Talks and slide decks from conferences.
A practitioner's walk through agentic AI — what makes a system an agent, how to analyze whether you need one, and how to design workflows, memory, tooling, evaluation, observability, safety, and security for agents in the enterprise.
How Lean and autonomous AI agents reinforce each other — adaptive standardization, digital Kaizen, and just-in-time intelligence — plus the benefits, risks, and roadmap for an AI-augmented Lean enterprise.
A whiteboard tour of the AI literacy product leaders need — from the shift to self-learning machines and the three learning paradigms, through how LLMs and hallucinations actually work, to RAG and fine-tuning trade-offs, prompt engineering, multimodal AI, and the move from chatbots to agents.
A tour through the agentic AI landscape — what agents and multi-agent systems are, how they reason from prompts, how to architect and govern them, and whether the future ahead is one designed by AI.
Deploying AI agents as virtual employees across the enterprise, and the governance, structure, and workforce changes that keep the productivity gains from turning into systemic risk.
Why deployed AI agents quietly decay, how the failure stays hidden, and the governance model that keeps them honest.
