Artificial intelligence is here.
Own what happens next.
March 25-26, 2019
St. Regis Hotel
San Francisco, CA

About

EmTech Digital is a uniquely accessible and insightful forum on the commercialization of AI technologies.

It's where the discerning lens of the world’s preeminent technology university meets Silicon Valley.

Our program is carefully curated to review the state of artificial intelligence technologies. We'll examine the capabilities and commercial applications of these technologies and provide a deeper understanding of the growing economic impact that the field is having on organizations and industries around the world.

This year's themes include:

The latest advances in AI research, put into context
As interest in AI continues to rise, so do the expectations. We’ll examine some of the most promising research of the year, as well as the very real limitations of these technologies. Gain insights into groundbreaking AI advancements from experts working to develop more useful and intuitive tools. Hear examples of how they’re addressing rising security and privacy concerns, transparency and accountability, and more.

Commercialization of AI
Advancements in AI technologies have inspired new applications in a broad array of industries. Hear from the experts on how AI is improving their processes, from historically time-consuming and costly challenges, such as drug discovery, to more intelligent approaches to healthcare, transportation, public safety, and urban design.

Defining Ethical AI
In furthering the development of AI, its creators are often faced with questions that fall outside of their technical area of expertise. An inclusive approach is essential to ensure more broadly beneficial artificial intelligence. Speakers will address the pressing need to better define fairness, combat bias, and create ethical AI.

What You Can Expect

» Gain a working understanding of complex tech that’s driving business innovation.

» Learn to harness these technologies to build a competitive business advantage: increase revenue, ensure security, and make smart hires in a changing workforce.

» Get clear insights that help you cut through the noise around AI and chart your strategy.

» Meet the sharpest minds in the technology, management, startup, engineering, and academic communities–the people leading the next wave of intelligent technologies.

Speakers

The innovators at the heart of the next wave of the digital revolution are here.

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  • Rediet
    Abebe

    Computer Science Researcher, Cornell University; Cofounder, Black in AI

    Mechanism Design for Social Good

    Rediet Abebe is a computer scientist with a strong interest in the promotion of equality and justice. Her research focuses on algorithms, AI, and their applications to social good. As part of this research mission, she co-founded and co-organizes Mechanism Design for Social Good, a research initiative that aims to use techniques from algorithms and AI to improve access to opportunity for historically under-served and marginalized communities, as well as Black in AI, an international network of individuals focused on increasing the presence and inclusion of Black researchers and practitioners in the field of artificial intelligence.

    She is a PhD candidate in computer Science at Cornell University, where she also earned an MS. She holds an MS and a BA in mathematics from Harvard University and an MA in mathematics from the University of Cambridge. Her research is deeply influenced by her upbringing in her hometown of Addis Ababa, Ethiopia, where she lived until moving to the US in 2009.
  • Andrew
    Anagnost

    President and CEO, Autodesk

    Automation and Imagination: Designing a World for 10 Billion People

    Andrew Anagnost’s career spans more than 25 years of product, business, and marketing experience focused on driving strategy, transformation, and product development.

    Anagnost began his career at Autodesk in 1997 and has held a wide range of roles in the areas of marketing, new business development, product management, and product development. Prior to becoming president and CEO in June 2017, he served as chief marketing officer and SVP of the business strategy and marketing organization. In this role, he served as architect and leader of Autodesk’s transition to a software-as-a-service (SaaS) solutions provider. Previously, Anagnost held various executive positions across Autodesk. Early in his Autodesk career, he led the development of the company’s manufacturing products and grew the revenue of Autodesk Inventor to over $500 million. He has also worked at Lockheed Aeronautical Systems Company and EXA.

    Anagnost is a member of the Autodesk board of directors. He holds a bachelor of science degree in mechanical engineering from California State University, Northridge, and holds both an MS in engineering science and a PhD in aeronautical engineering and computer science from Stanford University. He worked at NASA Ames Research Center as an NRC postdoctoral fellow.
  • Alán
    Aspuru-Guzik

    Professor of Chemistry and Computer Science, University of Toronto; Cofounder of Kebotix and Zapata Computing

    Accelerating Discovery with Self-Driving Laboratories

    Alán Aspuru-Guzik is professor of chemistry and computer science at the University of Toronto and cofounder of the startups Kebotix and Zapata Computing. He is also on the faculty of the Vector Institute for Artificial Intelligence, an independent, not-for-profit corporation dedicated to research in the field of AI. Before joining the University of Toronto, Alán was a professor at Harvard University. Alán’s research lies at the interface of computer science, chemistry, and physics. He works in the integration of robotics, machine learning, and high-throughput quantum chemistry to develop materials acceleration platforms. Alán also develops algorithms for quantum machine learning and has pioneered quantum algorithms for the simulation of matter. He holds a bachelor’s degree in chemistry from the National Autonomous University of Mexico and a PhD in physical chemistry from UC Berkeley.
  • Solomon
    Assefa

    Vice President, Africa and Emerging Market Solutions, IBM Research

    AI Transforming the Developing World

    Dr. Solomon Assefa is responsible for developing strategy for innovative and scalable industry research solutions for emerging markets in sectors such as financial services, health care, and the public sector. Furthermore, he is responsible for IBM’s research labs in Kenya and South Africa, and heads IBM’s research strategy and partnership across the region. IBM Research is pioneering disruptive technologies that will transform industries and society, including the future of AI, blockchain, and quantum computing. Specifically, it is developing technologies that address Africa’s grand challenges; promote Africa’s leadership in science and technology; and foster local innovation ecosystems.

