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21 Call Center Managers Share Their Favorite Call Center Leadership Activities

Callminer

Call center managers may be involved with hiring and training call center agents , monitoring call center metrics tied to agent performance , using speech analytics tools for ongoing quality monitoring , providing ongoing feedback and coaching, and more. Productivity and creativity come from the outside…”. Build a diverse team.

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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM). For a deep dive, refer to Cross account feature group discoverability and access.

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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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An Ultimate Speech Analytics Guide to Improve Sales and Customer Service

JustCall

Speech analytics is one such technology that allows companies to increase their sales by tailoring their interactions with prospects and enhancing sales pitches. So, if you are yet to integrate speech analytics into your system, it is high time to do so. What is Speech Analytics? The term “speech analytics” is self-explanatory.

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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Tune ML models for additional objectives like fairness with SageMaker Automatic Model Tuning

AWS Machine Learning

For example, Fairness – The aim here is to encourage models to mitigate bias in model outcomes between certain sub-groups in the data, especially when humans are subject to algorithmic decisions. For example, a credit lending application should not only be accurate but also unbiased to different population sub-groups.

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Self-Service: A Complete Guide for the Modern Call Center

Fonolo

With this in mind, one can read “AI/chatbot” stories more critically. For example, if a company is boasting about banking-by-chatbot, ask yourself how much of that interaction was previously done over their website, and thus already in the self-serve realm? AI-powered agent assist AI is the new call center sidekick for your agents.