Robert J. Kauffman
Professor of Singapore Management University
Robert J. Kauffman is Professor of Information Systems at the School of Information Systems, Singapore Management University. He also serves as Associate Dean (Faculty), and was previously Associate Dean (Research) and Deputy Director of the Living Analytics Research (LARC) there. He also was a Distinguished Visiting Fellow at the Center for Digital Strategies at the Tuck School of Business, Dartmouth College. And he served on the faculty at business schools of New York University, the University of Rochester, the University of Minnesota, and Arizona State University, where he held the W.P. Carey Chair in Information Systems. His graduate degrees are from Cornell (M.A.) and Carnegie Mellon (M.S., Ph.D). His research interests span IT and business value, economics, marketing and consumer behavior, competitive strategy and the fintech revolution, and computational social science and data analytics. His articles have appeared in Management Science, Information Systems Research, Journal of Management Information Systems, MIS Quarterly, Organization Science, and the Review of Economics and Statistics, among others. He previously contributed special issues to Decision Support Systems on ‘Market Transformation to an IT-Enabled Services-Oriented Economy’ (2015) and to the Journal of Management Information Systems on ‘The Fintech Revolution’ (late 2017). He is currently Editor in Chief of Electronic Commerce Research and Applications.
Title: Combining Machine-Based And Econometrics Methods for e-Commerce Insights
11:55 – 12:40, Aug. 17 (Thu), Conference Room
Computational Social Science (CSS) has become a mainstream approach in the empirical study of policy analytics issues in various domains of e-commerce research. This keynote presentation for ICEC is intended to represent recent advances that have been made for the discovery of new policy-related insights in business, consumer and social settings in the e-commerce domain. The approach discussed is fusion analytics, which combines machine-based methods from Computer Science (CS) and explanatory empiricism involving advanced Econometrics and Statistics. Recent developments and shifts in the scientific study of technology-related phenomena and Social Science issues in the presence of historically-large datasets prompt new forms of research inquiry. They include blended approaches to research methodology, and more interest in the production of research results that have direct application to industry contexts. Examples and illustrations from recent research will be discussed, and some conclusions will be shared related to the manner in which effective industry-based studies can be carried out.
Professor of UMinho
Professor of Computer Science at the Department of Informatics, in the University of Minho (Braga, Portugal) and a researcher at the ALGORITMI Centre. From the same university he received a PhD in Computer Sciences in 2003 and his Habilitation in Computer Science in 2011.
He started his career developing scientific research in the field of Intelligent Systems/Artificial Intelligence (AI), namely in Knowledge Representation and Reasoning, Machine Learning and Multi-Agent Systems. His interest, in the last years, was absorbed by the different concepts of Ambient Intelligence, Ambient Assisted Living, Intelligent Environments, AI and Law, Conflict Resolution and the incorporation of AI methods and techniques in these fields. His main research aim is to make systems a little more smart, intelligent and also reliable.
He has leaded and participated in several research projects sponsored by Portuguese and European public and private Institutions and has supervised several PhD and MSc students. He is the co-author of over 180 book chapters, journal papers, conference and workshop papers and books.
He has been chair of the Organising or Scientific Committee of ISAmI (International Symposium on Ambient Intelligence), ESM 2011 – European Simulation and Modelling Conference, SOCO 2011 (International Conference on Soft Computing Models in Industrial and Environmental Applications) and PROVE 2007 (IFIP Working Conference on Virtual Enterprises) and member of organising committee of several others events (e.g., Pervasive Health 2011, Intelligent Environments 2011, ECAI 2010, EPIA 2007).
Title: People-Aware Systems – The challenges of a new approach
10:05 – 10:50, Aug. 17 (Thu), Conference Room
The trend of mHealth, or mobile health, emerge recently as a result of technological evolution and miniaturization and the users’ interest in monitoring and improving health and well being. Other that improving of informing about personal health, it also allows for the development of better assistive environments. Nonetheless, existing approaches are generally based on physiological sensors, which are intrusive and cannot be realistically used. This is especially true in environments in which the transparency, pervasiveness and sensitivity are of importance, such as in Ambient Intelligence and Electronic Commerce.
