Venue
TBA
TBA, Amsterdam, the Netherlands

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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
Details

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:
โ€ข Align AI and ML model development practices with the evolving requirements of the EU AI Act
โ€ข Examine how Gen AI and NLP models are being developed, validated, and deployed differently depending on risk level and function
โ€ข Leverage LLMs effectively while safeguarding operational integrity and regulatory compliance
โ€ข Enable cross-functional collaboration to support validation of complex AI and Gen AI models
โ€ข Integrate alternative and synthetic data sources while maintaining ethical and regulatory standards
โ€ข Discuss the evolving governance challenges posed by AI models with dynamic learning capabilities and increased risk profiles

Speakers

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