Open-source solutions for automatic ML model containerization

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Recently announced, the Open Model Interface (OMI) and chassis.ml open source projects, provide a standard, interoperable, secure framework for containerizing AI models. OMI provides a standard specification to containerize machine learning models. Chassis.ml converts models from multiple training tools and frameworks into OMI compatible containers to run anywhere. By implementing OMI and chassis.ml, data scientists and developers gain a standard container specification allowing interoperability, portability, and security for models to seamlessly be integrated into production applications.