What it actually takes to move a real organization — not a case study — from legacy data systems to an AI-ready foundation.
Plenty of speakers will tell you AI is coming. Few will tell you what's sitting between your organization and being ready for it: undocumented systems, technical debt nobody scoped, and the internal politics that kill more transformation projects than any technology ever did.
This talk is built from the inside of that work — multi-million row data pipelines, legacy systems quietly running critical operations, and what it took to move them forward without breaking what already worked.
A narrative-driven session on the realities of legacy-to-AI-ready transformation — built for leadership audiences who need the "why" before the "how."
A working session for data and IT teams ready to start mapping their own environment, with practical frameworks they can apply immediately.
Conversational format for conferences and industry events — happy to go deep on technical debt, AI readiness, or the politics of internal buy-in.
Data and technology leadership audiences — CIOs, CTOs, heads of data, and the teams reporting to them — especially in industries like financial services, investment management, and fund accounting, where data accuracy isn't optional and legacy systems run deep.