Conference Programs

Special Sessions

[Bilingual / Pre-required / FREE]

≪ Possibility of Conversational AI ≫

【Date】April. 1st (Wed) 09:10 - 09:55

● LINE BRAIN - Natural Experience with AI

Shinichiro Isago
Senior Manager of LINE BRAIN Div.,
LINE Corp.

< Abstract >
With 82 million monthly active users in Japan, LINE is an infrastructure that supports people's communication. LINE BRAIN has commercialized the knowledge gained through LINE’s service such as AI assistant “Clova”. In this session, the examples of LINE BRAIN on business and demonstrations of various AI technologies including NLP, speech recognition, speech synthesis, video analysis, OCR are introduced.

< Profile >
Shinichiro is in charge of evangelism activities of LINE Corporation to realize the vision of “Smart Portal” which brings innovation of lifestyle powered by latest technologies like AI and chat bot. From January 2019, he leads LINE BRAIN, the new business of AI technologies. After graduate from Tokyo Institute of Technology, experienced several EPR implementation projects and new business development task force at Oracle Japan then switch his career to the strategic consultant at Roland Berger. After that, he jumped into one of the B2B software startup Realcom that he was responsible for whole of product marketing went public successfully on the Tokyo Stock Exchange Mothers. Before joining LINE, he worked for Microsoft Japan for eight years as a technical evangelist of Azure and supported lots of startups aggressively not only from technical perspective but business development. From 2019, he doubles as an Executive Advisor to Government CIO of Japan. @shin135

≪ AI Business Worldwide 1 ≫

【Date】April. 1st (Wed) 12:45 - 13:30

● The Impact of Artificial Intelligence on Facebook

Alon Halevy
Director,
Facebook AI

< Abstract >
Artificial Intelligence has been playing an important role in Facebook. I will survey some of the current work at Facebook AI and its impact. In particular, I will discuss how Artificial Intelligence is playing a crucial role in maintaining the integrity of content on Facebook.

< Profile >
Alon Halevy joined Facebook in August, 2019. Previously, he was the CEO of Megagon Labs, the research arm of Recruit Holdings. From 2005 to 2015, Alon led the Structured Data Research Group at Google Research and before that he was a professor of Computer Science at the University of Washington, Seattle. Dr. Halevy is the founder of two companies, one of which was sold to Google. He received a Ph.D in Computer Science from Stanford University in 1993. Dr. Halevy is a Fellow of the ACM and a recipient of several Best Paper Awards.

≪ AI for Social Good ≫

【Date】April. 1st (Wed) 14:30 - 15:15

● To Create a Happy Society with AI - Japan as a Strategic Lab in the World for "Super Aging Society"

Ko Ishiyama
Representative Director & President,
ExaWizards Inc.

< Abstract >
Sergey Brin and Bill Gates have started a project on Parkinson’s disease and Alzheimer’s disease respectively. Additionally, DARPA invested 200 billion JPY in Contextual Reasoning as a prospective area subsequent to Deep Learning. Following this trend, the government of Japan began the project that specialized in “Care×AI” as a part of Strategic Innovation Program. Japan is said to be the first country that will become a super aging society with no parallel in history. At this moment, Japan will become a focus of the world’s attention as a strategic lab and we will introduce the latest examples and our challenges.

< Profile >
Visiting Professor, Shizuoka University, Visiting Associate Professor, Tokyo University. Former Director at Recruit Institute of Technology and Executive Manager of R&D at Recruit Holdings. Founded a big data startup that creates aggregation services in support of marketing professionals and sold it to Recruit Holdings, the parent company of indeed.com. Outside of work, he is an improvisational pianist and enjoys spending time with his wife.

≪ The Frontier of Deep Learning Technology ≫

【Date】April. 1st (Wed) 16:15 - 17:00

● Recent Trends and Future Technologies of Deep Learning

Takeshi Izaki
Board Member,
Japan Deep Learning Association /
Director, Enterprise Div.,
NVIDIA

< Abstract >
Japan Deep Learning Association (JDLA) is a industry-academia collaboration nonprofit organization. In this session, we overview the trend of Artificial Intelligence (AI) especially on Deep Learning (DL). Learn how much the technology has evolved, how the technology is being applied in businesses. Also based on state of AI/DL utilization in industry, we will show what has to be done in order to accelerate AI/DL business application.

< Profile >
After graduating from Tokyo University with material enginering degree in 1997, and a master degree in metallic engineering in 1999, joined Texas Instruments Japan Limited. Worked as a DSP workshop instructor, and then took part in developing a DVD application processor, mobile phone video, image signal processor, and trans coder engine before becoming a overall manager of digital product marketing division. Involved in the wide range of business development from entertainment products to industrial devices. Joined NVIDIA in 2015 as a business development manager for deep learning, and currently looking over the enterprize business division. Board member of Japan Deep Learning Association.