    Solomon is a recipient of several awards, including the Technical Accomplishment Award, Corporate Recognition Award, and Invention Achievement Awards from IBM. He is a frequent speaker at business events, international conferences, universities, and research institutions. He was named one of MIT Technology Review’s Innovators Under 35 in 2011. Solomon was honored by the World Economic Forum as a Young Global Leader in 2013. He received a BS in physics (2001), a BS in EECS (2001), an MS in EECS (2001), and a PhD (2004), all from the Massachusetts Institute of Technology.
  • Jill
    Becker

    CEO and Cofounder, Kebotix

    AI and Robotics in the Lab: Accelerating Materials Discovery

    Jill Becker is CEO and cofounder of Kebotix, a company that combines cutting-edge AI and robotics to rapidly innovate new materials.

    Previously, Jill served as founder of two tech companies, 02139 and Cambridge NanoTech. The latter operated at a profit every year and in 2012 was sold to Ultratech, a public semiconductor company.

    Jill’s honors include the Ernst and Young Entrepreneur of the Year Award in energy and materials. Among the numerous patents she holds is one for a technology that’s been cited as “revolutionizing the manufacture of semiconductor components, making better computers available around the world, and contributing to the growth of the information economy.”

    Jill earned both doctorate and master’s degrees in chemistry from Harvard. She also holds an honors bachelor of science degree in chemistry from the University of Toronto.
  • Elizabeth
    Bramson-Boudreau

    CEO and Publisher, MIT Technology Review

    Elizabeth Bramson-Boudreau is the CEO and publisher of MIT Technology Review, the Massachusetts Institute of Technology’s media company. MIT Technology Review’s analysis, features, interviews, and events explain the impact of new technologies on business and society.

    Elizabeth is leading the growth, expansion, and modernization of MIT Technology Review’s media platforms and products, including U.S. and international websites, newsletters, events, and an award-winning print magazine. Elizabeth also serves as chair of the global entrepreneurial network MIT Enterprise Forum.

    Elizabeth has a 20-year background in building and running teams at world-leading media companies. She maintains a keen focus on new ways to commercialize media content to appeal to discerning, demanding consumers as well as B2B audiences.

    Prior to joining MIT Technology Review, Elizabeth was the global managing director of the Economist Corporate Network (whose parent company publishes The Economist magazine), where she led editorial content creation, sales, marketing, and event operations. She also spent a decade working as a consultant.

    Elizabeth holds an executive MBA from the London Business School, an MSc from the London School of Economics, and a bachelor’s degree from Swarthmore College.
  • David
    Budden

    Research Engineering Team Lead, DeepMind

    Engineering Intelligence

    Dr. David Budden is an engineering team lead and distributed systems researcher at DeepMind, the world leader in AI research and its application for positive impact. His recent projects include AlphaStar, the first AI to defeat a top professional player at StarCraft II, in addition to many other reinforcement-learning agents and environments. Before joining DeepMind, David worked at MIT and Harvard on projects including the first real-time “connectomics” system for reconstructing biological neuron connectivity maps from electron microscopy data. He was named Australia’s 2016 Young IT Professional of the Year for his startup work in the sports and education industries.
  • Bill
    Dally

    Chief Scientist and Senior Vice President of Research, Nvidia

    Improving the Science Behind AI

    Bill Dally is an award-winning computer scientist who works with leading scientists and researchers around the globe to develop new and innovative computing architectures. He joined Nvidia in 2009 after spending 12 years at Stanford University, where he was chairman of the computer science department and the Willard R. and Inez Kerr Bell Professor of Engineering. Dally and his Stanford team developed the system and network architecture found in most large parallel computers today. He is a member of the National Academy of Engineering, a fellow of the American Academy of Arts & Sciences, and a fellow of the IEEE and the ACM. He received the 2010 Eckert-Mauchly Award, considered the highest prize in computer architecture, as well as the 2004 IEEE Computer Society Seymour Cray Computer Engineering Award and the 2000 ACM Maurice Wilkes Award. Dally has published more than 200 papers, holds more than 100 patents, and is the author of three textbooks: Digital Systems Engineering, Principles and Practices of Interconnection Networks, and Digital Design: A Systems Approach. He received a bachelor of science degree in electrical engineering from Virginia Tech, a master of science degree in electrical engineering from Stanford University, and a PhD in computer science from the California Institute of Technology.
  • Dmitri
    Dolgov

