MLOps platform Seldon raises $20M Series B to improve the productions of AI models
But those biases and faults can have far-reaching effects when applied to areas like insurance platforms or drug discovery, where the implications of getting decisions wrong could be massive.MLOps (a mashup of machine learning and DevOps) is a set of practices that seeks to deploy and maintain machine learning models in production reliably and efficiently, and monitor those biases. Put simply, MLOps practices are used by data scientists, DevOps and machine learning engineers to transition an AI algorithm into every-day, working production models. Improving efficiency also has a positive environmental impact.Seldon is a U.K. startup that specializes in this rarified world of development tools to optimize machine learning models. Because projects stall, or theres duplication of efforts across business silos.Seldon claims it can help teams collaborate better to speed up the deployment time by an average of 84%. Seldon and its competitors are racing to help enterprises remain compliant with those regulations, but improve these AI models internally.The company has collaborated closely with Neil Lawrence, the inaugural DeepMind Professor of Machine Learning at the University of Cambridge.
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