Agenda

Wai Fong Boh is President’s Chair and Professor of Information Systems at Nanyang Technological University (NTU) in Singapore. She is currently the Interim Dean of Nanyang Business School (NBS), Director of Information Management Research Centre at NBS, and she serves as co-Director for both Singapore Agri-Food Innovation Lab (SAIL @ NTU) and NTU Centre in Computational Technologies for Finance (CCTF). She received her PhD from the Tepper School of Business at the Carnegie Mellon University. She conducts research in the areas of knowledge and innovation management and entrepreneurship. She has published many articles in top management journals including Management Science, MIS Quarterly, Academy of Management Journal, Organization Science, Journal of Management Information Systems, and Research Policy. She has also won multiple awards, including awards for best papers in journals, conferences, and as a best IS professor in Asia. Professor Boh is a seasoned and versatile instructor who teaches at both undergraduate and graduate levels. She has spoken in multiple industry conferences, and specializes in research and conducting training for entrepreneurs, managers and employees in areas related to innovation and entrepreneurship. Professor Boh is also sought after by private organizations as well as government agencies to conduct training programs. She is often cited and interviewed in the media.

This panel will delve into strategies and best practices for enhancing the outcomes of digital transformation initiatives through the strategic application of analytics and AI. In this discussion, we ask panelists to share insights, case studies, and practical advice on harnessing the full potential of analytics and AI to achieve transformative results.

Wai Fong Boh is President’s Chair and Professor of Information Systems at Nanyang Technological University (NTU) in Singapore. She is currently the Interim Dean of Nanyang Business School (NBS), Director of Information Management Research Centre at NBS, and she serves as co-Director for both Singapore Agri-Food Innovation Lab (SAIL @ NTU) and NTU Centre in Computational Technologies for Finance (CCTF). She received her PhD from the Tepper School of Business at the Carnegie Mellon University. She conducts research in the areas of knowledge and innovation management and entrepreneurship. She has published many articles in top management journals including Management Science, MIS Quarterly, Academy of Management Journal, Organization Science, Journal of Management Information Systems, and Research Policy. She has also won multiple awards, including awards for best papers in journals, conferences, and as a best IS professor in Asia. Professor Boh is a seasoned and versatile instructor who teaches at both undergraduate and graduate levels. She has spoken in multiple industry conferences, and specializes in research and conducting training for entrepreneurs, managers and employees in areas related to innovation and entrepreneurship. Professor Boh is also sought after by private organizations as well as government agencies to conduct training programs. She is often cited and interviewed in the media.

With over 20 years in the tech arena, Simon Long is a trailblazer in workplace technology, smart buildings, and PropTech. At CBRE Singapore, he’s transformed visions into reality, collaborating with giants like Google and Salesforce on over 100 tech projects. His expertise spans future workplace tech, IoT, Big Data, AI solutions, and digital transformation. Currently pursuing an MBA in AI at the University of Cumbria, Simon’s commitment to learning is unwavering. His insights are enriched by a passion for psychology, philosophy, and global travels, giving him a unique lens on technology’s role in diverse cultures. As a sought-after voice in tech symposiums, Simon is a beacon of innovation, always ready to drive the next wave of digital transformation.

Eric holds the position of Group Chief Digital Health Officer for the National Healthcare Group (NHG), where he spearheads the vision, strategizing, and execution of advanced digital health capabilities. His extensive portfolio encompasses leadership over the Group Chief Information Office, Group Chief Information Security Office, Chief Data Office, Group Health Informatics Office, and Group Data and Strategy Office.

Eric’s past accomplishments include a successful tenure as the Group Chief Clinical Informatics Officer for NHG from 2013 to 2022, concurrently serving as Chief Clinical Informatics Officer for Tan Tock Seng Hospital during the same period.

His academic accolades reflect his outstanding commitment to healthcare technology: he was a recipient of the Singapore Ministry of Education Scholarship in 1994 and received his MBBS from the National University of Singapore in 2002. He joined NHG post-graduation and further specialized in Emergency Medicine. Today, he continues his clinical service as a Senior Consultant at the Emergency Department of TTSH. Eric’s relentless pursuit of knowledge saw him earning a Master of Biomedical Informatics from Stanford University in 2015, backed by the Tan Tock Seng Hospital Scholarship.

