To better serve and protect communities, maintain data security at scale, and perform essential tasks, all government agencies must establish a strong, contemporary data infrastructure that supports data innovation.
Government and the public sector stand to gain considerably by adopting AI into every element of their job. Government AI must consider privacy and security, compatibility with old systems, and changing workloads.
Artificial intelligence is already being used to help run the government, with cognitive applications doing everything from reducing backlogs and cutting costs to handling tasks that humans cannot easily do, such as predicting fraudulent transactions and identifying criminal suspects using facial recognition.
While AI-based technology may fundamentally transform how public-sector employees do their jobs in the coming years — such as eliminating some jobs, redesigning countless others, and even creating entirely new professions — it is already changing the nature of many jobs and revolutionising aspects of government operations.
AI in government services is centred on machine learning and deep learning, computer vision, speech recognition, and robotics. When used correctly, these techniques yield real, measurable results.
Cyber anomaly detection, on the other hand, has the potential to transform cybersecurity strategies in government systems. The possibilities are endless, but they are only now taking shape.
The OpenGov Breakfast Insight on 4 August 2022 offered the most cutting-edge innovative method for enabling large-scale analytics in the public sector.
Public Sector Services Powered by Data and AI
Kicking off the session, Mohit Sagar, CEO & Editor-in-Chief, OpenGov Asia acknowledges that data and artificial intelligence will drive the future of government services. “With a unified data platform, the public sector will be able to better serve citizens and protect their communities.”
Governments, in general, are one of the world’s largest employers, with numerous ministries, agencies and departments. The vast network of offices and services introduces significant complexity, operational inefficiencies and, frequently, a lack of transparency.
Agencies must deal with massive amounts of data in various structured and unstructured formats, which will only increase over time. Moreover, they are unable to recognise nor take advantage of the full potential of data, analytics and data due to legacy systems and traditional data warehouses. These are, more often than not, classified by agencies and departments, sabotaging their efforts to undergo digital transformation.
To generate real-time actionable insights and make data-driven decisions, data must be securely shared and exchanged at a scale. Giving government organisations and policymakers access to deeper, more relevant insights into decision-making is only possible through data modernisation.
It is given that much of the information that government agencies oversee is extremely sensitive, including information about the nation’s infrastructure, energy and education as well as information about personal health and financial matters. Data protection at every level of the platform must be ensured through tight interaction with granular cloud provider access control methods.
The fact is that citizens stand to gain through more individualised and effective services, enhanced national security, and wiser resource management that a robust data strategy can give.
Government agencies may adapt to readily access all their data for downstream advanced analytics capabilities to support complicated security use cases by integrating data with analytics and AI.
With such a platform, government security operations teams can quickly identify sophisticated threats, minimising the need for human resources by analytical automation and collaboration and speeding up investigations from days to minutes.
Data stored by public sector bodies can be extremely valuable when shared with other departments and used to elevate data-driven decision-making. The time has come to leverage the cloud’s scale and democratise secure data access to enable downstream BI and AI use cases, allowing government agencies to accelerate innovation.
Governments can improve citizen services while implementing smarter and more transparent governance by leveraging data, analytics and AI for actionable insights at scale. It eliminates data silos and improves communication and collaboration across agencies to achieve the best results for all citizens, delivering personalised citizen services while achieving data security and cyber resilience for a satisfied population.
Building a Scalable Data, Analytics and AI Strategy with Lakehouse Platform
Data infrastructure is an essential aspect of data processing and analysis, according to Chris D’Agostino, Global Field CTO, Databricks.
The complete backend computing support system needed to process, store, transfer and preserve data is referred to as the “data infrastructure.” Without the appropriate data infrastructures, businesses and organisations cannot extract value from their data.
“If there’s one thing that many of us all have in common, it’s that we believe in the impact that data and AI can and will have on the world,” says Chris. “Today, data and AI are transforming every major industry.”
On the other hand, with the ongoing globalisation of artificial intelligence and machine learning, there is an increasing need to rethink an organisation’s whole leadership and thought process, from product strategy and customer experience to strategies to increase the efficiency of human resources.
