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The development of a country’s digital industry is inextricably linked to its economic foundation and can be viewed as a development cycle that constantly circulates and builds on top of one another. As Indonesia strives to improve its industry competitiveness, the country’s economic foundation will need to be revamped to accelerate a digital transformation. This is no longer just a component of economic development; it is the primary driver of national economic growth.
The country is striving to realise its vision of Indonesia EMAS 2045, which calls for an equitable distribution of wealth and the economy, especially the digital economy. Indonesia’s resilience and success in the digital age will be further tested as it takes on the role of the G20 Presidency.
The Indonesia OpenGov Leadership Forum 2022, which took place on 21 July 2022, at the JW Marriott Hotel in Kuningan, brought together senior digital executives eager to strengthen and support Indonesia’s capacity to reinvent itself. It was an opportunity to connect with relevant stakeholders to learn more and better understand the plans for Indonesia’s Digital Economy and their role in them.
The Importance of Digital Roadmap


In his opening address, Mohit Sagar, CEO and Editor-in-Chief of OpenGov Asia, urges people to rethink their preconceived notions of technology. On being asked if the polling devices they were given were intelligent, most of the delegates said yes. This is where the crux of the problem lies, Mohit feels. People believe that sophisticated technology is automatically intelligent – this fallacy needs to be reconsidered and rectified.
Another term that is misinterpreted is “the cloud.” Mohit cautions ASEAN nations to take a lesson from Estonia. While it uses the cloud to better connect citizens and services, it faces a significant danger of internet attacks.
The truth is that “cyber security is a problem for everyone”, not just Estonia. All nations are equally vulnerable as technology is comprehensively deployed. This is not, Mohit believes, a reason to be afraid of digital progress.
Digital transformation has become a catchphrase and often a misunderstood buzzword. While transformation was happening earlier, the pandemic has accelerated it tremendously. Remote working, e-commerce, digital citizen services, etc. fast became the need and the norm. However, early measures were ad-hoc and often a hastily deployed mix of technologies designed to ensure the survival of organisations rather than any long-term strategy.
Two years into the pandemic, both the private and public sectors across the world are exploring more permanent solutions, and Indonesia is no different. With the help of its Digital Roadmap, which defines the needed pillars to support digital transformation, Indonesia should be more accessible and transparent with its data to attract more foreign investment and trade.
This is more critical considering the plans to move its capital from Jakarta to a new city – Nusantara on the island of Kalimantan as well as Indonesia’s turn to host the G20 Presidency, which has put it on the map of the world.
Given the shared difficulties in implementing the Fourth Industrial Revolution (4IR) for most ASEAN nations and considering how interconnected the world has become, some solutions and platforms are common to all and should be interoperable.
For instance, different nations are developing multiple applications to meet various (albeit similar purposes). Mohit suggests creating stronger digital ecosystems in each nation but developed in such a way that they speak and work with each other through a cooperative app or layer.
In the current landscape, if a country wants to both survive and thrive, it should consider innovative technologies as its main priority. Moreover, as each nation has its own set of goals, mandates and deliverables, it is vital to adhere to whatever the nation as a whole wishes to establish. And as every country increasingly has access to the same set of talent and technology, Mohit advises the audience to create their own roadmap.
Keeping Citizens at the Heart of Digital Transformation: A Vision for the Future and a Forward-thinking Approach


According to Dr Ir Slamet Soedarsono, the Acting Deputy Minister for Political Affairs, Law, Defense and Security for Indonesia’s Ministry of National Development Planning / Indonesia’s National Development Planning Agency, governing in the digital era is a constant opportunity that comes with constant challenges.
In addition to the pandemic, there are a few other issues that need to be resolved, such as the inadequate infrastructure, the underutilisation of certain sectors and the need to strengthen the digital ecosystem in terms of security, knowledge and awareness.
However, the epidemic demonstrated that people can remain connected through a plethora of digital offerings and platforms. More than 60% of people use social media and were already connected online before the pandemic.
In the digital economy, the number and sophistication of internet users are vital to the survival of a nation. This is in line with the Ministry’s policy orientation, which followed the President of Indonesia’s directive and the SDGs.
SDGs offer a strong foundation for the 2045 Indonesia vision (Indonesia EMAS 2045), one of which is to accelerate economic change, as Indonesians become more networked with one another and concentrate on digital transformation. The difficult part of achieving this goal creating institutional structures, corporate processes and rules relating to the national digital ecosystem.
Dr Slamet acknowledges that the digital transformation in Indonesia affords opportunities for easier implementation, as evidenced by the achievements. The government of Indonesia provides various talent frameworks based on the needs and capabilities of its citizens.
The Ministry is also developing appropriate architecture to accelerate the digital government transformation, as well as the One Data Indonesia policy, the National Integrated Data Centre and e-government implementation through a variety of systems.
As a result, Indonesia’s performance on the United Nations (UN) E-Government Development Index (EGDI) and Environmental Performance Index (EPI) is improving. Indonesia has risen to the top of the EGDI and EPI rankings by transforming the fundamentals through digital transformation.
