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5 Top Customer Service Articles for the Week of August 28, 2017

ShepHyken

Ideas like understanding industry benchmarks and using feedback are for everyone. Business Over Broadway) The tools and methods of artificial intelligence, machine learning and predictive analytics will play a major role in helping businesses better understand and manage the customer experience. While nearly every major U.S.

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10 Unique Use Cases for Speech Analytics

Expivia

This week we will be talking about 10 unique use cases for speech analytics. Speech analytics is evolving to have use cases not yet thought of. For those of you who use speech analytics and want to expand the ROI for them, this is for you. Generating Marketing Data. Proactive Customer Service. Tracking Silence.

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J.D. Power and Tethr collaborate to fuel customer experience insights

Tethr

Power’s leading industry intelligence, data, and benchmarks with the voice of customer insights delivered from Tethr to help organizations explore and pinpoint the specific areas needing attention to improve customer experience. Power is a global leader in consumer insights, advisory services, and data and analytics.

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How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch

AWS Machine Learning

A model that generates a comprehensive category tree allows our commercial teams to benchmark our existing product portfolio against that of our competitors, offering a strategic advantage. This capability of predictive analytics, particularly the accurate forecast of product categories, has proven invaluable.

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A review of purpose-built accelerators for financial services

AWS Machine Learning

The financial services industry (FSI) is no exception to this, and is a well-established producer and consumer of data and analytics. These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). The union of advances in hardware and ML has led us to the current day.

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Call Center Analytics: How to Analyze Call Center Data

Balto

In todays customer-first world, monitoring and improving call center performance through analytics is no longer a luxuryits a necessity. Utilizing call center analytics software is crucial for improving operational efficiency and enhancing customer experience. What Are Call Center Analytics?

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Achieve rapid time-to-value business outcomes with faster ML model training using Amazon SageMaker Canvas

AWS Machine Learning

Machine learning (ML) can help companies make better business decisions through advanced analytics. We estimated these numbers by running benchmark tests on different dataset sizes from 0.5 Under the hood, SageMaker Canvas uses multiple AutoML technologies to automatically build the best ML models for your data.