Using Generative AI to better understand B2B audiences: from Topic Modelling to Text Classification
A talk by Lourens Walters and Luca Valer from IIRIS Informa.
The IIRIS team support Informa marketing teams to promote the 1.5k trade shows by collecting, enriching, and mining c2.5b customer interactions. In our journey to better understand our audience, we have encountered several challenges that we tried to solve by using a fusion of traditional ML and state-of-the-art Generative AI and Large Language Models (LLMs).
The biggest user cases are:
Understanding audience interests: how we extract topics from content and derive the area of interest for users.
Improving data quality: mapping client event registration information to a master reference data list of registration terms.
During this talk, we will expand on the two techniques (Topic Modelling & Classification problem using LLM): what the data solution architecture is and how we fine-tuned open source LLMs.
Technical Level: Technical practitioner
This session was part of the Data Science Festival MayDay event 2024. Find out more at https://datasciencefestival.com/event...
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