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Shaowei Ying shared thisThere was one clear take away from MTX - Milipol TechX event in Singapore this week, that Physical AI has arrived! At the NCS Group booth, we demonstrated how embodied AI can already support real public safety scenarios — from live situational awareness to dynamic robot navigation and coordinated fleet operations. I am particularly excited about the progress of world foundation models — grounding AI in physical environments and enabling systems to perceive, reason, and act with increasing reliability. But the real shift isn’t full autonomy — it’s AI as a co-pilot... - AI senses, analyses, and suggests - Humans decide, contextualise, and take accountability The challenge now is designing human–AI systems that work under pressure. …and this was reinforced through real human-to-human conversations at MTX. Beyond the technology, this industry is still built on strong relationships. NCS deepened engagements with key partners including HTX (Home Team Science & Technology Agency), Mistral AI, VAST Data, AGIBOT, Anhui Huazhi Tianzheng Tech Co Ltd and Lian Xin. It’s cool to stand beside a robot and pose — but even cooler to stand beside a (better) human with the same name. Great catching up with friends across the industry, including Shao Wei Yuen from HTX.
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Shaowei Ying shared thisOver the past weeks, I have been reminded in very tangible ways of what makes Singapore special. Yesterday, I had the privilege of joining Muslim friends at Masjid An-Nur to break fast and mark the end of Ramadan. To all friends celebrating, Selamat Hari Raya Aidilfitri! Not long before that, I attended the Chingay Parade, where vibrant performances from across ASEAN showcased the richness of cultures, traditions and identities in our region. As we build the next chapter of our digital and AI-enabled future, Singapore’s multicultural identity is not just something to celebrate. It is something to design for. Our technologies must reflect the languages we speak, the values we hold and the communities we belong to. Innovation moves fast. But identity gives it meaning!
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Shaowei Ying shared thisIn this Year of the Horse, it is natural to draw parallels between the qualities of horses and the trajectory of AI today — speed, strength, and relentless momentum. Yet two Chinese sayings offer timely reminders. Lǎo mǎ shí tú (老马识途) speaks to the enduring value of seasoned wisdom in guiding the path forward, while Xuán yá lè mǎ (悬崖勒马) reminds us of the discipline needed to rein in at the edge of uncertainty. Together, they highlight an important truth: unbridled technological advancement, without reflection and responsibility, is neither sustainable nor healthy. The AI journey is also one that no single organisation — or even nation — can navigate safely alone. The complexity of the technology, the diversity of real-world use cases, and the profound societal implications demand deep collaboration across the ecosystem. Building trusted frameworks, sharing learnings, and co-developing safeguards will be essential as AI continues to scale across industries and borders. I am therefore privileged that NCS Group is partnering the Singapore IMDA's AI Verify Foundation on advancing AI safety initiatives. This evening, we co-hosted a well-attended community event tonight at #LorongAI, and I was honored to moderate a lively panel discussion among Prof Abhik Roychoudhury (National University of Singapore), Edward Yee (FAR.AI), Gerry Chng (KPMG), Wan Sie LEE (AI Verify Foundation) and I. Ultimately, organisations that succeed in the AI era will not simply be those with the most advanced algorithms, but those that cultivate the strongest networks of trust and collaboration. #ncslife
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Shaowei Ying shared thisCelebrating 25 years of Intelligent Transportation Society Singapore Last night, I had the privilege of attending ITS Singapore’s 25th Anniversary celebration. It was a meaningful milestone for a community that has helped advance intelligent transport in Singapore over the years. As a member for more than a decade, NCS Group is proud to continue contributing to this ecosystem — and I was honoured to receive an award on behalf of NCS. A highlight of the evening was ITS Singapore’s recognition of the work by NCS and Mitsubishi Heavy Industries in rolling out #ERP2.0. This is more than a technology upgrade — it will herald a new era in road traffic management, enabling AI and advanced sensing technologies to reshape how we deliver reliable, liveable urban mobility for Singapore. Beyond the ceremony, it was also a great night of conversations and reconnecting with friends across the industry. The energy in the room bodes well for continued partnership between the ecosystem and the Land Transport Authority (LTA) Singapore, and for the future of intelligent transportation in Singapore.