    CTO and VP of Engineering, Waymo

    Getting Autonomous Cars Ready for the Road

    Dmitri Dolgov is the CTO and VP of engineering at Waymo, a self-driving-technology company with a mission to make it safe and easy to move people and things around. Dmitri is one of the original members of the Google self-driving-car project, which became Waymo in 2016. In his role at Waymo, he leads the development of all self-driving hardware and software. Before joining Waymo, Dmitri worked on self-driving cars at Toyota and at Stanford as part of Stanford’s DARPA Urban Challenge team. In 2008, he was named one of “AI’s ten to watch” by the IEEE Intelligent Systems Magazine. Dmitri received his BS and MS in physics and math from the Moscow Institute of Physics and Technology and a PhD in computer science from the University of Michigan.
  • Kathy
    Gong

    Cofounder and CEO, WafaGames

    AI and Entrepreneurship: A View from China

    A serial entrepreneur, Kathy cofounded WafaGames in 2017 with Radwan Kasmiya (chief designer/producer) and Joe Wu Mingzhou (CTO). WafaGames is a mobile game developer based in Beijing that promotes digital dignity through great gaming experiences supported by authentic content, innovative core game play, and breakthrough technology. Kathy was the youngest national chess champion at the age of 10, in 1996, and again at 12, in 1998. She is a member of the Chinese People’s Political Consultative Council (CPPCC) in Chengdu; a former member of the Foundation Board of Global Shapers Community World Economic Forum (2013-2016); cochair of the APEC Women Leadership Forum in 2013-2014; and Image Ambassador of Chengdu’s Young Entrepreneurs. In 2011 and 2013, she was named one of the Top Ten Entrepreneur Representatives of China’s Economic Innovation. In 2012, Kathy founded an independent non-for-profit organization, World’s Young Voices, to sponsor young grassroots student elites who are academically and/or socially outstanding. She advocates for the importance of failures in entrepreneurship and still plays on Chess.com with chess masters around the world.
  • Sam
    Gregory

    Program Director, Witness

    Trust and Truth: Preparing for Deepfakes

    Sam Gregory is Program Director of WITNESS (www.witness.org) which supports anyone, anywhere to use video and technology to fight for human rights. An award-winning technologist and advocate, Sam leads work around emerging opportunities and threats, including artificial intelligence, proactive approaches to malicious "deepfakes," innovation in eyewitness video, and challenges to trust and evidence. He also supervises WITNESS’ Tech Advocacy work, which advocates to technology companies on how products protect human rights and develops tools such as ProofMode for better authentication of contentious video. He has spoken at Davos and the White House and was a 2012-17 Young Global Leader of the World Economic Forum (WEF). He is Co-Chair of the Partnership on AI’s Working Group on Social and Societal Good, a member of the Technology Advisory Board of the International Criminal Court, and a member of the WEF Global Future Council on Human Rights. From 2010-2018 he taught the first graduate level course at Harvard on harnessing the power of new visual and participatory technologies for human rights change.
  • Karen
    Hao

    AI Reporter, MIT Technology Review

    Karen Hao is an AI reporter at MIT Technology Review, covering the technology’s social impact and the ethical questions it raises. Before joining TR, she was a tech reporter and data scientist at Quartz. In a past life, she was also an application engineer at the first startup to spin out of Alphabet’s X.
  • Brendon
    Kim

    VP, MD, Global Head of Ventures, Samsung NEXT

    Beyond Deep Learning: Investing in the Future of AI - Presented by Samsung NEXT

    Brendon Kim has been investing in early stage startup companies for over 20 years. He is currently the VP, MD, Global Head of Samsung NEXT Ventures. The Ventures team invests in compelling early stage software and services startups, bringing the power of the Samsung platform to accelerate their growth. Prior to joining Samsung, Brendon was a co-founding general partner of Altos Ventures, where he was a lead investor and board member in numerous early-stage software and services companies. Before co-founding Altos Ventures, he was a strategy and management consultant in the media, consumer, and technology industries. Brendon received his MBA from the Graduate School of Business at Stanford University and his BA from Princeton University.
  • Will
    Knight

    Senior Editor for AI and Robotics, MIT Technology Review

    Will Knight is a senior editor at MIT Technology Review, covering artificial intelligence, machine learning, robotics, self-driving cars, and human-machine collaboration. Will grew up in London, and was previously an editor at New Scientist magazine in the UK.
  • Daphne
    Koller

    Founder and CEO, Insitro

    Reimagining Drug Design in the Era of AI

    Daphne Koller brings to Insitro her many years of experience in machine learning, statistical modeling, computational biology, and computational medicine. She was the Rajeev Motwani Professor of Computer Science at Stanford University, where she served on the faculty for 18 years, and she was one of the pioneers in applying machine learning to biomedical data sets. She is the author of over 200 refereed publications and the leading textbook on probabilistic graphical models.

    Daphne cofounded Coursera in 2012; she served as the company’s co-CEO until 2014 and then as president until 2016. Coursera is the world’s largest online education platform, with over 30 million learners worldwide and over 150 university partners in six continents. She is currently the cochair of the Coursera board. Most recently, Daphne served as the chief computing officer at Calico Labs, an Alphabet (Google) company that is using advanced technology to understand aging and design interventions that help people lead longer, healthier lives.

