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A Systematic Literature Review of MLOps Adoption in Software Development Companies: Attributes, Maturity, Benefits and Challenges
Arteaga, Esteban ; Pardo, Cesar ; Suescun, Elizabeth ; et al.
2025 IEEE VIII Congreso Internacional en Inteligencia Ambiental, Ingenieria de Software y Salud Electronica y Movil (AmITIC) Inteligencia Ambiental, Ingenieria de Software y Salud Electronica y Movil (AmITIC), 2025 IEEE VIII Congreso Internacional en. :1-8 Sep, 2025
An Architecture of a Web Application for Deploying Machine Learning Models in Healthcare Domain
Ursan, Mihai-Eronim-Octavian ; Caleanu, Catalin Daniel ; Bucos, Marian
2024 International Symposium on Electronics and Telecommunications (ISETC) Electronics and Telecommunications (ISETC), 2024 International Symposium on. :1-6 Nov, 2024
Streamlining AI Application: MLOps Best Practices and Platform Automation Illustrated through an Advanced RAG based Chatbot
Singh Kabbay, Harcharan
2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS) Sustainable Computing and Smart Systems (ICSCSS), 2024 2nd International Conference on. :1304-1313 Jul, 2024
Enabling Big Data and Machine Learning Applications in High-Stakes Environments
Dahdal, Simon ; Tortonesi, Mauro
NOMS 2024-2024 IEEE Network Operations and Management Symposium Network Operations and Management Symposium, NOMS 2024-2024 IEEE. :1-4 May, 2024
A Machine Learning Operations Platform for Streamlined Model Serving in Industry 5.0
Colombi, Lorenzo ; Gilli, Alessandro ; Dahdal, Simon ; et al.
NOMS 2024-2024 IEEE Network Operations and Management Symposium Network Operations and Management Symposium, NOMS 2024-2024 IEEE. :1-6 May, 2024
Seamless Transition From Machine Learning on the Cloud to Industrial Edge Devices With Thinger.io
Bustamante, A.L. ; Patricio, M.A. ; Berlanga, A. ; et al.
IEEE Internet of Things Journal IEEE Internet Things J. Internet of Things Journal, IEEE. 10(18):16548-16563 Sep, 2023
Scientific software development in the AI era: reproducibility, MLOps, and applications in soft matter physics
Nikolaos Cheimarios
Frontiers in Physics, Vol 13 (2025)
Jenkins Pipelines: A Novel Approach to Machine Learning Operations (MLOps)
R, Niranjan D ; Mohana
2022 International Conference on Edge Computing and Applications (ICECAA) Edge Computing and Applications (ICECAA), 2022 International Conference on. :1292-1297 Oct, 2022
Brain Tumor Detection using MLops and Hybrid Multi-Cloud
Jain, Archit ; Malviya, Adarsh ; Bajaj, Disha ; et al.
2022 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS) Blockchain and Distributed Systems Security (ICBDS), 2022 IEEE International Conference on. :1-6 Sep, 2022
Scalable earthquake magnitude prediction using spatio-temporal data and model versioning
Rahul Singh ; Bholanath Roy
Scientific Reports, Vol 15, Iss 1, Pp 1-21 (2025)
A Kanban-based Approach to Manage Machine Learning Projects in Manufacturing
Schreier, Ulf ; Reimann, Peter ; Mitschang, Bernhard
In Procedia CIRP 2025 134:109-114
An analysis of the challenges in the adoption of MLOps
Amrit, Chintan ; Narayanappa, Ashwini Kolar
In Journal of Innovation & Knowledge January-February 2025 10(1)
A Systematic Literature Review on Machine Learning in Healthcare Prediction
Ahmad Sukri, Nur Farah Afifah ; Wan Hamzah, Wan Mohd Amir Fazamin ; Yusof, Mohd Kamir ; et al.
International Journal of Online and Biomedical Engineering (iJOE); Vol. 21 No. 06 (2025); pp. 155-177 ; 2626-8493
Riding a bicycle while building its wheels: the process of machine learning-based capability development and IT-business alignment practices
Mucha, Tomasz ; Ma, Sijia ; Abhari, Kaveh
Internet Research, 2023, Vol. 33, Issue 7, pp. 168-205.
Dynamic Topic Modelling of Online Discussions on the Russian War in Ukraine
Taras Ustyianovych ; Nadiia Kasianchuk ; Halina Falfushynska ; et al.
Proceedings of the International Conference on Applied Innovations in IT, Vol 11, Iss 2, Pp 81-90 (2023)
Automated visual inspection of manufactured parts using deep convolutional neural networks and transfer learning
Weiher, Karsten ; Rieck, Sebastian ; Pankrath, Hannes ; et al.
In Procedia CIRP 2023 120:858-863
Machine Learning Operations (MLOps) and DevOps Integration with Artificial Intelligence: Techniques for Automated Model Deployment and Management
Tatineni, Sumanth ; Chinamanagonda, Sandeep
Journal of Artificial Intelligence Research; Vol. 2 No. 1 (2022): Journal of Artificial Intelligence Research; 47-81 ; 2583-7435
Desarrollo de T?cnicas de Machine Learning Operations (MLOPS)
G?mez Marcos, Ana ; Gonz?lez Arrieta, Mar?a Ang?lica ; L?pez Gonz?lez, Roberto
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