Case Study: a leading global financial services company improves AI risk assessment with Innodata

a global financial services firm trains AI on thousands of articles with Innodata

A global financial services firm needed to train its AI platform for investment risk assessment and analytics. To achieve this, it required the high-quality annotation of technical financial documents to identify risks associated with events and entities within portfolios. The firm engaged Innodata to address this challenge.

Innodata employed a combination of its proprietary ML-enabled text annotation platform and a human-in-the-loop approach. Subject matter experts created a risk taxonomy, performed annotations to ensure accuracy, and conducted quality assurance. This process delivered a large, high-quality annotated dataset to the client. As a result, Innodata provided the pristine data needed to successfully train and improve the performance of the firm's AI risk assessment model.