Kat Wifvat, PhD CEO of Nuubi and a Data Science professor, joins Deconstructing Data to explore how AI is reshaping education and preparing students for the future of work.

In this conversation, Kathryn brings an academic and operator perspective to the role of AI in learning. She shares how educational institutions can move beyond experimentation and start treating AI as a true pipeline for workforce readiness. From the rise of agentic AI tutors to the responsible use of anonymized learning data, this episode focuses on how data and AI can improve outcomes for students while maintaining trust, privacy, and rigor.

Topics we’ll cover include:

1. AI in Education as a Pipeline

2. Agentic AI Tutors

3. Anonymized Learning Data Enrichment

4. Tech Stack

This episode is for educators, data leaders, and operators who want to understand how AI-driven learning models are evolving, what’s actually working today, and how education systems can responsibly scale AI to support both students and institutions.