DR. WERNER VOGELS, CTO, AMAZON.COM

Dr. Werner Vogels is Chief Technology Officer at Amazon.com where he is responsible for driving the company’s customer-centric technology vision.

 As one of the forces behind Amazon’s approach to cloud computing, he is passionate about helping young businesses reach global scale, and transforming enterprises into fast-moving digital organizations.

 Vogels joined Amazon in 2004 from Cornell University where he was a distributed systems researcher. He has held technology leadership positions in companies that handle the transition of academic technology into industry. Vogels holds a PhD from the Vrije Universiteit in Amsterdam and has authored many articles on distributed systems technologies for enterprise computing.

On his blog, all things distributed, Werner shares insights and thought leadership content on a range of topics, such as cloud computing, machine learning, artificial intelligence, as well as his annual technology predictions.

Stuart Russell is a pioneer in the understanding and uses of artificial intelligence (AI), its long-term future, and its relation to humanity. He also is a leading authority on robotics and bioinformatics.

Stuart Russell is the author or coauthor of three books on knowledge, reasoning, and machine learning, including the standard textbook on artificial intelligence. Stuart Russell is a professor of Electrical Engineering and Computer Sciences at UC-Berkeley and Adjunct Professor of Neurological Surgery at UC-San Francisco.

Artificial intelligence. AI is a machine’s ability to perceive its environment and use that information to maximise its chance at succeeding at some goal. All of the technologies behind artificial intelligence are evolving at exponential rates and are just now beginning to rocket up the curve. Soon artificially intelligent machines will be doing things we can barely conceive, in virtually every area of human business, life, and culture. Few people understand this future better than Stuart Russell, who wrote the standard textbook on AI (with coauthor Peter Norvig), now in its third edition.

Robotics. Stuart Russell is also a leading researcher in the practical applications of machine intelligence. If AI is the brain of the machine of the future, the robot is its body. Robots are taking over more and more functions that once required a human actor, with far-reaching consequences — and opportunities — for people, businesses, and society as a whole. He has focused recently on the threat of autonomous weaponry.

Biological information. As an Adjunct Professor of Neurological Surgery, Stuart has been researching computational physiology, with a current focus on Intensive Care Unit monitoring systems. He is a leader in the development of technologies that make sense of biological data and that apply this information in ways that advance human health.

Credentials. In addition to the positions already mentioned, Stuart Russell holds the SmithZadeh Chair in Engineering at UC-Berkeley and is Vice-Chair of the World Economic Forum’s Council on AI and Robotics. He is the recipient of many awards and held the Chaire Blaise Pascal in Paris from 2012 to 2014. He is a researcher at a number of research centers, including the Berkeley Artificial Intelligence Research Lab (BAIR), the Berkeley Center for New Media (BCNM), and the Synthetic Biology Institute (SBI). He is the founder and Vice-President of Bayesian Logic, Inc., a data analysis start-up under contract with the UN to build a new Nuclear Test Ban Treaty global monitoring system.

Gary Marcus, scientist, bestselling author, and entrepreneur, was CEO and Founder of the machine-learning startup Geometric Intelligence, recently acquired by Uber, and is known for his provocative and bold claims in artificial intelligence, neuroscience, and cognitive science. Trained by Steven Pinker, he received his PhD at MIT at age 23. His professional research, published in leading journals such as Science, Nature, Cognition, and Artificial Intelligence, has focused on the foundations of cognition in humans, animals and machines, spanning fields from developmental psychology to neuroscience to genetics to artificial intelligence. A special interest has been on the challenge of endowing machines with common sense.

He is also well-known for his writing for the general public, including frequent essays and op-eds for The New Yorker and The New York Times. His books include The Algebraic Mind, The Birth of the Mind, Kluge: The Haphazard Evolution of the Human Mind, The New York Times Bestseller, Guitar Zero and The Future of the Brain: Essays By The World’s Leading Neuroscientists.

In a 2012 essay for The New Yorker, he was perhaps the first person to publicly criticize deep learning, drawing on arguments he developed in his 2001 technical book The Algebraic Mind. More recently, in a 2018 arXiv article, Deep Learning: A Critical Appraisal, he asked whether deep learning might be “approaching a wall.” The challenges he laid out there were covered everywhere from The
New York Times to Wired to The Financial Times and Wall Street Journal.

In another provocative 2012 essay, Moral Machines, Marcus was the first to adapt “trolley problems” to driverless cars, anticipating much recent research on the ethics of AI. His next book, REBOOT: Getting to AI We Can Trust, to be published by Pantheon in Fall 2019, co-authored with Ernie Davis, calls for a fundamental rethinking of current approaches to artificial intelligence.

