AI, automation and data governance continue to be among the most significant compliance challenges for firms. Regulators around the world are reconsidering their approach to the regulation of AI and often taking distinctly different stances that leave firms navigating conflicting expectations.
CUBE’s latest Cost of Compliance Report Update, highlights that the effective deployment of AI in financial services is inseparable from robust data governance. As AI and automation continue to reshape compliance operating models, the reliability, transparency and trustworthiness of AI outputs depend on the quality and governance of the underlying data.
What you will learn:
- The core competency of data governance to avoid “garbage in, garbage out"
- How to keep pace with fast moving regulatory change as supervisors continue to reevaluate their stance on AI
- Keeping the control infrastructure aligned with AI-enabled activities
- Best practice for investing in low or no regret actions