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Cloudera, piXlogic, and Intel have partnered to make advanced image and video analytics available to big data customers. The piXlogic software provides a scalable set of “extra eyes” that can automatically go through images and videos stored in Hadoop clusters and generate metadata describing their contents.
This enables search, content discovery, alerting, and integration with other analytical tools in the Cloudera stack.
The Cloudera platform simplifies the management of distributed computing resources, such that piXserve can carry out its calculations where the data is stored.
The level of analysis that piXserve carries out is very extensive and computationally expensive. Intel technologies are key to keeping computing costs low. This involves using both chips and accelerators with advanced extensions so that as much of the computations as possible are run on the bare metal for maximum performance.
In summary, the solution comprises three components integrated and working together. The combination of the three creates a unique and compelling solution for law enforcement customers. These elements and the type of use cases that they enable are discussed in this whitepaper.


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A developer of robotic applications and systems based in Hong Kong has announced the release of ARCS, a Robotic Control System developed in-house and powered by cloud technology from a multinational technology corporation based in the United States.
The company is a member of Hong Kong Science and Technology Park Corporation’s Leading Enterprises Acceleration Programme (LEAP) and has received full support from HKSTP. This has enabled them to establish their office and a state-of-the-art automated warehouse, called the RobEX Centre, within the campus.
In recent years, work automation has become increasingly popular. The widespread use of robots in our daily lives has made it possible to free up human labour through highly efficient execution abilities. However, there has been a lack of agnostic platforms to coordinate and control robots of different brands, functions, and systems, which has prevented our robots from creating synergy in the most efficient way possible.
Furthermore, there is an urgent need for society to proactively explore alternative approaches to maximising the potential of robots, especially with intensifying community issues such as an ageing population and declining birth rates, which further widen the local workforce gap. This could greatly elevate our quality of life, particularly for those with lower self-care ability, such as the elderly and the sick.
Moreover, with environmental, social, and governance (ESG) subjects becoming more prominent, organisations are increasing their investments in sustainability and environmental research to find solutions that can boost energy efficiency through robotic technologies.
The HKSTP company is dedicated to developing a range of robotic solutions that address specific challenges, with the ultimate aim of integrating these technologies into daily life and supporting various sectors such as healthcare, smart city, logistics, and education.
With a vision to transform Hong Kong into a smart city, the company developed ARCS. Today, ARCS has been implemented in the fields of rehabilitation and healthcare, offering more autonomous and sophisticated care services, while also alleviating the workload of healthcare professionals through the assistance of smart technologies.
ARCS offers more than just improved efficiency and cost savings for enterprises and organisations. Its distinctive feature of centralised management streamlines the process of data management and analysis, resolving the isolation deadlock of different types of robots.
In the near future, ARCS will integrate artificial intelligence to cater to different scenarios, create the most suitable application plans, and provide tailor-made suggestions derived from the analysis of environmental data collected by robots. This will take the sustainability performance of corporations and organisations to the next level.
During the press conference, the company demonstrated a series of collaborative tasks performed by robots managed by ARCS in three simulated scenes. The first scenario applies to the retail and catering industry: when a store receives an online order, ARCS immediately obtains data from elevators and turnstiles through the Internet of Things (IoT) and delivers the product to the customer using a managed robot.
The second scene is suitable for public places with heavier traffic, such as malls and hospitals. When a patrol robot detects a mass gathering, ARCS can coordinate and send the concierge robot with its camera open for a live stream. This helps users to have a better understanding of the incident with minimised reaction time, while simultaneously instructing the patrol robot to resume its original task.
The third scene is designed for people with disabilities in various public venues. ARCS remotely controls the wheelchair robot, allowing one or a group of robots to safely carry those in need to their destinations.
Additionally, the company showcased the use of ARCS to analyse centralised data, illustrating the system’s capability to streamline the data collection and analysis process, as well as its great potential to incorporate the use of business intelligence.
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My Health Record has powered the Australian Digital Health Agency’s initial consumer mobile application, known as “my health,” which was launched.
Due to a 292% rise in consumer interest in My Health Record during the previous financial year, the my health app provides Australians with a more convenient way to access crucial health information stored in My Health Record, securely and instantly from their mobile devices.
The app is designed with a user-friendly interface, making it easy for users to navigate and access important health information quickly and easily. The app provides direct visibility of key health information, such as allergies, medications, medical conditions, and test results, which are readily available whenever and wherever they are needed.
Users can take greater control of their health journey and be more involved in their everyday health management. By having access to their health information at their fingertips, users can monitor their health more closely, make informed decisions, and communicate more effectively with healthcare professionals.
The app is designed to be an easy-to-use digital health tool that promotes greater autonomy and participation in health management. Users can track their personal health goals, manage appointments, and set reminders for medications and tests. This feature helps users to stay on top of their health and adhere to treatment plans, resulting in better health outcomes.
From the home screen of the my health app, users can quickly:
- Access their medicines information history
- Check pathology results, including COVID-19 and respiratory test results
- View their vaccination history and upcoming immunisations for themselves and their authorised family members
- Keep track of their allergies and reactions information
- View their hospital discharge summaries
- Manage and keep track of their advance care planning documents
- Share their health documents with others
- View multiple health records, including records for children under 14 and any other records with authorised access.
The CEO of the Australian Digital Health Agency stated that enabling consumers to play an active role in their healthcare by providing them with easy access to reliable health information from birth to end-of-life care through quality apps and devices is one of the defining characteristics of a modern healthcare system.
It has been learned from the surge in the use of My Health Record that approximately 75% of interactions between the system and users occurred on mobile devices. As a result, the app was developed using a co-design approach with a focus on user needs. This approach has ensured that the app caters to the needs of all Australians and will continue to evolve over time to meet the changing needs of users.
The app will continue to grow and improve, with users being empowered to take an active role in their healthcare journey. By prioritising user-centred design and development, it is expected that the app will foster trust and confidence among Australians, leading them to participate actively in their healthcare management.
The consumer-facing app enhances accessibility to health information, providing a simplified way for users to store, see, and share documents. With information at their fingertips, users can take an active role in their health management, facilitating greater engagement and support throughout their wellness journey.
Research has found that almost two-thirds of Australians regularly use their mobile phones to manage, access, and share their health information. The release of a consumer-facing app is a direct response to consumer demand for health information access when and where they need it, making it not only a logical technical development but also an essential advancement.
To ensure the app offers the most user-friendly and accessible experience, a range of measures were undertaken by The Agency. This includes conducting interviews, surveys, accessibility and usability testing with a diverse group of users, including medical professionals and consumers of different ages, locations, cultural backgrounds, and varying levels of health complexity.
Robust data protection mechanisms have been implemented to secure consumer health information within my health, protecting against external interference. The app is fully integrated with end-to-end encryption on the My Health Record platform, ensuring maximum security for users. A seamless connection between the platform and the app is achieved by leveraging the new Health API Gateway.
