Amazon Bedrock

Auto Added by WPeMatico

Context extraction from image files in Amazon Q Business using LLMs

AI/ML, Amazon Bedrock, Amazon Machine Learning, Amazon Q, Amazon Q Business, Artificial Intelligence, Generative AI, Intermediate (200) /

To effectively convey complex information, organizations increasingly rely on visual documentation through diagrams, charts, and technical illustrations. Although text documents are well-integrated into modern knowledge management systems, rich information contained in diagrams, charts, technical schematics, and visual documentation often remains inaccessible to search and AI assistants. This creates significant gaps in organizational knowledge bases, leading […]

Context extraction from image files in Amazon Q Business using LLMs Read More »

Tailor responsible AI with new safeguard tiers in Amazon Bedrock Guardrails

Amazon Bedrock, Amazon Bedrock Guardrails, Artificial Intelligence, Best Practices, Generative AI, Responsible AI, Technical How-to, Thought Leadership /

Amazon Bedrock Guardrails provides configurable safeguards to help build trusted generative AI applications at scale. It provides organizations with integrated safety and privacy safeguards that work across multiple foundation models (FMs), including models available in Amazon Bedrock, as well as models hosted outside Amazon Bedrock from other model providers and cloud providers. With the standalone

Tailor responsible AI with new safeguard tiers in Amazon Bedrock Guardrails Read More »

Structured data response with Amazon Bedrock: Prompt Engineering and Tool Use

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

Generative AI is revolutionizing industries by streamlining operations and enabling innovation. While textual chat interactions with GenAI remain popular, real-world applications often depend on structured data for APIs, databases, data-driven workloads, and rich user interfaces. Structured data can also enhance conversational AI, enabling more reliable and actionable outputs. A key challenge is that LLMs (Large

Structured data response with Amazon Bedrock: Prompt Engineering and Tool Use Read More »

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.

Build an intelligent multi-agent business expert using Amazon Bedrock Read More »

Driving cost-efficiency and speed in claims data processing with Amazon Nova Micro and Amazon Nova Lite

Amazon Bedrock, Amazon Nova, Artificial Intelligence, Foundation models, Generative AI /

Amazon operations span the globe, touching the lives of millions of customers, employees, and vendors every day. From the vast logistics network to the cutting-edge technology infrastructure, this scale is a testament to the company’s ability to innovate and serve its customers. With this scale comes a responsibility to manage risks and address claims—whether they

Driving cost-efficiency and speed in claims data processing with Amazon Nova Micro and Amazon Nova Lite Read More »

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

Amazon Bedrock Agents observability using Arize AI Read More »

NewDay builds A Generative AI based Customer service Agent Assist with over 90% accuracy

Amazon Bedrock, Amazon Cognito, Artificial Intelligence, AWS Fargate, Contact Center, Customer Solutions, Financial Services, Generative AI /

This post is co-written with Sergio Zavota and Amy Perring from NewDay. NewDay has a clear and defining purpose: to help people move forward with credit. NewDay provides around 4 million customers access to credit responsibly and delivers exceptional customer experiences, powered by their in-house technology system. NewDay’s contact center handles 2.5 million calls annually,

NewDay builds A Generative AI based Customer service Agent Assist with over 90% accuracy Read More »

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.

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

Meeting summarization and action item extraction with Amazon Nova

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

Meetings play a crucial role in decision-making, project coordination, and collaboration, and remote meetings are common across many organizations. However, capturing and structuring key takeaways from these conversations is often inefficient and inconsistent. Manually summarizing meetings or extracting action items requires significant effort and is prone to omissions or misinterpretations. Large language models (LLMs) offer

Meeting summarization and action item extraction with Amazon Nova Read More »

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

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