How FactSet cut model training and deployment from days to hours with Databricks AI Runtime
Summary
FactSet cut the time required to set up, train, and deploy its Text-to-Formula models from days to hours by adopting Databricks AI Runtime. By leveraging serverless GPU compute directly alongside existing Lakehouse workflows, the team can now continuously retrain fine-tuned open models every two to three weeks to convert natural-language queries into FactSet Query Language formulas.
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