Remove industry standards Remove Knowledge Base Remove Scripts
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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

This post explores the new enterprise-grade features for Knowledge Bases on Amazon Bedrock and how they align with the AWS Well-Architected Framework. AWS Well-Architected design principles RAG-based applications built using Knowledge Bases for Amazon Bedrock can greatly benefit from following the AWS Well-Architected Framework.

APIs 122
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Generate customized, compliant application IaC scripts for AWS Landing Zone using Amazon Bedrock

AWS Machine Learning

Amazon Bedrock empowers teams to generate Terraform and CloudFormation scripts that are custom fitted to organizational needs while seamlessly integrating compliance and security best practices. Traditionally, cloud engineers learning IaC would manually sift through documentation and best practices to write compliant IaC scripts.

Scripts 122
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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Bill Dettering is the CEO and Founder of Zingtree , a SaaS solution for building interactive decision trees and agent scripts for contact centers (and many other industries). Interactive agent scripts from Zingtree solve this problem. Agents can also send feedback directly to script authors to further improve processes.

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Using Agents for Amazon Bedrock to interactively generate infrastructure as code

AWS Machine Learning

This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. In this blog post, we explore how Agents for Amazon Bedrock can be used to generate customized, organization standards-compliant IaC scripts directly from uploaded architecture diagrams.

Scripts 127
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What Is Average Handle Time (AHT) in the Contact Center? 5 Best Practices to Improve AHT

Calabrio

However, according to the most recent available data , the AHT industry standard or average is about 6 minutes and 3 seconds. For example, you can leverage AI to score your calls based on relevant metrics such as resolution rate or AHT. Setting an Average Handle Time Benchmark: What is a Good AHT?

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Finding Call Center Services: What Companies Look For

Outsource Consultants

To boost FCR rates, call centers should: Invest in comprehensive agent training Develop robust knowledge bases Implement effective call routing systems Regular quality assurance checks and feedback loops help identify common issues that prevent first-call resolution.

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5 Tips To Reduce Your Call Center’s Average Handle Time (AHT)

Global Response

The correlation is straightforward: the better your knowledge bases, the faster agents can find the answers and information they need, resulting in quicker calls and reduced AHT. For example, companies like Zapier and Shopify have extensive Help Center knowledge bases. Review the sentiment of your scripts.