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Artificial Intelligence and Financial Services

Artificial Intelligence and Financial Services

Micah Willbrand

Micah Willbrand Product Director ID&F at Experian UK&I

The rise of machine learning in fraud detection

Fraudulent applications present a significant risk to a businesses’ success and reputation. As criminals become more sophisticated in targeting credit cards, loans, current accounts and other financial products, its critical lenders and other organisations ensure their fraud prevention systems are fit for purpose. One of the ways businesses can me...

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Retired Member

Retired Member 

Using Artificial Intelligence to strength your identity check processes

There’s not much you can’t get on the dark web; it’s a lawless haven for cybercriminals. As businesses continue to utilise increasingly stringent identity checks, fraudsters will always be trying to get one step ahead. Currently on sale on the dark web are passport scans. For just £55 you can get a typical passport scan with accompanying selfie. I...

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Mark Goldspink

Mark Goldspink CEO at The ai Corporation

Hitting the streets. Why fighting fraud is not just about sitting in an office

Fraud has reached the highest levels on record, affecting more organizations than ever. The scale of the problem was revealed in last year’s PWC Global Economic Crime and Fraud Survey. Of the 7,228 businesses contacted by PwC, across 123 territories, 49 percent reported that they had experienced fraud or economic crime, over a two-year period. Mod...

/ai /security

Retired Member

Retired Member 

Inverting the Alternative Data Pyramid

Integrating alternative data into the investment process is the future of portfolio management, yet the practice of identifying valuable, non-traditional data sets is age old. Some call it fundamental analysis, like interviewing customers about a company’s product. Others call it plain smarts, like using satellite imagery to measure crop yields ...

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Sray Agarwal

Sray Agarwal Specialist - AI and ML at Publicis Sapient

Fair AI: How to Detect and Remove Bias from Financial Services AI Models

Artificial intelligence (AI) and machine learning (ML) promise a smarter, more automated future for everyone. But the algorithms that underpin these technologies are at risk of bias, a substantial threat that could undermine their entire purpose. What exactly is AI bias, why is it important for financial services (FS) firms to avoid it and how can ...

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