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Everything’s On Script: The Advantages of Custom Phone Scripts

TeleDirect

Custom call scripts can help. Most contact centers, including TeleDirect’s outsourced call services , use some sort of base script content to develop an overall communication theme, or at the very least provide a basic structure to build out custom messaging across your departments (sales, service, etc.). Creating Concise Call Scripts.

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

AWS Machine Learning

Features are inputs to ML models used during training and inference. Also, when features used to train models offline in batch are made available for real-time inference, it’s hard to keep the two feature stores synchronized. For a deep dive, refer to Cross account feature group discoverability and access.

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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.

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Train and deploy ML models in a multicloud environment using Amazon SageMaker

AWS Machine Learning

For example, you may want to make use of Amazon SageMaker to build and train ML model, or use Amazon SageMaker Jumpstart to deploy pre-built foundation or third party ML models, which you can deploy at the click of a few buttons. We show how you can build and train an ML model in AWS and deploy the model in another platform.

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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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Use Snowflake as a data source to train ML models with Amazon SageMaker

AWS Machine Learning

With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. This post shows a way to do this using Snowflake as the data source and by downloading the data directly from Snowflake into a SageMaker Training job instance.

Scripts 105
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42 Customer Service Live Chat Script Examples & Templates

Nicereply

Boost customer satisfaction with our 42 expert-crafted live chat scripts. Giving your team the tools and training to efficiently deliver great chat experiences is essential to your live chat success. Live chat scripts are one of those critical tools. Table of Contents Are live chat scripts a double-edged sword?

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