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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.

Mphasis Optimize.AI Process Discovery

By: Mphasis Latest Version: 3.9

Product Overview

Workflows such as customer journeys and service delivery are complex multi-step processes and process managers are tasked with meeting process KPIs such as Cycle time, Queue lengths, Failure rate, Compliance metrics etc. which require continuous optimization of such processes. This solution helps analyse the process by mining workflow logs and generates process maps at path and time level. These process maps can be used to identify happy path, deviations from STP, compliance deviations and process bottlenecks which can help identify process interventions for optimization.

Key Data

By Mphasis
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

End User License Agreement

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Support Information

Mphasis Optimize.AI Process Discovery

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