As soon as new health data is available on My Health Record, it is automatically downloaded onto the app’s interface, providing users with up-to-date information at all times.
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Thailand has made significant progress in enhancing its governance systems for data protection in recent years. However, to guarantee that citizens are empowered to exercise their rights and simultaneously hold corporations accountable for their data practices, it is essential to increase public knowledge and education on data protection.
Process optimisation for data governance and management is a key component of Thailand’s digital transformation. In recent years, the nation has made enormous strides in the digital sphere, and the continued success of this transformation will rely on efficient data governance and management systems.
Effective data management is only one aspect of data governance. It also relies heavily on the development of terms and guidelines for data rights, obligations and principles. These are the basic tenets of sound governance that inspire confidence in the generation, collection, processing and use of data by corporations and governments.
To unlock the full potential of data, it is crucial to establish the necessary infrastructure, regulations and standards through collaboration between public sector organisations, non-governmental actors and other relevant stakeholders.
Institutions and stakeholders within the data governance ecosystem must possess the skills, resources and incentives to carry out their duties effectively and to maximise the value of their data.
Robust information and data governance is crucial to ensure that data is accurate, reliable, secure and accessible when needed. This is especially important in low- and middle-income countries where data literacy levels may be low, and the quality of data may be poor.
In any context, however, public trust is crucial in using any derived insights to spur civic change. Confidence can be gained by developing and implementing clear policies and regulations around data collection, storage, sharing and usage. Agencies must also respect privacy, provide transparency and ensure accountability around these processes.
The OpenGov Breakfast Insight on 16 March 2023 held at Amari Watergate Bangkok delivered current information on the right technologies, data governance policies, regulations and frameworks to drive the quality, accuracy and availability of insights for Thailand’s public sector organisations.
Opening Remarks



Kicking off the session, Mohit Sagar, CEO & Editor-in-Chief, OpenGov Asia acknowledges that with the proper data governance, an organisation can rest assured that its data is being managed effectively and used in accordance with all regulations and standards.
“The effective management of data ensures its consistency and reliability and prevents misuse. This is becoming increasingly crucial for businesses, as they are subject to new data privacy regulations and rely heavily on data analytics to enhance efficiency and make informed strategic decisions,” he believes.
Good data governance enables improved access to information and better decision-making by both government officials and the public. This is achieved through the transparent, responsible and secure management of data.
“If government agencies are going to work together effectively, they need data governance policies that will make sure their information is shared in a way that is secure, appropriate and legal,” Mohit asserts.
Data governance is the systematic process of managing the availability, usability, integrity and security of data in enterprise systems, based on internal data standards and usage policies in line with government regulations. The process ensures that data is reliable, consistent and not abused.
“As organisations content with new data privacy regulations and rely on data analytics to optimise operations and drive business decisions, robust data strategy with sound governance is crucial,” Mohit says. “Using a collaborative process, this assists in dismantling data silos and harmonising data from various systems.”
Effective oversight is vital to ensuring the proper use of data and preventing the potential misuse of sensitive information, like customer data. Effective data governance enhances business decision-making by supplying better information, resulting in competitive advantages, increased revenue, and increased profits.
Self-service data solutions reduce reliance on IT staff and promote quicker and more informed decision-making across the entire organisation by allowing non-technical users to freely access, modify and analyse data.
To implement data governance, organisations must establish rules, processes and standards for managing data. This includes defining roles and responsibilities, ensuring data quality and addressing privacy and security concerns.
Data governance and cybersecurity are closely related as cybersecurity plays a crucial role in protecting sensitive information from unauthorised access. It helps to maintain data privacy and confidentiality while reducing the risk of cyberattacks or data breaches that could potentially compromise the functioning of government systems and erode the trust of citizens. Therefore, cybersecurity is an essential component of data governance.
In the end, implementing data governance can have several benefits, including improving the speed, agility and precision of decision-making while maintaining privacy and security. Moreover, it can also assist organisations in maximising the value of their data assets.
Welcome Address


Pawasut Seewirot, Software Country Leader at IBM Thailand, delivered a welcome address to the attendees where she acknowledged their crucial role in promoting an understanding of data governance concepts, such as privacy and security.
The field of intelligent automation mainly comprises advanced technologies, including artificial intelligence, business process management, and robotic process automation. It leverages cutting-edge tools such as analytics, machine learning, deep learning, and natural language processing to accomplish its objectives.
“Combining these technologies has enabled intelligent automation to produce some of the most cutting-edge solutions utilised by contemporary business leaders,” Pawasut observes.
Digital transformation, however, can often come at a high cost. The proliferation of vendors can create a bottleneck for IT staff, with disparate vendors, tools, and processes required to obtain support for expanding data centres.
The IBM Technology Support Services (TSS) help businesses and CIOs solve these issues. As organisations rapidly undergo digital transformation and change, utilising global technology lifecycle support and services for IBM Systems products will benefit the organisations.
“Our organisation provides global technology lifecycle support and services. As a world-class provider, we are committed to providing an outstanding client experience, as evidenced by our Net Promoter Scores,” Pawasut claims.
As organisations continue to rely more heavily on digital technology to gain a competitive edge, safety becomes a growing concern. A strong cybersecurity strategy includes multiple layers of defence to combat cybercrime, such as cyber-attacks that attempt to access, change, or destroy data, extort money from users or the organisation, or disrupt normal business operations.
Security system complexity can increase costs due to contrasting technologies and a lack of in-house expertise. However, organisations can effectively combat cyber threats and reduce the lifecycle and impact of breaches by implementing a comprehensive cybersecurity strategy that adheres to best practices and is automated using advanced analytics, artificial intelligence, and machine learning.
Pawasut stresses the importance of a data platform which is a set of technologies that function collectively to meet an organisation’s end-to-end data needs. It allows organisations to acquire, store, prepare, deliver and govern their data, as well as provide a security layer for users and applications.
“A data platform is essential for maximising the value of your data,” says Pawasut. “A modern data platform attempts to solve numerous problems. It is a collection of interoperable, scalable, and replaceable technologies that work together to meet the complete data requirements of an enterprise while ensuring its security.”
Technology Insight




While the world has been disrupted by various events, Kieran Hagan, Data, AI, and Automation Principle Technical Sales Manager (ASEANZK), IBM recognises that digital transformation remains a significant driving force for change.
“The pandemic has hastened the adoption of digital solutions to keep up with the ever-changing requirements of their customers,” Kieran observes.
As technology advances and consumers rely more heavily on digital channels, the trend toward digital transformation is expected to continue, creating a greater need for easily accessible and understandable data. As a result, there is a greater demand for consumable data – information that is easily accessible and understandable – from which people can make informed decisions.
To improve service delivery, Kieran emphasises the importance of engaging citizens and providing them with personalised, integrated experiences across government services. This is essential for any government seeking to improve citizens’ trust, satisfaction, and overall experience by making it easier for them to access and benefit from the services they require.
