After the financial meltdown of the last decade, many lenders have found themselves in a tough situation where they cannot use the conventional underwriting guidelines to identify enough “good borrowers” to whom they can lend money. AI & ML are changing the way credit has been assessed and is allowing vendors to look for new credit approval metrics such as purchasing history, bank data, or social media habits. Harnessing this technology to better forecast defaults.
Effective fraud detection and financial control initiatives leverage advanced analytics and machine learning techniques to derive valuable and actionable information for managers. Today’s enterprises churn out humongous volumes of data but are still unable to use most of that data in its raw form. The task of acquiring, cleansing, shaping, and bending the raw operational data for analytics or other business purposes is known as data preparation.