Executive Education · Public Policy
Artificial Intelligence and Big Data in Central Banking
Explore AI, data analytics and responsible innovation in central banking.
Programme overview
Build your professional perspective.
Artificial Intelligence (AI) and Big Data are transforming the way central banks conduct monetary policy, supervise financial institutions, and safeguard financial stability. By harnessing advanced analytics and machine learning, central banks can improve economic forecasting, strengthen risk monitoring, enhance fraud detection, and make more informed policy decisions. This programme provides participants with a practical understanding of AI and Big Data applications in central banking, while addressing the ethical, governance, and regulatory considerations associated with their adoption. Through global case studies and interactive workshops, participants will explore innovative solutions that support data-driven decision-making and strengthen the resilience of modern financial systems.
Learning outcomes
What you will work towards.
- Understand applications of AI and big data in central banking.
- Explore tools for monetary policy, supervision, and fraud detection.
- Examine risks and ethical considerations in AI deployment.
- Learn from global experiences and innovations.
Programme outline
Explore the key topics.
- Introduction to AI, Machine Learning, and Big Data
- Applications in Monetary Policy and Economic Forecasting
- AI in Financial Supervision and Fraud Detection
- Risks: Bias, Ethics, and Governance Frameworks
- Workshop: AI and Big Data Use Cases in Central Banking
Your next step
Plan your participation.
Ask about availability, programme arrangements or attending with colleagues.