AI: The Game Changer
Faculty of Science
National University of Singapore
Block S17, Level 3
10 Lower Kent Ridge Road
The theme for this conference is “AI: The Game Changer”. This conference is a platform for AI industry experts and educators to present and discuss how AI impacts their company or industry. In particular, how AI makes business processes more efficient and can give your company an advantage over your competitors.
Come and gain insights and new skills to advance your career in artificial intelligence, as well as to engage with AI industry experts.
The event is open to industry professionals, academics & students who are interested in Artificial Intelligence (AI) and how it enhances customer experience and impacts business operations, thereby increasing the productivity and profitability of the company.
Engage in thought leadership discussions and networking with AI experts from diverse sectors
Learn about leading AI technologies and strategies to succeed in a data-driven world
Understand how academia - industry collaborations contribute towards Singapore’s Smart Nation Vision
Prof Hargreaves is an analytics and business intelligence professional with over 28 years’ analytics experience. She has held leading roles in the pharmaceutical, healthcare, fast-moving consumer goods and education industries.
Prof Hargreaves has worked with various leading companies to make businesses more intelligent. These include Pfizer, Novartis, MSD, Nestlè, MasterFoods, Goodman Fielder, Foxtel, Aztec (acquired by IRI), Cegedim Strategic Data (acquired by Quintiles IMS), the National Health and Medical Research Council and the National University of Singapore (NUS).
Prof Hargreaves’ role includes analytics training, designing analytics courses, and providing analytics advisory and consulting services. She is also a noted keynote conference speaker.
Prof Hargreaves has a passion for solving business problems using analytics and machine learning techniques to build data-driven solutions. Through faster and smarter business processes, her clients are empowered for organic revenue growth and to make effective decisions.
Dr. Ayesha Khanna is Co-Founder and CEO of ADDO AI, an artificial intelligence (AI) advisory firm and incubator. She has been a strategic advisor on artificial intelligence, smart cities and fintech to clients such as SMRT, Singapore's largest public transport company, SOMPO, Japan's largest insurance firm, and Smart Dubai, the government agency tasked to transform Dubai into a leading smart city. In 2017, ADDO AI was featured in Forbes magazine as one of four leading artificial intelligence companies in Asia and Ayesha was named one of South East Asia's groundbreaking female entrepreneurs by Forbes magazine in 2018. Ayesha is also the Founder of 21C GIRLS, a charity that delivers free coding and artificial intelligence classes to girls in Singapore.
Ayesha has a BA in Economics from Harvard University, an MS in Operations Research from Columbia University and a PhD in Information Systems and Innovation from the London School of Economics.
Artificial Intelligence: From Hype to Reality
Dr. Khanna differentiates the key reasons why some companies succeed in using AI and others fail. Using real case studies from her experience as CEO of ADDO AI, one of the leading Enterprise AI solutions firms in Asia, Dr. Khanna highlights the AI journey for corporations and governments, outlining how to identify the best use case, the makeup of a diverse team for developing AI-powered products, and how to ensure your employees and partners are empowered to benefit from this journey.
Laurence is the Director for AI Industry Innovation at AI Singapore and is driving the adoption of AI by the Singapore ecosystem through the 100 Experiments and AI Apprenticeship programmes. A visionary and serial technopreneur, Laurence identified and introduced Singapore's enterprises to:
• Linux and open source in 1999, by being the first RED HAT partner and authorized training centre in Asia Pacific • High Performance Computing (HPC) Cluster in 2001, by building ASTAR’s IHPC first compute cluster (most of the initial HPC clusters in NUS, NTU, SMU were built by Laurence and his team) • Grid Computing in 2003, by building and operating Singapore's first Grid platform - IDA's National Grid Pilot Platform • Cloud Computing in 2007, by architecting both the Cloud business and technology for then Singapore Computer Systems' Alatum Cloud (now owned by Singtel) • Open Source Analytics in 2011, by building Revolution Analytics Inc business in Asia and R&D team in Singapore. Revolution Analytics was acquired by Microsoft in 2015.
