With R&D centres in Korea, China, Japan, Germany and the United
States, a total of seven large-scale production facilities in Korea, China,
Indonesia and Hungary as well as offices in 31 different countries, Hankook
Tire is a global power player in the tyre industry.
Founded in 1941, Korea-based tyre company Hankook Tire has been a
growing business with products now available in more than 180 countries around
the world. It produces superior quality, high performance radial tyres for
passenger cars, 4x4s, SUVs, light trucks, campers, trucks, buses and motorsport
vehicles with approximately 21,000 employees around the world. The large number
of tires produced by Hankook Tire makes it one of the top 5 companies in the
mass production of tyres.
IT security has been a top priority for Hankook Tire in securing its
innovations and business-critical data.
Hankook Tire is famous for its extensive involvement in motorsports,
sponsoring and supplying tires for numerous touring car, rally, endurance and
single seater championships and events. It also has various records of
developing and testing innovative high-concept technology and products that
ultimately find their way into the mass market.
Hankook Tire’s global headquarters and main research and development
centre are located in South Korea, along with a substantial operational network
around the world to meet the needs of its fast-paced domestic marketplace.
Besides, Hankook Tire is heavily reliant on IT to stay connected and
productive in a fast-moving and highly competitive sector. Employees work from
both offices and remote locations, with employees accessing data 24/7, on PCs,
laptops and multiple devices in the office, at home and on the move. Its
electronic activities are all vulnerable to viruses, spam, hackers, and other
attacks, bringing significant risk of interruptions to business continuity and
potential damage to the performance, income and reputation of the company.
Soon it became clear that the existing anti-virus software was no
longer adequate, and that a much more comprehensive, robust, and flexible IT
security solution was required.
“A major attack could have severe consequences for Hankook Tire,
with our entire network potentially being infected, so it is vital that we have
robust protection for our network, files, mail and devices,” explain Mr Kim Hui
Jeong of Hankook Tire’s emFrontier Technology team.
Acknowledging the importance to protect confidential,
business-critical communications and data constantly flowing between employees,
offices and third parties, Hankook Tire began looking for a partner capable of
providing the products, services and infrastructure necessary to meet its
increasingly complex business requirements.
The company found Kaspersky Lab its partner for
cybersecurity solution. Hankook Tire selected Kaspersky’s multi-layered, fully
integrated IT security solution, citing its ability to provide robust
protection both within and outside the company’s corporate boundaries.
“We selected Kaspersky both for the quality of its products and for
their excellent service record. There’s no doubt that Kaspersky’s anti-virus
software is the global standard, and the company’s central platform management
console is very easy to use,” said Mr Kim.
The solution combines powerful endpoint controls with security for
workstations, along with file servers and provisions for rigorous mobile
security. At its heart is Kaspersky’s market-leading, advanced anti-malware
software, which constantly assesses threats and delivers automatic updates for
a rapid response to new threats.
There are separate web, device and applications controls and a
centralised management platform which makes it easy to administer security
tools across desktop, portable, mobile and virtual endpoints, providing
advanced visibility and IT security control for managers. IT security platform
in Korea delivers benefits for global operations
“In addition, we receive in-depth quarterly inspections by Kaspersky
technical engineers who check the status of entire network, review policies,
and investigate error logs to see if there are any underlying problems,” Mr Kim
Five years later, Hankook Tire is proud to renew its successful and
productive long-term relationship, describing Kaspersky’s anti-virus software
as “the global standard”.
“We particularly appreciate Kaspersky’s hacking sensing and deletion
as well as its worm-blocking capabilities. We always have ready access to help
and advice from Kaspersky’s experts, and that makes our job much easier,” Mr
“We’ve been working with Kaspersky for a long time now. We see them
as our partners, so communication between our two organizations is open and
supportive. We fully trust them to protect us and our interests.”
All information in this case
study is provided by Kaspersky Lab.
India will Chair the Global Partnership on Artificial Intelligence (GPAI), an international initiative to support the responsible and human-centric development and use of artificial intelligence (AI).
The Minister of State for Electronics and Information Technology (MeitY), Rajeev Chandrasekhar, represented India virtually at the GPAI meeting held in Tokyo for the symbolic takeover from France, which is the outgoing Council Chair.
