Research & Innovation

CRAFTing a Future with Generative AI

New research and tools showcase AI’s potential to shape the financial industry during CRAFT workshop.

Generative AI’s ability to leverage deep learning models like Generative Adversarial Networks (GANs) to go beyond simply analyzing or classifying information to produce original content like text, images, and audio in seconds is rapidly changing the world as we know it.

The financial industry is especially feeling its effects and the possibilities AI presents, which is why the Center for Research Toward Advancing Financial Technologies (CRAFT) made it the theme of their second 2023 workshop (the fourth in their on-going workshop series) hosted on November 29 at the Stevens Institute of Technology.

The workshop brought together more than 50 researchers, faculty and industry partners to learned about emerging AI research and tools. It featured a variety of presentations tackling the many diverse areas of this field and how they might apply or be scaled to the finance industry.

RESEARCH PRESENTATIONS

“Presented Multi-Label Clinical Time-Series Generation via Conditional GAN Healthcare”
  • Chang Lu, Ph.D. Candidate in the Department of Computer Science, Stevens Institute of Technology

  • Topics included generative AI in healthcare, electronic health records mining and generative adversarial network.

“Generative AI and Ideation”
  • Jeffery Nickerson, Steven Shulman ’62 Chair of Business Leadership and Professor of Digital Innovation, Stevens Institute of Technology

  • Observations of how an AI tool built to aid journalists in ideating story angles can have a broader application to help financial industry find solutions for challenges.

Professor Feng Mai stands in front of a large screen presenting on the topic of “Dissecting Corporate Culture Using Generative AI Insights from Analyst Reports”“Dissecting Corporate Culture Using Generative AI Insights from Analyst Reports”
  • Feng Mai, Associate Professor and Area Coordinator of Information Management & Analytics Area, Stevens Institute of Technology

  • Discussion of how AI can be used to explore the antecedents and consequences of corporate culture through a casual extraction approach of analyst reports.

“Data-centric FinGPT: Open-Source Financial Large Language Models”
  • Xiaoyang Liu, Department of Computer Science, Rensselaer Polytechnic Institute

  • Presentation of a an open-source tool that curates real-time data pipeline to democratize data for FinLLMs.

“Race2GenAI”
  • Sudhir Pai, Executive Vice President and Chief Technology & Innovation Officer (CTIO) for Global Financial Services, Capgemini

  • Insights into the current state of the financial services industry in the context of generative AI, highlighting various emerging use cases in areas such as retail banking, wealth management, payments and insurance.

“Generative AI Trading Strategies: Trust and Explainability in 4Thought Studio”
  • Adam Faanes, Co-Founder and Chief Technology Officer, 4Thought Technologies

  • Demonstration of AI-powered market intelligence and analytics platformed that was built to identify unseen investment opportunities and risk, along with researching and modeling investment strategies within minutes, not hours.

CRAFT’s next workshop will focus on Financial Fraud and will take place in Spring 2024.