Laurence graduated from National University of Singapore (NUS) with First Class Honours in Engineering and holds a Masters in Knowledge Engineering from NUS. Pro-bono appointments: 2018 – Chairman, AI Standards Technical Committee, ITSC 2018 – Advisor, SGTECH AI+HPC Chapter 2018 - Microsoft Regional Director (RD). RDs are an elite, worldwide group of around 150 technology thought-leaders who will provide the Microsoft senior leadership team with unbiased third-party industry feedback on technology trends and Microsoft technologies. 2018 - Technical Workgroup for IMDA National ICM Technology Roadmap - Track T4 (AI and Data, and Blockchain) 2013 – 2015 - Working Group Member, National Infocomm Media Masterplan 2025, Infocomm Development Authority of Singapore
Accelerating the adoption of AI in Singapore
Briefly discuss the AI landscape and how AI Singapore is helping to accelerate the adoption of AI by companies in Singapore and also building up Singapore's AI talent pipeline.
Priyanka is currently the Head of Analytics at SingHealth where she heads up the advanced analytics practice and is responsible for the positioning of business analytics advisory and services across the healthcare cluster. As Head of Insights, Priyanka is responsible for the visioning, planning and implementation of analytical capabilities and programmes across the care continuum. Previous to her current engagement she had established expertise in developing and implementing several projects across Enterprise data warehouse, Predictive Analytics, Text Mining and Data Discovery through her involvement in a number of Health IT projects in the domains of Clinical Practice, Hospital Operations, Finance and Population Health Management. Priyanka has received her Bachelor degree in Engineering from India and Masters in Business administration from Singapore Management University. She regularly tutors, advises and provides consulting support in Data Science and Business Analytics.
Unraveling the AI Narrative in Healthcare
From my very first project in healthcare to the current one, I have been focused on finding the story that befits the outcome – better patient care .I intend to do the same in this dialogue and thus focus on finding the rich narrative of Artificial intelligence. There are challenges as I try to unravel this narrative. Usually AI narratives have open ending, the story can be influenced by bias and judgment which we perceive as “data” and lastly technology seems to be the driving force of this narrative. Langdon states my fears, “what matters is not technology itself, but the social and economic system in which it is embedded’ (Winner, 1980, p.123)
Rafael Alvarado describes the situation aptly with the analogy of a small town that has been rated as a great place to raise a family (Svensson, 2016); the town has to be accommodating to make new comers feel comfortable; correspondingly, they should show interest in understanding the place’s history. But, every new comer may not be able to adjust to the town, while the town may not be capable to adapt to every new person. In my opinion, AI is the newcomer trying to adjust in a new town, and we might need to focus on the intensions of its makers as it will be a game changer.
Dr Gopal graduated with a B.Sc. (Hons) in Mathematics from the National University of Singapore (NUS) in 2001. Upon graduation, he analysed encryption algorithms at the Centre for Strategic Infocomm Technologies. He then pursued his Ph.D. in Statistics at the University of Florida, writing a dissertation on parallel Makov Chain Monte Carlo methods. He returned to Singapore in 2011 to work for IBM Research, where he worked with Government agencies on data analytics projects focusing on spatio-temporal models. His research interests are in the areas of computational methods, simulation techniques and exploring data in general. He is a keen R user and regularly organises talks for the R User Group of Singapore, which comprises R language enthusiasts, hobbyists and professionals from diverse backgrounds. Since joining NUS in 2013, Dr Gopal has received two teaching awards from the Faculty of Science.
Data Science in Education
In this talk, I will share how data science is changing the way I improve the delivery and content of my courses.
Praveen is a data scientist at the office of healthcare transformation (OHT), under the ministry of health. At OHT, he focuses on data analytics to uncover potential areas of transformation, as well as work towards strategizing the technological solutions with the ultimate goal of optimization of Singapore healthcare system. Prior to OHT, he was a data scientist at Holmusk, a digital health start-up where he worked in data-based models of disease onset and progression. Praveen has a PhD from NUS, where he did experimental studies on emerging spintronic devices.
The role of data science and AI in healthcare:
Data science and artificial intelligence has immense potential to transform healthcare, by taking advantage of large amount of patient’s clinical data that it holds. AI can enhance quality of clinical care using clinical decision support systems, automated diagnostic imaging, interpretation of lab tests, and personalized advice. Data science and technology, much like other industries, can greatly optimize the utilization of resources and identify shortcomings in the operations and delivery of healthcare.
In this talk, we will discuss how healthcare can learn from the examples of success stories in other industries and apply these ideas in the unique context of healthcare.
