Happy to announce that our paper titled, “Agile4MLS—Leveraging Agile Practices for Developing Machine Learning-Enabled Systems: An Industrial Experience” has been published in the IEEE Software November 2022 Issue (AI Engineering - Realizing the potential of AI).

Authors: Karthik Vaidhyanathan, Anish Chandran, Henry Muccini and Regi prototype

IEEE Software is one of the leading software practitioner magazine and journal with an impact factor of 2.945.

Abstract

Increased adoption of machine learning (ML) in business has led to a surge in ML-enabled systems in the market giving rise to new challenges. This article provides insights into Agile4MLS, highlighting the challenges we faced and the process we followed.