According to the Federal Reserve, nearly 40% of adults in the U.S. sought credit in 2020, only slightly fewer than those who applied in the previous pre-pandemic year; among those who applied more than 1 in 10 were denied credit or were approved for less than they had sought. The reasons behind these denials are […]

The vast majority of the equities market trades electronically while the bond market is still in its infancy by comparison, but MarketAxess is seeking to change that. Recently, we hosted a virtual event with the MarketAxess team where they explained how they were solving challenges in the world’s largest bond marketplace while leveraging AI and […]

Liqui.do is a technological and innovative company developing a platform for leasing equipment for small and medium enterprises. As part of its business to provide a variety of credit options for companies that want to finance capital purchases, Liqui.do needs to rapidly and accurately assess the credit risk and scoring of a customer in order […]

The current global pandemic crisis presents various challenges to businesses in all industries, including financial services institutions, who are monitoring and dealing with the effects of COVID-19 across the world. At a time of a pandemic, it is important that teams get together to share their insights and experience, with the goal of inspiring and […]

The number of transactions using electronic financial instruments has been increasing by about 23% year over year. The global COVID-19 pandemic has only accelerated that process. Electronic means have become the primary vehicle of how people purchase their goods. With this sudden increase in transactions, fraud detection systems are stressed. They need to be much […]

This month, we hosted a virtual panel with industry leaders and explainable AI experts from Discover, BLDS, and H2O.ai to discuss the considerations in using machine learning to expand access to credit fairly and transparently and the challenges of governance and regulatory compliance. The event was moderated by Sri Ambati, Founder and CEO at H2O.ai. […]

Note: Dr. Ashrith Barthur (Principal Security Scientist, H2O.ai) and Sandip Sharma (Director of Solution Engineering, H2O.ai) will be speaking about solving money laundering and other real-world problems using machine learning at our upcoming webinar. You can grab a spot here.    Artificial Intelligence has evolved from being a buzz word to a reality today. It […]

Determining credit has been done by traditional techniques for decades. The challenge with traditional credit underwriting is that it doesn’t take into account all of the various aspects or features of an individual’s credit ability.  Underwrite.ai, a new credit startup, saw this as an opportunity to apply machine learning and AI to improve credit lending […]

In the past two posts we’ve learned a little about interpretable machine learning in general. In this post, we will focus on how to accomplish interpretable machine learning using H2O Driverless AI. To review, the past two posts discussed: Exploratory data analysis (EDA) Accurate and interpretable models Global explanations Local explanations Model debugging and sensitivity analysis Fairness […]

Explaining AI to the Business Person Welcome to part 2 of our blog series: What is Your AI Thinking? We will explore some of the most promising testing methods for enhancing trust in AI and machine learning models and systems. We will also cover the best practice of model documentation from a business and regulatory […]