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· 70% of CIOs in Singapore cite outdated processes and insufficient data quality (65%) as a substantial barrier to adoption.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.
Rehabilitation services have gained increasing significance, as highlighted by Deputy Prime Minister Heng Swee Keat during RehabWeek 2023. The demand for rehab services is growing worldwide due to an ageing population and a rising incidence of chronic diseases. To meet this demand and improve outcomes, the field of rehabilitation is embracing innovation, particularly through advancements in technology, robotics, and digitalisation.
Rehabilitation plays a crucial role in enabling individuals, regardless of age, to regain independence and participate meaningfully in daily life. With the World Health Organisation estimating that 1 in 3 people globally may benefit from rehab services, the importance of this field cannot be overstated.
Beyond individual well-being, rehabilitation contributes to productive longevity and reduces downstream medical costs when integrated into holistic care plans. Thus, it aligns with the United Nations Sustainable Development Goal of “healthy lives and well-being for all at all ages.”
Deputy Prime Minister Heng shared his personal experience as a stroke survivor, emphasising the pivotal role that therapists and early rehabilitation played in his recovery journey. Early rehab interventions were instrumental in mitigating the debilitating effects of extended bed rest in the ICU. Dedicated therapists, combined with intensive rehab, enabled him to regain full functionality, underscoring the transformative potential of rehabilitation services.
Innovations in rehabilitation leverage broader trends like robotics and digitalisation. These innovations offer precision rehabilitation, tailoring treatment plans to individual needs. They also mitigate manpower constraints by augmenting human efforts with technology.
For instance, robotics-assisted physiotherapy and games-based cognitive exercises are becoming increasingly prevalent. Moreover, virtual rehabilitation has gained prominence during the COVID-19 pandemic, enhancing convenience and empowering patients to take charge of their rehab journeys from home.
Many societies are facing the dual challenge of an ageing population and a declining workforce to provide rehabilitation services. Technology is critical in augmenting these efforts to meet growing demand. Innovations in rehabilitation enhance its effectiveness and accessibility, ensuring that patients follow through with and benefit from rehab programs.
Singapore is at the forefront of innovative rehabilitation practices. Its acute hospitals offer excellent rehab care services and conduct research to improve care. Notably, Tan Tock Seng Hospital is a pioneer in rehabilitation medicine. Changi General Hospital houses the Centre for Healthcare Assistive and Robotics Technology (CHART), facilitating the synergy between clinical needs and technological innovation.
The One-Rehab Framework is a recent innovation in Singapore, ensuring timely access to rehabilitation care. This framework enables seamless care coordination across different settings and care team members through a common IT portal and harmonised clinical outcomes. It streamlines the sharing of relevant patient information and encourages right-siting of care within the community, reducing the burden on acute hospitals.
According to Deputy Prime Minister Heng, RehabWeek serves as a platform for delegates with diverse expertise and a shared commitment to advancing rehabilitation care. It encourages the sharing of best practices and useful technologies to strengthen collective impact, especially when addressing global challenges.
Singapore stands ready to collaborate with international partners, offering its strong ecosystem in research, innovation, and enterprise to advance the field of rehabilitation for the benefit of people worldwide.
He added that rehabilitation is evolving and embracing technological innovations to meet the increasing demand for its services, especially in ageing societies. “Collaboration, innovation, and a focus on the last-mile delivery of care are crucial for ensuring that individuals can live well and maximise their potential through effective rehabilitation,” Deputy Prime Minister Heng said. “Singapore’s commitment to these principles makes it a valuable partner in advancing the frontiers of rehabilitation on a global scale.”
The agricultural sector continues to experience technological advancements. Artificial Intelligence (AI) has become a part of the modern agricultural industry. AI technology is used in various aspects, from production and management to marketing. Agriculture heavily relies on weather, soil, and the environment. Therefore, AI technology related to drones and sensors is essential to support precision agriculture
Drones’ ability to rapidly scan areas with high-quality sensors is beneficial in various applications, including crop mapping, soil analysis, environmental surveys, livestock monitoring, and infrastructure surveillance.
