Applying a data ontology framework to AI moat investing — why FactSet, Veeva, Roper, and SPGI may be mispriced relative to Snowflake/Databricks. Methodology and open question on durability inside.
Background: I've spent twenty years doing data ontology work professionally — building the semantic structures that turn raw, ungoverned data into something usable, most recently at SurveyMonkey. On the side I've built a personal screener pulling 16 years of SEC …