CDAO Washington D.C. 2026

Presentation: AI Wants Your Data. Can you Scale without Giving Up Control?

AI is expected to move faster, deliver value sooner and work across the business. The catch? It wants access to your most valuable data.

Join Kaycee Lai, VP of AI at Everpure, to explore how organizations can move beyond experimentation and scale AI across the enterprise—building a modern data foundation that accelerates time to value, supports business agility and keeps production AI secure and adaptable, without exposing sensitive data to model training.

Kaycee Lai
VP of AI
Everpure

Presentation: From Prediction to Prevention: How AI Helped Drive Historic Lows in Student Melt

Challenge: Melt (dropping out of course registration before term start) rates have been historically high
Approach: Leverage StIR (Student Intervention Recommender), a proprietary AI platform we have developed, to mitigate the impact
Work closely with Partners to make sure that deployment is seamless and effective
Results: After deployment or Machine Learning Module, our Melt rates have seen historic lows for 6 consecutive terms

Priyo Chatterjee
Chief Analytics Officer
Excelsior University

Presentation: Your Agents don't need Better Models. They need Track Records.

Why the model is the most swappable part of an agent system, and what survives when you replace it
Where guardrails fail in practice: what happens to safely instructions written into prompts once context gets compacted, and why the fix has to live in code
Building on proprietary date that never leaves the perimeter, and what changes when the agent's output has to withstand review rather than impress a demo audience
What we measure now we didn't measure a year ago, and why observed behavior beats declared capability every time

Sean Lensborn
Chief Technology Officer
ZAIS Group

CDAO Washington D.C. 2026
Presentations