HKMA Launches Initiatives to Support AI and Distributed Ledger Technologies
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The Hong Kong Monetary Authority (HKMA) has released a blueprint outlining new initiatives to support the adoption of artificial intelligence (AI) and distributed ledger technologies (DLT) in the financial sector, enabled by high-performance computing infrastructure.
The blueprint forms part of HKMA’s Fintech 2030 strategy and focuses on advancing more complex technology use cases within financial services. It introduces four flagship projects covering quantum computing, risk data management, cybersecurity, and workforce capability development.
In addition, HKMA will roll out supporting activities aimed at addressing barriers to fintech adoption. These include industry events, competitions, updates to an existing matching platform, and hands-on workshops.
Arthur Yuen, Deputy Chief Executive of the HKMA, said the initiatives are intended to support responsible innovation, strengthen cross-border collaboration, and enhance talent development to meet evolving technological demands in finance.
The Hong Kong Monetary Authority (HKMA) has released a blueprint outlining new initiatives to support the adoption of artificial intelligence (AI) and distributed ledger technologies (DLT) in the financial sector, enabled by high-performance computing infrastructure.
The blueprint forms part of HKMA’s Fintech 2030 strategy and focuses on advancing more complex technology use cases within financial services. It introduces four flagship projects covering quantum computing, risk data management, cybersecurity, and workforce capability development.
In addition, HKMA will roll out supporting activities aimed at addressing barriers to fintech adoption. These include industry events, competitions, updates to an existing matching platform, and hands-on workshops.
Arthur Yuen, Deputy Chief Executive of the HKMA, said the initiatives are intended to support responsible innovation, strengthen cross-border collaboration, and enhance talent development to meet evolving technological demands in finance.