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Shaowei Ying shared thisIt is important that with the relentless advancement of AI, we don’t lose our identity and humanity. Vital that we continue to have AI systems that reflect our cultures, languages and values — not just optimise for speed and scale. That is why I applaud our country’s dual efforts to build SEA-LION (AI Singapore ) and MERaLiON (A*STAR - Agency for Science, Technology and Research ) These are national AI initiatives that go beyond technical capability — they aim to anchor AI in Southeast Asian languages, social context and emotional intelligence, ensuring that intelligence is not only powerful, but also relatable and trusted. I just attended the second consortium meeting of MERaLiON, which brings together government, industry and research communities to shape a multilingual, culturally attuned large language model for our region. I’m especially proud that the NCS Group team in partnership with IMDA has built an API platform that allows organisations to access the MERaLiON models for free — lowering the barrier to experimentation, innovation and responsible adoption. Building sovereign, empathetic AI for Southeast Asia is not just a technology milestone. It is a commitment to identity, trust and inclusion. #ncslife Royston Bok Matthew Chong Wai Kuan Sunil Sivadas, Ph.D. Angela Chee
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Shaowei Ying shared thisSingapore may be a small nation, but we continue to punch above our weight in the fast-moving world of AI. Beyond nurturing a strong academic–industry ecosystem (evident in the recent Association for the Advancement of Artificial Intelligence (AAAI) conference held in Singapore) and building a pro-innovation regulatory environment (such as Singapore IMDA's Model Governance Framework for Agentic AI), Singapore is also taking the lead in raising AI literacy across the country's workforce. This afternoon, I joined the event organised by the National University of Singapore SCALE (School of Continuing Education and Lifelong Learning) to celebrate the collective tripartite efforts of academia, government agencies, and industry to reskill employees and build ICT capabilities for the intelligence-led era. NCS Group was among the organisations signing MOUs to strengthen future workforce development initiatives and collaborations. Thank you NUS SCALE for your continued contributions to adult learning and lifelong education. Antoine Ting Kah-Hin Chai #ncslife
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Shaowei Ying shared thisI co-authored (with Ritchie Ng) an article in the latest issue of the Director's Bulletin by Singapore Institute of Directors. As we close out 2025, the idea of a “G-Zero” world feels especially resonant for corporate leaders — many of whom are now steering their organisations through an environment that is not just volatile, but structurally fragmented. What stands out in this quarter’s Bulletin (https://lnkd.in/gyq5FhEx) is how issues that often appear separate — AI governance, trade uncertainty, supply chain resilience and geopolitics — are in fact converging around a single reality: fragmentation is no longer temporary or cyclical; it is structural. For boards, the challenge is no longer how to return to a borderless world, but how to design, operate and govern organisations that can remain resilient, trusted and competitive within it. Several articles also highlight why Asia — and Singapore in particular — is becoming a proving ground for resilience in a multipolar world. Keen to hear how fellow directors and executives see Singapore’s role evolving in this fragmented landscape, and what lessons here may be applicable globally. #ncslife
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Shaowei Ying shared thisThank you Singapore Leaders Network (SGLN) for the opportunity to moderate and participate in a panel discussion on AI for Singapore SMEs. https://lnkd.in/gptWUU3Z SMEs are not just vital to Singapore’s economy—they are the backbone of APEC and global economies as well. Data collected and published by APEC - Asia-Pacific Economic Cooperation shows that SMEs in the APEC region make up the majority of enterprises in their respective economies, and contribute significantly to employment and net job growth, even if their overall productivity tends to lag behind larger firms. Yet many SMEs face persistent structural challenges: limited digital capabilities, fragmented processes, manpower constraints, and the high cost of modernising operations. These barriers make it difficult for them to improve efficiency and compete effectively. This is where AI can be truly transformative. By automating routine tasks, enhancing decision-making, and creating new digital revenue streams, AI offers SMEs a practical pathway to uplift productivity and accelerate growth. The potential economic impact—locally and across APEC—could be tremendous if adoption becomes widespread.Shaowei Ying shared thisAI is hard enough for big companies to grapple with, let alone Small and Medium Enterprises (SMEs). For them, the question is: Where do we even begin? As part of their Action Learning Project, Debbie Tan, Richmond Tan, Jinny Goh, Chao Yong Sai, Benjamin Yeoh, and Min Fern P. set out to speak with people who work with AI in very different ways. They weren’t looking for grand theories; they wanted practical