@inproceedings{6c68e820a66d417a8f6396d37b6b30f4,
title = "Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform",
abstract = "Applying Machine Learning (ML) to business applications for automation usually faces difficulties when integrating diverse ML dependencies and services, mainly because of the lack of a common ML framework. In most cases, the ML models are developed for applications which are targeted for specific business domain use cases, leading to duplicated effort, and making reuse impossible. This paper presents Acumos, an open platform capable of packaging ML models into portable containerized microservices which can be easily shared via the platform's catalog, and can be integrated into various business applications. We present a case study of packaging sentiment analysis and classification ML models via the Acumos platform, permitting easy sharing with others. We demonstrate that the Acumos platform reduces the technical burden on application developers when applying machine learning models to their business applications. Furthermore, the platform allows the reuse of readily available ML microservices in various business domains.",
keywords = "Framework, Image processing, Machine learning, Miscroservice, Model sharing, Platform, Sentiment analysis",
author = "Shuai Zhao and Manoop Talasila and Guy Jacobson and Cristian Borcea and Aftab, {Syed Anwar} and Murray, {John F.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018 ; Conference date: 17-12-2018 Through 20-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ICMLA.2018.00135",
language = "English (US)",
series = "Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "841--846",
editor = "Wani, {M. Arif} and Mehmed Kantardzic and Moamar Sayed-Mouchaweh and Joao Gama and Edwin Lughofer",
booktitle = "Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018",
address = "United States",
}