    Daphne was recognized as one of Time magazine’s 100 most influential people in 2012 and Newsweek’s 10 most important people in 2010. She has been honored with multiple awards and fellowships, including the Presidential Early Career Award for Scientists and Engineers in 1999, the MacArthur Foundation Fellowship in 2004, and the ACM Prize in Computing in 2008. Daphne was inducted into the National Academy of Engineering in 2011 and elected a fellow of the American Academy of Arts and Sciences in 2014 and of the International Society of Computational Biology in 2017.
  • Mark
    Latonero

    Research Lead, Data & Society

    AI and Upholding Human Rights

    Mark Latonero leads the Human Rights program at Data & Society, an independent research institute in New York. He is on the Advisory Board of WEF’s Civil Society Initiative and is a fellow at Berkeley Law, Harvard Kennedy School, and USC Annenberg School. He has been an innovation consultant for the UN Human Rights Office and was a research professor at USC where he led the Technology and Human Trafficking Initiative. His research examines the benefits, risks, and harms of digital technologies particularly for vulnerable populations. His recent report, Governing Artificial Intelligence: Upholding Human Rights & Dignity, shows how fundamental rights can guide AI design, development, and deployment. He has led field research in a dozen countries investigating the role of technology in humanitarian contexts such as forced migration and refugees. Mark completed his PhD at the University of Southern California and was a postdoctoral scholar at the London School of Economics.
  • Sergey
    Levine

    Assistant Professor, UC Berkeley

    Robots That Learn by Doing

    Sergey Levine received a BS and MS in computer science from Stanford University in 2009 and a PhD in computer science from Stanford in 2014. He joined the faculty of the Department of Electrical Engineering and Computer Sciences at UC Berkeley in fall 2016. His work focuses on machine learning for decision making and control, with an emphasis on deep learning and reinforcement learning. Applications of his work include autonomous robots and vehicles, as well as computer vision and graphics. His research includes developing algorithms for end-to-end training of deep neural networks, scalable algorithms for inverse-reinforcement learning, deep reinforcement-learning algorithms, and more. His work has been featured in many popular press outlets, including the New York Times, the BBC, MIT Technology Review, and Bloomberg.
  • Fei-Fei
    Li

    Professor, Computer Science Department and Co-Director, Human-Centered AI Institute, Stanford University

    Humanity: The New Frontier of Artificial Intelligence

    Dr. Fei-Fei Li is a professor of computer science at Stanford University and co-director of the Stanford Human-Centered AI Institute, a Stanford University Institute to advance AI research, education, policy and practice to benefit humanity by bringing together interdisciplinary scholarship across the university. She previously served as director of Stanford AI Lab from 2013 to 2018. She is also a co-director and co-PI of the Stanford Vision and Learning Lab, where she works with the most brilliant students and colleagues worldwide to build smart algorithms that enable computers and robots to see and think, as well as to conduct cognitive and neuroimaging experiments to discover how brains see and think.

    Fei-Fei is a cofounder and chairperson of the national nonprofit organization AI4ALL, dedicated to increasing diversity and inclusion in AI education. She received her PhD from the California Institute of Technology and a BS in physics from Princeton University.
  • Gideon
    Lichfield

    Editor in Chief, MIT Technology Review

    Gideon Lichfield has been the editor-in-chief of MIT Technology Review since December 2017. He spent 16 years at The Economist, first as a science and technology writer and then in postings to Mexico City, Moscow, Jerusalem, and New York City. In 2012 he left to become one of the founding editors of Quartz, a news outlet dedicated to covering the future of the global economy that is now widely recognized as one of the most innovative companies in digital media. Gideon has taught journalism at New York University and been a fellow at Data & Society, a research institute devoted to studying the social impacts of new technology. He grew up in the UK and studied physics and the philosophy of science.
  • Antoinette
    Matthews

    Vice President, Licensing and Communities, MIT Technology Review

    Antoinette Matthews is responsible for building and expanding MIT Technology Review’s global footprint through long-term strategic partnerships that help bring its journalism to audiences all across the world, in different languages, and on different platforms. As the head of licensing and communities, Antoinette acts as ambassador for MIT and MIT Technology Review’s thought leadership, championing initiatives that further grow Technology Review's Innovators Under 35 community.

