ML and AI Model Development and Governance

Establish how firms can validate and monitor AI models effectively, incorporate AI into governance frameworks and meet emerging regulatory demands, ensure ethical data use. Participants attending this premier marcus evans conference will be able to pioneer techniques in AI model development and validation, enhance mitigation of risks, and establish robust governance frameworks. There will be discussions into the challenges of compliance with the EU AI Act, and how financial institutions can work together to create better risk management of AI models. Furthermore, there is a strong emphasis on the interconnecting role of ethics within the deployment of AI models. In addition, participants will be able to engage in knowledge exchange of best practices surrounding the internal and cross-functional internal governance structures of managing A.I models. Case studies will also exemplify leading impacts of AI model validation techniques used to further align with business integrity and investment strategies using AI.