Echelon Singapore, organized annually by e27, is Southeast Asia’s leading conference for tech and startups. The event brings together startups, investors, and businesses, creating a vibrant platform for collaboration, innovation, and growth. With its engaging keynotes, thought-provoking panels, and an energetic exhibition space, Echelon fosters connections, showcases transformative technologies, and drives partnerships that propel the APAC ecosystem forward.

As we prepare for Echelon 2025, we are looking back at some of our partners who have made this event a resounding success. One of our partners is Josys. Josys is a trailblazer in IT management solutions, offering businesses an all-in-one platform to streamline their operations, enhance productivity, and reduce SaaS management complexity. Josys provides a unified SaaS management platform that centralizes IT processes, automates workflows, and enforces compliance policies. It enables companies to focus on innovation rather than administrative hurdles. Their commitment to simplifying IT for growing organizations aligns perfectly with Echelon’s mission of empowering the startup ecosystem.

Cutting edge SaaS management solutions at Echelon X

At Echelon X in Singapore, Josys made a notable impact by presenting its cutting-edge device and SaaS management solution. The team introduced visitors to its SaaS Management platform. The platform automates traditionally manual IT operations, optimizes operational costs, and enhances SaaS security. This presence allowed Josys to connect with tech leaders, startups, and potential clients. As a result, it highlighted its role in supporting businesses through scalable IT solutions.

Josys’ active role at Echelon X extends beyond its own growth. Its focus on SME digital transformation aligns closely with e27’s mission to support and connect startups in the region. By sharing its expertise, Josys not only showcased its platform but also contributed to the broader ecosystem by encouraging technology adoption and collaboration among SMEs and startups.

Also read: e27 and Prudence Foundation champion disaster tech innovation through strategic partnerships

Panel spotlight: Tech adoption of SMEs in SEA

One of the highlights of Josys’ participation was the panel session titled “Tech Adoption of SMEs in SEA – and the Way Forward,” featuring Josys’ APAC Regional Director, Iskandar Ahmat. The session explored strategies to overcome barriers faced by small and medium-sized enterprises (SMEs) in adopting new technologies. Ahmat shared insights on how Josys is helping SMEs streamline IT management, addressing challenges like cost, complexity, and security. By participating alongside other thought leaders such as Esevel, Zoho, and Eazy Digital, Josys reinforced its commitment to fostering technological innovation for SMEs in Southeast Asia.

Through its presence at Echelon X, Josys positioned itself as a thought leader in IT management and SaaS innovation. The discussions led by its team emphasized the need for accessible, cost-effective solutions. These solutions are tailored to the unique challenges of Southeast Asia’s business environment. This aligns with e27’s goals of empowering startups with the tools and knowledge needed to thrive in a competitive market.

Also read: e27 and Gateway of Asia transforming Asia’s startup landscape from Singapore to Manila

e27’s commitment to partners and the community

Josys’ participation provided valuable networking opportunities, strengthening its relationships with investors, partners, and fellow innovators. By engaging with the E27 community, Josys showcased its commitment to driving sustainable growth and contributing to the development of Asia’s tech landscape. This multifaceted involvement at Echelon X reflects Josys’ strategic vision of empowering businesses to embrace digital transformation while fostering a collaborative ecosystem in Southeast Asia.

By partnering with e27, Josys has been able to connect with the tech leaders, innovators, and decision-makers who attend Echelon, showcasing how their solutions can address the unique challenges faced by startups and enterprises. Together, Josys and e27 have created opportunities for businesses to adopt smarter IT strategies, driving growth and efficiency in Southeast Asia’s fast-evolving tech landscape.

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This article is produced by e27

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On Friday, EQT Private Capital Asia and PropertyGuru Group Limited announced the completion of the acquisition of the property tech (proptech) company by BPEA Private Equity Fund VIII for US$6.70 per share in cash in a transaction that values PropertyGuru at an equity value of approximately US$1.1 billion.

In connection with the closing, PropertyGuru’s common shares ceased trading before the market open on December 13 and the company has been delisted from the New York Stock Exchange.

Following this move, PropertyGuru will operate as a privately held company. According to a statement, following the merger through January 12, 2025, each unexercised and outstanding warrant will be, upon valid exercise, exchangeable for US$0.7526 per warrant.

Hari V. Krishnan, Chief Executive Officer, PropertyGuru Group, said, “We are pleased to announce the successful completion of this transaction and we welcome EQT to PropertyGuru. Over the past seventeen years, our growth has been enabled by strong partnerships with our shareholders, led by TPG and KKR. On behalf of everyone at PropertyGuru, I want to thank them for their support and I am proud that we have delivered a solid financial exit for our long-term investors.”

Also Read: EQT Private Capital Asia to acquire PropertyGuru for US$1.1B

“On behalf of our group leadership team, I thank our Gurus for their hard work and the wonderful business we have built together, and our customers and partners for their continued trust and partnership. EQT shares our commitment to our continued sustainable growth, and we look forward to working with them towards our Group’s vision to power, communities to live, work and thrive in tomorrow’s cities.”

Founded in 2007 and headquartered in Singapore, PropertyGuru is one of the notable proptech platforms in Southeast Asia (SEA). The company said that it connects over 31 million property seekers with more than 50,000 agents across Singapore, Malaysia, Thailand and Vietnam each month.

Its services included extensive real estate listings, data-driven insights, and mortgage solutions such as PropertyGuru Finance and enterprise client solutions under PropertyGuru for Business.

According to a statement, EQT’s investment in PropertyGuru aims to support the company’s ongoing progress by providing resources and expertise to accelerate technology development, expand market reach, and improve operational efficiency.

“Leveraging its experience with leaders in the digital marketplace and real estate classifieds sectors –-including companies such as Idealista and Casa.it-– EQT seeks to advance PropertyGuru’s strategic initiatives, strengthen its position in SEA’s proptech sector, and drive growth in dynamic markets influenced by urbanisation, middle-class expansion, and digitalisation.”

