MDDI 演講稿 · 2024-08-30
陳杰豪高階政務部長在資料與 AI 世界巡展新加坡站上的演講
要點
- • AI 對話從「炒作」轉向「企業與個人如何受益」。微軟 + LinkedIn：6 個月內職場生成式 AI 使用率幾乎翻倍。
- • 新加坡 SME 佔企業 99%、貢獻 70% 就業、50% GDP——讓 SME 上 AI 是關鍵。MDDI《數碼企業藍圖》（6 月）+ SMEs Go Digital（最高 70% 補助）+ 22 個行業數字化計劃（IDP）。
- • 高質量資料是 AI 基礎。Databricks 案例：Grab 用 Data Intelligence Platform 建 C360（統一客戶資料）；GetGo 用 Warehouse + Unity Catalog 升級資料管理；其他客戶含 Standard Chartered、GovTech、AI Singapore。
- • 公告：Databricks 把「亞太區域總部」落戶新加坡——擴大銷售、市場、現場工程、戰略、資料/AI 等職位招聘；與 EDB 在談。
- • 新公告：Databricks 與 NTUC LearningHub、NUS ICT Academy 合作——3 年內培訓 10,000+ 人具備先進資料與 AI 技能；Databricks 迄今已在新加坡培訓 3,000+ 資料與 AI 專業人士。
- • TeSA 已對接 17,000+ 本地人進入科技崗位、升級 / 轉型 23.1 萬+ 專業人士。
完整譯文（繁體中文）
MDDI 英文原文譯文 · 翻譯日期: 2026-05-03
本文已從早期版本的網站遷移過來——格式可能有不一致之處。
數碼發展及新聞部高階政務部長 Tan Kiat How 先生在 Databricks「Data + AI World Tour 新加坡」上的演講（2024 年 8 月 30 日）
Databricks 亞太與日本區高階副總裁兼總經理 Ed Lenta 先生，
ASEAN 與大中華區副總裁兼總經理 Cecily Ng 女士，
亞太與日本現場工程副總裁 Nick Eayrs 先生，
各位女士、先生：
早安——感謝邀請我出席 Databricks「Data + AI World Tour 新加坡」。
我很高興你們選了新加坡作為「世界巡演」的一站。我也想說——我們歡迎所有的「世界巡演」來新加坡。
過去一年——我們看到 AI 的對話——從「炒作與興奮」——轉向更紮實、更聚焦於「組織與個人如何從 AI 與生成式 AI 中受益」。
a. 有意思的是——個人最常用 AI 來做的事——是簡化日常任務——回覆訊息、規劃行程、甚至策劃社交媒體內容。
b. 我們也看到——各行業（從教育到法律）的員工——越來越多地用 AI 自動化工作流——節省時間、提升生產力。微軟與 LinkedIn 的報告顯示——職場生成式 AI 工具的使用率在 6 個月裡幾乎翻倍。
在個人層面之外——AI 也通過自動化常規任務、簡化複雜流程，給企業帶來價值。這讓企業能更有效地分配資源——提升生產力與效率。
a. 福布斯顧問 2024 年的一項調研發現——約 40% 的公司用 AI 做資料聚合、38% 借力 AI 做創意生成。這顯示——AI 不僅能最佳化業務運營與任務，也能促進創新、保持競爭領先。
b. 企業也期望 AI 改善客戶關係、推動銷售增長。比如在銷售與營銷中——AI 演算法被證明能給出關於客戶行為的更好洞察——使銷售線索增加 50%、成本降低高達 60%。
新加坡政府認識到 AI 給企業帶來的「正面但具潛在顛覆性」的影響——並鼓勵公司（尤其是中小企業，SME）採用這項技術。它們是重要的利益相關方。在新加坡——SME 約佔所有企業的 99%、約 70% 的就業、約 50% 的 GDP——是經濟的關鍵構成。讓更多 SME 採用 AI——會讓技術收益更廣基地擴散——提升公司、改善員工的福祉與機會。
但與較大型組織相比——SME 通常缺乏把 AI 工具納入業務流程的資源與能力。我們意識到——SME 需要更多一些支援。
這就是為什麼——MDDI 在今年 6 月推出《數碼企業藍圖》（Digital Enterprise Blueprint）——為我們的企業鋪出數字化的下一階段。該藍圖勾勒的聚焦領域之一——是賦能 SME「Be Smarter」（變得更聰明）——這包括催化 AI 加持方案等新興技術的採用——裝備 SME 提升生產力、做出創新。
a. 比如——IMDA 的「SMEs Go Digital」倡議——致力於提升預先核准方案提供者的 AI 能力。在該倡議下采用方案的 SME——能從「即用、可負擔的 AI 加持方案」中受益。政府對採用此類方案的 SME——提供最高 70% 的資金支援。
b. 在行業層級——我們已在多個行業推出 22 項「行業數字化計劃」（IDP）——為不同成長階段的 SME 推薦數字方案。每個 SME 都能找到適合自己的——從剛起步的，到更成熟的。這些 IDP 正逐步重新整理——納入行業特定的 AI 方案。
這些倡議把 AI 工具變得更易獲得——為廣義企業提供資源、資金與路徑。
我們也認識到——「高質量資料」是任何有效 AI 系統的基礎。沒有準確、一致、組織良好的資料——AI 演算法無法正常學習或產出有意義的洞察。這會帶來糟糕的分析、糟糕的決策。
福布斯 2024 年報告凸顯——AI 採用的主要障礙之一——是「應對不準確、不可獲取的資料」。也缺乏「如何收集、儲存、利用資料」的 know-how。
我很高興 Databricks 在新加坡有強勢佈局。Databricks 在幫公司解決「確保資料隱私、管理控制問題、克服資料孤島」等關鍵議題上扮演重要角色。
a. 比如——Grab——我們大多數人都熟悉的 App——一開始他們的所有資料散落在不同產品團隊、被用於不同職能。藉助 Databricks 的「Data Intelligence Platform」——Grab 開發了內部方案「C360」——讓員工能從一個地方更容易地訪問消費者資料與洞察。
b. C360 也讓 Grab 能用「整體客戶資料」訓練 AI 工具——提升「預測消費者需求與做應用內推薦」的能力——進而增強了使用者體驗。
c. 再舉一個例子。出行服務商 GetGo——他們的「老舊資料環境」無法支援來自多個來源的資料——所以在落地 AI 與 ML 工具時掙扎。他們選擇借力 Databricks 的「Warehouse」與「Unity Catalog」——重新整理資料管理與治理流程。這讓他們如今能用 AI 等工具來提升運營效率與市場效能——比如用 AI 把客戶與車輛匹配、做預測性維護提醒、減少欺詐活動。
類似的例子還有許多——渣打銀行（Standard Chartered）、GovTech、AI Singapore 等等——它們說明——像 Databricks 這樣的公司——是我們 AI 行業發展中的關鍵使能者。
