“2016, market research from Asian firm Tractica foresaw that AI revenue will surpass US$16 billion by 2022, and will reach US$36.8 billion globally by 2025”.
Disruption from artificial intelligence (AI) is here, but many company leaders aren’t sure what to expect from AI or how it fits into their business model. Yet with change coming at breakneck speed, the time to identify a company’s AI strategy is now. Asia is in well position to ride the wave of AI. Already, several major Chinese players like Baidu, Alibaba and Tencent have jumped into the race for AI supremacy, while many smaller Asia start-ups from India to Japan are making significant advances in this highly nascent field.
We are seeing governments such as Hong Kong and Singapore increasingly turning to AI to take over various administrative functions. On 3 May 2017, the Singapore government announced that they will be investing $150 million to be a force for AI in the next 5 years. The AI. SG is a government funded scheme and aims to bring together universities and institutes, investors, industry people and start ups to advance AI research development, and practical use in Singapore.
To better understand how you can shape your AI strategy, join us at the A.I. Leaders Forum this 15 May 2018 in Singapore – a platform that promises to bring you NEW voices, NEW ideas and NEW solutions to help you rethink your strategies and get things right as you start to prepare for AI in your business.
Who should attend:
Government agencies, Banking & finance, Insurance, Healthcare, Educational institutions, Transportation, Manufacturing, E-commerce, Airport Groups, Telecoms, Media/ Broadcasters, AI Technology Solution Providers
C-suite executives, AI Lead, AI Scientist, Data Architect
VP, Director, Head of:
AI / Security / Innovation / Digital / Technology/ Data Analytics / IoT/ Research / Emerging Technology / Machine Learning / Deep Learning / Robotics/ Sales & Marketing/ Business Development/ AI Service Business/ Enterprise/ Product Development
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|15 May 2018|
|08:00||Registration + Morning Refreshments|
|08.50||Conference Chair welcome address
Prof Simon Chesterman, Dean of Law School, NUS
|09:00||Opening Keynote: The State of the Practice of AI in the Enterprise
This session will examine the state of artificial intelligence in 2018. We’ll discuss leading AI breakthroughs from various industries, where the technology is headed, and challenges that still need to be overcome.
Dr Ettikan Karuppiah, Director of Developers Ecosystem, NVIDIA
|09.30||Keynote: How speech and language processing can help companies improve quality of services and reduce cost
This session will examine the state of speech and language processing technology. We will address the deployments, benefits and challenges of the technology, and discuss how speech and language processing going to transform in near future.
Dr Bin Ma, Principal Engineer, Alibaba
|10.00||Thought Leaders Panel: How do you approach and translate AI into real numbers for your business – growth, profitability and sustainability
There are highly diverse views, experiences, and expectations from executives who see how they can translate AI for the future of their business. Is the technology ready for prime time or overhyped? Go big and strategic, or pick the low-hanging fruit? This session will look at how business leaders are investing in and applying AI technologies, their successes and challenges, and their expectations for the next 2 years.
- Dr Su Yi, Director, Corporate Technology Management Office, SMRT
- Dr Lawrence Wee, Chief Data Scientist, Allianz
- Dr Ettikan Karuppiah, Director of Developers Ecosystem, NVIDIA
Moderator: Su Lian Jye, Principal Analyst, ABI Research
|10.40||Morning networking break|
|11.10||How AI is transforming smart cities and energy around the world
• Making our cities smarter and safer
• AI and the future of energy
• Contextualizing data with AI
Dr Thomas Ho, Department Head, Smart Energy and Environment, Institute for Infocomm Research (I2R), A*STAR
|11.40||How AI will redesign the healthcare industry
Dr Lawrence Wee, Chief Data Scientist, Allianz
|12.10||How big data and AI will play a crucial role in 2018
• How do analytics and AI help deliver tangible ROI?
• How do you deliver competitive edge with AI and Data?
