Financial services · Databricks
First American Data & Analytics embraces the power of GenAI
Public case study · not a Metric Oak engagement
- Reduction in cost
- 70%
- Less time to complete the project
- 75%
- Increase
- 10x
What happened
The story in brief
A property data provider to the real-estate and title insurance industries had huge volumes of unstructured documents to classify and extract. It used large language models and vision models on Databricks to automate page classification and field extraction across more than a hundred data fields.
How it compares
- 70% reduction in cost, against a median reported cost reduction of 60% across 19 financial services results.
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Related insights
Frequently asked questions
What results did First American Data & Analytics report?
First American Data & Analytics reported 70% reduction in cost; 75% less time to complete the project; 10x increase, according to its customer story published by Databricks.
Which platform and technologies did First American Data & Analytics use?
First American Data & Analytics used Databricks, including Unity Catalog, Delta Lake, MLflow, Model Serving, Large language models.
How do these results compare with other financial services programs?
70% reduction in cost, against a median reported cost reduction of 60% across 19 financial services results.
Source
Customer story published by Databricks: First American Data & Analytics embraces the power of GenAI (opens databricks.com in a new tab) on databricks.com. Figures as published, retrieved 27 October 2026. The summary above is Metric Oak's own. This is not a Metric Oak engagement.
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