perspectives that a business owner or SME leader could immediately connect with. That work eventually became Demystifying AI for Singapore’s SMEs, a podcast designed to offer grounded insights and clearer starting points for businesses exploring AI. They brought together four speakers who each approach AI from a distinct vantage point — Johnson Poh, Assistant Chief Executive at IMDA; Shaowei Ying, Senior Partner and Chief Scientist at NCS; Alvin Eng, who leads Enterprise AI within UOB’s Innovation Group; and Evans Sin, the CEO of Petcubes. Together, they offer a grounded look at how AI is being adopted across different parts of Singapore’s ecosystem: from national initiatives, to deep tech applications, financial considerations, and the hands-on realities of an SME founder. In this first highlight, Johnson Poh sets the stage by outlining where AI adoption currently stands in Singapore. It’s a helpful starting point that frames the broader conversation in the podcast. 🎧 Watch the full episode: https://lnkd.in/gptWUU3Z 🎧 Listen on Spotify: https://lnkd.in/gtybC6Hb A big thank you to Johnson Poh, Shaowei Ying, Alvin Eng and Evans Sin for contributing their time and insights to this project. And well done to our 2025 SGLN Fellows Debbie Tan, Richmond Tan, Jinny Goh, Chao Yong Sai, Benjamin Yeoh, and Min Fern P. for bringing this resource to life, with support from SGLN Ambassadors Ethan Pang and Siddhant Ghosh. #SingaporeSMEs #AIforSMEs #DigitalTransformation #SGLN #LeadershipDevelopment #GlobalLeadership
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Shaowei Ying shared thisGoogle DeepMind officially opened its Singapore office in the past week, signalling strong confidence in Singapore's role as a global hub for frontier AI research, talent and innovation; and it is already starting to make an impact! I had the privilege of participating in DeepMind's AI Science 2030 workshop - only the second time it has been held globally. The 5-hour foresight role-playing session brought together stakeholders across industry, academia and govenrment to explore long-range scientific questions and the opportunities for policy-making, industry and philanthropy. A fantastic opportunity to connect with peers across the ecosystem and a pleasure to meet Lila Ibrahim, COO Google Deepmind and her team. Exciting times ahead for Singapore - and for everyone working to shape the future of AI in the region. Jason Bay, Mark Pereira Marie Teo Pratyusha Mukherjee
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Shaowei Ying liked thisShaowei Ying liked thisLast week, we had a very meaningful discussion at NCS Group with Singapore’s Government Chief Sustainability Officer Tuang Liang Lim, his team, and colleagues from Ministry of Sustainability and the Environment, Singapore and GovTech Singapore on what it will take to accelerate Singapore’s sustainability journey. Thank you again for spending the time with us and for the candid exchange of ideas. One theme came through very clearly: Sustainability can no longer be treated mainly as a reporting exercise. It is increasingly a systems transformation challenge. Singapore has already made strong progress and set clear ambitions. But the next phase will be harder. Many of the early efficiency gains have already been captured. The harder challenges ahead sit across infrastructure, operations, procurement, data, and behaviour change - often across multiple systems and stakeholders at once. At the same time, AI is changing the equation dramatically. AI has enormous potential to optimize energy, facilities, operations, and decision-making at scale. But AI is also driving a surge in compute demand, data centre growth, and energy consumption. Technology is becoming both the enabler and the constraint. This is why the next step change requires deeper integration between digital systems and physical infrastructure - moving from fragmented pilots toward real-time, intelligent, and continuously optimized systems. At NCS, we shared some of the work we are doing together with public sector partners: - helping reimagine more energy-efficient digital infrastructure and data centre operations - enabling smarter infrastructure and facilities management through IT-OT convergence - using AI, IoT, analytics, and intelligent operations to improve sustainability outcomes at scale Importantly, we are also seeing real operational and sustainability impact from these efforts. But incremental improvements alone will not be enough. We need: - smarter systems, not just more reporting - lifecycle thinking, not just upfront cost optimization - shared standards and interoperable architectures - stronger public-private collaboration to scale adoption faster Singapore has a real opportunity to lead here - not just in sustainability ambition, but in demonstrating how a highly digital and AI-enabled nation can grow sustainably under real-world constraints. NCS remains deeply committed to supporting this journey together with government, clients, partners, and the broader ecosystem. The work ahead is challenging. But it is also one of the most important transformations of our generation. 🌳 💪 Sreekanth Shankar Keng Hoe Toh Earl Tan Wesley Kok Ang Joo Lim Suyin Chan Jayne Leow En Yeow Wang Dawn T. Pranav K. Jordon Woon