Yoshua Bengio is Full Professor of the Department of Computer Science and Operations Research, head of the Montreal Institute for Learning Algorithms (MILA), CIFAR Program co-director of the CIFAR program on Learning in Machines and Brains,  Canada Research Chair in Statistical Learning Algorithms. His main research ambition is to understand principles of learning that yield intelligence. He supervises a large group of graduate students and post-docs. His research is widely cited (over 80000 citations found by Google Scholar in September 2017, with an H-index of 101).

Yoshua Bengio is currently action editor for the Journal of Machine Learning Research, associate editor for the Neural Computation journal, editor for Foundations and Trends in Machine Learning, and has been associate editor for the Machine Learning Journal and the IEEE Transactions on Neural Networks.

Grady Booch is Chief Scientist for Software Engineering at IBM Research where he leads IBM’s research and development on embodied cognition. Having originated the term and the practice of object-oriented design, he is best known for his work in advancing the fields of software engineering and software architecture. A co-author of the Unified Modeling Language (UML), a founding member of the Agile Alliance, and a founding member of the Hillside Group, Grady has published six books and several hundred technical articles, including an ongoing column for IEEE Software and IEEE Spectrum. Grady is also a trustee for the Computer History Museum. He is an IBM Fellow, an ACM Fellow, an IEEE Fellow, has been awarded the Lovelace Medal and given the Turing Lecture for the BCS, and was named an IEEE Computer Pioneer for his work in software architecture.

Grady has served as an architect or architectural mentor for a multitude of complex software-intensive systems across many domains around the world, including finance, transportation, defense, commerce, productivity, government, medical, gaming, animation, software development, artificial intelligence, and many others.

Grady is currently developing a major transmedia documentary for public broadcast on the intersection of computing and the human experience: Computing.

Neuroscientist Anil Seth is interested in understanding the biological basis of conscious experience, a topic he considers one of the greatest challenges for 21st century science. His groundbreaking research provides fascinating insight into what this means for storytelling. His 2017 TED talk has been viewed over 5 million times.

Seth is Professor of Cognitive and Computational Neuroscience at the University of Sussex and Codirector of the Sackler Centre for Consciousness Science. He seeks to understand the biological basis of consciousness by bringing together research across neuroscience, mathematics, AI, computer science, psychology, philosophy and psychiatry. Key to his work is exploring the relationship between perception and hallucination, and how this applies to the experience of being a “self.” Seth is also Editor in Chief of the academic journal Neuroscience of Consciousness, a Senior Fellow of the Canadian Institute for Advanced Research, and a Wellcome Trust Engagement Fellow. He was the 2017 President of the British Science Association (Psychology Section).

Athina Kanioura is Executive Vice President, Chief Strategy and Transformation Officer at PepsiCo. PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated more than $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay’s, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo’s product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

An accomplished innovator and transformation leader, Kanioura oversees PepsiCo’s end-to-end strategy to win both as a total company and in key markets, including our digitalization strategy. She also leads company-wide transformation—ensuring that our scale is leveraged as we focus on accelerating profitable growth and identifying areas of cost efficiency and optimization—in addition to overseeing Data Products, Platforms, and Talent. 

Prior to joining PepsiCo, Kanioura was the Chief Analytics Officer and Global Head of Applied Intelligence at Accenture, where she specialized in applying AI and analytics to drive business value. During her 15 years at Accenture, Kanioura grew the Applied Intelligence function from a subspecialty to a global group at the forefront of scale business transformation. She also ran Sales and Customer Analytics globally and drove the company’s offerings in customer relationship management and personalization. 

Kanioura specializes in transforming businesses with emphasis on data and technology, and brings many years of practical experience globally in industries such as telecomms, oil and gas, financial services, and consumer packaged goods, having worked with companies such as Mondelez, Unilever, P&G, Reckitt Benkiser, Phillip Morris, and Adidas.

Kanioura is a member of the Royal Statistical and Economics Society, where she contributes to shaping government policy around how data is used by bodies like the IMF. She also sits on the board of the Institute of Marketing Sciences and is a keen educator who has held lectureships at UMIST (UK), Imperial College London (UK), and the University of Sheffield (UK), where she also earned her PhD in Econometrics and Quantitative Economics.  Kanioura is based in Purchase, N.Y

Constantijn van Oranje leads TechLeap.NL (formerly StartupDelta), the accelerator for the Tech-ecosystem in the Netherlands. As Special Envoy he is on a mission to turn The Netherlands into a unicorn nation. He and his team connect the Dutch Tech-ecosystem to help ambitious and promising Dutch Tech companies grow fast internationally by improving their access to capital, market and talent.

Constantijn co-founded StartupFest Europe, which is still the biggest start-up event ever organized in The Netherlands. He used to be Chief of Staff of VP Neelie Kroes at the European Commission in charge of the Digital Agenda and lead the Brussels office of the RAND Corporation.

