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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).

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How to Write an After-Call Survey Script

Fonolo

The value is in the timing—customers will give the most accurate accounts of their service experiences shortly after they’ve happened. You might have a carefully crafted questionnaire or script for your after-call survey. Have you collected enough data? Fonolo’s Portal could help with real-time insights and data-rich reporting.

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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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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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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. It also provides common ML algorithms that are optimized to run efficiently against extremely large data in a distributed environment.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models. Data science and DevOps teams may face challenges managing these isolated tool stacks and systems.