In light of this, the Food Crops Research Centre (PRTP) of the Agriculture and Food Research Organisation (ORPP) under the National Research and Innovation Agency (BRIN) held an occasion regarding AI technology in the development of drones and sensors and its applications in agriculture.
Puji Lestari, the Head of ORPP BRIN, expressed that this occasion would benefit BRIN and other stakeholders. She emphasised that combining drone and sensor technology would create innovative solutions to address food availability challenges.
Furthermore, Puji also highlighted that precision agriculture is closely tied to the availability of tools. Implementing AI in rapid data analysis as a basis for decision-making, ranging from planting and feeding to irrigation and harvesting, is expected to benefit farmers.
The AI-based capabilities, including high-quality sensors and scanning, enable rapid work and real-time data processing, plant identification, and decision-making to support productivity targets. Therefore, the Food Crops Research Centre should provide more opportunities to utilise AI-based technology that supports increased crop productivity,” he emphasised.
At the same time, the Head of PRTP BRIN, Yudhistira Nugraha, also acknowledged that technological advancements have become inevitable. Through the science community, AI researchers are expected to actively contribute to utilising AI technology, turning it into a valuable science that can be applied to agricultural development in Indonesia.
“We can gain many benefits using AI technology for monitoring agricultural land, including fertiliser usage, fertility identification, plant growth, and with the help of AI technology, farmers can make decisions and take actions that can be applied in the farming system to increase productivity,” he explained.
Tri Surya Harapan, Research Manager at a company that provides sales of drones and surveillance services for agriculture, the environment, defence, forestry, and marine purposes, explained about multispectral cameras that provide information on plant health and management.
“AI is widely known for replicating human intelligence and can be simulated using computer systems. Automation sensors embedded in drones, such as camera sensors, LIDAR sensors, or other advanced sensors, provide valuable information as decision-makers in the field without direct human intervention,” he said.
“The use of AI with drone and sensor technology requires relatively high service costs, so in its implementation, collaboration with stakeholders on a large scale is needed,” Tri clarified.
Meanwhile, Senior Researcher at PRTP BRIN, Muhammad Aqil, discussed the Utilisation of Drone Technology in Food Crop Research. This is in line with the direction of the President of Indonesia in the 2021 National IPTEK Coordination Meeting, which emphasises the use of modern technology and contribution to the era of Industry 4.0, including the application of artificial intelligence technology to support all fields/activities, including agriculture.
“We have gone through several stages before reaching Industry 4.0, and now it’s time to use drone technology to monitor the nutrient status of plants, quickly detect pest attacks (OPT – Plant Pest Organisms), check strain contamination, inspect seed production data cells, and determine the harvest time,” said Aqil.
Aqil concluded that the vegetation index-based model developed for the selection of corn genotypes, which are tolerant to both NDVI and NDRE, has proven capable of predicting harvest yields and the best genotype types in corn variety selection in the field.
“By integrating drones and image analysis, it could support research activities, especially in the field,” Aqil added.
In an exciting collaboration between LASALLE College of the Arts (LASALLE) and the Singapore University of Technology and Design (SUTD), the future of electric vehicle (EV) design is undergoing a remarkable transformation. This pioneering effort, a testament to engineering excellence and design innovation, has birthed an avant-garde electric vehicle prototype that is making waves at LASALLE College of the Arts as part of Singapore Design Week.
Led by Nathan Yong, Programme Leader of BA (Hons) Product Design at LASALLE and a recipient of the President’s Design Award, three students from LASALLE, namely Choong Yu Haun, Namjot Kaur, and Joel Yong, joined forces with SUTD’s Electric Vehicle Club (EV Club) to embark on a journey that reimagines the art of electric vehicle design.
