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Event Date |
Mon Sep 22 CEST - Tue Sep 23 CEST (in 2 months)
In your timezone (EDT): Sun Sep 21 6:00pm - Mon Sep 22 6:00pm |
Location |
TBA
Amsterdam, the Netherlands |
Region | EMEA |
This Marcus Evans industry meeting provides essential insights for financial institutions aiming to master AI and ML modelling in an evolving regulatory environment. Considering the EU AI Act requirements, banks must ensure transparency and ethical design from model development stage to ensure robust validation and maximise ROI. Attendees will explore strategies to align model development with regulatory requirements while managing risks emerging from advanced AI models such as bias and hallucinations. Sessions will focus on practical approaches to data governance, continuous model monitoring, and integrating AI model oversight within existing risk management frameworks. Additionally, the event highlights how generative AI and LLMs can be leveraged effectively without compromising compliance, operational integrity, or ethical standards. Participants will gain insights on balancing innovation with regulatory demands and governance standards ensuring accurate decision-making
Key Sessions:
โข Align AI and ML model development practices with the evolving requirements of the EU AI Act
โข Examine how Gen AI and NLP models are being developed, validated, and deployed differently depending on risk level and function
โข Leverage LLMs effectively while safeguarding operational integrity and regulatory compliance
โข Enable cross-functional collaboration to support validation of complex AI and Gen AI models
โข Integrate alternative and synthetic data sources while maintaining ethical and regulatory standards
โข Discuss the evolving governance challenges posed by AI models with dynamic learning capabilities and increased risk profiles
2024 Past Speakers
Vahid Yazdanpanah
Senior Model Risk Manager, Knab N.V.
Changxin Miao
Tech Chapter Lead, ING
Andrea Cirillo
Head of Audit Data and Advanced Analytics, Data Scientist, Intesa Sanpaolo
Takieddine Kadiri
Tech Lead Machine Learning Engineering, Societe Generale Assurances
Katarina Ocokoljic
Head of Model Risk, NatWest
Andrea Lucarelli
Artificial Intelligence Risk Innovation Leader, UniCredit
Kerryn Gammie
Data and Artificial Intelligence Ethicist, Lloyds Banking
Neena Thakur
Artificial Intelligence Lead, ABN Amro