Deep Learning in Banking

Preface

Now is not the time to simplify complex realities, but rather to make sense of complexity—to acknowledge nuance, perspectives, and the depth of global stories.

—Joumana El Zein Khoury

Executive Director

World Press Photo Foundation

For most of our careers, we have been fortunate to have built data science and, since the last decade, deep learning models across multiple fields. Although Cristián works mainly with financial institutions and regulators, María and Sebastián have been working on deploying varied AI solutions, in topics such as sleep research, customer service management, telecommunications, gaming, and a long list of applications. Banking was, however, the intersection of our work, which has led to many joint projects and publications for most of our careers. One thing that was common throughout these collaborations was that we needed a unified resource to direct our business partners and students towards. What we wanted was a one-stop shop, a single resource that discussed the challenges of working with unstructured data in banking and financial institutions, both in practical and regulatory terms, while also providing the theoretical background about the models and showed how to train these models with practical exercises.

During January 2024, coincidentally, the three of us met at the Faculty of Business and Economics at the University of Chile. Sebastián was working with María and Cristián and had been invited by Jaime Miranda, the director of the ...