Sonoma County is an excellent example of a government that prioritised strengthening its safety net and reformed its approach to meeting the needs of its most vulnerable individuals and families.
Kieran emphasised the need to digitally modernise workflows and operations, maintain regulatory compliance and foster innovation while reducing costs. DataOps is emerging as the optimal strategy for managing data to enhance the agility and effectiveness of organisations.
DataOps, like its predecessor DevOps, emphasises software development collaboration, automation, and continuous delivery. It also aims to eliminate the silos between teams involved in data management, such as data engineers, data scientists, and business analysts.
According to Kieran, the advent of DataOps represents a significant shift in the way that organisations manage and leverage data and by adopting a more agile and collaborative approach to data management, organisations can make better use of their data, respond more quickly to changing business needs, and gain a competitive advantage in their respective markets.
Kieran cited the efforts of the Government of Odisha (India), which worked to combat welfare fraud and ensure that the most vulnerable members of the population received the necessary assistance.
The government of Odisha (India) used IBM Analytics tools to combat welfare fraud, identifying approximately 500,000 false beneficiaries. The government was able to ensure that resources were delivered equitably and tax rupees were used more efficiently by leveraging available insights on citizens. This effort aided the government in providing appropriate assistance to those in need while also eradicating fraudulent activities that siphoned off valuable resources.
Securing and protecting people, the nation, and infrastructure while mitigating data collaboration risks across hybrid cloud environments is of the utmost importance in the current digital era. The proliferation of cloud computing and hybrid cloud environments, as well as the accompanying cyber security challenges, now necessitate that governments strike a balance between securing their data and infrastructure and ensuring that essential information is accessible to those who require it.
To mitigate risks associated with data collaboration in hybrid cloud environments, businesses should implement a comprehensive security strategy that combines technologies, processes, and policies. Hence, artificial intelligence (AI) is a valuable tool.
“Artificial intelligence is being incorporated into daily life, business, government, and other fields. IBM assists individuals and businesses in securely adopting AI,” Kieran shares. “Only by incorporating ethical standards into AI applications and processes can build a trustworthy system.”
A holistic approach with strong security measures, transparency, accountability, and secure technology design is highly recommended, according to Kieran. Thus, the effectiveness of the strategy is enhanced by a continuous drive for information and education.
Fireside Chat



Dr Supot Tiarawut, President & CEO, Digital Government Development Agency, Thailand, is of the opinion that organisations’ failure to implement effective data management and governance strategies hinders their ability to fully leverage their enterprise data.
Such strategies are necessary for laying a strong data foundation. Strong fundamental data can offer critical insights for a wide range of applications, including understanding public behaviour and making critical decisions.
Some countries have given particular attention to the strategic value of understanding and interpreting data as well as the unrealised economic potential of underutilised data.
“Establishing a data foundation has specific challenges, but if organisations fully understand these challenges, they will be able to overcome them and benefit from efficient master data management,” Dr Supot believes.
Data governance is the practice of understanding where the data is, how it is used, and whether it is adequately protected. Good data governance ensures the integrity and consistency of data.
Effective data governance creates a governed data foundation for insights, secures data privacy, and simplifies data management by establishing policies and regulatory compliance. Public sector staff must have the knowledge and skills to effectively and safely manage and use data.
“The lack of data literacy in government agencies emphasises the importance of effective data governance policies,” Dr Supot furthers.
Inconsistencies in various systems across an organisation may remain unresolved in the absence of effective data governance. Using data governance best practices allows organisations to maximise their data while avoiding operational or analytic issues caused by data disparity.
“We should have a good definition of what data governance is,” says Dr Supot. “It encourages all government agencies to utilise their data and use it efficiently as well as integrate their data to make good decisions.”
In Thailand, there is a growing understanding that instead of solely mandating government agencies to implement data policies strictly according to established guidelines, it may be more effective to first align these policies with the agencies’ goals or purposes, and then provide them with specific steps that can help them get started.
The government in Thailand is planning to ask each agency to identify the type of data they are utilising, and once they have this information, they will inquire about the data’s processing and how it will be protected. This approach will enable the government to better understand the data management practices of each agency and identify any potential issues that need to be addressed.
“As a result, we can ensure sufficient data security so that no information leaks occur,” Dr Supot is confident.
Standardising data definitions across an enterprise or agency is a common objective of data governance, but there may be other objectives and goals that depend on the specific focus of a data governance program.
To establish an effective data governance framework, it is important to develop principles that are appropriate for the specific environment in which the organisation operates. These principles should guide the overall approach to data governance and help ensure that data is managed in a way that is consistent, reliable, and aligned with the goals and objectives.
Collaboration between the government and the private sector is essential for effective data governance. Among the key principles of data governance are public integrity, transparency, accountability, auditability, and standardisation. By adhering to these principles, data is managed in a way that is consistent, trustworthy and compliant with relevant regulations and standards.
Closing Remarks
Pawasut stressed the growing need for skilled professionals in data management as businesses increasingly look to data for competitive advantage. She believes that by addressing the data management skills gap, organisations can help individuals advance in their careers and organisations realise the full potential of their data.
Changing an organisation’s innovation culture is a challenging and time-consuming endeavour that requires sustained efforts over time. Pawasut invited interested delegates to get in touch with them to arrange an innovation workshop.
These workshops are valuable because they help foster originality, teamwork, knowledge acquisition and participant involvement. They provide a platform to generate new ideas, solve complex problems and learn from the experiences, insights and perspectives of others.
Innovation workshops can also boost morale and commitment to the company’s success and can be a useful tool for organisations that want to foster innovation and maintain competitiveness in a dynamic market.
Mohit is convinced that the success of developments in data governance depends on the effectiveness of collaboration.
“Integral to ensuring that an organisation’s information management procedures and policies are effective, streamlined, and company-wide adopted is bringing together diverse stakeholders, each with their own distinct perspectives and skills.”
There is an opportunity for corporate IT departments to build trust around enterprise data stores, allowing employees to work with IT to improve data quality, governance and security. This transition may be challenging for some organisations as it may require changes in culture, processes and technology, but it is essential for organisations that want to maximise the value of their data assets.
“Ultimately, a digital partnership’s objective is to generate a competitive advantage. Businesses can leverage one another’s strengths to better serve customers and expand,” Mohit concludes.
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Di era digital, data telah muncul sebagai sumber daya strategis nasional yang vital dan memiliki peran yang semakin penting dalam pemerintahan. Namun, tantangan pengelolaan data terus bermunculan. Perbaikan pengelolaan dan manajemen data bisa meningkatkan kualitas data yang disediakan agar bisa digunakan untuk menakar risiko dalam pengambilan keputusan. Peningkatan kualitas data dilakukan untuk memastikan bahwa data yang tersedia akurat, andal, aman, dan dapat diakses saat dibutuhkan.
