AI Context Market Fragmented by Vendor Approaches

AI models without strong business context risk costly errors, prompting vendors to offer 'context' solutions. Approaches vary widely: semantic layers and ontologies from Qlik, Palantir, and others; retrieval-augmented generation for speed; infrastructure metadata from Dell and Everpure; and governance from Collibra and Informatica. Major platforms like Snowflake and Databricks hold an advantage by building knowledge graphs on stored data.