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Straits Times
22-07-2025
- Business
- Straits Times
S'pore to increase pool of early adopters in AI to complement data scientists, engineers
Minister for Digital Development and Information Josephine Teo (right) spoke with Clay Chandler, executive editor of Asia at Fortune Magazine, on day one of the Fortune Brainstorm AI conference. SINGAPORE - Singapore plans to nurture an intrepid pool of artificial intelligence (AI) users to complement the data scientists and machine learning engineers it is currently training to take the nation into the digital future. 'We're talking about people who are in the professions - lawyers, accountants, doctors - who will become the early adopters of AI and then they show their peers how to make better use of it,' said Minister for Digital Development and Information Josephine Teo on July 22, the first day of the Fortune Brainstorm AI conference at The Ritz-Carlton. Mrs Teo was detailing how small states can develop their AI strategy to compete on a global stage dominated by large nations such as the United States and China during a fireside chat entitled 'Beyond scale: How small nations can lead in the age of AI'. The pool of AI users will have to far exceed the 15,000 AI practitioners whom Singapore already aims to nurture and hire, she said. She noted that the nation's workforce number about 3.5 million including those in manufacturing, healthcare, and financial services. 'They can demonstrate how (AI) can create more value for their organisations,' said Mrs Teo, adding that more details to equip the workforce with AI skills will be announced in the future. Mrs Teo was responding to a question from Fortune magazine's executive editor of Asia Clay Chandler about manpower development, as part of a larger dialogue about how Singapore is distinguishing its AI strategy on a global stage as a small island state. Plans to triple Singapore's talent pool of AI practitioners to 15,000 was first announced in December 2023. The group includes data and machine-learning scientists and engineers who are the backbone of translating AI into real-world apps. Mrs Teo also said that small states can find their own niche to compete in a fast-changing market. In January 2025 , China's DeepSeek launched its generative AI model that the start-up claimed cost only US$5.6 million (S$7.1 million) to train. This is a fraction of the hundreds of millions US tech giants have poured into training their large-language models (LLMs). Since then, Chinese tech leaders have contributed to the market with several low-cost AI services. Said Mrs Teo: 'From the perspective of bringing down costs, innovations such as DeepSeek are very much welcome.' Citing how Singapore found its niche in a language model it developed for the region, she said there is room for innovation even for small states. 'I would also say this whole dynamic is not necessarily only a competitive one, it is also mutually reinforcing,' she said, referring to homegrown invention Sea-Lion. Developed by AI Singapore, Sea-Lion was trained on 13 languages i ncluding Javanese, Sudanese, Malay, Tamil, Thai and Vietnamese, as well as English and Chinese. 'We know that large-language models that are trained primarily on a Western will have difficulties being applied in the South-east Asian context,' said Mrs Teo. 'If you built AI tools on top of these LLMs that didn't incorporate the kind of data that can be found in our part of the world, naturally, the quality and the way it performs and responds to prompts, will perhaps not meet the requirements of Singapore as well as our neighbouring countries.' She added: 'Many companies, when they are thinking about how they can develop for example, chat assistance that could be useful in our context, they would use a combination of both.' Sea-Lion has been tapped by some businesses for its language features, with Indonesia's GoTo Group among the first enterprises to adopt it as a base to build its own AI system. Singapore's space to innovate is expanded when factors such as ways to bring down costs and how AI models can complement each other are considered, said Mrs Teo. Singapore will also continue to engage all countries to build bilateral foundations and make headway in new technological fields, said Mrs Teo. She said this in response to a question from Mr Chandler about how the country can maintain a stance that is strategically unaligned amidst growing tensions between US and China. She cited the country's dialogue with the US on critical and emerging technologies, and a dialogue with China on digital policy. She added: 'They cover different areas of interest that we mutually believe are important for our own countries, but it doesn't prevent us from seeking to understand each other's concerns better, and continuing to find ways to move forward. 'With ASEAN countries, even if we are not ready to move into the era of standards in AI governance, there's nothing to prevent us from agreeing on what the ethical principles could look like first.'