≪ AI-generated Synthetic Data ≫

【Date】April. 2nd (Thur) 09:10 - 09:55

● Introducing Impressive Applications of GANs

Yuki Okada
CEO,
DataGrid Inc.

< Abstract >
In this lecture, I will talk about the possibility of future industrial development based on specific applications of GAN.

< Profile >
While he researched machine learning at Kyoto University, he found Generative Adversarial Networks. Then he started DataGrid with Ogawa, who is CTO of DataGrid to spread this technology to improve society.

≪ Medical Data x AI ≫

【Date】April. 2nd (Thur) 11:00 - 11:45

● Utilization of Large-Scale Medical Information Data for R&D. –What will “Next-Generation Medical Information Infrastructure Act” bring to AI?

Kenichi Tanaka
Counsellor,
Office of Healthcare Policy,
Cabinet Office,
Cabinet Secretariat,
Government of Japan

< Abstract >
After gaining a common understanding of why "Next-Generation Medical Information Infrastructure Act", I would like to show its potential and expectations for stakeholders. As part of this, I would like to show expectations for AI from the standpoint of "Next-Generation Medical Information Infrastructure Act".

< Profile >
Mr. Tanaka first joined the then Ministry of Health and Welfare (the current Minister of Health, Labour and Welfare) in 1994. He served in various positions, including First Secretary of Embassy of Japan in Germany, General Manager of Corporate Planning Department of Health Insurance Claims Review & Reimbursement services, and Deputy Mayor of Kuwana City, before assuming his current position in July 2019.

≪ AI Changing the Way We Work ≫

【Date】April. 2nd (Thur) 12:45 - 13:30

● Future of Work with Superhuman Intelligence

Miku Hirano
CEO,
Cinnamon Inc.

< Abstract >
The era of work with AI will come soon instead of the era of work replaced by AI. How to change the way of working with AI in Japan? What can be achieved with Superhuman Intelligence? The future of business AI session by a serial entrepreneur who adopts cutting-edge AI research.

< Profile >
Serial Entrepreneur and Angel Investor. MSc, in Artificial Intelligence, from Tokyo University. Engaged in research on Recommendation Engine, Complex Network, Clustering. Won the Innovative Software Creation Program (Super Creator Award) under Information-technology Promotion Agency Japan (IPA) in 2005 and 2006. Started her first business to create the middleware which enables to develop iOS / Android / Feature Phone simultaneously, and sold the company to mixi.inc. Founded Cinnamon in Singapore in 2012.

≪ AI Business Worldwide 2 ≫

【Date】April. 2nd (Thur) 14:30 - 15:15

● 3 Lessons in Using ML for Building One of the World's Biggest Marketplaces: Uber

Logan Jeya
ML Product Lead,
Uber

< Abstract >
It is easy to say you would like to use ML in your business strategy, but in practice it is extremely complex and prone to many mistakes. In optimizing the Uber business domain using ML from ETAs to Loyalty programs, Cross-sell/Up-sell to Ticketing assistants, we learned a lot and I'll be sharing 3 lessons spanning: -Infrastructure and data engineering -Business optimization -Organizational structure This will be a meta analysis on the usage, transformation and trajectory of ML in competitive real-time markets.

< Profile >
Logan Jeya is a Canadian Systems Engineer, an emerging Neuroscientist and an ML Product Leader who's latest work was at Uber helping drive ML strategy and building Michelangelo - Uber's ML platform. His background is in Computer Vision and AI which he studied postgrad at the University of Waterloo. His other work touches on a wide range of topics including decision theory and systems, ML product and platforms and Emergent Emotional Complexity in AI. Current work: Still in Stealth Mode.

≪ AI Basic Course ≫

【Date】April. 3rd (Fri) 09:10 - 09:55

● Introduction on AI: the Recent Trends and Opportunities in the Future

Naohiko Uramoto
President,
The Japanese Society for Artificial Intelligence /
Chief Digital Technology Scientist,
Digital Transformation Group,
Emerging Technology and Business Development Office,
Mitsubishi Chemical Holdings Corp.

< Abstract >
The spread of artificial intelligence (AI) technology and its application are rapidly changing the business and the society. Wider use of AI technology is producing great values by combining it with various industries and specialized fields. This lecture covers an overview of the latest trends in AI research, development, and its application. The future and its possibilities of our society being transformed is also discussed.

