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Every vendor in this category now calls some part of its product a "context layer" or an "ontology." The word has stopped telling buyers anything, because each vendor defines it, grades itself against...
Governing enterprise data has historically meant knowing what data you had, who owned it, and what it was allowed to do. Now, the same challenges apply to the AI reading that data. Every LLM, MCP serv...
AI systems get smarter when they can learn from corrections. When a user notices that an agent got something wrong and explains why, that correction should benefit everyone who asks a similar question...
AI for code worked because code already lived inside a designed context system. Files had structure, dependencies were explicit, version history was captured. The software developer was the first pers...
What if access to certified, trustworthy data never blocked the work that depends on it? The data marketplace pain is finding the right, trusted data. Metadata is fragmented across tools: definitions ...
Here is a situation most data engineers have been in. A pipeline breaks, the error traces to a column transformation, and the business rule that governs that column lives in a Confluence page from two...