He is currently also Director Digital Technology & Macro Strategy at Macro Advisory Partners in London and New York and Edge Fellow at Deloitte Centre for the Edge, where he advises companies and the European Commission on their digital innovation strategies. Besides innovation and technology.

Constantijn van Oranje is passionate about art, music, photography and nature.

Lambert Hogenhout is Chief Data and AI at the United Nations Secretariat. He is also an author, keynote speaker and advisor on AI and responsible use of technology. He has 25 years of experience working both in the private sector and with international organizations such as the World Bank and the United Nations. He leads governance and strategy in the areas of data and AI and oversees its practical implementation. He has published on data privacy, data governance, the societal implications of technology and responsible use of AI.

Dr. Steve Chien is JPL Fellow, Senior Research Scientist, and Technical Group Supervisor of the Artificial Intelligence Group and in the Mission Planning and Execution Section at the Jet Propulsion Laboratory, California Institute of Technology where he leads efforts in automated planning and scheduling for space exploration.  Dr. Chien was previously Adjunct Faculty with the Department of Computer Science of the University of Southern California, and a Research Scientist at the Joint Institute for Regional Earth System Science & Engineering and a Visiting Scholar with the Department of Computer Science of the University of California at Los Angeles. He holds a B.S. with Highest Honors in Computer Science, with minors in Mathematics and Economics, M.S., and Ph.D. degrees in Computer Science, all from the University of Illinois.

He is a founder of the International Workshop on Planning and Scheduling for Space held every other year from 1997 onward and was the Chair or Co-chair  of numerous workshops.  He is former chair of the AIPS Executive Council (2000-2002), was a founding member of the ICAPS Executive Council (2002-2006), and was founding President of the ICAPS Executive Council 2002-2004. He was also a Councilor for the American Association for Artificial Intelligence (2003-2006)

Dr. Chien was a recipient of the 1995 Lew Allen Award for Excellence, JPLs highest award recognizing outstanding technical achievements by JPL personnel in the early years of their careers. In 1997, he received the NASA Exceptional Achievement Medal for his work in research and development of planning and scheduling systems for NASA. He is the Team Lead for the ASPEN Planning System , which received Honorable Mention in the 1999 Software of the Year Competition and was a contributor to the Remote Agent System which was a co-winner in the same 1999 competition. In 2000, he received the NASA Exceptional Service Medal for service and leadership in research and deployment of planning and scheduling systems for NASA. He is the Principal Investigator for the Autonomous Sciencecraft Experiment which is a co-winner of the 2005 NASA Software of the Year Award. In 2007, he received the NASA Exceptional Achievement Medal for outstanding technical accomplishments in the development of the Autonomous Sciencecraft deployed on the Earth Observing One Mission and the development of the Earth Observing Sensorweb. In 2011 He was awarded the innaugural AIAA Intelligent Systems Award, for his contributions to Spacecraft Autonomy. In 2011, he was the team co-lead for the Sensorweb Toolbox team, which was awarded Honorable mention in the 2011 NASA Software of the Year Competition. In 2015 He was awarded a JPL Magellan Award as well as the NASA Exceptional Achievement Medal for his contributions to automated science scheduling for ESA’s Rosetta mission.

Dr. Chien has supported the Office of the Undersecretary of Defense for Research and Engineering, Defense Science Board, and Air Force Scientific Advisory Board.  In 2018, Dr. Chien was appointed to the National Security Commission on Artificial Intelligence.

Dr. Chien has presented invited seminars on planning, scheduling, and resource allocation as well as on spacecraft autonomy and autonomous systems. He has authored numerous publications. in these areas, and has served as a consultant to several multinational corporations in these areas. His current research interests lie in the areas of: planning and scheduling, machine learning, operations research, and decision theory.

Head of JDX Silicon Valley Research Center

Dr. Hui Cheng is the Head of JD.com’s JD-X Silicon Valley Research Center and the Head of JD.com Silicon Valley Innovation Center, where he leads teams working on technologies that will revolutionize E-commerce and Logistics. JD-X is developing autonomous ground delivery vehicles, delivery drones and warehouse robotic systems, all powered by artificial intelligence, advanced robotics and computer vision. Dr. Cheng also serves on the board of directors of a high-flying AI and robotics startup company.

Prior to JD, Dr. Cheng was Senior Research Manager of Amazon Go where the new grab-and-go shopping experience was first developed. He was also the Program Director and head of the Cognitive and Adaptive Vision System Group at SRI International where he led more than 30 client-sponsored R&D programs in many areas including social medial analysis, video understanding, cloud-based Big Data analysis, AR/VR, mobile authentication, mobile activity understanding, media forensic, etc.

Dr. Cheng received his Ph.D degree from Purdue University. He has more than 60 publications and holds more than 30 patents.