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Fighting Retail Fraud with Personalization and Classification AI Tools@2x-min (2)

Fighting Retail Fraud with Personalization and Classification AI Tools – with Experts from Instacart, Etsy, and Gap Inc.

This article is sponsored by Riskified, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.

Playing Offense and Leveraging the Network Effect to Fight Retail Fraud@2x-min

Playing Offense and Leveraging the Network Effect to Fight Retail Fraud – with Asha Sharma of Instacart and Robert Bedetti of Riskified

This article is sponsored by Riskified, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.
The advent of the COVID-19 pandemic is leaving retail and eCommerce enterprises awash in numerous, often chaotic trends, many of which are proving critical for driving AI adoption throughout the industry. Perhaps most prominent among these market dynamics is an enormous shift to online retail.

AI for Fraud Detection in Retail

AI for Fraud Detection in Retail – 2 Powerful Use Cases

Leading retailers - like Walmart, Stop & Shop, and Home Depot - are enhancing their payment and fraud detection systems, using artificial intelligence that learns transaction norms and infers risk from the context of each transaction.

AI-Based Enterprise Search for Claims Processing and Fraud Detection

AI-Based Enterprise Search for Claims Processing and Fraud Detection

Large insurance companies have been experimenting with AI since the middle of the 2010s, piloting chatbots and collecting telematics data for future AI projects. The insurance industry more than many others relies on the collection of data to make critical business decisions.  Whether writing policies, or processing claims efficiently the way insurers employ data will determine the lifetime value of the customer.  

How to Deploy AI for Fraud Detection in Financial Services

How to Deploy AI for Fraud Detection in Financial Services

Fraud, money laundering, and other cyber crimes often increase in times of economic strife, and the pandemic is no different. In light of the coronavirus crisis, we believe that fraud detection applications are among the AI use-cases that are most likely to be adopted and deployed even when funds dry up for other kinds of more long-term, strategic innovation investments.