DEPLOYING ARTIFICIAL INTELLIGENCE (AI) MODELS AT LOCAL SITES

Provided are techniques for deploying AI models at local sites. A selection of an Artificial Intelligence (AI) model template is received at a local site, where the AI model template is created at a remote site and is packaged in a transportable container. The AI model template in the transportable...

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Bibliographische Detailangaben
Hauptverfasser: COHEN, Eyal, Bnayahu, Jonathan, ABITBOL, Roy
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:Provided are techniques for deploying AI models at local sites. A selection of an Artificial Intelligence (AI) model template is received at a local site, where the AI model template is created at a remote site and is packaged in a transportable container. The AI model template in the transportable container is retrieved. A lifecycle of an AI model is orchestrated by: instantiating an AI model from the AI model template, retrieving data from one or more local data sources, training the AI model using the data, deploying the AI model as a service, monitoring the AI model for drift, and, in response to identifying drift, re-training the AI model.