At the heart of this transformative project lies the innovative use of 3D printing technology, a disruptive force that is reshaping the automotive landscape. Drawing inspiration from the intricate and efficient forms found in nature, particularly in insects, the collaborative team has pushed the boundaries of design to create a body shell that epitomises speed, agility and a new benchmark for future electric vehicles.
In doing so, they have also made substantial strides towards sustainable transportation design, underscoring their commitment to environmental stewardship and technological advancement.
The result of this remarkable collaboration is the TITHONUS design, crafted by LASALLE students and based on the open-top tandem two-seater electric sports car initially designed and built by SUTD students.
This lightweight chassis houses a quad-motor electric powertrain capable of short 2-second bursts of up to 1,000Nm of torque. With double-wishbone suspension all around and 18-inch wheels regulated by disc brakes, TITHONUS is a testament to the fusion of creativity, engineering acumen, and digitalisation in the pursuit of a sustainable and thrilling automotive future.
LASALLE receives tuition grant support from Singapore’s Ministry of Education and is a founding member of the University of the Arts Singapore. Besides, the partnership between LASALLE and SUTD has not only pushed the boundaries of electric vehicle design but also showcased the transformative power of 3D printing technology and digitalisation in the realm of transportation.
Singapore’s commitment to sustainable mobility is evident in its ambitious goals to reduce carbon emissions and mitigate the impact of climate change. The government’s “Green Plan 2030” outlines a clear roadmap for transforming the country’s transportation sector. At the forefront of this transformation are electric vehicles, which are seen as a pivotal solution to reduce the carbon footprint of the transportation industry.
Digitalisation is the driving force behind Singapore’s electric vehicle revolution. The integration of digital technologies into every facet of the EV ecosystem is unlocking new possibilities and reshaping the way we perceive and use electric vehicles.
Also, central to the success of EVs is a robust charging infrastructure. Digitalisation has enabled the development of a smart charging network across Singapore. EV owners can easily locate charging stations through mobile apps, check availability in real time, and even make reservations. Additionally, predictive analytics help optimise the placement of charging stations based on usage patterns, ensuring convenience for users.
Digitalisation has transformed the way EVs are managed and maintained as advanced telematics systems allow for remote diagnostics, real-time monitoring of vehicle health, and over-the-air software updates. This not only enhances the overall reliability of EVs but also minimises downtime and reduces maintenance costs.
The emerging field of artificial intelligence (AI) has profoundly impacted the healthcare industry. Mahidol University has recognised the development and recently organised an event where experts and academicians gathered to discuss the importance of implementing artificial intelligence in the healthcare sector.
The discussions revolved around how AI technologies, such as machine learning and data analytics, can assist healthcare professionals in making more accurate diagnoses, optimise treatment plans, and personalise patient care. Moreover, AI can streamline administrative tasks, improve resource allocation, and enhance patient engagement.
On this occasion, Dr Somkiat Tangkitvanich, a Member of the Mahidol University Council and President of Thailand Development Research Institute (TDRI), acknowledged augmented reality’s increasing role in making the healthcare industry more efficient.
As AI advances, it transforms various aspects of healthcare, from diagnostics and treatment planning to patient care and administrative tasks. Augmented reality, a technology that overlays digital information onto the physical world, is becoming an invaluable tool in this transformation.
“By leveraging AI, it will not only expedite the diagnosis process but also enhance the precision of diagnoses,” he elaborated.
In healthcare, augmented reality finds applications in medical training, enabling students and professionals to observe intricate anatomical structures and surgical procedures in real-time. This technology enriches the learning process, leading to a deeper understanding of medical concepts.
Additionally, Professor Apichat Asavamongkolkul, Dean of the Faculty of Medicine at Siriraj Hospital, Mahidol University, added that AI has the potential to generate a seamless work-life balance for doctors and healthcare professionals. AI technologies continue to advance and integrate into healthcare, alleviating some of the daily burdens and challenges that healthcare professionals face.
