AI Jargon Buster
AI news and the language around it, simplified.
What is Model Versioning?
Model versioning is the systematic process of recording and storing every change made to an AI system as it evolves. Much like saving different drafts of a complex document or tracking changes in financial software, this practice creates a clear history of how a model was built, what data it used, and how it performed at specific points in time. If a new update causes the system to make mistakes or behave in ways that do not meet company standards, teams can use these records to instantly restore a previous, stable version of the software while they investigate the problem.
Why this matters to you
It protects your business operations from sudden disruptions. By keeping a reliable archive of past versions, your team can quickly undo harmful changes, maintain consistent service quality for customers, and ensure that you always have a working backup if a new deployment fails to meet expectations.
How you might hear this
We need to check the model versioning logs to see why the chatbot started giving different answers after last week's update.
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