• The use of AI in data governance, security and compliance
Christopher Muffat, Founder and CEO, Dathena
|12.40||Lunch networking break|
|1.40||Conference Chair Welcome Back Address
Jake Saunders, Managing Director & Vice President, Asia-Pacific & Advisory Services, ABI Research
|1.45||How do you transform your business with AI in the cloud
• Getting ahead of market trends – what do you need to know?
• What’s in it for businesses adopting AI cloud?
• How can AI cuts business’s cloud spending?
• Case studies: What are companies doing globally and regionally in this space
Chris Auld, Principal Technical Evangelist Manager, South East Asia, Microsoft
|2.15||Machine Learning - How to make it add value to your business growth
Machine learning is a hot topic and a top business priority for several years now. In this talk the speaker will reflect on the projects he led and share five lessons learned that would make your ML project more valuable to your customers and ultimately your business.
Nikolay Novozhilov, Head of Digital Products, NTUC Link (former Chief Data Scientist, Wego.com)
|2.45||The Importance of Interpretability the Rules of AI and Machine Learning
With the recent advances in machine learning and AI models have become very complex, including complex deep neural networks and ensembles of different models. The algorithms inside these models do not expose their secrets or provide a clear explanation of why they made a certain prediction. What happens if they learn the wrong thing? What happens if they are not ready for deployment? There is a risk of misrepresentation, oversimplification or overfitting. Thus, the need of interpretability is important especially on how we assess the data and deploy these models. In this presentation, Prof Uno will share the important rules of interpretability and how do we analyze data using AI from a business standpoint.
Prof Uno Takeaki, Principles of Informatics Research Division / Director, National Institute of Informatics (NII)
|3.15||Afternoon networking break|
|3.40||AI and Chatbots – Ethics and Law
• What are the ethical implications concerning the use of AI and chatbots
• The need to keep AI ethical and transparent
• Ownership of information shared with a bot - another key ethical consideration and why it can create intellectual property issues
• The privacy and protection of user data
Prof Daniel Seng, Associate Professor, Director, LLM Programme in Intellectual Property and Technology Law & Information Technology, Faculty of Law, NUS
|4.10||Get Your AI Challenges Solved by our Experts
After a series of short presentations, an open discussion with our AI experts will be hosted. This Q&A session gives you the opportunity to engage with the experts on some of the key challenges you wish for solutions. Send us your questions now…get ready for them to be answered. Your submission will be kept anonymous.
*Email your questions to firstname.lastname@example.org by 4 May 2018
- Christopher Muffat, Founder and CEO, Dathena
- Prof Dai Bing Tian, Director, MITB (AI), Assistant Professor, School of Information Systems, SMU
- Prof Takako Hashimoto, Vice President, Chiba University of Commerce, Director, Institute of Economic Research
- Tentative: Chris Auld, Principal Technical Evangelist Manager, South East Asia, Microsoft
Moderator: Jake Saunders, Managing Director & Vice President, Asia-Pacific & Advisory Services, ABI Research
|4.50||Closing remarks from Conference Chair|
|5.00||End of conference and See you in 2019|
Dr. Bin Ma is a Principal Engineer at Singapore R&D Centre, Machine Intelligence Technology, Alibaba. Before he joined Alibaba, he was a Senior Scientist and the Deputy Head of Human Language Technology Department at Institute for Infocomm Research, A*STAR. He received his Ph.D. degree in Speech Recognition from The University of Hong Kong.
Dr. Ma has served as the Technical Program Co-Chair for INTERSPEECH 2014, and Area Chair for INTERSPEECH 2013, 2016 and 2018 while INTERSPEECH is the top conference in speech science and technology. He is also serving as an Associate Editor for IEEE/ACM Transactions on Audio, Speech, and Language Processing which is the top journal in speech and language processing. He has published more than 150 papers in prestigious journals and conferences in speech and language processing areas. He was a team member for the President Technology Award of Singapore in 2013.
