Amazon SageMaker
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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
This model is designed for automation of business communication. Technical walk-through video describing how to use the model: https://youtu.be/rDdC0ekIBd4 It can serve as basis for classification, automatic responses and other uses. For example see the demo implementation for CRM in Customer Care: https://youtu.be/8f5-SpRfEcc Other demos are available on our website https://dynamic-ai.com We used our own dataset as the test set to evaluate the accuracy of the proposed method. Test report and confusion matrix: https://docs.google.com/spreadsheets/d/1sBrIUqytH3kMD1eJgmJKIE2Nu50gVRTN1MvZ0_80XxI/edit#gid=399507084 Our system achieved an average accuracy of 95% on corpus of 232 messages.
Key Data
| Version | |
| By | Dynamic AI |
| Categories | |
| Type | Model Package |
| Fulfillment Methods | Amazon SageMaker
|
Usage Information
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Support Information
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