In this two-part on-demand webinar, Elissa Seto, Director of Sales and Marketing at eScholar and Tina Lieu, Content Consultant at Babel Street discuss the challenges associated with accurately identifying students across large education systems, and how AI-driven name matching can help.
Key points include:
- How unique IDs help state and local education agencies enroll students accurately and efficiently, and track them across multiple programs
- How identity matching AI can quickly and unambiguously determine whether a student is associated with a particular ID
- How match scores work to alert users that human intervention might be needed to resolve a match