Practical Applications of Machine Learning in Government and Finance


Jennifer Robinson, SAS’s Global Government Strategic Advisor, defines machine learning as a sophisticated system that can learn from data, identify patterns and make decisions without human intervention.
Machine learning, unlike traditional programmes created by humans, has no rules. Thus, the machine model processes so much data that must establish directions based on what the data reveals about itself -the more accurate the data, the more refined the result.
Jennifer believes that the key fundamental aspects of machine learning are related to the ingredients of machine learning itself. It typically consists of computing power, massive amounts of data and various types of analytic models. This is evidenced in real-world cases, including property valuations, smart cities, investigations management, data analytics centres, insurance and social services.
A concrete example of this is how roadway congestion and optimising public transportation in Turkey’s largest city were addressed using AI.
The machine accomplished this by understanding and predicting traffic, allowing them to appreciate the flow of the sections. The machine provided ways to slow down traffic for 5 minutes, reducing traffic load and tons of carbon dioxide emissions. AI could also process commuter data segmentation by analysing movement which offers fantastic traffic benefits to citizens.
In the case of investigation management in the United States, criminals who were last seen with their car in a specific driving location can be solved with AI in a matter of hours rather than days. When interpreted and wrapped in machine learning, the links between criminal activities become clear.
AI also helps Northern California Intelligence Centre (NCIC) provost agencies by collecting and analysing crime-related data to better deal with crime in the county. The results show the ability of AI to assist the agencies effectively and serve citizens more effectively and quickly.
In this modern digital era, people require computer automation to help them thrive. Most businesses invest in technology as they recognise it as the true business driver.
Jennifer stresses that people should not be afraid that machines would replace them. Machines excel at large datasets, whereas humans excel at common sense. The machine can only supplement what humans can do, whereas humans can spend their time doing more meaningful things.
“When they think of AI, they think of robots,” Jennifer said, “but the fear of machines taking over doesn’t start with robots, it starts with the Industrial Revolution.”
Many people were concerned about their jobs being taken over by machines early on. However, technophobia has evolved. People have come to love machines after having a love-hate relationship with them.
Building Real-Time Smart Government with Data in Motion


According to Rully Moulany, Confluent’s Regional Sales Director for Southeast Asia, data motion is the key to citizen experience because it has reshaped thinking and approach. Whether in the data centre in the form of the cloud, user experience in the form of mobile, or decision making that typically comes from machine learning.
However, he suggests looking into each company’s data infrastructure. The average is out of date, with data ranging from the 1970s to the 1990s. There is still a lot of outdated data and infrastructure in 2022. As a result, Confluent is eager to alter this situation through data in motion and emphasises the significance of viewing data as a continuous stream of events.
In terms of data in motion, there are several best practices and government use cases. The first example is at UC San Diego, one of the top universities in the United States. The university is modernising its middleware to be event-driven, or in other words, real-time, and to serve all stakeholder ecosystems on campus, from lecturers to students.
The second example comes from DB, the operator of Germany’s national public transportation company, which can integrate traffic information with their public transportation schedule in real-time, allowing them to better serve public transportation passengers.
The third use case is Intel which used event streaming to detect cyber traps all over the world.
Other recent examples include the CDC in the United States which deploys using real-time led data integration and NASA which employs real-time fault detection on ships and sensors that should be included in their products.
Rully keeps using the term “real-time” because he wants, ” to introduce something new, simple; when we talk about systems and applications, it can’t be far from the database. Real-time data refers to a variety of datasets that continuously rotate.”
Most datasets make the fundamental assumption that data is at rest. He reminds the audience to focus on the events of the transaction rather than the transactions themselves. People usually browse at events before making purchases. And real-time data typically outnumbers transaction data.
Every organisation deals with two types of data. People, however, continue to focus on data at rest (static data), rather than data that moves when events occur. Many events are not recorded. Gartner’s 2018 prediction said that event-sourced data will require more than 80% of existing systems by 2020. However, in practice, few people use this.
Organisations’ data can be harnessed and used to benefit the organisation. Confluent gave birth to a new paradigm in data processing by discussing data directly from the source. Rethinking data as an unbounded stream that continues to flow is what gives rise to the term “data in motion.” This in-motion data capability is quick, so fast data outperforms slow data because it is in real-time.
Collected Data to Connected Data: The Foundation of Indonesia EMAS 2045


According to Reza Pahlevi, Neo4j’s Country Managing Director for Indonesia, the relationship of data is the key to the intelligence of data collection. Those connections will reveal the insight from which the information can be obtained.
Reminiscing about the early days of digitalisation, he recalls how people flocked to connect data, even though the data is classified as siloed data. Now people need a capable technology that can connect data quickly and make quick decisions.
Indonesia EMAS 2045 is a government initiative to develop the entire generation and evolve major sectors. One of them is to create an equitable and dominant economy for Indonesians.
