Claire Calmejane

This roundtable reflects Elevandi’s commitment to advancing adoption of frontier technologies. This includes consideration of the Use of AI/ML in Financial Supervision by Central Banks in a 2024 FutureMatters opinion.

Leveraging AI for data analytics is increasingly becoming a staple in organisational strategies, yet the journey is far from complete. In this vein, the BIS Innovation Hub Swiss Centre and Swiss National Bank have recently launched Project Neo to explore how more frequent and granular data from novel sources combined with advanced analytic technologies can help central banks better fulfil their mandates. Project Neo aims to ensure that central bank policymaking decisions are grounded in timely and precise intelligence.

The discussion, under the theme of Forming Frontier Tech, will delve into:
- The transformative impact of AI on data analytics, particularly in forecasting, economic analysis, risk management, reporting, and decision-making processes.
- The multifaceted challenges of AI integration, spanning technological consideration to the organisational adaptation.

Attendees who wish to familiarise themselves with the topic may refer to the reference materials below.
- ESG: The Urgency of Action & Why Climate Technology Matters Now
- Use of AI/ML in financial supervision by central banks

Tokenisation of real world assets (RWAs) offers transformative potential, and is expected to impact both financial services and the broader economy. However, despite this promise of potential, most RWA tokenisation projects are still in the pilot or experimental phase. Integrating tokenised RWAs into the mainstream economic and financial system also presents regulatory challenges, particularly in consumer protection, financial stability, and compliance. In this panel discussion, we bring together regulators, policymakers, and industry participants to discuss frameworks to support the commercial and institutional adoption of RWA tokenisation.