- Like
- Digg
- Del
- Tumblr
- VKontakte
- Flattr
- Buffer
- Love This
- Odnoklassniki
- Meneame
- Blogger
- Amazon
- Yahoo Mail
- Gmail
- AOL
- Newsvine
- HackerNews
- Evernote
- MySpace
- Mail.ru
- Viadeo
- Line
- Comments
- Yummly
- SMS
- Viber
- Telegram
- Subscribe
- Skype
- Facebook Messenger
- Kakao
- LiveJournal
- Yammer
- Edgar
- Fintel
- Mix
- Instapaper
- Copy Link
Data is increasingly at the core of any business or organisation and is a critical raw material for intelligent analytics and the driving force behind digital transformation. Most organisations are dealing with massive amounts of data in various formats, types and across numerous systems. Their challenge is to turn that data into insights that are useful for complex decision making.
Graph technology is being seen as foundational to data management and analytics, empowering user collaboration and fostering data democratisation. With a vast amount of data, organisations need to bring a deeper layer to give them the competitive edge, insights, and knowledge. In the new normal, exploiting data and using it confidently for complex, intelligent decision-making is vital. Neo4j knowledge graphs can help as an insight for available data, enriched with semantics and revealing its complex interconnectedness.
OpenGov Asia had the opportunity to speak with Dr Maya Natarajan, Senior Director, Knowledge Graphs, Neo4j to gain her insights on how organisations should utilise knowledge graphs for complex decision-making.
Maya is responsible for the go-to-market strategy for knowledge graphs at Neo4j. She is passionate about bringing different technologies together to solve complex problems and is championing the use of knowledge graphs to bring context to various systems.
She has positioned technologies from Blockchain to Predictive & User-Based Analytics to Machine Learning to Deep Learning to Search to BPM and beyond in a myriad of industries including Life Sciences, Financial Services, Supply Chain, Manufacturing, etc at various small and large companies. Maya started her career in the biotechnology area where she was in R&D focusing on cardiovascular drugs, and she has five patents to her name.
Why Knowledge Graphs are Better than Traditional Data Tools
The obvious place to start would be why should organisations move from traditional data representation and tools to knowledge graphs for complex decision-making.
Data volumes are consistently increasing – from about 40-50 zettabytes in 2019 to around 60 zettabytes in 2020 and approximately 75 zettabytes in 2021. Maya explained that as data volumes grow, organisations need to find new ways to use the massive amount of information to drive business value. Traditional analytics are no longer suitable for complex business operations and analysis.
Traditional tools based on relational databases have existed for over 40 years and relational databases are one of the most popular query tools across businesses. Traditional analytics are suitable for transactional and straightforward data that fit easily into a relational database’s format of tables and columns.
On the other hand, graph technology focuses on the relationships between data and considers the relationship between data to be just as significant as the data itself. In OpenGov Asia’s article with Nik Vora, Vice President, Asia-Pacific, Neo4j explains that graph technology is important because it can extract the inherent value in the data itself. The purpose of the technology is to store information without restricting it to a pre-defined model.
Graph technology is the ‘most obvious approach’ to look at connections as the value of relationships itself is the underlying drive for this technology. Maya emphasises that relationships among data can be harnessed to find known and unknown patterns in data that are not identified or analysed through traditional means. What relationships bring to the table is they add dynamic context to data.
It is important, Maya says when talking about a knowledge graph, that it is defined first. A knowledge graph is an insight layer of interconnected data enriched with semantics. A knowledge graph gets richer as new data is added. Through a combination of data, graphs and semantics (meaning), organisations get a knowledge graph with deep and dynamic context.
Maya gave an example of the pharmaceutical industry to illustrate how knowledge graphs work. A pharmaceutical company will know how to get drugs in a particular therapeutic area to market – the domain knowledge that the particular pharmaceutical company has in this area is very specific and proprietary.
Knowledge graphs have three components: data, graph and semantics. Relationships are stored along with the data in a graph database, and they are important as they provide the first level of context to data. In a knowledge graph, the pharmaceutical company’s domain knowledge can be viewed as its semantics and is key as it adds a second layer of context to data. Deep dynamic context makes knowledge graphs the top choice of use for cases that require complex decision-making as context is the prerequisite to complex decisions.
Industries from supply chain to financial services to life sciences and beyond currently require complex decision-making. Hence, knowledge graphs have become the most popular choice for diverse cases.
Unique Benefits of Knowledge Graphs
Maya believes that knowledge graphs are immensely useful for organisations to solve their business challenges. Specifically, organisations should enhance their toolkit and adopt a Neo4j knowledge graph as it has two distinct benefits that other tools do not possess.
First, Maya reiterates, that semantics is one of the key components and advantages of knowledge graphs. Semantics are encoded alongside the data in the graph itself. This is how knowledge graphs drive intelligence into data and significantly enhance its value. Essentially, knowledge graphs increase the value of data through semantics by adding more context.
The second benefit is of knowledge graphs can make incumbent technologies better by providing better data management, better predictions and better innovations. Partly because knowledge graphs fuel machine learning and they can be adopted well to a variety of use cases.
How Neo4j Tailors Specific Solutions to Different Business Challenges
Knowledge graphs ease the complex process because they add or imbue intelligence to every stage of the data. However, each organisation has different business challenges and context – including its digital strategies, clients and outcomes. This begs the question: how does Neo4j tailor its solution to generate value for each organisation’s unique circumstances?
Maya explains that every organisation is identified by its domain knowledge. Knowledge graphs explicitly take domain information into account in the form of semantics. By utilising knowledge graphs, Neo4j tailors the solution for each organisation according to its domain knowledge.
She illustrates this point by sharing the example of a large global pharmaceutical company – one of Neo4j’s clients – who use knowledge graphs for analysing patient journeys. A patient journey is described as a patient experience throughout an entire episode of care, starting from the admission of the patients to their discharge.
The large global pharmaceutical company recognises that no two patient journeys are exactly the same, but they want to find places where they could improve the outcomes of patients. Complex diseases develop over years, so the company would like to intervene faster and earlier during the patients’ journey to improve outcomes. They feel they could do this by finding similarities between patients.
Using a combination of a Neo4j knowledge graph, graph algorithms and machine learning, this large pharmaceutical company identified journey archetypes and journey patterns and used those as influential touchpoints to intervene at the earliest moment in a patient journey to make the most impact. In this case, it is a knowledge graph that allowed them to customise this solution.
