Comment by abakker

I'm working on designing a survey to help assess the degree to which enterprise tech buyers believe that they need to invest in improving data access, metadata management, architecture, storage, and integration as a necessary prerequisite to getting value out of AI investments.

The backstory is that AI investments are proceeding, but companies seem to be struggling to get things into production, so the ROIs are beginning to slip. Where I have first party knowledge, there is a (small sample size) trend of businesses kicking off significant data modernization processes.

Most interesting to me, is that organizations finally seem to be figuring out that it is worth managing "information" for the business and "data" in their applications as separate work streams, and seem to be acting on separating those responsibilities.