Dr. Ettikan Kandasamy Karuppiah, Director of Developers Ecosystem at Nvidia, South East Asia works with innovators, researchers and techno-entrepreneurs to accelerate GPU adaptation for their R&D and software solutioning needs. He has direct experience and passionate in accelerated computing/software research/deep learning, design and development covering end-to-end needs. He also has published numerous publications, patents and software libraries from his past/current work.
Dr. Lawrence Wee is a data science practitioner and innovator in the health sciences. He is currently Chief Data Scientist at Allianz Asia-Pacific where he directs the development of data-driven innovation platforms for the APAC markets. He works closely with the different stakeholders of the industry, co-creating solutions in the intersection of fintech, insurtech and healthtech.
Prior to this role, he founded the healthcare and biomedical analytics laboratory at the Institute of Infocomm Research (I2R) in Singapore, and served as principal investigator for research initiatives encompassing genomics, precision medicine, digital health and health services. After the stint at I2R, he moved on to Zuellig Pharma where he took on the role of Chief Data Scientist.
Dr. Wee sits on the scientific advisory boards of several technology companies, and speaks regularly at conferences on artificial intelligence, digital technology and healthcare. He was previously the President of the Association for Medical and Bio-informatics Singapore (AMBIS), and the current vice-chair of the Chinese-American Pharmaceutical Society (CABS) Singapore chapter. He received his Ph.D. in Computational Biology and Machine Learning from the National University of Singapore.
Nikolay Novozhilov is the Head of Digital Products at NTUC Link, one of the largest and most successful consumer rewards programs in Singapore. Nikolay worked as a Chief Data Scientist at Wego. He is using advanced statistics and machine learning techniques to create business value from data. He is a strong believer in machine learning and Big Data as a way to build great eCommerce products. Nikolay holds an MBA degree from INSEAD.
Professor Simon Chesterman is Dean of the National University of Singapore Faculty of Law. He is also Editor of the Asian Journal of International Law.
Educated in Melbourne, Beijing, Amsterdam, and Oxford, Professor Chesterman’s teaching experience includes periods at the Universities of Melbourne, Oxford, Southampton, Columbia, and Sciences Po. From 2006-2011, he was Global Professor and Director of the New York University School of Law Singapore Programme.
Prior to joining NYU, he was a Senior Associate at the International Peace Academy and Director of UN Relations at the International Crisis Group in New York. He has previously worked for the UN Office for the Coordination of Humanitarian Affairs in Yugoslavia and interned at the International Criminal Tribunal for Rwanda.
Professor Chesterman is the author or editor of seventeen books, including Law and Practice of the United Nations (with Ian Johnstone and David M. Malone, OUP, 2016); One Nation Under Surveillance (OUP, 2011); You, The People (OUP, 2004); and Just War or Just Peace? (OUP, 2001).
He is a recognized authority on international law, whose work has opened up new areas of research on conceptions of public authority – including the rules and institutions of global governance, state-building and post-conflict reconstruction, and the changing role of intelligence agencies.
Takeaki Uno received the PhD degree (Doctor of Science) from Department of Systems Science, Tokyo Institute of Technology Japan, 1998. He was an assistant professor in Department of Industrial and Management Science in Tokyo Institute of Technology from 1998 to 2001, and have been an associate professor of National Institute of Informatics Japan, from 2001. His research topic is discrete algorithms, especially enumeration algorithms, algorithms on graph classes, and data mining algorithms. On the theoretical part, he studies low degree polynomial time algorithms, and hardness proofs. In the application area, he works on the paradigm of constructing practically efficient algorithms for large scale data that are data oriented and theoretically supported. In an international frequent pattern mining competition in 2004 he won the best implementation award. He got Young Scientists’ Prize of The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology in Japan, 2010.
Daniel Seng teaches and researches on information technology law and infocommunications law. Between 2001 and 2003, he was concurrently the Director of Research, Technology Law Development Group at the Singapore Academy of Law. He graduated with firsts from NUS and Oxford, where he received the Rupert Cross Prize in 1994. He had just received his doctoral degree from Stanford Law School, where he used machine learning, natural language processing and big data techniques to conduct research on copyright takedown notices. While he was at Stanford, he was a non-residential fellow with the Center for Legal Infomatics (CodeX).
