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The Rise of Machine Customers: How to Seamlessly Integrate Services

CSM Magazine

With the advent of advanced technology, the marketplace is witnessing the emergence of machine customers: non-human entities that autonomously engage in transactions much like humans do, from purchasing goods to utilizing services. Below are specific components that facilitate service to this new type of clientele.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

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Automate prior authorization using CRD with CDS Hooks and AWS HealthLake

AWS Machine Learning

Prior Authorization Support (PAS) – This allows provider systems to send (and payer systems to receive) prior authorization requests using FHIR, while still meeting regulatory mandates to have X12 278 used, where required, to transport the prior authorization, potentially simplifying processing for either exchange partner (or both).

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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

It uses machine learning–powered automatic speech recognition (ASR), automatic language identification, and post-processing technologies. Both HTTP/2 and WebSockets streaming connections are established over Transport Layer Security (TLS), which is a widely accepted cryptographic protocol. We recommend using TLS 1.2 or later.

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Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models

AWS Machine Learning

To help you get started, we’ve also released a set of sample one-click deployable Lambda functions ( plugins ) to integrate QnABot with your choice of leading LLM providers, including our own Amazon Bedrock service and APIs from third-party providers, Anthropic and AI21. We expect to add more sample plugins over time.

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Build well-architected IDP solutions with a custom lens – Part 2: Security

AWS Machine Learning

Design principles The Security Pillar encompasses the ability of an IDP solution to protect input documents, document processing systems, and output assets, taking advantage of AWS technologies to improve security while processing documents intelligently. This parameter allows you to specify the S3 bucket for storing the output.

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5 ways to know if your IVA is ready for Summer 2022

Interactions

Your IVA should streamline issuing and using travel credits as well as handling refunds with self-service technology. The IVA should be able to send safety protocol details and reminders during key parts of your travelers’ journey to ensure a smooth experience for everyone, like gate information and ground transportation logistics.