Machine Learning - eBook (EN)

7 Leading Machine Learning Use Cases

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Here are some specific questions to consider when evaluating infrastructure: EULER HOMES "With administrative and financial data of more than 30 million companies, it can be challenging to detect cyber fraud before it impacts business operations. (Using Amazon SageMaker,) we were able to launch a new internal service in seven months and can now identify URL squatting fraud within 24 hours." Luis Leon, IT Innovation Advisor VACASA "We're excited about the introduction of Amazon Fraud Detector because it means we can more easily use advanced machine learning techniques to accurately detect fraudulent (vacation) reservations. Protecting our 'front door' from potential harm enables us to focus on making the vacation rental experience seamless and worry-free." Eric Breon, Founder and CEO 7 Make it easy to identify potential fraudulent online activities Around the globe, billions of dollars are lost each year to online fraud. 3 Many applications that are designed to protect against potential online fraud rely on business rules that are not keeping pace with the ever- changing tactics of bad actors. Fraud detection is a good application for machine learning for three primary reasons. First, it addresses a problem that's rich in data and can benefit from pattern identification within datasets. Second, it can achieve results that are nearly impossible to accomplish through human input alone. Finally, these results are easily quantifiable in financial terms, which can help foster executive buy-in for machine learning across the organization. Amazon Fraud Detector leverages machine learning and more than 20 years of fraud detection expertise from Amazon to catch more potential online fraud faster and easier. It puts your data at the center of your solution and makes it simpler to identify and prevent fraud—with no prior machine learning experience necessary. For fraud detection, Amazon SageMaker offers built-in algorithms, such as Random Cut Forest and XGBoost, and hundreds of algorithms and pre- trained models available through the AWS Marketplace, allowing you to develop fraud detection solutions in days. Learn more › 3 https://www.javelinstrategy.com/coverage-area/2019-identity-fraud-report- fraudsters-seek-new-targets-and-victims-bear-brunt Ideal for E-Commerce, Finance, Retail 10

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