Zeynab Rashidpour
I'm a data scientist with a background in physics, holding both a bachelor's and a master's degree in the field. After completing my professional doctorate in data science at Eindhoven University of Technology, I gained extensive industry experience working with diverse clients across various sectors, primarily in the NLP and LLM domains. Outside of work, I'm an avid runner and enjoy playing volleyball and indoor football. In my spare time, I love reading, building with Legos, and engaging in board games.
Sessions
Productionizing generative AI applications in a highly regulated banking environment such as ING comes with a plethora of challenges; from handling the technical complexities of massive foundational models, to addressing ethical considerations and rigorous risk assessments. These challenges are not unique to the financial sector but equally critical in other areas such as healthcare, and government. In this talk we will delve into these critical aspects, focusing on implementing, deploying, and monitoring generative AI applications with stringent compliance requirements and limited risk appetite. Highlighting analytical and human-in-the-loop approaches, we'll demonstrate how to establish robust first and second lines of defense, mitigate data and reputational risks, and ensure the accuracy of information, which is vital across various sectors.