AI Marketplace: Serving Environment for AI Solutions Using Kubernetes

Marc Riedlinger, Ruslan Bernijazov, Fabian Hanke

2023

Abstract

Recent advances in the field of artificial intelligence (AI) provide numerous potentials for industrial compa- nies. However, the adoption of AI in practice is still left behind. One of the main reasons is a lack of knowledge about possible AI application areas by industry experts. The AI Marketplace addresses this problem by pro- viding a platform for the cooperation between industry experts and AI developers. An essential function of this platform is a serving environment that allows AI developers to present their solution to industry experts. The solutions are packaged in a uniform way and made accessible to all platform members via the serving environment. In this paper, we present the conceptual design of this environment, its implementation using Amazon Web Services, and illustrate its application on two exemplary use cases.

Paper Citation

in Harvard Style

Riedlinger M., Bernijazov R. and Hanke F. (2023). AI Marketplace: Serving Environment for AI Solutions Using Kubernetes. In Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-650-7, SciTePress, pages 269-276. DOI: 10.5220/0011980800003488

in Bibtex Style

@conference{closer23,
author={Marc Riedlinger and Ruslan Bernijazov and Fabian Hanke},
title={AI Marketplace: Serving Environment for AI Solutions Using Kubernetes},
booktitle={Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2023},
pages={269-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011980800003488},
isbn={978-989-758-650-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - AI Marketplace: Serving Environment for AI Solutions Using Kubernetes
SN - 978-989-758-650-7
AU - Riedlinger M.
AU - Bernijazov R.
AU - Hanke F.
PY - 2023
SP - 269
EP - 276
DO - 10.5220/0011980800003488
PB - SciTePress