We put forward a new approach to the problem in which user behavioral cues are used as an input to assess the individual’s inner state. This innovative approach has been validated by research in the last years and has characteristics that may enable the development of true unobtrusive, pervasive and sensitive ambient intelligent systems. Specifically, this approach has been proven to be useful in quantifying aspects such as stress, fatigue or attention.
Professor of BI Norwegian Business School
Vegard Kolbjørnsrud (PhD) is an Assistant Professor in Strategy at BI Norwegian Business School and a Senior Research Fellow with Accenture. Vegard is researching, teaching, and consulting on strategy, new organizational forms, digitalization, and business models. His areas of expertise also include governance and organization design, communities and crowdsourcing, open innovation, digital strategy as well as the impact of AI on management. Vegard has recently published in journals like Harvard Business Review, Strategic Organization, and Strategy & Leadership and his research has been covered in national and international news media. He is a frequently used speaker at business and academic conferences. Vegard has 16 years of strategy consulting experience from Accenture.
Title: How Artificial Intelligence Will Redefine Management
14:00 – 14:45, Aug. 17 (Thu), Conference Room
Artificial intelligence (AI) is about to enter businesses en masse. But unlike prior waves of new technology—which have largely disrupted blue collar and service jobs—recent advancements in AI will affect all levels of management, from the C-suite to the front line. AI not only presents unprecedented opportunities for value creation, but also daunting challenges for executives and managers. It will force them to reconsider their own roles and redefine the fundamental operating principles currently guiding their organizations. Division of labor will change, and collaboration among humans and machines will increase. Companies will have to adapt their training, performance and talent acquisition strategies to account for a newfound emphasis on work that hinges on human judgment and skills, including experimentation and collaboration. This keynote presentation reports on the findings from a survey of 1,770 managers from 14 countries and interviews with 37 executives in charge of digital transformation at their organizations, and it outlines the skills and practices managers need to master in the era of intelligent machines.
President and CEO of General Vision Inc.
Guy is the inventor of the ZISC (Zero Instruction Set Computer), a neural network digital chip back in 1993. He brings a long experience in semiconductors, in hard-wired artificial vision systems and in parallel pattern recognition architecture to the company. He is an “out-of-the-box” thinker and can solve complex problems related to sensing (especially vision) and artificial intelligence with elegant, yet practical solutions. Guy talent has served in several companies including Data Sud Systems (DSS), IBM, EuroPixels and General Vision Inc.
Title: To be announced.
15:50 – 16:35, Aug. 17 (Thu), Conference Room
Jae Kyu Lee
Chair Professor of Yonsei University, Professor Emeritus of KAIST
Past President of Association for Information Systems (2015-2016)
Jae Kyu Lee, Ph.D., is the Chair Professor at School of Business, Yonsei University and Professor Emeritus of KAIST (Korea Advanced Institute of Science and Technology). He is also a Fellow Professor at Xi’an Jiaotong University and Distinguished Visiting Professor of Heinz School at Carnegie Mellon University. He is the Director of Bright Internet Research Center at Yonsei University and KAIST. He was the HHI Chair Professor in the College of Business at KAIST (Korea Advanced Institute of Science and Technology). He served for the President (2015-5) and Fellow of Association for Information Systems, the global organization of 4,000 Information System researchers. He was the founding editor-in-chief of the journal, Electronic Commerce Research and Applications (Elsevier, SSCI and SCIE Accredited), and was the founding chair of the International Conference on Electronic Commerce. He was the president of academic societies such as Korea Society of Management Information Systems and Korea Society of Intelligent Information Systems. He published numerous papers in the areas of information systems, AI applications, electronic commerce, and received the best paper awards 13 times.