Rules, models and policies that specify how data is gathered stored, used and managed in the cloud within a company or organisation are contained in cloud data architectures. It controls the data flow, processing, and distribution of that data across stakeholders and other applications for reporting, analytics and other purposes.
Every year, data collection by businesses and organisations increases thanks to IoT and new digital streams. In this climate, cloud data architecture-based data platforms are displacing more conventional data platforms, which are unable to handle the growing data quantities and increasingly demanding end-user applications like machine learning and AI.
Companies are using all available data to expedite, automate and improve decision-making to increase resilience and obtain a competitive edge in the market. These methods for digital transformation are supported by AI and data literacy.
To fully realise the benefit of data and AI, change management is necessary, just like with any change in working practices. It is essential to create a cohesive and evolving plan. This can be based on three pillars: business strategy, operationalisation and architecture (after the technology barriers have been recognised).
Whether it’s a business strategy, data management, or organisational knowledge, it’s critical to assess the organisation’s level of maturity and data literacy.
Databricks Lakehouse Platform combines the best elements of data lakes and data warehouses to deliver the dependability, strong governance, and performance of data warehouses while also allowing for the openness, flexibility and machine learning support of data lakes.
By removing the data silos that normally segregate and complicate data engineering, analytics, BI, data science and machine learning, this unified approach streamlines the current data stack. To increase flexibility, it is created using open standards and open-source software.
Additionally, its shared approach to data management, security and governance works more productively and develops more quickly.
In a global research effort in collaboration with an institution, Databricks polled 117 data leaders and the survey’s findings were illuminating and instructive.
An analytics leader’s biggest regret and issue was not embracing an open standards-based data architecture. “This didn’t surprise us. We are seeing many of our clients adopting the best open-source technologies,” Chris reveals.
In addition, the poll showed that only a small group can be successful with their AI projects, while the multi-cloud is a growing reality.
Most executives say they are currently evaluating or implementing a new data platform to address their current data challenges. During these challenging times, cloud technologies allow businesses to respond and scale rapidly.
With scalable data, analytics and AI strategy, organisations can create significant value. They can implement real-time monitoring, create tailored customer experiences, deploy predictive analytics, and much more. Databricks offers tools that are specifically designed to address the challenges described.
In Conversation With: The Future of Government Services and Shared Data
All the government agencies’ data must be protected and every component must be safeguarded. Unified data with analytics and AI makes it simpler to provide quick access for the organisation’s teams and complete support for security use cases.
Joseph Tan, Deputy Director (Capability Development), Data Science & Artificial Intelligence Division, Government Technology Agency emphasised the importance of data modernisation with a holistic approach. A policy-driven industry that would entrust the organisations’ data will lead to better customer service.
Joseph is convinced that “As technology advances, most businesses are confronted with issues caused by an existing legacy system. Instead of providing companies with cutting-edge capabilities and services such as cloud computing and improved data integration, a legacy system keeps a business constrained.”
A legacy system is computer software or hardware that is no longer in use. The system still meets the needs for which it was originally designed, but it does not allow for expansion. Because a legacy system can only do what it does now for the company, it will never be able to interact with newer systems
“A business might keep using an old system for more than one reason. In the world of investments, for example, upgrading to a new system requires an initial investment of money and people, while keeping an old system running costs money over time,” Joseph explains.
On the other hand, when a whole company moves to a new system, there can be some internal resistance and worries about how hard it will be and what might go wrong. For example, legacy software might have been made with an old programming language, which makes it hard to find staff with the right skills to do the migration.
Additionally, there might not be much information about the system, and the people who made it might have left the company. It can be hard to just plan how to move data from an old system to a new one and figure out what needs the new system will have.
Increased security risk, instability and inefficiency, incompatibility with new technology, company perception and new hire training, single point of failure and lack of information are a few issues that older systems run against.
At best, outdated legacy systems are a pain, and at worst, they can seriously jeopardise an organisation’s overall IT security strategy. Furthermore, the longer a business waits to update a legacy system, the more challenging the transition will be.
