Real experience, not theory.
Available for conferences, executive summits, corporate events, podcasts, and media interviews — keynotes, panels, workshops, and executive roundtables on enterprise AI, cloud architecture, and digital transformation. Every talk goes from the board-level decision down to how the system actually behaves.
Beyond pilot purgatory: scaling AI in the enterprise
Why most enterprise AI initiatives stall — and the organizational, technical, and cultural shifts needed to move from experimentation to production.
Cloud architecture for the AI era
How cloud infrastructure must evolve to support AI workloads — from data pipelines and GPU orchestration to cost governance and security.
The data readiness gap
A practical framework for assessing and achieving AI-ready data — the most overlooked prerequisite for successful AI adoption.
Digital transformation without the buzzwords
Cutting through the noise: what actually works when modernizing enterprise technology, and what's just expensive theater.
AI tokenomics: measuring cost per outcome
Why AI spend needs the same discipline as cloud spend — tracking cost per feature and per user, capping budgets before release, and deciding when self-hosting actually pays off.
Agentic AI in production: contracts, determinism, and failure surfaces
What separates agent demos from agent systems — knowledge with defined inputs and outputs, deterministic execution wherever correctness is defined, and testing that covers the failures nobody triggered.
Silicon to System: The End-to-End AI Infrastructure Journey
SHIFT: AI 2026 · Technology Association of Georgia, Atlanta · Panel
What has to happen underneath enterprise AI for it to move from experimentation into reliable production — infrastructure, data readiness, architecture, modernization, security, and resiliency. With Kiba Polk (Gainwell Technologies) and Nathan Smith (Kyndryl), moderated by Vijay Patwari (Code Comprehend).
Tokenomics
GNTC Summit 2026 · Nashville · Talk
Tracking AI cost per feature and per user, with a live demo of how Trinetix measures it. Five decisions for teams: name an owner for every AI workflow, measure cost per accepted outcome, cap spend before anything ships, test caching and routing gated by evals, and re-check self-hosting math before assuming it is cheaper.
Book me for your event.
Talks are tailored to your audience — from C-suite strategy sessions to technical deep dives.