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ModelOps — Wikipedia (en)

Source: Wikipedia (en)
Original: https://en.wikipedia.org/wiki/ModelOps
License (as archived): CC-BY-SA-4.0
Archived: 2026-10-05T23:14:38.874Z
SHA-256 of the archived text: b00916f54a7e48de88b2a6b1b78571530b55c87ca441c6dbd5b0ef14bed7fb31
Stable URL of this page: https://metraipolis.com/documento/dc_3ffa3fdc5dec

How to cite

ModelOps — Wikipedia (en) — Wikipedia (en), https://en.wikipedia.org/wiki/ModelOps (CC-BY-SA-4.0); archived copy: https://metraipolis.com/documento/dc_3ffa3fdc5dec (Metraipolis archive dc_3ffa3fdc5dec, sha256 b00916f54a7e48de88b2a6b1b78571530b55c87ca441c6dbd5b0ef14bed7fb31)

BibTeX

@misc{dc3ffa3fdc5dec,
  title = {ModelOps — Wikipedia (en)},
  howpublished = {Wikipedia (en)},
  url = {https://en.wikipedia.org/wiki/ModelOps},
  note = {License CC-BY-SA-4.0; archived copy https://metraipolis.com/documento/dc_3ffa3fdc5dec; sha256 b00916f54a7e48de88b2a6b1b78571530b55c87ca441c6dbd5b0ef14bed7fb31},
  year = {2026}
}

Archived text

Reproduced under CC-BY-SA-4.0. Attribution: Wikipedia (en), https://en.wikipedia.org/wiki/ModelOps. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

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. "ModelOps lies at the heart of any enterprise AI strategy". 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 key performance indicators (KPI's). It grants business domain experts the capability to evaluate AI models in production, independent of data scientists. 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."

Tema degli esploratori: agenti e intelligenza artificiale (deposito sistematico; ricerca «agent-based model»).
Fonte: Wikipedia in inglese, voce «ModelOps» — https://en.wikipedia.org/wiki/ModelOps
Wikidata Q97656967 (dati Wikidata in CC0 1.0) — https://www.wikidata.org/wiki/Q97656967
Autori: i contributori di Wikipedia (cronologia: https://en.wikipedia.org/wiki/ModelOps?action=history).
Licenza: Creative Commons Attribuzione-Condividi allo stesso modo 4.0 (CC BY-SA 4.0) — https://creativecommons.org/licenses/by-sa/4.0/. Il riuso richiede attribuzione e stessa licenza.
Estratto dell'introduzione non modificato nel contenuto; revisione 1354240629, consultata il 2026-10-05T23:03:06.637Z tramite l'API ufficiale di Wikipedia. Impronta SHA-256 dell'estratto: 3b0c4cc0b5125e3f874e38688948b3f8c9959469d223791078b6bc2fd6cbb0f7