Reza shared how Neo4j aided the Directorate General of Taxes’ goal of increasing and securing tax collection. The data obtained is quite large, and typically generated by expensive hardware. However, despite the high cost, it offers numerous advantages.
In terms of broadening the taxpayer base, only a small percentage of the Indonesian population pays taxes, both corporate and individual. If technology is properly implemented, it has the potential to become one of the world’s top five economies.
Neo4j has already shown sound results in two areas: increasing the number of taxpayers and improving compliance. They also accomplished this by combining multiple data sources, breaking into the critical business owner database, identifying stakeholder relationships and how they are involved and identifying each other’s material to assist the tax department.
Many businesses require technology, financial services, data recommendations, protection and so on. As a result, collaboration will be extremely important.
Reza concluded by reminding the audience that there are many unopened nodes in the network and relationships in the data that are currently scattered around the world. As a result, the data connection is what binds the opportunity to better conduct Indonesia EMAS 2045.
Data Analytics @ Cities and Transportation: Focus on the Implementation of Practical Ways to Unlock the Value of Data and Increase Efficiencies of Transportation


Yau Wai Yeong, Intel Corporation’s Segment Marketing Manager Smart Cities & Transportation Road Infrastructure, emphasised the importance of data in creating Smart Cities.
Smart Cities are cities built on data-backed decisions to optimise efficiency, streamline mobility and create more value for agencies and citizens. With booming populations and megacities, the need and demand for urban mobility have increased dramatically. As a result, public transportation and infrastructure must be improved to meet demand.
Many cities have benefited from smart roads. Data has been critical in enabling transportation, public safety, infrastructure, and sustainability to work together to create an efficient city and cater to urban mobility. Yau expounds on four data-driven regions in her case study: the United States, Asia Pacific, China and EMEA.
Both EMEA and the US excelled in traffic management, with the former developing computer vision tracking to monitor moving objects in Phoenix, Arizona. The amount of traffic reduced ranged from 20% to 43%.
The latter, on the other hand, integrates data from CCTV cameras and uses AI algorithms to optimise signals. In the Asia Pacific, EDGE services were giving birth to green energy monitoring, smart buildings, public transportation, maritime, and telco 5G use cases.
Finally, tolling and parking in China have been optimised with data streamlining toll collection, effectively reducing the time from 15 seconds to 2 seconds.
Intel can complete all cases in specific regions in three steps. First, they construct by leveraging Intel’s portfolio and technical capabilities. The second step is to launch activations to create new opportunities, and the final step is to scale by providing a great solution for establishing an ecosystem.
According to Yau, the “Internet of Things” connects everything and emphasises the importance of integrating communication and technology to get to the heart of AI. He reminds the audience that AI is critical to ensuring the aspects that can be measured. Intel’s implementation and portfolio, which highlights examples of deep learning acceleration, will deliver the results and what to improve.
Modernising Data Protection to Build a Resilient Organisation


Veeam’s Country Manager, Habisanti, explained how data has become the enabler of digital life and how every organisation on the planet must protect, manage, and mine its data to remain relevant. Even though the world is on a roll from the industrial revolution, data protection is still struggling to keep up with modern platforms.
“Your last line of defence is data protection,” According to Habisanti. “The right data is resilient data. It should be strong, tough, and elastic, with a modern data protection strategy. Data is a company’s most recent pulse or currency. To become a strong company, you must also have solid data. There is also elastic data, which has the characteristics of availability, agility (data is live and updated based on the most recent production), and authenticity (data that is correct and not tampered with).”
She explained that digitisation started accelerating in 2020, with organisations increasing their use of the cloud. Even now cloud usage is on the rise and many people are infatuated with it. However, ransomware is also on the rise. It is a real thing that will continue to exist. It wreaks havoc on many people’s backups.
As a result, the promise of modern data solutions and protection is divided into three categories: data resilience, trust and dexterity.
The modern data protection journey is to protect (resiliency), manage (trust), and unleash (dexterity). Veeam addresses this by encrypting immutable copies of data after automated backup to ensure that they are safe and cannot be tampered with. Veeam can protect a wide range of digital data types, including cloud, SaaS, apps, virtual, and physical data.
Veeam accomplishes this by making its solution simple, flexible, dependable and powerful. One solution for providing tough and robust data is to protect everything. Veeam measures and checks the issue processes the necessary measurements and secures and protects what needs to be done. It also releases data that can be used to analyse company growth and strategy, and the data can then be reused through dev/test and analytics.
Get Inspired Panel Discussion
The Indonesia OpenGov Leadership Forum featured two panel discussions based on each panellist’s experience in overcoming dataset problems.
Yudhistira Nugraha, Director of Jakarta Smart City; Daniel Oscar Baskoro, Chief Operating Officer at Indonesia’s Ministry of Health’s Digital Transformation Office; Agung Indrajit, Chief of Data at Indonesia’s Ministry of National Development Planning’s Satu Data Indonesia; and Steven Seow, Business Value Consultant for Asia at Splunk were the panellists.
Most panellists agreed that data in the public sector tends to be siloed and not completely clean. This prevents easy access and makes it difficult to intelligently utilise it.