System modernisation is almost always a must before digital transformation can occur. Most businesses won’t be able to fully profit from contemporary technologies and solutions without it. “With this, finding the right talent would be very beneficial for the organisation to manage their modern technologies,” says Chris.
Some advantages of updating legacy systems such as enterprises can enhance their IT security and sustain it by taking advantage of vendor upgrades and fixes in the future by updating legacy systems. Modern systems and solutions, including retrofitted legacy systems, are built to deliver optimal performance without consuming excessive amounts of computational power.
Even a legacy system may be modernised to include new features, giving the business users additional capability and a better user experience. The truth is that updated legacy systems require less input from IT staff, freeing them up to focus on activities that really benefit a company.
Similarly, governments all over the world will undergo a fundamental upheaval because of big data and artificial intelligence. Even though the public sector has long used data, the potential and actual use of big data applications have an impact on some theoretical and practical aspects of decision-making. This is fuelled by both the data revolution and the concurrent advancement of advanced analytics.
The availability of data that may be employed in the computer learning process is a major aspect of the maturing of AI technology and the practicality of AI applications to public policy and administration.
However, without the underlying analytical technologies, the data revolution can be seen as only a change in the size of the data that is currently available rather than a fundamental change. As predictive analytics, innovative data and artificial intelligence gain prominence, it is critical to understand their roles in the public sector.
At the start of their data journey, organisations require data capture systems to discover information embedded in all levels of business operations. Following that, the data must be validated for informational accuracy and integrated to reduce the risk of drawing incorrect conclusions and to create a unified view of the business.
The final step is analysis, in which businesses collaborate with data analysts who use cutting-edge analytics tools to peel back layers of proprietary data in search of insights to power change.
Larger companies with more complex data integration and analytics processes can add predictive analytics as the fourth step.
When analysing enormous datasets (often referred to as “big data”), predictive data analytics, also referred to as advanced analytics, uses autonomous or semi-autonomous algorithms to make predictions based on information patterns. Data analysts may provide clients with greater service, which can result in more meaningful transformations, by delivering deeper insights into company data more quickly.
Think about how AI and machine learning might be used in the context of the data processing flow. Analytics tools assist data analysts in identifying areas for improvement in the business after private data has been collected, analysed and combined into a single view.
AI excels at discovering data patterns that humans cannot perceive. This is quickly scalable based on the amount of the dataset. To make data analytics frictionless, machine learning algorithms can also adapt to data pipeline input and human behaviour patterns. This can be accomplished by utilising natural language processing to recode communications between individuals within an organisation so that algorithms can comprehend and act on them.
Artificial intelligence and machine learning have become the “next big thing” in the government sector, while advanced analytics, also known as predictive data analytics, utilises autonomous or semi-autonomous algorithms to evaluate enormous datasets and generate predictions based on information patterns.
By developing deeper insights into company data more quickly, data analysts can provide better service to clients, which can result in more profound transformations. Consider the application of AI and machine learning to the data handling process. After unique data has been collected, analysed and consolidated into a single view, analytics tools assist data analysts in identifying areas for business development.
Smart solutions enable advances that are self-sustaining and AI and ML are at the heart of these. Executives and practitioners agree that AI and ML are catalysts and drivers across both the public and private sectors. As an AI system has a deeper understanding of data platforms and processes, it can continue to enhance its efficacy and capacity to provide personalised insights from massive data silos.
In closing, Chris shared that Databricks was established in 2013 to assist data teams in resolving the most challenging issues facing the globe, and they have been investing in the Asia Pacific region to help this objective forward. “While there are countless possibilities, there are several challenges as well.”
It is insufficient to merely fund and use AI technologies. Businesses and organisations need a talent pool of experts that can use these AI tools in a way that can guarantee the greatest outcomes.
Currently, customers from a wide spectrum of businesses are collaborating with Databricks to tailor their clients’ experiences to improve their capacity to react to market dynamics and safeguard both their own and all stakeholders’ interests. This is most evident in real-time for financial services organisations to help deal with fraud.
“My particular favourite is Databricks’ assistance in Mitsubishi Tanabe’s efforts to quicken drug clinical trials in Japan. The possibilities for our collaboration are virtually endless,” Chris reflects.