    Ms. Matthews has a Bachelor's degree in Marketing and Financial Management from the University of Pretoria. She is a current Executive MBA student at the MIT Sloan School of Management.
  • Brendan
    McCord

    Senior Advisor for AI, US Department of Defense; EVP, Tulco LLC

    Purpose-Driven AI: Responsibly Addressing Our Big Problems

    Brendan McCord is Executive Vice President of Tulco, LLC; President of Tulco Labs; and Senior Advisor for AI to the US Department of Defense (DoD). Brendan drove AI transformation within DoD as founding Chief Architect of the DoD Joint AI Center (JAIC) and primary author of the first DoD AI Strategy. Previously, he led a team of deep learning researchers and engineers at a startup backed by Bill Gates, was an early stage venture investor at Lux Capital, and served in the US Navy as a submarine officer, spending 600+ days underwater. Brendan is an Advisory Board member of the Harvard Data Science Review, an Adjunct Senior Fellow at the Center for a New American Security, a Technology Advisor to US Special Operations Forces, and a Term Member of the Council on Foreign Relations. He holds an SB from MIT and an MBA from Harvard Business School.
  • Taniya
    Mishra

    Director of AI Research and Lead Speech Scientist, Affectiva

    Redefining Human-Machine Partnership through Emotion AI

    Taniya Mishra leads Affectiva’s research team in exploring innovative machine-learning approaches to accelerate their multi-modal emotion sensing roadmap. She also built Affectiva’s speech product from the ground up. She has a PhD in computer science and speech processing from the OGI School of Science and Engineering at Oregon Health and Science University Hospital.
  • Lama
    Nachman

    Intel Fellow, Intel Labs; Director, Anticipatory Computing Lab, Intel

    Enhancing Human Potential with AI - Presented by Intel

    Lama Nachman is an Intel Fellow and the director of the Anticipatory Computing Lab in the Intel Labs organization at Intel Corporation. Her research is focused on context-aware and proactive computing. Nachman is creating technologies that can gain a deep understanding of people through sensing and sense-making, then act on that context to help them in many aspects of their lives. She leads a team of researchers developing sensing systems, algorithms, and applications to enable these compelling experiences and transfers those technologies to various Intel business units, where they can have a positive impact on future Intel products.

    Nachman holds bachelor's and master's degree in computer engineering from the University of Wisconsin-Madison. She serves on multiple program committees in the areas of ubiquitous computing and wireless sensor networks, including SenSys, MobiSys, UbiComp and Percomp. She has more than 30 publications and 30 patents in the areas of ubiquitous computing, wireless sensor networks and context awareness, with many additional patents pending. She was named an Intel Fellow in 2017.
  • Andrew
    Ng

    Founder & CEO, Landing AI; Founder and CEO, Deeplearning.ai

    How to Develop Your Own AI Playbook

    Dr. Andrew Ng is the founder and CEO of Landing AI and Deeplearning.ai and a general partner at AI Fund. As the former chief scientist at Baidu and the founding lead of Google Brain, he led the AI transformation of two of the world’s leading technology companies. A longtime advocate of accessible education, Dr. Ng is the cofounder of Coursera and founder of Deeplearning.ai, an AI education platform. He is also an adjunct professor in Stanford University’s computer science department.
  • Rahul
    Panicker

    Chief Innovation Officer, Wadhwani Institute for Artificial Intelligence

    AI for Social Good

    Rahul Panicker is an entrepreneur and technology leader. He is an MIT Technology Review Innovator Under 35 awardee, a World Economic Forum Social Entrepreneur of the Year, an Industrial Design Society of America Gold winner, and an Echoing Green Fellow. He holds an MS/PhD in EE from Stanford University, where he worked across machine learning and applied physics. He is also an alumnus of Stanford’s design school and has a B.Tech from IIT Madras. Rahul was the cofounder and president of Embrace, a venture-backed Stanford startup that has helped over 300,000 premature babies in over 25 developing countries, and whose product the WHO recognized as a top innovation in global health.
  • Rohit
    Prasad

    Vice President and Head Scientist, Alexa AI, Amazon

    Scaling AI for Daily Convenience

    Rohit Prasad is vice president and head scientist at Amazon Alexa, the voice service that powers Amazon’s family of Echo products, Amazon Fire TV, and third-party offerings. Before joining Amazon, Prasad was deputy manager and senior director of the Speech, Language, and Multimedia Business Unit at Raytheon BBN Technologies. In that role, he directed US-government-sponsored research and development initiatives in speech-to-speech translation, psychological health analytics, document image translation, and STEM learning. Prasad is a named author on more than 100 scientific articles and holds several patents. He earned his master’s degree in electrical engineering at the Illinois Institute of Technology, Chicago, and a bachelor’s degree in electronics and communications engineering from Birla Institute of Technology, India.
  • Naveen
    Rao

    Corporate Vice President and General Manager, Artificial Intelligence Products Group, Intel

    Industry Outlook: Powering New Applied AI Solutions

    Naveen G. Rao’s team at Intel focuses on deep learning, a subset of machine learning and artificial intelligence, and works to develop the hardware and software ingredients needed to enable its scalable deployment. Trained as both a computer architect and a neuroscientist, Rao joined Intel in 2016 with the acquisition of Nervana Systems, a recognized leader in deep learning, where he was chief executive officer. Before cofounding Nervana in 2014, Rao was a neuromorphic machines researcher at Qualcomm, where he focused on neural computation and learning in artificial systems. Rao’s earlier career included engineering roles at Kealia, CALY Networks, and Sun Microsystems. He earned a bachelor’s degree in electrical engineering and computer science from Duke University and spent a decade as a computer architect before going on to earn a PhD in computational neuroscience from Brown University. He has published multiple papers in the area of neural computation in biological systems. Rao has also been granted patents in video compression techniques, with additional patents pending in deep-learning hardware and low-precision techniques and in neuromorphic computation.
  • Rashida
    Richardson

