Companies Winning with AI Built the Data Layer First

Companies that have achieved success with AI implementations prioritized building a robust data foundation and infrastructure before deploying AI models. Databricks emphasizes that a well-constructed data layer—including data collection, quality, integration, and governance—is essential for effective AI applications. This approach contrasts with organizations that attempted to implement AI without first establishing proper data management systems, which typically resulted in limited success.

Source: Databricks | 2026-04-29