< Profile >
Naohiko Uramoto joined IBM Japan in 1990, and worked in research and development of natural language processing, information integration, web technology, security, and cloud computing in IBM Research – Tokyo. Since 2015, He served as CTO of Bluemix & Blockchain Garage Tokyo. In 2017 he joined Mitsubishi Chemical Holdings and is assigned to Advanced Technology & Business Development Office. As Chief Digital Technology Scientist, he is promoting digital transformation with AI. He was visiting associate professor at National Institute of Informatics, associate professor at Information Security Graduate University, and a board member of Information Processing Society. Since 2018 he serves as president of artificial intelligence society and visiting professor at Kyushu University.

≪ Deep Learning x Robotics ≫

【Date】April. 3rd (Fri) 12:45 - 13:30

● Applications of Robot Intelligence by Deep Learning

Tetsuya Ogata
Professor,
Faculty of Science and Engineering,
Waseda University /
Joint-appointed Fellow, AIRC,
AIST

< Abstract >
In this talk, I’ll introduce the outline of deep learning and our latest research examples such as multimodal learning and motion imitation learning with my experience of collaborative development. The issues for upgrading production by applying deep learning to industrial robots are discussed.

< Profile >
Tetsuya Ogata received the B.S., M.S., and D.E. degrees in mechanical engineering from Waseda University, in 1993, 1995, and 2000, respectively. He was a Research Associate with Waseda University from 1999 to 2001, a Research Scientist with the RIKEN Brain Science Institute from 2001 to 2003, and an Associate Professor with the Graduate School of Informatics, Kyoto University, from 2003 to 2012. Since 2012, he has been a Professor with the Faculty of Science and Engineering, Waseda University. He is currently a Joint-Appointed Research Fellow with the Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology. His current research interests include human-robot interaction, dynamics of human-robot mutual adaptation, and inter-sensory translation in robot systems with neuro-dynamical models. He received the IBM faculty award 2017.

≪ Democratization of Self-driving ≫

【Date】April. 3rd (Fri) 14:30 - 15:15

● Intelligent Vehicles for Everyone

Shinpei Kato
Founder & CTO,
Tier IV, Inc. /
Associate Professor,
Graduate School of Information Science and Technology,
The University of Tokyo

< Abstract >
We disclose all pieces of technology to build an open ecosystem of safe intelligent vehicles, enabling as many organizations and individuals as possible to be part of that ecosystem. This leads to your life with more valuable time and space.

< Profile >
Shinpei Kato is the founder and CTO of Tier IV, Inc., the co-founder and chairman of the Autoware Foundation, and he also works as an associate professor for the Graduate School of Information Science and Technology at the University of Tokyo. Previously, Shinpei was an associate professor at the Graduate School of Information Science, Nagoya University from 2012 to 2016. He was also a postdoctoral scholar at Keio University, The University of Tokyo, Carnegie Mellon University, and University of California, Santa Cruz. His expertise includes computer architectures and operating systems for embedded and real-time systems as well as parallel and distributed systems.

≪ The Cutting Edge of Quantum Computing ≫

【Date】April. 3rd (Fri) 16:15 - 17:00

● Google's Quantum Computing System and Pursuit of Quantum Supremacy

Etsuji Nakai
Global Quantum Computing Practice,
Google

< Abstract >
Google's research team has been working on the development of Quantum computing system using a superconducting processor. On October 23, 2019, the team has published the results of the quantum supremacy experiment in the Nature article, “Quantum Supremacy Using a Programmable Superconducting Processor”. This session is about the challenges in the Quantum computer development, the mechanism of Google's Quantum computing systems, and the result of the quantum supremacy experiment, aimed at general audience.

< Profile >
Etsuji Nakai has majored in the theory of elementary particle physics at Kyoto University, and worked for educational institutions and global IT companies. Currently he has a position of Global Quantum Computing Practice at Google.

Business Seminar

[Bilingual / Pre-required / FREE]

≪ AI Business Seminar 1 ≫

【Date】April. 1st (Wed) 11:00 - 11:45

● Common Failure Cases at AI Projects in Japan

Akira Sato
CEO,
connectome.design Inc.

< Abstract >
The utilization of AI is increasing in industry. However, there are many common failure cases. We Discuss the real intentions of the company as the ordering party, the AI vendor / SIer, the AI researcher/engineer of the contractor. And we provide hints for future AI utilization.

< Profile >
Mr. Sato Graduates from Tokyo University of Science, Department of Mechanical Engineering. Joined an electronic musical instrument manufacturer intending to realize automatic performance using artificial intelligence. After that, he started a business after working for a software development company. He was engaged in the management and construction of a wide variety of systems for nearly 20 years. In 2011, he joined a university startup specializing in artificial intelligence technology development as a founding member. At present, connectome.design Inc, established in 2018, aims to realize well-being for society as a whole by utilizing artificial intelligence-related technologies such as deep learning. Since 2017, he has been promoting the use of deep learning in the Japanese industry as a director of the Japan Deep Learning Association.