    Director of Policy Research, AI Now Institute

    Emerging Policy Approaches to AI Adoption

    Rashida Richardson designs, implements, and coordinates AI Now’s research strategy and initiatives on the topics of law, policy, and civil rights. Rashida joined AI Now after working as legislative counsel at the New York Civil Liberties Union (NYCLU), the New York state affiliate of the American Civil Liberties Union, where she led the organization’s work on privacy, technology, surveillance, and education issues. Previously, she was a staff attorney at the Center for HIV Law and Policy, where she worked on a wide range of HIV-related legal and policy issues nationally, and she also worked at Facebook and HIP Investor in San Francisco. Rashida currently serves on the advisory board of the Civil Rights and Restorative Justice Project and the board of directors of the College & Community Fellowship. She received her BA with honors in the College of Social Studies at Wesleyan University and her JD from Northeastern University School of Law.
  • David
    Rotman

    Editor at Large, MIT Technology Review

    David Rotman is the editor of MIT Technology Review. He supervises editorial for both the print magazine and the website. A science and business journalist, he has written extensively on chemistry, biotechnology, materials science, and environmental issues. He joined MIT Technology Review in January 1998 as a senior editor covering nanotechnology. Before joining MIT Technology Review, Rotman was managing senior editor at Chemical Week magazine in New York City, where he supervised coverage of technology, research, and environmental issues. He has a BS degree from the University of Massachusetts in Amherst.
  • Harry
    Shum

    Executive Vice President, Artificial Intelligence and Research Group, Microsoft

    Democratization of AI

    Harry Shum is executive vice president of Microsoft’s Artificial Intelligence and Research group.

    He is responsible for driving the company’s overall AI strategy and forward-looking research and development efforts spanning infrastructure, services, apps, and agents. He oversees AI-focused product groups including Bing and Cortana. He also leads Microsoft Research, one of the world’s premier computer science research organizations, and its integration with the engineering teams across the company.

    Dr. Shum is an IEEE Fellow and an ACM Fellow for his contributions to computer vision and computer graphics. He received his PhD in robotics from the School of Computer Science at Carnegie Mellon University. In 2017, he was elected to the US National Academy of Engineering.
  • Chazz
    Sims

    Cofounder and CEO, Wise Systems

    AI in Logistics and Transportation

    Chazz Sims is cofounder and CEO of Wise Systems, maker of autonomous dispatch and routing software for high-performance delivery fleets. Chazz’s expertise is in using data to solve last-mile issues in urban environments. His experience spans the Human Dynamics Lab at the MIT Media Lab and a variety of startups and companies in finance, health care, and mobile technology. He holds a master of engineering degree in computer science from MIT, where he also received his bachelor of science in computer science.
  • Dawn
    Song

    Professor, UC Berkeley; Founder and CEO, Oasis Labs

    Future of AI and Security

    Dawn Song is a professor of computer science at UC Berkeley, where she earned her PhD. Her research interests lie in deep learning, security, and blockchain. She is the recipient of various awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR35 award, and Best Paper awards from top conferences in computer security and deep learning. She is ranked as the most cited scholar in computer security and is currently the founder and CEO of Oasis Labs, creating privacy-first cloud computing on blockchain.
  • Kent
    Walker

    Senior Vice President of Global Affairs, Google

    From Policy to Implementation: Establishing Principles of Responsible AI

    Kent Walker has worked at the nexus of cutting-edge technology, policy, and legal issues for over 20 years. He currently oversees Google’s legal, policy, and compliance affairs, product policies, philanthropic efforts, and work with governments around the world. Before joining Google, Kent held executive positions at leading technology companies, including eBay, Netscape, AOL, and Airtouch Communications. He served as an assistant US attorney with the US Department of Justice and advised the attorney general on technology policy issues. At the start of his career, he worked as a litigator specializing in government and public law issues. Kent graduated with honors from Harvard College and Stanford Law School. He has served on the boards of a variety of industry associations and currently serves on the Harvard Board of Overseers and the Mercy Corps Social Ventures Fund. He is a member of the Council on Foreign Relations.
Who Should Attend

EmTech Digital is for senior executives responsible for information, technology, security, strategy, and marketing–those charged with driving innovation and product development across industries and sectors within their business.

EmTech Digital is a must-attend for:
- C-Level Executives
- Heads of Innovation
- VC/Investors
- VPs of Strategy
- VPs of Product Planning
- R&D Specialists
- IT Decision Makers

EmTech Digital 2019 Schedule

It’s not another lecture … it’s an invitation to join the conversation.

Monday, March 25, 2019

  • 8:00
    Registration and Breakfast
  • 9:00
    Opening Remarks

    A welcome from MIT Technology Review’s editor in chief and our EmTech Digital emcee.