Ideally, access should be simplified, secure and kept clean data to boost performance. This could be done by preparing an action plan to collect, store and share data be it for organisation-wide or nation-wide activity.
The second panel discussion – Adopting “Cloud-First” Strategy to Boost Digital Economy and Accelerate Digital Transformation – focused on cloud adoption.
The panel included Dr Anto Satriyo Nugroho, Head of Artificial Intelligence Research Center and Cybersecurity, National Research and Innovation Agency; Dr Setiadi Yazid, Head of Center for Cyber Security and Cryptography at the University of Indonesia; John Anis, President Director of PT Pertamina Internasional EP; and Reza Rudyanto Pramono, Chief Technology Officer at Indonesia’s Ministry of Health’s Digital Transformation Office
The most important takeaway from the discussion is that digitalisation will fail unless digital technology is used effectively and efficiently. While there are concerns about cloud security, cloud is needed to improve efficiency and is fundamental for digital transformation.
Service delivery and cost efficiency are only possible by utilising current cutting-edge tools. They allow people to plan and predict, respond rapidly, be more flexible and feel more secure than before.
Fireside Chat
Vishal’s role includes overseeing macroeconomic and technological trends as well as arriving at strategic technology decisions. He also oversees the ASEAN region to assist customers and partners in making the most of technology.
A key aspect in deploying digital solutions is having support for innovation efforts by providing enterprise and expert backing. Because open source can pool collective intelligence to create highly innovative software that fosters rapid innovation, the demand for experts is critical.
Another challenge is the changing perception of open source, which in reality offers the freedom and flexibility to choose whatever an organisation wants. Of course, the problem may be deciding what to use. The best way to overcome this is to select the right vendor and switch to one that supports your business.
Vishal emphasises that action needs to be taken to face Indonesia’s digital transformation. “Today, you will be forced to make the best of what you have and use.”
He recommends that Indonesia establish two key teams in each of its IT departments. It should include a development team and an operations teams (or operations stability). These teams can get the department moving quickly and safely.
Many people struggle to maintain and comprehend key teams. However, there are numerous tools available to assist in problem resolution. He likened the situation to how formula one racing. Every F1 car requires fuel and a fantastic track. The fantastic track is the infrastructure and the fuel is the data.
Vishal explained how Open Innovation can help to solve global problems like the pandemic. In the case of COVID-19 Mitigation, the system’s disaster prevention or protection was the business problem. Scalability and flexibility are essential for this action. It peaks when a disaster occurs and when cases spike. AI can be used to will run the machine algorithm in the headquarters to check the COVID-19 hotspots and health to ensure safety.
The Fireside Chat takeaway is that cloud-native is the key to quickly responding to people’s needs in the modern era, as the new architecture allows them to do so.
Closing Remarks
In concluding the session Mohit acknowledges that digital transformation in the modern era needs to be accomplished in stages.
Australia, on the other hand, was unaffected and they decided to reassemble the core team from the UK and change their strategy. Putting together a team and bringing them in could lead to failure. Bringing in two or three people makes no difference. Leaping forward, bringing extra data and additional insights, and elevating the case will make digital transformation adaptability go smoothly.
Delegates gained valuable insights through technology case studies, gamifications and indepth interaction with global experts and their peers. The forum was a timely session where delegates obtained vital knowledge and practical tips drive Indonesia’s digital ecosystem and achive the Indonesia EMAS 2045 vision.
Mohit assured delegates that OpenGov was always ready to empower and support agencies in the ASEAN region through its platforms, events, OpenGov Advisory Services, and wide network of international experts.


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Modern livestock development based on precision technology has become one of the options for continuously meeting household demands. Syahrul Yasin Limpo, Minister of Agriculture, advocated using the technology to improve the resilience of Indonesian cattle products.
“We have to support innovative animal husbandry techniques (and the breeders) to use KUR (people’s business credit) to meet capital demands,” Syahrul said at the kickoff of the National Technical Coordination Meeting in Jakarta.
According to SYL, the world’s cattle sector is currently in decline due to a lack of fodder because swept away by floods and extreme weather. He stressed the challenges were worldwide, with direct consequences for distribution routes and high inflation. However, he urged ministry workers to find a means to meet the meat demands of 270 million Indonesians as part of the ministry’s obligation.
Nasrullah, the Ministry of Agriculture’s Director General of Livestock and Animal Health, stated that the government had established a strategy to deal with the global food crisis. Increasing food production capacity for commodities such as cattle, buffalo, purebred chicken, free-range chicken, lamb/goat, duck, and pork is one of them. The Ministry of Agriculture continues to expand production capacity and increase exports of swiftlet nests, chickens, and chicken eggs to various Asian countries.
“Through the synergy of business players, we will create priority livestock commodities on a corporate basis, precision, and integrated with a livestock supply programme of 10 million heads through the development of goats/sheep, ducks, and chickens,” he explained.
