2024 AI Acumen in Housing Finance

This week marks the exciting launch of your journey into the world of data science applied to the housing finance industry! We'll get you oriented to the LWDS course structure and introduce you to the key datasets you'll be working with throughout the program. We'll also guide you through obtaining the necessary licenses to access the powerful Polygon applications and dashboards. By the end of the week, you'll be logged in, comfortable navigating the dashboards, and ready to dive deeper in the following week.

This week's session is designed to give you a foundational understanding of the housing finance industry, focusing on mortgage banking processes and terminology. We'll approach this with a data-driven mindset, setting the stage for using data to analyze and understand these processes throughout the LWDS course.

In week 3, we'll dive into the data science landscape to learn about the alignment problem and the rise of AI/ML technologies. We'll explore the data science lifecycle, understand the three main types of machine learning, and discover the latest AI/ML trends shaping the future of lending. You'll get acquainted with the current state of Large Language Models (LLMs) in the housing industry and their implications for data-driven decision-making.

In week 4, you'll continue to engage with interactive data exploration concepts such as data visualization, filtering, and sorting, while also learning how to define market boundaries and understand geography at a granular level. We'll present real-world scenarios in the housing industry where you'll be able to test the use of dashboards to better identify and analyze market trends. This is a crucial skill in the housing finance industry, as it enables you to effectively target your marketing efforts, allocate resources, and make data-driven decisions.

This week's session puts data science tools directly in your hands as you explore market efficiency and competitive analysis within the housing finance industry. You'll utilize interactive dashboards to identify market peers, solve geographic targeting challenges, and uncover hidden market opportunities. Interactive charts and maps will reveal where specific peer groups excel, allowing you to analyze their winning strategies using both pre-determined and self-defined peer categories. This session is designed to sharpen your data interpretation and strategic communication skills as you prepare for real-world project applications within the housing finance sector.

In Week 6, we'll explore how fairness and transparency are becoming increasingly important in the mortgage lending industry. We'll look at key datasets that help ensure fair lending practices. To understand this data better, we'll use interactive dashboards that will allow us to analyze trends and patterns. We'll also discuss how fair lending is no longer just about following regulations, but is now a vital part of everyday business operations. Finally, we'll delve into the emerging field of Generative AI and its potential impact on fair lending practices and how it might change how we approach compliance in the future.

In this final week of the course, discover how data analysis can reveal the ins and outs of loan servicing. We'll explore key servicing datasets and demonstrate how to extract valuable information about loan characteristics, performance, and potential risks. Get ready to see the power of data-driven decision-making in the servicing function.