AWS Startups Blog

Tag: Machine Learning

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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Machine learning on limit order book data for surveillance and compliance

There are two key types of market participants; those who are trying to make money from the markets and those who are assigned to police those trying to make money. Examples of the former type include investment banks, hedge funds and asset managers, while examples of the latter includes in-house compliance, financial regulators and exchange surveillance teams.

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João Menano on Expanding Credit Opportunities with AI

James CEO João Menano on expanding credit opportunities with AI

Assigning credit risk to people who apply for business loans, credit cards, and home mortgages has mostly been done by weighing some 10 or 20 attributes. Take those attributes—and we’re all familiar with some of the things that make our credit scores rise and fall, including timeliness of payments, debt to income ratio, and defaults—and crank them through your favorite logistic regression model or scorecard. The result is your assigned credit risk, and depending on the number, you either get your loan or you don’t.

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