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The Machine Learning Pod (MLPod™) Canvas: An End-To-End Methodology to Design, Build, and Deploy ML Applications

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Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications (FAIEMA 2023)

Abstract

A methodology is introduced to assist the development of a product based on the Machine Learning technology. Augmenting the concept of the Business Model Canvas we propose a similar concept, named MLPod™ Canvas, that takes into consideration both technical and business requirements and assists the core product development team to clearly identify the tasks and the requirements for delivering a functional and compliant product. Hints regarding the completion of the canvas are also provided along with explanations about the purpose of each canvas’ individual block.

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Correspondence to Demetrios P. Gerogiannis .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Gerogiannis, D.P., Sotiriadis, P.P., Nikou, C. (2024). The Machine Learning Pod (MLPod™) Canvas: An End-To-End Methodology to Design, Build, and Deploy ML Applications. In: Farmanbar, M., Tzamtzi, M., Verma, A.K., Chakravorty, A. (eds) Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications. FAIEMA 2023. Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications. Springer, Singapore. https://doi.org/10.1007/978-981-99-9836-4_5

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