25 years of enterprise experience, published research, and systems I have actually built. Audiences leave with frameworks they can use Monday morning, not theory that fades by lunch.
Speaking
Talks and topics.
Talks for architects, platform teams, and executives operating AI at scale.
Why Invite Me
- Ph.D., Information Technology
- 2 Granted U.S. Patents
- 17 Pluralsight Courses
- Adjunct Faculty Since 2010
- Mississippi College Distinguished Alumnus
- 25+ Years Enterprise Tech
Publicly visible proof includes a Pluralsight author profile, Mississippi College Distinguished Alumnus recognition, Digital Realty executive authorship, and Data Center Dynamics industry writing.
Speaking Topics
Focused sessions for leaders building serious AI in the enterprise.
- Context Compilation: The Missing Layer in Enterprise AIWhy retrieval-augmented generation isn't enough — and how a formal theory of context compilation changes how we build AI systems.
- Why Your SDLC Can't Govern Agentic WorkThe traditional software development lifecycle assumes human executors. Cybernetic Software Delivery provides the governed alternative.
- From Proof of Concept to Production: Enterprise AI at ScaleMoving past the pilot trap — architecture, governance, and organizational patterns that turn AI experiments into production platforms.
- Agent Operating Systems: Architecture for AI-Native EnterprisesWhat enterprise infrastructure looks like when AI agents are first-class participants — scheduling, memory, governance, and inter-agent coordination.
- Token Economics: The CFO's Guide to AI InfrastructureThe real cost model for enterprise AI — token budgets, model portfolio theory, and how to make intelligence economically sustainable.
- Memory Systems for Human-AI WorkHow AI systems maintain continuity of cognition across tools, sessions, and time — from episodic recall to compiled context.
- The Autonomous Stack: What Enterprise AI Infrastructure Looks Like in 2027From the data substrate nobody's building to agent operating systems to prescriptive intelligence that doesn't wait to be asked.
- Private AI and Governed Intelligence at ScaleArchitecture for regulated industries — security, compliance, and trust in enterprise AI without sacrificing capability.
Topic Notes
Audience: AI architects, platform engineers, enterprise CTOs
Context Compilation: The Missing Layer in Enterprise AI
Why retrieval-augmented generation isn't enough — and how a formal theory of context compilation changes how we build AI systems.
Audience: Engineering leaders, DevOps teams, VP Engineering, CTO/CIO
Why Your SDLC Can't Govern Agentic Work
The traditional software development lifecycle assumes human executors. Cybernetic Software Delivery provides the governed alternative.
Audience: C-suite, VP Technology, enterprise strategy leaders
From Proof of Concept to Production: Enterprise AI at Scale
Moving past the pilot trap — architecture, governance, and organizational patterns that turn AI experiments into production platforms.
Audience: Enterprise architects, AI platform teams, infrastructure leaders
Agent Operating Systems: Architecture for AI-Native Enterprises
What enterprise infrastructure looks like when AI agents are first-class participants — scheduling, memory, governance, and inter-agent coordination.
Audience: CFOs, CIOs, FinOps teams, AI program managers
Token Economics: The CFO's Guide to AI Infrastructure
The real cost model for enterprise AI — token budgets, model portfolio theory, and how to make intelligence economically sustainable.
Audience: AI researchers, product leaders, technical architects
Memory Systems for Human-AI Work
How AI systems maintain continuity of cognition across tools, sessions, and time — from episodic recall to compiled context.
Audience: Enterprise architects, technology strategists, conference audiences
The Autonomous Stack: What Enterprise AI Infrastructure Looks Like in 2027
From the data substrate nobody's building to agent operating systems to prescriptive intelligence that doesn't wait to be asked.
Audience: CISOs, compliance leaders, regulated industry executives
Private AI and Governed Intelligence at Scale
Architecture for regulated industries — security, compliance, and trust in enterprise AI without sacrificing capability.
Formats Available
What Audiences Can Expect
Frameworks, not buzzwords. Architecture, not abstractions. Research-backed insights delivered with the clarity of someone who has built these systems in production.
Sample Talk Titles
- Context Compilation: The Missing Layer in Enterprise AI
- Why Your SDLC Can't Govern Agentic Work
- The Stack That Thinks: Architecture for Autonomous Enterprise Systems
- From Retrieval to Reasoning: What RAG Got Wrong
- Token Economics: Making Enterprise AI Economically Sustainable
- The Agent-Native Enterprise: When AI Becomes a First-Class Participant
- 13 Metrics Your DORA Dashboard Is Missing
- Memory Systems: Why AI Keeps Forgetting and How to Fix It
Contact
Speaking inquiries
I take a small number of engagements each quarter so every talk is prepared with care. If the fit is right, I would welcome a conversation.