Practical AI for the Energy Industry - Professional Microlearning

This session qualifies for 1 CPD/CPLD/CPE Hour credit.

Every time you use a general-purpose AI tool with your company’s data, you are making a trade: you hand over your raw operational data, your domain logic, your institutional memory, and your competitive advantage. In return, you get a generic answer — with no audit trail, no way to verify the math, and real hallucination risk on decisions that matter.

Most professionals don’t realize there is another way.
Join us for a focused professional microlearning session with Babak Shafiei, Founder & CEO of PyxonData, who will introduce an entirely new architecture for working with AI — one where your data never leaves your device, your domain knowledge is treated as an asset class, and every calculation is visible and verifiable.
This is not a lecture. You will leave with a working sovereign AI agent that you built during the session.
What You Will Learn

1. The Implicit Trade: every interaction with general-purpose AI involves a hidden exchange most professionals never see, and why it matters for your organization’s data, IP, and regulatory standing.
2. Logic vs. Reasoning: the critical distinction that changes everything: your domain rules, operational patterns, regulatory thresholds, and institutional knowledge are yours to keep. Reasoning is what AI does well. A sovereign architecture keeps them separate.
3. The AI Firewall & Data Sovereignty: why your data should never leave your environment, and how zero-egress architecture and the Dialogue Intelligence Framework make that possible without sacrificing AI capability.
4. Your Logic Is an Asset Class — How to encode your domain expertise, SOPs, and operational knowledge directly into an AI agent you own and control — with Glass Box analytics where every query and calculation is fully visible.
5. Hands-On: Build Your First Sovereign Agent

What You Walk Away With

1. A new mental model for evaluating any AI tool
2. A working sovereign agent you built yourself during the session
3. The Dialogue Intelligence Framework to assess AI risk and capability in your organization
4. Language and materials to bring this conversation back to your team