AI can automate routine tasks, such as administrative work and data entry, allowing doctors to focus more on patient care. It can enhance diagnostics, provide doctors with more accurate and efficient diagnosis tools, and reduce uncertainty. AI can also optimise scheduling and resource allocation, giving doctors more predictable schedules and time efficiency.
“AI-powered diagnostic tools can help doctors reach more precise conclusions, potentially improving patient outcomes and reducing the need for extensive and invasive procedures.” Furthermore, AI-driven remote monitoring solutions enable doctors to track patients’ health remotely, reducing the need for frequent in-person visits. AI supports decision-making by providing data-driven insights, streamlining administrative processes like insurance claims and billing, reducing the administrative burden on healthcare providers,” he expressed.
Furthermore, they firmly believe that harnessing the potential of artificial intelligence (AI) in the healthcare sector will ensure its long-term sustainability and effectiveness.
On this occasion, Professor Apichat reminded us that Thailand’s demographic landscape has undergone a significant transformation, characterised by a notable increase in the elderly population, which now accounts for over 17% of the total populace. This demographic shift has officially classified Thailand as an ageing society. Addressing the unique healthcare needs of this growing elderly population presents a considerable challenge and opportunity for leveraging AI technology.
“Wise and responsible use of AI in healthcare involves addressing ethical concerns, data privacy, and ensuring that AI algorithms are transparent, unbiased, and validated for their intended purposes. Moreover, it’s essential to maintain a human-centric approach to healthcare, emphasising the importance of empathy, patient-provider relationships, and holistic care,” he elaborated.
Seeing this, it marks that Mahidol University underscored the commitment of healthcare professionals and academics to harnessing the power of AI to improve healthcare outcomes, which extends far beyond the confines of its campus. It is a declaration that they are not content with merely meeting the current standards of patient care and medical research; they aspire to set new standards and lead the way in shaping the future of healthcare and medical knowledge.
Minister for Foreign Affairs Dr Vivian Balakrishnan recently addressed the Earthshot Prize Innovation Summit, shedding light on Singapore’s unique relationship with the oceans and its proactive approach to addressing the challenges nowadays. He highlighted the significance of the digitalisation of the maritime sector as a critical component in fostering sustainability.
Singapore’s history, culture, and economy are inextricably intertwined with its maritime surroundings. This small but dynamic city-state relies heavily on maritime trade, with a trading volume that is three times its GDP. This unique ratio underscores the vital importance of maritime routes and the sea itself to Singapore’s prosperity and well-being.
Minister Vivian highlighted the global movement toward the decarbonisation and digitalisation of the maritime sector as a significant opportunity. According to him, the shipping industry is a substantial contributor to carbon emissions, releasing one billion tons of CO2 into the atmosphere annually. However, there is immense potential for abatement through innovative strategies.
One such strategy involves the establishment of green and digitally empowered shipping corridors, such as the partnership between the Maritime Port Authority of Singapore, the Port of Los Angeles, and the Port of Long Beach.
This corridor, initiated in April 2023, is part of the green shipping challenge, jointly launched by the United States and Norway. These corridors serve as vital nodes in the transition to lower and zero-emission fuels for ships, creating growth opportunities for businesses and promoting low-emission technologies in maritime port operations.
Minister Vivian added that the decarbonisation and digitalisation of the maritime sector represent a profound transformation that goes beyond mere industry trends; they are significant opportunities that can revolutionise the way shipping and maritime operations are conducted. These two interrelated processes are not just advantageous; they are pivotal in shaping the future of the maritime industry and addressing some of its most pressing challenges.
The synergy between decarbonisation and digitalisation holds great promise, with each complementing the other to produce amplified benefits. One of the key advantages of this partnership lies in the realm of data-driven decarbonisation. Digital tools and technologies offer the means to collect, analyse, and interpret vast amounts of data related to energy consumption, emissions, and environmental impact.
This data serves as the foundation for informed decision-making regarding the implementation and effectiveness of decarbonisation measures. By leveraging digital resources, organisations can ensure that their efforts are both cost-effective and environmentally impactful, directing resources where they are needed most while minimising wastage.
