MAS Commits up to S$100 Million to Support Quantum and Artificial Intelligence Capabilities in the Financial Sector

  • Artificial Intelligence
  • 18.07.2024 11:35 am

The Monetary Authority of Singapore today announced that it will commit an additional S$100 million under the Financial Sector Technology and Innovation Grant Scheme to support financial institutions in building capabilities in quantum and artificial intelligence (AI) technologies, as well as enable the advancement of quantum and AI related innovation and adoption in financial services.

Catalysing the development of quantum capabilities in the financial industry

Quantum technology is a rapidly advancing field that holds significant potential to transform the financial industry and broader economy. MAS has been collaborating with the National Quantum Office following the announcement of the National Quantum Strategy  by Deputy Prime Minister Heng Swee Keat in May 2024. MAS will establish a Quantum track under FSTI 3.0 to support financial institutions’ interests to build quantum capabilities in Singapore.

The Quantum track will comprise the following grants:

  • Technology Centres grant – This supports the establishment of quantum computing and security innovation functions in Singapore, to enable financial institutions and global technology companies to explore and unlock new opportunities arising from quantum technologies. This grant will provide funding support of up to 50% on manpower and other qualifying expenses such as hard/software infrastructure, subscriptions and licenses, for a period of 24 months.
  • Technology Innovation grant – This comprises two sub-tracks to support adoption of quantum technology solutions by financial institutions. The first sub-track aims to catalyse meaningful institutional use cases that bring about significant impact to business. The second sub-track will support strategic endeavours to solve relevant industry-wide problem statements. Up to 50% co-funding support will be provided to advance the exploration and implementation of such quantum solutions.
  • Security grant – This aims to enhance cyber security readiness to better prepare our financial infrastructure and services for the quantum era. Funding support of up to 30% will be provided to enable experimentation and development of quantum technology-related pilots that explore the use of Post-quantum Cryptography and Quantum Key Distribution  to safeguard firms’ critical data.

MAS will also work with Institutes of Higher Learning and the Institute of Banking and Finance on talent development initiatives to support the development of quantum capabilities in the financial services sector.

Strengthening the adoption of AI in the financial industry

While financial institutions have been progressively adopting AI, recent technological advancements have made such tools more widely accessible and increased the pace of adoption. With the advent of Generative AI, financial institutions have embarked on initiatives to map the technology’s opportunities and risks, and have begun piloting it across a range of use cases. Nevertheless, the level of AI-readiness and adoption varies across financial institutions in Singapore. 

MAS will therefore enhance the existing AI and data grant scheme under FSTI 3.0. This will: 

  • Bolster financial institutions' development and deployment of AI technologies in Singapore – Singapore has the potential to become a centre of excellence for anchoring AI capabilities, such as in the development of applications, as well as testing and deployment of AI solutions for the financial sector. MAS will support financial institutions in establishing AI innovation centres in Singapore for a range of functions including: AI model building and training, deployment of AI models for high-impact use cases, governance and risk management, as well as testing and monitoring.
  • Develop AI platforms to address industry wide use cases – There are strong prospects for the financial industry to apply AI to solve industry-wide problems beyond what each financial institution can do individually. This involves the development of frameworks and platforms for policies and protocols that enable secure and privacy-protected data exchange where financial institutions can collaborate on industry-wide use cases. For example, MAS has identified scam and fraud detection as a use case for the first pilot project, and will work with banks, technology solution providers and public agencies on this. The funding will support projects that accelerate the development of industry-wide AI solutions and high-impact use cases.

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