MDDI 演讲稿 · 2024-08-30
陈杰豪高级政务部长在数据与 AI 世界巡展新加坡站上的演讲
Speech by SMS Tan Kiat How at the Data and AI World Tour Singapore
要点
- • AI 对话从「炒作」转向「企业与个人如何受益」。微软 + LinkedIn：6 个月内职场生成式 AI 使用率几乎翻倍。
- • 新加坡 SME 占企业 99%、贡献 70% 就业、50% GDP——让 SME 上 AI 是关键。MDDI《数码企业蓝图》（6 月）+ SMEs Go Digital（最高 70% 补助）+ 22 个行业数字化计划（IDP）。
- • 高质量数据是 AI 基础。Databricks 案例：Grab 用 Data Intelligence Platform 建 C360（统一客户数据）；GetGo 用 Warehouse + Unity Catalog 升级数据管理；其他客户含 Standard Chartered、GovTech、AI Singapore。
- • 公告：Databricks 把「亚太区域总部」落户新加坡——扩大销售、市场、现场工程、战略、数据/AI 等职位招聘；与 EDB 在谈。
- • 新公告：Databricks 与 NTUC LearningHub、NUS ICT Academy 合作——3 年内培训 10,000+ 人具备先进数据与 AI 技能；Databricks 迄今已在新加坡培训 3,000+ 数据与 AI 专业人士。
- • TeSA 已对接 17,000+ 本地人进入科技岗位、升级 / 转型 23.1 万+ 专业人士。
完整译文（中文）
MDDI 英文原文译文 · 翻译日期：2026-05-03
本文已从早期版本的网站迁移过来——格式可能有不一致之处。
数码发展及新闻部高级政务部长 Tan Kiat How 先生在 Databricks「Data + AI World Tour 新加坡」上的演讲（2024 年 8 月 30 日）
Databricks 亚太与日本区高级副总裁兼总经理 Ed Lenta 先生，
ASEAN 与大中华区副总裁兼总经理 Cecily Ng 女士，
亚太与日本现场工程副总裁 Nick Eayrs 先生，
各位女士、先生：
早安——感谢邀请我出席 Databricks「Data + AI World Tour 新加坡」。
我很高兴你们选了新加坡作为「世界巡演」的一站。我也想说——我们欢迎所有的「世界巡演」来新加坡。
过去一年——我们看到 AI 的对话——从「炒作与兴奋」——转向更扎实、更聚焦于「组织与个人如何从 AI 与生成式 AI 中受益」。
a. 有意思的是——个人最常用 AI 来做的事——是简化日常任务——回复消息、规划行程、甚至策划社交媒体内容。
b. 我们也看到——各行业（从教育到法律）的员工——越来越多地用 AI 自动化工作流——节省时间、提升生产力。微软与 LinkedIn 的报告显示——职场生成式 AI 工具的使用率在 6 个月里几乎翻倍。
在个人层面之外——AI 也通过自动化常规任务、简化复杂流程，给企业带来价值。这让企业能更有效地分配资源——提升生产力与效率。
a. 福布斯顾问 2024 年的一项调研发现——约 40% 的公司用 AI 做数据聚合、38% 借力 AI 做创意生成。这显示——AI 不仅能优化业务运营与任务，也能促进创新、保持竞争领先。
b. 企业也期望 AI 改善客户关系、推动销售增长。比如在销售与营销中——AI 算法被证明能给出关于客户行为的更好洞察——使销售线索增加 50%、成本降低高达 60%。
新加坡政府认识到 AI 给企业带来的「正面但具潜在颠覆性」的影响——并鼓励公司（尤其是中小企业，SME）采用这项技术。它们是重要的利益相关方。在新加坡——SME 约占所有企业的 99%、约 70% 的就业、约 50% 的 GDP——是经济的关键构成。让更多 SME 采用 AI——会让技术收益更广基地扩散——提升公司、改善员工的福祉与机会。
但与较大型组织相比——SME 通常缺乏把 AI 工具纳入业务流程的资源与能力。我们意识到——SME 需要更多一些支持。
这就是为什么——MDDI 在今年 6 月推出《数码企业蓝图》（Digital Enterprise Blueprint）——为我们的企业铺出数字化的下一阶段。该蓝图勾勒的聚焦领域之一——是赋能 SME「Be Smarter」（变得更聪明）——这包括催化 AI 加持方案等新兴技术的采用——装备 SME 提升生产力、做出创新。
a. 比如——IMDA 的「SMEs Go Digital」倡议——致力于提升预先核准方案提供者的 AI 能力。在该倡议下采用方案的 SME——能从「即用、可负担的 AI 加持方案」中受益。政府对采用此类方案的 SME——提供最高 70% 的资金支持。
b. 在行业层级——我们已在多个行业推出 22 项「行业数字化计划」（IDP）——为不同成长阶段的 SME 推荐数字方案。每个 SME 都能找到适合自己的——从刚起步的，到更成熟的。这些 IDP 正逐步刷新——纳入行业特定的 AI 方案。
这些倡议把 AI 工具变得更易获得——为广义企业提供资源、资金与路径。
