Operationalizing machine learning models

Author:

Kolltveit Ask Berstad1,Li Jingyue1

Affiliation:

1. Norwegian University of Science and Technology, Trondheim, Norway

Publisher

ACM

Reference54 articles.

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2. 2020. The state of AI in 2020 . https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/global-survey-the-state-of-ai-in-2020 2020. The state of AI in 2020. https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/global-survey-the-state-of-ai-in-2020

3. 2022. MLOps pipeline. https://ml-ops.org/content/mlops-principles. 2022. MLOps pipeline. https://ml-ops.org/content/mlops-principles.

4. Lucas Baier , Fabian Jöhren , and Stefan Seebacher . 2019 . Challenges in the deployment and operation of machine learning in practice . In ECIS 2019 - 27th European Conference on Information Systems. https://www.researchgate.net/publication/332996647_CHALLENGES_IN_THE_DEPLOYMENT_AND_OPERATION_OF_MACHINE_LEARNING_IN_PRACTICE Lucas Baier, Fabian Jöhren, and Stefan Seebacher. 2019. Challenges in the deployment and operation of machine learning in practice. In ECIS 2019 - 27th European Conference on Information Systems. https://www.researchgate.net/publication/332996647_CHALLENGES_IN_THE_DEPLOYMENT_AND_OPERATION_OF_MACHINE_LEARNING_IN_PRACTICE

5. TFX

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