Data Governance & AI Risk Lab

Focused on the “Gold Standard” of Data Governance and the rising tide of Technology Risk in the age of Agentic AI. This session connects vendors with Chief Data Officers (CDOs) who are navigating the complexity of LLM compliance. A premier networking environment for building long-term institutional trust.

Key Discussion Pillars:

• Data Integrity for Model Reliability: Ensuring “clean” and unbiased data pipelines to prevent hallucination and logic errors in automated financial decision-making.
• The Shadow AI Challenge: Strategies for identifying and securing unauthorized AI tool usage (Shadow AI) within the bank to prevent sensitive data leakage.
• Algorithmic Accountability: Navigating the “Black Box” problem—how to maintain transparency for regulators when using complex AI models.
• Privacy-Preserving Tech: Exploring the role of synthetic data and differential privacy in training models without compromising PII (Personally Identifiable Information).
• Sovereignty & Localisation: Managing the risks of data residency when utilizing global LLM providers within the strict jurisdictional requirements of UK/EU banking.