Straits Times
22-07-2025
- Business
- Straits Times
Singapore to increase pool of early adopters in AI to complement data scientists, engineers
Minister for Digital Development and Information Josephine Teo (right) spoke with Clay Chandler, executive editor of Asia at Fortune Magazine, on day one of the Fortune Brainstorm AI conference. SINGAPORE – Singapore plans to nurture an intrepid pool of artificial intelligence (AI) users to complement the data scientists and machine learning engineers it is currently training to take the nation into the digital future. 'We're talking about people who are in the professions – lawyers, accountants, doctors – who will become the early adopters of AI and then they show their peers how to make better use of it,' said Minister for Digital Development and Information Josephine Teo on July 22, the first day of the Fortune Brainstorm AI conference at The Ritz-Carlton, Millenia Singapore. Mrs Teo was detailing how small states can develop their AI strategy to compete on a global stage dominated by large nations such as the United States and China, during a fireside chat entitled 'Beyond scale: How small nations can lead in the age of AI'. The pool of AI users will have to far exceed the 15,000 AI practitioners that Singapore already aims to nurture and hire, she said. She noted that the nation's workforce numbers about 3.5 million, including those in manufacturing, healthcare and financial services. 'They can demonstrate how (AI) can create more value for their organisations,' said Mrs Teo, adding that more details on equipping the workforce with AI skills will be announced in the future. The minister was responding to a question from Fortune magazine's executive editor of Asia Clay Chandler about manpower development, as part of a larger dialogue on how Singapore is distinguishing its AI strategy on the global stage as a small island state. Top stories Swipe. Select. 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Mrs Teo also said small states can find their own niche to compete in a fast-changing market. In January 2025, China's DeepSeek launched its generative AI model that the start-up claimed cost only US$5.6 million (S$7.2 million) to train. This is a fraction of the hundreds of millions US tech giants have poured into training their large language models (LLMs). Since then, Chinese tech leaders have contributed to the market with several low-cost AI services. Said Mrs Teo: 'From the perspective of bringing down costs, innovations such as DeepSeek are very much welcome.' Citing how Singapore found its niche in a language model it developed for the region, she said there is room for innovation even for small states. 'I would also say this whole dynamic is not necessarily only a competitive one, it is also mutually reinforcing,' she said, referring to home-grown invention Sea-Lion. Developed by AI Singapore, Sea-Lion was trained on 13 languages including Javanese, Sudanese, Malay, Tamil, Thai and Vietnamese, as well as English and Chinese. 'We know that large-language models that are trained primarily on a Western will have difficulties being applied in the South-east Asian context,' said Mrs Teo. 'If you built AI tools on top of these LLMs that didn't incorporate the kind of data that can be found in our part of the world, naturally, the quality and the way it performs and responds to prompts, will perhaps not meet the requirements of Singapore as well as our neighbouring countries.' She added: 'Many companies, when they are thinking about how they can develop for example, chat assistance that could be useful in our context, they would use a combination of both.' Sea-Lion has been tapped by some businesses for its language features, with Indonesia's GoTo Group among the first enterprises to adopt it as a base to build its own AI system. Singapore's space to innovate is expanded when factors such as ways to bring down costs and how AI models can complement each other are considered, said Mrs Teo. Singapore will also continue to engage all countries to build bilateral foundations and make headway in new technological fields, said Mrs Teo. She said this in response to a question from Mr Chandler about how the country can maintain a stance that is strategically unaligned amidst growing tensions between US and China. She cited the country's dialogue with the US on critical and emerging technologies, and a dialogue with China on digital policy. She added: 'They cover different areas of interest that we mutually believe are important for our own countries, but it doesn't prevent us from seeking to understand each other's concerns better, and continuing to find ways to move forward. 'With ASEAN countries, even if we are not ready to move into the era of standards in AI governance, there's nothing to prevent us from agreeing on what the ethical principles could look like first.'
Yahoo
07-05-2025
- Business
- Yahoo
Corporate giants ramp up AI spending amid persistent ‘FOMO'
Good morning. Over the past few years, AI has become a major focus for companies across industries. 'There's been a huge amount of activity since [OpenAI's] ChatGPT launched about two and a half years ago,' Benedict Evans, an independent analyst, told the audience at Fortune Brainstorm AI in London on Tuesday. Evans has spent 20 years analyzing media and technology, having worked in equity research, corporate strategy, and venture capital. 'We've got lots of new buzzwords and acronyms, and people talk about [AI] agents—or, if they want to sound clever, they say 'agentic,' which I think is a bit like saying 'societal' instead of 'social,'' he said. But most profoundly, there has been a huge increase in the amount of AI investment, Evans said. 'Last year, the Big Four cloud companies spent about $220 billion building AI infrastructure,' he explained. Evans refers to the "Big Four" as Alphabet, Meta, Amazon Web Services, and Microsoft. 'This year, based on their guidance, they'll probably spend something over $300 billion,' he said. For example, Meta recently announced an increase in its 2025 capital expenditure outlook to between $64 billion and $72 billion to support its AI buildout and the expected costs of infrastructure hardware, Fortune reported. Along with the massive AI investment by companies, there's still 'a strong sense of FOMO'—fear of missing out, he said. 'You don't want to be the company that didn't participate, and then be faced with having other companies dictate how you could do business,' he explained. That's what happened to Meta in the last platform shift, and that's why Google created Android, Evans said. Regarding generative AI, some use cases that are really working for people include job development, marketing, and customer support, he said. However, he noted that some organizations still struggle to identify the best use cases for generative AI. 'There are people who've looked at it a couple of times and said, 'I don't know what to do with this,'' Evans explained. 'It's not really clear how you handle error rates, or where you should put the human in the loop.' People are also worried about data security. For example, the "2025 AI Survey: Generative AI Adoption in the Enterprise," released by Writer in March, found that 72% of C-suite leaders surveyed said their company has faced at least one challenge on their journey to generative AI adoption. Internal power struggles, underperforming tools, and clashing perspectives among executives and employees are among the obstacles. However, the majority of workers and executives who have actively used generative AI say they benefited from the tools, according to the report.
