AI in Finance:
Navigating the Future
2nd AI in Finance Conference at St. Edward’s University, Austin, Texas on April 4, 2025
Attend in-person or online.
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Co-hosted by
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St. Edward’s University
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Texas State University
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The Python Quants
Introduction
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 the 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. Read what participants had to say:
“One of the best conferences I have ever attended. A great mix of both thematic and practical how-to sessions with full code. Well-organized and catered, with lots of super interesting content delivered efficiently. Fantastic opportunities to network with interesting people involved in this space from across the globe in wonderful Austin!”
— Jason Ramchandani (LSEG, London)
“The AI in Finance Conference (AIIFC) is a must-attend event for anyone passionate about the intersection of AI and quantitative finance. Set in Austin, TX, a city where tech and finance thrive together, AIIFC brings state-of-the-art discussions from top industry experts, covering cutting-edge advancements in AI-driven quant strategies and systematic investing. Beyond the insightful panels, AIIFC offers a unique opportunity to refine presentation skills, expand networks, and foster meaningful industry connections. I’m grateful to St. Edwards University, Texas State University, and The Python Quants for making this experience possible again in 2025—an event that truly elevates knowledge exchange in the field.”
— Francisco Salazar
The conference
Conference Co-Chairs:
Alexis Stokes, J.D., Dean and Professor of Business Law, The Bill Munday School of Business, St. Edward’s University
Ivilina Popova, Ph.D., Professor of Finance, McCoy College of Business, Texas State University
Keynote Speaker: Dr. Yves Hilpisch
Plenary Speaker: Jason Ramchandani
Scientific Committee:
Dr. Yves Hilpisch, Dr. Ivilina Popova, Dr. Ha-Chin Yi, Dr. Janet Payne, Dr. Leyuan You, Dr. Emmanuel Alanis, Dr. Matt Flynn, Dr. Ishita Kumar
Conference sponsors:
The Bill Munday School of Business, St. Edward’s University; Department of Finance, Spears School of Business, Oklahoma State University; Department of Finance & Economics, McCoy College of Business, Texas State University
Hotel Options: Enjoy a discount on rooms at Colton House Hotel with code SEUVIP24—while supplies last. Located just a half-mile from campus at 2510 South Congress Avenue, Austin, TX 78704, Colton House combines the comfort of residential amenities with upscale hotel luxury and service. With 79 suite-style accommodations, choose from studios, one-, two-, or three-bedroom options, each featuring a kitchenette or full kitchen and a living room. In addition to comfortable rooms, Colton House offers a range of amenities, including a library, a coffee and wine bar, and an outdoor patio and pool. Additional hotels are available in the area, including the South Congress Hotel and Hyatt Regency Austin, as well as dozens of options in downtown Austin.
Location
The conference will be held at St. Edward’s University, Austin, 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 or have expanded operations within the area. The weather in April is pleasant and it is usually the peak of the wildflower season.
About St. Edward’s University
Located on South Congress Avenue, in the heart of Austin, Texas, St. Edward’s University is just three miles south of downtown and only minutes away from Austin-Bergstrom International Airport. Home to 3,500 undergraduate and graduate students, St. Edward’s idyllic hilltop campus offers urban convenience along with panoramic views of the city and Texas Hill Country. Our conference host, The Bill Munday School of Business at St. Edward’s University, is AACSB-accredited and offers ten majors, seven minors, and four graduate programs that build on the pillars of the Austin ecosystem: entrepreneurial thinking, innovation management, social enterprise, global collaboration, and business analytics.
Campus Parking
Parking on campus is limited, and guests are encouraged to Uber/Lyft if possible. To request on-campus parking, conference attendees may use this link: https://vpermit.com/stedwards/ClaimableEvents/Claim – and enter their information and the claim code: AIFINANCE. Once you have filled out the information and clicked the “Start” button you will receive confirmation that you have registered for event parking. Vehicle registration for this event allows parking in all Standard (Green), Economy (Yellow), and Faculty (Black) lots.
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.
TALKS
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.
BREAKFAST & LUNCH
During the conference, you will be served a light breakfast, coffee, and lunch.
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.
Networking
Meet industry leaders, potential employers, or collaborators, and expand your professional network.
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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. Attendance is free for all students and faculty from both St. Edwards University and Texas State University.
Call for Proposals
The Call for Proposals is open. Use the button below to submit your proposal for a shorter (lightning) talk or a longer talk.
Registration and Tickets
Registration for the conference is open. Fees are 50 USD for in-person attendance (incl. breakfast and lunch) and 25 USD for online attendance. You also need to register if you qualify for a free conference ticket. Note that all times are Austin times (CDT, GMT-5).
Conclusion
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.
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Get & Keep in Touch
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The Python Quants GmbH
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The Experts in Data-Driven and AI-First Finance with Python. We focus on Python and Open Source Technologies for Financial Data Science, Artificial Intelligence, Algorithmic Trading and Computational Finance.