Daniel was previously a partner and head of the technology practice at Messrs Rajah & Tann. He was amicus curiae to the Court of Appeal of Singapore in the case of Chwee Kin Keong & Ors v Digilandmall.com Pte Ltd, the leading Singapore case on unilateral mistake in the digital environment. Daniel has presented papers at various local, regional and international conferences and written on evidence, information technology and intellectual property laws. He was a member of various Singapore governmental committees that undertook legislative reforms in information technology and intellectual property laws. He is also an active consultant to the World Intellectual Property Organization, where he has researched, delivered papers and published monographs on copyright exceptions for academic institutions, music copyright in the Asia Pacific and the liability of Internet intermediaries.
Dr. Su Yi is the Director of the Corporate Technology Management Office, SMRT Corporation. He holds the responsibility to strengthen SMRT’s operational capability and create unique competitive edge through the build-up and exploitation of data analytics and artificial intelligence expertise. He is also in-charge of technology management and supports business units on technology prospecting and road mapping, as well as management of intellectual property, collaboration relationship and governance. Dr. Su Yi also heads the A*STAR-SMRT Urban Mobility Innovation Centre (UMIC), where he is responsible for the formation, execution and governance of projects under the UMIC structure.
Dr. Su Yi also holds the concurrent appointment of Principal Scientist at the Institute of High Performance Computing (IHPC), A*STAR. His research and development experience over the last 18 years comprises Microelectromechanical Systems (MEMS), Aerospace Engineering, Geospatial Modelling, Biomedical Engineering and Botanical Modelling. He is the founding leader of the Geometrical Modelling Group and he plays a key role in driving the Computationally-driven Biomedical Research Programme at IHPC, where he leads the development of technologies in Computer-aided Cardiac Diagnosis, Image Analysis in Digital Pathology and Virtual Surgical Simulation.
Dr. Su Yi has won multiple competitive research grants from various grant bodies, such as the A*STAR, National Medical Research Council (NMRC), SingHealth Foundation and National Research Foundation (NRF). Based on the novelty and commercial relevance of his work, he grew a portfolio of patents and has been awarded The Second Prize in the International 2014 PhysioNet/Computing in Cardiology Challenge and the “Best Innovation in Biomedical & Pharmaceutical Applications” in the National Instruments ASEAN Graphical System Design Achievement Awards 2011.
Dr. Su Yi obtained his PhD in Mechanical Engineering at the National University of Singapore in 2003.
Christopher Muffat is the founder and CEO of Dathena Science a Swiss/Singaporean company developing a data governance platform developed based on machine learning and artificial intelligence algorithms. Christopher has over ten years of experience in information security risk management, including leading the internal HSBC and SwissLeaks digital forensics investigation for one of the largest data thief that occurred in Europe, as well as conducting research on cyber security risk in safety-critical systems to prevent cyber terrorism for Emirates.
Prior to founding Dathena, Christopher established and managed the Information Risk Management function for Barclays Europe and APAC in Geneva. He designed information risk regulatory remediation program on identity and access management, information classification, application and infrastructure security, as well as data loss prevention strategy. After not being able to find a solution on the market that would fit his needs, Christopher developed the initial technology behind Dathena. As a result, Dathena is as close as possible to the user’s needs as it is being developed by risk managers for risk managers.
Jake Saunders, Managing Director and Vice President, Asia-Pacific & Advisory Services, heads ABI Research’s Asia-Pacific research division. Jake brings highly-developed analytical skills to the company, combined with years of expertise in the technology market research business and a proven track record of operations management. He devotes particular attention to the Asia market in relation to its mobile operator strategic positioning, infrastructure vendors, mobile device vendors, and chipset manufacturers.