The news about this acquisition was first announced in August this year.

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Image Credit: PropertyGuru

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The rapid evolution of Generative AI (GenAI) technologies presents a transformative opportunity for the ASEAN region. Governments across these nations recognise GenAI’s potential to propel economic growth and maintain global competitiveness, which is reflected in their initiatives to drive innovation in the sector. 

The ASEAN GenAI Startup Report 2024 highlights the critical role that public policy and government initiatives play in fostering a thriving GenAI ecosystem. By examining the strategies and actions of ASEAN governments, we can better understand how public support shapes the region’s future of technology and innovation.

Government-led initiatives boosting GenAI development

Across ASEAN, government-led initiatives are proving instrumental in removing barriers to innovation and providing the necessary support for GenAI startups to flourish. These initiatives range from financial incentives to regulatory frameworks and educational programs, each tailored to accelerate the adoption and development of GenAI technologies.

• Financial and regulatory support

Many ASEAN governments have implemented grants, subsidies, and co-investment funds to lower the entry barriers for new GenAI ventures. For example, Singapore’s Productivity Solutions Grant (PSG) aids small and medium-sized enterprises (SMEs) adopt IT solutions and equipment, including GenAI technologies. Meanwhile, the National Multimodal LLM Programme, also in Singapore, commits substantial resources to develop language models that cater to the region’s diverse linguistic landscape.

In Indonesia, the Ministry of Communications and Informatics (KOMINFO) is actively involved in promoting GenAI through development programs that align with the country’s digital economy strategy. These programs provide funding and help create a regulatory environment encouraging experimentation and innovation while ensuring data privacy and security.

• Education and workforce development

Understanding the need for a skilled workforce to drive GenAI innovation, ASEAN governments also focus on education and training programs. For instance, Vietnam’s collaboration with Google offers 40,000 AI and machine learning courses scholarships, aiming to build a highly skilled workforce adept at leveraging GenAI technologies.

Also Read: Big Tech and ASEAN startups: Navigating the friend-foe dynamic in the GenAI era

Similarly, the AI Verify Foundation in Singapore facilitates the development of trustworthy AI solutions and educates the AI workforce on ethical standards and best practices. This initiative helps ensure that the GenAI solutions developed are innovative, responsible, and aligned with global standards.

• Infrastructure development

Some ASEAN governments are investing in state-of-the-art digital infrastructure to support GenAI startups’ heavy computational demands. Establishing dedicated AI parks and innovation hubs in Malaysia and Thailand, where startups can access high-speed internet and cloud computing resources, exemplifies this trend. These hubs serve as centres of excellence that foster collaboration between academia, industry, and government, driving the development of advanced GenAI applications.

Challenges and opportunities for government intervention

While ASEAN governments are proactive in their support for GenAI, challenges remain. Regulatory discrepancies across borders can hinder the seamless operation of startups that wish to scale regionally. Additionally, there is an ongoing need to balance innovation with concerns around privacy, security, and ethical implications of AI.

To address these challenges, governments have a growing opportunity to harmonise regulations and create a unified digital market for GenAI products and services. Such efforts would enhance market access and ensure that ethical standards and consumer protections are uniformly enforced across the region.

The role of government in scaling the GenAI ecosystem in ASEAN is multifaceted and vital. By providing financial support, developing regulatory frameworks, investing in education, and building infrastructure, ASEAN governments are laying the groundwork for a robust GenAI landscape. These efforts are crucial for nurturing innovation, attracting investment, and ensuring the ASEAN region remains at the forefront of the global technology race.

As the GenAI sector evolves, ongoing collaboration between the public and private sectors will be essential. Governments that continue to adapt their strategies to support the dynamic needs of GenAI startups will foster national innovation and contribute to regional and global technological advancements. 

The future of GenAI in ASEAN looks promising, with government initiatives playing a pivotal role in shaping its trajectory towards a more innovative and economically vibrant region.

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This article is the sixth in a series from the ASEAN GenAI Startup Report 2024. GenAI Fund invests in early-stage GenAI startups across Southeast Asia, focusing on growth strategies and exit opportunities. Stay updated with new articles in this series by subscribing and following us on our channels. For more articles, visit: https://e27.co/category/reports/.

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Following its participation in the UOB FinLab’s GreenTech Accelerator 2024 programme, Circular Unite has secured pilot projects with UOB and its corporate partners. According to Emmanual Tay, CEO/Co-Founder at Circular Unite, this helps to validate the company’s solutions.

“For green tech in general, there is going to be a huge, rapid growth, especially in Southeast Asia (SEA) as more regulations trickled down from Europe and the US,” he tells e27.

“Many of these companies operating within SEA are part of the supply chain of larger entities from Europe and the US; that is where we will see more demand for solutions like ours.”

With a team based mostly in Singapore, Circular Unite helps businesses transition towards sustainability by focusing on the waste and recyclables they generate.

In this interview, Tay explains the unique challenges faced by the company in promoting its green tech solutions and how it is tackling them.

Also Read: Funding the green transition: Southeast Asia’s climate tech leaders of 2024

The following is an edited excerpt of the conversation.

What is the problem that your company aims to tackle with your solution, and why is your solution better than your alternative?

Our vision is to accelerate businesses’ transition towards profitable sustainability. We do that by empowering them with a data-driven solution that helps transform their waste and recycling activities into profitable and sustainable practices.

So, the problem that we are tackling in this space is that we address the lack of digitalisation in the waste management and recycling space, basically the fermented nature of the recycling processes and operations across various industries and various countries and regions as well.

Traditionally, waste and recycling processes are very manual and low-tech in nature. They are prone to human error and lack transparency and traceability, making it very difficult for businesses to track and report their waste streams accurately. It becomes increasingly evident that no such data needs to be transparent and that there needs to be a trust process in these predominantly traditional activities.

As a green tech startup operating in SEA, what challenges do you face in promoting this solution and convincing businesses that it is something they should be using?