    Gideon Lichfield Editor in Chief, MIT Technology Review
  • 9:15
    The State of AI

    Examining the most significant developments in AI research today, poised to define the next wave of capabilities.

    Harry Shum Executive Vice President, Artificial Intelligence and Research Group, Microsoft
    Democratization of AI
    Dawn Song Professor, UC Berkeley; Founder and CEO, Oasis Labs
    Future of AI and Security
    Sergey Levine Assistant Professor, UC Berkeley
    Robots That Learn by Doing
  • 10:30
    Break and Networking
  • 11:00
    The Human Impact of AI

    Leaders in the field are looking beyond cutting-edge research to examine the impact that AI technologies are having in the world. Putting humans at the center of the discussion is critical to ensure that society will benefit from fair, unbiased tools.

    Fei-Fei Li Professor, Computer Science Department and Co-Director, Human-Centered AI Institute, Stanford University
    Humanity: The New Frontier of Artificial Intelligence
  • 11:30
    AI for Good: Balancing the Risks and Rewards

    Ensuring that the era of AI benefits society at large will require developing new ethical principles for the field, and rethinking how we engage with these systems and each other.

    Rediet Abebe Computer Science Researcher, Cornell University; Cofounder, Black in AI
    Mechanism Design for Social Good
    Mark Latonero Research Lead, Data & Society
    AI and Upholding Human Rights
    Sam Gregory Program Director, Witness
    Trust and Truth: Preparing for Deepfakes
  • 12:30
    Lunch and Networking

    Special Session Presented by Intel
    Enhancing Human Potential with AI

    Beyond its ability to revolutionize business and industry, AI is augmenting our intelligence. From context-aware intelligence to help people with disabilities to enabling healthcare clinicians, researchers, and academics achieve scientific advances, artificial intelligence is helping unlock deeper levels of knowledge and insight never before possible. This session will explore how the adoption of AI will improve the human experience.

    Lama Nachman Intel Fellow, Intel Labs; Director, Anticipatory Computing Lab, Intel
    Enhancing Human Potential with AI - Presented by Intel
  • 2:00
    Industry Impact: AI in Transportation

    It has been quite a year on the road to autonomous vehicles. We’ll examine lessons learned as autonomous cars cruise the streets in major American cities and AI solutions take on complex logistics routes.

    Dmitri Dolgov CTO and VP of Engineering, Waymo
    Getting Autonomous Cars Ready for the Road
    Chazz Sims Cofounder and CEO, Wise Systems
    AI in Logistics and Transportation
    Taniya Mishra Director of AI Research and Lead Speech Scientist, Affectiva
    Redefining Human-Machine Partnership through Emotion AI
  • 3:30
    Break and Networking
  • 4:00
    Industry Impact: Intelligent Design
    Andrew Anagnost President and CEO, Autodesk
    Automation and Imagination: Designing a World for 10 Billion People
  • 4:30
    Industry Impact: AI in Health Care and Research

    AI solutions are being adopted in every industry, sometimes in unexpected ways. How might new approaches enable faster time to market for new drugs, or the development of new materials?

    Jill Becker CEO and Cofounder, Kebotix
    AI and Robotics in the Lab: Accelerating Materials Discovery
    Daphne Koller Founder and CEO, Insitro
    Reimagining Drug Design in the Era of AI
  • 5:30
    EmTech Digital Reception

    Hosted by Intel

Tuesday, March 26, 2019

  • 8:00
    Registration and Breakfast
  • 9:00
    Opening Remarks

    Day Two opens with a preview of the day from MIT Technology Review’s editor in chief, our EmTech Digital emcee.

    Gideon Lichfield Editor in Chief, MIT Technology Review
  • 9:10
    AI Chips: Accelerating Innovation

    Expectations are rising as powerful new AI chips are developed to improve the speed and efficiency of today’s systems.

    Bill Dally Chief Scientist and Senior Vice President of Research, Nvidia
    Improving the Science Behind AI
    Naveen Rao Corporate Vice President and General Manager, Artificial Intelligence Products Group, Intel
    Industry Outlook: Powering New Applied AI Solutions
  • 10:10
    Technology Spotlight: Engineering Intelligence
    David Budden Research Engineering Team Lead, DeepMind
    Engineering Intelligence
  • 10:30
    Break and Networking
  • 11:00
    Ethics in AI

    The field of AI is at a critical juncture. How can technologists, business leaders, educators, and regulators act now to promote responsible use of intelligent systems?

    Kent Walker Senior Vice President of Global Affairs, Google
    From Policy to Implementation: Establishing Principles of Responsible AI
    Brendan McCord Senior Advisor for AI, US Department of Defense; EVP, Tulco LLC
    Purpose-Driven AI: Responsibly Addressing Our Big Problems
    Rashida Richardson Director of Policy Research, AI Now Institute
    Emerging Policy Approaches to AI Adoption
  • 12:30
    Lunch and Networking

    Special Session Presented by Samsung NEXT
    Beyond Deep Learning: Investing in the Future of AI

    Today, breakthroughs in deep learning are inspiring the evolution of AI. But will this “deep learning + X” model drive AI to its fullest potential? While problem solving with more data and deeper models has a place in AI’s evolution, not every problem can be solved by this model. That’s why Samsung NEXT not only enables "deep learning +X” by creating tools for AI developers, but also invests in long-term breakthroughs via a strategic AI fund. In this session, learn more about how subtle shifts in the way we approach and think about AI today will have profound impact on the developments of tomorrow.

