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ServiceNow recently released the results of its “The Global CIO Point of View”, and found that the adoption of machine learning is on the rise in the enterprise. However, it was revealed that Singaporean respondents are lagging behind their peers in Asia-Pacific, North America and Europe in adopting machine learning.
The report surveyed 500 CIOs from around the world with almost 10% from Singapore, to uncover the competitive benefits of adopting machine learning and hear how these leaders are accommodating digital labour, including creating new jobs that focus on work with intelligent machines.
A third (32%) of CIOs in Singapore surveyed said their organisation are using machine learning in some or all parts of their business, compared to counterparts in Australia (59%) and New Zealand (49%). 3 key areas were identified as barriers to adoption and maturation of automated decision making in their organisation:
· 70% of CIOs in Singapore cite outdated processes and insufficient data quality (65%) as a substantial barrier to adoption.
· 35% cite the lack of skills to manage and maintain smart machines, and a lack of budget for new skills (61%).
· Almost 40% of respondents in Singapore feel that there is a lack of budget allocated for new technology in their organisation.
More than half (52%) of CIOs in Singapore surveyed agree on the ability of machine learning to make complex decisions that are imperative to the success of their organisation, with 54% respondents citing that machine learning as a strategic focus for their organisation. The enthusiasm for this technology is driven by widely-held confidence by CIOs that greater automation through machine learning will increase the accuracy (80%) and speed of decisions (87%).
Machine learning software promise to analyse and improve its own performance without direct human intervention, giving it the ability to make increasingly complex decisions as it learns:
· 87% of Singapore CIOs cite profitability growth and top-line growth as the area that would benefit the most from decision automation over the next 3 years.
· 59% said that product development and research are automated to an extent but still requires substantial human intervention.
· 41% of CIOs expect decision automation brought about by machine learning to allow more room for developing new products and services for the organisation.
· 76% said that routine decision making takes up a meaningful amount of employee and executive time especially in departments like Finance and Human Resources (57%). CIOs in Singapore expect decision automation to contribute to their organisation’s employee productivity by 41%, and talent recruitment and retention by 35%.
The survey also found that 28% of CIOs in Singapore are making some investments in machine learning currently, and this number is expected to grow within the next few years as Singapore gears towards a Smart Nation. Half of CIOs in Singapore say that they are making organised changes to processes or leadership to prepare their organisation for machine learning adoption.
Machine learning is not just about the right technology – organisations must train employees to work with machines and redefine their job scope to accommodate the necessary skillsets, which are diverse across multiple disciplines from engineering to data science, critical thinking to problem solving.
Organisations in Singapore have shown that they are willing to make such changes to make rapid progress with machine learning:
· 17% of CIOs in Singapore have already set plans for workforce size and role changes within their organisation.
· More than half of CIOs in Singapore (52%) have begun to redefine job descriptions to include a focus on work involving intelligent machines – well ahead of Asia-Pacific peers in Australia (43%) and New Zealand (27%).
· Almost 40% of respondents said that they have developed a roadmap for future process change.
Achieving Value from Machine Learning
ServiceNow recommends five steps on how CIOs can jumpstart their journey to digital transformation with machine learning:
1) Build the foundation and improve data quality. One of the top barriers to machine learning adoption is the quality of data. If machines make decisions based on poor data, the results will not provide value and could increase risk. CIOs must utilise technologies that will simplify data maintenance and the transition to machine learning.
2) Prioritise based on value realisation. When building a roadmap, focus on those services that are most commonly used, as automating these services will deliver the greatest business benefits. At a high level, where the most unstructured work patterns that could benefit from automation? Commit to re-engineering services and processes as part of this transformation, and not simply lifting and shifting current processes into a new model.
3) Build an exceptional customer experience. A core benefit of increasing the speed and accuracy of decision-making lies in creating an exceptional internal and external customer service. When creating a roadmap to implement machine learning capabilities, imagine the ideal customer experience and prioritise investment against those goals.
4) Attract new skills and double down on culture. CIOs must identify the roles of the future and anticipate how employees will engage with machines – and start hiring and training in advance. CIOs must build a culture that embraces a new working model and skills. That means establishing guidelines for executives, engineers, and front-line workers about their work with machines and the future of human-machine collaboration.