Eric’s work as the Chief Clinical Informatics Officer revolutionized the integration of technology into clinical practice for optimized patient safety and care. His leadership in pioneering multiple clinical IT projects resulted in national and international recognitions. The crowning achievements include HIMSS EMR Adoption Model Stage 6 in 2011, and the HIMSS-Elseiver Digital HealthCare award in 2013 for an innovative patient tracking and vital signs automation project.

Eric also led the transformational Next Generation Electronic Medical Record (NGEMR) project, which successfully implemented EPIC across two-thirds of Singapore’s healthcare clusters since 2014. Additionally, Eric was instrumental in NHG’s Data Analytic Infrastructure project, the development of NHG Care mobile application, and NHG Healthier@SG implementation, among others.

Outside NHG, Eric contributes to the wider digital health sphere through his active roles in national and Ministry of Health’s Digital and IT boards and committees. He is also, serving as Senior Clinical Lecturer at Yong Loo Lin School of Medicine, NUS, and Lee Keong Chian School of Medicine, NTU.

In recognition of his service, Eric was awarded the Public Administration Medal (Bronze) in 2023 by the Government of Singapore

Andy is responsible for the visioning, planning and implementation of system-wide and institution-level data, analytical & AI capabilities/ programmes across the care continuum for effective enablement of analytics and data science across public health organisations in alignment to Ministry of Health’s Healthcare Masterplan.

Andy’s efforts include building a strong AI & data science community in healthcare, encouraging collaborations among public health institutions to implement innovative or transformative approaches to healthcare services, patient care delivery and population health through use of big data and advanced analytics.

Andy has published six papers, including “Development and Implementation of Nationwide Predictive Model for Admission Prevention” paper publication by IEEE Engineering in Medicine and Biology Society (EMBS) in March 2018.

TBD

Lee Wan Sie is Director for Data-Driven Tech at Singapore’s Infocomm Media Development Authority. In the area of AI, her responsibilities include driving Singapore’s approach to AI governance, growing the trustworthy AI ecosystem in Singapore and collaborating with governments around the world to further the development of responsible AI. She is also responsible for encouraging greater use of emergent data technologies, such as privacy enhancing tech, to enable more trusted data sharing in Singapore. Wan Sie has extensive experience in technology use in the public sector – prior to her current role, she developed Singapore’s strategies for Digital Economy and Smart Nation, enabled tech experimentation and innovation as head of IDA Labs, and implemented government digital services that helped Singapore become one of the easiest places in a world to do business. Outside of Singapore, she has worked with governments around the world in their national digitalisation efforts. Wan Sie actively supports Women in Tech in Singapore, to encourage young women to take up a career in technology.

As we stand at the cusp of the tech revolution, the transformative potential of Generative AI – accompanied by the speed at which businesses are jumping on the bandwagon – brings a medley of eager anticipation and a healthy dose of anxiety.

Against the backdrop of rising AI democratization, how are organizations across industries leveraging the unprecedented volume of data to make smarter decisions today?

Donald Ong – Senior Vice President, Advisors at Mastercard will share his perspective on what it takes to drive Generative AI value creation at scale, with trust as the ultimate bedrock in the customer experience era.

Donald Ong is Senior Vice President, Advisors Business Development, Asia Pacific. Mastercard Advisors is focused on driving value beyond the transaction, leveraging our unparalleled data, technology and our world-class consulting experts to deliver smarter decisions and better outcomes for governments, banks and merchants.

Prior to this role, Donald led Mastercard’s consulting, innovation, data insights and predictive analytics product lines, go-to-market and commercialization strategy in Asia Pacific.

Donald also led Mastercard as Country Manager, Thailand & Myanmar, working with public and private partners to grow the cashless ecosystem, enable the digital economy and drive financial inclusion.

Before joining Mastercard, Donald spent more than 15 years across Singapore, Vietnam and Malaysia in a variety of roles within the retail banking functions of global banks ANZ and HSBC, including finance and planning, branch management, product management and product leadership.