Additionally, Syahrul encourages regional and central government cooperation and synergy to be reinforced to preserve existing output and strengthen the resilience of Indonesian cattle products. Particularly in terms of job division and work duties within each work unit. He proposes that each division’s tasks be clarified to decide the subsequent measures. Measurement is required to determine critical activities and control task efficacy.
The livestock industry has used technological advancement to modernise. In New Zealand, the government employed a new antibody testing robot to provide faster and more accurate tests for animal sickness. A 750kg high-throughput diagnostic robot worth NZ$ 580,000 (US$ 376,736.10) will improve testing reliability and precision throughout future biosecurity interventions.
The first-of-its-kind technology will aid in disease control among breeds since they will need to analyse 3,000 to 7,000 samples daily. By automating this process, farmers will profit from speedier outcomes while enhancing the well-being of the people and animals involved. The system, developed in Germany, can test up to 7,000 samples daily for antibodies to FMD and other exotic diseases.
The robot is self-sufficient and does not need constant supervision or interaction. This frees up animal health laboratory personnel for other tests and ensures stability during intense reaction periods. Even without human involvement, the robot can run experiments overnight. Delays in testing can have an economic impact because antibody testing is critical for preserving access and security of goods exports to New Zealand’s overseas markets. If an exotic disease outbreak occurs in New Zealand’s animals, automation will help the country to recover more quickly.
Meanwhile, agricultural sectors known as smart agriculture have been modernised by technology. It boosts output, addresses farm-related issues such as food demand, and makes farms more connected and intelligent. Precision farming, variable rate technologies, smart irrigation, and smart greenhouses are innovative agriculture applications that leverage the Internet of Things (IoT). The innovative farming method provides farmers with higher yields, higher-quality products, and the ability to cultivate crops regularly all year. The technology satisfies the market’s requirement for food efficiency and sufficiency.
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CSIRO, Australia’s national science agency, is helping small to medium-sized businesses in the mining and mining equipment, technology and services sectors by offering a free online course that provides expertise and support for research and development.
Innovate to Grow is a 10-week online programme offered by CSIRO that is designed to help eligible small to medium-sized businesses in the mining and mining equipment, technology and services sectors that are in the early stages of engaging in R&D or pursuing a new idea. It will be guided by experienced researchers and innovation experts who will help participants to examine their technical or business challenges, explore R&D opportunities, and develop actionable business and funding plans.
Upon completion of the Innovate to Grow programme, participants may be able to access facilitation support through CSIRO to connect with research expertise nationally and may also be eligible for dollar-matched R&D funding.
The SME Collaboration Manager for CSIRO stated that the programme is designed to assist small-medium businesses in understanding the process of engaging in R&D by providing them with information on how to access funding, mentoring and a highly connected network through research organizations and industry peers.
The Innovate to Grow programme targets Australian companies with less than 200 employees, and currently is offered at no cost to participants. In this way, it is hoped that some of the barriers that smaller enterprises face when they have an idea they would like to pursue can be removed.
Upon completion of the Innovate to Grow programme, participants will have received assistance in defining their goals, developing a business case for R&D with the help of a university or CSIRO, and preparing a funding proposal.
Participants will also benefit from the expansion of their professional networks through connection with their peers in the cohort, sector-specific mentors, and CSIRO which has the world’s largest mineral resources R&D capability.
One company that manages the Australian Premium Iron Joint Venture participated in the Innovate to Grow program in 2021. The Principal Scientist at the firm stated that the company participated in the Innovate to Grow program as a way to refresh their knowledge about engaging with research organisations, identifying available funding options and preparing for partnerships with organisations like CSIRO or universities.
The mining industry faces many challenges, and it requires multiple elements to come together to achieve success. CSIRO plays a vital role in supporting research and development goals for the industry, he said.
The global smart mining market is projected to grow from roughly US$9.3 billion in 2019 to about US$23.5 billion by 2027, at a CAGR of 16.3% during the forecast period 2020-2027.
Smart mining is a process that uses advanced technology, information and autonomy to improve safety, reduce operational costs, and increase productivity for mine sites. Companies in the mining industry are focusing on increasing productivity by implementing advanced software and solutions. It also includes the use of remote-controlled robotic equipment for mineral and metal extraction known as telerobotic mining, which reduces the risks for miners.
The COVID-19 pandemic has had a negative impact on the global smart mining market, primarily due to the disruption of international trade, prolonged lockdowns and restrictions in construction, mining, and maintenance activities worldwide.
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The Ministry of Youth Affairs and Sports has launched a mobile application for the Khelo India Youth Games 2022. The app gives participating athletes, coaches, support staff, parents of athletes, and officials from all states participating in the Games access to information about the competition, through a single platform. This is the first time that a dedicated application has been launched for the Khelo India Youth Games.
The App has a dedicated athlete login and supports the athlete right from the time of their registration into the games, through the entire course of the Games. The app gives the athlete a chance to check if their verified documents have been uploaded before the start of the Games. According to a government press release, this will ensure greater transparency for athletes in the registration process. The application is available both for Android and Apple phones and can be downloaded free of cost.