5) Measure and report. The benefits of machine learning may be clear to CIOs, but other C-level executives and corporate boards often need to be educated on its value. CIOs must set expectations, develop success metrics prior to implementation, and build a sound business case in order to acquire and maintain the requisite funding. CIOs should also consider building automated benchmarks against peers in their industry and other companies that are of similar size.
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In her address at the LIA Annual Luncheon, Ms Ho Hern Shin, Deputy Managing Director of the Monetary Authority of Singapore (MAS), the pivotal role of technology in elevating customer experience within the life insurance sector could be seen. Under the theme of “Treating Customers Right,” Ms Ho outlined key pillars for insurers to build and enhance engagement, trust and sustainability.
The LIA Management Committee were commended for their adept utilisation of available tools and technology, amidst industry challenges, from the transformation spurred by the COVID-19 pandemic for targeted customer solutions. She reiterated MAS’ commitment to fostering innovation and collaboration in the tech-driven landscape.
Central to customer satisfaction is product design harnessing digital innovations to align with evolving preferences. AI-powered wellness programmes, tech-enabled co-payment initiatives, and user-friendly mobile apps for bite-size insurance products are great examples. These tech-driven solutions not only cater to diverse customer needs but also optimise operational efficiency for insurers.
The pivotal role of data analytics in enabling fair and inclusive underwriting practices is also clear. Insurers can leverage advanced algorithms and predictive modelling to objectively assess applications, ensuring equitable coverage for individuals with disabilities or mental health conditions. Collaboration with data professionals and research communities is essential to harnessing data for actionable insights.
Insurers can leverage digital platforms such as SGFinDex and AI-driven chatbots to offer personalised financial advice. SGFinDex, the pioneering digital infrastructure in Singapore, stands as the world’s first to integrate a national digital identity with a centrally managed online consent system. This innovative platform empowers individuals by granting them seamless access to their financial data dispersed across various government agencies and financial institutions.
Tech-enabled strategies can streamline the fact-finding process, empowering customers to make informed decisions aligned with their financial goals. Such platforms can leverage machine learning algorithms to tailor product recommendations based on customer profiles and life stages.
Continued investments in digital infrastructure are essential for delivering seamless post-sales experiences. MAS’ regulatory amendments facilitate secure online transactions, including beneficiary nomination and claims processing. Insurers were urged to embrace emerging technologies such as blockchain for immutable record-keeping and smart contracts to automate claims settlements, enhancing transparency and efficiency.
OpenGov Asia reported that in response to growing concerns voiced by Members of Parliament and citizens regarding customer protection from scams, MAS and other government agencies are intensifying collaborative efforts with the industry to combat fraudulent activities.
MAS and IMDA have introduced a consultation paper outlining the Shared Responsibility Framework (SRF) to address phishing scams, assigning responsibilities to financial institutions (FIs) and telecommunication companies (Telcos) to mitigate scam risks and ensure compensation for affected victims.
This framework expands upon previous initiatives by the Payments Council, recognising the crucial roles of both FIs and Telcos in preventing fund outflows resulting from digitally enabled scams that undermine confidence in digital banking systems.
Outlined duties for FIs and Telcos include sending transaction notifications and implementing scam filters, with breaches triggering a “waterfall approach” in which FIs and Telcos are held accountable for losses, with FIs bearing primary responsibility followed by Telcos as custodians of consumers’ money
The importance of fostering an ethical culture, where data fairness is paramount and values supersede profits is vital. The board and senior management must champion ethical principles, ensuring transparency and accountability in decision-making.
Insurance, as indeed all other sectors, would greatly benefit if they embrace technology as a catalyst for delivering superior customer outcomes. By leveraging digital innovations across all facets of their operations, organisations can enhance customer engagement, streamline processes, and foster trust in the digital age.
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The International Telecommunication Union (ITU), in collaboration with the Food and Agriculture Organisation (FAO) of the United Nations, recently organised a Workshop on “Cultivating Tomorrow: Advancing Digital Agriculture through IoT and AI.”