Mohit recognises that digital transformation is vital in today’s VUCA environment. What is essential is that industry and government collaborate and work together. For long-term success and sustainability, there have to be partnerships between the public and private sectors.
Strategic alliances gave businesses and government agencies a competitive edge. Partnerships are mutually beneficial, helping each other grow and get better. When people genuinely try to help each other, “it can help to get over certain weaknesses and be first movers in their field.”
Singaporeans, particularly those who enjoy benefiting from and contributing to the wisdom of the crowd or sharing their thoughts on government policies, will undoubtedly enjoy CrowdTaskSG, a newly created crowdsourcing web service that taps Singaporeans’ collective knowledge.
Citizens will discover many possibilities to contribute their ideas and feedback to government entities on CrowdTaskSG. Citizens can take part in various tasks, such as surveys on government policies and national identity. Citizens may also be assigned duties to test prototype items, such as new government websites, and provide comments on areas for improvement.
The portal is a one-stop shop, collecting duties from across the government and making them easily accessible to those who are interested. With their Singpass account, all Singapore citizens and Permanent Residents aged 18 and over can use the portal.
Aside from hearing people’s ideas, the procedure is intended to be enjoyable. The app’s goal is to be as enjoyable as popular online games. Users can earn virtual coins by completing activities on CrowdTaskSG and trade them for real-world rewards such as coupons.
Recognising that Singaporeans are the ultimate users of government services, agencies have begun including the public early in the workflow of product or policy production to ensure that their opinion is considered from the outset. GovTech believes that citizens are co-creators in building a strong society.
The current crowdsourcing scene may be seen as fragmented, making it difficult for Singaporeans to have an overview of all the options available, while agencies struggle to discover the correct target participants. CrowdTaskSG addresses these difficulties by consolidating all government crowdsourcing jobs on a single website.
To reach their desired demographic, agencies can also use the tailored assignment tool. For example, if they want to test how user-friendly a product is for elderly users, they may quickly screen for older volunteers.
The CrowdTaskSG team is also trying to expand the number of tasks available, such as polls and A/B testing, and is reaching out to other agencies to learn how the platform can better support their crowdsourcing initiatives.
In addition, GovTech is all about using technology to make everyone’s lives better. CrowdTaskSG is based on the idea that Singaporeans are not only people who benefit from things but also people who can make important contributions.
The agency is asking everyone in the country to help solve problems by using their knowledge and skills. They are hoping that the input and ideas of the public will be the best part of the government’s next digital product.
Meanwhile, OpenGov Asia reported earlier that more users are finding it easy to do business in their native language now that Singpass supports Singapore’s four official languages, which are English, Tamil, Malay, and Chinese. By choosing their preferred language in the app’s settings, more users can enjoy the convenience of doing transactions in their native language. It was also the job of the legal divisions and other government departments to make sure that the texts follow the rules that are already in place.
Even though the multilingual feature has been successfully released, more work needs to be done. When a spreadsheet is used to help with translations, translators can’t see how the app looks and what is being translated side by side. This can slow down translations.
Singpass is one of the eight national strategic projects overseen by GovTech that help Singapore achieve its goal of becoming a “Smart Nation.” Over 2,000 government and business sector services are accessible conveniently and securely online and in person thanks to a Singaporean resident’s digital identification.
The Ministry of Finance has announced it would develop a foundation for a modern and transparent digital financial ecosystem based on big data and open data by 2025. The initiative will be carried out under the Ministry’s digital transformation plan aimed for 2025, with orientations to 2030. It was newly signed by Finance Minister Ho Duc Phoc.
By 2030, the Ministry strives to establish a developed digital financial ecosystem with enhanced cybersecurity and efficiency. The overall objective of the plan is to accelerate digital transformation in tandem with building a sustainable, advanced, and globally-integrated national financial system. The move is expected to boost growth, enhance the resilience of the economy, and maintain macro-economic stability and financial security.
The Ministry will apply fourth industrial revolution technologies and leverage the progress that’s been made with the development of the e-government to transform the finance sector. It will offer more digital financial services to bolster the digital economy and digital society. The finance sector will play a vital role in creating, connecting, and sharing data, digitising platforms, and optimising the digital information of the government, people, and organisations.
