Fintech Needs To Stop Tinkering At The Edges Of Big Data

Douglas Merrill, the CEO of ZestFinance, writes in Forbes that more data for making an underwriting decision is usually better; but if this data is fed into a traditional underwriting model, using logistic regression, it will not do much good; instead Merrill writes, “Lenders can make far more accurate predictions by loading all of that new data (along with the mountain of data they already have) into a machine learning model that uses hundreds of variables to make trillions of calculations to produce a better decision”; he also reminds us that no model is recession proof but machine learning models using huge amounts of data can at least act as an early warning system for an economic downturn. Source.

Peter Renton is the chairman and co-founder of LendIt Fintech, the world’s first and largest digital media and events company focused on fintech.

LendIt Fintech conducts three conferences a year for the leading fintech markets of the USA, Europe, and Latin America. LendIt also provides cutting-edge content all year long via audio, video, and written channels.

Peter has been writing about fintech since 2010 and he is the author and creator of the Fintech One-on-One Podcast, the first and longest-running fintech interview series.

Peter has been interviewed by the Wall Street Journal, Bloomberg, The New York Times, CNBC, CNN, Fortune, NPR, Fox Business News, the Financial Times, and dozens of other publications.

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