Held at the Telecommunication Engineering Centre (TEC) of the Department of Telecommunications (DoT) and the Indian Council of Agricultural Research (ICAR), Department of Agricultural Research and Education (DARE), Ministry of Agriculture and Farmers’ Welfare, Government of India, this event aimed to explore the transformative potential of emerging technologies in agriculture.
Participation was open to ITU Member States, Sector Members, Associates, ITU Academia, and individuals from countries that are members of the ITU, as well as members of international, regional, and national organisations in hybrid mode. The event drew around 200 delegates, including international participants, who shared their experiences in the emerging field of Agriculture 4.0.
In light of the challenges posed by a growing world population and climate change to traditional farming practices, the workshop underscored the importance of leveraging technology for sustainable food production. It delved into the application of the Internet of Things (IoT), Artificial Intelligence/Machine Learning (AI/ML), Unmanned Aerial Vehicles (UAVs), and other cutting-edge technologies across the agricultural value chain, from production to consumption, including post-harvest management and marketing.
The discussions focused on how these technologies can empower farmers with real-time data, predictive analytics, and actionable insights to optimise their operations and enhance productivity.
A highlight of the workshop was the release of the Technical Report on “Revolutionising Agriculture: The Digital Transformation of Farming.” This report serves as a valuable resource for stakeholders in the agricultural sector, providing guidance on harnessing the power of technology to drive sustainability, efficiency, and resilience in food production. Overall, the event emphasised the critical role of digital innovations in shaping the future of agriculture and fostering global food security.
The Ministry of Agriculture & Farmers Welfare in India is pioneering the integration of cutting-edge AI technologies to enhance farmers’ productivity and well-being. Championing the India Digital Ecosystem Architecture (InDEA) 2.0’s network approach, the Ministry has achieved significant milestones.
According to Union Minister of Agriculture and Farmers’ Welfare, Shri Arjun Munda, in a written reply in Rajya Sabha, the Ministry of Agriculture and Farmers Welfare in India has leveraged AI to tackle various challenges in the agricultural sector, aiming to support farmers.
Key initiatives include the implementation of ‘Kisan e-Mitra,’ an AI-powered chatbot designed to assist farmers with inquiries regarding the PM Kisan Samman Nidhi scheme, which supports multiple languages and is expanding to cover other government programmes.
The National Pest Surveillance System employs AI and Machine Learning to detect crop issues caused by climate change, enabling timely interventions for healthier crops. Furthermore, AI-based analytics are utilised for crop health assessment using field photographs, along with crop health monitoring through the integration of Satellite, weather, and soil moisture datasets for rice and wheat crops.
A tripartite Memorandum of Understanding was signed, paving the way for collaborative efforts between the National Farmers’ Welfare Programme Implementation Society, IndiaAI, and a foundation to establish India as a global leader in AI-driven digital agriculture transformation. This partnership signifies a crucial step forward in leveraging AI to revolutionise digital agriculture, ensuring a prosperous and food-secure future for India.
Following the workshop, the 9th meeting of the ITU/FAO Focus Group on “Artificial Intelligence (AI) and Internet of Things (IoT) for Digital Agriculture” (FG-AI4A) will take place on March 19, 2024, at the same venue.
The Focus Group on Artificial Intelligence and the Internet of Things for Digital Agriculture (FG-AI4A) has extensively explored the potential of emerging technologies such as AI and IoT. These technologies offer promising avenues for data management, model enhancement, and effective communication, thereby optimising agricultural production processes.
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The Cyber Security Agency of Singapore (CSA) is dedicated to securing Singapore’s cyberspace to support national security, power the digital economy, and protect the digital way of life. To reinforce national security, CSA continually monitors cyber threats, defends critical information infrastructure (CII), and implements mitigation measures to safeguard essential services.
The Singapore Cyber Emergency Response Team (SingCERT) responds to cybersecurity incidents for its Singapore constituents. It was set up to facilitate the detection, resolution and prevention of cybersecurity-related incidents on the Internet.
Singapore, represented by the CSA has been working closely with ASEAN Member States (AMS) to establish the ASEAN Regional Computer Emergency Response Team (CERT) to promote and facilitate information-sharing related to cyber incident response, and to complement the operational efforts by individual national CERTs in each AMS.
