Inproceedings,

KEENsight: Cloud based Collaborative Environment for Streamlining Machine Learning Development

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The Fifteenth International Conference on Information, Intelligence, Systems and Applications, Crete, Greece, (June 2024)

Abstract

Machine learning has transitioned from an individ- ualistic approach to a collaborative one, enabling the collective effort to address increasingly complex challenges as they arise. One challenge that emerges is the management of a collaborative development process in machine learning projects. This paper outlines a collaborative environment KEENsight that leverages the benefits of a collaborative approach by orchestrating various open source tools. It establishes an optimal setting for code collaboration, model generation, data sharing, and the utilization of computational resources not limited to a single location. Through the integrating of these tools, KEENsight aims to streamline the development process and enhance productivity in machine learning.

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