As part of her role at BMO's investment banking subsidiary, BMO Capital Markets, Kim Jaffee-Prado thinks mostly about data — structured and unstructured data; compliance data; data from Bloomberg terminals; data for identity and know your customer (KYC) activities; and data to feed into analytics engines powered by machine learning — as well as natural language processing (NLP) and large language models.
At the top of the list, Ms Jaffee-Prado’s team are pulling all their unstructured data around sales and trading activity communications, structuring it, and tying it to their transaction data. Part of this project consists of working closely with Bloomberg to develop a proof of concept using the vendor’s NLP chatbot application programming interfaces.
