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University of Kentucky Fraud Prevention with Machine Learning Discussion

 

Written report: A 1,000+ word report with the following elements:

A brief description of the problem.

A discussion of the various projects in the market that are trying to solve the problem.

Pick any area of fintech, such as:

Digital walletsIoT/machine learning to underwrite insurance

Using alternative data to underwrite business or consumer creditSelf-sovereign identity

Fraud prevention with machine learning

Nudges for personal finance

Enterprise blockchain

Decentralized services

Software-based currencyRobo Advising

Identify a specific problem within your selected area and research the companies who are trying to solve the problem. Select which company you think is most likely to succeed – this could be based on the technology, business model, competitive environment, or other reasons.