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KPMG launches AI Centre of Excellence in Singapore
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KPMG has launched its Trusted Artificial Intelligence Centre of Excellence (AI CoE) in Singapore, backed by the Singapore Economic Development Board (EDB). The centre is intended to help organisations move from small-scale AI trials to large-scale adoption. Functioning as a capability hub, the CoE aims to bolster Singapore’s role as a “trusted node” globally, working with companies, academia and the public sector to co-develop solutions and support AI ecosystem development. KPMG will use itself as “Client Zero” for suitable solutions co-developed through the CoE to test them within its own operations before offering them to clients. Initial work will focus on financial services, infrastructure and logistics, manufacturing, government, healthcare and real estate, as well as functions such as finance, governance, risk and compliance, customer service and operations. KPMG Singapore managing partner Lee Sze Yeng said: “Through the KPMG Singapore Trusted AI Centre of Excellence, we are partnering with businesses to rigorously assess where they stand, close the gaps that matter, and build AI that is trusted not just locally but in the markets most critical to their growth.” At the same event, KPMG rolled out its Trusted AI Assurance framework, described as an evidence-based approach to assess AI deployments and provide businesses in Singapore with a clearer route to scaling AI. Trusted AI Assurance is aligned with the EU AI Act, the NIST AI Risk Management Framework, ISO 42001 and Singapore’s Model AI Governance Framework. Singapore EDB managing director Jermaine Loy said: “We welcome KPMG Singapore’s efforts to work with EDB and the relevant agencies in advancing Singapore's position as a globally trusted hub for AI deployment and innovation.” Recently, KPMG integrated Anthropic’s Claude AI into its global technology platform Digital Gateway. "KPMG launches AI Centre of Excellence in Singapore" was originally created and published by International Accounting Bulletin, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
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