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Guest Blog: Contact Center Talent in These Changing Times, Part 1 – Setting the Stage

Calabrio

In fact, the pace of change is only accelerating affecting nearly every facet of our lives, from how we bank, shop and socialize to how we respond to a pandemic. The one-size-fit-all script no longer cuts it. In short, agents, supervisors and contact center management can make better, more strategic decisions.

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21 Call Center Managers Share Their Favorite Call Center Leadership Activities

Callminer

The role of a call center manager is complex and challenging. 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. management.

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Everything You Need to Know About Auto Attendant

Hodusoft

In this blog post, we will discuss everything about auto attendants starting from what they are, how they work, the pros and cons of using auto attendants, how to set up an auto attendant, and how to include scripts. Pros of Using Auto Attendant Cons of Auto Attendant Auto Attendant Scripts – What to Record?

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Guest Blog: Contact Center Talent in These Changing Times, Part 1 – Setting the Stage

Calabrio

In fact, the pace of change is only accelerating affecting nearly every facet of our lives, from how we bank, shop and socialize to how we respond to a pandemic. The one-size-fit-all script no longer cuts it. In short, agents, supervisors and contact center management can make better, more strategic decisions.

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Build custom code libraries for your Amazon SageMaker Data Wrangler Flows using AWS Code Commit

AWS Machine Learning

This post introduces a best practice for managing custom code within your Amazon SageMaker Data Wrangler workflow. Instead of hardcoding the custom function into your custom transform step, you pull a script containing the function from CodeCommit, load it, and call the loaded function in your custom transform step.

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Build and train ML models using a data mesh architecture on AWS: Part 2

AWS Machine Learning

In part 1 , we addressed the data steward persona and showcased a data mesh setup with multiple AWS data producer and consumer accounts. The data scientists in this team use Amazon SageMaker to build and train a credit risk prediction model using the shared credit risk data product from the consumer banking LoB. Data exploration.

Scripts 72
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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Coping with unanticipated upticks in demand, staff turnover, and other common call center challenges only further complicate matters for managers working to create an efficient, productive, and effective team. Vincent Nero is the VP General Manager of Successories. Source: Human Resource Management; Issue: 51(4); 2012; Pages 535-548.