Saat ini, data menjadi senjata utama untuk memenangkan persaingan. Ketersediaan data yang berkualitas jadi kian penting. Organisasi perlu membuat dan menerapkan manajemen data yang terintegrasi. Untuk membuka potensi data seutuhnya, penting bagi organisasi untuk menetapkan infrastruktur, peraturan, dan standar yang diperlukan. Untuk memanfaatkan aset data tersebut, organisasi harus memprioritaskan pengoptimalan proses tata kelola dan manajemen data yang efektif.
Selain itu, sumber daya manusia yang mengelola data pun patut menjadi bahan perhitungan. Institusi dan pemangku kepentingan dalam ekosistem tata kelola data harus memiliki keterampilan, sumber daya, dan insentif yang tepat untuk menjalankan tugas mereka secara efektif dan memaksimalkan nilai data mereka.
Masalah keamanan menjadi persoalan lain yang mengganjal. Serangan siber dan pembobolan data menjadi ancaman signifikan bagi negara dan bisnis di seluruh dunia. Sebagai konsekuensi, baik sektor publik maupun swasta harus terus mencari berbagai cara efektif untuk mengatasi masalah keamanan yang semakin mendesak.
Data akan memberikan insight yang lebih baik jika terjadi integrasi data dari berbagai sumber. Tujuan utama integrasi data adalah untuk menghilangkan silo dan menyediakan akses untuk berbagi data dengan aman di dalam organisasi. Hal ini dicapai lewat kolaborasi untuk menyelaraskan data di berbagai sistem.
Perbaikan tata kelola dan sistem manajemen data ini bisa dilakukan Thailand melalui kolaborasi antara pemerintah, bisnis, dan pemangku kepentingan lain. OpenGov Breakfast Insight, pada 16 Maret 2023 di Amari Watergate Bangkok, menyampaikan informasi terkini tentang kebijakan, peraturan, dan kerangka kerja tata kelola data untuk mendorong peningkatan kualitas, akurasi, dan membuka wawasan pengelolaan data bagi pemerintahan Thailand.
Sambutan


Meski data dianggap sebagai tambang minyak baru, namun tata kelola data yang buruk membuat mereka enggan berbagi data itu dengan pihak lain. Imbasnya, data hanya menjadi tumpukan di penyimpanan tanpa manfaat maksimal.
Untuk itu, Mohit Sagar, CEO dan Pimpinan Redaksi OpenGov Asia, menekankan organisasi perlu memiliki kebijakan tata kelola data yang efektif untuk keberhasilan kolaborasi antar departemen di pemerintahan. Tata kelola ini diperlukan untuk memastikan bahwa data dibagikan dengan aman, benar, dan sesuai dengan undang-undang dan peraturan yang berlaku.
“Sudah sejak lama data dianggap sumber minyak baru. Tapi, apakah kita berbagi data? Banyak organisasi tidak berani membagikannya. Mereka menyembunyikannya, atau menahannya. Karena menurut mereka, data itu sangat berharga sehingga data tersebut tidak boleh dibagikan. Sebagian berkilah (belum berbagi data) lantaran belum memiliki tata kelola data yang baik,” papar Mohit.
Namun, data hanya bisa bermanfaat jika diolah. Bahkan, data bisa memberikan perspektif dan insight menarik dan solutif jika dikolaborasikan dengan data dari organisasi-organisasi yang berbeda. Tidak seperti minyak bumi yang sekali pakai akan habis, data bisa memberikan manfaat berulang kali. Pengguna bisa mendapat manfaat dan insight yang berbeda, tergantung dari cara pengolahan data.
Lantas, mengapa tata kelola data menjadi penting? Manajemen data yang efektif dapat menjadi fondasi untuk mendukung pemerintahan yang terbuka. Sebab, dengan integrasi data, pemerintah bisa memastikan bahwa data yang mereka miliki ditangani secara transparan, bertanggung jawab, dan aman. Sehingga, data-data itu bisa membangun pengambilan keputusan yang lebih baik oleh para pejabat pemerintah dan publik.
Tata kelola data yang baik membantu pengelola untuk mengetahui siapa pemilik dan pengakses data yang sah. Tata kelola ini juga membuat para pegawai non teknis untuk mengakses, mengubah, dan menganalisis data untuk membantu pekerjaan mereka Sehingga, mereka tidak perlu bergantung pada karyawan TI untuk mengolah data itu. Hal ini memberikan dampak baik pada pengambilan keputusan yang lebih cepat dan lebih terinformasi di seluruh lini organisasi.
Namun, keamanan data juga patut mendapat sorotan. Keamanan siber adalah komponen penting dalam tata kelola data. Sebab, hal itu bisa melindungi informasi sensitif dari akses yang tidak sah, memastikan privasi dan kerahasiaan data, serta mengurangi risiko serangan siber atau pelanggaran data. Jika hal ini lalai diawasi, maka akan membahayakan integritas operasi pemerintah dan kepercayaan warga terhadap pemerintah.
“Anda tidak dapat bersembunyi di balik kata keamanan atau privasi sebagai tameng untuk tidak memanfaatkan data yang Anda miliki. Pakai data yang Anda miliki untuk memberi wawasan dan perbaikan layanan,” tandas Mohit
Pembuka


Transformasi dan perubahan digital diadopsi dengan cepat oleh berbagai organisasi. Oleh karena itu, IBM membantu adopsi ini dengan berbagai dukungan dan layanan teknologi. Pawasut Seewirot, Software Country Leader IBM Thailand, menyebut perusahaannya memiliki banyak solusi untuk membantu klien mengelola dan mendapat manfaat terbaik dari data mereka, mulai dari software, AI, hingga automasi.
Pawasut menyebut IBM bisa membantu meningkatkan pemahaman tentang konsep tata kelola data yang baik, termasuk masalah privasi dan keamanan. Mereka juga menyediakan solusi pengelolaan data dengan automatisasi dan kecerdasan buatan.
“Platform data sangat penting untuk memaksimalkan nilai data Anda. Kami siap berdiskusi untuk memecahkan masalah Anda menggunakan teknik Design Thinking atau teknik lain,” kata Pawasut.
Gabungan dari beberapa teknologi ini telah memungkinkan IBM melakukan berbagai automatisasi. Solusi ini bisa digunakan oleh para pemimpin bisnis sembari tetap menjaga keamanan dan privasi data pengguna.
Untuk mengamankan data, IBM memiliki strategi keamanan siber berlapis untuk membentengi sistem dari kejahatan dunia maya. Peretasan sistem bisa mengganggu operasional bisnis imbas dari akses yang tidak sah, perubahan atau penghancuran data, hingga pemerasan (ransomware).
Sistem keamanan yang kompleks membuat biaya membangun keamanan sistem kian membengkak akibat perbedaan teknologi dan kurangnya keahlian dari internal organisasi. Untuk menekan biaya, organisasi dapat menerapkan strategi keamanan siber komprehensif yang memanfaatkan automasi, analitik canggih, kecerdasan buatan, dan pembelajaran mesin.