Green tech, in general, is a relatively new space. In the past, there was not much focus on this area. But now, more than ever, there are many solutions [available in the market] because of regulations and compliance, as well as push from consumers and stakeholders.

Also Read: How to navigate the investment opportunity in climate tech sector

In our context in the waste management and recycling business, many companies are still relying on traditional and manual processes, and some of them may be hesitant to adopt new technologies. So, what we do is that for a lot of the companies, when we first started, we had to come up with proof-of-concepts (POCs) and pilot projects.

The POC and pilot projects demonstrate to them the actual ROI and the efficiency gained through all these data.

The next [challenge] will be, again, with waste and recycling being a very traditional business, there is not much data available for us to analyse. So, when I say my platform helps analyse waste data, we need data to begin with, right? We overcome this by helping our clients integrate some of these sensors into their activities.

This is a modular and scalable platform that can be easily connected to various equipment and systems already in place. Whatever infrastructure they have, our platform sits on top of it to help sensorise and provide that layer of data collection and analysis.

Lastly, there needs to be a lot of education and awareness so that people can understand this concept of waste digitalisation.

What are the barriers to your clients’ adoption of this technology?

ROI and cost-benefit analysis are things that they look at very often. So, with a new technology like this, it is very hard for them to compare and see, “Oh, how would adopting a solution like this help me save money or increase my manpower?”

Yes, there are companies that want to be the first to move, the first to try new things, but those are rare.

Also Read: How to navigate the investment opportunity in climate tech sector

What kind of organisations most of your clients are?

Currently, most of my clients are in the hospitality space: hotels, shopping malls, retail spaces, and manufacturers.

All industries generate waste and recyclables, so the question is which industry has the most problems managing them.

We also have a lot of inquiries from the healthcare and cultural industry as well.

What are your big plans for next year?

Partnerships will be the centre of our growth strategy.

We do have ongoing projects regarding scalability, and our plan is to scale our services and solutions not just in Singapore but also in Malaysia and Thailand.

In Malaysia, we will work with property owners like Sunway to help scale up our solution. In Thailand, we will work with the Central Group as well as some key manufacturers within the country. Then, in Singapore, we will continue to work with our hospitality stakeholders and onboard more hotel chains into this space.

We also have three ongoing projects with UOB FinLab GTA and are with the BSI Innovation Accelerator.

We are also building what we call the Circular Knowledge Library. It basically aggregates benchmarks, data, best practices, and industry know-how from various sectors and countries across different companies and industries.

Also Read: The Mills Fabrica aims to transform agrifood, textile industries through its climate tech investments

Currently, there is no unified platform that helps share or aggregate this information across various companies and industries, and we want to be the first in the market to have this.

Together with our AI capability, we will harness information from this Knowledge Library to provide alerts and customisable recommendations for different clients. This will allow them to benchmark their current performance.

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Image Credit: Circular Unite

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Crypto is much bigger than finances.

While the world is infatuated with crypto coins, chains, and gains, the revolutionary aspects of the new iteration of the Internet (Web3) are overlooked. Web3’s foundational open-source technology will change the world, not just cryptocurrencies. 

The focus of the industry, instead, needs to shift to open-source technology and its potential to decentralise not just the Internet but the global economy, financial markets and humanity. 

Open-source code and protocols aren’t just the future of the internet; it’s the future of evolution, opening up participation for anyone, anywhere. It’s the democratisation of success, where people in Silicon Valley and Singapore have equal opportunities. 

Web3 holds the key to unlocking opportunity in emerging markets, but significant challenges remain. In developing countries, there’s limited access to financial resources, infrastructure and internet issues, and a lack of funding and entrepreneurship spaces. For example, India had more internet blackouts in seven years than all other countries combined. 

These challenges hinder individuals in emerging markets to fully participate in the digital economy, further exacerbating inequalities and perpetuating marginalisation.

Bridging the digital divide

The transformative potential of open-source software in emerging markets is part of the Web3 narrative that the mainstream misses. By empowering individuals globally, open-source code extends innovation beyond traditional tech hubs, ensuring Web3 serves diverse, distributed audiences and spurs new use cases worldwide. 

Open-source code doesn’t discriminate or centralise capture. It creates a meritocratic environment accessible to everyone, where talent and creativity drive progress and innovation – not just in the Bay Area or tech hubs. 

For example, some resources list the top Web3 open-source projects that welcome contributors from around the world. 

With 1.1 per cent of people owning 45.8 per cent of the world’s economic wealth, open-source technology in the new iteration of the internet (Web3) is a pertinent social issue, too. 

India is a good example of how Web3 open-source initiatives are making a tangible impact and its possibility to drive future positive changes. Web3’s impact on India’s economy is predicted to hit US$1.1 trillion by 2032. In comparison, the US Web3 market forecast is US$69.24 billion in 2032. 

Also Read: The future of recruitment in Web3 era

Open-source software has opened up various use cases for Web3 in India, particularly where fraud and mistrust are rampant. The Delhi Forensic Science Laboratory (DFSL) and the Delhi Police integrated blockchain technology into their e-forensic application, creating an immutable and transparent record of the chain of custody for evidence. 

The release of the Indian government’s National Strategy on Blockchain has primed the country with the largest population in the world to embrace Web3 technologies.

A change of policies and perspective

The decentralised nature of open-source tech is challenging for governments and institutions, especially in Western countries. It requires conviction in crypto and a willingness to embrace a changing world. Most nations have inadequate regulation, further solidifying the need for open-source software for cross-border collaboration and innovation. 

The regions and jurisdictions that nurture this tech will become the innovation hubs of the future — with access to top talent, lower overheads and the conditions to redefine labor dynamics. For example, via Decentralised Autonomous Organisations (DAOs,) freelancers or completely anonymous workers. 

Indonesia stands out as a region leading digital transformation efforts, with its digital economy projected to reach US$130 billion by 2025, with a particular focus on blockchain’s potential. For the past several years it has maintained a status as one of the main blockchain markets in Southeast Asia.

