Remove 2012 Remove Analytics Remove Management Remove Scripts
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Apply fine-grained data access controls with AWS Lake Formation and Amazon EMR from Amazon SageMaker Studio

AWS Machine Learning

Data is often stored in data lakes managed by AWS Lake Formation , enabling you to apply fine-grained access control through a simple grant or revoke mechanism. Also, when data is accessed from data lakes managed with Lake Formation, you can enforce table-level and column-level access using policies attached to the runtime role.

Scripts 78
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Contact Center Trends 2021: The CX Watershed

Fonolo

To achieve that within a remote or hybrid work environment, we’re going to see more contact centers reach for a cloud-based technology that drives camaraderie, increases visibility, allows supervisors to coach from anywhere, and enables agents to self-manage.” Managing a contact center has a unique set of challenges.

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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.

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Use the Amazon SageMaker and Salesforce Data Cloud integration to power your Salesforce apps with AI/ML

AWS Machine Learning

Search for App Manager and create a new connected app. Choose Manage Consumer Details. Navigate back to the Manage Connected Apps page. Open the connected app you created and choose Manage. Complete the following steps: Log in to Salesforce and navigate to Setup. For Contact Email , enter your contact email address.

APIs 78
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Contact Center Industry Stats – Contact Center Channels

Taylor Reach Group

Voice: Gartner predicts that by 2020 a customer will manage 85% of the relationship with an enterprise without interacting with a human. Contact Center professionals view improved FCR as the greatest benefit of interaction analytics, with 43.9% In fact, the percentage of Contact Centers using call scripting has risen from 48.3%

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Use a custom image to bring your own development environment to RStudio on Amazon SageMaker

AWS Machine Learning

RStudio on Amazon SageMaker is the industry’s first fully managed RStudio Workbench in cloud. In this post, we share step-by-step instructions to create a custom image and bring it to RStudio on SageMaker using the AWS Management Console or AWS Command Line Interface (AWS CLI). Prerequisites. The appropriate AWS CLI version.

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Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning

After modeling, detected services of each architecture diagram image and its metadata, like URL origin and image title, are indexed for future search purposes and stored in Amazon DynamoDB , a fully managed, serverless, key-value NoSQL database designed to run high-performance applications. join(", "), }; }).catch((error)