In what is still so far a relatively short space of time, growth in machine and deep learning implementations in organizations across the world has been extraordinary. However, this hasn’t always translated into commercial success, with disappointingly low adoption rates in the retail sector (11.5% in the UK1) and just over 50% of prototypes ending up in production across all industries.2 Historically many solutions have been operationally siloed with PhD-level statisticians left to explain code-heavy technical models. ...
© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023
B. WalshProductionizing AIhttps://doi.org/10.1007/978-1-4842-8817-7_66. AutoML, AutoAI, and the Rise of NoLo UIs
Barry Walsh1
(1)
Ely, UK
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