M Shahrin Osman joined DNV GL Maritime Advisory Asia-Pacific unit in 2008 after more than 15 years working in Maersk and P&O Nedlloyd with regional line management responsibility covering procurement, operations, efficiency improvements, IT implementation and change management for Asia-Pacific countries based in Singapore. His interest in Collaborative Leadership, Industry Cluster analysis, Strategy, Maritime Sustainability, Digitalisation and International Benchmarking have guided his work at DNV GL to serving internal and external clients within the maritime industry in South East Asia, Indian Sub-continent, Middle East and Europe. Shahrin has been a frequent guest speaker at industry conferences focussing on the topic of Maritime Cluster, Digitalisation and Sustainability in the maritime sector. He is the co-author for the third edition of the influential "Leading Maritime Capitals of the World" 2017 report which benchmarks the world's top maritime hub cities using nearly 50 objective and subjective indicators, working together with Menon Economics of Oslo. This year, he co-author the research on “Leading Maritime Nations of the World 2018”. In his current role, he is also responsible for R&D, innovation and digitalisation initiatives for maritime eco-system in Singapore, including working with start-ups. He has a Bachelor in Management from University of London, MSc in Maritime Studies from NTU Singapore and currently completing his Doctorate degree with research on maritime cluster strategy, innovation and location decision for knowledge-based maritime activities.
Application of AI/ML for operational performance improvement in Maritime Assurance process
DNV GL - Maritime is using several machine-based solutions that have simplified, streamlined and guided both our own processes and interaction with customers. In addition, the provided solutions ensure quality and knowledge-based processes. Our Class Development machine learning team won the “BI Prisen”, an industry-wide award, for the ML delivery model, producing solutions used in several DNV GL applications such as Technical Helpdesk. From a large number of nominees, four finalists were shortlisted by a jury for the award. DNV GL excelled against highly professional teams from other sectors such as aviation, the power grid and automotive sector.
Hernan, general manager at Kantar group, has more than 20 years of international experience in working with clients to help their brands grow and managing teams to develop consulting solutions in the areas of Brand management, Media planning and Shopper marketing in different economic sectors. Hernan is currently the Head of Expert Solutions (Asia), the marketing consulting arm of Kantar Worldpanel and Managing Director for the Kantar Brand Growth Lab in Singapore. The Lab, launched with the support of Singapore’s EDB, specializes in data science, AI and machine learning, looking into new ways of leveraging big data to drive strategic decision-making for business. Prior to his current position, he worked at Havas Media, leading the Strategic Communications Planning, Research & Modeling and Marketing Technology areas, globally. With his team, they pioneered the application of artificial intelligence analytics to improve the impact of marketing investment decisions and launched Meaningful Brands, the first global brand building framework and research that connect brand’s performance with people’s wellbeing . He was Board member at IRI Spain and partner at Neo-Metrics, a big data analytics company acquired by Accenture. Hernan was named Media Maven by Advertising Age Magazine in 2010 for his work on sustainability & marketing. He’s been quoted in publications such as Financial Times, Fast Company and The Guardian.
Integration – Impact
Across industries managers are growingly concerned about how to integrate the multiple sources of information that they get from different channels and by doing it, maximize the impact of its use. Achieving these goals require clear conceptual frameworks, strong data and AI. At the Lab, we work to align these elements to help marketing teams building strong brands. In our presentation we‘ll share examples of our work in this area.
Dr. Erik Selberg is the Head of Engineering for Data at Grab, leading Grab’s strategy in areas including artificial intelligence, big data, data warehousing, data science, real-time streaming data, and civic research. These are the core capabilities at Grab that enable critical functions such as route optimization, pricing, simulation, and driver allocation that power a safe, seamless and rewarding experience for millions of Grab’s passengers, drivers, and merchants. Before joining Grab, Dr. Selberg spent some time working with various early stage startups in Seattle after an 8-year career at Amazon, where he was the Director of Engineering for the Big Data and Data Warehouse Team. Prior to Amazon, Dr. Selberg was at Microsoft, where he drove the first use of a neural network to power the Bing relevance engine. Dr. Selberg earned his Bachelor of Science in Math/Computer Science from Carnegie Mellon University and his PhD in Computer Science and Engineering from the University of Washington. His doctorate focused on parallel search and he created MetaCrawler, one of the first parallel search engines for the Web. MetaCrawler is still in operation today.
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