Insight Teknologi




Setelah pandemi COVID-19 melanda, permintaan data kian melonjak imbas maraknya sistem kerja dari rumah (work from home/ WFH). Usai pandemi, tetap ada keinginan untuk bisa mengakses data kapan saja dan di mana. Sehingga peningkatan Information on Demand akan tetap selalu ada.
“Dan ini adalah peluang besar, tetapi juga memberi tantangan baru setelah pandemi. Saya akan memberikan beberapa contoh penerapan hal ini di berbagai negara,” jelas Kieran Hagan, Manajer Utama Penjualan Teknis Data, AI, dan Automasi IBM.
Pertama, terkait dengan integrasi data. Pemerintah Sonoma County di Amerika Serikat (AS) telah merasakan dampak bagaimana integrasi data membantu mereka mengurangi jumlah warga yang terlantar akibat kebakaran hebat di kawasan itu. Kebakaran itu melalap habis 36 ribu are lahan dan menghanguskan seribu rumah. Banyak dari warga yang terlantar dan ditempatkan di tenda-tenda darurat. Namun, setelah dua pekan, tenda-tenda tersebut harus dibongkar dan sebagian orang tak memiliki tempat tinggal.
Akan tetapi, sistem informasi yang dimiliki oleh pemerintah AS berdiri sendiri-sendiri (silo). Pemerintah Sonoma County lantas berdiskusi dengan IBM untuk menghubungkan semua data itu, sehingga bisa diakses oleh warga dengan mudah.
IBM lalu membantu pemerintah dengan merancang strategi untuk mengintegrasikan 16 badan pemerintah lokal ke dalam satu situs yang kemudian dinamai Akses Aksi Kepedulian untuk Kemandirian (Accessing Coordinated Care to Enable Self Sufficiency/ ACCESS). “Situs ini melayani 91 ribu klien dan mengurangi jumlah warga terlantar sebanyak sembilan persen,” terang Kieran.
Kedua, terkait dengan kematangan data. Kematangan data berkaitan erat dengan DataOps. Fungsi DataOps mirip dengan DevOps namun dikhususkan dalam konteks manajemen data. Data memiliki aliran dan prosesnya sendiri, sehingga fungsi DataOps adalah mengatur alur data yang disimpan dalam jumlah besar. Jadi, DataOps hadir untuk membuat aliran informasi agar lebih mudah dikonsumsi oleh analis dan data scientist untuk diekstrak menjadi insight.
Dalam kasus ini, IBM membantu Bank ING. Bank yang berdiri secara global itu memiliki informasi yang terpisah (silo) dengan 14 ribu cabang yang tersebar di berbagai negara. Pada 2014, mereka berdiskusi dengan IBM untuk membuat semantic information layer agar semua cabang mereka bisa mengakses satu sumber informasi yang sama.
“Platform ini menjadi penggerak teknologi yang bagus, walaupun industri perbankan pada dasarnya terikat dengan berbagai peraturan dan hukum yang ketat. Mereka tetap bisa menjaga keamanan, sembari mendapat kebebasan akses data.”
Hal serupa terjadi pada pemerintah provinsi Odisha, India. Proses manual membuat mereka kesulitan untuk membayarkan paket bantuan sosial. Mereka bermasalah dengan penipuan (fraud), data yang tidak lengkap, dan mesti menyelia 45 juta dokumen, mulai dari SIM, arsip pajak, pensiun, hingga asuransi. Dengan automasi data, mereka berhasil mengurangi 60% pekerjaan penyelidikan secara manual dan menemukan 500.000 kasus kesalahan pembayaran ke orang yang tidak tepat sasaran.
Program ini dinilai sangat berhasil, sebab membuat pekerjaan pemerintah menjadi lebih efisien dan membuat program kesejahteraan lebih tepat sasaran. Selain itu, biaya yang dihemat lewat automasi membuat kelebihan pendanaan dapat dialihkan ke program lain.
“Ini adalah contoh di mana akses informasi dapat memberikan hasil dan meningkatkan penghematan,” tegas Kieran. “Perubahan yang bisa menghasilkan layanan masyarakat yang lebih baik, tetapi juga menciptakan program-program baru.”
Ketika berbicara soal pengelolaan data dengan kecerdasan buatan (artificial intelligence/ AI), Kieran salut dengan upaya pemerintah Thailand. Negara itu tengah gencar melakukan pembaruan kebijakan dan mendorong peningkatan sumber daya manusia di bidang AI.
Banyak organisasi tengah menggandrungi AI. Sebagai contoh, pada 2018, pengembangan AI hanya mendapat porsi 15% dari anggaran organisasi pada umumnya. Namun, saat ini dana pengembangan AI naik hingga 52% anggaran.
“Tetapi sebagian besar organisasi tidak dapat menggunakan AI kecuali hasil rekomendasinya terpercaya. Anda harus bisa menjelaskan bagaimana AI bisa mendapat jawaban itu. Ini adalah sebuah tantangan,” tegasnya.
Dalam kasus ini, IBM membantu sebuah agensi pemerintah di Eropa yang ingin melihat analitik media sosial dengan memanfaatkan teknologi open source untuk mengetahui perkembangan isu yang terjadi di media sosial dan siap siaga jika terjadi situasi darurat.
Kerja sama keduanya menunjukkan bahwa pengawasan dan pengolahan data dari berbagai sumber di media sosial dengan AI tetap bisa dilakukan tanpa melanggar privasi warga. Platform yang mereka buat tetap bisa mematuhi aturan privasi data GDPR (General Data Protection Regulation) Eropa yang ketat.
Fireside chat: Membangun data menjadi insight



Menurut Dr Supot Tiarawut, Presiden & CEO Badan Pengembangan Pemerintah Digital, terminologi data sebagai sumber minyak baru sudah muncul dalam 10 tahun terakhir. Namun, dalam praktiknya, hal ini masih sebatas slogan di atas kertas karena masih banyak pemerintah yang belum bisa mengoptimalkan penggunaan data yang mereka punya. Sehingga banyak proses administrasi yang masih dilakukan secara manual menggunakan kertas, terutama pada pemerintahan daerah.
“Mereka bahkan hanya akan memindai kertas itu dan diunggah ke dalam sistem untuk membuatnya menjadi digital. Jadi, saya pikir itu masalah yang cukup besar, karena kami tidak mendapatkan data yang benar-benar digital,” tuturnya.
Untuk melakukan tata kelola data, Supot menyebut tidak ada satu solusi yang tepat untuk semua. Maksudnya, solusi yang cocok untuk satu organisasi tidak bisa langsung disalin dan tempel ke organisasi lain. Tata kelola mesti disesuaikan dengan kebutuhan organisasi tersebut.
“Anda mesti punya definisi yang jelas mengapa perlu tata kelola data seperti apa yang ingin dibangun,” jelasnya.
Ia pun sepaham soal pentingnya kolaborasi data antar organisasi pemerintahan. Menurutnya, memiliki sumber data yang lebih kaya bisa membantu membuat kebijakan yang lebih komprehensif dan membuat keputusan yang lebih baik. Pertukaran data bisa memfasilitasi penyediaan layanan yang lebih baik ke masyarakat.
