Frank La Vigne

Technical Product Marketing | AI Infrastructure | Enterprise AI Platforms | Executive Briefings | Technical GTM | RAG / MLOps

ClearMLex-Microsoftex-DataLeader

“

I work at the intersection of AI infrastructure and the people who need to understand, buy, deploy, and scale it.

More

My background spans technical product marketing, technical evangelism, enterprise architecture, and AI platform go-to-market across Red Hat, Microsoft, startups, and enterprise consulting. I specialize in translating complex technical systems into narratives that actually hold up, whether the audience is architects, developers, sellers, partners, or executive decision-makers. That means creating: solution briefs technical whitepapers product narratives and positioning sales and partner enablement executive briefings technical demos workshops webinars hands-on technical content Today at Red Hat, I help shape the technical go-to-market story for enterprise AI platforms, working directly with customers, product teams, engineering, partners, and field sellers. I stay hands-on with the technology because technical credibility matters. That includes active work with LLMs, RAG architectures, agentic workflows, synthetic data, model evaluation, Kubernetes-based AI platforms, and hybrid enterprise AI deployment models. I regularly support enterprise AI customer engagements, executive briefings, technical workshops, and partner enablement, helping organizations move from curiosity and experimentation toward real evaluation, adoption, and production deployment. Before Red Hat, I worked across Microsoft, startups, and consulting, helping organizations adopt cloud, AI, and data platforms. In many of those roles, I served as the technical translator between engineering depth and executive decision-making. Outside of work, I host the Data Driven podcast, build hands-on AI workshop environments, and spend a probably unreasonable amount of time experimenting with emerging AI systems. If your challenge is making complex technical platforms understandable, credible, and actionable, we should talk.