Asia s AI agenda The ecosystem Amazon S3

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2 MIT Technology Review Insights,A sia s AI agenda is an MIT Technology Review. Insights research program sponsored by,ADP IMDA Genesys Splunk and the Asia School of. Expert interviews,We would like to thank the following experts for. contributing their time and insights towards this, Business It is designed to comprehensively examine research program. the development of artificial intelligence AI in Asia P Anandan CEO Wadhwani Institute for Artificial. Pacific from four distinct angles Asia s AI ecosystem Intelligence. the leading use cases and business applications,Sinuh Arroyo founder and CEO Taiger.
across the region the evolving talent landscape and. the emerging discussions around AI and ethics To Jeffrey Ding D Phil researcher Future of Humanity. Institute University of Oxford, produce this series MIT Technology Review Insights. conducted a survey of almost 900 executives across Will Knight senior editor for artificial intelligence. 13 markets and a series of interviews with leading MIT Technology Review. authorities from academia and industry The research Hod Lipson professor of mechanical engineering. is editorially independent and the views expressed and data science Columbia University. are those of MIT Technology Review Insights Tomaso Poggio Eugene McDermott professor. Department of Brain and Cognitive Sciences MIT,The survey. B Ravindran professor and head Robert Bosch,In September and October 2018 MIT. Centre for Data Science and AI Indian Institute of. Technology Review Insights surveyed 871 Technology Madras. senior business leaders of whom 29 are,Hazlina Selamat director of the Centre for. CIOs CTOs or heads of AI or analytics More,Artificial Intelligence Robotics CAIRO Universiti.
than half 53 are C suite and director Teknologi Malaysia. level executives Almost 60 are from large, companies with over 1 billion in revenue Kenji Suzuki professor Center for Cybernics. Research and Faculty of Engineering Information,Survey respondents are based in 13 Asia. and Systems University of Tsukuba,Pacific economies Australia China Hong. Kong India Indonesia Japan Malaysia New Toby Walsh scientia professor of artificial. intelligence University of New South Wales,Zealand the Philippines Singapore South. Korea Thailand Vietnam with a minimum of 50 Wang Xiaogang co founder SenseTime. responses from each Jonathan Woetzel director McKinsey Global. Respondents are drawn from a wide range Institute and senior partner McKinsey Company. of industries including more than 50 from Shanghai. each of the following sectors consumer Xue Lan professor School of Public Policy and. goods and retail financial services information Management and dean Schwarzman College. technology and communications manufacturing Tsinghua University. pharmaceuticals and healthcare professional Zee Kin Yeong assistant chief executive Data. services property construction and Innovation and Protection Group Infocomm Media. engineering and transport and logistics Development Authority Singapore. Copyright MIT Technology Review Insights 2018 All Rights Reserved. Asia s AI agenda The ecosystem 3,1 Executive summary 4.
2 AI takes off 5,Research and investment 5,The third wave 6. Asia s approach 6,3 The AI crucible 7,4 AI superpower 10. Application over research 11,The master plan 12,Big guns 13. One country two systems 14,5 Fusing digital and physical 15. Mechatronics leader 15,6 Economic future proofing 18.
Networked and open source 19,AI magnet 19,Domestic and regional priorities 20. 7 Finding its way 22,Data data everywhere 22,8 Emerging AI imperatives 24. Foundational assets 24,Meeting broader goals 25,9 Conclusion 26. Copyright MIT Technology Review Insights 2018 All Rights Reserved. 4 MIT Technology Review Insights,1 Executive summary. A rtificial intelligence AI has quite possibly,been the most widely discussed technology.
theme of 2018 The projections for how these new,China is rapidly applying AI but basic research. The abundance of data firm government push, big data machine learning ML and automation and highly innovative tech companies gives China. capabilities will transform cities companies and a distinct advantage in applying AI to variety. societies are startling and causing policymakers of domains such as healthcare and finance. and business leaders around the world to plan and across mobile platforms Yet foundational. for a future where AI is a core competency research can be strengthened by further. Experts increasingly view technological readiness integrating private sector and academic R D. particularly having a sophisticated AI base as a, determinant of future competitiveness for nations Building digital economies and digital societies. and for companies is a key to competitiveness, Asian governments have ambitious plans Asia s domestic challenges and industries are. for leadership in the AI era and this white paper providing focal points for the development of. explores the success they are having in building AI In southeast Asia this is taking shape in. fertile ecosystems that will attract much needed economic future proofing through a networking. AI talent and capital as well as allowing companies effect that stems from investments in startups. to apply AI quickly and effectively across their matching business problem statements with. organizations MIT Technology Review Insights research talent and developing a broad base of. surveyed 871 Asia based senior executives to AI knowledge. gather perspectives and conducted in depth, interviews with more than a dozen global experts in The big issues include securing foundational.
the field The key findings of this research are assets and managing AI s evolution. To become self sufficient in the advancement of, With much to gain most countries have a AI Asia must strengthen its research environment. national plan for accelerating AI adoption and underlying capabilities such as chipmaking. From China to Japan Singapore to India industry and supercomputing strength. policymakers across Asia are developing national Additionally policymakers need to tackle tricky. level plans for how AI can be used to enhance questions such as how to manage the social. domestic and regional competitiveness which contract between citizens the creators of data. include public and private sector collaboration and the companies that capture it. Asia has credible potential for becoming a front,runner in the AI era. Business leaders in Asia are positive about the,AI resources available in the region particularly. the availability of data and quality of talent More. can be done to bolster the R D environment and,governments can still provide greater support. Copyright MIT Technology Review Insights 2018 All Rights Reserved. Asia s AI agenda The ecosystem 5,2 AI takes off,W ith the potential to supercharge the.