Below is the visualisation of a single patient and journey through their disease progression.
Every blue dot represents a medical claim, every red dot represents a diagnosis, and every green dot represents a prescription. When laying out this data from left to right, it became real; this data became humanised and patterns emerged. In this example, the green (prescription) dot is followed by another condition or diagnosis, after which the physician pivoted to a new prescription in response to the diagnosis that happened after the first prescription.
These kinds of patterns were exactly what this large pharmaceutical company was trying to understand within the patients, how physicians treated patients and whether their products would help these patients. In many cases, it would yield a better patient outcome. This individual visualisation became an anchoring point; it became a very different way to analyse data. The Neo4j knowledge graph helped facilitate these analyses rather rapidly.
Combining Knowledge Graphs and Artificial Intelligence
Maya agrees that the combination of knowledge graphs and Artificial Intelligence (AI) is a platform on steroids. Companies are increasingly using AI applications for decision-making. Due to a lack of contextual information, AI systems have not been able to achieve their full potential as reliable solutions for complex problems.
This is where knowledge graphs come in. They offer a logical way to capture data relationships and convey their meaning. Knowledge graphs embed intelligence into the data itself and offer AI the tools to make sense of it all – to be more explainable, accurate and repeatable. THE FUTURE OF AI: Machine Learning and Knowledge Graphs is suitable for forward-thinking organisations that are keenly aware of the power their data represents and who understand that its proper use empowers intelligent decision-making.
Recently, both knowledge graphs and AI have joined forces. The powerful combination of the two has spurred the interest in using both technologies. AI/machine learning benefits from knowledge graphs as knowledge graphs provide context in two different ways: First, knowledge graphs give data context by the addition of semantics. Second, relationships between data provide another level of context.
With knowledge graphs, data scientists get to more data in the form of relationships – by double-dipping on the data they already have and taking advantage of relationship data that they previously tossed out because it was too hard to process. Because it is built on graph technology, a knowledge graph captures relationships for analysis, so not only do data scientists have more data, but they also have more data variety.
“In Machine learning, the more data you have, the higher data quality is. The more data variety, the higher the accuracy,” Maya emphasises.
Versatile Use Case applications of Neo4j Knowledge Graphs
NASA uses Neo4j knowledge graphs to solve issues in future missions to space. While working on a mission to send Orion, a space shuttle, into space, they found that its uprighting system was not working correctly. Knowing that Apollo used a similar uprighting system to Orion, they were confident they could use the knowledge from the Apollo mission to correct this issue before Orion’s launch.
NASA deployed a knowledge graph to comb through millions of documents, reports, project data, lessons learned, scientific research, medical analysis, geospatial data and much more across departments. By using a Neo4j knowledge graph, they found a way to correct the uprighting system in Orion. Without the knowledge graph, the team would have spent years testing different designs. They saved two years of work and one million dollars of taxpayers’ money.
Standard Chartered Bank in Singapore utilises Neo4j knowledge graphs for risk management to proactively identify cybersecurity risks to protect the bank from cyber threats. As cyberattacks are on the rise, this is an important use case for the bank. Other financial services customers are also utilising knowledge graphs for the same reason.
These are very different projects that utilise Neo4j knowledge graphs. The beauty of knowledge graphs is that they lend themselves well to a range of areas across the data spectrum, from data management to data analytics. Hence, any organisation from various industries can adopt Neo4j knowledge graphs to derive actionable insights for complex-decision making.
- Like
- Digg
- Del
- Tumblr
- VKontakte
- Flattr
- Buffer
- Love This
- Odnoklassniki
- Meneame
- Blogger
- Amazon
- Yahoo Mail
- Gmail
- AOL
- Newsvine
- HackerNews
- Evernote
- MySpace
- Mail.ru
- Viadeo
- Line
- Comments
- Yummly
- SMS
- Viber
- Telegram
- Subscribe
- Skype
- Facebook Messenger
- Kakao
- LiveJournal
- Yammer
- Edgar
- Fintel
- Mix
- Instapaper
- Copy Link
OpenGov Asia has recognised GovTech for the public sector’s evolving digital use. The agency has streamlined government operations and broken new ground with its Virtual Intelligent Chat Assistant (VICA). The project is part of GovTech’s ongoing efforts to develop and deploy chatbots to fill gaps in government services and enhance the lives of citizens.
VICA is the most recent citizen assistant platform from GovTech, utilising Artificial Intelligence (AI) to create more efficient and beneficial chatbots for government agencies to manage and for end users. The ‘Ask Jamie’ Virtual Assistant will eventually be replaced by VICA.
The engine-neutral platform employs cutting-edge tech to enhance performance and precision. VICA utilises natural language processing engines, machine learning and AI to enhance virtual and phone interactions between Singapore government institutions and residents or businesses.
This platform not only learns and interprets conversations but also offers businesses the ability to design and train chatbots, features that Ask Jamie did not provide. The automated processes provided by VICA make it easier for agencies to onboard and “train” their chatbots.
This accomplishment earned GovTech the prestigious OpenGov Asia Recognition of Excellence Award, which will be presented at the 8th Annual Singapore OpenGov Leadership Forum 2023.
Chatbot advancement to improve citizen experience
In addition to providing a simple FAQ, VICA improves transactional services in numerous other ways. Streamlining transactions provides greater convenience and access to government services and information, as well as quicker and more direct responses to user inquiries.
Taxi drivers and hawker stall owners, for instance, can use the IRAS chatbot to request assistance with tax filing. The Municipal Services Office’s OneService Chatbot, Kaki, which allows residents to easily report municipal issues via WhatsApp and Telegram, is also powered by VICA.
VICA-powered chatbots provide the public with timely updates, such as the Gov.sg chatbot, which provides COVID-19 updates and disseminates important government announcements in English, Chinese, Malay and Tamil.
Using NLP technology has allowed VICA-powered chatbots to better understand and interpret human language, particularly in the context of Singaporean English, thereby improving overall user experience. It is possible to create more structured conversational flows by defining intents, entities and context management – the building blocks that provide directions to chatbots and allow them to meet the needs of users.
VICA provides detailed analytics and insights into the performance of the chatbot as well as user conversations. With this information, the team can identify areas for improvement to enhance performance and accuracy.
