Gretel on Azure

Gretel + Google Cloud

Power Enterprise AI solutions with synthetic data from Gretel in Databricks

Build custom AI models in Databricks trained on safe, secure data at scale.
The first step to Enterprise AI begins here:
Contact sales to learn more about using Gretel with Databricks
Key Benefits

Is your ML/AI roadmap blocked by data sharing limitations or a lack of data?

Gretel solves for the most common data bottlenecks in machine learning—such as insufficient volume and quality of safe training data. Gretel’s workflow connector with Databricks makes it simple for enterprises to customize models in the Databricks platform using safe, secure synthetic data.
Developers using Databricks for MLOps can use synthetic data to:
  • Augment your data with models that have been trained on billions of words.

  • Create synthetic versions of sensitive data with real world accuracy.

  • Meet privacy and data compliance requirements using synthetic data.

  • Generate customized scenarios for training models using conditional data generation.

  • Accelerate ML R&D and operationalization.

Seamless synthetic data workflow in Databricks


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