I’m an enterprise AI leader i Canada focused on orchestrating value through institutionalized governance and adoption. I standardize how AI is evaluated, deployed, and measured so organizations realize material cost improvements, revenue impact, and reliability gains-with responsible guardrails. I lead portfolio-level adoption (AIOps/MLOps, LLMOps, observability, evaluation gates, human-in-the-loop) and embed repeatable frameworks. My background spans telecom/media and enterprise technology across multi-shore delivery, with an emphasis on scaling value beyond one-off pilots.
Vera Rubin: The Infrastructure Question Worth Asking
TL;DR NVIDIA’s Vera Rubin architecture offers up to 10x inference cost reduction vs. Blackwell for large-scale AI workloads (Source: NVIDIA CES 2026 keynote) This changes the build vs. cloud calculus for agentic AI systems Q1 2026 action required: Budget conversations, vendor evaluations, governance alignment Headwinds: Power constraints (120kW+ for leading-edge racks), 18-24 month procurement cycles, […]
Shadow AI: The Governance Signal You’re Ignoring
When 44% of workers admit to unauthorized AI use, the message isn’t sabotage > it’s demand. Something curious is happening in enterprises across North America and Europe. While IT governance committees debate AI policies and legal teams craft acceptable-use frameworks, employees are quietly solving their own problems. They’re paying $20 a month out of pocket. […]
Philosophy Becoming Engineering: The BCI Inflection Point
Executive Summary: The 5 Insights That Matter Before diving deep, here is what enterprise leaders and frontier researchers need to understand about the brain-computer interface revolution unfolding in 2025-2026: # Insight Why It Matters 1 The bandwidth barrier is falling. Neuralink achieved 9.51 bits per second in late 2025. Paradromics demonstrated 200+ bps information transfer […]
AI Governance Theater: When Policies Exist But Nothing Actually Changes
There’s a pattern I see repeatedly. A company shows me their AI governance framework. Glossy presentation. Ethical principles. Risk assessment templates. A committee that meets quarterly. Then I ask three questions: When was the last time this framework stopped an AI deployment? Who has the authority to kill a model in production? What happened the […]
Leveraging AI Technology: Transforming Telecom Operators for the Future
In the dynamic landscape of telecommunications, operators face numerous challenges, including increased customer demands, network complexity, and operational efficiency. Artificial Intelligence (AI) technology offers promising solutions to address these challenges and unlock new opportunities. By harnessing the power of AI, telecom operators can enhance network performance, optimize operations, deliver personalized customer experiences, and drive innovation. […]