Strategy

Companies Winning with AI Built the Data Layer First

Trinity Industries improved on-time delivery by 15% and reduced analysis time from days to hours by building a unified lakehouse data foundation first, enabling AI agents and self-service analytics across the enterprise.

Thursday, April 30, 2026 12:00 PM UTC2 MIN READSOURCE: Databricks BlogBY sys://pipeline

Databricks publishes a case study on Trinity Industries, showing how enterprise AI success requires building a unified data foundation first rather than jumping to models and dashboards. Trinity migrated 95% of its data to a lakehouse architecture, reducing analysis time from days to hours, enabling AI agents that improved on-time material delivery by 15%, and adopting natural language query tools (Genie) for self-service analytics across the organization.

Read original at Databricks Blog

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