Publications
AI FAQS: The Data Science of Explainability
This fourth edition of our FAQs focuses on emerging techniques to explain complex models and builds on prior FAQs that covered the use of AI in financial services and the importance of model transparency and explainability in the context of machine learning credit underwriting models.
Speaking Engagements & Conferences
Using Technology to Improve Small Business Access to Credit
www.fdic.govSpeaking Engagements & Conferences
Expanding the Credit Box – Safely, Accurately and by Putting the Consumer First
aire.ioSpeaking Engagements & Conferences
Leveraging Customer Data Ethically to Advance Diversity, Equity, and Inclusion
finhealthnetwork.org
“AI adoption and data maturity within enterprises have seen significant growth in the past decade. With each passing day, new enterprise AI use cases come to life in more organizations and more industries.”
Speaking Engagements & Conferences
The Use of Artificial Intelligence and Alternative Data in Financial Services: Force for Inclusion?
ncrc.orgSpeaking Engagements & Conferences