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American Express | part of Artificial Intelligence in Practice: How 50 Successful Companies Used AI and Machine Learning to Solve Problems | Wiley AI books | IEEE Xplore

Chapter Abstract:

Summary American Express handles more than 25% of US credit card spending, accounting for $1.1 trillion of transactions in 2017, and is the world's most valuable financia...Show More

Chapter Abstract:

Summary

American Express handles more than 25% of US credit card spending, accounting for $1.1 trillion of transactions in 2017, and is the world's most valuable financial services brand according to Forbes. The company puts data and analytics, driven by machine learning, at the heart of everything it does; however, two of its key use cases are detecting fraud and improving customer experience. Banks and other financial institutions such as card issuers and insurers have always used patterns presented in historical data to attempt to detect fraud. American Express has built artificial intelligence systems that are able to read in data from card transactions around the world in real time as they happen. American Express's fraud detection systems used a combination of supervised and unsupervised learning techniques to become increasingly efficient at raising flags when data indicative of is fraudulent transactions encountered.

Page(s): 204 - 209
Copyright Year: 2019
Edition: 1
ISBN Information:

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