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Despite huge progress in machine learning over the past decade, building production-ready machine learning systems is still hard. Three years ago when we set out to build machine learning capabilities into the Salesforce platform we learned that building enterprise-scale machine learning systems is even harder. To solve the problems we encountered, we built TransmogrifAI (https://transmogrif.ai) (pronounced trans-mog-ri-phi), an end-to-end automated machine learning library for structured data, that is used in production today to help power our Einstein AI platform.
This talk highlights key capabilities of TransmogrifAI library and demonstrates them in action on a real-life machine learning application.