As the athlete registers for the games and arrives at the Games venues in Madhya Pradesh, they can check the status of the issuance of their sporting kits, the hotel where they will stay, transportation plan for athletes to and from the venue, as well as have important contact numbers where athletes can connect in case of an emergency. Further, to ensure that athletes have immediate responses to queries raised by them during the Games, a chatbot has also been created. For sports fans, the application gives access to match schedules, medal tally, addresses of Games venues, and the photo gallery.
The Khelo India Youth Games are held every year. They are national-level multidisciplinary grassroots games held in January or February for two categories: under-17 years school students and under-21 college students. This year, the Games will be held in Bhopal from 30 January to 11 February. The competition has been divided into twelve different verticals, including developing state-level Khelo India centres, talent identification and development, sports for women, and the promotion of sports amongst people with disabilities.
The government has launched several applications and online services to promote athletics. For instance, the National Anti-Doping Agency (NADA) launched the National Anti-Doping Agency app. It provides athletes with a one-stop solution for all anti-doping-related information. The app helps athletes understand anti-doping rules and regulations and provides a platform for athletes to report any potential anti-doping violations.
The Ministry of Youth Affairs and Sports launched the Fit India App to encourage people to adopt healthy and active lifestyles. The app provides offers a range of features such as fitness challenges, workout routines, health tips, and a record of daily physical activity. The app also provides users with a dashboard that helps them track their progress and set goals for themselves. Its age-appropriate fitness protocols, approved by the World Health Organisation (WHO), test the fitness level of the user. Based on the results of the fitness tests, the app gives users a fitness score that tells them how fit they are and then further suggests activities to improve their health and fitness level.
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Automated elections are cost-effective because they can accommodate up to 1,000 voters per clustered precinct instead of 500 voters per precinct in manual ballots, necessitating paying more workers. Therefore, Rep. Elpidio Barzaga Jr. of Cavite 4th District advised his colleagues in the House of Representatives to employ the Automated Elections System (AES) in the Barangay (village) and local council Sangguniang Kabataan (BSK) elections on October 30 this year.
In House Resolution 717, which he submitted on Wednesday, Barzaga asked the House Committee on Suffrage and Electoral Reforms to launch an investigation into the Electoral Reform Act. The viability and feasibility of executing automated BSK polls are discussed.
“It will not only result in faster outcomes and the announcement of victors, but it will also eliminate human involvement or error and confusion in the evaluation of ballots on an experimental basis on the BSK Elections in major barangays, ideally in Metro Manila,” he convinced.
There are 42,022 barangays in the country as of October 2022, each with one punong barangay (local official) and seven Sangguniang Barangay (village council) members, one SK chairperson and seven representatives.
There will be two polls for the BSK elections, one for ordinary voters aged 18 and above and another for SK electors aged 15 to 30. The lawmakers suggested repurposing and adjusting the existing Vote Counting Machines (VCMs) to accept two ballots from registered voters. Then, the devices can independently summarise the Barangay and SK elections’ scores.
The BSKE, scheduled for October this year, will use a manual election system in which voters will write the names of candidates on ballots. Historically, manual elections can encounter issues such as imprecise counting, perception, and appreciation of votes. The integration of votes in larger Barangays usually takes two to three days, as opposed to automated elections, which immediately transmit the results to the canvassing centre upon closing of the voting.
Barzaga stated that the Commission on Elections (Comelec) was praised for conducting the national and municipal polls on May 9, 2022, for having the fastest results and largest voter turnout since the Philippines adopted the AES in 2010, and that the public has accepted the outcomes of the elections. The 2022 national and municipal elections were attended by 55,290,821, or 84.10 per cent of the 67,745,526 registered voters.
The resolution also said that the Comelec owned the 97,000 reconditioned vote-counting machines (VCMs) it purchased in 2016 and leased more VCMs for the 2022 elections and that a portion of these machines will be used in the BSK Elections in the pilot barangays. Barzaga believes voters are well-versed in using AES since The Philippines have used the technology in the national and municipal elections in 2010, 2013, 2016, 2019, and 2022.
Meanwhile, the Commission on Elections (Comelec) has indicated that it is open to holding automated village votes. Comelec chairperson George Erwin Garcia noted that they would investigate the possibility of executing a pilot test of barangay and SK election automation in specific areas/precincts. He mentioned that Barzaga contacted him about the proposition earlier this week.
President Ferdinand R. Marcos Jr. signed Republic Act 11935 on October 10, 2022, rescheduling December 5, 2022, BSK elections to October 30, 2023, and holding other polls every three years after that. Meanwhile, earlier this month, OFW Party List Rep. Marissa Magsino suggested that the government should change the existing law to increase voting options to prevent voter disenfranchisement of about 1.83 million OFWs exercising their right to vote. The proposed legislation would enable Filipino personnel working abroad to vote via email, web-based portals, and other internet-based technologies.
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Researchers are exploring ways to improve artificial intelligence image identification accuracy on computer vision. Computer vision is an artificial intelligence topic that teaches computers to extract information from digital images. They employed an algorithm that takes the distorted image as input and outputs a clean image to the users.