This commitment extends to open-source technology, supported by initiatives like Indonesia Go Open Source (IGOS), a government-backed program promoting adoption to drive innovation and reduce software costs. Additionally, Asosiasi Teknologi Informasi & Open Source (ATIOS) fosters collaboration and development within Indonesia’s open-source ecosystem.

Just this year Indonesia’s Financial Services Authority (OKJ) introduced an updated roadmap for 2024-2028 that strengthens its position to support technological innovation, blockchain and digital finance development. The road map also ensures greater digital and financial safety for those involved in the space and improves transparency and efficiency across sectors. 

Also Read: How gaming innovations in Web3 are rewriting entrepreneurial playbooks

Compared to the more fragmented regulatory landscape in the US, Indonesia’s unified approach underscores its commitment to establishing a robust digital and open-source ecosystem, providing further evidence for the need for better policy and regulatory frameworks.

Open source, opening more doors

As with all technologies, it’s not a fix-all. Open source has criticisms and concerns such as reliability, liability, and support. However, there’s no doubting the transformative power of open-source technology in driving inclusivity and innovation in emerging markets. 

To build a truly equitable digital future, the industry must prioritise and protect open-source development. By investing in these initiatives, we can unlock opportunities for innovation, inclusivity and global economic growth.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

Join us on Instagram, Facebook, X, and LinkedIn to stay connected.

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Job hopping has become a popular career strategy among Millennials and Gen Z, who are drawn to the idea of rapid progression and diverse experiences across multiple companies. In contrast, traditional internal mobility programs, long established by Fortune 500 companies, offer structured role rotations, leadership training, and paths to advancement.

With rapid technological changes driving efficiency—and, in turn, more layoffs—many employees are focusing on self-directed career mobility to stay relevant and secure. Below, we’ll explore the pros and cons of each approach and provide practical strategies for both employers and employees.

Job hopping as a path to career mobility

Pros

• Broader Skillset and Learning Opportunities: By switching roles and industries, young professionals can build a more diverse skill set faster than through internal rotations alone. This is especially valuable in dynamic fields like AI, Fintech, and Web3, where staying updated on emerging technologies is essential to career progression. Job hopping enables them to engage with a variety of projects, which promotes rapid adaptability.
• Higher Earning Potential: External moves often come with significant salary increases and better benefits, offering a straightforward way for employees to boost their compensation without waiting for internal promotions. In competitive job markets, financial growth is a strong motivator, especially for younger workers facing high living costs.

Cons

• Lack of organisational depth: Moving frequently can limit an individual’s ability to gain a deep understanding of any single company’s culture, strategy, and operations. Traditional organisations emphasise the value of comprehensive internal knowledge, which is often essential for long-term leadership roles. Job hopping may sacrifice this depth for breadth, which can impact an employee’s trajectory toward senior roles.
• Potential for instability: While job hopping can be advantageous in the short term, it can signal a lack of commitment to potential future employers. In economic downturns, job hoppers may be at a disadvantage compared to employees with longer tenures, as they are sometimes perceived as less reliable. This instability can be a drawback for those seeking greater career resilience.

Also Read: Cultural intelligence (CQ): The key to unlocking success in global workspaces

Advantages of traditional internal mobility programs

Pros

• Structured growth and organisational knowledge: Internal mobility programs, particularly those tailored for High Potential (HIPO) employees, offer a clear pathway for progression within the company. These programs emphasise cross-functional rotations, leadership development, and mentorship, helping employees build deep organisational knowledge and long-term relationships that enhance their career within the company.
• Long-term stability and loyalty: These programs foster loyalty and offer stability, aligning employees’ career goals with the company’s strategic direction. Employees who grow within an organisation are often more invested in its success, which can lead to a more secure career path. This stability is especially appealing to those who prioritise long-term career growth over rapid role changes.

Cons

• Slower advancement and limited flexibility: Internal programs can sometimes lack the agility young professionals seek, as they tend to operate within established promotion cycles and budgets. This can lead to a slower pace of career progression compared to job hopping. Additionally, these programs may limit exposure to new skills and areas of expertise outside the employee’s immediate department or function.
• Vulnerability to technological disruptions: As companies implement AI and automation, roles are becoming more streamlined, often resulting in layoffs. Even loyal employees in internal mobility programs may face job insecurity, as companies increasingly prioritise efficiency. This reality pushes some employees to prioritise self-driven career mobility, including job hopping, to mitigate the risk of redundancy.

Strategies for employers: Retaining key talent

• Create flexible, project-based mobility options: By offering short-term project roles across departments, companies can provide diverse learning opportunities without requiring a complete role change. Project-based work allows employees to experience new areas of the business, addressing the desire for variety while retaining talent within the organisation.
• Invest in continuous skill development: Implement programs that emphasise both technical and soft skills training, encouraging employees to upskill in areas aligned with company goals. Companies can provide training on emerging technologies, leadership, and project management, which can help employees feel valued and foster a culture of learning.
• Develop clear and accelerated career pathways: Introduce merit-based fast-track programs for high performers that provide recognition, bonuses, and leadership roles as they demonstrate potential. Employees will be more likely to remain engaged and committed when they see tangible growth opportunities within the company.
• Enhance communication on career progression: Ensure that managers hold regular one-on-one discussions with employees about their career goals and available opportunities. Transparency about internal mobility options and promotion criteria can help employees feel empowered to take charge of their growth without needing to look elsewhere.

Also Read: 5 lucrative strategies Gen Z investors use to empower themselves financially

Strategies for employees: Achieving career goals within large organisations

• Seek out cross-functional projects and assignments: Request stretch assignments or temporary roles on cross-functional teams to broaden your skill set without changing departments. Engaging in these projects can provide valuable exposure to other parts of the business and build connections that support future growth.
• Focus on skills, not just titles: Prioritise developing skills that align with industry trends and the company’s goals. Stay informed about key technologies and initiatives in your field and pursue relevant training. Skills-based growth helps you stay adaptable and positions you for advancement, whether or not it’s tied to a specific title.
• Proactively manage your career path: Communicate your career aspirations to your manager and seek mentors who can guide you in navigating internal opportunities. Express interest in lateral moves or learning new skills, demonstrating that you’re invested in growth within the company.
• Take advantage of company resources: Many large organisations offer learning resources such as online courses, workshops, and conference sponsorships. Maximise these opportunities to keep your skills relevant and demonstrate commitment to ongoing development. This approach ensures that you are continually progressing, even without external moves.

