Many legacy data systems weren’t designed to handle the demands of modern AI workloads. AI models, intelligent agents and automation pipelines demand fast, reliable, explainable and well-integrated access to data. Organizations that succeed in this environment are the ones that organize and manage their data intentionally, instead of just storing it passively. In short, they treat their data like a product.
They name it, version it, document it, assign ownership and align it to business outcomes. They make it discoverable through a…