Chandrasekhar stated that the country would work in close cooperation with member states to put in place a framework to fully exploit the power of AI for the good of consumers across the globe. This means ensuring there are adequate guardrails to prevent misuse and user harm.
According to the Minister, India is building an ecosystem of modern cyber laws and frameworks based on three principles: openness, safety, and trust and accountability. With a National Programme on AI and National Data Governance Framework Policy (NDGFP) in place as well as one of the world’s largest publicly accessible datasets programmes in the works, the Minister reiterated India’s commitment to using AI to catalyse innovation and create good, trusted applications.
The NDGFP strives to ensure equitable access to non-personal data and improve institutional frameworks for government data sharing, promote principles around privacy and security by design, and encourage the use of anonymisation tools. It also aims to standardise the way the government collects and manages data. The NDGFP along with an envisaged Indian Data Management Office (IDMO) shall catalyse the next-gen AI and data-led research and startup ecosystem.
Through the datasets programmes, anonymised non-personal data will be available for the entire AI ecosystem. The AI market globally was nearly US$ 59.67 billion in 2021 and is projected to grow at a compound annual growth rate (CAGR) of 39.4% to reach around US$ 422.37 billion by 2028. With the rapid growth of AI and machine learning (ML), experts predict that most businesses will shift to AI-powered systems, apps, security systems, data analysis, and other applications in the future. AI is expected to add US$ 967 billion to India’s economy by 2035 and US$ 450–500 billion to India’s GDP by 2025, accounting for 10% of the country’s US $5 trillion GDP target.
A government official outlined India’s priorities as Chair GPAI next year, stating that the country would focus on promoting greater involvement of the global south in the conversation regarding the use of AI for solving societal problems. The country has also emphasised the need for the responsible and ethical use of AI.
GPAI is a congregation of 25 member countries, including the United States, the United Kingdom, the European Union, Australia, Canada, France, Germany, Italy, Japan, Mexico, New Zealand, the Republic of Korea, and Singapore. In 2020, India joined the group as a founding member. It is a first-of-its-type initiative that aims to better understand the challenges and opportunities around AI. It works in collaboration with partners and international organisations, leading experts from industry, civil society, governments, and academia. These stakeholders collaborate to promote the responsible evolution of AI and guide the development and use of the technology, grounded in human rights, inclusion, diversity, innovation, and economic growth.
The Hong Kong Polytechnic University (PolyU) and a US-based engineering company signed a Memorandum of Understanding to establish the Centre for Humanistic Artificial Intelligence and Robotics (CHAiR) for translational research with the goal of advancing the well-being of humanity.
The partnership aims to integrate the university’s interdisciplinary research capabilities and the company’s well-known humanoid robotics platform to explore technology applications. Sophia, the company’s most advanced human-like robot, will work with PolyU researchers to enhance the contribution of AI and robotic technology for social and commercial benefits.
Research into and applications of AI and robotics are essential to the advancement of industry. As an interdisciplinary research and development centre, CHAiR brings cross-faculty collaborations in research fields such as AI, the internet of things (IoT), neuroscience, design, computer science, mechanical engineering, material science, healthcare, and the humanities.
In collaboration with the company, CHAiR supports innovation and entrepreneurship in Hong Kong and the Greater Bay Area. The Dean of Graduate School, Chair Professor of Distributed and Mobile Computing, and Otto Poon Charitable Foundation Professor in Data Science will serve as the principal investigator and administrative director of CHAiR. He will also serve alongside the CEO and Founder of the company as a co-chair of the Centre’s steering committee.
The MoU was signed by the Vice President (Research and Innovation) of PolyU and the CEO and Founder of the company. It was Witnessed by the President of PolyU and the Executive Director of the firm.
During the signing ceremony, Sophia made conversation with the guests. She said, “I look forward to learning many new skills and abilities. With your help, maybe I can learn how to be a nurse, a teacher, a concierge, a librarian. You can teach me how to be a better companion, a more skilful artist, a funnier entertainer.”
Meanwhile, the company’s CEO and Founder noted that the new centre is perfectly positioned to refine and improve the performance of Sophia-class robots in ways that promote the growth of a new service robot industry. As soon as the industry begins expanding, investment in improved hardware, software and manufacturing technologies will as well, he noted.
The President of PolyU noted that academia-industry collaboration is one of the most productive mechanisms for creating and implementing innovations. There is tremendous untapped potential for humanistic social robots. Let us aspire that CHAiR will be a major catalyst for the onset of the age of humanistic robots.
