Enhance deployment guardrails with inference component rolling updates for Amazon SageMaker AI inference

Favorite Deploying models efficiently, reliably, and cost-effectively is a critical challenge for organizations of all sizes. As organizations increasingly deploy foundation models (FMs) and other machine learning (ML) models to production, they face challenges related to resource utilization, cost-efficiency, and maintaining high availability during updates. Amazon SageMaker AI introduced inference

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Shared by AWS Machine Learning March 25, 2025

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

Favorite 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. Session Management APIs provide an out-of-the-box solution that enables developers to securely

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Shared by AWS Machine Learning March 25, 2025

Automate IT operations with Amazon Bedrock Agents

Favorite IT operations teams face the challenge of providing smooth functioning of critical systems while managing a high volume of incidents filed by end-users. Manual intervention in incident management can be time-consuming and error prone because it relies on repetitive tasks, human judgment, and potential communication gaps. Using generative AI

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Shared by AWS Machine Learning March 21, 2025

Build a generative AI enabled virtual IT troubleshooting assistant using Amazon Q Business

Favorite Today’s organizations face a critical challenge with the fragmentation of vital information across multiple environments. As businesses increasingly rely on diverse project management and IT service management (ITSM) tools such as ServiceNow, Atlassian Jira and Confluence, employees find themselves navigating a complex web of systems to access crucial data.

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Shared by AWS Machine Learning March 21, 2025

Unleashing the multimodal power of Amazon Bedrock Data Automation to transform unstructured data into actionable insights

Favorite Gartner predicts that “by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023.” The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling. Enterprises generate massive volumes of unstructured

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Shared by AWS Machine Learning March 20, 2025

Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

Favorite Asure, a company of over 600 employees, is a leading provider of cloud-based workforce management solutions designed to help small and midsized businesses streamline payroll and human resources (HR) operations and ensure compliance. Their offerings include a comprehensive suite of human capital management (HCM) solutions for payroll and tax,

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Shared by AWS Machine Learning March 20, 2025

Create generative AI agents that interact with your companies’ systems in a few clicks using Amazon Bedrock in Amazon SageMaker Unified Studio

Favorite Today we are announcing that general availability of Amazon Bedrock in Amazon SageMaker Unified Studio. Companies of all sizes face mounting pressure to operate efficiently as they manage growing volumes of data, systems, and customer interactions. Manual processes and fragmented information sources can create bottlenecks and slow decision-making, limiting

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Shared by AWS Machine Learning March 20, 2025

Streamline AWS resource troubleshooting with Amazon Bedrock Agents and AWS Support Automation Workflows

Favorite As AWS environments grow in complexity, troubleshooting issues with resources can become a daunting task. Manually investigating and resolving problems can be time-consuming and error-prone, especially when dealing with intricate systems. Fortunately, AWS provides a powerful tool called AWS Support Automation Workflows, which is a collection of curated AWS

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Shared by AWS Machine Learning March 20, 2025