Remove Accountability Remove Engineering Remove industry standards
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Evaluate large language models for your machine translation tasks on AWS

AWS Machine Learning

For customers operating in global industries, potentially translating to and from over 10 languages, this approach can prove to be operationally complex and costly. The solution proposed in this post relies on LLMs context learning capabilities and prompt engineering. You should see a noticeable increase in the quality score.

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Protecting Customer Data: Tackling Cybersecurity Risks in Service Teams

CSM Magazine

Cyberthieves continually change their strategies, attacking customer service teams through phishing attacks, social engineering, and data theft. With employees having unnecessary privileges or the absence of account auditing, data leakage becomes a probability – deliberate or by mistake.

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Insights in implementing production-ready solutions with generative AI

AWS Machine Learning

Standard development best practices and effective cloud operating models, like AWS Well-Architected and the AWS Cloud Adoption Framework for Artificial Intelligence, Machine Learning, and Generative AI , are key to enabling teams to spend most of their time on tasks with high business value, rather than on recurrent, manual operations.

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

AWS Machine Learning

Traditionally, cloud engineers learning IaC would manually sift through documentation and best practices to write compliant IaC scripts. These generated scripts are tailored to meet your organization’s unique requirements while conforming to industry standards for security and compliance.

Scripts 130
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Using Agents for Amazon Bedrock to interactively generate infrastructure as code

AWS Machine Learning

Agents for Amazon Bedrock automates the prompt engineering and orchestration of user-requested tasks. This solution uses Retrieval Augmented Generation (RAG) to ensure the generated scripts adhere to organizational needs and industry standards. A GitHub account with a repository to store the generated Terraform scripts.

Scripts 137
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Know How You Measure Up and See all the Difference: How your Team can Beat the Industry Standards of these Three Popular Call Center Metrics

SharpenCX

According to Gallup’s Re-Engineering Performance Management research, measurement is a positive pillar for developing employees. It holds them accountable and helps you give good, specific recognition. Gallup also found employees who think their manager holds them accountable for performance are 2.5x Customer Satisfaction.

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

Callminer

Smitha obtained her license as CPA in 2007 from the California Board of Accountancy. With more than 15 years of experience in business, finance and accounting, she is also responsible for implementing financial controls and processes.