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Amazon Bedrock launches Session Management APIs for generative AI applications (Preview)

AWS Machine Learning

Amazon Bedrock announces the preview launch of Session Management APIs, a new capability that enables developers to simplify state and context management for generative AI applications built with popular open source frameworks such as LangGraph and LlamaIndex.

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Track LLM model evaluation using Amazon SageMaker managed MLflow and FMEval

AWS Machine Learning

As LLMs take on more significant roles in areas like healthcare, education, and decision support, robust evaluation frameworks are vital for building trust and realizing the technologys potential while mitigating risks. This comprehensive data storage makes sure that you can effectively manage and analyze your ML projects.

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Centralize model governance with SageMaker Model Registry Resource Access Manager sharing

AWS Machine Learning

We recently announced the general availability of cross-account sharing of Amazon SageMaker Model Registry using AWS Resource Access Manager (AWS RAM) , making it easier to securely share and discover machine learning (ML) models across your AWS accounts.

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How to Choose the Right Call Center for Your Healthcare Practice

TeleDirect

How to Choose the Right Call Center for Your Healthcare Practice As the healthcare industry evolves to meet the demands of modern patients, outsourcing customer communication to a healthcare call center has become a practical and strategic move.

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From innovation to impact: How AWS and NVIDIA enable real-world generative AI success

AWS Machine Learning

Consider Hippocratic AIs work to develop AI-powered clinical assistants to support healthcare teams as doctors, nurses, and other clinicians face unprecedented levels of burnout. They arent just building another chatbot; they are reimagining healthcare delivery at scale. times lower latency compared to other platforms.

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The Biggest CX Changes in Healthcare Customer Support in 2025

Outsource Consultants

In 2025, healthcare customer support and customer experience (CX) isn’t just evolvingit’s entering a whole new era. Driven by advancements in AI and regulatory changes, healthcare brands are optimizing their call centers and redefining what patient support looks like.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. It contains services used to onboard, manage, and operate the environment, for example, to onboard and off-board tenants, users, and models, assign quotas to different tenants, and authentication and authorization microservices.