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Call Center Training: The Complete Guide for 2020 (with Practical Tips)

Serenova

Six Call Center Training Tips & Best Practices for Better Customer Experience. Call center agents have become the clear frontline for customer service and brand reputation. It’s now about creating superior customer experience with every customer interaction. Embrace continuous training.

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Empower Your Customers: Master Self-Service with Structured Content and AI

CSM Magazine

In a world where customer service is constantly evolving, there’s a rising star that’s transforming the game: self-service. Picture a scenario where customers have the power to find answers at their fingertips, without relying on customer service agents. Where searches are auto-completed.

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Call Center Training: The Complete Guide for 2020 (with Practical Tips)

Serenova

Six Call Center Training Tips & Best Practices for Better Customer Experience. Call center agents have become the clear frontline for customer service and brand reputation. It’s now about creating superior experiences with every customer interaction. Ultimately, your contact center will operate to its full potential.

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5 Ways to Improve Your Voice of the Customer Programme

CSM Magazine

As CX tops the business agenda, there’s never been a better time to master the art of listening. Delivering the right customer experience (CX) is typically a top priority for businesses for good reason. As a result, improving service levels is the top goal for 38% of contact centres in 2022. 5 Ways to Improve Your VoC Programme.

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The Best 15 Customer Experience Software Tools to Elevate the Customer Experience

Netomi

What is customer experience? How do your customers really regard their experience with your brand when they use your companies’ products or services? Customer experience (CX) relates to just this. report 1 that customer experience stands as a top priority for their business, in the next five years.

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AWS Celebrates 5 Years of Innovation with Amazon SageMaker

AWS Machine Learning

In just 5 years, tens of thousands of customers have tapped Amazon SageMaker to create millions of models, train models with billions of parameters, and generate hundreds of billions of monthly predictions. To harness this opportunity and take ML out of the research lab and into the hands of organizations, AWS created Amazon SageMaker.