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Personalize Student Recruiting with AI Predictions
Learn how Antioch University leveraged Data Cloud and MCP to build AI-driven predictions for deeply personalized student recruiting across web, SMS, email, and more.
Important: This session is first come, first seated. You do not have a reserved seat.

, Associate Vice Chancellor for Enrollment Management, Antioch University

, Business Intelligence Engineer, Antioch University

Role: Administrator, Operations
Industry: Education, Public Sector
Institution Type: Public, Private, Executive Education, Nonprofit
Topic: Artificial Intelligence
Session Type: Theater
Session Level: Beginner
  • Tuesday, Mar 114:00 PM - 4:20 PM CDT
    (9:00 PM - 9:20 PM GMT)
    Stage 3 (Campground, Level 3)
  • Wednesday, Mar 124:00 PM - 4:20 PM CDT
    (9:00 PM - 9:20 PM GMT)
    Stage 3 (Campground, Level 3)
Objective 1: Understand how Data Cloud and MCP work together to personalize communications across multiple channels.
Objective 2: See how predictive models shift staff efforts from reactive to proactive recruiting strategies.
Objective 3: Explore how to apply Data Cloud and Marketing Cloud Personalization to areas beyond recruiting and admissions.