As new technologies come online almost every 18 months, careers and education receive a boost with this new frenzy of how to prepare the future generation of leaders for their career.
The current buzz is around Data Science, as it was with Cloud before it, and Storage, Network – from 3G through 4G to soon 5G, and API; Software – open or proprietary; and before that processor speeds – first in MHz and then GHz and in the forgotten MIPS (Millions of Instructions Per Second)!
We get distracted by these 18-months shelf life shiny objects and sometimes get disappointed when what we learned in university does not get us the job we want after we spent 4 years preparing for.
That is exactly the question. We need to focus on the WHY!
Technologies most times fill the gap of WHAT and HOW and most companies and markets rush to them, with or without the WHY figured out.
I have been privileged to be involved in many discussions, from national agenda debates, Enterprise soul-searching, to university talks in helping the leaders of the future shape their career.
The challenge is we look at things in vertical silo and not horizontal continuum.
In one of these meetings to solve the talent needed for the future Digital Economy, lengthy whitepapers and expensive surveys by esteemed institutions proposed creative and sometimes innovative ways to get the young generation take up Data Science, may it be Data Analytics, Artificial Intelligence or the latest in Machine Learning.
In Asia, where parents have fashioned themselves to be proud parents of doctors, engineers or bankers, the term Data Scientist is as alien to them as the next food craze from Korea.
Therefore the support in getting the endorsement for these new and fancy titles may not be forthcoming, not because the parents do not see a future in them but maybe they are ignorant of their purpose.
So they stay with the evergreen and forever trusted professions like doctors, engineers and bankers. This therefore robs the nation of the opportunity to exceed the target of producing Data Professionals, like Malaysia’s target of 20,000 by the Year 2020. (And if successful, will it rob the nation of doctors, engineers and bankers?)
The solution is to turn the vertical silo 90-degrees and have Data Science inculcated in every of these ‘traditional’ discipline.
Meaning to have doctors use data science as part of their search for a cure for dreaded diseases like cancer and Alzheimers, engineers to leverage artificial intelligence in perfecting the robot assembly line for driverless cars, and bankers to use data analytics to prevent cyber-fraud or improve customer experience with data-driven Marketing.
Develop a Smart Nation, a Digital Economy through Data-Driven culture in EVERY Profession
With this, the nation will become smart and the economy digital, and the parents still will have their children be doctors, engineers and bankers; albeit better equipped now with Data Science.
Singapore’s Infocomm Media Development Authority (IMDA) has recently updated its platform known as Chief Technology Officer-as-a-Service (CTO-as-a-Service). The platform enables SMEs to self-assess their digital readiness and needs at any time and from any location, as well as access market-proven and cost-effective digital solutions and engage digital consultants for in-depth advisory and project management services.
This is for any business entity that wants to know how to start going digital, understand what type of solutions to adopt for its specific business challenge, or choose the solution that best meets its needs.
An enterprise can benefit from CTO-as-a-Service through:
- Conduct a self-evaluation of its digital readiness and pinpoint its gaps and needs in terms of digitalisation;
- Study other Small and Medium Sized Enterprises (SMEs) that have carried out digitalisation projects successfully;
- Receive digital solution suggestions based on the business’s needs and profile; and
- Evaluate the features and costs of various digital solutions.
There are more than 450 subsidised digital solutions available for selection, including those that address industry-specific or general business needs, as well as those that serve to streamline operations, increase business sales revenue, or ensure business resiliency.
The business can also work with digital consultants from the designated operators through CTO-as-a-Service, for digital advisory to assist:
- Seek a deeper comprehension of its business priorities and needs;
- Create training plans and digital solutions specifically for its businesses;
- Include fundamental data usage, protection, and cybersecurity risks in the digitalisation process.
The business may also ask digital consultants to assist with project managing the rollout of its digitalisation initiatives.
Eligible businesses can use digital advisory and project management services for free for the first time. Should the businesses want to keep using digital consultants, future usage or service enhancement will be based on commercial agreements.
Any company that satisfies the requirements below is qualified to use free project management and digital advisory services for the first time:
- Licensed and active in Singapore;
- A minimum of 30 per cent local shareholding;
- Enterprise’s group employment size is no more than 200 employees, or the group’s annual sales turnover is no more than S$100 million;
- Has never previously used CTO-as-a-Service digital consultants.
Meanwhile, SMEs are the backbone of Singapore’s economy. They employ two-thirds of the country’s workers and contribute almost half of Singapore’s GDP. Since digital technology is changing every part of Singapore’s economy, SMEs need to take advantage of digital technologies to grow and do well.
