MDDI 演講稿 · 2026-02-24
陳杰豪高階政務部長在新電信數碼基建公司與輝達應用 AI 卓越中心啟動儀式上的演講
要點
- • 黃循財總理在 2026 預算案中明確：新加坡的 AI 優勢不在於做最大的前沿模型，而在於「有效、負責、快速」地落地 AI。
- • 新加坡 AI 卓越中心（CoE）已超過 60 個，分兩類——行業級 CoE（解決整個價值鏈共性問題，如製造業的預測性維護）+ 公司級 CoE。
- • SIT × NVIDIA AI 中心（SNAIC）已支援 70 家公司部署 50 個 AI 方案，覆蓋製造、醫療、金融、交通；如與陳篤生醫院合作的「自動視力檢測」系統。
- • 兩個資料中心治理工具：①《綠色資料中心路線圖》（2024 年 5 月）+「IT 能源效率標準」（2025 年 6 月）；②今年內 MDDI 將向國會提交《數字基礎設施法》（DIA），為所有資料中心設定 PUE 等基線能效要求，並要求重大雲服務商與資料中心管理安全風險、報告事故。
- • 新加坡數字基礎設施每 15 年大跳一次：30 年前 Singapore ONE、15 年前下一代國家寬頻網路、5 年前 5G SA。下一波是 AI 普及的世界——CoE AAI 將藉助新電信的網路（尤其是邊緣網路）加速這一程序。
完整譯文（繁體中文）
MDDI 英文原文譯文 · 翻譯日期: 2026-05-02
新電信數碼基建公司（Singtel Digital InfraCo）執行長 Bill Chang 先生、
輝達（NVIDIA）解決方案架構與工程副總裁 Marc Hamilton 先生、
各位嘉賓、朋友與同仁：
早安。我很高興今天和大家一起，出席新電信—輝達「應用 AI 卓越中心」（COE AAI）的啟動儀式。
Bill、Marc——祝賀你們兩個團隊讓這個中心落地。這是一項重要的合作，我很高興能在這裡見證它的啟用。
在 2026 年財政預算案中，黃循財總理勾勒了政府的願景——讓新加坡把 AI 當作戰略優勢來掌握。
正如總理所言：新加坡的優勢不在於打造最大的前沿模型，而在於「有效、負責、快速」地落地 AI。
我們專注的是——AI 如何被用來解決真實世界的問題，為我們的企業與人民創造價值。
這一努力中很重要的一環，是培育一個能在整個經濟體中開發、部署 AI 方案的創新者與工程師生態。
自 2023 年底我們啟動更新版《國家 AI 戰略》以來，新加坡已經設立了 60 多個「AI 卓越中心」（COEs）。
其中一些是「行業級 CoE」——把研究機構、產業、政府聚到一起，為整條價值鏈上的共性挑戰開發 AI 方案。例如「製造業行業級 AI CoE」，正在做該行業的預測性維護與質量保證。
另一些是「公司級 CoE」——單一企業建立內部 AI 能力，改進自身工作流程，給客戶提供更好的服務。
「SIT × NVIDIA AI 中心」（SNAIC）是這個生態裡令人歡迎的新成員。該中心幫助大小企業測試、開發並落地 AI 方案。
迄今，SNAIC 已支援 70 家企業部署 50 個 AI 方案，覆蓋製造、醫療、金融、交通等行業，併產生真實業務影響。
比如，SNAIC 與陳篤生醫院合作開發協同 AI 工具，幫助臨床醫生更快、更準地提供照護。
其中一項是「自動視力檢測」（Automated Visual Acuity Detection）：用 AI 驅動的語音識別與姿態監測自動完成視力檢查——相比傳統方法所需的大量臨床醫生介入，這是一個重要進步。
這些 AI 工具減輕了醫生的工作量，縮短了病人的等待時間，讓視力檢測更快，並在病人康復旅程中提供更好的支援。
現實是——這些以 AI 為驅動的數字方案，無法靠 AI 自己開發與落地。我們需要建模者、工程師、開發者、資料科學家以及更多角色，去執行先進的計算平臺、參與應用 AI 的研發，並構建解決方案。
新加坡致力於在國家 AI 推進中培育一個深厚的科技與 AI 人才池。MDDI 將在即將到來的預算 / 撥款總目（COS）國會辯論中分享更多計劃。
我很高興新電信與輝達是這一努力的有力支持者。
