Why modern data platforms fail at scale and how Snowflake-native engineering enables reliable, governed, AI-ready data foundations.

As enterprises move from experimenting with generative AI to embedding it into everyday workflows, one question keeps surfacing, how do you make large language models reliable, governed, and scalable? The answer lies in LLMOps, a discipline that blends data engineering, model lifecycle management, and operations into one framework for enterprise-grade AI.