In-Person Event
In-Person Event in Berlin
This presentation provides a deep dive into the development of an AI-based solution for a large asset manager designed to automate the extraction of key financial metrics from annual reports of international companies. Previously, this process relied on manual effort or a slow and insufficiently accurate legacy tool, leading to inefficiencies and inconsistent data quality. The implemented solution combines advanced document processing, large language models, and tailored machine learning components to reliably identify, extract, and structure relevant KPIs at scale. In parallel, dedicated data science methodologies were applied to enhance the quality, consistency, and robustness of the underlying data foundation. The session highlights architectural decisions, model performance considerations, and the measurable efficiency gains achieved in a regulated investment environment.
