Data Democratization Through AI-Accessible Data Products
Only 7% of enterprises have data truly ready for AI, explaining why most projects fail.
Farah Serrano
Section
6 stories in Data Products.
Only 7% of enterprises have data truly ready for AI, explaining why most projects fail.
Internal data marketplaces built for humans fail when machines become primary consumers.
Databricks surges while Redshift fades as teams embrace multi-warehouse architectures.
Organizations rush data mesh deployments by treating culture change like a software rollout.
Data quality and architecture decide whether AI projects reach production, not model choice.
Data products combine data, metadata, code, and infrastructure into reusable governed assets.