我们也认识到——「高质量数据」是任何有效 AI 系统的基础。没有准确、一致、组织良好的数据——AI 算法无法正常学习或产出有意义的洞察。这会带来糟糕的分析、糟糕的决策。
福布斯 2024 年报告凸显——AI 采用的主要障碍之一——是「应对不准确、不可获取的数据」。也缺乏「如何收集、存储、利用数据」的 know-how。
我很高兴 Databricks 在新加坡有强势布局。Databricks 在帮公司解决「确保数据隐私、管理控制问题、克服数据孤岛」等关键议题上扮演重要角色。
a. 比如——Grab——我们大多数人都熟悉的 App——一开始他们的所有数据散落在不同产品团队、被用于不同职能。借助 Databricks 的「Data Intelligence Platform」——Grab 开发了内部方案「C360」——让员工能从一个地方更容易地访问消费者数据与洞察。
b. C360 也让 Grab 能用「整体客户数据」训练 AI 工具——提升「预测消费者需求与做应用内推荐」的能力——进而增强了用户体验。
c. 再举一个例子。出行服务商 GetGo——他们的「老旧数据环境」无法支持来自多个来源的数据——所以在落地 AI 与 ML 工具时挣扎。他们选择借力 Databricks 的「Warehouse」与「Unity Catalog」——刷新数据管理与治理流程。这让他们如今能用 AI 等工具来提升运营效率与市场效能——比如用 AI 把客户与车辆匹配、做预测性维护提醒、减少欺诈活动。
类似的例子还有许多——渣打银行（Standard Chartered）、GovTech、AI Singapore 等等——它们说明——像 Databricks 这样的公司——是我们 AI 行业发展中的关键使能者。
因此——我很激动地宣布——Databricks 将把「亚太区域总部」落户新加坡。该公司将在销售、市场、现场工程、战略、数据与 AI 等职位上扩大本地存在。Databricks 也承诺——更多基于新加坡的高级领导担任区域性角色。该公司目前正与新加坡经济发展局（EDB）讨论——并将在适当时分享更多细节。
Databricks 把区域总部落户新加坡的决定——反映了新加坡作为东南亚枢纽的优势。许多企业认可新加坡的强项——数字与物流连通性、技能型劳动力、有活力的创新与初创生态。我们的政策也支持企业进入新加坡——透明的监管实践、对稳定与中立的声誉。这些是我们持续守护并投入的重要资产——确保我们对全球希望加入我们生态的公司与人——保持相关。
另外——我们更新版的《国家 AI 战略 2.0》——也强化了政府对推动 AI 发展、培育「能吸引像 Databricks 这样创新公司」的有活力 AI 生态的承诺。
我们相信——Databricks 会是我们技术格局里有价值的新成员——他们的存在——会帮助我们达成 AI 雄心。
在我们欢迎并鼓励企业采用 AI 的同时——我们也要记得——「员工是企业的核心」。
在最近的国庆群众大会上——黄循财总理谈到了「构建技能保持竞争力」的重要性。面对快速变化的产业与工作场所——黄总理分享道，引述他的话——「要适应这种翻涌——我们都必须拥抱终身学习」。
对我们的科技工作者而言——有许多激动人心的机会。我们必须持续再培训与升级——抓住这些机会、保持相关。我们已为劳动力引入多种「培训、升级、再培训」的途径——以保持适应力。
a. 比如——IMDA 的「TechSkills Accelerator」——支持员工向科技岗位转型——并确保既有科技劳动力具备相关技能。在 TeSA 之下——我们看到 17,000 多名本地人被对接到科技岗位——23.1 万多名专业人士被升级与再培训。
b. 我们「信息与通信工作转型地图」之下的培训伙伴——也为有意升级的员工提供约 200 门 AI 相关课程。截至去年 12 月——已有 1,600 多人接受培训成为「自信的 AI 使用者」。
自我们去年启动更新版《国家 AI 战略》以来——我们看到许多产业伙伴站出来——提供培训倡议与课程——壮大 AI 实务者与 AI 使用者的池子。我鼓励大家——尽快充分利用这些资源。
Databricks 是个好例子。迄今——Databricks 已在新加坡培训了 3,000 多名数据与 AI 专业人士——为本地人才池的发展做出重要贡献。
作为「构建本地劳动力」承诺的信号——我很高兴宣布——Databricks 将与 NTUC LearningHub 与 NUS ICT Academy 合作推出新培训项目。
a. 员工可以期待相关课程——提升对数据与 AI 的理解、并学习如何更好地使用 Databricks 工具与服务。
b. 通过这一合作——Databricks 计划在未来 3 年内——培训超过 10,000 人具备先进的数据与 AI 技能。
这些倡议帮助创造新的升级与再培训机会——并在我们的生态中培育终身学习的文化。
我感谢 Databricks 对推动我们数字经济与员工的承诺——尤其是在 AI 上的承诺。祝你们成功——我也相信——携手——我们能继续培育创新与学习的文化——最终把新加坡建设为「面向世界的科技与创新枢纽」——为各行业、公司、员工——在新加坡与海外——提供支持。
谢谢。
英文原文
MDDI 官网原始记录 · 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.