Author name: aiepicentre

Accelerate intelligent document processing with generative AI on AWS

Amazon Bedrock Data Automation, Generative AI /

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, many organizations still rely on manual […]

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Fine-tune OpenAI GPT-OSS models using Amazon SageMaker HyperPod recipes

Amazon SageMaker, Amazon SageMaker AI, Announcements, Artificial Intelligence, Foundation models /

This post is the second part of the GPT-OSS series focusing on model customization with Amazon SageMaker AI. In Part 1, we demonstrated fine-tuning GPT-OSS models using open source Hugging Face libraries with SageMaker training jobs, which supports distributed multi-GPU and multi-node configurations, so you can spin up high-performance clusters on demand. In this post,

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Inline code nodes now supported in Amazon Bedrock Flows in public preview

Amazon Bedrock Prompt Flows, Announcements /

Today, we are excited to announce the public preview of support for inline code nodes in Amazon Bedrock Flows. With this powerful new capability, you can write Python scripts directly within your workflow, alleviating the need for separate AWS Lambda functions for simple logic. This feature streamlines preprocessing and postprocessing tasks (like data normalization and

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Accelerate enterprise AI implementations with Amazon Q Business

AI/ML, Amazon Q Business, Artificial Intelligence, Best Practices, Generative AI /

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 case can be challenging. This post

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Create personalized products and marketing campaigns using Amazon Nova in Amazon Bedrock

Amazon Bedrock, Amazon Nova, CPG, Generative AI, Industries, Marketing & Advertising, Media & Entertainment, Retail /

This post was written with Jake Friedman from Wildlife. Businesses are seeking innovative ways to differentiate themselves through hyper-personalization and enhanced customer experiences. At the Cannes Lions International Festival of Creativity 2025, AWS showcased The Fragrance Lab, an interactive and inspiring experience that demonstrates how generative AI can support the development of hyper-personalized consumer goods

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Tyson Foods elevates customer search experience with an AI-powered conversational assistant

Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon OpenSearch Service, CPG, Customer Solutions, Experience-Based Acceleration /

Tyson Foodservice operates as a critical division within Tyson Foods Inc., using its extensive protein production capabilities to supply a diverse array of foodservice clients across multiple sectors. As one of the largest protein providers in the US, Tyson Foods produces approximately 20% of the nation’s beef, pork, and chicken, which forms the foundation of

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Enhance AI agents using predictive ML models with Amazon SageMaker AI and Model Context Protocol (MCP)

Advanced (300), AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker AI, Artificial Intelligence, Generative AI /

Machine learning (ML) has evolved from an experimental phase to becoming an integral part of business operations. Organizations now actively deploy ML models for precise sales forecasting, customer segmentation, and churn prediction. While traditional ML continues to transform business processes, generative AI has emerged as a revolutionary force, introducing powerful and accessible tools that reshape

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How Infosys built a generative AI solution to process oil and gas drilling data with Amazon Bedrock

Amazon Bedrock, Amazon Machine Learning, Artificial Intelligence, Energy (Oil & Gas), Generative AI, Partner solutions /

Enterprises across industries like healthcare, finance, manufacturing, and legal services face escalating challenges in processing vast amounts of multimodal data that combines text, images, charts, and complex technical formats. As organizations generate multimodal content at unprecedented speed and scale, document processing methods increasingly fail to handle the intricacies of specialized domains where technical terminology, interconnected

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Simplify access control and auditing for Amazon SageMaker Studio using trusted identity propagation

Advanced (300), Amazon SageMaker AI, Amazon SageMaker Studio, AWS IAM Identity Center, Technical How-to /

AWS supports trusted identity propagation, a feature that allows AWS services to securely propagate a user’s identity across service boundaries. With trusted identity propagation, you have fine-grained access controls based on a physical user’s identity rather than relying on IAM roles. This integration allows for the implementation of access control through services such as Amazon

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Benchmarking document information localization with Amazon Nova

Advanced (300), Amazon Bedrock, Amazon Nova, Artificial Intelligence, Generative AI, Technical How-to /

Every day, enterprises process thousands of documents containing critical business information. From invoices and purchase orders to forms and contracts, accurately locating and extracting specific fields has traditionally been one of the most complex challenges in document processing pipelines. Although optical character recognition (OCR) can tell us what text exists in a document, determining where

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