由 IMDA「TechSkills Accelerator」（TeSA）支援的 SNAIC AI 專案，將基於 NVIDIA Deep Learning Institute 課程，為應屆生與中途職業人士提供兩個月的密集再培訓。他們還將通過四個月的產業實操專案獲得實戰技能。
我們也在通過新加坡人工智慧機構（AI Singapore）的「AI 學徒計劃」（AI Apprenticeship Programme）以及與新電信等領先科技公司的合作，擴大 AI 實務人才池。完成專案後，這些實務人才會在生態中的多家公司擔任 AI 與機器學習工程師等崗位，許多人最終在學徒結束後留下成為正式員工。
另一個關鍵的支撐要素，是承載這些平臺與方案的數字基礎設施。今早我聚焦談兩個——資料中心（DCs）以及雲服務平臺。
新加坡是區域級資料中心樞紐，DC 密度在本地區數一數二。
這些資料中心是數字經濟的基礎。
它們承載支撐新加坡 AI 雄心所需的算力。
但它們也是密集的資源消耗者，尤其是電與水。
今天，新加坡已承載超過 1.4 GW 的 DC 容量，而隨著 AI 使用的增加，對 DC 的需求只會增長。
因此，對新加坡這樣自然資源受限的緊湊型城市國家來說，確保這種增長是可持續的至關重要。
IMDA 在 2024 年 5 月釋出《綠色資料中心路線圖》，鋪設可持續增長路徑，把新加坡的資源約束轉化為機會。
我們正幫助資料中心借力綠色能源來增長，並採取具體措施提升能效。
為支援產業轉向，我們啟動了「DC 行業能效補助」，幫助運營商與使用者把 IT 裝置升級到更節能的型號。
我們也在 2025 年 6 月釋出了《IT 能源效率標準》，指導 DC 運營商與使用者選用節能 IT 裝置，並更高效地執行這些裝置。
今年稍後，MDDI 將向國會提交《數字基礎設施法》（Digital Infrastructure Act, DIA）。
這項擬議立法將為所有資料中心——既有的與未來要建的——設立基線能效要求。我們將從對資料中心的「電力使用效率」（PUE）要求開始。
MDDI 與 IMDA 一直在與產業利益相關方協商，以確保擬議要求雖具雄心，但務實可行，並與國際基準一致。
我們希望新加坡的資料中心更節能、更可持續——不僅是未來幾年新建的 DC，也包括既有的 DC，它們將在更新技術與 IT 裝置時，逐步達到 DIA 的要求。
通過系統性地提升所有資料中心的能效與可持續性，我們能為新加坡數字經濟日益增長的需求騰出更多空間——尤其是 AI 採用的推動。
除了可持續之外，DIA 也將為重大雲服務商（CSPs）與資料中心制定要求，以增強其韌性與安全性。
資料中心與雲服務平臺支撐著許多與日常密切相關的數字服務、運營與交易——電子銀行與支付、網約車、電商、數字身份認證等。
一旦數字基礎設施被中斷或遭網路攻擊，對我們的經濟與人民日常活動會產生重大影響。
徹底消除這些風險並不現實——就像所有數字系統一樣，由於種種原因，中斷會偶有發生。
但同樣不負責任的是——當存在外溢效應（影響整體經濟、社會、國家安全、新加坡國際聲譽）時，政府如果完全放手，讓 CSP、DC 運營商與他們的企業客戶之間純粹靠商業安排來處理。
因此，DIA 將要求重大 CSP 與資料中心採取措施管理安全風險、把中斷降到最低、確保業務連續性。
這包括基於去年釋出的《資料中心與雲提供商諮詢指南》制定的事前要求，以及事後事件報告要求。
我們準備好後會分享更多資訊。
DIA 將是確保新加坡數字基礎設施可持續、有韌性、網路安全的重要一步——重要的是，能夠滿足未來需求。
我要感謝許多就 DIA 提供意見的利益相關方與合作伙伴；當我們今年稍後正式提交立法時，懇請各位繼續支援這項重要法律。
我以一個問題與一個邀請來結束今早的發言。
問題是：「在 AI 無處不在的未來世界裡，數字基礎設施會是什麼樣子？」
新加坡一貫投資數字連通基礎設施，確保它面向未來，併成為我們企業的戰略競爭優勢之源。
30 年前，我們啟動了「Singapore ONE」專案，把全 IP 核心鋪到了我們的電信基礎設施裡——這把新加坡帶上了網。
