Machine learning operations can revolutionize cybersecurity

Machine learning operations (MLOps) refers to the practices and tools employed to streamline the deployment, management and monitoring of machine learning models in production environments. While MLOps is commonly associated with data science and machine learning workflows, its integration with cybersecurity brings new capabilities to detect and respond to threats in real-time. It involves streamlining […]

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WhyLabs brings more transparancy to ML ops

WhyLabs, a new machine learning startup that was spun out of the Allen Institute, is coming out of stealth today. Founded by a group of former Amazon machine learning engineers, Alessya Visnjic, Sam Gracie and Andy Dang, together with Madrona Venture Group principal Maria Karaivanova, WhyLabs’ focus is on ML operations after models have been […] Continue reading WhyLabs brings more transparancy to ML ops

Enterprise companies find MLOps critical for reliability and performance

Machine learning ops focuses on the ML model and datasets, as opposed to code. Data engineers run MLOps, but it’s likely that the specialized role of MLOps engineer will come about soon. Continue reading Enterprise companies find MLOps critical for reliability and performance