AWS Week In Review – July 25, 2022

A few weeks ago, we hosted the first EMEA AWS Heroes Summit in Milan, Italy. This past week, I had the privilege to join the Americas AWS Heroes Summit in Seattle, Washington, USA. Meeting with our community experts is always inspiring and a great opportunity to learn from each other. During the Summit, AWS Heroes Read more about AWS Week In Review – July 25, 2022[…]

New – Amazon SageMaker Ground Truth Now Supports Synthetic Data Generation

Today, I am happy to announce that you can now use Amazon SageMaker Ground Truth to generate labeled synthetic image data. Building machine learning (ML) models is an iterative process that, at a high level, starts with data collection and preparation, followed by model training and model deployment. And especially the first step, collecting large, Read more about New – Amazon SageMaker Ground Truth Now Supports Synthetic Data Generation[…]

AWS Week In Review – June 6, 2022

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! I’ve just come back from a long (extended) holiday weekend here in the US and I’m still catching up on all the AWS launches that happened this past week. I’m Read more about AWS Week In Review – June 6, 2022[…]

Amazon SageMaker Serverless Inference – Machine Learning Inference without Worrying about Servers

In December 2021, we introduced Amazon SageMaker Serverless Inference (in preview) as a new option in Amazon SageMaker to deploy machine learning (ML) models for inference without having to configure or manage the underlying infrastructure. Today, I’m happy to announce that Amazon SageMaker Serverless Inference is now generally available (GA). Different ML inference use cases Read more about Amazon SageMaker Serverless Inference – Machine Learning Inference without Worrying about Servers[…]

Automatically Detect Operational Issues in Lambda Functions with Amazon DevOps Guru for Serverless

Today we are announcing Amazon DevOps Guru for Serverless, a new capability for Amazon DevOps Guru. It allows developers to improve the operational performance and availability of serverless applications. AWS pioneered the serverless computing space with the launch of AWS Lambda in 2014. Today, hundreds of thousands of customers are using AWS Lambda. Lambda allows Read more about Automatically Detect Operational Issues in Lambda Functions with Amazon DevOps Guru for Serverless[…]

New for Amazon CodeGuru Reviewer – Detector Library and Security Detectors for Log-Injection Flaws

Amazon CodeGuru Reviewer is a developer tool that detects security vulnerabilities in your code and provides intelligent recommendations to improve code quality. For example, CodeGuru Reviewer introduced Security Detectors for Java and Python code to identify security risks from the top ten Open Web Application Security Project (OWASP) categories and follow security best practices for AWS Read more about New for Amazon CodeGuru Reviewer – Detector Library and Security Detectors for Log-Injection Flaws[…]

Announcing Fully Managed RStudio on Amazon SageMaker for Data Scientists

Two years ago, we introduced Amazon SageMaker Studio, the industry’s first fully integrated development environment (IDE) for machine learning (ML). Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps, improving data science team productivity by up to 10 times Many data scientists love the R project, an Read more about Announcing Fully Managed RStudio on Amazon SageMaker for Data Scientists[…]

Scaling Ad Verification with Machine Learning and AWS Inferentia

Amazon Advertising helps companies build their brand and connect with shoppers, through ads shown both within and beyond Amazon’s store, including websites, apps, and streaming TV content in more than 15 countries. Businesses or brands of all sizes including registered sellers, vendors, book vendors, Kindle Direct Publishing (KDP) authors, app developers, and agencies on Amazon Read more about Scaling Ad Verification with Machine Learning and AWS Inferentia[…]

Decoding the Social Effects Of Media with Machine Learning

What if media were optimized to benefit people? This thought-provoking question is at the core of Harmony Labs‘ mission. A nonprofit organization headquartered in New York City, Harmony Labs strives to better understand the impact of media on society, and build communities and tools to reform and transform media systems. As Brian Wanieswki, Executive Director Read more about Decoding the Social Effects Of Media with Machine Learning[…]

Extract Insights From Customer Conversations with Amazon Transcribe Call Analytics

In 2017, we launched Amazon Transcribe, an automatic speech recognition (ASR) service that makes it easy to add speech-to-text capabilities to any application. Today, I’m very happy to announce the availability of Amazon Transcribe Call Analytics, a new feature that lets you easily extract valuable insights from customer conversations with a single API call. Each Read more about Extract Insights From Customer Conversations with Amazon Transcribe Call Analytics[…]