Technology is constantly evolving, and the team is continuously on the lookout for and learning about new AI trends. Hence, VICA has been experimenting with a Generative AI programme that can understand written prompts and respond with helpful assistance in real-time since mid-2022.
VICA’s development involves the gradual integration of cutting-edge technology that meets the requirements of the entire government. These technological upgrades will include a unified chat frontend to ensure consistent branding across all government ministries and agencies – Singpass Integration, Live Chat Escalation, and support for various chat platforms like WhatsApp and Telegram.
As part of the closed beta programme with internal testers, the VICA team has been utilising these technologies to improve the quality and efficacy of the chatbots with citizens.
Developers also want to reduce the time and effort that their agency partners have to invest in training and maintaining their chatbots. While the team has always been receptive to new technologies, they take a measured approach, through progressive internal testing phases with the selected partner agencies before launching to the public.
The strategy is to determine how technological advancements can benefit not only the agency partners but also citizen users.
VICA intends to surpass FAQ-style chatbots with near-human conversation capabilities in the long run. It intends to combine services and transactional capabilities so that chatbots can assist users with their inquiries and complete transactions.
Given the potential risks and shortcomings associated with the development of intelligent development of platforms, it is vital to have an ethics framework in place. This will allow developers to plan for and be aware of the pitfalls and limitations of AI, which include:
- Accuracy: Models can give false responses that sound convincing
- Bias: Inherent biases may exist in the training dataset, which can be difficult to pre-empt due to the lack of information. This could then manifest in the model’s responses;
- Harmful content: To create a safe and healthy environment for users’ interaction with chat apps, chat moderation is important to monitor and regulate user input messages against inappropriate and offensive content;
- Data governance: When interacting with chatbots, users may inadvertently volunteer personal and confidential data through the chatbot’s prompts.
It is essential to encourage interactions with them and provide feedback to ensure that chatbots are performing as intended and to improve their overall performance.
Despite the functionality and enormous potential of generative AI, VICA has placed a high priority on governing its use to ensure that such technology is employed in an ethical manner benefitting both end users and society.
To mitigate the risk of unintended prejudices and ensure adherence to data governance rules, it is crucial to adopt an intentional strategy for the collection and transformation of raw data into useful and insightful outputs. Such a strategy can help ensure that the data is handled fairly and responsibly and that any potential risks are addressed pre-emptively or proactively. Moreover, this approach ensures that the resulting outputs are accurate, reliable and trustworthy.
About the team
The organisation recognises the importance of aligning team members towards a shared vision and objective, regardless of their diverse backgrounds. With a diverse team, each member can bring their unique perspectives and expertise to the table. Working collaboratively, the team can leverage these diverse perspectives to generate innovative problem-solving strategies.
The VICA team fosters an atmosphere of open communication and encourages feedback, creating a cooperative environment where team members feel heard and valued. This establishes a safe place where everyone feels comfortable sharing their thoughts and ideas.
They frequently organise team-building activities outside of work to foster camaraderie, build stronger relationships and create a more cohesive team dynamic. They believe this approach can lead to more innovative solutions and better decision-making.
Defining clear objectives and goals is crucial for the success of the VICA team. Every team member understands that they are working towards a common objective, providing a sense of purpose and direction.
Clear missions and defined tasks allow the team to stay on track and ensure that their efforts are moving the project forward in the right manner. This approach helps ensure that everyone is aligned and focused on achieving the same goals, which ultimately contributes to the success of the project.
The VICA team has implemented a robust project management framework that outlines the roles and responsibilities of team members at each project stage. They adhere to budget planning procedures to manage costs effectively. This framework helps ensure that everyone is clear on their responsibilities and contributes effectively to the project’s success within the specified budget.
The VICA team has adopted an agile approach that emphasises adaptability, speed and continuous quality improvement. The team uses retrospectives to evaluate what works well and what doesn’t, identifying opportunities for future improvement. This enables the team to quickly make adjustments and continuously improve the project’s quality, resulting in a more successful outcome.
- Like
- Digg
- Del
- Tumblr
- VKontakte
- Flattr
- Buffer
- Love This
- Odnoklassniki
- Meneame
- Blogger
- Amazon
- Yahoo Mail
- Gmail
- AOL
- Newsvine
- HackerNews
- Evernote
- MySpace
- Mail.ru
- Viadeo
- Line
- Comments
- Yummly
- SMS
- Viber
- Telegram
- Subscribe
- Skype
- Facebook Messenger
- Kakao
- LiveJournal
- Yammer
- Edgar
- Fintel
- Mix
- Instapaper
- Copy Link
Proyek VICA (Virtual Intelligence Chat Assistant) adalah platform layanan chatbot yang bisa digunakan sebagai dasar pengembangan berbagai layanan chatbot di berbagai instansi pemerintahan Singapura. Platform ini ditenagai dengan Kecerdasan Buatan (Artificial Intelligence/ AI) dan pembelajaran mesin (Machine Learning/ ML) agar chatbot yang dikembangkan oleh berbagai instansi pemerintahan bisa memberikan respons yang lebih ‘manusiawi’ kepada warga dan berbagai perusahaan di Singapura.
Layanan platform chatbot VICA dikembangkan oleh GovTech, yaitu Badan Teknologi Pemerintah (Government Technology) yang mendorong transformasi digital ke berbagai instansi pemerintah di Singapura. GovTech mengembangkan VICA sebagai perbaikan dari layanan chatbot sebelumnya; Ask Jamie.
Untuk membantu VICA memberikan jawaban yang lebih natural dan akurat, GovTech memanfaatkan teknologi NLP (natural language processing) terbaru dengan platform mesin-agnostik. Menerapkan kecerdasan buatan dan pembelajaran mesin membuat VICA mampu mempelajari dan menafsirkan percakapan dan meningkatkan interaksi ketika ‘diajak bicara’ secara virtual maupun lewat telepon. Sebagai sebuah platform, VICA juga digunakan oleh berbagai instansi pemerintah lain untuk melatih chatbot yang mereka kembangkan. Fitur ini sebelumnya tak ada di platform chatbot Ask Jamie.
VICA merupakan bagian dari upaya GovTech untuk membangun dan menggunakan chatbot guna menjembatani pemerintah dengan warga dan swasta. Kepiawaian dan inovasi GovTech ini mendapat atensi dari OpenGov Asia untuk mendapatkan penghargaan OpenGov Asia Recognition of Excellence Award yang akan diberikan pada Singapore OpenGov Leadership Forum 2023 tahunan ke-8.