University is a platform for creating knowledge and disseminating knowledge. For this platform to thrive, we need the best minds to interact on the platform: best minds to create knowledge (the researchers), best minds to impart knowledge (the educators) and the best mind to absorb knowledge (the students). The platform needs to provide timely and accurate feedback to the educators and the students to ensure effective knowledge dissemination. The researchers need timely and accurate feedback to ensure efficient knowledge creation. And finally the administrators of the platform also need timely and accurate feedback to ensure the right infrastructure is provided for the interactions to flourish. Timeliness and accuracy of feedbacks and coordination of feedbacks pose challenges, but also opportunities to achieve greater excellence.

Dr Chong Juin Kuan is the Chief Data Officer of Nanyang Technological University Singapore where he derives insights from people-to-people and people-to-system data to advise the senior leadership. He previously worked as a professor of marketing in NUS Business School from 1999 to 2023 and served as Vice Dean Research (2016-2019) for the school. He was an executive committee member for the Institute of Data Science (2019-2023). He worked on numerous databases in healthcare, insurance, retail, credit card, ride-hailing, and online game, among others. His works were published in the very top scientific journals in the world and were featured in more than 60 news outlets globally. He regularly advises start-ups in the area of marketing application with big data and artificial intelligence. Juin Kuan is a member of Singapore Institute of Directors and serves as board member for a publicly-listed company and start-ups.

Artificial Intelligence (AI) may be the most talked-about technology since the creation of the Internet. While AI is capturing the imagination of the business world, turning data into actionable insights, can it really replicate strategic thinking? The potential is there, but organisations must first follow steps to make sure they are ready for the integration of AI.

Seasoned digital transformation leader with proven track record of managing up to 50 data scientists to develop tools for enhanced decision support with measurable financial impact. Built analytics solutions ranging from business intelligence to predictive analytics and artificial intelligence,. and further drove adoption by integrating them into key end-to-end business processes. Extensive knowledge of both business strategy as well as technology and capability to link them together.

In the dynamic landscape of the automotive industry, the used car marketplace stands as a realm ripe for innovation and disruption. Traditionally, navigating the complexities of buying or selling a used car involved numerous challenges, from assessing vehicle condition to negotiating prices. However, with the advent of Artificial Intelligence (AI) technology, this landscape is undergoing a profound transformation, empowering both buyers and sellers with unprecedented insights, efficiency, and transparency.

One of the most significant contributions of AI to the used car marketplace is in the realm of vehicle valuation. Determining the fair market value of a used car has historically been a subjective and often contentious process, influenced by factors such as market demand, vehicle condition, and regional variations. AI-driven valuation tools leverage vast amounts of data, including historical sales data, market trends, and vehicle specifications, to provide accurate and impartial assessments of a car’s worth in real-time. By analyzing these data points, AI algorithms can account for various factors and nuances, enabling buyers and sellers to make informed decisions and negotiate fair prices with confidence.

Furthermore, AI is revolutionizing the way used cars are bought and sold online through advanced recommendation engines and personalized search algorithms. By analyzing user preferences, browsing history, and behavioral patterns, these AI-driven systems can curate tailored recommendations and suggestions, matching buyers with vehicles that align with their specific needs, preferences, and budget constraints. This personalized approach not only enhances the overall user experience but also accelerates the decision-making process, reducing search times and increasing customer satisfaction.

Moreover, AI-powered image recognition and computer vision technologies are streamlining the vehicle inspection process, enabling users to assess vehicle condition remotely with unprecedented accuracy. By analyzing high-resolution images or videos of the vehicle’s exterior and interior, AI algorithms can identify potential defects, damages, or discrepancies, providing buyers with a comprehensive understanding of the vehicle’s condition before making a purchase decision. This transparency fosters trust between buyers and sellers, minimizing the risk of unpleasant surprises and disputes down the line.

In addition to facilitating transactions, AI is also revolutionizing the financing and insurance aspects of the used car marketplace. AI-driven credit scoring models leverage alternative data sources and predictive analytics to assess borrowers’ creditworthiness more accurately, enabling lenders to offer competitive financing options to a broader range of customers. Similarly, AI-powered risk assessment algorithms are transforming the insurance industry by analyzing various factors such as driving behavior, vehicle condition, and regional risk profiles to tailor insurance policies and premiums to individual drivers, ultimately driving greater affordability and accessibility.

