Redivis is an accessible, modern platform designed to streamline data access, collaboration, and analysis, and is particularly well suited for large and multi-modal datasets. The session will include a general introduction to the platform and its use at UCLA and other institutions, as well as a deeper dive into Redivis’s computational capabilities. We’ll learn how to filter, combine, and analyze data at scale, including examples of integrating machine-learning techniques and large language models in our analytic workflows. Bring your questions and get ready to unlock new possibilities in data-driven research!

Speaker(s):

Ian Mathews
Redivis Co-founder & CEO