Chatbot pintar
Dalam wawancara dengan CEO dan Pemimpin Redaksi OpenGov Asia, tim pengembang VICA menyebut mereka telah meningkatkan berbagai fitur untuk memperbaiki cara chatbot anyar ini dalam melayani pengguna. VICA bisa memberi jawaban lebih cepat dan sesuai konteks sehingga ia tak hanya menjawab pertanyaan berdasarkan jawaban yang sering ditanyakan atau sesuai template semata. Hal ini membuat pengguna merasa lebih nyaman ketika berinteraksi dengan VICA.
Sebagai sebuah platform, VICA juga digunakan untuk mengembangkan chatbot instansi pemerintah lain. Contohnya adalah chatbot IRAS yang digunakan wiraswasta seperti supir taksi atau pemilik kios jajanan untuk meminta bantuan dalam pengajuan pajak. Kaki, chatbot layanan terpadu dari Kantor Layanan Kota bisa yang akan menampung laporan dan keluhan warga soal masalah kota lewat WhatsApp dan Telegram.
Selain itu, platform chatbot VICA juga bisa memberikan informasi terbaru secara real-time kepada warga. Contohnya, chatbot Gov.sg yang memberikan pembaruan status COVID-19 dan pengumuman pemerintah dalam bahasa Inggris, Mandarin, Melayu, dan Tamil.
Agar interaksi dengan VICA lebih ramah pengguna, tim memanfaatkan teknologi NLP untuk bisa memahami dan menginterpretasikan bahasa manusia. Namun, bahasa utama yang paling baik diinterpretasikan VICA saat ini adalah bahasa Inggris Singapura.
“Dengan memahami maksud pertanyaan, siapa yang menanyakan, dan konteks pertanyaan, ini akan jadi bahan arahan bagi chatbot untuk memberikan jawaban yang memuaskan kebutuhan pengguna, sehingga alur percakapan bisa lebih terstruktur,” jelas tim VICA.
Agar performa VICA makin bagus, tim juga melengkapi platform ini dengan analisis data. Hasil analisis itu memberikan gambaran terperinci tentang kinerja chatbot serta bagaimana kinerjanya atas percakapan pengguna. Hal ini membuat tim VICA bisa mengidentifikasi hal yang bisa diperbaiki untuk meningkatkan akurasi VICA.
Ketika memanfaatkan AI, terdapat kekhawatiran masalah etika dari kecerdasan buatan yang digunakan. Sebab, pada beberapa kasus, AI kerap memberi jawaban yang menyesatkan atau tidak sesuai etika. Tim VICA menyadari hal dan sepakat kalau model AI bisa memberikan respons yang salah namun terdengar meyakinkan.
Jawaban yang keluar dari model AI juga bisa terkontaminasi oleh bias. Bias bawaan ini mungkin terjadi imbas dari kumpulan data yang digunakan untuk melatih model AI itu. Namun hal ini bisa jadi sulit dicegah karena kekurangan informasi yang dimasukkan dalam data latihan AI tersebut. Bias dan jawaban menyesatkan tadi kemudian nampak dalam respons AI atas pertanyaan pengguna.
Untuk menjaga pembicaraan yang sehat, model AI juga perlu menyaring konten yang ditanyakan pengguna. “Moderasi obrolan diperlukan untuk memantau dan menyaring pesan yang dimasukkan pengguna untuk mengatur respons AI terhadap konten yang tidak pantas dan menyinggung.”
Etika lain yang dipertimbangkan tim pengembang VICA adalah soal tata kelola data. Saat berinteraksi dengan chatbot, pengguna mungkin secara tidak sengaja memberikan data pribadi dan rahasia secara sukarela akibat perintah chatbot.
“Terlepas dari fungsi dan potensi AI generatif yang sangat besar, kami memastikan teknologi ini digunakan dengan cara yang etis dan menguntungkan pengguna dan masyarakat,” tegas tim VICA.
Untuk mengurangi berbagai risiko disinformasi, misinformasi, bias, dan masalah etis lain, tim memastikan efisiensi dan kegunaan tiap informasi yang dikumpulkan dan ditransformasi sebagai bahan data mentah pelatihan model AI yang mereka kembangkan. Hal ini juga dilakukan agar mereka mematuhi aturan tata kelola data yang berlaku. Selain itu, mereka pun senantiasa memeriksa umpan balik pengguna agar chatbot yang dikembangkan berfungsi semestinya.
Ketika ditanya soal pengembangan VICA ke depan, sejak pertengahan 2022, tim pengembang telah mulai bereksperimen dengan program AI Generatif. Program ini bisa memahami petunjuk tertulis dan merespons dengan bantuan yang bermanfaat secara real-time.
Dalam jangka Panjang, VICA akan terus disempurnakan dengan teknologi terkini yang paling sesuai dengan kebutuhan Whole-Of-Government. Mereka akan mengembangkan antarmuka obrolan terpadu sehingga branding pada chatbot pemerintah lebih seragam di semua kementerian dan lembaga. Selain itu, mereka juga berencana melakukan integrasi VICA dengan Singpass, memperbanyak fitur Live Chat, serta integrasi dengan platform chat seperti Whatsapp dan Telegram.
Selain itu, tim VICA juga telah menjajaki teknologi kemampuan percakapan tingkat lanjut seperti yang digunakan oleh ChatGPT. Mereka tengah menelisik teknologi ini dalam program beta tertutup dan tengah melakukan pengujian internal untuk meningkatkan kualitas dan kenyamanan pemakaian chatbot. Langkah selanjutnya adalah menerapkan cara yang dapat mempermudah para mitra GovTech ketika mengadopsi platform VICA ketika mereka ingin membuat chatbot sendiri. Dengan VICA, mereka bisa mempersingkat waktu dan mengurangi kerumitan dalam melatih serta memelihara chatbot mereka.
“Kemajuan teknologi apa pun harus bisa memberikan pelayanan yang lebih baik bagi mitra instansi dan warga, itu sudah menjadi DNA kami,” tegas tim VICA
Cita-cita jangka panjang lain adalah membuat chatbot VICA bisa digunakan sebagai media transaksi. Jadi, chatbot ini tak sekedar bisa menjawab pertanyaan saja, tapi juga bisa terintegrasi dengan operasional layanan pemerintah. “Kami juga selalu terbuka untuk teknologi baru dan siap melakukan kalibrasi melalui fase pengujian internal, sebelum meluncurkan layanan itu kepada warga.”
