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
Expert Identifier is machine learning based model that uses information present in any incident/ticket management data such as: Ticket ID, Ticket Solver Id, Ticket Priority, Ticket Category, Ticket Submission and Resolved date and identifies the right expert to be assigned to a specific ticket or incident request. It can optimise ticket allocation, decreases the ticket resolution time and improve KPIs (Key Performance Indicators) such as customer satisfaction, adherence to SLA (Service Level Agreement), MTTR (Mean Time to Resolve), cost to company, etc.
Key Data
| By | Mphasis |
| Categories | |
| Type | Model Package |
| Fulfillment Methods | Amazon SageMaker
|
Usage Information
Additional Resources
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End User License Agreement (EULA)
Support Information
Mphasis Optimize.AI Expert Identifier
For any assistance, please reach out at:
https://www2.mphasis.com/AWS-Marketplace-Support-LP.htmlAWS Infrastructure
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services. Learn more
Refund Policy
Currently we do not support refunds, but you can cancel your subscription to the service at any time.