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2025 AI and Future of Finance Conference Brings Together Students, Researchers, Leaders, and Industry Experts

The second annual AI and Future of Finance Conference brought together leaders from AI, finance, technology, and academia to explore the future of finance. The event featured discussions, research presentations, expert panels, workshops, and special sessions, highlighting thought leadership on large language models, generative AI, and regulatory considerations.
A group of women and men gather on a conference stage

Students, industry leaders, and researchers gather at the 2025 AI and Future of Finance Conference

The second annual Artificial Intelligence and Future of Finance Conference, hosted by the Scheller College of Business, Financial Services Innovation Lab, M.S. Quantitative and Computational Finance program, and Center for Finance and Technology, took place on March 20 – 21, 2025.  

Sponsored by Snowflake, Truist, Salesforce, and RelationalAI, this premier event brought together leaders from AI, finance, technology, and academia to explore the future at the intersection of AI and finance. 

“It was a pleasure to host the second annual AI and Future of Finance Conference at Georgia Tech," said Sudheer Chava, Alton M. Costley Chair, Professor of Finance, and Director of Financial Services Innovation Lab, M.S. Quantitative and Computational Finance, and Center for Finance and Technology.

"The conference fostered meaningful connections between leaders from academia and industry to explore how AI is reshaping finance. The event featured hands-on workshops led by Financial Services Innovation Lab Ph.D. students, special Tech Talks conversations, and engaging panels covering everything from GenAI to rebuilding trust in crypto. We're grateful to our sponsors for their support and excited to build on this momentum at next year’s conference.” 

Sudheer Chava
Sudheer Chava welcomes attendees to the 2025 AI and Future of Finance Conference

Conference themes included the evolution of large language models (LLMs), the future of generative AI in financial services, and the practical challenges of implementing AI in capital markets. Looking into current trends and future threats, attendees also delved into legal, regulatory, and compliance considerations for financial institutions. Insights were shared from C-suite executives of top financial organizations, including Invesco, Truist, Snowflake, Intercontinental Exchange, Millennium, TS Imagine, and Amazon. 

With the help of generous sponsors, industry and academic research leaders, and staff, the AI and Future of Finance Conference was a resounding success. Valuable perspectives and meaningful connections were made between industry leaders and academics to further the development and advancement of AI technology in finance. 

Day One: Hands-on Workshops on AI in Finance

Presentations on day one highlighted both student, faculty, and industry research at the intersection of AI and finance. The day ended with a Tech Talks Business session featuring Andrew Schlossberg, president and CEO of Invesco. 

Michael Galarnyk

Michael Galarnyk, Ph.D. Machine Learning ‘28 

“My research with undergraduate Computer Science student Riya Bhadani explores how biased or overly persuasive communication (including tone, phrasing, or missing contextual details) can shape investor decisions and even create opportunities for smarter, more informed strategies. The goal of this research is to understand how to separate real market signals from the noise in a world where anyone can sound like a financial expert.”

Riya Bhadani

Riya Bhadani, B.S. Computer Science ‘25 

“This conference showed me how my classroom learning as a computer science major is being used in the real world and provided perspective on how rapidly AI is transforming the financial services industry. The Tech Talks Business chat with CEO Bill Rogers of Truist and the panel on the Future of Generative AI made me think about necessary safeguards that need to be put in place to ensure the responsible and safe adoption of AI in industry and the workplace.”

Glenn Matlin

Glenn Matlin, Ph.D. Computer Science ‘27

“As an AI researcher, I believe the intersection of AI and finance is critical because financial decisions profoundly affect people’s lives. My research focuses on building collaborative AI systems that help humans reason, analyze, and plan in an interactive setting for decision-making in high-knowledge domains like financial systems, economic policy, and international relations. The goal is to develop intelligent systems capable of helping professionals make better decisions. As these systems mature, they will be able to help everyone navigate complex financial choices with greater confidence.”

Day Two: AI and the Future of Finance 

Day two kicked off with a special introduction by Provost Steve McLaughlin, followed by a Tech Talks Business session featuring Bill Rogers, chairman and CEO of Truist.  

Panel discussions followed with industry experts from: Millennium, TS Imagine, JPMorgan Chase, Snowflake, Truist, Regions Bank, McKinsey & Company, FTX Bankruptcy, Alvarez & Marsal, Sullivan & Cromwell, Raj Ferber PLLC, Amazon AWS, Salesforce, and Microsoft.  

Adrian Kukla

Adrian Kukla, M.S. Analytics and Data Science ‘25 

"Attending the AI and Future of Finance Conference was a fantastic opportunity to network with industry professionals and learn about the latest trends in finance and investments. I gained valuable insights into the role of regulations in applying generative AI in finance, particularly in improving operational efficiency and worker productivity. Discussions on multimodal AI agents, enhancing retrieval augmented generation (RAG) with knowledge graphs, and the influence of AI on fraud detection were exciting trends that are going to have a big impact on the industry." 

Dina Dinesh, Executive MBA ‘24

“I’ve spent the last eight years in healthcare, exploring AI applications in operations and clinical diagnosis. I’ve noticed similarities between healthcare and finances, such as strict regulations, significant customer impact, data security needs, and goals of improving financial inclusion. Deepfake incidents are a threat across industries, rising by 700% in the fintech sector in 2023. Generative AI might be the best defense against these threats for all of us." 

 

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