Credit Eco to Go: Machine Learning—The Alternative Fuel for Financial Services

Editor's note: This podcast episode is provided through an exclusive industry partnership between insideARM and Clark Hill, PLC. Podcast host Joann Needleman, a leading financial services attorney and member of the iA Legal Advisory Board, provides bite-sized hot topics in the consumer finance space. ClarkHIll content—and all insideARM articles—are protected by copyright. All rights are reserved.  

Show Notes: 

Data is driving the expansion of financial services. But how do you build data sets that are unique for each financial institution?

Scott Ferris, CEO of Attunely, Inc stops by Clark Hill’s Credit Eco to Go to dissect and demystify the world of big data. The goal is to achieve efficiency and effectiveness by giving machines access to the data so they can learn for themselves.

Scott reminds us that data cannot solve every problem but historical data is a good predictor of future consumer response. “The financial services industry is just going through the same evolution that other vertical industries have gone through” when it comes to the consumer experience. Ensuring that the data is used in the right way and for the benefit of the consumer will be the key. 

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