Building a balanced approach to career mobility

While job hopping offers rapid financial growth and skill diversification, traditional internal programs provide stability, long-term growth, and a deep understanding of organisational dynamics.

For companies, the challenge is to make internal mobility programs more responsive to the needs of a younger workforce, offering flexibility, variety, and timely progression. For employees, a focus on skill development, proactive career management, and engagement in cross-functional opportunities can enhance career growth within a single organisation.

In today’s fast-evolving job market, a balanced approach benefits both employees and employers, supporting agility, loyalty, and the continuous development of tomorrow’s leaders.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

Join us on Instagram, Facebook, X, and LinkedIn to stay connected.

Image credit: Dall-E

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In the ever-evolving landscape of technological advancements, Asia stands at the forefront, pioneering new and transformative technologies. One of the most significant areas of innovation is genetics AI—a fusion of artificial intelligence and genetics research.

This groundbreaking convergence is revolutionising the continent’s healthcare, agriculture, and bioinformatics. From personalised medicine to sustainable agriculture, genetics AI is shaping a future where technology and biology work hand in hand to solve some of humanity’s most pressing challenges.

The genesis of genetics AI

Genetics, the study of genes and heredity, has been revolutionised by advancements in AI. AI’s ability to analyse vast amounts of data with high precision has enabled researchers to uncover complex genetic patterns and correlations that were previously elusive. This synergy is particularly potent in fields like personalised medicine, agricultural biotechnology, and evolutionary biology.

The integration of AI in genetics is not a recent phenomenon. However, its rapid development and application in Asia have marked a new era. Countries like China, Japan, South Korea, and Singapore have heavily invested in AI research and development, recognising its potential to unlock new genetics insights.

In genetics, AI algorithms can process vast amounts of data far more efficiently than traditional methods. This capability is crucial, considering the complexity of genetics information. Genomics, the study of an organism’s complete set of DNA, involves analysing millions of base pairs, identifying mutations, and understanding gene functions. AI’s ability to handle and interpret this data is accelerating discoveries and applications in genetics.

The rise of genetics AI in Asia

Asia’s rapid technological advancements and substantial investments in scientific research have created a fertile ground for innovations in genetics and AI. Here are some leading countries in the charge, each contributing uniquely to this emerging field.

China: A powerhouse of genetics research

China’s significant investments in genetics and AI, exemplified by companies like BGI Group, have propelled it to the forefront of global biotechnology. With extensive biobanks and AI-driven analytics, China is advancing the understanding of genetics diseases and developing targeted therapies. AI’s role in machine learning and data processing enhances genetics research, leading to precision medicine where treatments are tailored to individual genetics profiles.

Japan: Innovating at the intersection of robotics and genetics

Japan leverages its expertise in robotics and AI to enhance genetics research. AI accelerates gene editing processes and optimises the differentiation of stem cells for regenerative medicine. This approach has significant implications for treating spinal cord injuries and degenerative diseases. AI algorithms predicting CRISPR outcomes exemplify Japan’s innovative integration of technology and genetics.

Also Read: Is generative AI the game-changer for productivity?

South Korea: Bridging genomics and AI

South Korea’s advanced digital infrastructure and AI research drive genetics AI innovations. The country’s extensive health data repositories enable AI to uncover genetics disease insights and develop new diagnostics and therapies. South Korea also leads in AI-driven drug discovery, using genetics data to identify drug targets and accelerate the development process.

Singapore: A hub for biomedical innovation

Singapore’s strategic investments in biomedical research position it as a key player in genetics AI. Initiatives like the National Precision Medicine Program utilise AI to analyse genetics data and identify disease biomarkers. Collaborative efforts between academia, industry, and government drive innovative solutions in cancer genomics, infectious diseases, and aging, ensuring rapid application of scientific discoveries to clinical practice.

India: Advancing agricultural biotechnology

India is utilising genetics AI to revolutionise agriculture. AI-driven gentics research develops high-yield, climate-resilient crop varieties, enhancing food security. This approach addresses challenges posed by climate change and population growth, ensuring sustainable agricultural practices and improved crop yields.

Taiwan: Leading in precision medicine

Taiwan’s focus on precision medicine integrates AI with genetics research to develop personalised treatments. AI analyses genetics data to predict disease risk and guide preventive measures. Taiwan’s healthcare initiatives aim to provide tailored therapies based on individual genetics profiles, improving patient outcomes and reducing healthcare costs.

Applications of genetics AI in Healthcare

The applications of genetics AI in healthcare are vast and transformative. From early disease detection to personalised treatment plans, AI-driven genetics research is revolutionising medicine.

Early disease detection

AI algorithms can analyse genetics data to predict the risk of hereditary diseases. By identifying genetics markers associated with conditions like cancer, diabetes, and cardiovascular diseases, genetics AI enables early detection and intervention. This proactive approach can significantly improve patient outcomes and reduce healthcare costs.

Personalised medicine

One of the most promising applications of genetics AI is personalised medicine. By analysing an individual’s genetics profile, AI can recommend tailored treatment plans that are more effective and have fewer side effects. This approach is particularly beneficial for patients with complex conditions like cancer, where traditional treatments may not be effective.

Drug development

Genetics AI is also transforming drug development. AI-driven analysis of genetics data can identify potential drug targets and predict how patients will respond to new treatments. This accelerates the drug development process and increases the likelihood of success in clinical trials.

Also Read: Cybersecurity in the AI age: How startups can stay ahead

Challenges and ethical considerations

While the potential of genetics AI is immense, several challenges and ethical considerations must be addressed to ensure its responsible and equitable use.

