How machine learning and financial technology are transforming the lending sector

The lending ecosystem around the world has been at the centre of significant changes in the last decade. From financial technology disrupting the financial services sector industry with highly efficient and cost-effective processes, to stringent regulations following the 2008 global financial crisis, the growing technological intervention has played a significant role in the rapid evolution of the lending industry. One such technology is machine learning which has begun to create new and highly promising avenues in the lending market. Machine learning is a Predictive Model Algorithm that develops Artificial Intelligence around large sets of data through different predictive statistical techniques (such as Logistic Regression, Random Forest, Decision Tree etc.) and imparts decisions/insights based on the data it processes. Machines can be taught to identify any form of data which is stored electronically such as texts, images, speech, etc. and analyse by the machine through such algorithms to identify behaviours, patterns etc. and generate similar predictions when imposed on a new dataset. Fintech companies are increasingly augmenting the applications of machine learning algorithms in their operations to build efficient and effective systems.