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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

The personalization of LLM applications can be achieved by incorporating up-to-date user information, which typically involves integrating several components. One such component is a feature store, a tool that stores, shares, and manages features for machine learning (ML) models.

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Online Retail Supply Chain Management: From A to Z

JivoChat

Whether you’re a first-time online seller or a seasoned professional, navigating the complexities of managing an efficient and cost-effective retail supply chain can be challenging. First of all, what is supply chain management in the first place? What Are The Different Types Of Supply Chain Management? Fast chain.

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The Challenges of Managing Customer Data in Contact Centers

NobelBiz

Regulations designed to protect individuals’ personal information are followed by businesses around the world. Some of the most widely used norms set by contact center regulators are: HIPAA (The Health Insurance Portability and Accountability Act) a privacy law that prevents the unauthorized disclosure of private health information.

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The Challenges of Managing Customer Data in Contact Centers

NobelBiz

Regulations designed to protect individuals’ personal information are followed by businesses around the world. Some of the most widely used norms set by contact center regulators are: HIPAA (The Health Insurance Portability and Accountability Act) a privacy law that prevents the unauthorized disclosure of private health information.

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What is the purpose of customer experience management?

ViiBE Blog

What is the purpose of customer experience management? Automotive , Construction , Energy , Insurance , Retail , SMB , Transport. This is why customer experience management, meaning a process of tracking customer expectations and undertaking relevant actions, has become one of the focus points of businesses across different industries.

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Large language model inference over confidential data using AWS Nitro Enclaves

AWS Machine Learning

This post discusses how Nitro Enclaves can help protect LLM model deployments, specifically those that use personally identifiable information (PII) or protected health information (PHI). In our example use case, an LLM service is designed to answer employee healthcare benefit questions or provide a personal retirement plan.

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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

Examples of such information are personally identifiable information (PII), personal health information (PHI), and payment card industry (PCI) data. This content includes the security configuration and management tasks for the AWS services that you use. For more information about data privacy, see the Data Privacy FAQ.