Data privacy and security

The collection and analysis of genetics data raise significant privacy and security concerns. Ensuring that genetics information is stored securely and used ethically is paramount. Governments and organisations must establish robust data protection frameworks to safeguard individuals’ genetics data.

Ethical implications

The use of fenetics AI also raises ethical questions related to genetics discrimination and informed consent. It is crucial to develop guidelines that prevent the misuse of genetics information and ensure that individuals are fully informed about how their data will be used.

Accessibility and equity

Ensuring equitable access to the benefits of genetics AI is another challenge. There is a risk that advanced genetics treatments may only be accessible to wealthy individuals or countries, exacerbating existing health disparities. Efforts must be made to make these technologies affordable and accessible to all.

Future prospects: A new era of innovation

The future of genetics AI in Asia looks promising, with ongoing research and development poised to unlock even greater potential. As technology continues to evolve, so too will the applications of genetics AI. Collaborative efforts between countries, institutions, and private companies are crucial for advancing this field and ensuring that its benefits are realised across the continent.

In healthcare, the continued integration of AI and genetics will lead to more personalised and effective treatments. Advances in genomics will enable early detection and prevention of diseases, improving healthcare outcomes for millions of people.

In agriculture, the development of AI-driven genetics technologies will enhance food security and sustainability. By creating crops that are more resilient and nutritious, Asia can address the challenges of climate change and ensure a stable food supply for its growing population.

In bioinformatics, the fusion of AI and genetics will lead to groundbreaking discoveries in biology and medicine. By analysing genetics data on an unprecedented scale, researchers will uncover new insights into human biology, leading to the development of innovative therapies and diagnostics.

 Conclusion

Asia’s pioneering efforts in genetics AI are shaping the future of technology, healthcare, and genetics research. The region’s advancements in precision medicine, genetics editing, and genomic research are setting new benchmarks for the global scientific community. By leveraging AI to unlock the potential of genetics data, Asian countries are driving innovations that promise to transform healthcare and improve lives.

As the integration of AI in genetics continues to evolve, Asia’s leadership and commitment to ethical practices will play a crucial role in realising the full potential of this transformative technology. The future of genetics AI in Asia is bright, with ongoing advancements poised to revolutionise our understanding of genetics and usher in a new era of personalised medicine and genetics innovation.

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This article was first published on August 5, 2024

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Healthtech startups come in many forms. You have Electronic Health Record (EHR) platforms, at-home test kits and AI image analysis tools, to name a few. Spend enough time speaking with healthtech founders, though, and you will soon realise that no matter the sub-sector, most of them are playing towards the same endgame; to accumulate sufficient and sufficiently high-quality data to be of interest to major stakeholders of the healthcare ecosystem.

Data is the new oil, they say, and in the world of tech, drilling has been fueled by the twin forces of Venture Capital (VC) and the growing abundance of connected devices.

But how similar are oil and data, really? And what can their similarities and differences teach us, especially in the emerging healthtech sector in Southeast Asia, where valuations are rising but exits remain somewhat unproven?

Different machines, different strategies, different data

As when drilling for oil, the equipment itself is of paramount importance. Different acquisition methods will predispose startups to accumulate certain types of data.

Startups selling consumer-grade DNA tests, for example, might gather huge amounts of direct, first-party genetic data in a short period of time. But such data will also likely be episodic (from a single point in time), which is less appealing and useful to insurance and pharma companies compared to longitudinal data (from the same patient over a period of time).

Besides the data from analysing test kits, medical history is usually collected as part of the process. However, the information is usually self-reported by consumers through online surveys and, therefore, patchy and less reliable.

This is why some companies are starting to offer complementary services, like genetic counselling, that enable them to build longer-term, repeated patient interactions and acquire data from that same patient over time.

On the flip side, startups focusing on EHRs, especially in emerging markets, will likely struggle with their initial go-to-market. Driving EHR adoption can be challenging as it requires convincing entire clinics and/or hospitals to overhaul legacy systems and implement software to manage financial, clinical, and administrative operations.

Also Read: Traveloka ex-CMO’s healthtech startup Diri Care closes US$4.3M seed round

The raw data acquired, however, will likely be longitudinal and more reliable as they are collected from clinical tests done by the same patients rather than primarily self-reported. While the initial onboarding can be challenging, there are potential mitigants like easy onboarding for care settings trying to adopt an EHR for the first time and partnership agreements with data exclusivity terms.

Everyone has the same end goal of data aggregation, but there are different means of getting there. In the end, though, it all comes down to three attributes: breadth, depth, and exclusivity. As in, the breadth of the data set when it comes to population size and demographic diversity, the depth of each patient’s healthcare profile, and exclusivity in terms of access and ownership to more unique data.

The rig operators and rig operability

The second consideration is the human element. Who operates the rig has a huge impact on whether the machine is used to its full potential. We think about usability in two ways.

First, user experience encourages usage among trained medical staff. In theory, workflow software and diagnostic support algorithms can save physicians a lot of time through automation.

In reality, however, automation is not as useful if the number of conditions that can be identified and diagnosed by the algorithm is limited. For example, take an AI tool that helps diagnose lung cancer. Radiologists still have to spend the same amount of time examining each scan or X-ray to check for possible conditions that the AI can’t identify.

In the end, adopting these diagnostic tools can be challenging if the new technology doesn’t add much to the existing workflow of medical professionals.

Second, technology enables us to tap into lower-skilled resources. AI guidance is especially helpful in ultrasound, where operator skills can impact results. Unlike MRIs or X-rays, ultrasounds are taken using a wand held by an operator, who decides the angle and depth from which the recording is taken.

With AI-powered workflow software that can tell you whether the device is placed correctly and guide you step-by-step, even untrained staff that are unfamiliar with taking echos can use the machine. Such software can also produce high-quality and therapeutic-area-specific data, though access to and exclusivity to quality data at scale depends greatly on partnerships with medical institutions and providers.