因此——我很激動地宣佈——Databricks 將把「亞太區域總部」落戶新加坡。該公司將在銷售、市場、現場工程、戰略、資料與 AI 等職位上擴大本地存在。Databricks 也承諾——更多基於新加坡的高階領導擔任區域性角色。該公司目前正與新加坡經濟發展局（EDB）討論——並將在適當時分享更多細節。
Databricks 把區域總部落戶新加坡的決定——反映了新加坡作為東南亞樞紐的優勢。許多企業認可新加坡的強項——數字與物流連通性、技能型勞動力、有活力的創新與初創生態。我們的政策也支援企業進入新加坡——透明的監管實踐、對穩定與中立的聲譽。這些是我們持續守護並投入的重要資產——確保我們對全球希望加入我們生態的公司與人——保持相關。
另外——我們更新版的《國家 AI 戰略 2.0》——也強化了政府對推動 AI 發展、培育「能吸引像 Databricks 這樣創新公司」的有活力 AI 生態的承諾。
我們相信——Databricks 會是我們技術格局裡有價值的新成員——他們的存在——會幫助我們達成 AI 雄心。
在我們歡迎並鼓勵企業採用 AI 的同時——我們也要記得——「員工是企業的核心」。
在最近的國慶群眾大會上——黃循財總理談到了「構建技能保持競爭力」的重要性。面對快速變化的產業與工作場所——黃總理分享道，引述他的話——「要適應這種翻湧——我們都必須擁抱終身學習」。
對我們的科技工作者而言——有許多激動人心的機會。我們必須持續再培訓與升級——抓住這些機會、保持相關。我們已為勞動力引入多種「培訓、升級、再培訓」的途徑——以保持適應力。
a. 比如——IMDA 的「TechSkills Accelerator」——支援員工向科技崗位轉型——並確保既有科技勞動力具備相關技能。在 TeSA 之下——我們看到 17,000 多名本地人被對接到科技崗位——23.1 萬多名專業人士被升級與再培訓。
b. 我們「資訊與通訊工作轉型地圖」之下的培訓夥伴——也為有意升級的員工提供約 200 門 AI 相關課程。截至去年 12 月——已有 1,600 多人接受培訓成為「自信的 AI 使用者」。
自我們去年啟動更新版《國家 AI 戰略》以來——我們看到許多產業夥伴站出來——提供培訓倡議與課程——壯大 AI 實務者與 AI 使用者的池子。我鼓勵大家——儘快充分利用這些資源。
Databricks 是個好例子。迄今——Databricks 已在新加坡培訓了 3,000 多名資料與 AI 專業人士——為本地人才池的發展做出重要貢獻。
作為「構建本地勞動力」承諾的訊號——我很高興宣佈——Databricks 將與 NTUC LearningHub 與 NUS ICT Academy 合作推出新培訓專案。
a. 員工可以期待相關課程——提升對資料與 AI 的理解、並學習如何更好地使用 Databricks 工具與服務。
b. 通過這一合作——Databricks 計劃在未來 3 年內——培訓超過 10,000 人具備先進的資料與 AI 技能。
這些倡議幫助創造新的升級與再培訓機會——並在我們的生態中培育終身學習的文化。
我感謝 Databricks 對推動我們數字經濟與員工的承諾——尤其是在 AI 上的承諾。祝你們成功——我也相信——攜手——我們能繼續培育創新與學習的文化——最終把新加坡建設為「面向世界的科技與創新樞紐」——為各行業、公司、員工——在新加坡與海外——提供支援。
謝謝。
英文原文
MDDI 官網原始記錄 · 抓取日期: 2026-05-02
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Speech by Mr Tan Kiat How, Senior Minister of State for Digital Development and Information at the Data + AI World Tour Singapore on 30 August 2024
Mr Ed Lenta, Senior Vice President and General Manager of Asia Pacific and Japan,
Ms Cecily Ng, Vice President and General Manager of ASEAN and Greater China,
Mr Nick Eayrs, Vice President of Field Engineering, Asia Pacific and Japan,
Ladies and Gentlemen
Good morning and thank you for your invitation to Databricks’ Data + AI World Tour Singapore.
I am glad that you have chosen Singapore to be one of the stops on your World Tour. I must add that we welcome all World Tours to Singapore.
Over the past year, we have seen how the conversation on AI has shifted from hype and excitement to a more grounded and sharper focus on how organisations and individuals can benefit from AI and GenAI.
a. Interestingly, the most popular uses of AI amongst individuals involve streamlining daily tasks such as responding to messages, planning travel itineraries and even curating social media posts.
b. We have also seen a rise in the number of workers across industries – from education to law – using AI technology to automate their workflows to save time and boost productivity. Microsoft and LinkedIn reported that usage of Generative AI tools in the workplace had almost doubled in a span of 6 months.
Beyond an individual level, AI also brings value to enterprises by automating routine tasks and streamlining complex processes. This allows businesses to allocate resources more effectively, thereby improving productivity and efficiency.
