Remove Entertainment Remove Metrics Remove Personalization
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5 Top Customer Service Articles of the Week 5-3-2021

ShepHyken

an online retailer of music instruments and audio gear, is dedicated to investing in an “old school” approach when it comes to customer experience and the strategy is all about personalization and relationships. A personalized experience wins over an automated experience. An entertaining experience drives higher engagement.

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Amazing Business Radio: Martin Powton

ShepHyken

PersonalizationPersonalize your surveys, including the customer’s name, for example. Creating a more personal experience will make your customers feel as if you value their answers. Go above just collecting metrics, and discover how your customers feel about you and your organization.

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Brouhaha in Broadcasting: The Cable Digital Transformation

TechSee

No longer are consumers watching news, entertainment, and sports over a limited number of channels at specifically scheduled times of the day. Cablecos that can pivot to provide better customer experiences can expect to realize 2% to 5% top-line growth, significant improvements in CSAT metrics, and up to 5% savings in operating expenses.

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

Callminer

Metrics, Measure, and Monitor – Make sure your metrics and associated goals are clear and concise while aligning with efficiency and effectiveness. Make each metric public and ensure everyone knows why that metric is measured. Jeff Greenfield is the co-founder and chief operating officer of C3 Metrics.

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Build a news recommender application with Amazon Personalize

AWS Machine Learning

Delivering personalized news and experiences to readers can help solve this problem, and create more engaging experiences. However, delivering truly personalized recommendations presents several key challenges: Capturing diverse user interests – News can span many topics and even within specific topics, readers can have varied interests.

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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning

The transcriptions in OpenSearch are then further enriched with these custom ML models to perform components identification and provide valuable insights such as named entity recognition, speaker role identification, sentiment analysis, and personally identifiable information (PII) redaction.

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

The DS uses SageMaker Training jobs to generate metrics captured by , selects a candidate model, and registers the model version inside the shared model group in their local model registry. You can use the method mlflow.autolog() to log metrics, parameters, and models without the need for explicit log statements.