These features are highly valuable, especially in rural areas in Southeast Asia cities that have limited access to specialised expertise and equipment. For healthtechs operating in this area, they would need to look at partnership agreements that allow them to continue to commercialise their algorithm, which was built based on borrowed data during the partnership.

The data refinery: From raw to useful

Data preparation is a key next step to ensure the final product can be useful to the acquirer. In this case, we’re talking about the big players in the healthcare ecosystem: large medtechs, clinical research organisations, pharmaceutical companies and insurers. Instead of raw data, they want their data sets cleaned, curated, and structured, ready to answer the questions they want to ask of it.

But how much are they willing to pay for that data? That depends as the potential use case for the data influences its premium in price. Exits have been few and far between, but some examples we’ve found include general EHR/claims data ranging from US$15 to US$50 per record and genomic data ranging from US$2,900 per record for general data to US$26,000 for oncology-focused data.

Also Read: How mental health startup Intellect’s founder catalysed his personal battle with anxiety

These examples are a good starting point for us to understand how and where premiums accrue across different data types. At first glance, we can see how genomic data is a hotter commodity than EHR data. Still, oncology-focused data sets are more in demand than less curated general data.

When data is not oil

Unlike crude which gets processed and separated, data becomes more valuable when amalgamated and layered on top of each other. Another point we should make is around the reusability of data and how it affects the price.

Simply put, reusability is largely determined by ownership rights and exclusivity. Who gets to mine the data? Who gets access to the mined data?

Although data wells are pretty much inexhaustible, different rigs mining from the same well over and over again commoditise the data extracted, resulting in lower prices.

At the other end of the spectrum, we can see that precision health companies that own and guard the gates to the genomic data that they harvest enjoy a frothy price premium. Ultimately, it’s about controlling the access to high-demand supply.

Putting it all together

Now, back to the overarching question, we discussed at the start: how does everything we’ve discussed translate to exits for healthtechs in Southeast Asia? While there’s no straightforward answer, we can start to piece together some rules of thumb on how we can think about it.

In order to reach the endgame of accumulating sufficient, and sufficiently high-quality data, healthtechs that accumulate data across the three buckets of breadth, depth, and exclusivity are surely heading in the right direction. Ultimately, however, we think that the key to healthtech exits will come down to breadth even as depth and exclusivity are table stakes.

Achieving regional breadth is likely the most challenging to accomplish out of the trifecta and, therefore, will be the biggest differentiator among healthtechs, especially in Southeast Asia, where there’s great cultural, infrastructural, and political diversity.

Whoever manages to build an oil rig that taps on the many wells across the region will stand a much better chance of getting the attention of these global healthcare giants.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic

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Image credit: Theodore Ng, Analyst at Integra Partners

This article was first published on September 13, 2022

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Artificial Intelligence (AI), heralded as a silver bullet solution, has rapidly permeated diverse sectors and the blockchain realm is no exception. Given the Asia-Pacific region’s concurrent leadership in AI development, it comes as no surprise that APAC will become a hotbed for innovative AI-blockchain hybrid solutions.

Despite widespread blockchain adoption in APAC, the level of engagement differs significantly. Vietnam stands out, particularly in fintech — with almost 90 per cent of Vietnamese individuals involved in decentralised finance. However, expertise in one technology does not translate to the mastery of another.

Blockchain enthusiasts may struggle with AI, and AI experts could find blockchain complex. In fact, despite Vietnam’s strong blockchain adoption, only 27 per cent of its organisations are fully prepared to deploy AI.

The varying stages of blockchain and AI development across APAC countries present a unique landscape for collaboration. These synergistic technologies are poised to drive transformative advancements, fostering greater efficiency, security, and transparency across various industries — from finance to supply chain management. As of now, the combined market for these technologies is projected to exceed US$703 million by 2025.

The cloud plays a pivotal role in this evolution, enabling businesses to develop decentralised, resilient blockchain networks capable of scaling to meet the demands of an expanding user base. Yet, challenges around scalability, regulatory compliance, and sustainability must be addressed to fully realise the potential AI-blockchain innovations.

AI’s transformative influence on blockchain

The decentralised nature of blockchain aligns seamlessly with AI’s growing need for autonomy. AI applications – especially those in collaborative industries like logistics, finance and manufacturing – benefit from distributed systems that enable real-time, secure data sharing across multiple entities.

Blockchain’s decentralised architecture enables seamless, secure data sharing between organisations without relying on a central authority, reducing the risk of single points of failure and ensuring AI systems remain resilient in multi-stakeholder environments.

The financial industry, which handles vast quantities of data, is a prime example of how AI and blockchain can be effectively combined. For instance, AI algorithms can detect fraud and money laundering on blockchain data, while blockchain ensures data security.

For startups, this integration presents an opportunity to compete with larger firms on a more level playing field. As startups leverage blockchain to enhance supply chains, they have begun to recognise the limitations of centralised systems. Although these systems initially offered cost efficiency and better visibility, challenges such as decision-making bottlenecks and reduced flexibility were also faced.

The result? Many are now seeking decentralised solutions that can provide greater adaptability and responsiveness. Blockchain’s decentralised, transparent structure empowers startups to streamline their supply chain management, ensuring improved quality control, traceability, and transparency through smart contracts.

Also Read: Strategies for effectively integrating AI into your organisation

With that, businesses are moving towards a future characterised by automation, transparency, and decentralised decision-making, reshaping traditional paradigms and fostering a more collaborative and innovative environment.

Potential pitfalls with AI-Blockchain integration

Despite the excitement around AI within the blockchain ecosystem, the path forward is riddled with challenges that must be addressed.

One of the most significant barriers to AI-blockchain integration is scalability. Blockchain networks, designed with security and decentralisation as their core features, are not optimised for high transaction throughput. When AI is introduced, particularly resource-intensive machine learning models and real-time data processing, the demands placed on the network increase exponentially. Blockchains are not optimised for frequent data writes and reads, a necessity for AI model training, updates, and optimisation.

