Speaking
Conference talks, technical workshops, panel discussions, and podcasts on operations research, combinatorial solvers, and agentic AI systems in production.
From Collision to Clarity
“Effective agentic AI is not simply a model-selection exercise; business value depends on context engineering, orchestration, governed data access, task-appropriate models, explainability, and deliberate human control.”
Think Deeper with Claude
“Frontier reasoning models like Claude coupled with enterprise conversational surfaces like Microsoft Copilot Studio turn open-ended feedback into auditable, governed multi-agent business decisions.”
Taming the "Verbatim" Chaos
“Standard sentiment APIs fail on real text by collapsing nuance into mixed scores; production pipelines must decompose verbatims into aspect-level sentiment tuples mapped to routable business objectives.”
People and AI
“Workforce anxiety about AI is aimed at the wrong variable. Capability isn't the bottleneck — orchestration is: knowing which of the three tiers a problem belongs to, and keeping human judgment as the guardrail across all of them. For Canadian scaleups, that orchestration question is inseparable from a sovereignty question.”
Industrial Scale Agentic AI in Hospitality and Restaurant Analytics
“Business intelligence tells a restaurant operator what happened last quarter. It cannot tell them that service complaints cluster on Friday closing shifts at three specific locations. Closing that gap takes LLMs reading reviews at the attribute level — and agents that turn the finding into a task for a shift manager and a reply to the guest who wrote it.”
Connected Intelligence
“A low-code agent is easy to build and easy to make useless. What separates a demo from something deployable is everything outside the agent designer — the grounding that makes answers true, the automation that lets it act, and the Dataverse permissions that decide what it is allowed to see.”