AWS Startups Blog

Category: SageMaker

How Auris leveraged AWS SageMaker to help marketers with machine learning

When we started GenY Labs a couple of years ago, infrastructure was one of the biggest challenges for us. It wasn’t easy to find machine learning-tuned hardware. Even if we did identify an infrastructure service provider, the challenge was the ability to change the algorithm on their platform. With ambition and fire in the belly, our team at GenY Labs set out to solve this problem.

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Periscope Data Builds ML Solution With Amazon Sagemaker to Provide Customers with a Better Picture of the World

When it comes to transforming floods of raw data into clear, decisive business intelligence, Periscope Data remains on the cutting edge. To keep their commitment to their consumers, Periscope Data has developed a machine learning solution that leverages Amazon SageMaker as a core part of its machine learning workflow.

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Fiverr Relies on SageMaker to Streamline and Simplify Machine Learning Models

When it came time for Fiverr to analyze the data around user behavior on its platform, the freelance services website did what many modern businesses do in terms of recruiting the right tool for the task: they engaged Amazon Web Services’s SageMaker. Amazon SageMaker is an API that enables developers and data scientists to readily build, teach, and position machine learning models to serve any need and at any scale.

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The Smallpdf team at their offices in Zurich, Switzerland.

How to run a world-class website with a DevOps team of two

At last count, Smallpdf, the PDF conversion startup I work for, had roughly 13 million monthly users. As for the number of employees currently running our website? That would be 10—with only two employees focused on the backend and infrastructure. You might be curious to learn how we run such a processing intensive website with such a small DevOps team. Our little secret stands in automation and delegation.

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