The Ministry will cut down the number of public administrative procedures, and reform, simplify, and standardise public financial services to reduce costs and improve service quality and productivity by 2025. Accordingly, the delivery of most public administrative services will be shifted online, providing citizens with a paperless and convenient experience. The Ministry also intends to step up the implementation of the National Single Window system and the ASEAN Single Window system to facilitate trade.
Further, the Ministry has plans to set up a modern, public, and transparent digital financial platform by 2025, based on big data and open financial data. By 2030, the Ministry claimed a digital financial ecosystem will be formed in all fields, ensuring administrative effectiveness and the safety of information. Civil servants and public employees will be trained in digital skills to facilitate the process.
The rate of financial technology adoption in the country is gradually and significantly increasing. The number of subscribers of the government’s Mobile Money initiative has quadrupled since the service was launched in January this year. 67% of these subscribers reside in rural, mountainous, border, island, and remote areas.
As OpenGov Asia reported, subscribers with at least one Mobile Money transaction by the end of June exceeded 1.72 million, accounting for 97.3% of the total. Additionally, the number of households with fibre optic connections in the first half of this year increased by 9% compared to the same period of 2021 and by 17% against that of 2020. According to the Ministry of Information and Communications (MIC), the goal of having 75% of households using fibre optic services this year is achievable. Vietnam also aims to have more than 50% of the population own digital payment accounts.
In deploying Mobile Money, the government has taken advantage of existing infrastructure and data and telecommunications networks. This has reduced social costs and expanded cashless payment channels on mobile devices. Industry experts have stated that the COVID-19 pandemic highlighted the need to universalise digital payments. Regardless of an Internet connection or bank account, and with just phone numbers, users can easily make cashless transactions through their Mobile Money account. The pandemic also greatly boosted the e-commerce market, with non-cash payments accounting for 70% of total retail transactions in Vietnam last year.
While nursing education mainly consists of classroom teaching and clinical practice, face-to-face teaching and clinical placements at medical institutions have been affected as a result of the COVID-19 pandemic. Thus, to develop the training and learning experience of nursing students, a research team led by Dr Justina LIU, Associate Professor of School of Nursing, and Dr Kitty CHAN, Senior Teaching Fellow of the same school, has developed a virtual learning system “Virtual Hospital” that uses virtual reality (VR) technology to offer an innovative experiential approach to nursing education.
Virtual Hospital is the first-of-its-kind virtual learning system in Hong Kong that simulates the complex and chaotic environment of a real-life hospital ward. With a total of 11 games, the system provides five scenarios, namely “Clinical Practicum Orientation”, “Challenges of Delirium”, “Managing Multitasks”, “Prevention of Errors” and “Potential Heart Attack”.
Over 1,200 combinations of randomised situations and multiple choices make it difficult for students to predict the tasks they will be handling, while they are required to provide instant responses to multitasks and make appropriate nursing decisions through assessing a patient’s condition and interpreting their medical information.
It was noted that the majority of existing VR learning systems are skill- and procedure-focused and adopt a single patient management setting. The PolyU-developed Virtual Hospital requires students to handle multiple beds and take care of multiple patients at the same time. Unexpected incidents and clinical pitfalls are generated to test the student’s ability to apply their knowledge and prioritise nursing tasks amid various disruptions within a limited time.
Through VR experiential learning, students can improve the soft skills that are essential for their clinical practice, including situation awareness, flexibility to handle emergencies, as well as decision-making and communication skills.
Virtual Hospital allows users’ responses and decisions to be displayed on a TV monitor for group participation, while their communication with the virtual patients can be recorded for review. By answering multiple-choice questions, the student can reflect on the judgements and decisions made. In addition, the game data and the automated assessment function of the system also provide convenience for teachers in tracking students’ progress and evaluating learning outcomes.
Since its launch in January 2022, Virtual Hospital has benefited over 450 nursing students. With Virtual Hospital, students are provided with a cooperative case-based learning opportunity. Supplemented with current practice on patient simulators, it is hoped that Virtual Hospital can further help students master the skills necessary for clinical nursing and most importantly for reducing errors in actual clinical situations.
