LSEG Data & Analytics

The emergence of Large Language Models (LLMs), such as Google BERT, and generative AI, with the launch of ChatGPT, are amongst the most significant technological developments in finance of the past years. Financial firms are exploring how to effectively use these tools, and the potential risks associated with them. Many emerging IT and consulting, as well as financial services firms are developing business cases with LLMs, with most still early in their journey, to identify potential areas in which LLMs can be effectively applied.

In this webinar, leading financial and quant experts delve into the potential use cases, challenges and pitfalls of using LLMs in finance, as well as outlining emerging approaches and practical strategies moving forward.

KEY TOPICS INCLUDE:

What’s the reality for AI early adopters after over a year of applying generative AI and 5 years of Large Language Models? Where does the financial industry stand?
What questions are being asked by financial firms to help formulate their strategy in generative AI?
What are the possibilities and potential use cases in its adoption?
What are the challenges, constraints and pitfalls related to LLMs' application?
What are some of the valuable ways forward in implementing LLMs for finance-related areas?
What should you consider if you want to formulate your AI strategy?

WEBINAR INFORMATION

Date recorded: Thursday, March 21

Duration: 60 minutes

Speakers:

Dr. Svetlana Borovkova, Head of Quant Modelling, Probability & Partners
Dr. Richard L. Peterson, Chairperson, MarketPsych
Edward J. Achtner (EJ), Global Head of Office of Applied Artificial Intelligence (OAAI), HSBC
Moderated by Jonathan Leff, Head of Financial News Strategy, Reuters

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