Mar 1, 2022Distributed Machine Learning DevelopmentExecutive Summary Distributed Machine Learning (ML) development is based on collaborative and structured development activities across different stakeholders. This development method stands in contrast to regular, centralized ML development practices where data scientists cover major parts of the ML life cycle themselves. There are major gains of Distributed ML Development practices, such…Machine Learning5 min readMachine Learning5 min read
Jan 21, 2021Global MLOps and ML tools landscape — v1.0 (January 2021)Executive Summary The term MLOps is — for anyone in the Artificial Intelligence field — the one magic word to solve them all. It combines all Machine Learning relevant tasks, from managing, processing, and visualizing data, running and tracking experiments to putting the creating models into production, ideally at scale, compliantly and…Machine Learning15 min readMachine Learning15 min read
Oct 21, 2020What´s important in data science?The field of data science has acquired an enormous attention in the past few years. Many new tools and services are appearing that offer data scientists and ML practitioners new ways of transforming their way of work. As part of our own product development effort, we wanted to know understand…Machine Learning3 min readMachine Learning3 min read
