
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
Predicting future volume of incident tickets is a critical task in managing the operations of a service in order to keep the operations within the permissible boundaries of SLA (Service Level Agreement).Incident Service Ticket Volume Predictor helps an organization by predicting future volumes of service tickets. It predicts service ticket volumes for subsequent 12 weeks in the future
Key Data
Version | |
By | Wipro Technologies |
Categories | |
Type | Model Package |
Fulfillment Methods | Amazon SageMaker
|
Usage Information
Fulfillment Methods
Amazon SageMaker
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
Wipro Incident Ticket Volume Predictor
AWS 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
Since you are not being charged currently for the use of this software there will be no refund of any charges.