blog_posts: 2a11d0f066
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#18-16294 | 2022-06-10 17:13:28 | How public sector agencies can identify improper payments with machine learning | https://aws.amazon.com/blogs/publicsector/how-public-sector-agencies-identify-improper-payments-machine-learning/ | To mitigate synthetic fraud, government agencies should consider complementing their rules-based improper payment detection systems with machine learning (ML) techniques. By using ML on a large number of disparate but related data sources, including social media, agencies can formulate a more comprehensive risk score for each individual or transaction to help investigators identify improper payments efficiently. In this blog post, we provide a foundational reference architecture for an ML-powered improper payment detection solution using AWS ML services. | https://d2908q01vomqb2.cloudfront.net/9e6a55b6b4563e652a23be9d623ca5055c356940/2022/06/10/public-sector-agencies-detect-fraud-machine-learning-featured.jpg | 2a11d0f066 | Sanjeev Pulapaka, Nate Haynes, Sherry Ding, Vladi Royzman | 2022-06-10 17:15:42 | 10 Jun 2022 |
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