Generative AI

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Amazon Bedrock Knowledge Bases now supports Amazon OpenSearch Service Managed Cluster as vector store

Advanced (300), Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon OpenSearch Service, Artificial Intelligence, Generative AI, Technical How-to /

Amazon Bedrock Knowledge Bases has extended its vector store options by enabling support for Amazon OpenSearch Service managed clusters, further strengthening its capabilities as a fully managed Retrieval Augmented Generation (RAG) solution. This enhancement builds on the core functionality of Amazon Bedrock Knowledge Bases , which is designed to seamlessly connect foundation models (FMs) with […]

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How PayU built a secure enterprise AI assistant using Amazon Bedrock

AI/ML, Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Guardrails, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Customer Solutions, Generative AI /

This is a guest post co-written with Rahul Ghosh, Sandeep Kumar Veerlapati, Rahmat Khan, and Mudit Chopra from PayU. PayU offers a full-stack digital financial services system that serves the financial needs of merchants, banks, and consumers through technology. As a Central Bank-regulated financial institution in India, we recently observed a surge in our employees’

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AWS doubles investment in AWS Generative AI Innovation Center, marking two years of customer success

Announcements, Customer Solutions, Generative AI /

When we launched the AWS Generative AI Innovation Center in 2023, we had one clear goal: help customers turn AI potential into real business value. We’ve already guided thousands of customers across industries from financial services to healthcare—including Formula 1, FOX, GovTech Singapore, Itaú Unibanco, Nasdaq, NFL, RyanAir, and S&P Global—from AI experimentation to full-scale

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Build secure RAG applications with AWS serverless data lakes

Amazon Machine Learning, Amazon SageMaker, Amazon SageMaker Data & AI Governance, Amazon SageMaker Lakehouse, Amazon Simple Storage Service (S3), Best Practices, Customer Solutions, Generative AI, Technical How-to /

Data is your generative AI differentiator, and successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Traditional data architectures often struggle to meet the unique demands of generative such as applications. An effective generative AI data strategy requires several key components like seamless integration of diverse data sources,

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Intelligent document processing at scale with generative AI and Amazon Bedrock Data Automation

Amazon Bedrock, Amazon Bedrock Data Automation, Generative AI, Intermediate (200), Technical How-to /

Extracting information from unstructured documents at scale is a recurring business task. Common use cases include creating product feature tables from descriptions, extracting metadata from documents, and analyzing legal contracts, customer reviews, news articles, and more. A classic approach to extracting information from text is named entity recognition (NER). NER identifies entities from predefined categories,

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How Rocket streamlines the home buying experience with Amazon Bedrock Agents

Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Artificial Intelligence, Customer Solutions, Generative AI, Responsible AI /

Rocket Companies is a Detroit-based FinTech company with a mission to “Help Everyone Home.” Although known to many as a mortgage lender, Rocket’s mission extends to the entire home ownership journey from finding the perfect home, purchasing, financing, and using your home equity. Rocket has grown by making the complex simple, empowering clients to navigate

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Build an MCP application with Mistral models on AWS

Advanced (300), Amazon Bedrock, Generative AI /

This post is cowritten with Siddhant Waghjale and Samuel Barry from Mistral AI. Model Context Protocol (MCP) is a standard that has been gaining significant traction in recent months. At a high level, it consists of a standardized interface designed to streamline and enhance how AI models interact with external data sources and systems. Instead

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Unlock retail intelligence by transforming data into actionable insights using generative AI with Amazon Q Business

Amazon Q Business, Amazon QuickSight, Analytics, Artificial Intelligence, Generative AI, Intermediate (200), Retail, Technical How-to /

Businesses often face challenges in managing and deriving value from their data. According to McKinsey, 78% of organizations now use AI in at least one business function (as of 2024), showing the growing importance of AI solutions in business. Additionally, 21% of organizations using generative AI have fundamentally redesigned their workflows, showing how AI is

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Democratize data for timely decisions with text-to-SQL at Parcel Perform

Amazon Athena, Amazon Bedrock, Amazon Bedrock Knowledge Bases, Business Intelligence, Customer Solutions, Generative AI, Intermediate (200), Supply Chain /

This post was co-written with Le Vy from Parcel Perform. Access to accurate data is often the true differentiator of excellent and timely decisions. This is even more crucial for customer-facing decisions and actions. A correctly implemented state-of-the-art AI can help your organization simplify access to data for accurate and timely decision-making for the customer-facing

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Accelerating data science innovation: How Bayer Crop Science used AWS AI/ML services to build their next-generation MLOps service

Amazon API Gateway, Amazon EventBridge, Amazon Q, Amazon Q Business, Amazon Q Developer, Amazon SageMaker, Amazon SageMaker Data & AI Governance, Artificial Intelligence, Customer Solutions, Generative AI /

The world’s population is expanding at a rapid rate. The growing global population requires innovative solutions to produce food, fiber, and fuel, while restoring natural resources like soil and water and addressing climate change. Bayer Crop Science estimates farmers need to increase crop production by 50% by 2050 to meet these demands. To support their

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