Large language models (LLMs) like ChatGPT are rapidly evolving and have the potential to revolutionise the financial services industry. These models can be used for a variety of tasks, including customer service, fraud detection, and investment research. However, there are also risks associated with LLMs, such as bias and privacy concerns.
This webinar is aimed at professionals working in the financial services industry who are interested in learning more about the potential of LLMs. By the end of the webinar, participants will have a better understanding of the opportunities and risks of LLMs, and how to use these models effectively.
What are LLMs and how do they work?
What are the potential benefits of using LLMs in financial services?
What are the risks associated with using LLMs in financial services?
How can financial services firms mitigate the risks of using LLMs?
Head of i-4 at International Information Integrity Institute (part of KPMG)
Matthew leads the International Information Integrity institute (i-4), which is the world’s longest established confidential trust group for senior cyber security leaders. Matt leads a community of 70+ global corporations and leading academic institutions around the world.
In addition to leading the i-4 community, Matt provides both crisis management advisory services and negotiation support as part of KPMG’s cyber response services. Matt has produced ransomware response frameworks, incorporating both communication and negotiations strategies guides for global financial institutions.
His experience and capability in these fields were perfected during his 20 year career in national / international law enforcement, leading teams within the UK National Cyber Crime Unit and Anti-Kidnap / Extortion Unit, part of the UK National Crime Agency. His efforts leading investigations into organised criminal groups earnt him commendations from the Director General of the Serious Organised Crime Agency and also Crown Court Judges.