Category: Amazon CloudWatch

This post demonstrates on Massive Multitask Language Understanding (MMLU) [Hendrycks et al., 2021], an open-source multiple-choice benchmark accessible via Hugging Face Hub, selecting four business-relevant subjects.

This guide walks one agent through all six pillars: a Parts Inventory Agent for an automotive manufacturing plant.

In this post, we demonstrate how a large North American Utility is currently running a multi-agent AI architecture on Amazon Bedrock AgentCore to compress alarm triage from hours to minutes, avoiding the manual, multi-system investigation that operators perform dozens of times per shift. We will walk through the industry problem, the multi-agent design, and a reference implementation on GitHub that you can deploy into your own environment.

In this blog, we provide a practitioner-focused guide for enabling a new AWS Region in a financial services enterprise AWS environment. We walk through each workstream, from initial governance approval through networking, security, operations, and workload readiness, highlighting the considerations, dependencies, and common pitfalls that teams encounter.

Retailers have always stubbed their toes on early technology adoption—from scanned product barcodes ringing up at the wrong price, to self-checkout lanes that created more shrink than savings, to ecommerce platforms that oversold products they couldn’t ship. But every time, the retailers who learned to master the technology, instead of abandoning it, were the ones who pulled ahead. AI agents are no different.

Axel Springer is a family-owned transatlantic media company focused on publishing (including BILD, BUSINESS INSIDER, POLITICO, and WELT) and commerce (including Idealo, Bonial, and Awin). Axel Springer aims to become the leading provider of digital and AI-supported journalism in the free world. Axel Springer Tech is the company’s technology organization, building and operating technology products […]

Learn how to architect an end-to-end pipeline that processes surgical video at the edge for de-identification, instrument detection, and surgical phase recognition—while using the cloud for model training and fleet management.

In this post, we show how a multi-agent AI system built on Amazon Bedrock can accelerate the MLR process. A fleet of specialized AI agents running on Amazon Bedrock AgentCore collaborates to cross-check content against scientific literature, style guides, regulatory codes, and pre-approved claims.

In this post, we show how BridgeWise was able to overcome these challenges when developing their wealth AI platform with responsible AI in mind. BridgeWise is a global leader in AI for wealth.

This blog post shows you how to design an architecture that receives CME Group MDP multicast data on AWS, then deploy and configure the solution with setup steps.