15 年前，我們大跨步推出「下一代國家寬頻網路」，把光纖拉到所有家庭與企業，成為全球第一個提供全國 1 Gbps 連線的國家——把新加坡帶進了寬頻世界。
5 年前，我們部署了獨立組網的移動 5G（SA）網路，成為最早實現全國 SA 覆蓋的國家之一——把新加坡帶進了「移動優先」的數字世界。
展望未來 5 到 10 年——AI 驅動的服務與系統將深度交織進我們的日常生活與活動：工作場所與家中的機器人、執行任務並支撐我們決策的智慧體，以及更多今天還無法想象的創新。
但有一件事是確定的：我們的數字基礎設施必須演化、重新整理，跟上這一波 AI 創新。它必須持續做到面向未來、有韌性、安全、能響應新需求。
新加坡沒有水晶球，但我們希望是最早把握這個未來輪廓的人之一，並能與夥伴一起在新加坡使這個未來成為現實。
在這方面，我很高興 COE AAI 將藉助新電信的基礎設施，特別是它的邊緣網路，加速這一空間的發展。
像「榜鵝數碼區」（Punggol Digital District, PDD）這樣的環境，可以作為公司大規模測試與打磨 AI 應用的試驗場。
公司們在真實運營環境裡實驗與測試具身 AI、機器人、自主系統等技術。
為支援這一點，IMDA 與新加坡理工大學（SIT）、裕廊集團（JTC）合作，打造「片區級機器人試驗場」（precinct scale robotics testbed），讓產業夥伴能共同開發、試點、商業化並規模化真實世界的機器人方案。
另一個例子是松下（Panasonic）去年在 PDD 啟用的旗艦創新中心，他們正試點一套「AI 驅動的人—機—設施」自動化系統，用於智慧樓宇與機器人應用。
NTUC 平價集團（FairPrice Group）則開設了世界上第一家由生成式 AI 驅動的超市。
我邀請產業利益相關方與技術夥伴一起加入我們，去發現並塑造未來的數字基礎設施。
結束之前，我再次向新電信與英偉達致以最誠摯的祝賀。
我期待看到這個中心在未來幾年裡產生的影響與成長。
非常感謝大家。
英文原文
MDDI 官網原始記錄 · 抓取日期: 2026-05-02
Mr Bill Chang, CEO of Singtel Digital InfraCo,
Mr Marc Hamilton, Vice President, Solutions Architecture and Engineering, NVIDIA,
Distinguished guests, friends and colleagues,
Good morning. I’m very happy to join all of you today for the launch of the Singtel–NVIDIA Centre of Excellence for Applied AI (COE AAI).
Bill, Marc – Congratulations to both your teams for bringing this Centre to life. This is an important partnership, and I am glad to be here to mark its launch.
At Budget 2026, Prime Minister Lawrence Wong set out the Government’s ambition for Singapore to harness AI as a strategic advantage.
As PM put it, Singapore’s advantage does not lie in building the largest frontier models – it lies in deploying AI effectively, responsibly, and at speed.
We are focused on how AI can be harnessed to solve real world problems and create value for our businesses and people.