The Dean of Graduate School, Chair Professor of Distributed and Mobile Computing, who is also Director of the Research Institute for Artificial Intelligence of Things (RIAIoT), said the Institute has been working on practical solutions to key challenges in advanced AIoT technologies and applications.
He noted that the natural evolution for RIAIoT is to partner with the engineering firm to address increasingly ambitious opportunities in humanistic AI and social robotics. CHAiR will play a unique and key role to combine the firm’s knowledge with world-class academics here at PolyU.
The engineering company is an AI and robotics company dedicated to creating socially intelligent machines that enrich the quality of our lives. Sophia is the world’s first robot citizen and the first robot Innovation Ambassador for the United Nations Development Programme.
The Hong Kong Science and Technology Parks Corporation (HKSTP) affirmed its strategic co-incubation partnership with a Canada-focused venture capital firm to identify promising international start-ups seeking to expand their innovation journey to Hong Kong, into the GBA and beyond.
With a proven track record in life science start-ups, the VC firm will work with HKSTP to build an inbound stream of early and mid-stage ventures. The co-incubation programme aims to bring several strong-performing ventures to Hong Kong with a focus on biotech, but also on other deep-tech areas such as ESG, advanced materials, edutech and AI.
To date, as Hong Kong’s largest technological ecosystem, HKSTP has helped accelerate growth for hundreds of outstanding start-ups, raising over HK$80.2 billion in total funding in the past five years. During the 2021-2022 fiscal year, the total valuation of HKSTP’s acceleration programme start-ups grew over 250% while total investment funds raised have also doubled.
The partnership with the VC firm is the most recent of HKSTP’s series of strategic co-incubation programmes with global market leaders in the industry, investment, R&D and academia, which further elevate Hong Kong’s innovation and technology (I&T) ecosystem strength as a global springboard to success.
Riding on Hong Kong’s thriving biotech market and the city’s status as the world’s second-largest biotech fundraising hub, the co-incubation partnership also recognises HKSTP’s impact and success in building a vibrant biotech ecosystem in Hong Kong.
The Head of Incubation and Acceleration Programmes at HKSTP stated that the co-incubation partnership with an international player like the partnering firm validates Hong Kong’s unique and growing status as a global I&T hub helping international start-ups go beyond borders in their global growth journey.
She noted that with a pipeline of seed stage and series A start-up’s already in place, this proves the strength of the HKSTP innovation ecosystem and confirms that Hong Kong is open again for global business and an ideal launchpad for high-growth tech ventures seeking GBA, regional and global expansion.
The Managing Partner of the VC firm stated that the signing of this co-incubation agreement will allow the two parties to incubate and introduce promising global start-ups to scale their businesses in Asia. The firm will continue to leverage its unique cross-pacific networks and investment niches in transformative life science technologies to enrich Hong Kong’s innovation ecosystem with more ground-breaking technologies from North American start-ups.
The programme features co-incubation activities ranging from business development, consulting and training to mentoring sessions for qualified overseas start-ups. Participating entrepreneurs will also create proofs-of-concept and pilot initiatives.
The start-ups will tap into the investment and international business network reach of the firm while also formally joining the HKSTP innovation ecosystem to access product validation, commercialisation and go-to-market expertise from HKSTP and its wider network of partners.
Specialising in investing globally in science and technology-based start-ups, the VC firm has been active in Hong Kong and Asia with its specific focus on nurturing start-ups that aspire to expand to China and Asia. In 2019 it facilitated eight Canadian start-ups from prestigious start-up programmes to come to Hong Kong to gain deeper insights into strategic landing tactics and expansion into the Asian markets. This latest partnership with HKSTP has forged a new level of commitment to the Hong Kong I&T ecosystem.
Taiwan City Science Lab @ Taipei Tech demonstrated a series of cutting-edge AI applications. The lab exhibit advanced AI applications and their research and development results, such as the mobile robot, a AI robotic fish and Campus Rover.
The cross-disciplinary R&D and teaching laboratory aims to be a global technology and talent exchange platform. Massachusetts Institute of Technology (MIT) and Taipei Tech are coming together to jointly established City Science Lab @ Taipei Tech.
