Machine Learning Operations — What is it and Why Do We Need It?
Kühl, Niklas
1,2
1 Karlsruhe Service Research Institute (KSRI), Karlsruher Institut für Technologie (KIT)
2 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)
1,21 Karlsruhe Service Research Institute (KSRI), Karlsruher Institut für Technologie (KIT)
2 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)
Abstract (englisch):
The final goal of all industrial machine learning (ML) projects is to develop ML products and rapidly bring them into production.
However, it is highly challenging to automate and operationalize ML products and thus many ML endeavors fail to deliver on their expectations. The paradigm of Machine Learning Operations (MLOps) addresses this issue.
However, it is highly challenging to automate and operationalize ML products and thus many ML endeavors fail to deliver on their expectations. The paradigm of Machine Learning Operations (MLOps) addresses this issue.
| Zugehörige Institution(en) am KIT | Institut für Wirtschaftsinformatik und Marketing (IISM) Karlsruhe Service Research Institute (KSRI) |
| Publikationstyp | Audio & Video |
| Publikationsdatum | 20.12.2022 |
| Erstellungsdatum | 08.11.2022 |
| Sprache | Englisch |
| Identifikator | KITopen-ID: 1000154297 |
| URL | https://www.youtube.com/watch?v=FgaKl5XsuMc |