AI & Data / Cloud
How to Build an AI-Ready Data Platform
What teams should prepare before AI workflows can work reliably in production.
Why now
Data readiness is the bottleneck
Most AI programs stall on data access, lineage and quality rather than modelling.
What changes
Platform before models
A governed platform makes each subsequent model cheaper to ship and easier to trust.
Approach
Four moves that matter
01
Inventory the sources
Catalogue what exists before designing pipelines.
02
Fix identity and access
Governance first — retrofitting it is far costlier.
03
Land a semantic layer
Shared definitions stop every team recomputing metrics.
04
Instrument quality
Freshness and completeness checks as first-class citizens.
Stack
Typical building blocks
LakehousedbtAirflowGreat ExpectationsVector storeRBAC
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