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Accelerate Amazon SageMaker inference with C6i Intel-based Amazon EC2 instances

AWS Machine Learning

Overview of the technology EC2 C6i instances are powered by third-generation Intel Xeon Scalable processors (also called Ice Lake) with an all-core turbo frequency of 3.5 Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions.

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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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Quality Assurance Implementation: In With the New… AND the Old?

CSR Inc.

Key Quality Basics Strangely, sometimes identifying and implementing the ‘new stuff’ (think: procedures, policies or technology) is less important than the points we’ve long taken for granted. Calibrations Aren’t Just a Chore. Calibrations Aren’t Just a Chore. Calibrations run smoothest when healthy conversation is fostered.

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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Have the best technology – Finicky technology that makes day-to-day functions difficult, adds to the frustration and takes up far more time and man-power than most realize. HEG uses proprietary technology, like EduMaximizer, to deliver targeted enrollment leads to for-profit and nonprofit education clients. Too many portals…”.

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Putting Humanity in Contact Centers

Customer Relationship Metrics

While technology may have helped to automate these practices, the constructs are relatively the same. Think about the evaluation, the calibration, and the coaching. During the Survey Calibration process, those survey results would be moved from Suzie to Johnny where they should be based on the customer’s comments.

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Churn prediction using multimodality of text and tabular features with Amazon SageMaker Jumpstart

AWS Machine Learning

Note that the probability returned by this model has not been calibrated. Calibration is a useful property in certain circumstances, but isn’t required in cases where discrimination between cases of churn and non-churn is sufficient. CalibratedClassifierCV from Scikit-learn can be used to calibrate a model.

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

AWS Machine Learning

A recent PwC CEO survey unveiled that 84% of Canadian CEOs agree that artificial intelligence (AI) will significantly change their business within the next 5 years, making this technology more critical than ever. As such, an ML model is the product of an MLOps pipeline, and a pipeline is a workflow for creating one or more ML models.