Untuk mendorong integrasi data, Supot membeberkan langkah yang sudah dilakukan pemerintah Thailand. Supot mendorong badan pemerintah di Thailand untuk menentukan tujuan-tujuan mereka, bukan dengan memberikan buku petunjuk saja. Pertama, pihaknya membuat kelompok kerja data teknis. Namun, kebanyakan organisasi itu tidak tahu data apa saja yang mereka miliki. Sehingga, Supot meminta mereka untuk membuat katalog data yang dikombinasikan dengan Open Data.
Penutup
Pada akhirnya, Pawasut mendorong peningkatan orang-orang yang memiliki keterampilan manajemen data agar organisasi bisa lebih kompetitif dengan data yang mereka punya. Namun, membina tenaga terampil membutuhkan waktu. Sehingga, jika perubahan manajemen data perlu dilakukan dalam waktu singkat, bantuan pihak ketiga seperti IBM bisa dimanfaatkan.
“Mengubah budaya organisasi adalah tugas yang sulit, memakan waktu, dan perlu usaha yang berkelanjutan. Jika Anda membutuhkan bantuan untuk melakukan workshop inovasi, kami siap membantu,” tuturnya.
Di sisi lain, Mohit menyatakan bahwa keberhasilan pengembangan tata kelola data bergantung pada efektivitas kolaborasi. Selain itu, diperlukan kepemimpinan yang kompeten agar inovasi organisasi bisa berjalan tepat dan agresif.
Menurutnya, sulit untuk mengubah kultur organisasi dengan teknologi jika pemimpin organisasi itu tidak memahami teknologi. Sehingga ia menghimbau untuk mempercepat inovasi dalam organisasi, di mana setiap individu dapat menjadi pembawa perubahan itu.
Sebagai penutup, Mohit kembali menekankan pentingnya kolaborasi. Sebab, tujuan kemitraan digital adalah agar bisnis dan organisasi bisa lebih kompetitif dan memanfaatkan kekuatan satu sama lain, agar bisa memberikan layanan yang lebih baik kepada pengguna dan masyarakat.
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A company under SmartSat’s Aurora Space Cluster has successfully launched its edge computing module to set a record for Big Data processing in orbit. Under a commercial agreement with NewSpace India Limited (NSIL), the commercial division of the Indian Space Research Organisation (ISRO), the device was launched onboard the JANUS-1 satellite of a provider of software platforms for the space industry from the Satish Dhawan Space Centre in India.
Pulsar, the edge computing module developed by the company, will function as a crucial sub-system of the JANUS-1 satellite. Using artificial intelligence and consuming minimal power, will enable the ultra-fast processing of space data.
During initial ground tests, the company successfully classified 1,250 images of Earth Observation data in just 10 seconds, using the device’s low-power mode. This mode is expected to facilitate round-the-clock computation, even on small nanosatellites, enabling faster processing times than current market solutions, which can take up to 10 minutes per day.
Pulsar has the ability to seamlessly switch between low-power and high-performance modes, resulting in a potential four-fold increase in processing speed over its low-power mode. At a size of just 95mm x 90mm x 25mm, the power/performance ratio of Pulsar is currently unparalleled among devices of its size.
The module provides the benefit of being highly adaptable to suit the requirements of various customers and New Space entrants, based on factors such as the host satellite, mission duration and orbit. This flexibility enables it to be both resilient and cost-effective.
Additionally, the module supports over 20 popular machine learning frameworks from a software standpoint, allowing users to develop algorithms for Pulsar in the same manner as they would on desktops and leveraging open-source software.
The company’s CEO expressed that building an advanced and space-grade AI technology in a short period of time (9 months) for the JANUS-1 mission was an incredible journey. This achievement provided a platform for AICRAFT to enter the space ecosystem and collaborate with a US-based space software platform provider through their Australian subsidiary, which is also a member of the SmartSat CRC’s Aurora Space Cluster initiative for start-ups. The partnership allowed them to combine their strengths and achieve their objectives.
The space software platforms provider achieved a world first by completely conceptualising, designing, and manufacturing a satellite using their proprietary software in a cloud-based environment. The development of the JANUS-1 satellite involved the collaboration of eight organisations from seven countries, all working together virtually through the provider’s cloud-based platform, which includes open APIs and core open-source components.
The signing of a Memorandum of Understanding (MoU) between the two parties occurred at the Australian Space Forum in Adelaide, South Australia in March 2022. JANUS-1, which includes the company’s Pulsar edge computing module – the only Australian payload in the mission – was developed and produced in just 10 months, from concept to launch readiness, resulting in a cost saving of 75% compared to similar satellite missions.
About SmartSat’s Aurora Space Cluster
SmartSat has created a new entity called the Aurora Space Cluster to serve as a representative for space start-ups, allowing them to participate collectively as a Core Partner. With its own Board of Directors, Aurora offers various advantages to its members, including mentorship from industry executives and support for start-up managers to gain board experience by sitting on the board of an incorporated entity. Additionally, Aurora members will have opportunities to join SmartSat’s Industry Advisory Boards and participate in and influence the organisation’s projects and activities.
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Indonesia is emphasising the digital economy as one of its three ASEAN 2023 priorities. The government’s goals of speeding up the transition to a digital economy and strengthening the digital infrastructure are reflected in this effort.
The dynamics of the digital economy provide insight into the progress of digital transformation. By 2022, Indonesia’s digital economy is expected to be worth USD 77 billion, making it the largest in Southeast Asia. This amount represents 40% of the ASEAN economic market share on the internet. The value of Indonesia’s digital economy is forecast to exceed USD 130 billion by 2025, adding urgency to the need for a digital transformation.
Airlangga Hartarto, Minister of the Economy Coordinator, stressed the need for enhanced cybersecurity capabilities to foster expansion in the digital sector. By 2024, cybercrime related to data leaks might cost the global economy up to US$5 trillion. Hence, measures should be taken to ensure the privacy and security of digital data.
“I’d like to extend an invitation to everyone here, especially the attendees of the summit, to work together in support of cyber resilience and data security to hasten digital transformation and increase national economic resilience. Let’s work together to make the digital space,” Airlangga suggested when introducing the 2023 DataSecureAI Web Summit in Jakarta’s Central District.
According to the Interpol Cyber Assessment (Report 2021), 2.7 million ransomware attacks were recorded in ASEAN nations between January and September of 2020. With 1.3 million instances, Indonesia as having one of the highest cases.
On October 17, 2022, the government took a significant step towards bolstering cyber security in the country by enacting Law Number 27 of 2022 About the Protection of Personal Data (UU PDP).
Airlangga disclosed that the government is still working on a structural reform plan to achieve economic development that benefits everyone. The passage of the Job Creation Law, the pace of digitisation, and the elimination of extreme poverty all continued as part of the ongoing structural reform efforts. The government also deregulated risk-based business licencing (OSS-RBA) in the hopes that it would become a game-changer in attracting new capital.
