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Patient Engagement Mobile Apps: On Guard of Health

CSM Magazine

Enhanced self-management: the patient mobile app can help patients track their symptoms, adherence to treatment, and other health metrics. They can also provide educational resources and personalized guidance to help patients manage chronic conditions. Improve the app by addressing user feedback, fixing bugs, and adding new features.

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Build well-architected IDP solutions with a custom lens – Part 4: Performance efficiency

AWS Machine Learning

You can save time, money, and labor by implementing classifications in your workflow, and documents go to downstream applications and APIs based on document type. This helps you avoid throttling limits on API calls due to polling the Get* APIs. The metrics should include business metrics and technical metrics.

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Build well-architected IDP solutions with a custom lens – Part 1: Operational excellence

AWS Machine Learning

Iterate Frequently with Feedback Mechanisms As your document processing workload evolves, ensure your operational strategies adapt in sync and look for opportunities to improve them: Make frequent, small, reversible changes – Design workloads to allow components to be updated regularly to increase the flow of beneficial changes into your workload.

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Customer Success Management: An Essential Guide

JustCall

Before we look at the top 7 customer success management tools, ensure that the CSM tool you select can: Identify and create accurate customer profiles Capture customer data, history, and feedback in real-time. This includes collating information from surveys, marketing initiatives, and/or team interactions, etc.

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The Definitive 2021 Guide to Customer Effort Score

Nicereply

Customer Effort Score is a metric, which customer service teams are using to evaluate how easy customers thought it was to get a resolution to their recent contact. The Customer Effort Score metric grew out of a desire to measure the amount of effort customers were experiencing in their service interactions. And the metric works.

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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning

Furthermore, SageMaker Processing provides an API interface for running, monitoring, and evaluating the workload. The managed cluster, instances, and containers report metrics to Amazon CloudWatch , including usage of GPU, CPU, memory, GPU memory, disk metrics, and event logging.

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Enabling a Mobile Contact Center Workforce with Aspect® Workforce Optimization™ Version 20

Aspect

Contact center s see the opportunity to r educe their real estate costs, but they are not confident in the long-term success of work-from-home. We have also added heat maps for easy visual analysis of performance data and a new API that simplifies the import of third – party performance metrics. .