The team is pleased that the virtual learning system has received positive feedback from students, and looks forward to incorporating interprofessional and interdisciplinary elements in the future, as well as introducing the system to other nursing institutions in Hong Kong and the Greater Bay Area.
A Year-3 student from PolyU School of Nursing noted that she was impressed by the fidelity of the Virtual Hospital in terms of the environmental details. The VR learning experience strengthened her confidence in clinical practice as the system allowed every student to deal with nursing problems on their own, which helps them better prepare for the stressful work situation faced by nurses in the real clinical environment, she said.
The Cybersecurity and Infrastructure Security Agency or CISA has announced the “Protecting U.S. Elections: A CISA Cybersecurity Toolkit,” which provides state and local election officials with free services and tools to improve the cybersecurity and resilience of their infrastructure.
“I am very proud to announce another valuable resource that can help officials further reduce their cyber risk and improve their security posture,” says Jen Easterly, Director, CISA.
She added that the state and local election authorities must deal with challenges to their infrastructure daily from things like insider threats, malicious actors, and foreign involvement. This is just another tool to aid them in their continuous efforts to maintain the security and resilience of the American election processes.
CISA regularly collaborates with state and local election officials to safeguard their systems as the principal federal agency in charge of election security. In addition, CISA provides several services, information products, and other resources.
As the principal federal agency in charge of overseeing national election security, CISA has assembled a toolkit of free services and tools through the Joint Cyber Defense Collaborative (JCDC) to assist state and local officials, election officials, and vendors in enhancing the cybersecurity and cyber resilience of the U.S. election infrastructure.
The free tools, services, and resources offered by CISA, JCDC members, and other members of the cybersecurity community are included in this toolbox. These free resources were assembled by the JCDC of CISA, which collaborated with organisations from the public and private sectors, including the election community, and JCDC alliance members. The toolkit’s broad categories are arranged to assist election officials: Utilise an Election Security Risk Profile Tool created by CISA and the U.S. Election Assistance Commission to evaluate their risk; locate tools for securing voter data, websites, email systems and networks. Also, safeguard assets from assaults such as phishing, ransomware, and distributed denial-of-service (DDoS).
The most recent tool that CISA and its partners have created to aid the election community is the toolkit. To counteract the disinformation, CISA’s website provides a wealth of information and advice on topics ranging from cybersecurity to physical security for polling places and election officials.
The organisation collaborates with election authorities in all 50 states, the District of Columbia, and the territories to provide cybersecurity services, technical help, and guidance as well as to frequently share relevant and useful information and intelligence.
The following steps should be taken to create the cybersecurity baseline before employing the toolkit to handle risks, according to CISA: Use the free CISA Cyber Hygiene Services Vulnerability Scanning; prioritise patching known exploited vulnerabilities; maintain updated systems and software, adhere to best practices for password management, such as using multifactor authentication and a password manager; and create offline backups of your data.
Meanwhile, the White House Office of Science and Technology Policy (OSTP) is seeking public input on how to safely progress and adopt the Privacy-Enhancing Technologies (PETs). This can enable the future by embracing data-driven technologies like AI while safeguarding privacy.
PETs are tools that let researchers, clinicians, and anyone with permission glean insights from sensitive data without ever having access to the data itself. The fundamental value of PETs lies in their ability to keep data “hidden” from researchers while allowing analysis of that data.
It may enable new types of collaboration and norms for the appropriate use of personal information. Agencies may facilitate greater collaboration across entities, sectors, and borders to address shared concerns, so contributing to the development of solutions in areas such as health care, climate change, financial crime, human trafficking, and pandemic response.
The Philippine Space Agency (PhilSA), the Department of Science and Technology Advanced Science and Technology Institute (DOST-ASTI), and the Bangko Sentral ng Pilipinas (BSP) have begun testing satellite internet service in two rural banks in Batangas province.