Title: Market Driven Bright Internet Business Models
14:45 – 15:30, Aug. 17 (Thu), Conference Room
The Bright Internet pursues three goals of preventive security, freedom of anonymous expression, and privacy protection. To fulfill these conflicting goals, five design principles are specified: Origin Responsibility, Deliverer Responsibility, Identifiable Anonymity, Global Collaborative Search, and Privacy Protection. The technologies, policies, and global collaboration are holistically designed to realize these principles, but the full-fledged development and deployment will take a long time. So we propose the focused market driven business models. We illustrate with two business models – Bright e-Mail and Bright Cloud Extended Network with example cases. These platforms can become a secure Bright Internet platform for next generation e-commerce.
Bright e-Mail: To prevent the generation of malicious e-mails, the Bright e-Mail services can be adopted as a business model in the following way. First of all, the victims who received malicious spam mails can report the cyberattacks to the Bright Internet Center. The Bright Internet Center will build a database of such reports and the lawyers will file collective compensation lawsuits against the malicious origins. The Bright Internet Center will also publicize who are globally bad neighbors and this will motivate the origin servers to screen out the generation of malicious mails from their own systems. The collected compensation can be paid back to reporting victims as incentive.
Bright Cloud Extended Network: The Bright Cloud means the Bright Internet based Cloud Services that can prevent the cybercrimes hosted by cloud services platforms. The major benefit to clients is that they can gain trust from the internal tenants and external business partners. To escalate the network effect, multiple Bright Clouds can be interconnected via virtual private network expanding to the Bright Cloud Extended Network. The tenets in the Bright Cloud Extended Network can trust each other, and thus this platform can upgrade their opportunity of online business partnership with higher trust.
Professor of Ewha University
Kyung-shik Shin is a Professor of Ewha School of Business, a Head of Department of Big Data Analytics, a Head professor of Big Data MBA, and a Director of Ewha Center for Knowledge & Information Systems. He held a position as a President of Korea Intelligent Information System Society, and is currently an Honorary President, a Chief Editor of The Journal of Intelligence and Information Systems, and an Executive Vice-president at Korean Academic Society of Business Administration.
His research interests cover artificial intelligence applications in business domain including financial big data analytics, data mining and machine learning. His researches have appeared on Journals such as Journal of Management Information Systems, Decision Support Systems, Information Science, and Expert Systems with Applications, etc. He also had successfully worked on more than 70 funded industrial projects of intelligent information systems mainly for financial institutions such as KB Kookmin Bank, Shinhan Bank, Woori Bank, and Nonghyup Bank, etc. The developed systems using big data and machine learning include intelligent credit rating systems, operational risk management Systems, fraud detection systems, anti-money laundering systems, and marketing support systems, etc.
He graduated Yonsei University with Bachelor’s Degree of Business Administration, MBA from George Washington University, and Ph.D. from Korea Advanced Institute of Science and Technology. He was invited as a Visiting professor at Harvard University, National University of Singapore, and University of Hong Kong. He has been awarded more than 10 times as the Best Paper for his business application study on Intelligent Technology, including Decision Sciences Institute.
Title: Business Transformation Using Artificial Intelligence; How Do I Get Started?
09:20 – 10:05, Aug. 17 (Thu), Conference Room
It is indisputable that not only land and labor, but also ‘Knowledge’ as working know-how is considered as the key factors of production in modern economy. It is fascinating that acquisition and application of business knowledge, with the help of intelligent technologies such as big data, machine learning and artificial intelligence, is now allowing cost reduction and increasing productivity. In other words, we expect to maximize productivity by using Machine and Artificial Intelligence as primary factors of production.
