Why Waiting for Ready Data Is Riskier Than Starting AI Now
Snowflake, Thursday, October 29th, 2026
Snowflake argues enterprises should start AI now instead of waiting for a finished data estate; 97% run AI initiatives but only 5% have ready data.
The author says 'finished' data transformation never arrives, and waiting delays value that could be proven today.
Across global enterprises 97% run active AI initiatives, but only 5% say their data is ready.
The advice to fix data first dates from on-premises silos with proprietary formats, where analytics required physically centralizing data, and hardened into a rigid rule.
Snowflake's new ebook 'Break the Sequence' examines this belief as the biggest brake on enterprise AI and argues that leading organizations treat the readiness gap as a starting point.