Marcus Evans is pleased to announce the ML and AI Model Development and Governance Conference, taking place from November 27-29, 2024, in Amsterdam. This premier event will provide a platform for financial institutions to pioneer techniques in AI model development and validation, enhance risk mitigation, and establish robust governance frameworks.

Participants will gain insights into the latest strategies for effectively incorporating AI into governance frameworks, meeting emerging regulatory demands, and ensuring ethical data use. Key topics include compliance with the EU AI Act, creating better risk management practices, and integrating ethics within AI deployment.

Conference Highlights:

Keynote Sessions: Experts will discuss managing AI models across diverse regulatory requirements, leveraging regulation for competitive advantage, and the impact of ethical regulations on AI innovation.
Panel Discussions: Topics include the role of ethics and bias in AI regulation, strategies to promote inclusivity, and best practices for regular audits and risk mitigation.
Case Studies: Learn from real-world applications, such as driving AI innovation in risk management, utilizing generative AI for financial reporting, and optimizing the use of NLP/LLMs for market predictions and compliance.

Notable Speakers:

Frans Van Bruggen, Senior Policy Officer FinTech & Artificial Intelligence, Dutch Central Bank
Andrea Lucarelli, Group Enterprise Risk Management, UniCredit
Aleksandr Timashov, Software Engineer, Machine Learning, Meta
Neena Thakur, Artificial Intelligence Lead, ABN Amro
Andrea Cirillo, Head of Audit Data and Advanced Analytics, Data Scientist, Intesa Sanpaolo
Susana Ponce Froment, Global Head of Financial & Credit Risk, Tide

Agenda:

Day 1: Explore harmonizing AI model management across regulatory landscapes, industry standards for AI risk regulation, and driving AI innovation in risk management.
Day 2: Focus on incorporating high-quality data for AI/ML models, addressing AI misuse, and developing models with conceptual soundness.
Workshops: Post-conference workshops will cover ethical principles for AI/ML usage and translating cutting-edge AI research into practical business solutions.