Paul brings more than 20 years of experience working with data — from building systematic trading platforms in global finance to now applying those same data and AI capabilities to improve education systems worldwide.

In our conversation, we explore how artificial intelligence is reshaping organizations, not by replacing people, but by helping them work smarter, faster, and more collaboratively.

Paul shares how AI can dramatically reduce the time it takes to process complex education data — turning work that once took months into something that can now happen in hours. But the real opportunity, he argues, lies in something even bigger: what he calls “collective organizational intelligence.”

The idea is simple but powerful — when information flows freely through an organization, people can make better decisions together. AI becomes the tool that helps teams move more like a coordinated system rather than isolated departments.

We also dive into some of the big questions surrounding AI today:

• How do we implement AI responsibly?
• What role should ethics play in designing these systems?
• Could AI widen the global accessibility gap in education — or help close it?
• And how do we ensure humans remain in the driver’s seat?

It’s an optimistic but thoughtful discussion about where AI might take us — particularly in education — and why deliberate, human-centered implementation will matter more than ever.

If you’re interested in the intersection of AI, education, data systems, and global impact, this episode is well worth a listen.

Paul also discusses his newly released research article “Outcomes AI,” which explores practical ways organizations and governments can safely introduce AI into education systems.