Additionally, the downstream development of green economy industries and the improvement of Investment Management Institutions geared towards the renewable energy sector become part of the efforts. Indonesia is working to speed up the transition to green technology by developing electric vehicles (EVs) to distribute downstream goods. This approach aims to ensure that the downstream industry always has access to raw materials by increasing investment in the entire value chain for electric vehicle batteries.
President Joko Widodo has stressed the significance of the digital economy, which he said accounts for 15.5% of the global GDP and serves as the key to the future of the global economy. The internet economy has also helped many formerly underserved areas join international supply chains.
Angela Tanoesoedibjo, Deputy Minister of Tourism and Creative Economy and Deputy Head of the Tourism and Creative Economy Agency have advocated for increasing the number and calibre of people working in the digital economy. “With a projected 20% CAGR between 2021 and 2025, Indonesia’s digital economy is poised to reach USD 146 billion in 2025. It is anticipated that by 2030, this number will have increased to $US 330 billion.”
She has called on people in the digital business to be well-versed in humanities and equipped with problem-solving skills. Those future technological growth benefits businesses and contributes to national progress and individual well-being.
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The management and governance of data are crucial components of an organisation’s operations, ensuring the accuracy, reliability, security and accessibility of information when required. However, with the exponential increase in data generation daily, data management and governance have become more challenging.
Eliminating organisational data silos, sharing data securely and ensuring interoperability are primary objectives of data governance. These objectives are achieved by harmonising data across various systems through a collaborative process, including stakeholders from multiple domains.
As organisations increasingly rely on a range of data sources and data analytics, robust safety and protection frameworks are being put in place. They need to optimise their data governance and management processes to ensure they access clean data and use their data assets safely, effectively, and efficiently in line with these standards.
As governments require compliance with such standards, data governance becomes even more of a priority. In this context, a sound data governance strategy ensures data consistency, reliability, and ethical usage.
In the digital era, data has emerged as a vital national strategic resource and is increasingly crucial in nation-building. However, every day, new data security challenges arise, with cyberattacks and data breaches posing significant threats to countries and businesses worldwide. Consequently, both the public and private sectors are working continuously to find effective ways of addressing these mounting security concerns.
To fully leverage their data assets, organisations must prioritise the optimisation of their data governance and management processes. This includes defining data governance policies and standards, establishing data quality metrics, implementing data governance tools, promoting a data-driven culture, and monitoring and measuring data governance performance. These steps ensure that their data is accurate, reliable, secure, and readily available whenever required.
The OpenGov Breakfast Insight on 14 March 2023 held at Shangri-La The Fort Manila delivered the most effective information and data governance policies, regulations, and frameworks to drive the quality, accuracy, and availability of insights for Philippine public sector organisations.
Opening Remarks



“Data is the new oil,” according to Mohit Sagar, CEO & Editor-in-Chief, OpenGov Asia. “It must be extracted, refined and processed like oil before it can be used.”
If handled appropriately, data possesses the ability to provide remarkable and practical insights, facilitating quick and precise decision-making, which in turn can lead to gaining a competitive edge.
“When data is handled and used correctly, it allows governments to be more effective and efficient in their work. Service delivery and citizen satisfaction reflect such effectiveness and efficiency,” Mohit opines.
Data effectiveness ensures that data is fit for purpose and provides valuable insights. On the other hand, data efficiency is concerned with optimising data processing and use to maximise its value while minimising the resources needed to work with it.
In essence, they are two sides of the same coin. Both the effectiveness and efficiency of data are crucial factors for organisations that rely on data to gain business insights for making informed decisions.
However, the growing volume of data automatically collected by systems introduces a new set of risks, responsibilities and challenges. This current surge in data flow and the prevalence of cybercrime highlights the need for a comprehensive governance framework. It is imperative to implement a rigorous approach to ensure that systems and technology have a solid foundation on which to operate.
The Philippines government enacted Republic Act 10173, or the Data Privacy Act, to establish a legal framework for safeguarding citizens’ data. This law serves as a cornerstone for establishing cybersecurity standards.
Building a well-planned and strengthened foundation enables organisations to fully utilize the benefits of integrated and automated systems. Such an environment creates a seamless platform that further enhances effective and efficient citizen service delivery. It promotes alignment, making interconnectivity, integration and collaboration seamless.
A governance framework has a significant impact on data security. Although collaboration among government agencies is desirable, it comes with increased risk, particularly when data is shared. Cybercriminals can exploit the weakest link at each point where two or more organisations connect.
Nevertheless, with the right planning, the deployment of robust cybersecurity systems and the right monitoring measures could be put in place and serve as a shield against such threats. Proper planning can help establish appropriate security policies, protocols, frameworks and tech solutions. This proactive approach can help prevent security breaches, minimise vulnerabilities, and ensure the protection of sensitive data.
Mohit feels, “One of the most common solutions employed is access control. Once access and permission protocols are set in the governance policies, people across agencies work faster.”
Through such safe collaboration among agencies, data can be more effectively managed, leading to greater accuracy, security and ethical and responsible use of data. Citizens are more likely to trust a government that operates this way, promoting better relationships between governments and citizens.
“Protecting citizens’ data increases the public’s confidence in the government. Public trust is a vital component of economic security and national well-being,” Mohit says.
In the end, the establishment of secure and reliable systems builds confidence, resulting in increased uptake of government services and the best possible citizen experience. By prioritising data governance and security, agencies can foster trust, promote collaboration and enhance service delivery, ultimately leading to better outcomes for citizens.
Welcome Address


In her welcome address, Aileen Judan Jiao, President and Country General Manager of IBM Philippines, welcomed participants and highlighted their role in promoting understanding of data governance concepts, including privacy and security.
“We remain dedicated to re-engaging with the government and our goal is to clarify concepts related to data governance, including privacy and security,” Aileen confirms.
IBM has had a presence in the Philippines for 87 years and has made significant contributions to the government sector by providing technological solutions and services that enhance the efficiency and effectiveness of government operations.
The company has provided technical solutions and services to enhance the efficiency and effectiveness of government operations in the Philippines. They have collaborated with various government agencies to deliver technical solutions and services in industries like healthcare, education and transportation.
Their contributions to the government sector in the Philippines are demonstrated through successful projects such as the Tax Administration System, Disaster Response System, National ID System, and Electronic Passport System. These technological solutions have modernised and streamlined government operations, improving citizen services and promoting national development objectives.
“We know that public-private sector partnerships have the potential to improve the delivery of public goods and services,” Aileen is convinced. “We remained committed to and capable of assisting the government in its digital transformation efforts.”
Technology Insight




Kieran Hagan, Data, AI and Automation Principle Technical Sales Manager (ASEANZK), IBM recognizes that while the world has been disrupted by various events, digital transformation remains a significant driving force for change.
This is especially true in how businesses engage with their customers, as the pandemic accelerated the need for digital solutions to meet the evolving needs of customers.
