Every Campus Wants Agentic AI.
Few Have the Data Foundation For It.

A joint webinar on the data foundation higher education needs for agentic AI — Microsoft Fabric, ontology, and the agents built on top of both.

September 15, 2026 | 11:30 AM–12:30 PM CST
Virtual · 60 minutes University data & IT leaders

The Opportunity

One Institution. A Dozen Disconnected Systems.

Higher education institutions sit on some of the richest, most fragmented data in any industry — student records, research systems, and legacy warehouses that rarely talk to each other. Most AI pilots on campus stall right there, not because the model is weak, but because the data underneath it has no shared shape.

This session is for the data and IT leaders who are past the pilot stage and need a real foundation: a unified platform to modernize on, a semantic layer that makes that data legible to machines, and governed agents that turn both into something your staff and faculty can actually put to work.

Why Attend

What you'll walk away with

Less theory, more of what your institution can act on Monday morning.

A modernization roadmap, not a sales pitch

A clear view of what to prioritize first when moving off fragmented SIS/ERP/CRM systems onto a unified platform like Microsoft Fabric — sequenced, not theoretical.

Ontology made concrete

A practical grasp of why a shared semantic model is what actually lets an AI agent reason over your data — and why skipping it is why most pilots stall.

A working product, not a mockup

A live look at CampusMind.ai working in real higher-education environments — proof this works outside a slide deck.

Governance built for regulated data

How Microsoft Purview classifies and governs FERPA-sensitive student and financial data — discovery, sensitivity labels, access policies, and audit trail — before any agent is allowed to touch it.

Direct line to the architects

Optional 1:1 office hours with CampusMind.ai and Microsoft to scope what modernization would look like for your specific systems — no generic follow-up.

Peer proof, not vendor promises

Reference points from institutions already running this stack, so you're evaluating a track record instead of a projection.

Program

A focused conversation and live demo

A simple, practical program focused on the opportunity, lessons from higher-education leaders, and CampusMind.ai in action.

Introduction 1

Building the Agentic Campus

A brief introduction to the higher-education opportunity and how a unified, governed data foundation can help institutions put AI agents to work.

Panel Discussion 2

From AI Ideas to Campus Impact

Higher-education and technology leaders discuss practical use cases, data readiness, governance, adoption, and the lessons institutions should consider as they move from pilots to real outcomes.

Live Demo 3

CampusMind.ai in Action

A live demonstration of how CampusMind.ai uses Microsoft Fabric IQ to understand institutional data and business context, a Fabric Data Agent to deliver trusted answers from the university’s OneLake data foundation, and Azure AI Foundry to securely build, govern, and orchestrate AI agents that surface insights and support staff and student workflows.

Speakers

From CampusMind.ai & Microsoft

Final roster to be confirmed — placeholders shown below.

PHOTO
Microsoft Speaker
Higher Education Lead
Microsoft
PHOTO
Alex Nesiyan
Director, Technology — AI/ML
CampusMind.ai
PHOTO
Principal AI Engineer
AI Innovation
CampusMind.ai
PHOTO
Data Scientist
MS Fabric Solutions
CampusMind.ai
PHOTO
Data Leader
Roundtable Panelist
Tulane University
PHOTO
Data Leader
Roundtable Panelist
University of Chicago

Who This Is For

Built for the people who own the data problem

CIOs & CDOs
Own the platform decision and the AI roadmap that depends on it.
IT Directors
Running the SIS, ERP, and warehouse infrastructure being modernized.
Provosts & VPs, Academic Affairs
Weighing where agentic AI actually helps the staff and faculty supporting students.
Research Computing Leads
Bridging research data systems into a governed institutional model.

Proof Points

Trusted by data & AI teams at