Sameness and similarity
Two records can look alike without referring to one thing. The small distinction that makes matching systems safer.
Hey there. If you're meeting my curated digital self, well, nice to meet you. I hope to meet you properly someday.
A simple rundown. I'm interested in, and actively working on, representations, information quality, and the data engineering underneath it. Entity resolution, NER, classification, and digital identity: decentralised, self-sovereign, and the question of who decides your data is yours. In more marketable terms: record linkage, knowledge graphs, semantic layers, and intelligence.
Lately that means AI agents, and whether one understands what it is acting on, and knows when to refuse. That's me.
Data for the Rest of Us is out. Order a copy.
Two records can look alike without referring to one thing. The small distinction that makes matching systems safer.
The human role is not to beat the machine at recall, calculation, or producing a first draft.
Place is the bridge for anything that has to arrive. Space, place, and the two ways of giving somewhere an identity.
A new site, two months of silence, and why I decided to lean in rather than out
what does responsible AI-assisted engineering actually look like