AWS News Blog

Julien Simon

Author: Julien Simon

As an Artificial Intelligence & Machine Learning Evangelist for EMEA, Julien focuses on helping developers and enterprises bring their ideas to life.

New – Amazon SageMaker Clarify Detects Bias and Increases the Transparency of Machine Learning Models

Today, I’m extremely happy to announce Amazon SageMaker Clarify, a new capability of Amazon SageMaker that helps customers detect bias in machine learning (ML) models, and increase transparency by helping explain model behavior to stakeholders and customers. As ML models are built by training algorithms that learn statistical patterns present in datasets, several questions immediately […]

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New – Profile Your Machine Learning Training Jobs With Amazon SageMaker Debugger

Today, I’m extremely happy to announce that Amazon SageMaker Debugger can now profile machine learning models, making it much easier to identify and fix training issues caused by hardware resource usage. Despite its impressive performance on a wide range of business problems, machine learning (ML) remains a bit of a mysterious topic. Getting things right […]

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New – Data Parallelism Library in Amazon SageMaker Simplifies Training on Large Datasets

Today, I’m particularly happy to announce that Amazon SageMaker now supports a new data parallelism library that makes it easier to train models on datasets that may be as large as hundreds or thousands of gigabytes. As data sets and models grow larger and more sophisticated, machine learning (ML) practitioners working on large distributed training […]

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Amazon SageMaker Simplifies Training Deep Learning Models With Billions of Parameters

Today, I’m extremely happy to announce that Amazon SageMaker simplifies the training of very large deep learning models that were previously difficult to train due to hardware limitations. In the last 10 years, a subset of machine learning named deep learning (DL) has taken the world by storm. Based on neural networks, DL algorithms have […]

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Starter Kit

Amazon Monitron, a Simple and Cost-Effective Service Enabling Predictive Maintenance

Today, I’m extremely happy to announce Amazon Monitron, a condition monitoring service that detects potential failures and allows user to track developing faults enabling you to implement predictive maintenance and reduce unplanned downtime. True story: A few months ago, I bought a new washing machine. As the delivery man was installing it in my basement, […]

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Amazon SageMaker Continues to Lead the Way in Machine Learning and Announces up to 18% Lower Prices on GPU Instances

Since 2006, Amazon Web Services (AWS) has been helping millions of customers build and manage their IT workloads. From startups to large enterprises to public sector, organizations of all sizes use our cloud computing services to reach unprecedented levels of security, resiliency, and scalability. Every day, they’re able to experiment, innovate, and deploy to production […]

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Amazon Transcribe Now Supports Automatic Language Identification

In 2017, we launched Amazon Transcribe, an automatic speech recognition service that makes it easy for developers to add a speech-to-text capability to their applications. Since then, we added support for more languages, enabling customers globally to transcribe audio recordings in 31 languages, including 6 in real-time. A popular use case for Amazon Transcribe is transcribing […]

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Running containers

Amazon ECS Now Supports EC2 Inf1 Instances

As machine learning and deep learning models become more sophisticated, hardware acceleration is increasingly required to deliver fast predictions at high throughput. Today, we’re very happy to announce that AWS customers can now use the Amazon EC2 Inf1 instances on Amazon Elastic Container Service (ECS), for high performance and the lowest prediction cost in the […]

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