The study focuses on images partially smudged or distorted due to the missing pixels. Another goal is to reduce the uncertainty estimations and inferences from the visual data acquired. The researchers then created computer algorithms to reveal the part of the signal that is marred or otherwise concealed.
“Models for doing so already exist, but quantifying the uncertainty is difficult. And you don’t want to make a mistake in a life-or-death situation,” Swami Sankaranarayanan, a postdoctoral researcher at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the study’s lead author, explained.
So far, they have been able to reconstruct images of simple objects, such as human faces or animals. However, they wish to expand their method into more required fields, such as medical imaging, where our “statistical assurance” may be precious. If the film, or radiograph, of a chest X-ray, is blurred, they intend to reconstruct the image as accurately as possible.
They attempted to rebuild the image while preserving vital information. In the instance of a chest X-ray, this could tell whether a patient has lung cancer or pneumonia. Sankaranarayanan and his associates have already begun collaborating with a radiologist to assess whether their method for diagnosing pneumonia could be beneficial in a clinical context.
Their work is also helpful in the realm of law enforcement. The image from a surveillance camera may be grainy, but law enforcement agents can improve it using their instruments. The tools he and his colleagues are building could aid in identifying a guilty individual and exonerating an innocent one.
As a result, obtaining a more excellent grasp of that uncertainty could benefit us in various ways. For one thing, it can help us learn more about what we don’t know. MIT engineers successfully established reliable estimates of uncertainty and displayed ambiguity in a form that the average person could understand.
In a new study, Sankaranarayanan and his co-authors — Anastasios Angelopoulos and Stephen Bates of the University of California at Berkeley; Yaniv Romano of the Israel Institute of Technology; and Phillip Isola, an associate professor of electrical engineering and computer science at MIT — addressed the issues.
When recovering a blurred image, questions are bound to occur. How much trust can one put in the correctness of the resulting image? And, as addressed in the December 2022 study, how should the ambiguity in that image be represented? The conventional method generates a “saliency map,” which assigns a probability value between 0 and 1 to each pixel to express the model’s confidence in its accuracy.
Their approach revolves around an image’s “semantic characteristics” – clusters of pixels that, combined, have meaning, such as a human face, a dog, or any other recognised entity. According to Sankaranarayanan, the goal is to “estimate uncertainty in a fashion that relates to groupings of pixels that humans can easily perceive.”
While the usual technique may produce a single image representing the “best guess” as to what the genuine picture should be, the ambiguity in that representation is typically difficult to perceive. Therefore, according to the new article, uncertainty should be conveyed meaningfully to people who are not experts in machine learning for application in the real world.
When recovering a blurred image, questions are likely to occur. How much assurance can someone have in the reliability of the resulting image? And, as discussed in the December 2022 paper, what is the best approach to convey uncertainty in that image? The conventional method is to generate a “saliency map,” which assigns a probability value — somewhere between 0 and 1 — to each pixel to represent the model’s certainty in its validity.
Their technique is centred on an image’s semantic characteristics – groups of pixels that, when combined, convey meaning, such as a human face, a dog, or any other recognised entity. According to Sankaranarayanan, the goal is to estimate uncertainty in a fashion that connects to the groups of pixels that humans can easily perceive.
Whereas the usual technique may produce a single image representing the best guess as to what the genuine picture should be, the ambiguity in that representation is typically difficult to perceive. According to the new article, to be helpful in the real world, uncertainty needs to be communicated in a meaningful way to individuals who are not experts in machine learning.
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The Ministry of DES has recommended farmers employ more drones for a new Thailand smart farm project in Pathum Thani Province’s Pin Fah Farm region. Pinfah Farm is an intelligent farm model in Pathum Thani Province designated for agricultural eco-tourism.
Pinfah Farm employs drones to spray medications, fertiliser, and various chemicals in farmlands to reduce money and improve farmer health. Chaiwut Thanakmanusorn, Minister of Digital Economy and Society, paid a visit to the new farm and provided financial assistance.
The government allows farmers to pay half of their needs under the “half of each person” programme. The remainder of the fund will be used to assist individuals in purchasing at a reduced price to develop modern agriculture more efficiently. The financial assistance is provided in collaboration with community enterprises or farmer organisations to create a smart farm using digital agriculture technology.
Smart agriculture is a cutting-edge idea that is gaining traction around the world. It boosts output, addresses farm-related issues such as food demand, and makes farms more networked and intelligent. Precision farming, variable rate technologies, smart irrigation, and smart greenhouses are smart agriculture systems that leverage the Internet of Things (IoT).
Thailand Prime Minister General Prayut Chan-o-cha recently visited the development of the “Digital Agriculture” pilot project at Pha Mi Training Centre in Chiang Rai Province. To expand digitalisation in agriculture, smart agriculture also employed the Government Central Cloud System (GDCC) platform and 5G network.