Besides, the fusion of decarbonisation and digitalisation leads to the concept of continuous improvement. Digital analytics tools excel in identifying areas where further decarbonisation efforts can be deployed. This iterative process creates a feedback loop that is indispensable in an industry marked by rapid technological advancements and changing environmental regulations.
In addition, Minister Vivian stressed the importance of international law in guiding the conservation and sustainable use of the oceans. The United Nations Convention on the Law of the Sea (UNCLOS) plays a pivotal role in this regard, providing a comprehensive legal framework for all activities in oceans and seas. Recent accomplishments, such as the “Biodiversity Beyond National Jurisdiction” (BBNJ) treaty, represent significant milestones in global ocean governance.
The Minister is calling for collective commitment and collaboration across public, private, and civic sectors to create a more resilient, sustainable, and equitable world. “As we navigate the digital seas of the future, Singapore stands as a beacon of hope and inspiration for all who share a commitment to safeguarding our oceans and securing a brighter tomorrow,” he concludes.
Generative artificial intelligence (AI) is at the forefront of transforming the boundaries of digital reality, promising to take simplicity and turn it into complexity through the creation of patterns in images, sounds, and text. Researchers at the Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory (MIT CSAIL) have delved deep into this realm, introducing an innovative AI model that bridges the gap between two unrelated physical principles: diffusion and Poisson Flow. Their work has led to the development of the “Poisson Flow Generative Model ++” (PFGM++), which is poised to redefine digital content creation across various applications.
The PFGM++ model represents a leap in generative AI, offering the capabilities to generate a wide range of content, from images to audio. Its potential applications span from the creation of antibodies and RNA sequences to graph generation. At its core, PFGM++ extends the foundation of the Poisson equation, a concept from physics, to enhance its data exploration and generation capabilities. This breakthrough underscores the power of interdisciplinary collaboration between physicists and computer scientists in advancing the field of AI, as highlighted by Jesse Thaler, a physicist at MIT.
Thaler emphasises the remarkable progress achieved by AI-based generative models in recent years. These models have generated photorealistic images and coherent textual content, challenging the boundaries of artificial intelligence. Notably, some of these powerful generative models draw inspiration from well-established physics concepts such as symmetries and thermodynamics. PFGM++ builds upon a century-old notion from fundamental physics—the existence of extra dimensions in space-time – and transforms it into a versatile tool for crafting synthetic yet authentic datasets. The infusion of ‘physics intelligence’ is revolutionising the landscape of AI.
In the PFGM model, data points take on the role of minuscule electric charges within a multidimensional space, shaping an electric field that extends into an extra dimension, ultimately forming a uniform distribution.
This process is akin to rewinding a video, starting with charges and retracing their path along electric lines to recreate the original data distribution. This process enables the neural model to grasp the electric field concept and generate new data that mirrors the original.
The PFGM++ model takes this concept further by expanding it into a higher-dimensional framework. As these dimensions continue to grow, the model’s behaviour unexpectedly begins to resemble another crucial category of models known as diffusion models. This work aims to strike a balance, as PFGM and diffusion models occupy opposite ends of a spectrum: one is robust yet complex to handle, while the other is simpler but less sturdy. The PFGM++ model introduces a balanced middle ground, combining robustness with user-friendliness, revolutionising image and pattern generation and marking a significant technological advancement.
In addition to its adaptable dimensions, the research team has proposed a novel training approach that enhances the model’s understanding of the electric field, further boosting its efficiency.
To bring this concept further, the research team tackled a pair of differential equations detailing these charges’ motion within the electric field. They evaluated the model’s performance using the widely accepted Frechet Inception Distance (FID) score, which assesses the quality of generated images compared to real ones. PFGM++ excelled in demonstrating enhanced error tolerance and resilience regarding the step size within the differential equations, solidifying its position as a game-changer in the realm of AI-generated content.