global economy AI has become one of,the hottest and most hyped technologies of. increasing rapidly The AI Index an annual effort to. quantify and assess research activities in the field. by Stanford University s One Hundred Year Study, the past 20 years Asia has a lot to gain and the on Artificial Intelligence reports that AI papers on. region is gearing up to be a global frontrunner in the Scopus reported to be the world s largest database. development and commercialization of AI for books and scientific journals have increased. By all measures global activity to drive advancement eight fold between 1996 and 2017 2 The number of. in AI has soared in recent years How to develop graduate programs and faculty positions have also. and adopt AI at speed and scale is now a leading been climbing steadily MIT one of the birthplaces. question and priority for governments academic of AI announced that it will open a dedicated school. institutions and many businesses worldwide for AI the MIT Stephen A Schwarzman College. Consulting firm PwC estimates that AI could of Computing which will combine AI ML and. contribute up to 15 7 trillion to the global economy data science with other academic disciplines The. in 2030 representing GDP growth of more than 14 school is due to open in 2022 and will create 50. from 2017 levels 1 China could be one of the biggest new faculty positions and numerous fellowships for. beneficiaries the PwC report claims potentially graduate students. growing its GDP by 26 with gains across the retail Private sector investment is gathering pace. financial services and healthcare industries Led by the big tech firms where investment in AI. data centers and other underlying technology has, Research and investment exploded IDC estimates that global spending on. cognitive and AI systems will reach 77 6 billion, The global push toward researching developing in 2022 more than three times the 24 billion. and applying AI can be seen in many fields In forecast for 2018 a compound annual growth rate. academia the rate of publishing around AI is of 37 3 3 Big tech and other venture capital firms. Figure 1 Growth of annually published papers by topic 1996 2017 global. Growth in papers relative to 1996,2000 2005 2010 2015.
AI papers Computer science papers All papers,Source aiindex org based on data from Scopus. www pwc com gx en issues analytics assets pwc ai analysis sizing the prize report pdf. http cdn aiindex org 2018 AI 20Index 202018 20Annual 20Report pdf. www idc com getdoc jsp containerId prUS44291818, Copyright MIT Technology Review Insights 2018 All Rights Reserved. 6 MIT Technology Review Insights, are also pouring cash into AI and ML companies a long way to go when you consider that only. Pitchbook an investment analyst firm estimates 10 years ago no software could reliably tell the. that in 2017 6 billion was invested across 643 difference between a cat and a dog Beyond this. venture capital deals in AI 4 In the United States the Lipson describes a fourth wave where machines. number of active startups developing AI systems gain the creativity to design mechanics electronic. rose from a few dozen in 2000 to over 600 by circuits and other computer generated blueprints. 2017 a figure which itself has doubled since 2012 5 such as houses and buildings far better than. humans could and also produce thousands of,The third wave them in seconds. The fifth and sixth phases are where machines, The rise of AI holds promise for almost every become effectively sentient with their own intrinsic.
aspect of the global economy A clear area of motivation and will face what s known in the industry. advantage will be harnessing the ever growing as the embodiment problem Machines can be very. pools of data generated by consumers businesses intelligent in a box but they cannot sort of walk out of. and machines to create a sea change in the ability the box into the real world and do stuff physically AI. to develop deliver and improve products and is incredible when it s inside a virtual world but if you. services and become faster and more efficient on take even the best robots in existence today they are. perhaps every measure of corporate performance no match for a human says Lipson. In terms of broader application across society, the future is to use intelligent and increasingly Asia s approach. self aware machines for providing radical new,AI research globally is tacking toward a. developments in fields such as healthcare energy, solution for this final frontier of embodiment and. management transportation and education, contributions from Asia particularly Japan with its. While much of this seems new AI industry,extensive robotic industry are growing For now.
observers point out that there have been several, the main thrust of AI is in using enhanced analytics. waves of AI advancement for more than half, and computing resources to redesign and revitalize. a century The first wave representing about,businesses and industries and making them. four decades of research through the 1990s is sustainable and competitive for the long term. symbolic AI driven by human created rules expert The use of intelligent algorithms and predictive. systems logic and search algorithms explains analytics forms the basis of Industry 4 0 an. Hod Lipson professor of mechanical engineering evolving manufacturing conceptual framework. and data science at Columbia University an which envisions automated factories adjusting. engineer and scientist whose research focuses production in real time based on enterprise data. on self aware machines Data analytics defines and market trends and proactively repairs and. the second wave he says when data became if restocks assembly lines. not abundant cheap enough to generate systems It is this future that is becoming the unifying. which can predict the stock market or the weather vision for AI development in Asia Asia s economic. This was another 20 years of machine learning and planners whether in more or less developed. we still use it Companies compete over who can do markets have for decades looked to marshal. analytics better but it s not the future of AI national investment projects and coordinate R D. That future in Lipson s opinion is beyond between domestic academic and industrial players. AI s current development incarnation the third for kick starting and growing tech industries These. wave where deep learning helps us understand efforts have traditionally been aimed at fostering. Asia s AI agenda The ecosystem yrigh evie eserved 5 With the potential to supercharge the global economy AI has become one of the hottest and most hyped technologies of the past 20 years Asia has a lot to gain and the region is gearing up to be a global frontrunner in the development and commercialization of AI

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