Singapore had made the recommendation for a single AMS to host the ASEAN Regional CERT and proposed to host and fund its physical activities in Singapore at the 14th ASEAN Network Security Action Council in August 2023.
The ASEAN Regional CERT will enable stronger regional cybersecurity incident response coordination and critical information infrastructure (CII) protection cooperation, including for cross-border CII such as banking and finance, communications, aviation and maritime.
The 4th ASEAN Digital Ministers Meeting (ADGMIN) convened in Singapore in February, to address the multifaceted challenges and opportunities in the digital realm, particularly amid the ongoing COVID-19 pandemic.
The meeting recognised advancements in implementing the ASEAN Digital Masterplan 2025 (ADM 2025) despite the pandemic and stressed the need for a robust and inclusive digital ecosystem. The ADM 2025 Mid-Term Review (MTR) assessed progress in key areas including trusted digital services, consumer protection, and broadband infrastructure
The meeting highlighted the need to set governance standards for emerging technologies like AI, based on recommendations from the ADM 2025 MTR. It also emphasised the importance of collaborating on digital infrastructure and fostering trust among users for secure data sharing.
The endorsement of the ASEAN Guide on AI Governance and Ethics marked a significant milestone, reflecting the region’s commitment to harnessing AI technologies responsibly. The guide, which includes practical use cases for trustworthy AI deployment, is poised to serve as a valuable tool for promoting the responsible and ethical utilisation of AI solutions across ASEAN.
Additionally, the meeting welcomed initiatives aimed at enhancing regional cybersecurity capabilities, such as the establishment of the ASEAN Regional CERT. This initiative is expected to bolster incident response capabilities and facilitate timely information sharing and best practice exchange among ASEAN member states.
Moreover, the meeting acknowledged the importance of data governance and privacy protection in fostering digital trust. Efforts to promote the adoption of the ASEAN Model Contractual Clauses and facilitate seamless data transfers between ASEAN and the European Union were commended as significant steps towards enhancing regional data governance frameworks.
The meeting also highlighted the significance of digital infrastructure development, including the advancement of 5G networks and the establishment of frameworks to facilitate cross-border data flows, particularly in areas such as disaster management and logistics for rural areas.
In the realm of international cooperation, the meeting affirmed ASEAN’s commitment to deepening collaboration with dialogue and development partners, including China, Japan, the Republic of Korea, India, the United States, the European Union, ITU, and APT. These partnerships are crucial for advancing digital transformation, cybersecurity, and capacity-building efforts across the region.
Overall, the 4th ADGMIN underscored the collective resolve of ASEAN member states to navigate the evolving digital landscape, fostering innovation, inclusivity, and resilience to realise the full potential of the digital economy for the benefit of all stakeholders.
Following the endorsement of the financial model, Singapore will continue to work closely with AMS to operationalise the ASEAN Regional CERT to enhance collective cybersecurity within the region.
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In a groundbreaking development, scientists from Nanyang Technological University, Singapore (NTU Singapore), have engineered ultra-thin semiconductor fibres capable of being seamlessly woven into fabrics, transforming them into wearable electronics. This innovative breakthrough holds immense potential in reshaping the landscape of wearable technology, paving the way for enhanced accessibility and functionality in smart wearable devices.
Overcoming the challenges of stress-induced defects and instability in manufacturing, NTU scientists meticulously analysed stress dynamics using advanced modelling and simulations. Their careful material selection and production sequencing yielded hair-thin, defect-free fibres up to 100 meters in length, demonstrating their scalability for market adoption.
The versatile semiconductor fibres seamlessly integrate into fabrics through conventional methods, showcased by NTU’s prototypes: a smart beanie for visually impaired individuals, a shirt doubling as a museum audio guide, and a smartwatch with a flexible sensor wristband for accurate heart rate monitoring during physical activities.
Associate Professor Wei Lei, lead-principal investigator of the study at NTU, said, “The successful fabrication of our high-quality semiconductor fibres underscores the interdisciplinary collaboration within our team, drawing expertise from materials science, mechanical, and electrical engineering domains. This collaborative effort has enabled us to overcome longstanding challenges in fibre technology, unlocking the door to defect-free threads with remarkable electrical and optoelectronic performance.”