Moreover, storing large datasets required by AI systems on blockchain can be inefficient and costly. These can lead to slower processing speeds, higher latency, and escalated operational costs, particularly in cloud-based environments where services are billed based on resource consumption.

Furthermore, with the regulatory landscape surrounding AI and blockchain still evolving, organisations struggle to ensure compliance with data protection laws and industry standards. This uncertainty can lead to reluctance in adopting these technologies, hindering innovation and slowing implementation. This is especially acute for startups operating in multiple countries and managing operations across different regions.

Sustainability concerns also loom large over the future of both AI and blockchain technologies, largely due to the substantial energy and data centre resources needed for their operation. In fact, by 2026, the combined energy usage  of AI and blockchain-powered cryptocurrencies could double to over 1,000 terawatt-hours (Twh), roughly equivalent to the annual electricity consumption of Japan. Addressing these sustainability issues is critical, not only to mitigate environmental impact but also to ensure the long-term viability of both technologies.

Building a strong foundation

Cloud-based blockchain solutions merge the decentralised, transparent, and immutable qualities of blockchain with the scalability and accessibility of cloud computing.

Also Read: Data driven healing: The potential of analytics and AI in advancing mental health

The availability of hybrid and multi-cloud options play a critical role in developing blockchain infrastructure, enabling interoperability and decentralisation. They also address data residency concerns for organisations operating across multiple jurisdictions by storing sensitive data within designated geographic regions, minimising the risk of data breaches and regulatory non-compliance.

This must be complemented with high-performance, purpose-built, dedicated servers like bare-metal servers. Unlike virtualised or shared cloud environments, bare-metal servers provide the raw power and memory capacity to ensure optimal performance — crucial for blockchain’s heavy transaction loads, large-scale data storage, and complex consensus mechanisms. For instance, bare-metal servers can be tailored to optimise Graphics Processing Units (GPUs) for AI algorithms used in conjunction with blockchain for predictive analytics and fraud detection.

Given the data-heavy nature of blockchain networks, cost transparency will be vital for the long-term sustainability of blockchain-based cloud services. Businesses which prioritise maximising uptime and cost-efficiency need more transparent pricing models to manage costs effectively. By adopting affordable and fair cloud services, startups can effectively maintain their exchange infrastructure and focus on core business activities.

Lastly, businesses should also prioritise selecting cloud vendors that integrate sustainability into their operations. Choosing cloud vendors with green data centres which balance power efficiency and scalability while reducing environmental impact will be essential.

As AI-blockchain technologies gain traction in APAC, it will be crucial for blockchain businesses to implement robust strategies to scale their networks and deliver reliable, secure services. Fortifying transparent partnerships between blockchain businesses and cloud service providers will be instrumental in propelling the region towards innovation, transparency and trust.

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In an era where Artificial Intelligence (AI) permeates through every facet of our lives, its impact on the creative sectors has become a focal point of both enthusiasm and debate. As a fervent advocate for the metaverse, I find myself deeply entrenched in the fascinating process of creating virtual universes with AI that cater to the imaginative whims of our clients.

The dialogue surrounding AI’s role in creativity and artistic production is vibrant and multifaceted. Within this context, my journey as a startup co-founder aimed at democratising metaverse creation has been both challenging and enlightening.

Our platform leverages design templates to facilitate the seamless deployment of metaverse environments, aiming to inspire a significant increase in their unique creations. However, the preference among numerous enterprises and brands for custom-tailored metaverse designs that reflect their distinct visions and needs has been a consistent trend.

Navigating challenges with AI innovations

Our ambition to scale and expand rapidly is met with several challenges, primarily centred around the visualisation and design process of metaverse concepts:

• Visualisation hurdles: The initial obstacle is the clients’ inability to fully grasp the envisioned metaverse design through mood boards alone.
• Time-intensive modelling: This leads our skilled 3D modellers to undertake the time-consuming task of creating preliminary 3D drafts for each proposal.
• Iterative design process: Finalising a metaverse project often requires extensive collaboration with the client, involving multiple rounds of design revisions.

The incorporation of AI in our design process, particularly through the use of tools like Dall-E, Midjourney, and Stable Diffusion, has revolutionised the speed at which we can produce metaverse design proposals. This technological advancement has not only doubled our proposal generation speed but has also empowered our sales team to use AI to create visual designs, significantly enhancing our sales conversion rates.

Also Read: Rewriting the creation process of ad creatives using generative AI

The question arises: does the advent of AI spell the demise of human creativity in design? Far from it. AI acts not as a replacement but as a catalyst that amplifies the creative process. The initial spark of creativity continues to originate from the human mind, with AI serving as a tool that brings these ideas to fruition more vividly and rapidly.

This synergy underscores the enduring value of human imagination, guiding AI towards generating outcomes that resonate with depth and meaning.

Expanding the creative horizon

Creativity manifests in myriad forms, not solely through the invention of novel ideas but also through the reinterpretation and expansion of existing concepts. AI democratises the creative process, offering a foundation upon which designers can build, refine, and innovate.

Initial designs generated by AI, though not flawless, serve as springboards for further creative exploration, enabling designers to infuse additional layers of sophistication and personalisation into their work.

The integration of AI into creative workflows represents a pivotal moment in the evolution of the creative industries. It heralds a new era where technology and creativity converge, opening up a realm of possibilities for innovation and expression. The key to harnessing the full potential of this convergence lies in embracing AI not as a threat but as an invaluable ally in the creative journey.

The interplay between AI and creativity in the development of the metaverse is a testament to the symbiotic relationship between technology and human imagination. As we navigate this exciting frontier, it becomes clear that AI serves not to eclipse creativity but to enrich it, offering new avenues for exploration and expression.

The future of creativity in the metaverse and beyond is not just about adapting to the wave of AI but riding it to unlock new dimensions of imaginative possibility. In this journey, the fusion of AI and human creativity heralds a promising horizon for the creative industry, one brimming with opportunities for growth, innovation, and unparalleled artistic expression.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic

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This article was first published on April 4, 2024

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