However, alongside its transformative potential, the integration of AI in the used car marketplace also presents challenges and considerations, particularly concerning data privacy, cybersecurity, and regulatory compliance. As AI algorithms rely on vast amounts of data to make informed decisions, safeguarding sensitive information and ensuring compliance with data protection regulations are paramount to maintaining consumer trust and confidence.

Moreover, addressing biases and ensuring algorithmic transparency and accountability are essential to mitigate the risk of unintended consequences or discriminatory outcomes. By fostering collaboration and dialogue between stakeholders, including industry players, policymakers, and consumer advocates, we can collectively harness the transformative power of AI while upholding ethical standards and promoting equitable access and opportunity for all participants in the used car marketplace.

In conclusion, the integration of AI technology is revolutionizing the used car marketplace, empowering buyers and sellers with unprecedented insights, efficiency, and transparency. From accurate vehicle valuation and personalized recommendations to streamlined inspection processes and enhanced financing options, AI-driven innovations are reshaping the way we buy, sell, and interact with used cars. However, addressing challenges related to data privacy, cybersecurity, and ethical considerations is crucial to realizing the full potential of AI while fostering trust and confidence in the marketplace.

As Carro’s Chief Scientist, Bryan leads technological innovations in Carro’s Southeast Asia operations for various countries in South East Asia, each with unique market dynamics. This includes the wide deployment of data analytics and statistics, data modelling and machine learning to actualise business objectives.
Currently, Bryan also runs the largest used car marketplace in Indonesia as CEO, Carro Indonesia. Scaling the business successfully with AI, he achieves an annual revenue in excess of US$20 million with record-high gross profit margins.
Here at Carro, we harness data, science and tech to drive innovative projects, establishing Carro as a top used car marketplace in Asia. In 2024, we’re honoured to be the top automotive company on the list of Singapore’s fastest-growing companies 2024.
Bryan is also an established academic, obtaining his PhD from the University of Cambridge in Earth Science. He has taught and spoken at renowned academic institutions including Goldschmidt-Paris, University of Cambridge, Oxford University and Australian-ANSTO on a wide variety of topics ranging from nuclear physics to computer engineering. He is also an esteemed associate/ fellow of professional organisations such as The Geological Society, London, The Oxford and Cambridge Society of Singapore, Society of Medical Physicists (Singapore) etc.

The insurance industry is on the cusp of a major transformation as artificial intelligence (AI) becomes increasingly integrated across the entire value chain. In the next five years, AI will enable insurers to predict and prevent risks, make claims processing seamless, and supercharge the customer experience. This will have one of the most profound impacts seen to date on the industry, with insurers meeting more customer needs than ever, and running more productive, efficient and successful businesses.

One of the key ways in which AI is changing the face of the insurance industry is through the use of predictive analytics to identify potential risks and prevent losses before they occur. For example, water leak sensors in homes can be augmented with AI technology, enabling insurers to proactively take steps to mitigate potential losses. Similarly, AI can help people manage the rise of “modern” risks such as cyber risks as well as misinformation by flagging fake videos/images and helping insurance companies detect fraud more effectively.

Another way in which AI is transforming the industry is through the automation of underwriting and claims processing, reducing costs and uplifting efficiency with faster and more accurate services to customers, without the need for manual, laborious underwriting. In terms of customer experience, AI is enabling insurers to develop personalised insurance products that better meet the needs of individual customers while generative AI chatbots can help train agents and better explain products to customers.

By identifying specific risks and developing tailored insurance products with comprehensive coverage, customers can protect against the possible losses of today, as well as the changing risks in their future daily lives.

Philip Weiner oversees the data insights function at bolttech. Over his career, Philip has used his passion and creativity to put customers’ needs first and create new and unique data-driven solutions. Prior to joining us, Philip worked in insurance and consulting across various functions including product, finance, and risk management.
When not in the office, he spends most of his time chasing his three young kids around his apartment.

– AI architecture in Techcombank
– AI use cases in Techcombank
– Some measures of productivity and ROI

Mr. Santhosh has more than two decades of global experience in the banking and finance sector with a strong focus on data, analytics and digital. He is the Chief Data and Analytics Officer, the mastermind for “all things data,” including advanced analytics, engineering, business intelligence, machine learning, governance, monetization, and data partnerships. Being a Key member of the bank’s executive team, he plays an instrumental role in driving the bank’s success.

