Generative AI for Finance Professionals

This work presents a comprehensive overview of how Generative Artificial Intelligence is influencing the financial industry. It explains key AI concepts—including distinctions between AI, Machine Learning, and Deep Learning—and outlines the evolution and current capabilities of generative models such as GANs, VAEs, and transformer-based architectures.

The focus lies on how these technologies are applied in financial forecasting, risk management, reporting automation, and operational efficiency. The content also explores regulatory and ethical considerations, infrastructure demands, and the economic implications of integrating Generative AI into financial strategies.

Designed for finance professionals, the material highlights both opportunities and limitations, and includes frameworks for implementation, governance, and decision support. It reflects a practical and strategic perspective on how financial institutions can build AI capabilities, improve resilience, and support data-driven decision-making.

The full text is available at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4956387