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Achieve operational excellence with well-architected generative AI solutions using Amazon Bedrock

AWS Machine Learning

However, scaling up generative AI and making adoption easier for different lines of businesses (LOBs) comes with challenges around making sure data privacy and security, legal, compliance, and operational complexities are governed on an organizational level. In this post, we discuss how to address these challenges holistically.

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Best practices to build generative AI applications on AWS

AWS Machine Learning

Safety – Retrieving the information from required and permitted data sources can improve governance and control over harmful and inaccurate content generation. For more details about training LLMs on SageMaker, refer to Training large language models on Amazon SageMaker: Best practices and SageMaker HyperPod.

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Establishing an AI/ML center of excellence

AWS Machine Learning

Organizations across industries face numerous challenges implementing generative AI across their organization, such as lack of clear business case, scaling beyond proof of concept, lack of governance, and availability of the right talent. What is an AI/ML CoE?

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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.

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Texting Laws: Can Businesses Send Texts Without Permission?

VirtualPBX

Texting Laws in The United States In order to safeguard consumers from unsolicited messages, numerous countries have enacted specific laws and regulations that govern text message marketing. In the United States, two key laws, the TCPA and CAN-SPAM Act, play a significant role in regulating text messaging and email marketing practices.

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Data Security and Quality Standards for Remote Interpretation Providers

Voiance

Providing quality business and government services often requires interacting with the private information of customers and constituents. In our new whitepaper, The Remote Interpretation Industry: Standards and Best Practices, Voiance explores quality metrics for language services providers, including data security:

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Call Center Call Recording Best Practices

Talkdesk

Call recording can enable call center managers and agents to review the content of calls to analyze performance, determine best practices and identify any compliance issues. Call recording is a complicated and sometimes controversial practice. The Federal Government of the United States. Industry regulations.