Membangun tim inovatif
Tim VICA lantas membeberkan sejumlah cara yang mereka lakukan untuk memastikan inovasi berkelanjutan dan keberhasilan program.
“Dengan menetapkan tujuan dan sasaran yang jelas, setiap anggota tim akan terbantu untuk memahami bahwa mereka memiliki tujuan bersama yang jelas, sehingga setiap orang memahami tugas dan tanggung jawab masing-masing.”
Di tahap awal, tim membangun kerangka kerja manajemen proyek. Kerangka ini membantu peran dan tanggung jawab anggota tim untuk pembagian beban kerja yang sehat di setiap tahap proyek. Kerangka ini juga berguna untuk penentuan perencanaan anggaran agar biaya bisa dikelola secara efektif. Tim juga menciptakan suasana yang terbuka terhadap berbagai umpan balik, sehingga setiap anggota tim bisa dengan bebas dan merasa aman dan didengar ketika mengajukan pendapat.
Untuk mengukur dan mengevaluasi keefektifan kerja, tim VICA mengadopsi metodologi Agile. Metode ini dianggap lebih fleksibel, cepat, dan bisa membantu tim untuk meningkatkan kualitas kerja mereka. Sementara dalam proses pengembangan produk, mereka mendapat manfaat dari metode Scrum dan Kanban. Sebagai bahan evaluasi, tim juga mengandalkan retrospektif untuk mempelajari kembali apa yang berhasil dan apa yang tidak. Bahan ini lantas digunakan untuk perbaikan produk di masa mendatang.
Ketika berinteraksi dengan tim yang berbeda latar belakang, tim VICA memulai proyek dengan membangun rasa saling percaya dan menyelaraskan visi dan tujuan bersama. Sehingga, tiap anggota bisa memiliki cara masing-masing untuk berkontribusi dengan caranya yang unik. Dengan menyatukan semua pendapat berbeda ini, mereka dapat menciptakan dan menemukan solusi inovatif untuk berbagai masalah.
Sementara untuk menjaga kebersamaan dan kolaborasi yang efektif dalam tim, mereka memperbanyak waktu bersama lewat sesi curah pendapat (brainstorming), proyek bersama, hingga kegiatan team bonding. Mereka pun mengembangkan budaya untuk menghargai kontribusi dan menghormati pendapat setiap anggota tim. Inisiatif ini menjamin tiap pendapat didengar serta memberikan lingkungan yang aman bagi tiap anggota untuk berbagi pandangan yang berbeda.
- Like
- Digg
- Del
- Tumblr
- VKontakte
- Flattr
- Buffer
- Love This
- Odnoklassniki
- Meneame
- Blogger
- Amazon
- Yahoo Mail
- Gmail
- AOL
- Newsvine
- HackerNews
- Evernote
- MySpace
- Mail.ru
- Viadeo
- Line
- Comments
- Yummly
- SMS
- Viber
- Telegram
- Subscribe
- Skype
- Facebook Messenger
- Kakao
- LiveJournal
- Yammer
- Edgar
- Fintel
- Mix
- Instapaper
- Copy Link
Singapore and Indonesia reaffirmed their strong and long-standing economic ties; and to explore opportunities in the development of Indonesia’s new capital city, Nusantara, both nations welcomed the Letters of Intent submitted by Singapore-based businesses from a variety of sectors, including construction, telecommunication and finance. This collaboration in renewable energy and the digital economy was expanded.
Singapore’s Senior Minister and Coordinating Minister for National Security Teo Chee Hean and Indonesia’s Coordinating Minister for Maritime Affairs and Investments Luhut Binsar Pandjaitan signed a Memorandum of Understanding (MOU) on Renewable Energy Cooperation.
Both countries will facilitate investments in the development of renewable energy manufacturing industries, such as solar photovoltaics (PV) and battery energy storage systems (BESS) in Indonesia, as well as cross-border electricity trading projects between Indonesia and Singapore, under the terms of the MOU.
Recognising the synergies shared by Singapore’s and Indonesia’s tech ecosystems, Singapore’s Minister for Trade and Industry Gan Kim Yong and Indonesia’s Coordinating Minister for Economic Affairs Airlangga Hartarto also signed the MOU on the Singapore-Indonesia Tech:X Programme.
The MOU will establish the Tech:X Programme, which enables young tech professionals from Singapore and Indonesia to work in each other’s countries, strengthens ties between the two nations’ tech ecosystems, and enables young tech professionals to pursue expanding opportunities in the digital economy.
“Through the Tech:X Program, we hope that young tech talent from both countries will be able to learn from one another, gain exposure, and expand the capabilities of both countries’ tech workforces,” Minister Gan says.
Ministers Gan and Airlangga also witnessed the signing of nine partnership documents between Singapore and Indonesia companies on 15 March 2023, in conjunction with the Leaders’ Retreat. In addition to health tech and ed-tech, the partnerships are in the digital economy.
The annual G2G platform, as well as the Singapore-Indonesia Six Bilateral Economic Working Groups (6WG), facilitate close economic collaboration between Singapore and Indonesia.
The 6WG platform addresses economic collaboration in the following areas: Batam, Bintan, Karimun, and other Special Economic Zones: Investments, Manpower, Agribusiness, Transportation, and Tourism.
Singapore and Indonesia have close commercial and investment ties. With bilateral trade totalling S$76.4 billion in 2022, Indonesia is Singapore’s sixth-largest trading partner. Since 2014, Singapore has been Indonesia’s top source of Foreign Direct Investment (FDI), with Singapore’s investments in Indonesia totalling US$17.5 billion by 2022.
OpenGov Asia earlier reported that Prime Minister Lee Hsien Loong and Indonesian President Joko Widodo recently met at the Singapore-Indonesia Leaders’ Retreat. This was the sixth Leaders’ Retreat for Prime Minister Lee and President Joko Widodo and the first to be held in Singapore since the COVID-19 pandemic.
During President Joko Widodo’s two terms in office, the relationship between the two countries had significantly improved, according to both leaders. This laid the groundwork for them to collaborate in new ways that are profound, multifaceted, forward-looking, and beneficial to both countries.
The ratification of all three agreements under the Expanded Framework was celebrated by the Leaders. These included the Agreement on the Realignment of the Boundary between the Jakarta Flight Information Region (FIR) and the Singapore FIR, the Extradition Treaty, and the Defense Cooperation Agreement.