The trend towards digital transformation is expected to continue as technology advances and consumers rely more heavily on digital channels, leading to a greater need for easily accessible and understandable data.
As a result, there is now a greater need for consumable data – data that is easily accessible and understandable – on which people can make informed decisions.
Kieran emphasises the importance of engaging citizens and providing them with personalised, seamless experiences across government services to improve service delivery. This is crucial for any government looking to make it easier for citizens to access and benefit from the services they require and improve their citizens’ trust, satisfaction and overall experience.
Sonoma County is a great example of a government that prioritised strengthening its safety net and transformed how it addressed the needs of its most vulnerable individuals and families.
Kieran highlighted the need to digitally modernise workflows and operations and maintain regulatory compliance while cutting costs and fostering innovation. DataOps is emerging as the ideal approach to managing data to improve organisations’ agility and efficiency.
DataOps, like its precursor DevOps, emphasises collaboration, automation and continuous delivery in software development. It also seeks to break down the silos between teams involved in managing data, such as data engineers, data scientists, and business analysts.
“The advent of DataOps represents a significant shift in the way that organisations manage and leverage data,” Kieran points out. “By adopting a more agile and collaborative approach to data management, organisations can make better use of their data, respond more quickly to changing business needs, and gain a competitive advantage in their respective markets.”
An essential feature of DataOps is its emphasis on data quality. DataOps focuses on ensuring data accuracy, comprehensiveness, and consistency which are crucial for making sound business decisions. Automated testing and validation technologies are used to identify data quality issues before they affect company operations.
Another example provided by Kieran was the Government of Odisha (India), which sought to address the issue of welfare fraud and ensure that the most vulnerable members of the population received the necessary assistance.
The Government of Odisha (India) utilised IBM Analytics tools to crack down on welfare fraud and identified around 500,000 false beneficiaries. By leveraging the available insights on citizens, the government was able to ensure that resources were delivered equitably and tax rupees were employed more efficiently. This effort helped the government to provide the right assistance to those who need it most and eliminate fraudulent activities that siphoned off valuable resources.
In today’s digital age, securing and protecting people, the nation and infrastructure while mitigating data collaboration risks across hybrid cloud environments are of utmost importance. The rise of cloud computing and hybrid cloud environments and the accompanying cyber security challenges now require governments to balance the need to secure their data and infrastructure while ensuring that critical information is available to those who need it.
To mitigate data collaboration risks across hybrid cloud environments, organisations should implement a comprehensive security strategy that includes a combination of technologies, processes and policies. A potent tool is Artificial Intelligence (AI).
“AI is being integrated into daily life, business, government and other fields. IBM assists individuals and organisations in adopting AI safely. Only by incorporating ethical standards into AI applications and processes can we construct trustworthy systems,” Kieran believes.
A holistic approach with robust security measures, transparency, accountability, and secure technology design is highly recommended. The approach becomes more potent when combined with a continuous drive for information and education.
In Conversation With: Enhanced Data Governance that Empowers Stakeholders


Complex information sets are often the norm in today’s government data systems, necessitating the involvement and input of a wide range of stakeholders. The development of meaningful data necessary for efficient and effective decision-making requires extensive cooperation between numerous stakeholders from various government departments and sectors. Hence, the importance of data accessibility and sharing in realising the full cross-sector potential of all data types has grown in recent years.
Hector Melencio, Assistant Vice President and Head of Information Technology, Philippine Amusement and Gaming Corporation (PAGCOR) revealed that they have open communication and every employee is involved in the whole process.
“We have the training and a customer feedback monitoring system in place, and we welcome all suggestions and input from various employees to assist us in making the data protection process better and simpler for everyone,” Hector said.
During the discussion, it was noted that allowing employees to use their personal devices or computers for official work can lead to such situations, making it challenging for organisations to maintain data privacy and security.
Hector’s agency faces challenges in ensuring data privacy because employees use their personal email addresses, making it difficult to track and secure data. While he understands the convenience of using personal email addresses, he acknowledges the need to persuade employees to use company email addresses to prevent security breaches.
Danilo N. Javier, Chief, Information and Data Management, Department of Energy (DoE) shared that his agency promotes inclusive representation and engaged relevant stakeholders in the data ecosystem through its community engagements, data-sharing policy and an open source platform.


Danilo’s department has implemented a data-sharing policy to improve operational efficiency and increase the trustworthiness of its data ecosystem. This policy empowers and proactively engages all relevant stakeholders, including government agencies and private sector partners. The Department of Energy works with various organisations to ensure the energy needs of the Philippines are met securely and sustainably.
“The policy ensures that data is shared transparently and securely, while also respecting individuals’ privacy and encouraging researchers to share their findings with a broader scientific community,” Danilo explains.
Danilo confirmed that the Department of Energy has a strong commitment to securing data sharing, with a focus on ensuring that data is stored and shared securely through robust data infrastructure.
“We are planning to have a zero trust architecture to further enhance their security measures. Right now, we have standard security measures to protect data, encryption, access control and secure data storage.”
The aim is to ensure that their data ecosystem is trustworthy and reliable, and stakeholders can have confidence in the accuracy and confidentiality of the data being shared.
PAGCOR has similar data privacy and data sharing policies to DoE. To improve the system’s trustworthiness, the agency has data safety and privacy, data encryption, access controls, regular security audits and feedback from various stakeholders, Hector confirms. As an added security measure, they conduct numerous audits and risk assessments regularly.
PAGCOR’s main data storage strategy involves the use of hybrid systems. They combine old and new systems to ensure robust security with continuity. They have been involved in improvements over the past two years, and are in the process of procuring the ERP, HRIS, casino management system and different initiatives that would make them competitive and more secure.
Closing Remarks
In closing, Aileen emphasised two areas in data governance. First is the true value of data and second skills. As organisations seek to leverage data to gain insights, make informed decisions, and achieve strategic goals, there is a growing demand for skilled professionals in data management.
“By addressing the data management skills gap, organisations can help individuals advance in their careers and organisations realise the full potential of their data,” says Aileen. “Rectifying the mismatch requires a collaborative effort from individuals, organisations and communities. We are trying to do our part in terms of the skills problems.”
She encourages participants to approach them to avail themselves of their free data governance co-creation workshop for all organisations.
“Transforming the culture of an organisation is a challenging and prolonged undertaking that necessitates consistent endeavours over time,” says Mohit. “You cannot change the culture of your organisation overnight, but you can make one small change.”
Although it is impossible to instantly transform the culture of an organisation, making minor adjustments can result in substantial long-term outcomes. Even small modifications have the power to spark substantial transformations within a company’s culture and serve as positive catalysts for broader change.
“The success of data governance developments hinges on the power of collaboration. Uniting various stakeholders, each with unique insights and proficiencies, is integral to guaranteeing that organisations’ procedures and policies concerning their information management are productive, streamlined, and embraced throughout the company,” Mohit concludes.