An important part of this effort is to foster an ecosystem of innovators and engineers who can develop and deploy AI solutions across our economy.
Since we launched the refreshed National AI Strategy in end-2023, more than 60 AI Centres of Excellence (COEs) have been set up across Singapore.
Some of these are sectoral COEs that bring together research institutions, industry, and government to develop AI solutions for common challenges across the entire industry value chain. An example is the Sectoral AI COE for Manufacturing, which is working on predictive maintenance and quality assurance for the sector.
Others are company COEs, where individual businesses are building up their internal AI capabilities to improve their work processes, delivering better services to customers.
The SIT x NVIDIA AI Centre (SNAIC) is a welcome addition to the ecosystem. The Centre helps businesses – large and small, to testbed, develop, and implement AI solutions.
To date, the SNAIC has supported 70 companies to deploy 50 AI solutions with real business impact across industry sectors such as manufacturing, healthcare, finance, and transport.
For example, SNAIC worked with Tan Tock Seng Hospital to develop collaborative AI tools that support clinicians in delivering faster and more accurate care.
One such tool is the Automated Visual Acuity Detection that uses AI-driven speech recognition and posture monitoring to automate eye tests – this in comparison to more traditional methods that require significant clinician involvement.
These AI tools have reduced clinicians’ workload, reduced patient waiting times, enabled faster eyesight testing, and provided better support for patients in their recovery journey.
The reality is that the development and deployment of such AI-powered digital solutions in the real world cannot be done by AI. We need model makers, engineers, developers, data scientists and many more roles to run advanced computing platforms, contribute to applied AI research and development, and build solutions.
Singapore is committed to nurture a deep pool of tech and AI talent as part of our national AI push. MDDI will share further plans at the coming Budget/COS debates in Parliament.
I am glad that Singtel and NVIDIA are strong supporters of this effort.
The SNAIC AI Programme, supported under IMDA’s TechSkills Accelerator initiative, will provide fresh graduates and mid-career professionals with two months of intensive upskilling based on NVIDIA’s Deep Learning Institute curriculum. They will also gain practical skills from four months of hands-on industry projects.
We are also expanding the pool of AI practitioners through the AI Apprenticeship Programme under AI Singapore and collaborations with leading technology companies such as Singtel. After the programme, these practitioners take on roles such as AI and machine learning engineers in companies across the ecosystem. Many of them eventually join these companies on a full-time basis after their apprenticeship.
Another critical enabling element is the digital infrastructure on which these platforms and solutions are built and run on. This morning, let me touch on two of them – data centres, or DCs, and cloud services platforms.
Singapore is a regional data centre hub with one of the highest concentrations of DCs in the region.
These data centres are foundational to our digital economy.
They house the compute capacity that supports Singapore’s AI ambitions.
But they are also intensive users of resources, especially power and water.
Today, Singapore already hosts more than 1.4 gigawatts of DC capacity, and we can only expect the demand for DCs to grow with the increased use of AI.
It is therefore crucial for Singapore, a compact city-state with natural resource constraints, to ensure that this growth is sustainable.
IMDA launched the Green Data Centre Roadmap in May 2024 to chart a sustainable growth pathway and turn Singapore’s resource constraints into opportunity.
We are helping data centres tap on green energy sources for growth and take concrete steps to improve their energy efficiency.
To support industry in this shift, we launched the Energy Efficiency Grant for the DC sector to help operators and users refresh their IT equipment to more energy-efficient models.
We also released the IT Energy Efficiency standard in Jun 2025 to guide DC operators and users on selecting energy-efficient IT equipment, and operating IT equipment more efficiently.
Later this year, MDDI will table the Digital Infrastructure Act (DIA) in parliament.
The proposed new legislation seeks to establish baseline energy efficiency requirements for all data centres – existing and new ones that will be built. We will start by imposing Power Usage Effectiveness (PUE) requirements on data centres.
MDDI and IMDA have been consulting industry stakeholders to ensure that the proposed requirements – while ambitious – are practicable and consistent with international benchmarks.
