Why Most Machine Learning Projects Fail to Reach Production – InfoQ
rbanffy Wednesday, February 04, 2026
Summary
This article explores the common reasons why machine learning projects often fail to make it into production, including lack of a clear business case, data quality issues, and challenges with model deployment and monitoring.
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infoq.com