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Shaowei Ying liked thisShaowei Ying liked thisJust completed IMDA and AI Singapore's AIxTech programme and got certified! 🎉 It's not about any single tool it's about building the fluency to choose, switch, and combine AI coding assistants effectively for the work at hand. Looking forward to bringing these learnings back to the team and seeing how we can work smarter together. NCS Group #ncs #imda #aisg
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Shaowei Ying liked thisShaowei Ying liked thisAppreciated the opportunity to attend a quantum-safe roundtable hosted by Enterprise Singapore, with insightful sharing by Cyber Security Agency of Singapore (CSA) and IBM on the urgency of quantum-safe migration. 💡 The key takeaway: quantum threats are no longer theoretical or “future problems”. Timelines are shortening, while enterprise-wide migration to post-quantum cryptography could take many years. We are fortunate to have agencies like CSA and EnterpriseSG actively driving awareness and ecosystem coordination early — helping organisations better understand the urgency and scale of the challenge, and prepare sooner rather than later. Nur Iman Aris Damian Toh Kok Wee Ong Sonya Chan Julian Tan Umut Cikla Prasanna Ravi #NCS #NCSLIfe #CSA #IBM #QuantumSafe #PQC #CyberResilience #CriticalInfrastructure #DigitalTrust
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Shaowei Ying liked thisShaowei Ying liked thisSam Liew was honoured as the Tech Leader of the Year at the SCS Tech Leader Awards 2026. A strong champion of Singapore’s technology community, he led major initiatives that support an inclusive digital future and create opportunities for students, youths, professionals, and seniors. He was recognised for his commitment to nurturing the next generation of tech talent and strengthening Singapore’s technology ecosystem. Congratulations, Mr Sam Liew! For the full citation, please visit: https://lnkd.in/gSXRc_M5 #SCS #SCSTechLeaderAwards2026 #SCSTLA2026 #TLA2026TechLeaderOfTheYear
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Shaowei Ying liked thisShaowei Ying liked thisOf Axolotls and AI. This morning I'd the wonderful opportunity to present at the Google Leaders Connect Singapore. Shared about the Axolotl, an endangered species in the wild which lives in a neoteny state underwater, feathered gills out, fish-like lidless eyes, highly permeable skin, comfortably aquatic... until it faces an existential change in environment. When that major environmental change happens (eg massive drop of water levels or becomes uninhabitable), the axolotl undergoes a rare, grueling and stressful metamorphosis. It sheds its gills, develops lungs, strengthens its limbs, grows lids on their eyes, skin toughens, and crawls onto land as a terrestrial salamander. It transforms because it must to survive. Right now, the rapid evolution of AI is our receding water levels, our existential change in our environment. With AI, the "existential change" in our digital environment is forcing a metamorphosis. We are being pushed out of our comfort zones and into a new landscape where we will need to develop new lungs, new legs, new skin, and more to thrive in the new landscape. Metamorphosis is hard, but vital. Just as the axolotl faces physical strain during its change, any AI transformation will be challenging. Like the axolotl, our ability to undergo this metamorphosis determines whether we thrive on the new terrain or get left behind in a drying pond. So.. you shedding your old gills, or waiting for the water to come back? A big shout out to the Google team. Thank you so much for having NCS Group at your annual flagship customer event! Was great catching with client and partners. Amazing showcase of the various Google technologies and wonderful sharing by clients like GovTech Singapore DBS Bank and Bank of Singapore, Asia’s Global Private Bank Team NCS Group led by Yip Chun Kit also put up very nice showcases of a 5 day AI sprint and AI data use cases and agents across different industries. Serene Sia Mark Micallef Penny Chee Glen Francis Kang Ming Wong Wei Boon Goh Yuh Woei Tan Robert Gilby
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Shaowei Ying liked thisShaowei Ying liked thisCongratulations to Kuan Moon Yuen and our Singtel team for receiving the Medal of Commendation (Gold) Award and the Plaque of Commendation (Star) Award, respectively, at the May Day Awards 2026. Congratulations also to Brother Mohamad Latiff bin Othman, President of the Union of Telecoms Employees of Singapore (UTES), on receiving the Comrade of Labour Award in recognition of his longstanding contributions to workers and the Labour Movement. It was a passionate and heartwarming celebration last evening. A big shout out to all winners who have contributed to the success of our unique tripartism model here in Singapore! #MayDay2026 #Singtel
