Why do 87% of data science projects fail to make it past the prototype stage and never make it to production? Challenges of collaboration ML
- Category: Data Science, Software Engineering, Machine Learning, Interdisciplinary Collaboration, Model Requirements, Agile and Integrated Process Life Cycles.
- Client: Review of article awarded by SEI 2022
- Project date: June, 2023
- Project URL: medium.com/@jpimilan
Failures in deployment to production
Review of an article awarded by SEI 2022 By: Juan Pablo Imilan
As a result of the introduction of machine learning (ML) components into information technology (IT) projects, software engineers now need to collaborate with data scientists and other specialists.