Speaking & Media
Talks, panels, and papers
Where Felipe has spoken and written publicly on enterprise architecture, AI, and data strategy.
Speaking history
- Talk Upcoming Nov 26, 2026
The Future of Enterprise Architecture: Predictive Modeling and Strategic Foresight
Global Enterprise & Data Architecture Conference 2026 · Amsterdam
Day 1 session, 26 November 2026, 16:00 CET. Key takeaways:
- Treating architecture decisions as traceable enterprise assets connected to capabilities, risks, and investment priorities.
- Evolving portfolio management into decision intelligence through scenario planning and blast-radius analysis.
- Measuring EA value through business-relevant outcomes like faster decision cycles, technical debt reduction, and improved modernization planning.
26 November 2026 · 16:00 CET · Day 1 · Amsterdam
Felipe Tavares
Sr. Principal Architect
The Future of Enterprise Architecture: Predictive Modeling and Strategic Foresight
For two decades enterprise architecture got good at describing what exists. The question the business actually pays for is different: what happens if we change this? This session is my answer. Architecture decisions become traceable assets, the portfolio becomes something you can simulate, and AI augmentation is what finally makes both practical at enterprise scale.
What we'll get into
Decisions as a living graph
LLMs capture and link architecture decisions from ADRs, meeting notes, and decks, connected to the capabilities, risks, and investments they touch — kept current by machines instead of by discipline.
Blast radius, simulated
Once the architecture is a model, agents run the what-ifs: which capabilities a change touches, what it costs, which teams feel it first. Scenario planning becomes a query you run before committing.
A copilot over the EA repository
Executives ask "what depends on this platform?" in plain language and get an answer grounded in the model. The fastest decision cycle is the one that skips the slide deck.
Tech debt you can measure
Debt signals mined continuously from repos, pipelines, and incidents feed modernization planning with evidence — a number the business already respects.
What you'll leave with
- A way to treat every architecture decision as an asset with lineage: who made it, what it touches, what it costs to reverse.
- A working mental model for decision intelligence, with scenario planning and blast-radius analysis as routine practice and AI doing the heavy lifting.
- Metrics that survive a CFO conversation: decision cycle time, debt paid down, modernization plans backed by evidence.
Who this is for
Enterprise and domain architects moving from inventory to foresight CIOs, CTOs, and portfolio leaders deciding where modernization money goes Data and platform leaders whose systems the scenarios will run on Anyone measured on how fast their organization decides
Invite me to speak
Organizing a conference, panel, podcast, or internal event on enterprise architecture, AI, or data strategy? Reach out.
Invite me to speak