ECLAIR: An artificial intelligence research and experimentation workstation (original) (raw)

2021 Fifth World Conference on Smart Trends in Systems Security and Sustainability (WorldS4)

Abstract

Keeping a rigorous focus on the lifecycle and evolution of data mining can prove difficult, especially when dealing with devising a new machine learning mechanism or process. Access to the appropriate tooling and experimentation resources is instrumental for researchers operating in this domain. As data scientists, we all probably spent hours customizing a working environment at least once. We recognized that the tools, utilities, and techniques are more or so the same. Therefore, maintaining a custom environment while keeping all the software up-to-date can be a monotonous chore. This paper presents our take on developing a community workstation with artificial intelligence in mind. Dubbed ECLAIR, the framework includes a full portable laboratory for all kinds of data science processes, from data collection to analysis and insights delivery. With this distribution, end-users can apply statistical modeling to investigate and exploit various datasets. It also embeds everything needed by a developer to write his software for experimentation.

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