The use of technology by central banks, regulators and supervisors has been growing exponentially. The use of technology to meet regulatory and compliance requirements more effectively and efficiently (known as 'regtech') and for regulatory, supervisory and oversight purposes ('suptech') is well consolidated

Regtech and suptech solutions are emerging for a wide range of regulatory focus areas, including regulatory change tracking, fraud detection, know-your-customer (KYC), countering the financing of terrorism (CFT), conduct and prudential risk management, systematised regulatory reporting, achieving real-time risk alerts, supporting automated compliance and using natural language processing to monitor news and social media.

The fast development of artificial intelligence (AI) and other new technologies in recent years has also highlighted the potential use of technology to strengthen central banks' core policy work: research, macro-economic analysis, monetary policy implementation.

Central banks have been early adopters of machine learning techniques for statistics, macro analysis, payment systems oversight and supervision, with considerable success. "Central bank collaboration, for instance through knowledge-sharing and pooling of expertise, holds great promise in keeping central banks at the vanguard of developments in artificial intelligence," said a recent BIS bulletin on the topic.

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