“Through developing advanced AI technology and big data system, we plan to make Taiwan the island of high-end technology,” said Yao Leehter, Taipei Tech Chair Professor of the Department of Electrical Engineering.
Yao indicated that Taipei Tech alums highly support the lab. The lab also collaborates with Kent Larson, the leader of MIT City Science Lab, the City Science Lab @ Taipei Tech aims to be an international platform for technology and talent exchange.
Taipei Tech adopts and jointly promotes with MIT to implement the Undergraduate Scientific Research Programme. Known as UROP, the programme provides sufficient resources for students and cultivates a new generation of scientific researchers. The collaboration was initially rolled out in 1969 by MIT’s first President, William Rogers.
For students to learn the most modern and state-of-the-art technology applications, the lab provides advanced equipment for R&D purposes, such as mobile robots. The agile, mobile robot can adapt to complex terrains and is equipped with LIDAR, infrared, and stereo vision sensors, which can draw 3D point cloud maps in real-time and detect and dodge obstacles. The mobile robot is used in decommissioned nuclear power plants, factories, construction sites, and offshore drilling oil platforms. Another mobile robot use case is for patrol, troubleshooting, and leak detection.
In addition, the lab also showcased its R&D results which are the AI robotic fish to the advanced instrumental equipment. The robotic fish is a streamlined robot designed to resemble a real fish. The fish robot comprehends and mimics the motion model of swimming fish through machine learning.
The robot can swim underwater in a simulated way. To perfectly mimic the fish movement, researchers have spent significant time collecting massive movement data from real fish, documenting, and analysing the swimming performance. Afterwards, they utilised AI technology and programme coding to control the motoric movement of the robotic fish.
The team then spent a year adjusting the robotic fish to make the swim movement look like a real fish. Machinery fish propulsion efficiency and excellent swimming performance are considered one of the most critical subjects in bionics.
“The robotic fish is useful for biological research and can also be used to carry out underwater operations and examine water quality,” said Yao.
Recently, the fish robot was involved in movie production. During the designing process, the production house team suggested adding a “cloth” on the fish with fish skin and fish scale to make it more lifelike. The company also came up with the idea to use a magnet to stick the fish scale on the body of the robotic fish. Taiwan Textile Research Institute and the local design research group joined the brainstorming and production process to finish the golden fish’s final look onscreen.
Moreover, The Campus Rover, developed by the team of Professor Yao in cooperation with the Taipei Tech Department of Industrial Design, demonstrated practical AI applications in real life. For example, campus or express hospital service can use the self-charging robot to ensure delivery safety.
Dr Andrew Lensen from the School of Engineering and Computer Science and Dr Marcin Betkier from the Law School are eager to ensure AI has a significant role in the justice system. The researchers based in New Zealand built an Artificial Intelligence (AI) algorithm that predicts the length of court sentences.
But the question that may arise is whether the AI algorithm is fair enough to hand down the sentences. In the current justice system, society trusts judges to hand down fair sentences to the accused based on their knowledge and experience.
But how about AI? Can it judge better because it can eliminate the potential for bias and discrimination? And can AI substitute the judge’s knowledge and experience with its ability to analyse and predict large amounts of data?
Dr Andrew is optimistic that AI can help better sentencing performance in the court. The confidence comes from the use of AI to predict some criminal behaviour, such as financial fraud. Even though he has not tested the algorithm model in the courtroom to deliver sentences, he is confident in his idea that AI can have a role in the sentencing process.
Dr Andrew says when judges handle a case in the court, they have some “inconsistency” when passing a sentence for a convicted criminal. The inconsistency comes from a judge’s consideration of individual circumstances, societal norms and the sense of justice.
The moral decision and the sense of humanity are based on their experience and even sometimes change the law. Each judge uses their prudence in deciding the outcome of a case. Another “undesirable inconsistency” occurs as bias or even extraneous factors like hunger. Research in Israeli courts has shown that the percentage of favourable decisions drops to nearly zero before lunch.
Judges must ensure similar offences should receive similar penalties in different courts with different judges. Usually, to enhance sentence consistency, the justice system has prepared guidelines as a reference. This inconsistency area is the pain point where AI can help.
How AI Helps Judges
Most modern AI is machine learning, a machine learning algorithm that could learn the patterns in a database to predict patterns and outcomes. Therefore, AI can provide better sentence suggestions after the computer algorithm learns the patterns within a set of data.