To fabricate these defect-free fibres, the NTU-led team meticulously selected pairs of common semiconductor and synthetic materials, strategically combining silicon semiconductor cores with silica glass tubes and germanium cores with aluminosilicate glass tubes. These materials, chosen for their complementary attributes such as thermal stability and electrical conductivity, played a pivotal role in achieving the desired functionality of the fibres.
The manufacturing process involved heating the selected semiconductor material inside the glass tube until it reached a malleable state, enabling it to be drawn into a continuous, hair-thin strand. This intricate process, characterised by precise control of melting points and thermal expansion rates, ensured the seamless production of defect-free semiconductor fibres.
Dr Wang Zhixun, the First Author of the study, emphasised, “Extensive analysis guided us in identifying the optimal combination of materials and processes required to fabricate our fibres. By exploiting the unique properties of our selected materials, we successfully generated long threads devoid of defects, marking a significant advancement in semiconductor fibre technology.”
In laboratory experiments, the semiconductor fibres exhibited exceptional performance across various metrics. Demonstrating robust responsivity, these fibres effectively detected the entire visible light range, from ultraviolet to infrared, while transmitting signals with a bandwidth of up to 350 kilohertz (kHz), surpassing industry standards. Moreover, these fibres exhibited remarkable durability, proving to be 30 times tougher than conventional fibres.
Furthermore, the semiconductor fibres demonstrated outstanding washability, retaining their performance even after undergoing ten cycles of washing in a conventional washing machine.
Distinguished University Professor Gao Huajian, Co-principal Investigator of the study, noted, “The successful fabrication of ultra-long semiconductor fibres underscores the viability of flexible components using silicon and germanium, offering unprecedented opportunities for the development of wearable devices in various forms.”
To validate the practical applicability of these fibres, the NTU team seamlessly integrated them into everyday wearable items, including beanies, shirts, and smartwatches, showcasing their versatility and ease of adoption. Compatible with existing textile industry machinery, these fibres hold the potential for large-scale production, offering a cost-effective solution for wearable electronics.
Looking ahead, the research team aims to expand the repertoire of materials used for semiconductor fibres, exploring novel configurations to further broaden their applications in wearable technology.
NTU Singapore’s breakthrough in semiconductor fibre technology heralds a new era in wearable electronics, epitomising the transformative potential of interdisciplinary research and innovation in advancing technological frontiers.
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Recognising the urgent need for effective restoration measures, researchers at the Singapore-MIT Alliance for Research and Technology (SMART) and Nanyang Technological University, Singapore (NTU Singapore) have pioneered a groundbreaking method that leverages satellite data and advanced mathematical modelling to accurately measure the carbon stored in bogs, thereby facilitating peatland restoration efforts and aiding in the fight against climate change.
Often referred to as bogs, Peatlands are among the Earth’s most valuable ecosystems, serving as natural carbon storehouses crucial for regulating the climate. However, human activities such as drainage and deforestation have severely impacted these fragile environments, leading to the release of significant amounts of carbon dioxide and making them susceptible to devastating wildfires.
Peatlands are renowned for their unparalleled capacity to sequester carbon, with raised peatlands in particular acting as reservoirs for vast amounts of carbon accumulated over thousands of years. However, the variable shape of bogs and the varying depths of their carbon-rich soil, known as peat, present significant challenges in accurately assessing their carbon storage potential.
Previous methods for measuring carbon stocks in peatlands often relied on labour-intensive onsite sampling, which was impractical for the vast and inaccessible expanses of many tropical peatlands. This innovative approach reduces the need for onsite sampling and provides valuable insights into the morphology of bogs, allowing for more accurate assessments of their carbon storage capacity and water flow patterns.
The development of this new method represents a significant breakthrough in peatland research and conservation, offering a powerful tool for policymakers, conservationists, and land managers to better understand and protect these critical ecosystems. By accurately quantifying the carbon stored in peatlands, governments can make informed decisions about land-use planning and prioritise conservation efforts to mitigate carbon emissions and prevent wildfires.
Moreover, the insights gained from this research have far-reaching implications for global climate change mitigation strategies. Peatlands cover only about three per cent of the Earth’s land surface but store more carbon per area than any other terrestrial ecosystem.
