Enterprise data infrastructure was messy long before generative AI entered the picture. Most large organizations have accumulated warehouses, catalogs, governance tools, transformation engines, orchestration platforms, and observability products, yet many still struggle to turn all that data into something the business can use quickly. AI has only widened the gap. Giving a model access to more data does not mean it understands what that data means, whether it can be trusted, or how it is …