Amazon SageMaker HyperPod enhances ML infrastructure with scalability and customizability

Favorite Amazon SageMaker HyperPod is a purpose-built infrastructure for optimizing foundation model (FM) training and inference at scale. SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training FMs, reducing training time by up to 40%. SageMaker HyperPod offers persistent clusters with

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Shared by AWS Machine Learning August 23, 2025

Accelerate intelligent document processing with generative AI on AWS

Favorite Every day, organizations process millions of documents, including invoices, contracts, insurance claims, medical records, and financial statements. Despite the critical role these documents play, an estimated 80–90% of the data they contain is unstructured and largely untapped, hiding valuable insights that could transform business outcomes. Despite advances in technology,

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Shared by AWS Machine Learning August 23, 2025

Beyond the basics: A comprehensive foundation model selection framework for generative AI

Favorite Most organizations evaluating foundation models limit their analysis to three primary dimensions: accuracy, latency, and cost. While these metrics provide a useful starting point, they represent an oversimplification of the complex interplay of factors that determine real-world model performance. Foundation models have revolutionized how enterprises develop generative AI applications,

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Shared by AWS Machine Learning August 23, 2025

Enhance Geospatial Analysis and GIS Workflows with Amazon Bedrock Capabilities

Favorite As data becomes more abundant and information systems grow in complexity, stakeholders need solutions that reveal quality insights. Applying emerging technologies to the geospatial domain offers a unique opportunity to create transformative user experiences and intuitive workstreams for users and organizations to deliver on their missions and responsibilities. In

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Shared by AWS Machine Learning August 23, 2025

How Infosys Topaz leverages Amazon Bedrock to transform technical help desk operations

Favorite AI-powered apps and AI-powered service delivery are key differentiators in the enterprise space today. A generative AI-based resource can greatly reduce the onboarding time for new employees, enhance enterprise search, assist in drafting content, check for compliance, understand the legal language of data, and more. Generative AI applications are

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Shared by AWS Machine Learning August 22, 2025

Speed up delivery of ML workloads using Code Editor in Amazon SageMaker Unified Studio

Favorite Amazon SageMaker Unified Studio is a single integrated development environment (IDE) that brings together your data tools for analytics and AI. As part of the next generation of Amazon SageMaker, it contains integrated tooling for building data pipelines, sharing datasets, monitoring data governance, running SQL analytics, building artificial intelligence

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Shared by AWS Machine Learning August 22, 2025

Accelerate enterprise AI implementations with Amazon Q Business

Favorite As an Amazon Web Services (AWS) enterprise customer, you’re probably exploring ways to use generative AI to enhance your business processes, improve customer experiences, and drive innovation. With a variety of options available—from Amazon Q Business to other AWS services or third-party offerings—choosing the right tool for your use

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Shared by AWS Machine Learning August 22, 2025