Remove use-cases manual-fraud-review-and-detection
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Real-time fraud detection using AWS serverless and machine learning services

AWS Machine Learning

Online fraud has a widespread impact on businesses and requires an effective end-to-end strategy to detect and prevent new account fraud and account takeovers, and stop suspicious payment transactions. Detecting fraud closer to the time of fraud occurrence is key to the success of a fraud detection and prevention system.

APIs 116
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Automate document validation and fraud detection in the mortgage underwriting process using AWS AI services: Part 1

AWS Machine Learning

In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. These fraud attempts can be challenging for mortgage lenders to capture.

APIs 72
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Overcome the machine learning cold start challenge in fraud detection using Amazon Fraud Detector

AWS Machine Learning

As more businesses increase their online presence to serve their customers better, new fraud patterns are constantly emerging. Traditional rule-based fraud detection systems are capped in their ability to quickly iterate as they rely on predefined rules and thresholds to flag potentially fraudulent activity.

APIs 74
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AI in Insurance – How is Artificial Intelligence Impacting the Insurance Sector?

JustCall

It can even predict fraud with remarkable precision resulting in enhanced security. In this article, we will explore the impact of AI in the insurance industry, its benefits, use cases, and the future it holds. It ensures customer satisfaction and enables insurers to focus on more complex cases.

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Contact Center AI: How It Can Transform Your CX

Playvox

Some of the most common uses of AI have been game changers: Virtual assistants like Siri guiding us on our way and finding information in an instant Fraud detection from our financial institutions Medical diagnoses and healthcare Contact centers are no exception and stand to gain significant business and operational benefits from AI.

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Intelligent document processing with AWS AI services in the insurance industry: Part 1

AWS Machine Learning

This two-part series highlights the AWS AI technologies that insurance companies can use to speed up their business processes. These AI technologies can be used across insurance use cases such as claims, underwriting, customer correspondence, contracts, or handling disputes resolutions. Solution overview.

APIs 85
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Cloud Contact Centers: 5 Considerations for IT

Upstream Works

Most contact centers have good reasons to keep using their premise-based systems, especially those with complex integrations that tie everything together. Cloud opens up many possibilities for automation that simplifies complex tasks and reduces manual work. Cloud Flexibility. Cloud migration is not an either-or scenario for IT.