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Platform Concept

The Artificial Intelligence Platform is a set of APIs and tools that enable customers to set up and use AI functionalities by themselves, yet with low costs and high performance.

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The Model Training part of the platform is responsible for storing exported data from yuuvis® Momentum (documents, metadata), preprocessing exported data, machine learning training, model evaluation, etc.

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• Exported data repository – a physical place where exported data are stored (local storage, S3, Azure Blob Storage, etc.)
• Duplicate - ML Training Pipeline – the component responsible for the preprocessing of data, machine learning training, model evaluation, etc. Can be deployed on-premises or in the cloud.

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The Model Serving part of the platform is responsible for serving predictions to the calling application (yuuvis® Momentum client application, 3rd party applications, scanners, etc.).

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• Model Serving Server – infrastructure that hosts machine learning models that make predictions. Can be deployed on-premises or in the cloud. 
• Duplicate - PREDICT-API Service – responsible for calling appropriate machine learning models, aggregating, improving, and validating results, and finally rendering responses to the calling application.

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The whole platform is managed using Duplicate - Kairos CLI App.

Infrastructure

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