Machine learning is appropriate when historical data contains a repeatable signal, prediction can change a decision, errors have acceptable costs, and performance can be measured against a credible baseline. A deterministic rule, statistical report, process redesign, or no model at all may be the better solution.
Published by Data4AIPublished on September 10, 2025 through the controlled Data4AI editorial workflow.
Data for AI
Machine Learning for Business: From Use Case to Value
Data4AI topicData for AIAI GovernanceData Engineering and Integration
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Written by ยท Editor-in-Chief
Kinshuk Dutta
A lifelong student of data, technology, and the unseen patterns that shape our world. Kinshuk writes practical guides to enterprise AI, data architecture, governance, MLOps, and operating models that hold up in production.
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