We want to the DCs in Singapore to be more energy efficient and sustainable – not just for new DCs built in the coming years, but also existing DCs as they refresh their technologies and IT equipment over time to meet the DIA requirements.
By systematically raising the energy efficiency and sustainability of all our DCs, we can create more headroom to support the growing demands of Singapore’s digital economy, particularly with the push for AI adoption.
Beyond sustainability, the DIA will also establish requirements to enhance the resilience and security of major cloud service providers (CSPs) and the data centres.
Data Centres and cloud services platforms enable digital services, operations, and transactions across many essential day-to-day functions such as e-banking and payments, ride-hailing, e-commerce, and digital identity authentication.
There will be significant impact to our economy and people’s daily activities should disruptions or cyber-attacks to the digital infrastructure occur.
While it is not realistic to eliminate these risks, like all digital systems, such disruptions may happen from time to time, due to different reasons.
But at the same time, it is irresponsible for the Government to take a hands-off approach and leave it entirely to commercial arrangements between the CSPs, data centre operators and their enterprise customers, when there are spillover implications to the broader economy, society, national security and Singapore’s international reputation.
The DIA will therefore require major CSPs and data centres to implement measures to manage security risks, minimise disruptions, and ensure business continuity.
These include ex-ante requirements based on the Advisory Guidelines for Data Centres and Cloud Providers released last year, as well as ex-post incident reporting requirements.
We will share more information when ready.
The DIA will be a major step to ensure that Singapore’s digital infrastructure is sustainable, resilient and cybersecure, and importantly able to meet future demands.
I would like to thank the many stakeholders and partners that have contributed your views to the DIA, and I seek your continued support for this important legislation when we introduce it later this year.
I would end my remarks this morning by posing a question and sending out an invitation to all of you.
The question is: “How does the digital infrastructure look like in the future AI-pervasive world?”.
Singapore has consistently invested in our digital connectivity infrastructure to ensure it is future ready and a source of strategic competitive advantage for our enterprises.
30 years ago, we launched the Singapore ONE project which put in place a fully IP core across our telecommunication infrastructure. This brought Singapore online.
15 years ago, we took a major step to implement the Next Generation National Broadband Network which pulled fibre optic cables to all homes and businesses, becoming the first country to provide up to 1Gbps connection nationwide. This brought Singapore into the broadband world.
Five years ago, we deployed mobile 5G Standalone (SA) Networks, becoming one of the first countries to have nationwide SA coverage. This brought Singapore into a mobile-first digital world.
Looking into the next five to 10 years, AI-powered services and systems will be deeply interwoven into our daily lives and activities, from robots in workplaces and homes, to agents carrying out tasks and supporting our decisions, to many more innovations that we have yet to imagine.
But what is clear is that our digital infrastructure must evolve and refresh to keep pace with this wave of AI innovation. It must continue to be future-ready, resilient, secure and responsive to new demands.
While we don’t have a crystal ball in Singapore, we want to be among the first to grasp the contours of this future and be able to work with partners to enable this future here.
In this regard, I am glad that the COE AAI will be tapping on Singtel’s infrastructure, especially its edge networks to accelerate development in this space.
Environments like the Punggol Digital District (PDD) can serve as testbeds for companies to test and refine their AI applications at scale.
Companies are experimenting and testing technologies such as embodied AI, robotics, and autonomous systems in a real, operational environment.
To support this, IMDA is partnering with SIT and JTC to create a precinct scale robotics testbed that enables industry partners to co-develop, pilot, commercialise, and scale real world robotics solutions.
Another example is Panasonic that launched its flagship Innovation Hub at PDD last year. It is piloting an AI-driven Human-Robot-Facility automation system for smart building and robotics applications.
And NTUC FairPrice Group opened the world’s first generative AI-powered supermarket.
I invite industry stakeholders, technology partners to join us in discovering and shaping the future digital infrastructure.
In closing, let me once again extend my heartiest congratulations to Singtel and NVIDIA.
I look forward to seeing the Centre’s impact and growth in the years ahead.
Thank you very much.