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.

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 […]

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Narrative Observatory

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 […]

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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 […]

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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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