The SMEs Go Digital programme, which was started by the IMDA in April 2017, is meant to make going digital easy for SMEs. More than 80,000 SMEs have used the programme’s digital solutions.
Enterprises can also use advanced and integrated solutions to improve their capabilities, strengthen business continuity measures, and build longer-term resilience. Solutions that are supported by government agencies solve common problems at the enterprise level on a large scale, help enterprises adopt new technologies, and make it easier for enterprises to do business within or across sectors.
IMDA works with sector-led agencies and industry players to find advanced and integrated digital solutions that can be supported and are relevant to their sectors. Companies that want to use these solutions can check the IMDA website to find out when they can apply for each one.
Costs for hardware, software, infrastructure, connectivity, cybersecurity, integrations, development, improvement, and project management can be covered by funding support. With this, the agency has kept helping businesses, and the list of solutions that are supported will grow, with an emphasis on AI-enabled and cloud-based solutions.
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.
The Ministry of Information and Communications (MIC) announced it would roll out Internet advertising management measures at a conference in Hanoi earlier this week. Participants at the event discussed how advertising in cyberspace has become the norm. Domestic and foreign firms choose it because it is easier to access customers and it offers flexible costs and larger reach. However, the limited management of ads poses potential risks to the safety of brands, the Ministry has said.
According to a press release by MIC, ad agents affirmed that without the cooperation of cross-border platforms in modifying algorithms to filter and censor content, ad violations will remain rampant. The Ministry will penalise agents and brands that cooperate with platforms that do not fall in line with MIC regulations. On the other hand, the Ministry will support ads on domestic and foreign digital platforms that comply with domestic laws, MIC’s Deputy Minister, Nguyen Thanh Lam, noted. This will protect brands and build a healthy, safe, and fair ad business environment.
The Ministry will also increase inspection and clampdown on violations of Internet ads activities, he said. Cross-border ad firms that fail to comply with Vietnam’s laws will not be allowed to operate in the country. MIC has also generated a Whitelist consisting of licensed e-newspapers, magazines, general information websites, and social media. Other websites, registered accounts, and information channels are also in the pipeline for the list, the release said. The list will be publicised on the portals of the Ministry and Authority of Broadcasting and Electronic Information. Ad service providers, agents, and brands were also urged to use the list for their work.
Nearly 80% of the population in Vietnam are digital consumers, as OpenGov Asia reported earlier in October. Over the past year, the average contribution of e-commerce to total retail has continued to grow at 15%. Higher than growth in India (10%) and China (4%), with an online-to-total retail share of 6%. Now that the world is in the post-pandemic stage, regional consumers are prioritising an integrated shopping experience, combining online and in-person services. During the ‘discovery’ phase of their shopping, 84% of Vietnamese shoppers use the Internet to browse and find items. This is a period when they use more platforms than ever before, with the dominance of the e-commerce market accounting for 51% of online spending.
At the same time, social networking sites account for nearly half of online discoveries, including images (16%), social media videos (22%), and related tools such as messaging (9%). These tools were paramount channels for 44% of survey respondents. Consumers’ openness to interaction and experimentation has also led to behavioural changes, with 64% of respondents saying they have interacted with a business account in the past year. As customers seek more engagement, the content creation economy is able to grow exponentially.
In the context of digital consumption, Vietnamese users switch brands more often and increase the number of platforms they use to find a better value, with 22% of online orders made on various e-commerce platforms. The number of online platforms Vietnamese consumers use has doubled from 8 in 2021 to 16 in 2022. Therefore, it is important to put in place proper ad regulations as Internet usage grows.
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.
Thailand’s Electronic Transactions Development Agency (ETDA) has recently launched the AI Governance Clinic (AIGC) which will serve as a source of Thai and overseas knowledge and expertise on governance related to artificial intelligence (AI) and its adoption.
ETDA is joining forces with the nation’s National Electronics and Computer Technology Centre (NECTEC), the Ministry of Public Health’s Department of Medical Services, and the Department of Health Service Support. A memorandum of understanding (MoU) between ETDA and the three partners was signed during the nation’s “Building Trust and Partnership in AI Governance” event.
AI is currently having a significant impact on almost every aspect of people’s lives, including work, business, education, finance, health, and electronic transactions, according to ETDA Executive Director Dr Chaichana Mitrpant. “These issues all involve the application of AI.”
A six-year national AI implementation plan for national development between 2022 and 2027 was recently approved by the Cabinet. The adoption of AI with governance along with pertinent laws and regulations is one strategy outlined in the plan for ensuring that users understand social responsibility.