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Shaowei Ying liked thisShaowei Ying liked thisNCS Group is excited to be working with Land Transport Authority (LTA) Singapore on this innovative and sustainable solution. In step with Singapore’s focus on sustainability and smart urban solutions, the Land Transport Authority (LTA) is trialling a new way to keep commuters informed. Here is a summary of the latest trial involving solar-powered e-paper bus arrival screens: The Innovation: LTA has launched a trial for solar-powered colour e-paper displays at bus stop 40019 in Little India. This project is a collaboration with NCS. Purpose: The trial aims to test the durability and energy efficiency of modern colour e-paper technology. These screens are designed to withstand Singapore's harsh outdoor climate. Key Benefits: By utilising solar energy and battery systems, these displays operate with extremely low power consumption. This makes them an ideal solution for bus stops with lower footfall or those where traditional power infrastructure is harder to install. It is exciting to see how green technology continues to be integrated into our daily infrastructure to enhance the commuter experience. Well done to Howie Sim and the team! Loisa K. Fei Fei Ong Adeline Sim Geraldine Kan @Mohamad Ariff Link to news articles: https://lnkd.in/gCTC3xza https://lnkd.in/gTtehf73 Ministry of Transport, Singapore
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Shaowei Ying liked thisShaowei Ying liked thisI recently realised I was in meetings where AI helped analyse the data, shaped the recommendations, structured the presentation and reviewed the presentation. The workflow still looked human. But AI has influenced almost every layer of the decision process. The human still acts. But increasingly within an AI-curated reality. I think this may fundamentally change where human value sits inside organisations. For years, companies prized deep functional expertise above almost everything else. But as AI commoditises access to knowledge, the premium may increasingly shift toward: - contextual judgement across domains - understanding second-order consequences - knowing when optimisation is directionally wrong It reminds me a little of Formula 1. The cars produce enormous telemetry and simulation data. Yet the best engineers still matter because they know when something “doesn’t feel right” even when the models say otherwise. The more optimised the system becomes, the more valuable judgement becomes at the edge cases. At the organisational level, many conversations today are rightly focused on governance, security & privacy. But I suspect the longer-term differentiator may be something else entirely. The quality of leadership teams. Because in an environment where AI increasingly shapes analysis, recommendations and workflows, leadership teams matter even more. The advantage goes to the organisations whose leaders can: - apply judgement across domains, geographies & industries - challenge optimisation when needed - align humans around difficult trade-offs The more powerful the machines become, the more important it may be for leadership teams to know what truly matters.
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Shaowei Ying liked thisShaowei Ying liked thisIt was wonderful to be back in Korea last week, 10 years after AlphaGo’s historic win against the legendary 9-dan champion Lee Sae Dol. That groundbreaking moment gave the world a first glimpse of what we could achieve with AI that can learn to solve hard problems. We’ve seen incredible progress in AI since then. Today, AI is capable of advanced reasoning and is beginning to have agentic capabilities that will enable it to plan and act in the world, whether in robotics or as useful assistants. We’re now at a major threshold with AGI likely to arrive in 3-4 years and bring profound change to industries and society. Korea is uniquely positioned for this transformation. It has one of the world’s fastest-growing AI adoption rates - many of Korea’s citizens rely on the Gemini app as an essential daily partner. It’s also a world leader in manufacturing memory chips and advanced semiconductors that are the bedrock of AI compute. At the same time, Korea’s leaders have been deeply thoughtful about the critical questions we as a society have to answer as we navigate this next transformative period of human history. It was a huge honour to meet President Lee Jae-myung and discuss AI safety and the importance of using AI to advance science. I’ve always believed that scientific discovery is the ultimate use case for AI, and Korea’s strengths in robotics, biotech, energy and education - along with its world-class talent - make it a natural partner for accelerating this work. We’re building on a strong foundation of collaborations with world-leading Korean companies and universities, and establishing a new partnership with The Ministry of Science and ICT of the Republic of Korea. We’ll help to accelerate the country’s K-Moonshot mission by leveraging our models in fields such as life sciences, energy, weather and climate. We’ll also be collaborating with the Korean AI Safety Institute on research and are supporting the next generation of talent by providing internship opportunities at Google DeepMind for Korean students. We have a long-standing connection with Korea as the home of the AlphaGo match that kickstarted the modern AI era. Returning to Seoul offered the chance to connect with Lee Sae Dol again and join Shin Jin-seo for a special Go match. It was incredibly interesting to hear how AlphaGo has changed the way players approach the game. I also got to visit Google Korea and spend some time with the amazing team there. The launch of our AI Campus within our Seoul office will help to drive collaborations between Korean institutions and our AI experts that are at the center of our work together. Thank you to everyone in Korea for such a warm welcome. Excited to see where this new chapter of collaboration leads us! Read more about our new partnership: https://lnkd.in/eaReHrVK