Prior to joining ABI Research, Jake was a Research Director at Concise Insight, a leading UK-based wireless market research company. Before that, he served as Director of the Strategis Group’s European office.
During more than 20 years of telco consulting and analysis, he has advised global media on a number of telco developments. In addition to the telco industry journals, he has been repeatedly interviewed on CNBC, BBC World, Channel News Asia and CNN International. Saunders holds a MS in Technology Management from the University of Manchester.
Lian Jye Su, Principal Analyst at ABI Research, is responsible for the orchestration of market data, trends, benchmarks and forecasts on AI and machine learning-related key technical and business factors and business models. Aside from verticals that have existing AI implementation, such as consumer electronics and robotics, Lian Jye also focuses on tracking and analyzing AI and ML deployment in retail, manufacturing, energy, automotive, public safety and telecommunications, with special attention to AI edge solutions. Lian has spearheaded research on AI in telcos, hot AI tech innovators, open source machine learning framework benchmarking and market data on edge AI and machine learning devices.
Prior to joining ABI Research, Lian Jye worked in several healthcare organizations, in both the technical and business domain. He held various roles in quality management, operation reviews, and market research analysis.
Lian Jye earned a B.Sc. in Life Sciences from the National University of Singapore. He then completed his Master in Business Administration at Melbourne Business School in Australia, with a dedicated specialization in market research and business strategy.
Hi, my name is Chris and I’m one of the team at Microsoft in South East Asia helping people to build awesome startup businesses on top of our technology stack. I trained as both a lawyer and a technologist and while I’ve worked in the latter field, I maintain a strong interest in the former. I’m excited about the potential of technology to make the world a better place and I’m doing my damnedest to help people to harness that potential and put it into action.
I started my first business at age 15 in high school. Since then, I’ve been involved as a director, investor, advisor and/or team member in a number of ventures, most with successful exits or significant funding. In my free time, I enjoy skiing, mountain biking, climbing and other adventure activities.
Thomas Ho currently heads the Energy Department under the Smart Energy and Environment Cluster in the Institute for Infocomm Research (I²R). The energy department has deployed a “Residential Photo-Voltaic Energy Storage System” and is currently implementing two more deployments titled, “Self-Regulating Integrated Electricity-Cooling Network” and “Intelligent Lift Solution for a Smart Building Management Platform” in Singapore District Cooling and Building & Research Institute (HDB) respectively.
He is the principle investigator for the last two projects and had built the software system application for the first project. His expertise lies in artificial intelligence; especially in the areas multi-agent systems and reasoning under uncertainty. His current work focuses on building the intelligence of agents for testing out behaviors under a myriad of circumstances and environments. He is also able to translate his research and development into applications that are ready for use by the industry. He hopes to use expertise and experience to create economic and societal impact. In his free time, he is an avid cyclist, triathlete and ironman.
Takako Hashimoto graduated from the Ochanomizu University, and received a Ph.D. in computer science, specialization in multimedia information processing, from the Graduate School of Systems and Information Engineering of University of Tsukuba in 2005. She worked at the software R&D center of Ricoh Co. Ltd., in Japan for 24 years, and participated in the development of many software products as a technical leader. She has a rich project management experience including international collaborative research handling as well. From April of 2009, she was involved in Chiba University of Commerce as Associate Professor.
In 2015, she has become Professor of Chiba University of Commerce. In 2015, she stayed at University of California, Los Angeles as a visiting researcher. She has become Director of Institute of Economic Research, Chiba University of Commerce in 2016. In 2018, she has taken up the position of the vice president of Chiba University of Commerce. She has served as an Associate Editor of Journal of IEICE Data Engineering and Information Management and IPSJ Transactions On Databases (TOD). She is an Board Member of the Database Society of Japan and IEEE Japan Council. Currently, she has focused on the data mining research and the social media analysis, especially topic extraction from millions of tweets after severe disasters. She’s also leading FinTech researches as Director of Institute of Economic Research.
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