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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning

Run the script init-script.bash : chmod u+x init-script.bash./init-script.bash init-script.bash This script prompts you for the following: The Amazon Bedrock knowledge base ID to associate with your Google Chat app (refer to the prerequisites section). The script deploys the AWS CDK project in your account. Choose Save.

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5 Top Customer Service Articles for the Week of June 17, 2019

ShepHyken

My Comment: While I don’t believe in scripts (How can you script sincerity?), Best Practices for Call Center Scripts: Expert Tips & Best Practices for Developing & Using Effective Call Center Scripts by Rachael Royds. As mentioned, I’m concerned with a company that focuses on scripts.

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Great Tips on How to Run a Successful Workshop and Motivate Your Audience

Beyond Philosophy

Similarly, consider the group dynamics when dividing attendees into smaller teams. If you listen, you will also learn the following: Ryan wrote a script for Broadway, and Colin is married to his stepsister. How to effectively manage group dynamics by balancing personality types and seniority levels. No, really.

Scripts 243
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Here’s How to Write Effective Call Center Scripts

Quality Contact Solutions

After writing over one thousand call center scripts, we know that there isn’t a single stand-alone ingredient we’d consider the ‘secret sauce’ for creating the perfect script. Instead, scripts are purposeful and serve as a guide to accomplish the objective of the call. No, it doesn’t.

Scripts 98
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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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Guest Post: Agents Are the Answer: Empower Your Workforce to Improve Customer Experience and Reduce Attrition

ShepHyken

In their recent survey of over 560 agents, they found that agents who stray from their prescribed call scripts are happier in their jobs overall. A deeper dive into this finding reveals that agents most often deviate from their scripts because they want to improvise based on the customer’s needs.

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

The following diagram depicts an architecture for centralizing model governance using AWS RAM for sharing models using a SageMaker Model Group , a core construct within SageMaker Model Registry where you register your model version. The MLE is notified to set up a model group for new model development.