Author: Antje Barth

I’ve just returned from data and machine learning (ML) conferences in Los Angeles and San Francisco, California. It’s been great to chat with customers and developers about the latest technology trends and use cases. This past week has also been packed with launches at AWS. Last Week’s Launches Here are some launches that got my […]

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 […]

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, […]

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 […]

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 […]

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! Here we are with another roundup of the most significant AWS launches from the previous week. Among the news, we have a new deployment option for Amazon FSx for NetApp […]

As a woman working in information technology (IT) for many years, it has always been close to my heart to challenge long-standing gender stereotypes and inspire more young learners to consider a career in tech. With artificial intelligence (AI) and machine learning (ML) defining the future of technology, this future also depends on diverse representation. […]

Our mission at AWS is to make machine learning (ML) more accessible. Through many conversations over the past years, I learned about barriers that many ML beginners face. Existing ML environments are often too complex for beginners, or too limited to support modern ML experimentation. Beginners want to quickly start learning and not worry about […]