“PhilSA and DOST-ASTI will process data to look at the network performance against the actual connectivity needs of the banks. Information from these reports will be utilised by BSP as we move this partnership forward,” says Ma. Victoria Gazmin-Basto, Officer-in-Charge, PhilSA Space Business Development Division.
The stated banks were previously recognised by the Department of Information and Communications Technology (DICT) as being in Geographically Isolated and Disadvantaged Areas (GIDAs), where the installation of new terrestrial networks to improve connectivity may be impractical.
The provision of technical assistance to BSP is consistent with PhilSA’s mandate of assisting other government agencies or departments, as well as the private sector, in carrying out their responsibilities using space science and technology applications and satellite data.
To collect data, a Weather and Performance Monitoring System (WPMS) equipment built by DOST-ASTI was placed up near the two banks. The WPMS includes a network performance monitoring device that is linked to the satellite internet user equipment installed at the banks.
Among other things, the device measures network metrics such as upload and download speeds, throughput, latency, and jitter. Furthermore, the WPMS includes weather stations that monitor meteorological parameters such as rain, temperature, humidity, and pressure at the same time. The obtained data will subsequently be analysed to investigate and evaluate the satellite internet service’s performance and reliability under local weather conditions.
According to Bryan Paler, Senior Science Research Specialist at DOST-ASTI, his agency encourages collaboration with PhilSA and BSP to demonstrate ASTI’s locally developed technologies in applications that benefit the Filipino people.
Aside from the WPMS, they are investigating how they may put other homegrown technologies to use, such as bridging the digital divide and promoting financial inclusion. DOST-ASTI intends to capitalise on the partnership’s benefits in the future by educating people about financial literacy.
The organisations intend to use the digital TV technology and internet infrastructure that they are constructing to teach people in the unserved and underserved areas about financial literacy in addition to doing research on the usefulness and efficiency of satellite internet services for banks. The Philippine government aims to provide rural areas with cutting-edge technology while also teaching residents how to use it for their own benefit. Out of the country’s 1,634 municipalities, 33% or 533, are still unbanked and do not have access to financial inclusion services.
The Philippines believes in satellite technology’s ability to improve connectivity in rural areas, hence increasing banks’ capacity to deliver digital financial services and encourage greater financial inclusion in unserved and underserved areas. Digital financial services such as remittances, bill payments, and opening transaction accounts, among others, would become more inclusive and accessible with improved connections in rural areas.
A Memorandum of Understanding (MoU) has been signed between PhilSA, DOST-ASTI, and BSP to encourage access to high-quality financial services enabled by internet connectivity. As transactions and services move to online platforms, this endeavour will increase digital inclusion.
Internet connectivity is recognised as a crucial enabler of financial and economic inclusion, as financial activities and services migrate to online platforms. As internet connection is increased, banks and other financial service providers will be able to better serve rural areas with additional internet-connected access points, such as automated teller machines and cash agent services.
Governance and the improvement of basic public services have come a long way with the help of digital technology. Given the number of crises in 2020, digital solutions platforms and tools have been a huge help to disaster preparedness and critical event management.
A lot of earthquakes and tsunamis happen near the coast of Indonesia. One of them is Banten, which is on the southern coast of the Lebak Regency. Studies show that a megathrust earthquake could have a magnitude of 8.9 and cause a tsunami that is up to 20 metres high.
With this, the ITB team then did a service programme, which included making maps of residential areas in Cimampang and Sukarena, modelling tsunami flooding, mapping exposure with unmanned aerial vehicles (UAVs), and making public information boards, surveying village resources, and digitising evacuation route maps. ITB works with different groups to get the southern coastal community of Lebak ready by doing things that are related to the Disaster Resilient Village indicator.
Since 2021, ITB’s service programme for the people on the southern coast of Lebak has been running well with the help of many offline and online partners and one of the things that were done was to teach people how to protect themselves from earthquakes and tsunamis. To be able to prepare for disasters, education needs to be a higher priority. People also think that the parameters of the emergency response plan and the early warning system at the school are still low, so they need to learn more.
Several government agencies and other groups took part in an evacuation drill. After the group simulation, people worked together to make tents, find places to stay, run a public kitchen, collect data on health, and do triage.
