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Mphasis Optimize.AI MTTR Predictor
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Mphasis Optimize.AI MTTR Predictor Reviews & Product Details

Mphasis Optimize.AI MTTR Predictor Overview

What is Mphasis Optimize.AI MTTR Predictor?

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.

Mphasis Optimize.AI MTTR Predictor Details
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Product Description
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.

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Description

Mphasis Stelligent, with its website located at https://stelligent.com/, specializes in providing DevOps automation and continuous delivery solutions on the Amazon Web Services (AWS) cloud platform. As part of Mphasis, a larger IT services company, Stelligent focuses on helping clients automate and accelerate the development, testing, and deployment of applications within AWS environments. Their suite of services includes consulting, engineering, and automation expertise to implement secure and scalable CI/CD pipelines, facilitating a faster go-to-market strategy for enterprises across various sectors. Stelligent's approach integrates tightly with AWS technologies, offering tools and practices that enhance the cloud capabilities of their customers, ensuring efficient and innovative cloud-based solutions.

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