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According to Ashley Kramer, Alteryx's VP of Product Management, Promote will address this gap by allowing deployment of models, and generation of REST APIs around them, all of which can be invoked ...
Iterative has launched Machine Learning Engineering Management an open source model deployment and registry tool.
From data collection, cleaning, and analysis - the amount of work required to prepare data for an machine learning model is very extensive ...
ParallelM, a provider of machine learning operationalization (MLOps) software, has released a new version of MCenter that includes REST-based serving using Kubernetes to create a no-code, autoscaling ...
The 1.3 release of MCenter specifically addresses the deployment challenges of machine learning for real-time, production applications.
I believe an approach to machine learning deployment that’s based on an industry standard, language-agnostic, and able to represent a broad range of algorithms is the clear path forward.
Accelerate the process of machine learning model development, evaluation, and deployment Help improve overall performance, accuracy, and efficiency of machine learning models ...