From Data Readiness to a Context Plan
Explore how to develop a context plan that translates KPIs and non-functional requirements into an approved data source inventory. Learn to specify ownership, sensitivity tiers, freshness targets, and acceptance criteria to ensure data readiness and secure retrieval. Understand how to handle remediation, runtime constraints, and go/no-go decisions to maintain compliance and auditability in enterprise AI systems.
The architectural decision in scope is a context plan: a document that translates key performance indicators (KPIs) and non-functional requirements (NFRs) into a defined set of candidate data sources. For each source, it specifies an owner, sensitivity tier, freshness target, ...