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Fraud teams need a secure, fast, and flexible transaction fraud detection solution to combat global fraudsters. Unlike many solutions on the market, Amazon Fraud Detector allows you to tailor your fraud detection efforts specifically to your data and business challenge while also bringing the latest in fraud detection machine learning
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Shared by AWS Machine Learning October 11, 2021
The SECI model relies on the terms Explicit and Tacit. If these terms are poorly understood, does the model still hold? I suggest an alternative model here. I blogged recently about the terms Tacit and Explicit, and how the understanding and interpretation of what these terms mean varies significantly across
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Shared by Nick Milton October 11, 2021
My life has always involved centering the voices of those historically marginalized in order to foster equitable communities. Growing up, I lived in a small suburb just outside of Cleveland, Ohio and I was fortunate enough to attend Laurel School, an all-girls school focused on encouraging young women to think
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Shared by Google AI Technology October 8, 2021
In Part 1 of this series, we showed how to build a brand detection solution using Amazon SageMaker Ground Truth and Amazon Rekognition Custom Labels. The solution was built on a serverless architecture with a custom user interface to identify a company brand or logo from video content and get
Read More Shared by AWS Machine Learning October 7, 2021
AWS customers are increasingly using computer vision (CV) models on large input payloads that can take a few minutes of processing time. For example, space technology companies work with a stream of high-resolution satellite imagery to detect particular objects of interest. Similarly, healthcare companies process high-resolution biomedical images or videos
Read More Shared by AWS Machine Learning October 6, 2021
From application forms, to identity documents, recent utility bills, and bank statements, many business processes today still rely on exchanging and analyzing human-readable documents—particularly in industries like financial services and law. In this post, we show how you can use Amazon SageMaker, an end-to-end platform for machine learning (ML), to
Read More Shared by AWS Machine Learning October 6, 2021
Over guacamole and corn chips at a party, a friend mentions that her favorite phone game uses augmented reality. Another friend points her phone at the host and shouts, “Watch out—a t-rex is sneaking up behind you.” Eager to join the conversation, you blurt, “My blender has an augmented reality
Read More Shared by Google AI Technology October 6, 2021
A continuous integration and continuous delivery (CI/CD) pipeline helps you automate steps in your machine learning (ML) applications such as data ingestion, data preparation, feature engineering, modeling training, and model deployment. A pipeline across multiple AWS accounts improves security, agility, and resilience because an AWS account provides a natural security
Read More Shared by AWS Machine Learning October 5, 2021
Social media platforms provide a channel of communication for consumers to talk about various products, including the medications they take. For pharmaceutical companies, monitoring and effectively tracking product performance provides customer feedback about the product, which is vital to maintaining and improving patient safety. However, when an unexpected medical occurrence
Read More Shared by AWS Machine Learning October 5, 2021
According to a recent study, defective products cost industries over $2 billion from 2012–2017. Defect detection within manufacturing is an important business use case, especially in high-value product industries like the automotive industry. This allows for early diagnosis of anomalies to improve production line efficacy and product quality, and saves
Read More Shared by AWS Machine Learning October 5, 2021
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