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Tunku Omar Asraf
Artem Ventures • 9K followers
Excited to share Artem Ventures' investment in Valiance Health. Malaysia's healthcare system is getting more expensive, yet we still can't clearly answer are patients actually getting better outcomes for what we're spending? The reason is simple. Clinical, financial, and operational data across our hospitals and insurers don't talk to each other. Doctors, insurers, and policymakers are all flying blind. As Malaysia moves toward value-based healthcare where providers get rewarded for outcomes, not just services rendered the entire model collapses without the right data infrastructure underneath it. That's the missing piece Valiance Health is building. Founded by two doctors who lived this problem firsthand, Dr. Lutfi Fadil and Dr. Ridhwan Hassan, I believe they are uniquely positioned to fix it. This is early. But the shift toward outcome-driven healthcare in Malaysia is inevitable and the window to build the foundational layer is now. Welcome to the Artem portfolio, Valiance Health. 🚀
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Jürgen Pronebner
CRO2go • 2K followers
It might not directly be applicable to other countries, but parts for sure are. I especially like two aspects: 1/ the collaborative sandbox approach with real but anomynized data and 2/ Even more important the fairness an patient-centric approach. Zühlke Group Jim Lim Shien Min, PMP , Angeli Möller #AI #healthcare
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Xin Jin
Alexandra Hospital, Singapore • 1K followers
Glad to reconnect with old friends, industry leaders, and partners as we exchanged perspectives on Observability in the Agentic AI era. While many anticipated 2025 to be the “Year of Agentic AI”, widespread enterprise adoption has not materialised as quickly as expected. The reality is that Agentic AI implementation is deeply shaped by industry-specific complexity and data readiness. The software sector has moved faster — largely because of access to structured, high-quality training data that enables AI systems to operate with real autonomy. However, in highly regulated sectors such as healthcare and public services, the constraints are different: Limited access to usable training data Strong governance requirements Complex operational environments As a result, adoption will naturally be more measured — meaning slower workforce disruption, but also slower realisation of AI-driven productivity gains. Our focus remains clear: # Make Agentic AI natively embedded within clinical and business workflows # While maintaining architectural flexibility to adapt to rapid technological evolution This calls for a deliberate separation of layers: Foundational Layer – Data, governance, and core systems (stable, mature) Agentic Layer – Autonomous decisioning and orchestration (emerging, fast-evolving) Such decoupling allows organisations to remain nimble in investment decisions — ensuring that AI initiatives are purposeful. Ultimately, AI investments should deliver one of two outcomes: # Generate meaningful insights # Unlock measurable productivity Anything else is experimentation — not transformation.
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Devanathan Raghunathan PhD MBA
KEEPING LABOR SAFE • 31K followers
🚨 New Publication: Why Digital Health Fails Without the Patient 🚨 Proud to share a paper I co-authored with PwC and the Institute for Digital Medicine (WisDM) at NUS — one that cuts to the heart of digital transformation in healthcare: Too many digital health solutions are technically brilliant but fail in the real world. Why? Because they’re not built with the patient in mind. 🧠 In this paper, we: Redefine patient-centricity for the digital age Present a robust 3Es Framework (Efficacy, Equity, Experience) Offer practical, stakeholder-specific recommendations — for builders, payors, regulators, and investors 💡 The key insight: Technology adoption = User trust × Relevance × Empowerment Whether you’re designing digital therapeutics, evaluating health tech startups, or shaping national digital health strategies — this framework can help bridge the gap between clinical validation and actual impact. Let’s make healthcare transformation truly human-centered. -Devan #DigitalHealth #HealthTech #PatientCentricity #DigitalTherapeutics #AIinHealthcare #HealthcareInnovation #HealthEquity #UserExperience #MedTech #HealthPolicy #ValueBasedCare #VentureCapital #HumanCenteredDesign #PwC #NUS #WisDM Zubin Daruwalla Dean Ho Yoann Sapanel Avelle Wong Rhea Joshi Jeremy Lim Eric Topol, MD Bertalan Meskó, MD, PhD John Halamka, M.D., M.S. Soumya Swaminathan Tedros Adhanom Ghebreyesus Halle Tecco, MPH, MBA Christina Farr
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Dr Timothy Low ,PBM,Author,CEO,Board Director
QUIKBOT TECHNOLOGIES • 41K followers
What resonates: Daniel CF Ng 伍长辉 This move signals more than capital deployment, it’s a clear alignment of conviction, computation, and capacity. When Temasek, BlackRock and Microsoft converge, we’re not just talking about infrastructure, we’re witnessing the scaffolding of the next digital epoch. AI may be the engine, but without power, pipes, and precision-built data hubs, it’s just theory. Singapore isn’t just participating in the AI race, we’re laying the track.
