Amazon Bedrock Agents

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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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Build a conversational data assistant, Part 2 – Embedding generative business intelligence with Amazon Q in QuickSight

Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Amazon QuickSight, Artificial Intelligence, Intermediate (200), Technical How-to /

In Part 1 of this series, we explored how Amazon’s Worldwide Returns & ReCommerce (WWRR) organization built the Returns & ReCommerce Data Assist (RRDA)—a generative AI solution that transforms natural language questions into validated SQL queries using Amazon Bedrock Agents. Although this capability improves data access for technical users, the WWRR organization’s journey toward truly

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Build a conversational data assistant, Part 1: Text-to-SQL with Amazon Bedrock Agents

Advanced (300), Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Amazon QuickSight, Amazon Redshift, Artificial Intelligence, Best Practices /

What if you could replace hours of data analysis with a minute-long conversation? Large language models can transform how we bridge the gap between business questions and actionable data insights. For most organizations, this gap remains stubbornly wide, with business teams trapped in endless cycles—decoding metric definitions and hunting for the correct data sources to

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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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Advancing AI agent governance with Boomi and AWS: A unified approach to observability and compliance

Amazon Bedrock, Amazon Bedrock Agents, Amazon CloudWatch, Amazon Data Firehose, Best Practices, Customer Solutions, Intermediate (200) /

Just as APIs became the standard for integration, AI agents are transforming workflow automation through intelligent task coordination. AI agents are already enhancing decision-making and streamlining operations across enterprises. But as adoption accelerates, organizations face growing complexity in managing them at scale. Organizations struggle with observability and lifecycle management, finding it difficult to monitor performance

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Build an intelligent multi-agent business expert using Amazon Bedrock

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

In this post, we demonstrate how to build a multi-agent system using multi-agent collaboration in Amazon Bedrock Agents to solve complex business questions in the biopharmaceutical industry. We show how specialized agents in research and development (R&D), legal, and finance domains can work together to provide comprehensive business insights by analyzing data from multiple sources.

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Amazon Bedrock Agents observability using Arize AI

Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, Artificial Intelligence, Generative AI, Intermediate (200) /

This post is cowritten with John Gilhuly from Arize AI. With Amazon Bedrock Agents, you can build and configure autonomous agents in your application. An agent helps your end-users complete actions based on organization data and user input. Agents orchestrate interactions between foundation models (FMs), data sources, software applications, and user conversations. In addition, agents

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Build an agentic multimodal AI assistant with Amazon Nova and Amazon Bedrock Data Automation

Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Data Automation, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Amazon Nova, Artificial Intelligence, Generative AI /

Modern enterprises are rich in data that spans multiple modalities—from text documents and PDFs to presentation slides, images, audio recordings, and more. Imagine asking an AI assistant about your company’s quarterly earnings call: the assistant should not only read the transcript but also “see” the charts in the presentation slides and “hear” the CEO’s remarks.

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Building a custom text-to-SQL agent using Amazon Bedrock and Converse API

Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Amazon DynamoDB, Amazon Machine Learning, AWS Lambda, Technical How-to /

Developing robust text-to-SQL capabilities is a critical challenge in the field of natural language processing (NLP) and database management. The complexity of NLP and database management increases in this field, particularly while dealing with complex queries and database structures. In this post, we introduce a straightforward but powerful solution with accompanying code to text-to-SQL using

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How Apollo Tyres is unlocking machine insights using agentic AI-powered Manufacturing Reasoner

Amazon Bedrock, Amazon Bedrock Agents, Amazon Machine Learning, Customer Solutions, Generative AI, Manufacturing /

This is a joint post co-authored with Harsh Vardhan, Global Head, Digital Innovation Hub, Apollo Tyres Ltd. Apollo Tyres, headquartered in Gurgaon, India, is a prominent international tire manufacturer with production facilities in India and Europe. The company advertises its products under its two global brands: Apollo and Vredestein, and its products are available in

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