Therefore, protecting and restoring peatlands through methods such as rewetting, which involves blocking drainage channels to maintain wet conditions, is a highly effective nature-based solution for reducing greenhouse gas emissions and preserving biodiversity.
Dr Alex Cobb, Senior Principal Research Scientist at SMART and the Lead Author of the Study emphasised the significance of the team’s findings, stating, “Peatlands have acted as huge stores of carbon since before the time of the dinosaurs. In fact, modern coal deposits started as peatlands. The finding makes it possible to describe and compare the shape of bogs anywhere, enabling us to protect and restore these vital ecosystems effectively.”
Dr René Dommain, Senior Research Fellow at NTU’s Earth Observatory of Singapore and co-author of the study underscored the practical applications of the research, stating, “We can accurately measure the amount of carbon stored in peatlands and identify areas at risk of fire or degradation due to human activities. This work lays the foundation for successful peatland restoration efforts and contributes to global climate change mitigation.”
Published in the prestigious scientific journal Nature, this groundbreaking research represents a significant step forward in the understanding of peatlands and their role in global carbon cycling.
Moving forward, the researchers plan to expand their analyses to remote peatland regions of the tropics and develop tools to estimate carbon stocks with greater precision, further advancing the ability to protect and restore these invaluable ecosystems for generations to come.
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Artificial Intelligence (AI) has permeated all aspects of human life, including its crucial role in defence and security, which has become a focal point, particularly in the Asia-Pacific region. The integration of AI in defence has sparked extensive debates on its implications for national security, military strategies, and ethical considerations, indicating the depth of its impact and the need for careful evaluation.
One of the primary concerns revolves around how AI could revolutionise military, security, and defence operations. This revolution introduces concepts like autonomous weapons systems, unmanned vehicles, and cyber warfare capabilities, marking a significant shift in how AI is adopted in these fields.
Moreover, there is a growing interest in understanding how AI will shape defence strategies and operations by 2035, potentially altering the balance of power in the region and leading to new alliances and strategic rivalries.
While AI advancements promise strategic advantages, they also raise ethical dilemmas, especially regarding the use of AI in making life-or-death decisions, highlighting the need for robust ethical frameworks and guidelines. The evolving nature of AI and its rapid advancements necessitate continuous monitoring and evaluation to ensure its responsible and ethical use in defence and security contexts.
Anto Satriyo Nugroho, former Head of the Research Centre for Artificial Intelligence and Cyber Security (PRKAKS) at the Indonesian Agency for Research and Innovation (BRIN), emphasised the pivotal role of various AI technologies in advancing research in defence and security. He highlighted technologies like Computer Vision, Machine Learning (ML), Cyber Security, Natural Language Processing (NLP), and others, underlining their importance in enhancing defence and security systems’ capabilities.
Further, Achmad Farid Wadjdi, an Associate Expert Engineer at PRKAKS-BRIN, discussed the importance of understanding the concept of national defence, particularly in the context of the Internet of Battlefield Things (IoT) and its applications in modern combat operations and smart warfare. He emphasised the need to ensure security in military operations when deploying IoT technologies, indicating the complexity and critical nature of AI integration in defence systems.
Conversely, Eddy Maruli Tua Sianturi explained the conceptualisation of measuring the State Defence Index (IBN) to understand better citizens’ sense of pride, patriotism, nationalism, and willingness to defend the country. The IBN measurement provides a nuanced approach to grasping current socio-political dynamics. Still, it also requires addressing challenges such as data bias, privacy concerns, and security issues, highlighting the multidimensional nature of AI’s impact on defence and security.
PRKAKS-BRIN Associate Engineer Jemie Muliadi introduced the Intelligent Control System method for law enforcement and state sovereignty applications in a related context. This method effectively manages complex systems that are challenging to simplify, those with cross-coupling that are difficult to separate, and systems with significant parameter changes over time. Jemie emphasised that this method ensures precise control in fast-moving and uncertain situations, particularly in law enforcement and state sovereignty contexts, showcasing the versatility and potential of AI in enhancing national defence and security operations.
Integrating AI in defence and security represents a significant advancement with far-reaching implications. While AI offers numerous benefits in enhancing defence capabilities, it also poses ethical, legal, and security challenges that must be addressed through collaborative efforts between governments, researchers, and industry stakeholders.