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Charlene Liew, FRCR, FAMS
Simei Digital Health… • 3K followers
Tax breaks for companies using AI. Four new AI missions for Singapore : including a Healthcare AI mission. Not many governments are helping hospitals’ financial teams cross the hurdle rate to capture ROI/ breakeven at razor thin margins. This makes our mission much easier - we can focus on execution and deployment of safe, reliable AI in healthcare.
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Ingrid Fernandez, PhD
Hewlett Packard Enterprise • 6K followers
AI is quickly becoming the heartbeat of healthcare transformation in ASEAN. From urban hospitals in Singapore to remote clinics in Indonesia, AI is closing gaps in care access, accelerating diagnostics, and enabling a more equitable model of healthcare delivery. It’s not just about tech for tech’s sake—it’s about creating scalable, sustainable systems that meet the realities of fast-growing, diverse populations. Indonesia’s DoctorTool, powered by watsonx.ai, is helping healthcare providers meet regulatory needs and cut insurance fraud. In Thailand, AI is streamlining cancer diagnostics and pathology workflows. And across the region, we’re seeing real momentum in turning innovation into impact. Of course, challenges remain—data privacy, infrastructure limitations, policy complexity—but the direction is clear: AI is not optional. It’s foundational. If you're watching how emerging markets are leapfrogging legacy models in health innovation, this piece is worth the read: https://lnkd.in/eT5Bw_ka #DigitalHealth #AIinHealthcare #ASEAN #GlobalHealth #LifeSciences #watsonx #HealthTechStrategy
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Raihan Faroqui, MD
Confido Health • 15K followers
Healthcare AI is entering its Foundation Model Era The floodgates just opened for clinical-grade, healthcare-specific AI models...and VCs are rushing in. As Ngai Yeung mentioned in her recent article: 👉 Aidoc raised $150M from General Catalyst and NVIDIA’s venture arm to flag critical findings in imaging exams. 👉 Ash by Slingshot AI: a therapy chatbot trained on real session transcripts just extended its Series A to $93M with backing from a16z. 👉 OpenEvidence landed $210M (yes, B round!) for a search engine trained on medical journals. this was called “the most competitive deal” by a GV investor. What ties these together? *They’re all built on foundational models: LLMs trained not just on text, but on multimodal healthcare data: imaging, audio, notes, EMR dumps, and beyond. These models don’t just summarize: they reason, flag, search, predict, and increasingly... act. And we’re just getting started. Expect foundational model-native startups to pop up across every specialty, especially those with highest cost to payors and lowest consumer access: - MSK - Oncology - Cardiology - Women’s health The next phase? *Agentic workflows built on top of these models. Think ambient scribe → care coordinator → revenue cycle → diagnostics → population health. All wrapped into modular, intelligent assistants. Clinical productivity jumps, staffing headaches shrink, and a new UX layer is born. We’re watching a new platform shift that is purpose-built for healthcare.
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Ajay Vikram Singh
Aarogya Tech • 4K followers
Precision Economics in Value-Based Care The JMIR Medical Informatics (2026) study on the Singapore Health Services registry (Joshua Tan Kuan et al) provides a rigorous technical framework. By deploying a stacking ensemble architecture—utilizing multiple base learners—the researchers achieved a multiclass AUROC of 0.76 for ED visits and successfully identified 77.1% of future high-usage patients. At Praana-Health.ai, we are translating these predictive architectures for the U.S. healthcare market, where the economic stakes are even higher. While the study models discrete strata like inpatient Length of Stay (LOS) categories, our ecosystem— metabolic disease Insights & Alerts AI and Praana Guide—operationalises this data within US clinical workflows. We move beyond "prediction" into automated execution. Our continuous care loop integrates real-time risk stratification to flag clinical deterioration between visits, ensuring simulated savings becomes a realized ROI for US health systems. Let’s bridge the gap between high-fidelity modeling and frontline clinical impact. #HealthAI #ValueBasedCare #MachineLearning #PraanaHealth #HealthSystems #ROI #PredictiveAnalytics Prashant Trivedi Dr Lokendra Thakur www.praana-health.ai
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Alessandro Puccio
Accenture • 15K followers
At the recent Semafor Tech San Francisco fireside chat, Chan Ih-Ming, Executive Vice President of the Singapore Economic Development Board, emphasized Singapore's crucial role in cultivating an inclusive AI ecosystem. This ecosystem supports a wide range of businesses, from startups to multinational corporations, in seamlessly implementing advanced solutions throughout Southeast Asia. Singapore leads the way in innovation, creating a favorable environment for companies to effectively expand their AI projects. By fostering a diverse ecosystem, Singapore empowers businesses of all scales to leverage AI technology and instigate significant changes in the region. Chan Ih-Ming's remarks illuminate Singapore's proactive stance and strategic endeavors driving the adoption of AI solutions, offering a pathway for organizations to excel in the vibrant Southeast Asian market. Through collaborative endeavors and forward-looking strategies, Singapore cements its status as a center for innovation and technological progress on the global business stage.