However, despite the new innovative opportunity given by artificial intelligence, it is not easy for business entity to accept it, use it, and lead it to business performance. We have learned that ‘superior technologies’ do not guarantee ‘business successes’ from our old experiences when introducing Information Systems. To make technology lead to success, we need not only superiority of technology but also successful strategy of adopting and establishing it. We have to let our knowledge workers be ready for the change who believe that Information System is restricted only to transactional processing and calculations and not to knowledge processing. Moreover, we need to face ‘change monster’ provoked by changed working environment. In this lecture, we will look through the key elements for business entity to successfully introduce and use artificial intelligence, and to lead its business performance.
He graduated with a B.S. (1990), M.S. (1992), and Ph.D. (1995) in Management Science from the Korea Advanced Institute of Science and Technology (KAIST). He also completed a M.S. and Ph.D. course in Public Administration at Seoul National University in 2003. He won the Innovative Applications of Artificial Intelligence Awards in 1995 and 1997 from the Association for Advancement of Artificial Intelligence (AAAI), and served as a visiting scientist and professor at Carnegie Mellon University (1995-1996), the Massachusetts Institute of Technology (2009), and the University of California at Berkeley (2010) in the United States of America.
Title: “How to apply AI innovatively for your business?”
09:20 – 10:05, Aug. 18 (Fri), Conference Room
Jin Hyung Kim
He received BS in Seoul National University, MS and PhD in computer science at UCLA. He worked at KIST, Hughes Research Laboratories before joining the faculty of KAIST Computer Science Department in 1985. He served as the department head, director of Center for Artificial Intelligence Research, and the founding head of Software Graduate School. His research interest spans various subfield of Artificial Intelligence such as probabilistic reasoning, neural networks, pattern recognition, and recently on computing education.
On leave from KAIST, he worked at IBM Watson Research Center, Samsung as a visiting scholar, and at Korea Institute of Science and Technology Information as the president. After retirement from KAIST in 2013, he founded and headed Software Policy Research Institute which develops SW policy for Korean government. He served in several professional societies, numerous conferences and several editorial boards; Steering committee chair for Pacific Rim Artificial Intelligence Conference; key positions in the Pattern Recognition and Document Recognition field.
He is a fellow of IAPR, KAST, NAEK. He served as the president of Korea Information Science Society, Korea Cognitive Science Society, and Korea Medical Information Society. He received the Order of Industrial Service Merit in 2015, the Order of Service Merit in 2001 from Korean government, and Distinguished ICT Individual from Asian-Oceanian Computing Industry Organization in 2016.
11:10 – 11:55, Aug. 18 (Fri), Conference Room
CTO, EVP and Head of Corporate R&D Center, SK Telecom
Dr. Alex Jinsung Choi is serving as the CTO, EVP and Head of Corporate R&D Division. He joined SK Telecom in 2012 as the Executive Vice President and Head of Technology Strategy Office. He is responsible for building the company’s technology roadmaps and strategies, aimed at securing technology leadership in the rapidly evolving mobile marketplace. In line with the company’s efforts to lead 4th industrial revolution with new ICT technologies, his focus is currently on developing next generation ICT technologies such as Artificial Intelligence, 5G, and autonomous vehicle. One of the areas that he is focusing now is Artificial Intelligence, and he led the launch of “NUGU”, the first AI based virtual assistant device in Korea last year.
Dr. Choi has over 20 years of experience in the mobile telecommunications industry. Before joining SK Telecom, he held various key positions at LG Electronics including EVP & Head of Mobile Communications Business Unit, EVP & Head of Mobile Core Technology Lab and SVP & Head of Next-Generation Telecommunications Lab. He is credited with developing the world’s first LTE handset modem chip and launching LG’s first Android smartphone. He has also actively participated in ICT standardization activities. He is the chairman of Korea Artificial Intelligence Industry Association, and has also actively taken part in global standardization activities through 3GPP, NGMN, OMA and ITU. In addition, he is the chairman of TIP, Telecom Infra Project led by Facebook, Deutsche Telekom and SK Telecom.