The Leaders anticipated the next step of obtaining International Civil Aviation Organisation approval for the new arrangements under the FIR Agreement so that both countries could implement all three agreements at a mutually agreed upon date. The resolution of these enduring issues demonstrates the maturity and resilience of bilateral relations.
- Like
- Digg
- Del
- Tumblr
- VKontakte
- Flattr
- Buffer
- Love This
- Odnoklassniki
- Meneame
- Blogger
- Amazon
- Yahoo Mail
- Gmail
- AOL
- Newsvine
- HackerNews
- Evernote
- MySpace
- Mail.ru
- Viadeo
- Line
- Comments
- Yummly
- SMS
- Viber
- Telegram
- Subscribe
- Skype
- Facebook Messenger
- Kakao
- LiveJournal
- Yammer
- Edgar
- Fintel
- Mix
- Instapaper
- Copy Link
Within a year of its commencement, the innovative education model FORTE (Financing of Return to Employment) has shown excellent early outcomes for both local career seekers and employers as the first groups of South Australian students transition from training to employment.
The FORTE pilot programme, which commenced in May 2022, is supported by the Department for Industry, Innovation, and Science. It provides high-quality training at no cost, aimed at equipping 150 South Australians with the necessary digital skills to work in the state’s rapidly growing hi-tech sectors.
Under the FORTE model, local training providers such as Generation Australia, General Assembly, _nology, and 42 Adelaide deliver the training, which is initially funded by private investors. Running for a duration of three years, the pilot programme has shown encouraging early indicators. Over 40% of recent FORTE graduates have already secured jobs at various tech companies.
The remaining graduates are currently actively seeking employment and attending interviews, with the FORTE team providing support to ensure they are matched with appropriate job opportunities within the next three to six months.
The South Australian Government will only make repayments under the FORTE model when a participant has demonstrated a successful employment outcome, meaning that they have secured work in their desired field, achieved higher income, and generated higher income tax as a result. By implementing this approach, the FORTE model ensures that the South Australian Government only funds labour force interventions that are effective.
According to the Founder & CEO of FORTE, talent is abundant throughout South Australia, and the programme aims to provide everyone with the opportunity to learn new in-demand skills, attain financial independence, and reach their full potential.
The FORTE model guarantees that the South Australian Government only invests in labour force interventions that have proven effectiveness. The CEO believes that there is an abundance of talent in South Australia and that the programme is designed to provide everyone with an opportunity to learn new in-demand skills, achieve financial independence, and reach their full potential.
The programme aims to help Adelaide become a leading tech hub in the Asia-Pacific region. A great tech talent pipeline is essential for this goal to be achieved. Thus far, the initiative has contributed to bridging the gender divide in the tech industry. Women who are re-entering the workforce, especially those who have taken a break to raise a family, are a valuable talent pipeline that FORTE aims to tap into.
The Forte Tech Program is a three-month full-time training programme aimed at improving the tech skills of participants. The programme also includes career development services to assist participants in securing employment opportunities in the tech industry. These services include introductions to potential employers, assistance in crafting resumes and profiles, and one-on-one coaching.
The programme is entirely remote, enabling participants to work from home while receiving top-quality training, hands-on project experience, and ongoing support. The training focuses on fields such as Data Analytics, Software Development, and Cloud Computing, which offer excellent salaries, and flexibility and are in high demand for the future. In addition, the training comes at no cost to participants.
- Like
- Digg
- Del
- Tumblr
- VKontakte
- Flattr
- Buffer
- Love This
- Odnoklassniki
- Meneame
- Blogger
- Amazon
- Yahoo Mail
- Gmail
- AOL
- Newsvine
- HackerNews
- Evernote
- MySpace
- Mail.ru
- Viadeo
- Line
- Comments
- Yummly
- SMS
- Viber
- Telegram
- Subscribe
- Skype
- Facebook Messenger
- Kakao
- LiveJournal
- Yammer
- Edgar
- Fintel
- Mix
- Instapaper
- Copy Link
The Transport Minister, Michael Wood, launched the country’s first electric vehicle (EV) charging strategy, which includes plans to provide EV charging stations in almost every town in New Zealand. The strategy is titled Charging Our Future. According to Wood, the government’s vision is for Aotearoa New Zealand to have world-class EV charging infrastructure that is accessible, affordable, convenient, and reliable.
The strategy aims to offer journey charging hubs every 150-200 kilometres on main highways, a public charger for every 20-40 EVs in urban areas, and public charging at community facilities for all settlements with 2,000 or more people. Meeting the targets would see tens of thousands more EV chargers across the country, Wood said.
Emissions from the light vehicle fleet are the single largest source of transport emissions in New Zealand, partially due to having some of the most fuel-inefficient and emissions-intensive vehicles in the OECD. This is expensive and damaging to people’s health and the environment. “Switching to EVs would be like buying petrol for 40c/litre, which would make a big difference for household budgets,” he explained.
Last May, the government released Aotearoa New Zealand’s first emissions reduction plan. The plan explored how the country would meet the first emissions budget for 2022–25 and put it on track to meet future emissions budgets. As per the strategy, transport is one of New Zealand’s largest sources of greenhouse gas emissions and is responsible for 17% of national gross emissions and 39% of total domestic carbon dioxide emissions.
The Emissions Reduction Plan includes the action to rapidly adopt low-emissions vehicles including by improving EV-charging infrastructure across Aotearoa to ensure that citizens have adequate access to charging facilities. Although EVs are not a solution, they are a crucial part of a decarbonised transport system, complementing increased opportunities for adults and children to safely walk, cycle, and use high-quality public transport, the strategy wrote. The country needs an EV charging plan to provide certainty to all parties about the role government will play in supporting EV charging infrastructure.
These new targets will facilitate infrastructure to support different trips and journeys that EV drivers make as well as ensure that rural and provincial New Zealand locations are accessible for residents and visitors with EVs. Wood noted that the success of the government’s clean car policies means there are more than 69,000 EVs on roads, over 80% more than at the end of 2021. This strategy will ensure New Zealand can sustain the uptake of EVs as it is witnessing more people make the switch.
The Ministry will work with local government and industry across transport, energy, and other sectors to deliver on these initiatives. “We also want to make sure we’re working alongside the public. I hope everyone will take the opportunity to feed into the draft strategy and the discussion document,” Wood stated.
