ML and AI Model Development and Governance 2024 | Marcus Evans | 15 September 2024 | TBA, London‚ UK

This event will present best-in-class strategies to implement AI and ML models into financial institutions' model inventory in a compliant and sustainable way. There will be discussions into how models can be managed through the three lines of defense and the need for model developers to collaborate closely with validation and governance departments to ensure that models are tested and fit for purpose. Building on this, there will be discussions into the impact of the AI Act on the use of this technology for financial decision-making as well as case studies into how the issue of data bias and Ethical AI can be overcome. The event will also present the best use cases of emerging technologies such as NLP and LLMs to achieve a high ROI by safe and stable implementation alongside thorough ongoing monitoring.

Key Sessions:
• Discover and implement optimal model governance frameworks to preserve model efficiency
• Onboard AI models into forward-looking risk management systems
• Investigate the respective optimal use cases of AI and traditional models
• Review strategies within model training to mitigate the risk of overfitting
• Optimise the use of AI models under Basel IV
• Understand the impact of the AI Act on the use and governance of AI and ML models

2023 Past Speakers

Mohit Dhillon
Managing Director, Head of Credit Risk Modeling, Barclays

Harikrishna Mallepalli
Senior Vice President, Citi

Joris Krijger
AI and Ethics Officer, De Volksbank

Hakan Gogtas
Head of Model Validation, Deutsche Bank

Stephanie Zhang
Managing Director, Head of AI Governance Tech, ModelOps, Data Development, JPMorgan Chase & Co.

2024 Sponsor

• Management Solutions