a. A 2024 Forbes Adviser survey found that around 40% of companies utilise AI for data aggregation and 38% leverage AI for idea generation. These highlight how AI can be used to not just optimise business operations and tasks but innovate and stay ahead of the competition.
b. Businesses also expect AI to improve customer relationships and drive sales growth. In Sales and Marketing, for example, AI algorithms have been shown to provide better insights on customer behaviour, leading to an increase in sales leads by 50% and cost reductions of up to 60%.
The Singapore Government recognises the positive and potentially disruptive impact that AI brings to our enterprises and has encouraged our companies, particularly Small and Medium Enterprises, or SMEs to adopt the technology. They are an important set of stakeholders. In Singapore, SMEs account for about 99% of all business, about 70% of all jobs and around 50% of GDP. They are a vital component of the economy. Getting more SMEs to adopt AI will enable the benefits of the technology to be more broad-based, uplift companies and improve the welfare and opportunities for workers.
However, compared to larger organisations, SMEs typically often lack the resources and capabilities to incorporate AI tools into their business processes. We recognise that SMEs may need a little more support.
That is why earlier in June this year, MDDI launched the Digital Enterprise Blueprint to set out the next bound of digitalisation for our enterprises. One of the focus areas outlined in this Blueprint is to empower our SMEs to be “Be Smarter”. This includes catalysing the adoption of emerging technologies, especially AI-enabled solutions, to equip SMEs to improve their productivity and innovate.
a. For instance, IMDA’s SMEs Go Digital initiative is committed to raise the AI capabilities of the pre-approved solution providers. SMEs that adopt solutions under this initiative will be able to benefit from ready-to-use and affordable AI-enabled solutions. The Government provides up to 70% funding support to SMEs adopting these solutions under this programme.
b. At the sector level, we have launched 22 Industry Digital Plans, or IDPs, across a wide range of sectors that point SMEs to the recommended digital solutions to adopt at different stages of their growth. There’s something for every SME in different industries, ranging from SMEs just starting out to those that are more matured. These IDPs are progressively being refreshed to incorporate sector-specific AI solutions.
These initiatives help make AI tools more accessible by providing resources, funding and pathways to the broad base of enterprises.
We also recognise that high quality data is the foundation of any effective AI system. Without accurate, consistent, and well-organised data, AI algorithms cannot learn properly or generate meaningful insights. This can lead to flawed analyses and poor decision-making.
