Introduction to Generative AIBasics of generative AI, including what it is, how it works, and its different types
Generative AI in Finance
How generative AI is being used in finance, including for tasks such as fraud detection, risk management, and asset pricing
Applications of Generative AI in Finance
Specific applications of generative AI in finance, such as generating synthetic data, creating financial visualisations, and developing trading algorithms
Challenges of Generative AI in Finance
Challenges of using generative AI in finance, such as the need for large amounts of data and the risk of bias
Case Studies of Generative AI in Finance
Real-world examples of how generative AI is being used in finance
Ethical Considerations of Generative AI in Finance
Ethical implications of using generative AI in finance, such as the potential for discrimination and the risk of financial instability
Future of Generative AI in Finance
The future of generative AI in finance, including how it could be used to solve some of the challenges facing the financial industry