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Manage your Amazon Lex bot via AWS CloudFormation templates

AWS Machine Learning

Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces in applications. Managing your Amazon Lex bots using AWS CloudFormation allows you to create templates defining the bot and all the AWS resources it depends on.

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17 Must-Read Books for Support Managers

Nicereply

Being a support manager is a demanding job that requires constant learning. These 17 books contain critical lessons that every support manager will benefit from. Every customer support manager has a busy life. Priorities are constantly competing. But one should stand strong among all the others: to keep on learning.

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Close to You

Contact Center Pipeline

In 2012, Rolling Stone […]. The album contained the hit song and perennial wedding favorite, “We’ve Only Just Begun,” and the song that provided the Carpenters with international musical fame, “(They Long to Be) Close to You.”

Analytics 279
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Set up cross-account Amazon S3 access for Amazon SageMaker notebooks in VPC-only mode using Amazon S3 Access Points

AWS Machine Learning

Managing appropriate access control for these datasets among the data scientists working on them is crucial to meet stringent compliance and regulatory requirements. Amazon S3 Access Points simplify managing and securing data access at scale for applications using shared datasets on Amazon S3.

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Evolution of Bots in 2022 And Future Trends

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Last Updated on January 20, 2023 The year is 2012. Customer queries are on the rise, and the operations manager sees no [.] Customer queries are coming into the call center of one of Italy’s biggest car insurance providers. There is a bevy of call center agents, all speaking rapidly on their phones, all looking haggard.

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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

Amazon Bedrock is a fully managed service provided by AWS that offers developers access to foundation models (FMs) and the tools to customize them for specific applications. It allows developers to build and scale generative AI applications using FMs through an API, without managing infrastructure. You’re redirected to the IAM console.

APIs 126
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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning

Provision KMS keys in dev and prod accounts Our first step is to create AWS Key Management Service (AWS KMS) keys in the dev and prod accounts. Create a KMS key in the prod account Go through the same steps in the previous section to create a customer managed KMS key in the prod account. Choose Create key.

Scripts 101