Leadership now expects answers, not just documentation: Which applications should we retire? What’s the real cost and risk of this transformation? Where can AI accelerate us, and where isn’t the foundation ready?
The session will explore EA based on three pillars:
- Data-driven decision-making. Live, connected architecture data becomes the basis for rationalisation, investment prioritisation, and risk management.
- Democratised access. When business stakeholders can explore dependencies, costs, and capabilities through intuitive interfaces, EA becomes a shared organisational language.
- AI as an accelerator. With sound data foundations, AI transforms access to architectural knowledge through natural language queries, automated impact analysis, and intelligent scenario planning.
Why attend
- Exchange perspectives with EA leaders in a focused, honest conversation
- See modern EA in practice with Ardoq—connecting live data, surfacing insights, and democratising architectural knowledge
- Take away practical approaches for application rationalisation, AI-ready architecture, and making EA valuable to decision-makers
- Network over breakfast in a format designed for meaningful conversation