Thailand is getting ready to adopt AI, another cutting-edge technology that is gaining popularity and relevance. ETDA is an organisation that supports a secure and reliable ecosystem for electronic transactions.
To achieve the objectives outlined in the implementation plan, the agency is collaborating with NECTEC. A study on Thailand’s AI standard landscape to develop AI adoption measures and a study on measures to assess AI-based computer programmes to increase the capacity of Thai entrepreneurs in all industries in accordance with international standards are among their important joint projects.
To create a framework for AI governance regarding electronic transactions that are in line with Thailand’s context and international standards, ETDA and its partners – both in Thailand and abroad – established the Clinic.
The Clinic is collaborating with the Academy of Digital Transformation by ETDA to provide resources for capacity development at all levels. Additionally, the AIGC has a substantial library of knowledge sources on pertinent topics, as well as experts from numerous nations who are prepared to provide guidance on AI policies and governance.
An additional Memorandum of Understanding (MoU) was signed by ETDA and its partners NECTEC, the Department of Medical Services, and the Department of Health Service Support for the joint development of an AI governance framework that is appropriate for the Thai context for the country’s healthcare industry.
The collaboration aims to advance the sharing of innovation and AI technology knowledge among the participating agencies and to inform pertinent agencies about AI governance. Thailand’s AI strategy was inspired by a desire to boost the nation’s economy and the quality of life for its people as well as a competitive spirit.
Thailand strives to develop the human capacity and skills required for an AI ecosystem despite the difficulties it faces in developing AI capabilities. They created a formal network and consortium as a result. Thailand will train future AI professionals through structured academic programmes in Thai universities, in addition to bridging the gap between existing academic and industrial experts.
ETDA is the primary agency responsible for developing, promoting, and supporting electronic transactions and it is part of the Ministry of Information and Communication Technology. Its primary responsibility is to research, study, and support the operation of the Electronic Transaction Committee and other related agencies, hence, it contributes to the development and promotion of Thailand’s electronic transactions.
The Cyberspace Administration of China (CAC) announced a new certification for personal information protection and implementation. The office has decided to implement such certification to enhance its information protection capabilities and to promote the rational processing of personal information.
The certification implementation follows the Personal Information Protection Certification Implementation Rules. The implementation rules clarify that personal information processors must comply with the requirements of GB/T 35273 Information Security Technology Personal Information Security Specifications. The rules outline requirements for on-site audits, the evaluation and approval of certification results, post-certification supervision and certification time limits.
Organisations engaged in personal information protection certification work need approvals to carry out activities. The regulation applies to every personal information processor that carries out private information collection, storage, use, processing, transmission, provision, disclosure, deletion and cross-border processing activities.
The State Administration for Market Regulation and the State Internet Information Office decided to implement personal Information protection certification. The step is relevant to provisions of the Personal Information Protection Law of the People’s Republic of China (‘PIPL’). The body requires the Specifications for Security Certification of Cross-Border Processing of Personal Information for cross-border personal information processing.
The latest versions of the standards include technical verification, on-site audit, and post-certification supervision. In addition, the certification body shall clarify the requirements for certification entrustment materials, including but not limited to the basic materials of the certification client, the certification power of attorney, and relevant certification documents.
To get certified, an organisation must submit certification entrustment materials according to the certification body’s requirements and the certification body shall give timely feedback on whether it is accepted after reviewing the materials.
The materials are then used for determining the certification plan, including the type and quantity of personal information, the scope of personal information processing activities, information on technical verification institutions, etc., before notifying the organisation seeking certification.
The CAC stated certification is valid for three years. An organisation must submit a certification commission within six months before the expiration of the validity period. The certification body shall adopt the method of post-certification supervision and reissue new certificates to those that meet the certification requirements.
Violations, cheating, and other behaviours that seriously affect the implementation of the certification on the certification client or personal information processor will cancel the certificate. Therefore, certification bodies shall adopt appropriate methods to implement post-certification supervision to ensure that certified personal information processors continue to meet certification requirements. The certification body comprehensively evaluates the post-certification surveillance conclusions and other relevant information. If the evaluation is passed, the certification certificate can continue to be maintained.
The organisation shall actively cooperate with the certification activities. During the validity period of the certification certificate. If the name and registered address of the certified personal information processor, or the certification requirements, certification scope, etc., change, the certification principal shall submit a change entrustment to the certification body.
When changes happen, the certification body must evaluate the change in entrustment materials. The result will determine whether the body can approve the change. If technical verification or on-site audit is required, the body shall conduct technical and on-site audits before the change is approved.
When a certified personal information processor no longer meets the certification requirements, the certification body will promptly suspend or revoke the certification certificate. The certification principal can apply for the suspension and cancellation of the certification certificate within the validity period of the certification certificate.
