Amazon Quick is an AI-powered unified intelligence service that brings together an organization’s data, structured data and unstructured enterprise content like documents, emails, and knowledge bases into a single service …
From siloed data to unified insights: Cross-account Athena Access for Amazon Quick Read More »
AI agents with unrestricted web access pose significant security risks. Without Chrome enterprise policies to control browser behavior, an agent might navigate to unauthorized domains, store credentials in the browser’s …
Financial institutions process thousands of complex documents daily. Optical Character Recognition (OCR) errors in financial data can propagate through interconnected calculations, affecting analytical accuracy. While a single OCR error in …
Build financial document processing with Pulse AI and Amazon Bedrock Read More »
Building end-to-end live streaming applications with real-time voice interaction presents several challenges: network bandwidth constraints can cause high latency and quality degradation in time-critical applications. Language barriers limit effective human-machine …
Build real-time voice streaming applications with Amazon Nova Sonic and WebRTC Read More »
Model Context Protocol (MCP) adoption has accelerated rapidly since its introduction in November 2024. Enterprises now manage dozens to hundreds of MCP servers—tools that extend AI agent capabilities by connecting …
Securing AI agents: How AWS and Cisco AI Defense scale MCP and A2A deployments Read More »
When you fine-tune large language models (LLMs) with Amazon SageMaker AI while using Databricks Unity Catalog, you might face unique challenges like how to maintain strict data governance while using …
Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI Read More »
Amazon’s Finance Technology (FinTech) teams build and operate systems for Amazon teams to manage regulatory inquiries in compliance with different jurisdictions. These teams process regulatory inquiries from authorities, each presenting …
How Amazon Finance streamlines regulatory inquiries by using generative AI on AWS Read More »
Before you can extract information from documents using intelligent document processing (IDP) techniques, you need a schema for each document class that defines what to extract. But how do you …
Automate schema generation for intelligent document processing Read More »
The EU AI Act requires organizations fine-tuning large language models (LLMs) to track computational resources measured in floating-point operations (FLOPs) to determine compliance obligations. As customers increasingly fine-tune LLMs for …
Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI Read More »
This post is co written by Ishan Goswami and Nitya Sridhar from Exa. If you are building web search-enabled AI agents for research, fact-checking, or competitive intelligence, access to current …
Building web search-enabled agents with Strands and Exa Read More »
