Social Media Ideas for Amazon Rekognition

Agentic vision: Building visual intelligence with Amazon Bedrock and MCP servers

In this post, we walk you through the Computer Vision MCP Server, which illustrates this approach, representing how AI systems can process visual information and make intelligent d...

Automatically redact PII in images with Amazon Nova

In this post, we present a multi-step pipeline directed by Amazon Nova, which uses its contextual vision reasoning to coordinate complementary tools, including Meta’s open-source S...

Real-time dental image verification with Amazon SageMaker AI at Henry Schein One

This post describes how Henry Schein One closed that gap by building Image Verify, an AI-powered quality verification system on Amazon SageMaker AI that evaluates dental X-ray qual...

Real-Time Face Recognition Using OpenCV, Dlib, and Python

Face recognition has become one of the most widely used applications of artificial intelligence and computer vision. From smartphone authentication and smart surveillance systems t...

How Jumio built a real-time feature store on AWS

Learn how Jumio built a centralized, real-time feature store on AWS with Amazon SageMaker Feature Store, Amazon Managed Service for Apache Flink, and Amazon Kinesis Data Streams. T...

AI-powered incident analysis for Amazon RDS using automated forensic artifacts

In this post, we demonstrate a serverless approach to continuous forensic artifact collection for Amazon RDS and Amazon Aurora databases. By capturing point-in-time snapshots of da...

Introducing the Amazon GuardDuty investigation agent: on-demand AI-powered threat assessment

The new Amazon GuardDuty investigation agent (now in public preview) investigates security findings across your Amazon Web Services (AWS) environment, reducing investigation time f...

Hidden Airtag reveals Amazon is trashing rare books to train AI

Amazon’s team uses a T. rex preparing to devour a book as its logo.

How Pixieset achieved 35% AI feature adoption by solving the right problem with Amazon Bedrock

Photographers are among the most skeptical audiences for generative AI. Learn how Pixieset used Amazon Bedrock to launch an AI-generated alt text feature to millions of users in fo...

Announcing the Agentic Catalog Experience in Amazon Quick

Amazon Quick introduces the Agentic Catalog Experience, an AI-powered workflow for data curators to discover upstream catalog assets in natural language and auto-create Datasets an...

NIX United Achieves AWS AI Competency After Rigorous Audit

AI-enabled software development company NIX United has officially achieved the AWS AI Competency designation from Amazon Web Services (AWS). The recognition validates NIX's proven...

OpenEye announces AI Visual Check

OpenEye has announced the launch of OpenEye Web Services (OWS) that aids companies in saving time, reducing expenses and optimising operations. According to the company, OWS automa...

Amazon Quick for Microsoft 365: Agentic AI where you work

Amazon Quick is now available directly inside Microsoft Word, Excel, PowerPoint, and Outlook. These extensions bring connected data access and agentic document editing into the Mic...

Vadzo Positions Onsemi AR0521 Based Falcon-521CRS Face Recognition Kiosk Camera for Fast Identity Matching and Contactle...

Vadzo Imaging launches the Falcon-521CRS, aface recognition kiosk camera built on the Onsemi AR0521 sensor, delivering 5MP resolution, low read noise, high sensitivity color imagin...

Launching UI for generative AI inference recommendations in Amazon SageMaker AI

In this post, we introduce the UI for optimized generative AI inference recommendations in Amazon SageMaker AI Studio, a low-code no-code (LCNC) experience. The API already gives y...

Inference meta-monitoring for Amazon SageMaker AI endpoints with Amazon Quick

Learn how to build an inference meta-monitoring system for Amazon SageMaker AI endpoints using Amazon Quick. This governance layer sits above production ML inference pipelines to c...

Amazon: AWS Must Justify The AI Bill

Smarsh and AWS Target the Governance Gap in AI-Powered Surveillance

Smarsh recently reported what it describes as breakthrough results from its collaboration with Amazon Web Services (AWS), including a 77% reduction in compliance review workload at...

Ottawa police moving forward with first phase of AI facial recognition

On June 24, the Ottawa Police Service announced it would be extending the pilot of their body-worn camera program through AI tools.

M**a показала детектор её собственного ИИ-контента

M**a ведёт разработку средства идентификации изображений и видео, созданных с помощью генератора картинок Muse Image. Компания продемонстрировала предварительную версию веб-приложе...

Build interactive PDF text extraction from Amazon S3

In this post, you’ll build a server that extracts text from PDF files in Amazon S3 in real time. This protocol-based approach provides programmatic document access. You’ll walk thr...

Meet Amazon Quick For Legal

Just when you wondered who else among the tech giants would cover legal, it turns out that the ‘Everything Store’ has an ‘Amazon Quick For ...

Pair Nova 2 Lite with Claude for cost-optimized document processing

In this post, we show how pairing Amazon Nova 2 Lite with Anthropic’s Claude Sonnet 4.6 delivers an efficient solution for digitizing scanned documents at scale. We built a two-mod...

How Inscribe uses Amazon Bedrock to stop document fraud in seconds

In this post, you will learn how Inscribe developed an agentic AI system using Amazon Bedrock that reasons across documents the way an expert fraud analyst would. With this new age...