The term AI Model Registry is particularly at home in the fields of artificial intelligence, automation and digital transformation. An AI model registry is a type of digital directory in which all versions of AI models are centrally stored, managed and tracked.
Imagine your company develops various AI applications, for example for predicting sales figures or recognising images. Every time a new or improved model is created, it ends up in the AI Model Registry. This allows you to keep track of which model was used for what, who created it and how powerful it is.
This is particularly important if several teams are working on different models or if you have to comply with strict documentation requirements. An illustrative example: A bank uses several AI models to recognise suspicious transactions. Thanks to the AI Model Registry, it can track which model version was in use and when at any time - this increases transparency, security and efficiency.
With an AI model registry, you save time, avoid errors and can react quickly to current requirements - an important basis for any successful AI strategy.
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