The country’s capital, Wellington, previously announced it aims to replace all fossil-fuel-powered passenger vehicles with electric alternatives by 2030. Last year, the Wellington City Council added 24 electric vehicles (EVs) to its fleet. As OpenGov Asia reported, by mid-August, there were 40 EVs for staff to use for daily operations.
A study by the New Zealand Transport Agency (Waka Kotahi) about Kiwi behaviour showed that on average, people don’t travel more than 20 to 50 kilometres a day. Introducing electric vehicles that are capable of a 250-300 kilometres range in one full charge will be the right match for most Council operations. As Wellington city is compact, there are many opportunities for people to change the way they travel throughout the city and have an impact on carbon emissions. More recently, the capital approved trialling a public e-bike share scheme, allowing residents and visitors to hire e-bikes to get around the city.
- Like
- Digg
- Del
- Tumblr
- VKontakte
- Flattr
- Buffer
- Love This
- Odnoklassniki
- Meneame
- Blogger
- Amazon
- Yahoo Mail
- Gmail
- AOL
- Newsvine
- HackerNews
- Evernote
- MySpace
- Mail.ru
- Viadeo
- Line
- Comments
- Yummly
- SMS
- Viber
- Telegram
- Subscribe
- Skype
- Facebook Messenger
- Kakao
- LiveJournal
- Yammer
- Edgar
- Fintel
- Mix
- Instapaper
- Copy Link
The HKUST Business School conducted a comprehensive research study aimed at guiding policy and strategy development for Hong Kong’s regtech sector. The study highlights the pain points currently facing the industry and proposes measures that could strengthen its growth.
To create a more vibrant and innovation-friendly regtech ecosystem, regulators should consider leading in technology development, providing incentives for technology use, and issuing clear guidelines to facilitate technology adoption.
Regtech is a subsector of fintech that adds value to financial institutions and end-users of financial services by automating compliance processes and facilitating innovative customer services such as remote bank account opening. The Hong Kong Government recognises the significance of regtech as part of its fintech strategy and promotes its growth in the city.
To conduct the study, the research team collected insights from regtech solution providers and users, including senior management from banks, payment service providers, and asset management companies. The team used an online survey and focus group discussions to gather this information. Based on their findings, the team developed two reports that summarise their key observations and recommendations.
The research team identified the potential of regtech in automating financial institutions’ know-your-customer (KYC) processes and recommended establishing clear protocols for releasing government data for document verification purposes.
Additionally, the team proposed several solutions to address Hong Kong’s regtech talent shortage, including allocating more resources for on-the-job training, mandating IT courses for finance majors, and establishing an accredited regtech program that is widely recognised.
The Dean of HKUST Business School expressed that financial institutions are turning towards regtech to stay competitive and provide consistent value to customers amid a rapidly changing market with numerous regulatory requirements.
He hopes that this study will help policymakers, regulators, and industry participants to enhance the regtech capabilities of the city and accelerate industry growth. Additionally, the school plans to allocate more resources and focus on regtech research in the future.
The following are the recommendations provided by the HKUST Business School’s study on promoting regtech development in Hong Kong:
Creating a Friendly Regulatory Environment that Encourages Innovation:
- Establish clear guidelines with notes on interpretation and provide prompt feedback
- Provide incentives to the industry, startups, and academics to facilitate regtech innovation
Building a Connected, Inclusive, and Vibrant Regtech Ecosystem:
- Regulators to take lead in technology solutions to address pain points of the industry
- Build an inclusive regtech network through the facilitators
- Accreditation of regtech solution providers
Facilitating the Sharing of Data & Technology in the Regtech Community:
- Standardise the APIs for different banks to share data
- Provide shared databases and platforms to be accessed by different regtech stakeholders
- Allow successful sandbox projects to share solutions
Facilitating KYC Processes and Cross-Border Data Access:
- Establish protocols for verification of documents and identities (individuals and corporates)
- Collaborate with Mainland China to offer standardised procedures and data access
Solving Hong Kong’s Regtech Talent Shortage:
- Government and regulators to allocate more resources for on-the-job training
- Government to sponsor more internships, as firms may not have the resources to support student internships
- Government could provide living allowance to expatriates, or subsidise the companies that offer housing benefits to expatriates to increase their willingness to relocate to Hong Kong
- Higher education providers to include mandatory IT courses in the curriculum for finance majors
- Establish a widely accepted accredited program with regtech as a specialisation for graduates and practitioners to certify fintech and regtech talent
- Provide a clear path for the regtech profession and offer a more rewarding scheme and more interesting future prospects to attract students into the field.
The Policy Innovation and Coordination Office (PICO) and the Research Grants Council (RGC) funded the study.
- Like
- Digg
- Del
- Tumblr
- VKontakte
- Flattr
- Buffer
- Love This
- Odnoklassniki
- Meneame
- Blogger
- Amazon
- Yahoo Mail
- Gmail
- AOL
- Newsvine
- HackerNews
- Evernote
- MySpace
- Mail.ru
- Viadeo
- Line
- Comments
- Yummly
- SMS
- Viber
- Telegram
- Subscribe
- Skype
- Facebook Messenger
- Kakao
- LiveJournal
- Yammer
- Edgar
- Fintel
- Mix
- Instapaper
- Copy Link
Venture Capital (VC) has played a significant role in driving innovation and economic growth by providing essential financing for startups and early-stage enterprises. With rising interest rates and complicated loan approval processes, many entrepreneurs are turning to VC financing opportunities to bridge the gap between funding sources for innovation and traditional, lower-cost forms of finance available to existing businesses.
To attract private equity funds and entice entrepreneurs with high-return ideas, the VC industry must offer a satisfactory return on capital, provide appealing returns for its members, and demonstrate promising upside potential. However, consistently outperforming investments in inherently risky business operations remains a significant challenge
Despite not being long-term ventures, the goal of VC investments is to provide financial support to a company’s balance sheet and infrastructure until it achieves a certain size and level of credibility that makes it attractive for acquisition by a corporation or provides the opportunity for liquidity in the institutional public equity markets.
Due to the saturation of the startup market and ongoing inflation concerns, many investors are opting for a more conservative approach. Venture capitalists today are adopting a more cautious, long-term strategy, departing from the previously prevalent aggressive, short-term investment approach.