In the future, the researchers are committed to refining specific aspects of the model through systematic approaches. They aim to identify the optimal value of D, customised for distinct data sets, architectures, and tasks, by closely analysing the behaviour of neural network estimation errors. Moreover, they plan to leverage PFGM++ in contemporary large-scale endeavours, particularly in text-to-image and text-to-video generation.
MIT’s PFGM++ stands at the forefront of a digital content revolution, bridging the gap between AI and reality. By integrating physics principles and advanced AI techniques, this innovative model promises to reshape the way we create digital content, opening up new horizons for creativity and application across various industries.
Senior Minister of State Dr Janil Puthucheary expressed his appreciation for the Singtel Cyber ELEVATE programme, highlighting its focus on bolstering cyber resilience among Small and Medium Enterprises (SMEs). This initiative demonstrates the importance of collective efforts in nurturing a strong cybersecurity ecosystem.
SMS Janil emphasised the critical role cybersecurity plays in realising Singapore’s Smart Nation vision. Trust in digitalisation and technology is paramount for individuals, businesses, and the nation as a whole. Maintaining this trust hinges on robust cybersecurity measures, as one breach can erode confidence and deter digital adoption.
The article underscores the significance of cybersecurity for businesses, both large corporations and SMEs. Just as individuals rely on technology for convenience and efficiency, companies harness digitalisation to reduce costs and explore new opportunities. However, poor cybersecurity can undermine trust, dissuading customers and employees from engaging with a business’s digital tools.
While SMEs may perceive cybersecurity as a daunting challenge due to limited resources, they possess an advantage in their relatively smaller attack surface. Implementing basic cybersecurity measures, such as antivirus software and data backups, can significantly improve their security posture. The government, through the Cyber Security Agency (CSA), offers resources and support to help SMEs enhance their cybersecurity.
The article also highlights CSA’s Chief Information Security Officers (CISOs)-as-a-Service scheme, which provides SMEs with funding support and tailored cybersecurity plans. The Cyber Essential and Cyber Trust marks, part of a certification scheme, enable organisations to demonstrate their commitment to cybersecurity, differentiating them in the market.
SMS Janil encourages businesses to adopt these cybersecurity initiatives, emphasising that cybersecurity is a collective effort that involves the government, industry, and the community. The Singtel Cyber ELEVATE Programme is cited as a prime example of such collaborative efforts. The programme offers workshops and incident response assistance to SMEs, with substantial funding support through SSG grants.
By stressing that cybersecurity is fundamental for Singapore’s digitalisation journey and calling on all stakeholders to contribute to strengthening the nation’s cyber defences. The Minister emphasises that active participation and commitment to cybersecurity are essential for collective advancement and a secure digital future.
Further, OpenGov Asia recently reported that the enduring warmth between Singapore and Canada finds new purpose in their robust bilateral cooperation, now extending to the realm of cybersecurity through the renewed Canada-Singapore Cybersecurity Memorandum of Understanding (MoU). This partnership underscores the paramount importance of a secure cyberspace.
One key aspect of this agreement is the facilitated exchange of critical cybersecurity information, enabling both nations to swiftly share threat intelligence, indicators, and best practices. This real-time sharing equips them to respond effectively to emerging cyber threats.
Also, the MoU places a strong emphasis on skill development, recognising the rapidly evolving nature of cybersecurity. By investing in the growth of their cybersecurity professionals, Canada and Singapore ensure they stay well-prepared and up-to-date with the latest techniques and technologies, fortifying their cyber defences.
Capacity building is another significant facet of the MoU. It empowers both nations to develop the necessary capabilities for rapid cyber incident response, including tools, processes, and expertise.
Beyond national borders, this collaboration has global implications, strengthening both countries’ positions in international cybersecurity discussions and partnerships. It underscores the importance of international cooperation in addressing the borderless challenge of cybersecurity.
The MoU also protects important assets and business interests in both countries, which is important for keeping the economy stable and safe in today’s digital, interconnected world.