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For more information on how LSEG uses your data, see our Privacy Statement.
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You can adjust your preferences at any time through the preference link in any electronic communication that you receive from us.
Transforming financial crime compliance: The role of digital identities
As financial services become more digitalised, remote onboarding processes open the way for fraudsters to impersonate individuals with stolen, fake or synthetic identities. Financial institutions must respond to these new threats by leveraging more innovative, robust and technology-driven Know Your Customer (KYC) processes.
This white paper explores digital identity as part of the digital KYC journey, incorporating extensive desktop research with expert industry commentary to provide an in-depth understanding of how digital identities can best serve anti-financial crime efforts and contribute to the evolution of financial services.
Using GPT-4 with prompt engineering for financial industry tasks
Innovations and advancements in cutting-edge technologies in the field of Large Language Models (LLMs) are growing exponentially. With vast quantities of available data and increases in computing power, they have wide-ranging application potential in the financial industry.
In this paper, we aim to demonstrate the role of prompt engineering in GPT models in improving performance for sentiment and theme classification using financial text data. The results were obtained using GPT-4, which was released in March 2023, and at the time of writing is new for all users. Our aim with the exploratory studies is to provide clear and concise communication for an improved understanding of GPT models in the financial industry.
