Amazon Sagemaker
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.
Mphasis Optimize.AI MTTR Predictor
By:
Latest Version:
V-3
An ML based solution for MTTR prediction of service tickets.
Product Overview
The MTTR (Mean Time to Resolution) predictor is an AI/ML based solution which predicts the time taken by a service agent to solve a specific ticket or an incident request. The solution learns the efficiency, experience and workload management metrics for various ticket types solved by service agents to arrive at the predictions. The solution helps business in optimal ticket allocation leading to a low MTTR, shorter wait time, fewer open incidents leading to improved efficiency and SLA (Service Level Agreement) adherence.
Key Data
Version
By
Type
Model Package
Highlights
The solution uses a multi-factor approach and considers factors such as efficiency, experience, workload management for various ticket types for all incident managers etc. to predict MTTR for an incident.
The solution incorporates learning from ticket management data from systems and predicts real time MTTR for an incident leading to improved ticket management metrics like fewer open incidents, shorter processing and wait times and improved SLA adherence.
Mphasis Optimize.AI is an AI-centric process analysis and optimization tool that uses AI/ML techniques to mine the event logs to deliver business insights. Need customized Machine Learning and Deep Learning solutions? Get in touch!
Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us
Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Contact us to request contract pricing for this product.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$5.00/hr
running on ml.m5.large
Model Batch Transform$5.00/hr
running on ml.m5.2xlarge
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$0.115/host/hr
running on ml.m5.large
SageMaker Batch Transform$0.461/host/hr
running on ml.m5.2xlarge
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Realtime Inference/hr | |
|---|---|---|
ml.m4.4xlarge | $5.00 | |
ml.r5d.2xlarge | $5.00 | |
ml.g4dn.4xlarge | $5.00 | |
ml.m5.4xlarge | $5.00 | |
ml.c5d.large | $5.00 | |
ml.m5.2xlarge | $5.00 | |
ml.r5.large | $5.00 | |
ml.r5d.large | $5.00 | |
ml.g4dn.2xlarge | $5.00 | |
ml.c5d.4xlarge | $5.00 | |
ml.m4.2xlarge | $5.00 | |
ml.r5.12xlarge | $5.00 | |
ml.r5d.12xlarge | $5.00 | |
ml.c5.2xlarge | $5.00 | |
ml.c5d.9xlarge | $5.00 | |
ml.r5.xlarge | $5.00 | |
ml.r5d.xlarge | $5.00 | |
ml.c4.2xlarge | $5.00 | |
ml.m4.10xlarge | $5.00 | |
ml.c4.xlarge | $5.00 | |
ml.m5.24xlarge | $5.00 | |
ml.m5d.xlarge | $5.00 | |
ml.m5d.large | $5.00 | |
ml.c5.xlarge | $5.00 | |
ml.g4dn.xlarge | $5.00 | |
ml.r5.24xlarge | $5.00 | |
ml.m5d.4xlarge | $5.00 | |
ml.c4.4xlarge | $5.00 | |
ml.r5.4xlarge | $5.00 | |
ml.c5.large | $5.00 | |
ml.m5.xlarge | $5.00 | |
ml.c5.9xlarge | $5.00 | |
ml.m4.xlarge | $5.00 | |
ml.c5.4xlarge | $5.00 | |
ml.m5d.2xlarge | $5.00 | |
ml.c5d.xlarge | $5.00 | |
ml.c4.large | $5.00 | |
ml.r5d.4xlarge | $5.00 | |
ml.m5.large Vendor Recommended | $5.00 | |
ml.c4.8xlarge | $5.00 | |
ml.g4dn.8xlarge | $5.00 | |
ml.t2.xlarge | $5.00 | |
ml.c5.18xlarge | $5.00 | |
ml.c5d.18xlarge | $5.00 | |
ml.t2.large | $5.00 | |
ml.r5.2xlarge | $5.00 | |
ml.t2.2xlarge | $5.00 | |
ml.c5d.2xlarge | $5.00 |
Usage Information
Model input and output details
Input
Summary
- Request ID
- Request Resolved By
- Request Submitted Date and Time
- Request Priority
- Request Resolved Date and Time
- Request Category
- Request Status
Limitations for input type
No
Input MIME type
application/zipSample input data
Output
Summary
- Request ID
- Request Assigned To
- MTTR
Limitations for output type
No
Output MIME type
text/csv, application/zipSample output data
Sample notebook
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 MTTR Predictor
For any assistance reach out to us at:
AWS Infrastructure
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Learn MoreRefund Policy
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