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Shaowei Ying
NCS Group • 4K followers
I co-authored (with Ritchie Ng) an article in the latest issue of the Director's Bulletin by Singapore Institute of Directors. As we close out 2025, the idea of a “G-Zero” world feels especially resonant for corporate leaders — many of whom are now steering their organisations through an environment that is not just volatile, but structurally fragmented. What stands out in this quarter’s Bulletin (https://lnkd.in/gyq5FhEx) is how issues that often appear separate — AI governance, trade uncertainty, supply chain resilience and geopolitics — are in fact converging around a single reality: fragmentation is no longer temporary or cyclical; it is structural. For boards, the challenge is no longer how to return to a borderless world, but how to design, operate and govern organisations that can remain resilient, trusted and competitive within it. Several articles also highlight why Asia — and Singapore in particular — is becoming a proving ground for resilience in a multipolar world. Keen to hear how fellow directors and executives see Singapore’s role evolving in this fragmented landscape, and what lessons here may be applicable globally. #ncslife
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Daniela Romão
IHCare Health - Innovation… • 9K followers
Singapore continues to reinforce its position as a global technology and MedTech hub not through infrastructure, talent and regulatory clarity. Major global players are establishing AI and R&D hubs here for a reason. They want to access advanced computing capacity, strong governance frameworks, clinical-grade data environments and a deeply skilled innovation workforce. What makes Singapore different is how these elements connect. Technology, healthcare, regulation and industry are not operating in silos. They are aligned to support responsible innovation that can scale globally. For medical innovators, this matters. At IHCare Health - Innovation Hospital Care our work focus is medical R&D, sustainability and patient safety. Developing a Class I medical device that reduces infection risk while lowering environmental impact requires more than a good product requires an ecosystem that understands clinical value, regulatory discipline and long-term system impact. Singapore provides exactly that. In this country medical innovation is expected to be rigorous, evidence-based and ethically grounded. We all know this - Singapore is not just a hub it's a validation platform for medical innovation done properly. As I often say, you win in Singapore you win everywhere! #iHCare #ShelltyProCare #MedTech #HealthInnovation #MedicalInnovation
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Luuk Eliens
ATUM Ventures • 4K followers
We just shared an overview of #RIE20230. What stands out to me is not the size of the commitment or even the choice of focus areas. Singapore has been consistent on both for years. What is genuinely novel about RIE2030 is the way it reframes the role of the state in deep-tech innovation. Earlier RIE cycles were excellent at funding research excellence and building world-class capabilities. RIE2030 goes a step further. It is explicitly mission-driven. The introduction of Flagships and Grand Challenges signals a shift from “supporting good science” to actively shaping outcomes. That is a meaningful change. By anchoring research around national and industry-relevant missions, RIE2030 creates tighter feedback loops between discovery, application and deployment. This is particularly important in deep tech, where progress is rarely linear and where alignment across public agencies, corporates and founders determines speed more than raw funding. Another underappreciated difference is the emphasis on integration. RIE2030 does not treat semiconductors, AI, sustainability or health as isolated verticals. It implicitly recognises that the most valuable deep-tech breakthroughs will sit at their intersections, and that success depends on shared infrastructure, data, talent and long-term partnerships. Finally, the scale and duration matter. A S$37B, multi-cycle commitment sends a signal that deep-tech commercialisation is not a sprint or a policy experiment, but a long-term national capability that compounds over time. If RIE2030 delivers on this intent, its impact will not be measured by the number of funded projects. It will be measured by how effectively Singapore turns coordinated missions into globally competitive companies and platforms. That is a different ambition. And a promising one.
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