Farzam Fanitabasi
Farzam Fanitabasi is working as the "Chapter Lead Data Science: LLMOps" at ING Netherlands. He has been working in the NLP domain in the past 4 years, and the LLM domain the last 3 years. He has a PhD from ETH Zurich (2018-2021) where he worked on Deep Learning + NLP. Prior to joining ING, Farzam worked as a Postdoc (2021) on applied NLP in the communication science domain (VU Amsterdam) and later as a senior data scientist and tech lead, where he led a technical team in designing and developing large-scale NLP and LLM data products.
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.