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You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses ...
This is an accepted version of this page This is the latest accepted revision, reviewed on 5 January 2025. Set of software development practices DevOps is a methodology integrating and automating the work of software development (Dev) and information technology operations (Ops). It serves as a means for improving and shortening the systems development life cycle. DevOps is complementary to ...
World map showing part of it in the day and part at night; follow-the-sun workflow allows for continuous software work. Follow-the-sun (FTS), a sub-field of globally distributed software engineering (GDSE), is a type of global knowledge workflow designed in order to reduce the time to market, in which the knowledge product is owned and advanced by a production site in one time zone and handed ...
The quattor information model is based on the distinction between the desired state and the actual state. The desired state is registered in a fabric-wide configuration database, using a specially designed configuration language called Pan for expressing and validating configurations, composed out of reusable hierarchical building blocks called ...
MLOps is the set of practices at the intersection of Machine Learning, DevOps and Data Engineering. MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software ...
ModelOps (model operations or model operationalization), as defined by Gartner, "is focused primarily on the governance and lifecycle management of a wide range of operationalized artificial intelligence (AI) and decision models, including machine learning, knowledge graphs, rules, optimization, linguistic and agent-based models" in Multi-Agent Systems. [1] "
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