The Experience

Designed for Action

This is not a conference. It's a working engagement where you and your implementation partner build your institution's AI strategy together.

Designed for Academic Decision-Makers

AI Convergence welcomes academic leaders across disciplines, institution types, and stages of AI experience. Bring an implementation partner and a priority your team wants to advance. Technology partners apply first; industry experts participate by invitation.

Who Should Attend

  • Presidents, provosts, deans, associate deans, and other academic decision-makers.
  • AI champions and leaders responsible for strategy, curriculum, faculty development, student experience, operations, or institutional change.
  • Academic leaders who can connect ideas across their institution and mobilize colleagues after the convening.
  • Participants ready to work openly with peers and leave with a focused 90-day action plan.

You do not need to arrive with all the answers. You do need to be ready to ask consequential questions, contribute your perspective, and help move your institution from AI activity to meaningful impact.

Convening Composition

Each convening is intentionally sized and composed to maximize value for all participants:

Institutional Pairs

35–45

Senior leaders and their implementation partners from diverse institution types—R1 universities, regional comprehensives, community colleges, and professional schools

Technology Partners

8–12

Carefully selected founders, product leaders, and engineers whose expertise fits the institutional challenges in the room—no sales pitches

Industry Experts

10–15

Invited employer, talent, and workforce leaders sharing how AI is reshaping the world our students will enter

Three Connected Tracks

Track A

Designing the AI-Ready Student Journey

Reimagine the full student lifecycle—from recruitment and admission through learning, student success, career readiness, and alumni engagement. Center student voice, wellbeing, access, and employer trust as you identify a focused opportunity for action.

Track B

Redesigning Learning, Assessment, and Faculty Practice

Explore how students can build judgment before automation, how curriculum and assessment can evolve, and what faculty need to integrate AI responsibly—including fluency, incentives, support, and space to experiment.

Track C

Building the AI-Ready Institution

Turn AI ambition into institutional capability through strategy, governance, enterprise architecture, data, procurement, risk, operations, and the human side of change.

Choose the track that best matches the challenge you want to advance. Plenaries and cross-track conversations keep the larger institutional system in view.

Draft 2027 Agenda Plan

March 21–23, 2027 • Mori Hosseini Student Union • Daytona Beach, Florida

The convening runs from Sunday, March 21, at 4:00 p.m., through Tuesday, March 23, at 1:00 p.m., including a full day on Monday. All times are local to Daytona Beach. Individual session details, speakers, and room assignments remain draft and will be updated as the program is finalized.

Ready to Join?

Join us March 21–23, 2027, at Embry-Riddle Aeronautical University in Daytona Beach.

Register Now