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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required. To learn more, see the documentation.

Metrics 83
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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts. Mitigation strategies : Implementing measures to minimize or eliminate risks.

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Redacting PII data at The Very Group with Amazon Comprehend

AWS Machine Learning

This is guest post by Andy Whittle, Principal Platform Engineer – Application & Reliability Frameworks at The Very Group. At The Very Group , which operates digital retailer Very, security is a top priority in handling data for millions of customers. The adoption of Logstash was initially done seamlessly. text(logData).build();

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CX ROI Metrics Roadmap

ClearAction

CX ROI Metrics Roadmap Lynn Hunsaker Your CX ROI metrics roadmap is a cause-and-effect sequence that multiplies growth. All customer experience metrics used today are lagging indicators of growth. Chief Customer Officers measure the gold, blue, and silver metrics shown above. Gold metrics are the key to multiplying value.

Metrics 48
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Call Center Metrics: Examples, Tips & Best Practices

Callminer

Depending on your call center’s primary functions, certain metrics may prove meaningless and unusable in a practical sense, while others can be pivotal in assessing performance and improving over time. Following are a few metrics that matter for inbound call centers: Abandoned Call Rate. Types of Call Centers.

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Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio

AWS Machine Learning

This post is co-written with Marc Neumann, Amor Steinberg and Marinus Krommenhoek from BMW Group. The BMW Group – headquartered in Munich, Germany – is driven by 149,000 employees worldwide and manufactures in over 30 production and assembly facilities across 15 countries.

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Understanding Customer Health Score: 6 Metrics To Track

ClientSuccess

Understanding a customer’s health will let you examine any account at any given time and understand where the relationship is. Metrics That Indicate Customer Health It is essential to track multiple metrics to provide the needed information about how customers interact with your company. What is a Customer Health Score?

Metrics 89