Venture Capitalists Measure When Funding a Startup
Kei Furukawa, a Partner in Investment & Business Development at the UTokyo Innovation Platform Co (UTokyoIPC), presents the Innovative Platform as the entity in charge of enhancing the University of Tokyo (UTokyo)’s innovation ecosystem. It is tasked with ensuring returns on its investments as a funding corporation as well as disseminating academic research outcomes from the world-leading university in Japan to society as a whole.
“UTokyo IPC aims to accelerate innovation on a global scale that leveraged the University of Tokyo through three key activities: supporting entrepreneurs, facilitating corporate innovation, and investing in startups,” Kei reveals.
The company’s primary activity is Venture Capital (VC), which consists of meaningful investments and the exiting of those portfolios. A concurrent objective is to apply UTokyo’s research, intellectual assets and other resources to businesses.
While the ultimate goal is to make investments, Kei shared that they also conduct extensive research and academic work, that can be commercialised.
The company has invested in around 60 companies or portfolios that are primarily focused on various fields including biotech (drug discovery, medical devices, agriculture), robotics, aerospace, IT and AI (mainly enterprise solutions).
“It is pertinent that our company was established as a result of a political decision, indicating that the government is currently experiencing a period of uncertainty,” Kei explains. “Ministry of Economy, Trade and Industry (METI), and the Ministry of Education, Culture, Sports, Science and Technology (MEXT)made a joint decision to increase funding for startups emerging from universities, to explore ways to transform research into viable business ventures. This decision ultimately led to the creation of our company.”
Typically, national universities in Japan are not permitted to invest in companies, but an exception was made in this case. As a result, the VC firm is deeply invested in the growth of startups and takes a deep interest in their success.
Kei explained that the national budget was used to establish our funds. It is noteworthy that the funds comprise public and private sources, with a government disbursement allowing it to undertake investments with significantly greater risk.
He acknowledges that the company employs a matrix to evaluate the success of its investments. However, due to their focus on early-stage deep tech investments, it can be extremely challenging to conduct such measurements, particularly at an early stage. Nonetheless, his team closely monitors the progress of each investment and ensures that the milestones established for both business and technology are met.
The company operates an incubation and accelerator programme called “1st Round” (https://www.1stround.jp/) that serves as a bridge between academia and business. It is a programme co-hosted by 13 Top national and private universities from Japan. To participate in the initiative, start-ups are not required to be incorporated but must do so if chosen. If already incorporated, they must be under 3 years, and must not be funded by a VC at application timing.
He notes that they have numerous corporate sponsors, consisting of major Japanese corporations of a wide spectrum of industry fields. They strongly encourage partnerships between the startups and the sponsoring companies to conduct proof of concept (POC) projects together. This safe and close-knit community has resulted in many successful ventures between companies and startups.
The venture capitalist arm has a follow-on investment strategy aimed at providing support to the companies they invest in, particularly during challenging times. They take a hands-on approach by having members sit or observe boards meeting of portfolio companies to offer guidance and mentorship for business development, HR support (has own recruitment platform “Deep tech Dive” (https://www.utokyo-ipc.co.jp/dive/), and public relations. Also since their fund terms are 15 years, relatively longer than other VC funds, which helps deep tech startups to firmly bring technology to the market.
The VC strongly believes in the value of persistence and is committed to not giving up on its investments. They are determined to work tirelessly until the very end to revitalise the company, a trait they consider critical of a successful investor.
As a university subsidiary, they do not limit themselves to any particular investment areas and remain open to various types of startups. While there may be some sectors that are more attractive to non-tech venture capital, they generally favour startups that may be complex to comprehend but possess the potential to bring about transformative changes in the world.
They take a long-term investment approach and have transitioned from short-term rapid investment to supporting social impact and sustainability, particularly in healthcare startups. However, they also must balance this with the need for financial returns.
When making investments, financial returns are undoubtedly important, but they are not the sole factor that should be taken into account. The overall impact of the investment, including its social, environmental and ethical implications, should also be carefully considered.
Startups have several options for obtaining capital, such as crowdfunding, venture loans, and revenue-based finance. Each strategy has its own advantages and disadvantages, and therefore, entrepreneurs must have a deep understanding of these options.
Having multiple funding options can be advantageous, provided that entrepreneurs and shareholders are well-informed about the pros and cons of each. A thorough understanding of the funding options can help them make an informed decision that aligns with their business goals and objectives.
Urban Ideas and Solutions Through LKYGBPC
The Lee Kuan Yew Global Business Plan Competition (LKYGBPC), which began in 2001, is a biennial global university start-up competition hosted in Singapore. Organised by Singapore Management University’s Institute of Innovation and Entrepreneurship, focuses on urban ideas and solutions developed by student founders and early-stage start-ups.
According to Kei, as an entrepreneur, it is essential to have the appropriate capacity and seek guidance from knowledgeable individuals, particularly in the early stages of the business. As a university subsidiary, UTokyoIPC is well-equipped to assist entrepreneurs and help prevent them from making fatal mistakes out of ignorance.
The success of promoting entrepreneurship in culture depends on the ecosystem and environment that encourages and supports it. Singapore has a strong entrepreneurial environment, with universities such as SMU and NUS emphasising entrepreneurship. In contrast, Japan has a larger economy but tends to be more conservative.
The University of Tokyo has been actively fostering entrepreneurship by offering courses to students, which has led to the creation of numerous companies. The critical factor behind this success is the creation of an environment that supports entrepreneurship and motivates people to pursue it. Marketing and promoting the benefits of entrepreneurship are also vital to its success.
“The programme is expanding and involving many other universities beyond Singapore. This makes LKYGBPC an excellent platform for startups or the venture capital industry, as it is close to many countries in the region.” Kei believes.
Since joining the company in 2019, Kei has been actively involved in supporting startups, professors, and students through various initiatives. His passion is on deep tech startups or those with the potential to bring about positive changes in the world. He has invested in a diverse range of fields, including IT, robotics, AI and agritech.
Many successful entrepreneurs come from different backgrounds, such as business, engineering, finance, marketing and more. While having a technical background can be advantageous in some industries, it is not always necessary for achieving business success, Kei opines.
“Ultimately, having a strong business sense is more crucial than any specific technical background. What truly matters is possessing a good grasp of business and the necessary skills to succeed in it. This entails competencies such as strategic thinking, financial management, leadership, communication, and problem-solving,” Kei concludes.
