
The long-awaited shift from experimental artificial intelligence prototypes to hardened, enterprise-grade production systems is finally reaching a critical tipping point as organizations prioritize data reliability. While large language models have dominated the conversation for several years, the focus is now moving toward the underlying data infrastructure required to make these models reliable, secure, and accurate. This article examines the move










