How Loka Built a Natural, Low-Latency Voice Agent with Amazon Nova 2 Sonic
In this post, we demonstrate the architecture and approach Loka used to solve a common frustration: robotic, slow voice assistants that cause customers to hang up,…
In this post, we demonstrate the architecture and approach Loka used to solve a common frustration: robotic, slow voice assistants that cause customers to hang up,…
Enterprises are rapidly deploying agentic applications at scale, from back-office...
Bringing GPU-accelerated drug discovery to your dataLife sciences leaders need domain-specific,...
This post shows you how to build a conversational protein research assistant that combines three capabilities: Natural language query parsing to extract structured search parameters, vector…
What if your cloud environment could help you move from insight to action in real time, with systems already working through the next set of decisions?…
In this post, you will learn patterns for implementing production-ready multi-tenant systems using Amazon Bedrock AgentCore. You will see these patterns demonstrated through healthcare AI agents…
In this post, you will learn how Ampersend built a pay-per-intelligence routing layer on top of Amazon Bedrock AgentCore Payments. AI agents autonomously route tasks to…
In this post, we walk through the problem space, our architecture on Amazon Bedrock and Amazon OpenSearch Serverless, the evaluation methodology we built on OpenStreetMap ground…
In this post, we walk you through how to deploy ComfyUI workflows on Amazon SageMaker AI processing jobs to generate hundreds of high-quality images in a…
Web Search on Amazon Bedrock AgentCore is now generally available. In this post, we walk through what makes Web Search on Amazon Bedrock AgentCore different, why…
This post shows how to enable Adobe Marketing Agent for Amazon Quick using a Model Context Protocol (MCP). We walk you through how to configure the…
Amazon SageMaker AI provides fully managed real-time inference hosting for machine learning models. You deploy a model to a SageMaker endpoint backed by one or more…
Data scientists sit at the intersection of analytics, machine learning (ML) and AI,...
Today, Amazon Bedrock AgentCore harness is generally available. Two API calls (CreateHarness to define an agent, and InvokeHarness to run it), and you have an agent…
Purpose and Core ComponentsA data pipeline is the automated system that moves raw data from source systems...
The identity matching problem brands face todayBrands invest heavily in building first-party data assets...
An SQL ETL pipeline is one of the most foundational components in any modern analytics stack...
Artificial intelligence (AI) is a branch of computer science that lets machines perform...
Data engineering is the foundational backbone of artificial intelligence systems....
A data warehouse is a centralized repository that collects, organizes, and stores...
Row-level security (RLS) is a database access control that limits which rows of a...
Payment fraud detection has become one of the most data-intensive challenges in financial services...
Today, we’re announcing inline payload support for Amazon SageMaker AI Async Inference. Customers can now send inference payloads directly in the request body of the InvokeEndpointAsync…
Today, Quick gets even more powerful: new autonomous agents that work continuously on your behalf, an activity feed that helps you prioritize your most important work,…