course demand prediction model in 5 weeks. We iterated quickly using one week agile sprints and used Google Cloud tools to accomplish this deliverable. We'll discuss the technical details of the data used in the model, GCP services used, and the end user data & results that we provided.
Speaker/Host
Primary/Host Speaker
Mattie Langford
Data Scientist at UC Riverside
Co-speaker(s)
Additional Speakers
Michelle Hardwick
Chief Data Officer at UC Riverside
Michelle Hardwick is the Chief Data Officer for UCR. Her primary goal is to create intuitive and insightful data products that drive data-informed decisions and boost data literacy across the campus. With over 20 years of experience in data, Michelle has overseen multiple implementations of data warehouses, BI, analytics, and machine learning across many industries. She is passionate about improving storytelling with data and effective data visualizations. Michelle has a BS in Computer Science from Winona State University and an MBA from Utah State University.
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