≪ AI Business Seminar 2 ≫

【Date】April. 1st (Wed) 14:30 - 15:15

● Social Implementation of Edge-AI and AI Strategy of Huawei

Kazuhiro Akimoto
CTO,
Intelligent Computing Business Dept.,
HUAWEI TECHNOLOGIES JAPAN K.K.

< Abstract >
Introduces social implementation cases of Edge-AI in China, as the need for Edge-AI is increasing. Huawei's efforts to realize an intelligent society integrating Cloud-Edge-Device, and future AI strategies will be explained along with the introduction of latest AI chips and AI products.

< Profile >
After joining Hitachi, he engaged in the development of mainframe/supercomputer chips for the first 10 years, and UNIX server/x86 blade server for the next 10 years. Experienced server business development in the US for three and a half years. After returning to Japan, he co-created and led solution developments utilizing latest technologies of other companies, including Flash/FPGA/Network. Currently at Huawei Japan, he works with partners exploring AI use cases and promoting AI business development.

≪ AI Business Seminar 3 ≫

【Date】April. 2nd (Thur) 14:30 - 15:15

● The future of optimization/prediction technology using machine learning and quantum computing as envisioned by GRID Inc.

Masaru Sogabe
CEO,
GRID, INC.

< Abstract >
GRID will introduce their efforts for the optimization of power plants, VPPs, logistics and supply chains using the optimization platform they are developing. GRID will also explain quantum computer-based research efforts in the fields of quantum machine learning, quantum computational chemistry and quantum optimization.

< Profile >
GRID was founded in 2009, and is currently distributing AI development platform “ReNom”. GRID aims to revolutionize various social infrastructure issues such as energy, transportation and plants, and aims to create further breakthrough of AI. Currently the director of GRID is also the Board of Directors chairman of the AI Business Promotion Consortium.

≪ AI Business Seminar 4 ≫

【Date】April. 2nd (Thur) 16:15 - 17:00

● AI Journey Begins Here

Marco S. Casalaina
VP Product Management of Salesforce Einstein,
salesforce.com Co., Ltd.

< Abstract >
While everyone thinks that AI (artificial intelligence) is necessary for the business, but on the other hand, it is difficult to find and choose the best AI for your business among the various AI technologies. In this session, we will present the difference between the features of Salesforce Einstein, Salesforce.com AI that is highly regarded as the world's No. 1 CRM, and other AI technologies, with demonstrations and customer stories.

< Profile >
Marco was previously VP of Applications at RingCentral, where he ran RingCentral’s contact center and collaboration business units. Prior to that he was VP Products at machine learning startup KXEN, which was acquired by SAP AG in 2013. This is Marco’s second stint at Salesforce - during his first term at Salesforce, from 2005 to 2010, he was one of the original developers of the Service Cloud product and then its product manager. He holds a Bachelor’s Degree in Computer Science from Cornell University.

≪ AI Business Seminar 5 ≫

【Date】April. 3rd (Fri) 11:00 - 11:45

● Deep Learning: the Cutting Edge Implementation of AI in Business

Ryo Shimizu
President and CEO,
Ghelia Inc.

< Abstract >
It is often said that AI technology will replace many of our jobs. However, we believe it would essentially extend human abilities. This session will introduce Ghelia's cutting edge implementation of "coexisting environment of Human and AI" in real businesses, along with ideas and methods on how to use them practically.

< Profile >
Born in Niigata, Ryo Shimizu has traveled the world as a programmer. His passion for using AI to advance humanity led to the founding of Ghelia in 2017 along with Sony CSL and WiL LLC. He also serves as a researcher at the University of Tokyo's Research Center for Advanced Science and Technology. His many books include "Introduction to Programming for Education" (Chuokoron), "Understanding Artificial Intelligence" (Kadokawa), and "The Crazy Life of a Programmer" (Shobunsha).

≪ AI Business Seminar 6 ≫

【Date】April. 3rd (Fri) 14:30 - 15:15

● The Introduction of CV Platform "SCORER" and Its Usecases

Satoshi Toriumi
CEO,
Future Standard Co., Ltd.

< Abstract >
Introduction of case studies applied by CV platform "SCORER" and our future roadmap.

< Profile >
Founder and CEO of Future Standard Co., Ltd. Former equity trader in Citi.

* Honorifics omitted. / Programs & speakers are subject to change.
* Recording and photography are strictly prohibited.