Danny Fong: Big Data and Machine Learning in the Credit Scoring Industry | Big Data Talks #13

Welcome to our next episode of Big Data Talks, in which we have conversations with Industry Experts about the way in which data, machine learning and artificial intelligence are changing the way we live. My name is Jan-Willem Middelburg, and I will be your host today. I am the author of the Enterprise Big Data Framework, which is hosting this series of Big Data Talks. You can always watch back the recording of this discussion on YouTube, the Big Data Framework Website, and the podcasting platform on Apple Podcasts.

In this video, we’ll explore how big data, machine learning, and AI are being used to revolutionize the credit scoring process. We will talk to Mr. Danny Fong, the Senior General Manager at CTOS Data Systems Sdn Bhd, Malaysia’s leading Credit Reporting Agency.

Danny Fong is an experienced executive and an expert specialist in Team Leadership, Account Management, Sales Management, Business Development, Business Intelligence (BI), Strategic Planning, Leadership, Cross-functional Team Leadership, Management, Business Strategy. He holds a Bachelor of Science in Mechanical Engineering from Iowa State University. We will take a deep dive into the way in which Big Data and AI are changing the ‘traditional’ credit scoring industry.

Traditionally, credit scores were determined by manually analyzing a borrower’s credit report and financial history. However, with the advent of big data, it’s now possible to process vast amounts of information on individuals in seconds. This allows for a more comprehensive analysis of a borrower’s creditworthiness. In the webinar, we discuss the use of big data, machine learning, and AI in credit scoring is helping to make the process more efficient and accurate. It’s also making it easier for borrowers to access the credit they need to achieve their financial goals.