He received his Bachelor’s degree in Control and Instrumentation Engineering from Seoul National University; and Master’s Degree in Computer Engineering and Doctor’s degree in Electrical Engineering from University of Southern California.
Title: Industry Perspective of AI based digital transformation
10:05 – 10:50, Aug. 18 (Fri), Conference Room
The rapid growth of AI technology is enabling radical changes in the way business value is created. By storing and accessing large amounts of real-time digital data via Big Data technology and utilizing it through AI technology, which was impossible in the previous analog era, companies can create real business value, such as expanding the scope of business area, increasing value of existing business, and maximizing operational efficiency. We call this Digital Transformation. Large global enterprises such as GE, PHILIPS and UNIQLO are already gaining substantial benefits through Digital Transformation, and many startups are also aiming to enter the industrial digital transformation market based on AI technology.
SKT is also adapting Digital Transformation in various fields such as media, Big Data, IoT as well as communication network, with leveraging vast digital data that have been accumulated for several decades. Examples are NUGU which is an AI based virtual assistant speaker, TANGO which is a next generation OSS system, T-View which is AI based video surveillance platform, and Autonomous Vehicle. Meanwhile, one of the most important technologies for digital transformation is the infrastructure for efficient AI processing. In particular, the semiconductor for AI acceleration is the key technology that global major players, including Google TPU, and a large number of startups are jumping into. We are collaborating with SK Hynix to conduct R&D on next-generation AI semiconductors. By doing this, we will upgrade our AI-based services in a cost-effective way and further attain vertically optimized AI technology competitiveness from services to AI platform S/W and AI processing H/W.
Seong Ju Kang
director general of ICT Industry Policy Bureau at Ministry of Science and Technology
Seong Ju Kang is a director general of ICT Industry Policy Bureau at Ministry of Science and Technology, ICT & Future Planning(MSIP). His main business area is the ICT industrial policy such as 5G, 3D printing, ICT R&D, start-ups development. He entered a public office in 1987 and underwent major roles in ICT policy such as a director general of Internet Convergence Policy Bureau at MSIP and an assistant secretary to the president on ICT policy agenda including e-government, e-health, and ICT industry at office of the president of Korea. In addition he has served as Vice Chair of OECD Public Governance Committee since 2013. He earned a Master’s degree in public administration at Syracuse University in 2000 and completed a doctoral study in public administration at Pennsylvania State University in 2002. Main fields of major are public management, policy analysis and information system.
Title: Policy direction toward ‘Smart Connected World’
11:25 – 11:55, Aug. 17 (Thu), Conference Room
Technological development is driving social innovation by leading the socioeconomic paradigm shift of each era. Currently, intelligent information technology is driving the 4th industrial revolution, thereby transforming the socioeconomic spectrum and people’s lives. Data and knowledge are becoming the new competitive sources of our industries. Industry’s competitiveness is going through a change centered on platform and ecosystem creating and utilizing data. Simple and repetitive task is becoming automated. The value of work based on creativity and emotion which is difficult to be automated is rising, transforming employment structure in the process. While more of customized service is provided in areas including education, medical service and welfare, side-effects such as hacking, economic polarization, leaking of personal information are increasing at the same time. Against this backdrop, giving out a comprehensive policy direction based on public and private partnership is crucial in order to take a successful leap forward to a human-oriented intelligent information society. Examples of this would be first, establishment of next-generation network including R&D investment and 5G for taking a dominant position in intelligent information market. Second, providing an innovative service of the future including creation of market-oriented new industry ecosystem, intelligent transportation system, and customized medical service. Third, nurturing talents specializing in intelligent information through initiating innovation in education. Fourth, checking on legislation and setting moral values in preparation of future intelligent information society.
Professor of KAIST & the Director of Artificial Intelligence Application & Industrialization Steering Taskforce, Ministry of Trade, Industry & Energy.
Title: To be announced.
16:35 – 17:20, Aug. 17 (Thu), Conference Room