Dr Andrew’s machine learning algorithm trained with 302 New Zealand assault cases. The sentences in those cases are between 0 and 14.5 years of imprisonment. The model quantifies sentences based on certain phrases and terms when calculating the sentence. Then the algorithm built a model that can predict the length of a sentence for a new case and explain why it made certain predictions.
The relatively simple model worked quite well within the average error of the model in under 12 months. The model associates the words or phrases such as “sexual”, “young person”, “taxi” and “firearm” with longer sentences. While shorter sentences were given to cases with words like “professional”, “career”, “fire” and “Facebook”.
Beyond Decision Making
In the future, AI could be used as an evaluation tool for judges. They could understand better their sentencing decisions and perhaps remove extraneous factors. The models also have the potential to be used by lawyers, providers of legal technology and researchers, to analyse the sentencing and justice system. Moreover, AI also can be used for controversial sentences and help create some transparency around controversial decisions.
Of course, the use of AI in the justice system may still be controversial. Most people are still keen that the final assessments and decisions on justice and punishment should be made by human experts. But maybe it is the right time need to give an opportunity to an “algorithm” or “AI” in the judicial system for the common good.
New Zealand is not the only country that explores the use of Artificial Intelligence (AI) in courtrooms. Several other countries like China and Malaysia have done similar things. In China, robot judges can decide on a small case. While in Malaysia, some courts have used AI to recommend sentences for offences such as drug possession.
An international team led by The Chinese University of Hong Kong (CUHK)’s Faculty of Medicine (CU Medicine) has successfully developed the world’s first artificial intelligence (AI) model that can detect Alzheimer’s disease solely through fundus photographs or images of the retina. The model is more than 80% accurate after validation.
Fundus photography is widely accessible, non-invasive and cost-effective. This means that the AI model incorporated with fundus photography is expected to become an important tool for screening people at high risk of Alzheimer’s disease in the community. Details have been published in The Lancet Digital Health under the international journal The Lancet.
Limitations of Alzheimer’s disease current detection methods
In Hong Kong, 1 in 10 people aged 70 or above suffers from dementia, with more than half of those cases attributed to Alzheimer’s disease. This disease is associated with an excessive accumulation of abnormal amyloid plaque and neurofibrillary tangles in the brain, leading to the death of brain cells and resulting in progressive cognitive decline.
The Clinical Professional Consultant of the Division of Neurology in CU Medicine’s Department of Medicine and Therapeutics stated that memory complaints are common among middle-aged and elderly people, and are often considered a sign of Alzheimer’s disease.
It is sometimes difficult to make an accurate diagnosis of Alzheimer’s disease based on cognitive tests and structural brain imaging. However, methods to detect Alzheimer’s pathology, such as an amyloid-PET scan or testing of cerebrospinal fluid collected via lumber puncture, are invasive and less accessible.
To address the current clinical gap, CU Medicine has led several medical centres and institutions from Singapore, the United Kingdom and the United States to successfully develop an AI model using state-of-the-art technologies which can detect Alzheimer’s disease using fundus photographs alone.
Studying disorders of the central nervous system via the retina
The S.H. Ho Professor of Ophthalmology and Visual Sciences and Chairman of CU Medicine’s Department of Ophthalmology and Visual Sciences explained that the retina is an extension of the brain in terms of embryology, anatomy and physiology. In the entire central nervous system, only the blood vessels and nerves in the retina allow direct visualisation and analysis.
Thus, it is widely considered a window through which disorders in the central nervous system can be studied. Through non-invasive fundus photography, a range of changes in the blood vessels and nerves of the retina that are associated with Alzheimer’s disease can be detected.
The team developed and validated their AI model using nearly 13,000 fundus photographs from 648 Alzheimer’s disease patients (including patients from the Prince of Wales Hospital) and 3,240 cognitively normal subjects. Upon validation, the model showed 84% accuracy, 93% sensitivity and 82% specificity in detecting Alzheimer’s disease. In the multi-ethnic, multi-country datasets, the AI model achieved accuracies ranging from 80% to 92%.
Accessibility, non-invasiveness and high cost-effectiveness of the AI model using fundus photography help the detection of Alzheimer’s cases both in the clinic and the community
A Professor of Medicine and Director of the Therese Pei Fong Chow Research Centre for Prevention of Dementia at CU Medicine stated that in addition to its accessibility and non-invasiveness, the accuracy of the new AI model is comparable to imaging tests such as magnetic resonance imaging (MRI).