The Pha Mi Training Centre is an education, research, and development institution for high-value commodities, including vanilla and orchid, which are among the world’s top five most lucrative products. The centre will also increase farmers’ awareness of the region and provide long-term job options. Finally, the initiative attempts to boost farm revenue and eliminate farmer poverty.
The creation of the Cloud GDCC system facilitates the integration of IoT Smart farm technologies and Big Data storage in Thailand’s agriculture sector. The cloud system is designed to support the future growth of Thai farmers and other experimental plants.
Aquaculture sectors are also included in the agricultural digitalisation initiative. The Thai government was undertaking Aquaculture 4.0 to secure the long-term growth of this essential industry and increase farmers’ sustainable farming capabilities. The Aqua-IoT is an Internet of Things-based monitoring system for water’s physical, chemical, and biological properties.
They combined critical data – physical, chemical, and biological water characteristics and weather – into a single interface that enables users to comprehend the link between the data, analyse it, and make informed decisions.
Nonetheless, the Philippines has made a comparable effort. The Department of Agriculture-Bureau of Agricultural and Fisheries Engineering (DA-BAFE) visited the nation’s first established innovative greenhouse project to enhance the widespread application of smart agriculture.
The smart greenhouse is a significant advancement in precision farming. It employs sensor technologies to generate a microclimate that allows plants to develop consistently. An intelligent greenhouse modifies the environment autonomously to help plants grow to their full potential. This innovative farming method provides farmers with higher yields, higher-quality products, and the ability to cultivate crops regularly all year. This satisfies the market’s requirement for food efficiency and sufficiency.
While in Indonesia, Minister of Agriculture Syahrul Yasin Limpo urged the adoption of precision technology to boost the resilience of Indonesian cattle products and to meet domestic demands constantly. It is believed that the technology will increase the food production rate for commodities such as cattle, buffalo, purebred chicken, free-range chicken, lamb/goat, duck, and pork.
Syahrul advises strengthening regional and central government cooperation and synergy to conserve present output and increase the resilience of Indonesian cattle products. Job division and work obligations within each work unit. He suggests that the tasks of each division be specified to determine the next steps.
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All organisations that use alphanumeric Sender IDs to send SMS are now required to register with the Singapore SMS Sender ID Registry (SSIR) as part of the measures announced by the Infocomm Media Development Authority (IMDA) last October. This registration is intended to protect consumers from non-registered SMS that may be scams, a press statement has said.
Starting from 31 January, any non-registered SMS will be labelled as “Likely-SCAM”. This functions similarly to a spam filter or spam bin. Consumers might get non-registered SMS labelled as “Likely-SCAM” and are advised to exercise caution. If unsure, consumers are encouraged to check with family and friends. This will improve IMDA’s overall resilience against scams.
All organisations that use alphanumeric Sender IDs must register early with the SSIR. This is to give adequate time as non-registered SMS Sender IDs after 31 January will be labelled as “Likely-SCAM”. Organisations that have not registered their Sender IDs are advised to do so, the statement said.
As of January 2023, over 1,200 organisations have already registered with SSIR, using more than 2,600 SMS Sender IDs. These include financial institutions, e-commerce operators, logistics providers, and SMEs that send SMS to their customers who have registered with the SSIR.
In recent months, IMDA reached out to organisations through aggregators and associations such as the Singapore Business Federation, Singapore International Chamber of Commerce, and Association of Banks in Singapore, to encourage them to register with the SSIR. The mandatory SSIR regime is part of a broader effort to protect against scams, which also includes working with telecom operators to reduce the number of scam calls and SMS coming through the communication networks.
Since the implementation of the SSIR in March 2022, there has been a significant decrease in scams reported through SMS, with a 64% reduction from the last quarter of 2021 to the second quarter of 2022. Additionally, scam cases perpetrated via SMS dropped from 10% in 2021 to 8% in Q2 2022, down from 10% in 2021.
To effectively combat scams, a collective effort from society is needed. Despite implementing various measures, scammers may adapt their methods and tactics. IMDA will continue to collaborate with other stakeholders in the fight against scams, but individual vigilance and awareness are crucial. Consumers should remain vigilant and share scam prevention tips with friends and loved ones, the statement said.
IMDA leads Singapore’s digital transformation with infocomm media. To do this, IMDA is working to develop a dynamic digital economy and a cohesive digital society, driven by an exceptional infocomm media (ICM) ecosystem. It fosters talent, strengthens business capabilities, and enhances Singapore’s ICM infrastructure. IMDA also regulates the telecommunications and media sectors to safeguard consumer interests while fostering a pro-business environment and enhances Singapore’s data protection regime through the Personal Data Protection Commission.
Scams and unwanted commercial electronic messages and calls are an international problem with scammers continuing to prey on unsuspecting parties. Last year, IMDA and Australian Communications and Media Authority (ACMA) signed a Memorandum of Understanding to boost cooperation and fight scams and spam. The agreement covers cooperation in information sharing and assistance in investigations relating to scam and spam calls and short message services. The two sides also agreed to mutual exchanges of knowledge and expertise and collaboration on technical and commercially viable solutions in relation to scam and spam communications.