Runtime Data Access vs Static Pipeline Delivery
Stale batch data silently corrupts agent decisions in ways human analysts can sense-check.
Knowledge graphs enable AI systems to retrieve factual answers instead of approximations.
Stale batch data silently corrupts agent decisions in ways human analysts can sense-check.
Federated governance lets organizations prepare data for AI without lengthy, risky migrations.
A governed schema object that makes data meaning consistent for analysts and AI agents alike.
One definition of revenue stops analysts from reporting conflicting numbers across tools.
AI agents need catalogs built for machine reasoning, not human browsing.
Sensitivity emerges when AI agents combine fields, not from individual data labels alone.
Semantic layers give agents the business context raw schemas cannot provide.
Five conditions must hold simultaneously for data to genuinely support AI.
Data products combine data, metadata, code, and infrastructure into reusable governed assets.
Agents need fresher data than analysts because they act without human judgment to catch staleness.