A 2024 Forbes report highlighted that one of the main barriers to AI adoption is the challenge of dealing with inaccurate and inaccessible data. There is also a lack of know-how regarding collecting, storing, and utilising data.
I’m pleased that Databricks is in Singapore and has a strong presence here. Databricks plays an important role in helping companies resolve critical issues such as ensuring data privacy, managing control issues and overcoming data silos.
a. For example, Grab, an app that most of us are familiar with, initially had all of their data spread across different product teams and being used for different functions. Using Databricks’ Data Intelligence Platform, Grab developed an in-house solution, the C360, to make it easier for employees to access consumer data and insights from one place.
b. C360 also enabled Grab to train their AI tools with holistic customer data, improving their ability to predict consumer needs and make in-app recommendations, and in turn, enhancing their user experience.
c. Let me give you another example. GetGo, a mobility service provider, struggled to implement AI and machine learning tools as their legacy data environment was not able to support data from multiple sources. They chose to tap on Databricks’ Warehouse and Unity Catalog to refresh their data management and governance process. This now allows them to use tools like AI to improve their operational efficiency and market effectiveness. For instance, they now use AI to match customers with vehicles, provide predictive maintenance alerts and reduce fraudulent activity.
There are many more examples out there – including Standard Chartered Bank, GovTech, AI Singapore to name a few, which illustrate that companies like Databricks are critical enablers in our AI industry development efforts.
I am therefore excited to announce that Databricks will be locating its regional headquarters here in Singapore. The company will expand its local presence across roles such as sales, marketing, field engineers, strategy, data and AI professionals here. Databricks has also committed to hiring more senior leaders based out of Singapore for their regional roles. The company is in discussions with EDB and will share more details in due time.
Databrick’s decision to locate their regional HQ in Singapore reflects the advantages that Singapore offers as a hub for Southeast Asia. Many businesses recognise Singapore's strengths in our digital and logistics connectivity, skilled workforce, vibrant innovation and start-up ecosystem. These are further enhanced by our policies that support businesses’ entry into Singapore, transparent regulatory practices, and a reputation for stability and neutrality. These are important assets that we continue to safeguard and invest in to make sure that we are relevant to companies, and people around the world who want to be part of our ecosystem.
In addition, our refreshed National AI Strategy 2.0 reinforces the Government’s commitment to advancing the development of AI and fostering a vibrant AI ecosystem that would attract innovative companies like Databricks.
We believe that Databricks would be a valuable addition to our technological landscape and that their presence here will help us meet our AI ambitions.
While we welcome and encourage adoption of AI for our businesses, we also need to remember that our workers are the core of our businesses.
In the recent National Day Rally, PM Wong spoke about the importance of building up our skills to stay competitive. In the face of rapidly changing industries and workplaces, PM Wong shared, and I quote, that “to adapt to this churn, we must all embrace lifelong learning”.
For our tech workers, there are many exciting opportunities. We must continue to reskill and upgrade ourselves to seize these opportunities and remain relevant. We have introduced various avenues for our workforce to be trained, upskilled and reskilled to remain adaptable.
a. IMDA’s TechSkills Accelerator, for instance, supports our workers’ transition into tech roles and ensures that our existing tech workforce remains equipped with relevant skills. Under TeSA, we have seen over 17,000 locals being placed in tech roles and over 231,000 professionals being upskilled and reskilled.
b. Our training partners under the Information & Communications Jobs Transformation Map also offer around 200 AI-related courses for workers looking to upskill themselves. As of December last year, over 1,600 people have been trained to be confident users of AI.
Since the launch of our refreshed National AI Strategy last year, we have seen many industry partners stepping up to offer training initiatives and courses to build up our pool of AI Practitioners and AI Users. I encourage you to make full use of these resources and to do so quickly.
Databricks is a good example. To date, Databricks has trained more than 3,000 data and AI professionals in Singapore, significantly contributing to the development of our local talent pool.
As a signal of their commitment to build up the local workforce, I am pleased to announce that Databricks will partner NTUC LearningHub and NUS ICT Academy on a new training programme.
a. Workers can look forward to courses to improve their understanding of data and AI, and learn how to better use Databricks tools and services.
b. With this collaboration, Databricks aims to train over 10,000 people in advanced data and AI skills over the next 3 years.
Such initiatives help to create new upskilling and reskilling opportunities for our workers and build this culture of lifelong learning in our ecosystem.
I thank Databricks for your commitment to advancing our digital economy and our workers here, especially in AI. I wish you success and together, I believe that we can continue to foster this culture of innovation and learning, and ultimately build Singapore up as a global hub for technology and innovation, supporting industries, sectors, companies and workers, here in Singapore and beyond.
Thank you.