On the other hand, perceptions and understandings of the residents are strengthened through artistic expression channels after simulation activities. With help from the local government, teachers, and students, they put together materials to help keep school-based efforts to reduce disaster risk going.
By adding more art elements, the final forms of educational materials were made in a way that worked well. First, the book “Edukasi Siaga Caah Laut” has stories about how people in the area dealt with the tsunami and what they learned from evacuations and simulations of evacuations.
The second piece is a dance performance set to Sundanese Kidung that the students have written, sung, and played; and lastly, the word “Mitigarium,” which is an installation, is made of things that can be found in schools. The way things are set up shows expressions of tsunami events, evacuations, and other situations.
Furthermore, due to its location on the Ring of Fire, Indonesia is vulnerable to droughts and floods, as well as earthquakes, tsunamis, and volcanoes. Java and Sumatra, the islands in the south and west, face a wide range of natural dangers. Most of the time, droughts and floods happen on the other islands. Heavy rains cause flooding and landslides in places in the middle of the country with steep terrain.
Indonesia is one of the countries in the world with the most earthquakes, thus, the government is coming up with new ways to get ready for these disasters. The nation’s Meteorology, Climatology, and Geophysical Agency (BMKG) cited that they will maximise their digital technologies to improve their systems for collecting data on earthquakes and to get more accurate information and parameters.
A research team from Nanyang Technological University, Singapore, and AI industry leaders have created a new standard on AI security in response to the demand for securing the integrity of AI programmes and building trust in AI solutions.
“By providing advice on the necessary defences and assessments to make AI applications more secure, we aim to create trust in AI for AI practitioners. At the same time, we hope that consumers will feel more confident in using AI solutions that have been certified with the standard,” says Prof Liu Yang of NTU’s School of Computer Science and Engineering, who also led the research development of the standard.
Despite the many advantages of AI adoption, cybersecurity risks like hacking constitute a serious risk to AI systems, particularly in situations where hackers may access sensitive data or cause automated systems to malfunction. However, there aren’t many rules protecting the security of AI systems.
The standard will be used to direct worldwide standardisation plans in this field through the International Organization for Standardisation (ISO), making Singapore one of the first nations in the world to steer advancements in AI security.
The new standard explains the different kinds of attacks that AI systems could face, how to measure the security of an AI algorithm, and what AI professionals can do to stop these kinds of attacks. It took a year to make, and 30 AI and security experts from business, academia, and the government helped make it.
The standard highlights four case studies where security breaches could have disastrous effects to show how important secure AI systems are. These case studies include content filters on social media platforms to flag offensive content, credit scoring systems to safeguard people and credit institutions, AI-enabled disease diagnosis systems, and systems that detect and shield computers from malicious software.
There could be serious effects on people’s lives if these AI systems fail. Users might be exposed to extremist content on social media sites, get an erroneous diagnosis, or have their credit score incorrectly determined, for instance.
Meanwhile, scientists from the National University of Singapore and NTU Singapore’s Centre for Environmental Life Sciences Engineering (SCELSE) have developed a method to remove phosphorus from wastewater at temperatures higher than those permitted by currently used methods by storing the chemical in bacteria.
Current phosphorus removal techniques struggle to work effectively in temperatures above 25 degrees Celsius, which are becoming more common in warm countries. This is expected to occur in additional nations as a result of global warming.
Because water reclamation plants in Singapore are home to a range of microbial species, the SCELSE-developed approach, which is based on bacteria, would help to “future-proof” the removal of the toxin. This is because research has shown that at 30 and 35 degrees Celsius, it successfully removes phosphorus from wastewater.
Candidatus Accumulibacter is the name of the bacterial genus that removes phosphate from wastewater and stores it as polyphosphate granules inside itself, and it is not dangerous to the environment and to humans as well. Scientists say that their method could be used both in small reactors in the lab and in large treatment plants.
The bacteria-based technology makes it possible for biological phosphorus removal to work at temperatures as high as 35 degrees Celsius. This would help “future-proof” phosphorus exclusion, since other techniques that use biological advances only work at cooler temperatures and would be less efficient as global warming affects temperatures to rise around the world.