By fostering responsible AI development and deployment practices, the Asia-Pacific region can harness AI’s transformative power while ensuring its citizens’ safety, security, and well-being. This approach involves developing robust AI governance frameworks, ensuring transparency and accountability in AI systems, and promoting international cooperation to address common AI-related challenges.
“In advancing the defence and security with AI, Indonesia’s security will benefit from the strategic integration of AI technologies. These advancements can enhance Indonesia’s military capabilities, improve situational awareness, and strengthen its ability to respond to security threats effectively,” Jemie concluded.
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Singapore’s tech landscape is set for a new trajectory with the appointment of Mr Russell Tham, Head of Emerging Technologies at Temasek Holdings Pte Ltd, as the Chairman of the Infocomm Media Development Authority (IMDA) Board. Effective from March 15, 2024, Mr Tham succeeds Mr Chan Yeng Kit, who served as Chairman for nine years.
Mr Tham, an IMDA Board Member since October 2020 and Chairperson of the Technology Sub-Committee since April 2023, brings a wealth of experience to his new role. His expertise in advising IMDA on digital technologies and policy implications positions him well to lead IMDA into the next phase of Singapore’s tech journey.
The Ministry of Communications and Information (MCI) and IMDA expressed deep appreciation for Mr. Chan’s leadership. As Mr. Tham assumes the chairmanship, there is anticipation of continued guidance and leadership in shaping Singapore’s tech landscape in the years ahead.
Mr Chan, also the Permanent Secretary (Health), has had a profound impact on Singapore’s tech evolution. His tenure saw the merger of Infocomm Development Authority (IDA) and the Media Development Authority (MDA) into IMDA in 2016, aligning with Singapore’s Smart Nation vision. Under his stewardship, initiatives like the Intelligent Nation 2015 (iN2015) Masterplan and the Infocomm Media 2025 (ICM 2025) Masterplan laid the groundwork for Singapore’s digital future.
IMDA continued to shape Singapore’s Digital Future. From deploying 5G standalone wireless networks to upgrading the Nationwide Broadband Network for 10Gbps access, the agency has spearheaded future-ready digital infrastructure. Initiatives like SMEs Go Digital, CTO-as-a-Service, and TechSkills Accelerator (TeSA) have propelled digitalisation across enterprises while fostering a globally competitive digital workforce.
Mr Chan’s leadership extended IMDA’s influence globally, showcasing Singaporean creations on various platforms. Domestically, he championed a safe and inclusive Digital Society, engaging seniors and collaborating with the private sector through the Digital for Life national movement.
Singapore’s Infocomm Media Development Authority (IMDA) is ramping up efforts to expand and elevate the nation’s tech talent pool while prioritising the adoption of artificial intelligence (AI). With a focus on pre-employment training and mid-career upskilling programs, IMDA aims to cultivate a skilled workforce capable of driving AI innovation across industries.
IMDA is investing $20 million over three years to bolster AI-related SG Digital Scholarships and overseas internships, providing students with invaluable industry exposure and hands-on experience. These efforts align with IMDA’s commitment to scale up the TechSkills Accelerator (TeSA) program and offer over 180 AI-related courses under the Information and Communications (I&C) Jobs Transformation Map (JTM).
IMDA’s collaboration with industry partners and associations aims to create job opportunities and foster skills-based hiring practices. The TeSA for ITE and Polytechnics Alliance (TIP Alliance) has secured 800 good tech job opportunities for graduates, while over 200 companies have pledged support for skills-based hiring, doubling since its launch.
To enhance students’ industry readiness, ITE and Polytechnic students now undergo year-long internships, providing them with immersive experiences and valuable skill development opportunities. IMDA’s co-funding support for stipends facilitates companies in offering these extended internships, ensuring students gain practical insights into tech roles.
IMDA’s comprehensive approach to talent development and AI adoption underscores Singapore’s commitment to remaining at the forefront of tech innovation. By nurturing a robust talent pipeline and fostering industry collaboration, IMDA aims to propel Singapore’s tech ecosystem towards sustained growth and competitiveness in the global arena.