AWS Machine Learning Blog

Category: Kinesis Data Firehose

Redact sensitive data from streaming data in near-real time using Amazon Comprehend and Amazon Kinesis Data Firehose

Near-real-time delivery of data and insights enable businesses to rapidly respond to their customers’ needs. Real-time data can come from a variety of sources, including social media, IoT devices, infrastructure monitoring, call center monitoring, and more. Due to the breadth and depth of data being ingested from multiple sources, businesses look for solutions to protect […]

Automate a shared bikes and scooters classification model with Amazon SageMaker Autopilot

Amazon SageMaker Autopilot makes it possible for organizations to quickly build and deploy an end-to-end machine learning (ML) model and inference pipeline with just a few lines of code or even without any code at all with Amazon SageMaker Studio. Autopilot offloads the heavy lifting of configuring infrastructure and the time it takes to build […]

How Intel Olympic Technology Group built a smart coaching SaaS application by deploying pose estimation models – Part 1

The Intel Olympic Technology Group (OTG), a division within Intel focused on bringing cutting-edge technology to Olympic athletes, collaborated with AWS Machine Learning Professional Services (MLPS) to build a smart coaching software as a service (SaaS) application using computer vision (CV)-based pose estimation models. Pose estimation is a class of machine learning (ML) model that […]