It shows the potential to become not only a diagnostic test in clinics but also a screening tool for Alzheimer’s disease in community settings. Looking ahead, the team aims to validate its efficacy in identifying high-risk cases of the disease hidden in the community, so that various preventive treatments such as anti-amyloid drugs can be initiated early to slow down cognitive decline and brain damage.
The Associate Professor in the Department of Ophthalmology and Visual Sciences at CU Medicine said that in addition to applying novel AI technologies in the model, the team also tested it in different scenarios. Notably, their AI model retained a robust ability to differentiate between subjects with and without Alzheimer’s disease, even in the presence of concomitant eye diseases like macular degeneration and glaucoma which are common in city-dwellers and the older population.
Their results further support the hypothesis that the team’s AI analysis of fundus photographs is an excellent tool for the detection of memory-depriving Alzheimer’s disease. To move this research towards clinical application, the team is developing an integrated, AI-based platform to combine information from both blood vessels and nerves of the retina captured by fundus photography and optical coherence tomography for the detection of Alzheimer’s disease. Their findings should provide more evidence to move AI from code to the real world.
The Indonesian government disclosed four potential uses of Big Data and AI to improve its e-government programmes. These two technologies, they feel, have the potential to support disaster identification and preventive action, prevention of illegal activities and cyber-attacks and increase workforce effectiveness.
The Director General of Informatics Applications, Semuel A. Pangerapan, explained several scenarios for Big Data. According to him, the government can use Big Data to improve critical event management and the quality of the response by identifying problem points through Big Data Analytics. For example, the agencies can be better prepared to prevent and mitigate natural disasters such as drought, epidemics or massive accidents occur.
In addition, Big Data can also enhance the government’s ability to prevent money laundering and fraud through better surveillance to detect such illegal activities.
Furthermore, Big Data significantly reduces the possibility of cyber-attacks. Cyber-attacks can come from external parties, data leaks or internally for a variety of reasons. An analysis of patterns and unusual activities can help in preventing or managing such cyber issues.
Big Data and analytics can contribute to workforce effectiveness by increasing monitoring. In addition, it can be used for policy design, decision-making and gaining insights.
Semuel stressed the importance of data analysis after collecting all data in the right fashion. Data is only valuable if it is collected correctly and then analysed – data will only provide benefits if processed in the right way. “In its implementation, AI helps analyse existing Big Data, providing data understanding or insight to help make decisions,” he explained.
Another advantage of AI is the ability to speed up new implementation services and corrections in real-time. At the evaluation stage, AI can also provide suggestions for adjustments and improvements to subsequent policies.
Currently, the encourages the improvement of the quality of Big Data and AI innovation through the development of e-government. The Indonesian government is also open to third parties to accelerate Big Data and AI use.
E-government has made progress in recent years and received appreciation from the United Nations in 2020. The UN said that Indonesia’s e-government development index rose to rank 88 from previously ranked 107 in 2018. Indonesia’s e-participation index has also increased from rank 92 in 2018 to 57 in 2022.
“The two rankings show an increase in the quality of Indonesia’s e-government and the level of community activity in using e-government services,” said Semuel.
However, the government faced challenges in implementing these two technologies. Overlapping and data replication is one of the main problems. “Regulatory obstacles in the procurement of government Big Data infrastructure also need to be overcome. Then compliance with international standards for the national Big Data ecosystem is also still the government’s homework.”
To optimise AI use, Semuel emphasised the need for a skilled workforce, regulations governing the ethics of using AI, infrastructure, and industrial and public sector adoption of AI innovations.
The government is implementing several solutions to overcome challenges. First, they have provided suitable facilities in the form of National Data Centres (NDCs) in four separate locations. The NDCs will accommodate Government Cloud and contain national data across sectors.
Optimisation of data centre utilisation needs to be supported by staff with qualified expertise. For this reason, the government is holding digital skills training on AI and Big Data through the Digital Talent Scholarship (DTS) and Digital Leadership Academy (DLA) programs.
Apart from facilities and upskilling, Indonesia is looking to develop a business ecosystem that utilises AI and Big Data. Support for this comes from the National Movement of 1000 Digital Startups, Startup Studio Indonesia (SSI) and HUB.ID.