Finance and Financial Management Commons^™

Session 5: Equipment Finance Credit Risk Modeling - A Case Study In Creative Model Development & Nimble Data Engineering, Edward Krueger, Landon Thompson, Josh Moore

SDSU Data Science Symposium

This presentation will focus first on providing an overview of Channel and the Risk Analytics team that performed this case study. Given that context, we’ll then dive into our approach for building the modeling development data set, techniques and tools used to develop and implement the model into a production environment, and some of the challenges faced upon launch. Then, the presentation will pivot to the data engineering pipeline. During this portion, we will explore the application process and what happens to the data we collect. This will include how we extract & store the data along with how it …

Session 12 - Finance: Bias In, Bias Out? How To Fight Biases In Ai And Create Trust, Gerald Fahner

SDSU Data Science Symposium

Alarming headlines appear at an increasing rate about ‘biased AI’ leading to nontransparent decisions, discrimination and lack of trust.

Newcomers to AI application development are confronted with (and often struggle with) multiple traps that can inadvertently lead to biased and unreasonable automated decisions. By comparison, credit score developers have decades of experience in the “art and science” of mitigating biases through transparent and credible models and decisions that provide benefits to all stakeholders while complying with fair lending regulations.

In this presentation you will learn about traps to be avoided and get our unique perspective on how to achieve comprehension …