AI in Finance: Navigating the Future

A Two-Day Conference at Texas State University, San Marcos

Organized by The Python Quants and the Department of Finance & Economics at McCoy College of Business, Texas State University on April 26-27, 2024.

Attend in-person or online.


AI is one of the major forces that is transforming the financial industry as well as financial research and practice in a fundamental way. This conference sheds light on the different ways this is happening. Learn from practitioners and academics about the latest trends in AI applied to finance. Benefit from the numerous networking opportunities during this two-day conference.

Conference Objective

The conference aims to bring together leading practitioners and academics to discuss the latest advancements and future potential of AI in finance. It’s an opportunity to explore how AI-driven innovations are shaping financial research and the financial landscape as well as  what it means for academics, businesses, investors, and consumers.




The conference will be held at Texas State University, McCoy College of Business, in San Marcos, Texas. Attendees will be able to stay at hotels in Austin, Texas. Austin is known as the “Music capital of the World”. Austin is the state capital of Texas, an inland city bordering the Hill Country region. Its many parks and lakes are popular for hiking, biking, swimming, and boating. South of the city, Formula One’s Circuit of the Americas raceway has hosted the United States Grand Prix. Tech giants like Apple, Meta, Google, SpaceX, and Tesla have moved their headquarters and expanded operations within the area. The weather at the end of April is pleasant and it is usually the peak of the wildflower season. Transportation will be arranged to bring attendees to the conference venue from Austin.

Conference Highlights

Keynote Speeches

Prominent speakers from the industry and academia will deliver keynote addresses, offering insights into current trends, challenges, and opportunities in AI in finance.

Panel Discussions

Expert panels will delve into specific AI applications in finance, discussing ethical considerations, regulatory challenges, and future directions.


Researchers and practitioners will present their latest work, followed by Q&A sessions for in-depth discussions.

Networking Opportunities

Dedicated time slots for networking, enabling attendees to connect with experts, find potential collaborators, and discuss career opportunities.

Workshops and Tutorials

Hands-on sessions providing practical knowledge on specific AI tools and techniques used in finance.

Call for Proposals (CFP)

The CFP is open and we invite you to submit your proposal for a shorter talk, a regular one, or a short workshop.

Benefits of Attending

Learning and Development

Gain insights into the latest AI innovations in finance and how they can be applied in practice.


Meet industry leaders, potential employers, or collaborators, and expand your professional network.

Contribution to the Field

Opportunity to present your research or ideas and receive feedback from experts.

Stay Ahead of the Curve

Understand emerging trends and how they might impact the future of finance.

Who Should Attend

This conference is ideal for financial professionals, AI technology experts, researchers in finance and computer science, university students, and anyone interested in the intersection of AI and finance.

Call for Proposals

The Call for Proposals is closed. Watch out for the one for the next AI in Finance conference. You can still register and join us in-person or online. See the Registration link below.


This conference is a unique convergence of theory and practice, offering a comprehensive view of how AI is transforming finance. Whether you’re looking to stay ahead in your field, seeking collaboration opportunities, or curious about the future of finance, this conference is an essential platform for learning and networking.

Registration and Tickets

Official registration is closed. However, you can still join us online with the following links. Note that the times in the program are Austin times (CDT, GMT-5).

Webinar link for Friday, 26. April

Webinar link for Saturday, 27. April

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