Remove Calibration Remove Government Remove Industry Remove Scripts
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How to Prepare for CMS Test Call Season

CSM Magazine

Train teams to recognize the signs that a call is actually a test call—for example, overly scripted language or formulaic questions. Furnish agents with informational scripts. They should expect—and be willing—to take part in regular calibration sessions to review any calls that failed. Collect and share past questions.

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Transforming Service in the Telecom Industry: Why It’s Needed and How to Make It Happen

Up Your Service

What’s happening in the industry? Telecommunications companies used to be cash cows: massive, often government-linked monopolies that provided essential connectivity services and reliably churned out cash. A means of calibrating and measuring how good – or bad – is the service you provide. What’s needed to succeed?

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Accelerate machine learning time to value with Amazon SageMaker JumpStart and PwC’s MLOps accelerator

AWS Machine Learning

Central to this paradigm is a pipeline-centric viewpoint for developing and operating industrial-strength ML systems. Such pipelines support structured and systematic processes for building, calibrating, assessing, and implementing ML models, and the models themselves generate predictions and inferences.