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".[1] "ModelOps lies at the heart of any enterprise AI strategy".[2] It orchestrates the model lifecycles of all models in production across the entire enterprise, from putting a model into production, then evaluating and updating the resulting application according to a set of governance rules, including both technical and business KPI's. It grants business domain experts the capability to evaluate AI models in production, independent of data scientists.[3]
A Forbes article promoted ModelOps: "As enterprises scale up their AI initiatives to become a true Enterprise AI organization, having full operationalized analytics capability puts ModelOps in the center, connecting both DataOps and DevOps."[4]
^Brethenoux, Erick. "Gartner Glossary". Gartner. Retrieved 16 December 2020.
^Choudhary, Farhan. "Gartner Glossary". Gartner. Retrieved 6 August 2020.[dead link]
^Barot, Soyeb. "A Guidance Framework for Operationalizing Machine Learning". Gartner. Retrieved 6 August 2020.[dead link]
^Wu, Jun. "ModelOps Is The Key To Enterprise AI". Forbes. Retrieved 5 February 2021.
ModelOps (model operations or model operationalization), as defined by Gartner, "is focused primarily on the governance and lifecycle management of a...
subset of ModelOps. MLOps is focused on the operationalization of ML models, while ModelOps covers the operationalization of all types of AI models. MLOps...
DevOps is a methodology in the software development and IT industry. Used as a set of practices and tools, DevOps integrates and automates the work of...
DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods...
of the model. Managing an AutoAI model requires frequent monitoring and updating, managed by a process known as model operations or ModelOps. The Automated...
Azure DevOps Server, formerly known as Team Foundation Server (TFS) and Visual Studio Team System (VSTS), is a Microsoft product that provides version...
Web operations (WebOps) is a domain of expertise within IT systems management that involves the deployment, operation, maintenance, tuning, and repair...
OverOps is a software analytics company based in San Francisco, CA and Tel Aviv, Israel. The company develops a static and dynamic code analysis technology...
The SpecOps is a Pump action shotgun manufacture of Argentina, by Rexio. It was created taking into account the needs of law enforcement and military...
Joachim Opser (born c. 1548 in Wil; died 24 August 1594 in St. Gallen) was abbot of the Abbey of Saint Gall from 1577 until 1594. Joachim's father Michael...
they are especially useful to production-oriented DevOps and operations constituents that value models versus scripting for content. As the field continues...
used in the agile process model (see agile modeling).: Section 2.3.3 The Incremental model can be applied to DevOps. DevOps centers around the idea of...
model and host known for his portrayal of Viren Singh Vadhera in Star Plus's Ek Hazaaron Mein Meri Behna Hai and Farooq Ali in Hotstar's Special OPS....
Ballistic Garanti Kompozit Ballistic Protective Helmet (ACH HIGH-CUT MODEL) Ops-Core FAST XP High Cut (For former RRT members) Noise-cancelling headphones...
Global Information