Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists

Towards Productizing AI/ML Models: An Industry Perspective from Data Scientists

The transition from AI/ML models to production-ready AI-based systems is a challenge for both data scientists and software engineers. In this paper, we report the results of a workshop conducted in a consulting company to understand how this transition is perceived by practitioners. Starting from th...

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Bibliographic Details
Published in:2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN) pp. 129 - 132
Main Authors: Lanubile, Filippo, Calefato, Fabio, Quaranta, Luigi, Amoruso, Maddalena, Fumarola, Fabio, Filannino, Michele
Format: Conference Proceeding
Language:English
Published: IEEE 01-05-2021
Subjects:
AI/ML models
Companies
Computational modeling
Conferences
Data models
data products
Data science
Jupyter notebooks
Software
Online Access:Get full text
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Summary:The transition from AI/ML models to production-ready AI-based systems is a challenge for both data scientists and software engineers. In this paper, we report the results of a workshop conducted in a consulting company to understand how this transition is perceived by practitioners. Starting from the need for making AI experiments reproducible, the main themes that emerged are related to the use of the Jupyter Notebook as the primary prototyping tool, and the lack of support for software engineering best practices as well as data science specific functionalities.
DOI:10.1109/WAIN52551.2021.00027