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.

Paging Doctor Cloud! Amazon HealthLake Is Now Generally Available

At AWS re:Invent 2020, we previewed Amazon HealthLake, a fully managed, HIPAA-eligible service that allows healthcare and life sciences customers to aggregate their health information from different silos and formats into a structured, centralized AWS data lake, and extract insights from that data with analytics and machine learning (ML). Today, I’m very happy to announce […]

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Amazon SageMaker Named as the Outright Leader in Enterprise MLOps Platforms

Over the last few years, Machine Learning (ML) has proven its worth in helping organizations increase efficiency and foster innovation. As ML matures, the focus naturally shifts from experimentation to production. ML processes need to be streamlined, standardized, and automated to build, train, deploy, and manage models in a consistent and reliable way. Perennial IT […]

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Incident Manager

Resolve IT Incidents Faster with Incident Manager, a New Capability of AWS Systems Manager

IT engineers pride themselves on the skill and care they put into building applications and infrastructure. However, as much as we all hate to admit it, there is no such thing as 100% uptime. Everything will fail at some point, often at the worst possible time, leading to many a ruined evening, birthday party, or […]

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Decrease Your Machine Learning Costs with Instance Price Reductions and Savings Plans for Amazon SageMaker

Launched at AWS re:Invent 2017, Amazon SageMaker is a fully-managed service that has already helped tens of thousands of customers quickly build and deploy their machine learning (ML) workflows on AWS. To help them get the most ML bang for their buck, we’ve added a string of cost-optimization services and capabilities, such as Managed Spot […]

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Troubleshoot Boot and Networking Issues with New EC2 Serial Console

Fixing production issues is one of the key responsibilities of system and network administrators. In fact, I’ve always found it to be one of the most interesting parts of infrastructure engineering. Diving as deep as needed into the problem at hand, not only do you (eventually) have the satisfaction of solving the issue, you also […]

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Amazon SageMaker JumpStart Simplifies Access to Pre-built Models and Machine Learning Solutions

Today, I’m extremely happy to announce the availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that accelerates your machine learning workflows with one-click access to popular model collections (also known as “model zoos”), and to end-to-end solutions that solve common use cases. In recent years, machine learning (ML) has proven to be a […]

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New – Amazon SageMaker Pipelines Brings DevOps Capabilities to your Machine Learning Projects

Today, I’m extremely happy to announce Amazon SageMaker Pipelines, a new capability of Amazon SageMaker that makes it easy for data scientists and engineers to build, automate, and scale end to end machine learning pipelines. Machine learning (ML) is intrinsically experimental and unpredictable in nature. You spend days or weeks exploring and processing data in […]

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Introducing Amazon SageMaker Data Wrangler, a Visual Interface to Prepare Data for Machine Learning

Today, I’m extremely happy to announce Amazon SageMaker Data Wrangler, a new capability of Amazon SageMaker that makes it faster for data scientists and engineers to prepare data for machine learning (ML) applications by using a visual interface. Whenever I ask a group of data scientists and ML engineers how much time they actually spend […]

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