Engineered for seamless integration with Radius Method’s Crystal Tower, Crystal Grid accelerates the operationalization of Artificial Intelligence (AI) and Machine Learning (ML) models in DevSecOps environments. Version control is at the core of the Data Factory—allowing teams to track changes, revert datasets to previous states, and manage branches for experimental research. Like modern DevSecOps approaches, treating datasets with the same rigor as source code, the Data Factory delivers a more structured and reliable approach to machine learning model development. Key features also include automated ETL pipelines, robust collaboration tools, and API-driven interaction models.

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