Before joining Techcombank, Mr. Santhosh was the Managing Director & Global Head of Digital Foundation Technology at Standard Chartered Bank in Singapore, spearheading the bank’s digital transformation. During his tenure there, he also held the position of Global Technology Head of Data, Analytics & AI and Global Head of Enterprise Data Management, overseeing the strategy, design, development, and delivery of the bank’s Enterprise Data Management platform.

Prior to his time at Standard Chartered, Mr. Santhosh held senior leadership roles at Citibank, Singapore, where he led the delivery, implementation, and support of data warehouses across 15 countries in the EMEA region. In his final role at Citibank, he headed up the development team that revolutionized the banking industry by creating the world’s first touchscreen paperless onboarding systems at Citibank, Japan.
Mr. Santhosh holds double master’s degrees in Computer Applications and in Software Engineering. He is an alumnus of the National University of Singapore.

This panel will share the specific use and benefits of AI in their company, and then focus on the risks from AI. We ask panelists to share their use cases, the AI risks they identified, and practical advise on managing the AI risks.

Neumann Chew C.H. was previously Principal and Head of Analytics at SAS Institute where he designed and lead advanced analytics solution for government agencies, banks, insurance companies, hospitals, and large corporations.

Currently, he teaches Analytics and Machine Learning, design Machine Learning projects for companies, and wrote the textbook Artificial Intelligence, Analytics and Data Science, Volume 1.

Mr Benedict Tan is the Group Chief Digital Strategy Officer (GCDSO) and Chief Data Officer (CDO) for Singapore Health Services (SingHealth) cluster.

SingHealth is Singapore’s largest healthcare cluster offering a complete range of multi-disciplinary and integrated medical care through a network of four hospitals, five National Specialty Centers and ten Polyclinics. As an Academic Medical Center, SingHealth pursues innovations to transform patient care delivery, and galvanizes the best clinical and research capabilities to discover new and better care for our patients.

As GCDSO for SingHealth, Benedict drives SingHealth’s digital strategy and roadmap to enrich the digital experience of patients and staff. His portfolio includes critical functions such as IT delivery and support, cybersecurity, analytics, data management and data governance. He also promotes the effective use of data in a secured manner, to support digitalization efforts as SingHealth’s CDO.

Benedict has more than 30 years’ experience in the specialized healthcare-IT industry spanning both private and public institutions including Ministry of Health, National Computer Board, SAP and SingHealth, and many distinct roles and responsibilities such as project manager, business development, product manager and implementation consultant. He has played key leadership roles in
the implementation of several large-scale IT and process reengineering projects such as the Civil Service Medical Claims Reengineering initiative, SGH Bed Management and SingHealth Electronic Medical Records (EMR). Benedict has also led IT- enablement projects for many SingHealth facilities such as Academia, National Heart Center Singapore, and polyclinics.

Benny has spent over 15 years at McAfee and more than two decades in the cybersecurity field, beginning his career as a systems security engineer at the Ministry of Home Affairs. There, he was instrumental in establishing security standards for the public sector. With his vast knowledge in cybersecurity and telecommunications, Benny spearheads the creation of innovative solutions to safeguard businesses and individuals from cyber threats. He possesses a Bachelor’s degree in Electrical and Electronics Engineering and an Executive MBA from Nanyang Business School at NTU.

David Tan is the Chief Data Officer at Income Insurance. As an executive leader, he designs and leads the data, analytics and AI capability development across the organization. He focuses on driving partnerships with cross-functional leaders and executives to leverage data and AI/ML to achieve digital transformation, business growth and efficiency.

David is an experienced technology leader having led strategy, data, analytics and AI transformations in the financial industry across Asia-Pac. He has built and led enterprise teams across Data & Analytics COEs, Risk Management, Marketing and Operations to drive digital, data and AI capability transformations.

He has worked and lived in multiple countries across the Asia Pacific region, driving commercialization of technology across multiple different cultures. In addition to his academic technology background, David is also a CFA charterholder.