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

In Mina Farmanbar, Maria Tzamtzi, Ajit Kumar Verma & Antorweep Chakravorty (eds.), Frontiers of Artificial Intelligence, Ethics, and Multidisciplinary Applications: 1st International Conference on Frontiers of AI, Ethics, and Multidisciplinary Applications (FAIEMA), Greece, 2023. Springer Nature Singapore. pp. 51-58 (2024)
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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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