Closing the Loop: Rapid prototyping for data science and AI products

Closing the Loop: Rapid prototyping for data science and AI products | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 7 July 2025 V1 Latest version Share on Closing the Loop: Rapid prototyping for data science and AI products Authors : Boyan Angelov 0000-0001-5068-4234 [email protected] and Sina Niedermaier Authors Info & Affiliations https://doi.org/10.22541/au.175191573.31040375/v1 283 views 165 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract It is often expensive to design and deliver products involving data science. The main reasons are that they are notoriously difficult to scope, estimate, and scale and can struggle to prove their generated impact quantitatively. We need new methods to alleviate these issues. We have drawn inspiration from existing frameworks in agile, lean, and design thinking to create a new method-"closing the loop". It effectively limits the scope to a single, shortest possible, end-to-end value stream, attached to a measurable outcome to the first version before iterating further (i.e., adding new data sources or features) once we prove value delivery. Supplementary Material File (closing_the_loop.pdf) Download 2.14 MB Information & Authors Information Version history V1 Version 1 07 July 2025 Copyright This work is licensed under a Creative Commons Attribution 4.0 International License Keywords agile data science design thinking engineering profession lean prototyping Authors Affiliations Boyan Angelov 0000-0001-5068-4234 [email protected] View all articles by this author Sina Niedermaier View all articles by this author Metrics & Citations Metrics Article Usage 283 views 165 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Boyan Angelov, Sina Niedermaier. Closing the Loop: Rapid prototyping for data science and AI products. Authorea . 07 July 2025. 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