Independent thinking · Enterprise architecture · Data · Intelligence
Making complexity understandable.
Practical perspectives on architecture, data and intelligence for a more connected and resilient enterprise.
I work as a Principal Architect in Data and AI, exploring how business context, information and technology come together to create lasting value.
Four connected perspectives
Architecture
Make the right structural choices. Connect business intent to capabilities, processes, information and technology.
Master Data
Reliable business information is not a data problem alone. It is an operating model, process and accountability challenge.
AI & Intelligence
Turn enterprise knowledge into intelligence. Understand what AI changes, and why context and evidence still matter.
Perspectives
Practical thoughts on leadership, organisational change and the human realities behind transformation.
Latest thinking
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Rethinking Master Data Management for the Age of AI
AI is reshaping Master Data Management, from ontologies and data quality to intelligent agents and federated stewardship. The opportunity is…
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Five artefacts, one foundation: where glossary, ontology, model, dictionary and catalogue fit
A practical guide to the five metadata artefacts behind a coherent data foundation, clarifying their roles, ownership and feedback relationships…
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Why AI turns product data quality from a clean-up into a creation habit
One product record can get two verdicts on the same day. Purchasing reads description, base unit, supplier and lead time,…
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Mejillones con Chorizo
I cook mussels more than almost anything else, mostly because they ask so little of me. Twenty minutes, one pan,…
GULDMANN. ARCHITECTURE · DATA · INTELLIGENCE
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