“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
Expected record for 2018
|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.
Deepu Talla, VP and GM, Autonomous Machines, NVIDIA
|09.20||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.
Bin Ma, Principal Engineer - iDST, Alibaba Inc
|09.40||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. Each speaker will share a 15min presentation on what is AI doing for their business, follow with a panel discussion.
• Steve Lee Hee Kwang, CIO and Group SVP (Technology), Changi Airport Group
• Deepu Talla, VP and GM, Autonomous Machines, NVIDIA
|10.40||Morning networking break|
|11.10||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 is paramount in today’s interconnected world
For speaking opportunity, please contact firstname.lastname@example.org
|11.50||Experts Panel Session: AI in the enterprise – Opportunities and challenges
During this panel, you will hear from 3 experts sharing their experiences. Learn what they are doing at their companies, how deep learning is disrupting their industries, and critical lessons in deploying enterprise class machine learning applications. They will also share what are the costs and ROI you should be expecting for various types of machine learning deployments. Each speaker will give a 15min presentation, follow with a 25min panel discussion.
Presentation 1: Measure your return on AI – assessing the value generated from each algorithm or a combination of initial outlay and ongoing costs.
Ayesha Khanna, Co-Founder and CEO, ADDO AI
Presentation 2: How AI will redesign the healthcare industry
Dr Lawrence Wee, Chief Data Scientist, Allianz
Presentation 3: Machine learning – What it is and why it matters for your business growth
Nikolay Novozhilov, Head of Digital Products, NTUC Link (former Chief Data Scientist, Wego.com)
|2.10pm||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 Henry Wong, Cluster Head, Smart Energy and Environment, Institute for Infocomm Research (I2R), A*STAR
For speaking opportunity, please contact email@example.com
|2.50pm||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)
|3.10pm||Afternoon networking break|
|3.40pm||Topical Roundtable Discussion
After a series of short presentations, topical roundtable discussion will be hosted. Led by our speakers and sponsors but taking the form of open discussion, the roundtables give you the opportunity to really engage with your peers on the topics that are most important to you and your business. There are 3 rotations of interactive roundtable sessions with up to 6 session topics to select from. Roundtable topics to be confirmed.
|5.00pm||Closing keynote session: Bringing AI into the Business Process
This is a must attend closing session which will give you in-depth practical framework and guidance of what the different AI technologies actually do and how they can be integrated into your businesses. This session conducted by an AI expert will help you to identify which part of your business value chain is AI relevant and how do you start from there. It will also look at how enterprises can develop a value driven cognitive computing strategy with clear ROI and a growth path.
|5.50pm||Closing remarks from Conference Chair|
|6.00pm||A.I. Cocktail Reception|
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.
Steve is currently the Chief Information Officer and Group Senior Vice President, Technology at Changi Airport Group. His responsibilities includes: leading the SMART Airport Programme, Digital Transformation, IT project management, operations and support, architecture and strategy, innovation projects for airport operations, development commercial and corporate systems. Prior to joining CAG, Steve was the CIO at Kuok (Singapore) Ltd, a company with businesses in trading, shipping, logistics and other businesses across the region. He spent his earlier years in the Ministry of Defence (MINDEF) where he held the post of Deputy Director, MINDEF CIO Office before leaving to join the private sector. Steve is also the past Chairman of Airport Council International (ACI) World Airport IT Standing Committee and past President of the IT Management Association (ITMA), Singapore. Steve also volunteers as an IT advisor at Volunteer Council of Singapore; Singapore Red Cross; and National Volunteer and Philanthropic Council. Steve led a team to win the biennial Singapore National Infocomm Awards (Private Sector category) in 2012; and was recently voted as #1 on the Future Travel Experience Airport Innovation Power List 2017. Steve completed the Stanford-NUS Executive Programme in International Management; as well as the Advanced Management Programme at the National Defence University, USA. As an undergraduate, he was trained as a mechanical engineer at NUS and his postgraduate education was in operational analysis at the Naval Postgraduate School, California, USA.
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.
Ayesha Khanna is Co-Founder and CEO of ADDO AI, an artificial intelligence (AI) advisory firm and incubator. She is a strategic advisor on artificial intelligence, smart cities and fintech to clients such as SMRT, Singapore’s largest public transport company, SmartDubai, which is transforming the city’s governance and service delivery, and YES Bank, one of India’s largest banks. In 2017, ADDO AI was featured in Forbes magazine as one of four leading artificial intelligence companies in Asia.
Prior to founding ADDO AI, Ayesha spent more than a decade on Wall Street developing large scale trading, risk management and data analytics systems. Ayesha was co-founder of the Hybrid Reality Institute, a research and advisory group established to analyze the social and economic impact of accelerating technologies. She directed the Future Cities Group at the London School of Economics, and has been a Faculty Advisor at Singularity University.
Ayesha has been named one of Singapore’s leading female entrepreneurs and a leading Asian fintech influencer by Fintech Asia. She also served on the Singapore Ministry of Education’s Steering Committee on future skills and applied learning for emerging industries.
Ayesha is author of Straight Through Processing (2008) and co-author of Hybrid Reality: Thriving in the Emerging Human-Technology Civilization (2012). She has been published and quoted on technology, innovation and smart cities in The New York Times, BusinessWeek, TIME, Newsweek, Forbes, Harvard Business Review, Strategy+Business, and Foreign Policy. She has presented at major financial, technology and other industry conferences, provided high level government briefings, chaired symposiums such as AI Asia, and spoken at TEDx events.
Ayesha has a BA in Economics from Harvard University, an MS in Operations Research from Columbia University and is completing her PhD on smart city infrastructures at the London School of Economics.
The fee entitles you access to forum, lunch, proceedings & refreshments
|Early Bird Rate
Register & pay by 9 Mar 2018 (SGD)Overseas Delegate
|Early Bird Rate
Register & pay by 9 Mar 2018 (SGD)*Local Delegate
*Includes 7% GST for all companies registered in Singapore
**15% SAVINGS FOR GROUP REGISTRATION of 4 and more. Please email firstname.lastname@example.org for group bookings.
Note: Please indicate clearly on your telegraphic transfer that payment is for the A.I. Leaders Forum 2018 (please state your name & company too).
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