The CSIRO’s Next Generation Graduates Programmes are industry-university partnerships aimed at developing a pipeline of home-grown, job-ready graduates to unlock the immense economic opportunity offered by AI and emerging technologies.
In this latest round, 14 programmes were funded, with RMIT leading four, including two by its Centre for Industrial AI Research and Innovation (CIAIRI), one by its Enterprise AI and Data Analytics Hub, and one by the Sir Lawrence Wackett Defence and Aerospace Centre. RMIT will also support a further three.
These programs will provide generous scholarships to domestic PhD students which allows them to be part of a multi-disciplinary team aimed at solving real-world challenges. The programmes are:
1. AI for Next Generation Food & Waste Systems (RMIT led, La Trobe supported)
This programme addresses the skills shortage in adopting advanced AI technologies in the areas of food and waste, a critical national manufacturing priority. This will boost food productivity, improve food quality control and logistics, reduce, and better manage waste generated during the life cycle of food production and consumption.
Through a range of industry-driven research activities, this program will produce a cohort of graduates that are not only equipped with practical AI skills but also ready to integrate into food and waste related industry sectors to generate real impact.
2. Developing Digital Capabilities to Support the Aged Care Sector (RMIT led, Victoria and Newcastle supported)
One of the recommendations in the Royal Commission into Aged Care Quality and Safety is to adopt technology to transform the aged care system so that carers’ time can be best used to deliver quality care. The report also recommended the use of technology to increase the connectedness of older Australians – to one another, families and carers, and to the broader community.
This programme aims to reimagine the role of technologies like AI, AR/VR and sensors which are critical in ensuring the sustainability of the sector. Our industry partners are driven by these challenges every day thus, the research undertaken in this programme will have great significance and impact.
3. AI Techniques for Emergency Management and Critical Infrastructure (RMIT led, Sydney Uni supported)
This programme will produce a cohort of graduates with much-needed skills in AI to support critical infrastructure and community safety. Some of the common AI techniques across the selected projects are:
- computer vision -creating 3D reconstructions from 2D images of interior designs and detecting potential hazards and threats via surveillance videos
- agent-based modelling and simulation (ABMS) – which is becoming increasingly popular to model and simulate the management of disaster events such as floods and bushfires and
- digital twin technology – which involves complementary approaches of digitising models of infrastructure, people, and business processes and one of the projects investigates the integration of all three aspects.
4. Applied AI and Digital Innovation for Defence and Aerospace Applications (RMIT led, Charles Darwin supported)
This programme will deliver graduates capable of tackling Australia’s pressing current and future challenges in the defence and aerospace sectors through the application of AI and digital technologies. It will expand opportunities for diverse communities of students and create workers skilled in emerging technologies, including applied AI, digital twins and threads, machine learning, robotics, cyber security, and modern manufacturing.
This interdisciplinary program builds on the strategic partnership between RMIT University and Charles Darwin University (CDU), which will see the creation of a joint Aerospace and Defence Industries 4.0 TestLab in the Northern Territory.
5. AI for Clean Energy and Sustainability (Monash led, RMIT supported)
Delivering clean and sustainable energy and enabling energy transition is a global challenge. AI is expected to play a significant role in this transition by enabling more effective models and tools, accurately predicting reliable supply, optimising maintenance and operations, making smarter decisions and assessing risk.
This programme will focus on the Recycling and Clean Energy National Manufacturing Priority to teach a variety of HDR students innovative AI technologies driven by these industry priorities.
6. Central Bank Digital Currency – Infrastructure & Applications (Macquarie led, RMIT and UTS supported)
A Central Bank Digital Currency (CBDC) would be a new digital form of money issued by the Reserve Bank. It could be designed for retail or general use, like a digital version of banknotes.
The development and deployment of robust, efficient and trusted CBDC requires the design, engineering, proving and integration of a suite of technologies including blockchain, security and privacy-preserving solutions and regtech (surveillance, alerting and compliance) technologies and the skilled graduates to help implement them.
7. Artificial Intelligence of Things Empowering Industrial Digital Twin (La Trobe led, RMIT and Swinburne supported)
This programme will develop new digital twin solutions powered by a combination of AI and the Internet of Things (IoT), to meet the needs of industry partners, seeking improved productivity and reduced maintenance and management costs.
By representing physical objects digitally, digital twins can harness real-time IoT data and optimise performance using AI and data analytics. Several research and industry challenges will be addressed, including accurate 3D modelling, digital twin model optimisation, reliable connectivity between the physical world and the digital world, and edge AI models.