    Brendon Kim VP, MD, Global Head of Ventures, Samsung NEXT
    Beyond Deep Learning: Investing in the Future of AI - Presented by Samsung NEXT
  • 2:00
    Industry Impact: Intelligent Assistants

    Engaging with intelligent assistants has become routine in many of our lives, both at home and on the road. What can we learn from the technologists behind Amazon’s Alexa on where the field is headed next?

    Rohit Prasad Vice President and Head Scientist, Alexa AI, Amazon
    Scaling AI for Daily Convenience
  • 2:30
    Global Impact: Sustainable Development and Economic Empowerment

    How might AI support global initiatives and expand economic opportunities around the world?

    Solomon Assefa Vice President, Africa and Emerging Market Solutions, IBM Research
    AI Transforming the Developing World
    Rahul Panicker Chief Innovation Officer, Wadhwani Institute for Artificial Intelligence
    AI for Social Good
    Kathy Gong Cofounder and CEO, WafaGames
    AI and Entrepreneurship: A View from China
  • 3:30
    Break and Networking
  • 4:00
    Industry Impact: Accelerating Discovery with Self-Driving Laboratories
    Alán Aspuru-Guzik Professor of Chemistry and Computer Science, University of Toronto; Cofounder of Kebotix and Zapata Computing
    Accelerating Discovery with Self-Driving Laboratories
  • 4:30
    A Look Ahead: Charting Your Course for the Era of AI
    Andrew Ng Founder & CEO, Landing AI; Founder and CEO, Deeplearning.ai
    How to Develop Your Own AI Playbook
  • 5:00
    Closing Toast
St. Regis San Francisco

125 Third Street
San Francisco, CA 94103

Registration check-in: 2nd floor
General sessions: 2nd floor

A limited number of discounted hotel rooms have been made available. Make your reservation early, as rooms will likely sell out.

Register now

Sold out

Tickets are sold out. Online and onsite registration are no longer available.

Registration includes two full days of conference sessions, a networking reception on March 25, and a closing toast on March 26. Paying EmTech Digital attendees will receive a one-year Insider Basic subscription to MIT Technology Review.

Your registration includes The Download email newsletter with the top emerging tech stories delivered daily to your inbox.

  • Media Registration

    To request a media pass for an MIT Technology Review conference, please fill out the media registration form.

    Media passes are limited, and are granted only to working journalists who intend to cover the event (see media and analyst required credentials on the form). The information you submit will be reviewed carefully, so please be as detailed as possible when filling out the form. Media credential approval for a prior MIT Technology Review conference does not guarantee approval for this event.

    Email press@technologyreview.com with any questions.

  • Cancellation Policy

    If you cancel your registration for EmTech Digital for any reason, you must notify us in writing before February 25, 2019 for a refund less a $295 processing fee. Cancellations on and after February 25 are nonrefundable. You may transfer your registration to another person at any time by providing authorization to us in writing. All cancellations and transfer requests should be sent to: eventsreg@technologyreview.com.

  • Attendee Code of Conduct

    The mission of MIT Technology Review is to inform our audience about important new technologies. We have curated a series of discussions that includes a wide range of views on the most significant technologies and trends of the year. We value diversity of ideas and perspectives from our speakers and our audience. We are proud to bring varying points of view to our stage, and are committed to providing a respectful environment for our speakers and audience. By joining us at an event, you agree to maintain a respectful environment during all parts of the program.

    By registering for this event, you acknowledge that you may receive promotional messages from the event sponsor(s). You may adjust your preferences at any time by clicking on the link in the email.

Featured Speaker: Fei-Fei Li

Professor, Stanford University
Humanity: The New Frontier of Artificial Intelligence

Venue + Travel

March 25-26, 2019
St. Regis Hotel
San Francisco

St. Regis Hotel

The 5-star St. Regis San Francisco hotel embodies extraordinary hospitality with modern-day sophistication. This luxury hotel features 306 guest rooms and suites, all equipped with rainforest showers, minibars, and several flat-screen TVs (including one in the bathroom). You’ll find yourself in the heart of one of the city's most vibrant neighborhoods with the most exciting galleries, San Francisco attractions, events, restaurants, and shopping. The San Francisco Museum of Modern Art, the new Jewish Contemporary Museum, the financial district, and Union Square's select stores are all minutes away. A brief stroll takes you to the hill-climbing delights of the city's legendary cable cars, and the Golden Gate Bridge leads you to the bucolic charms of wine country.

Hotel information

St. Regis San Francisco

Discounted Conference Rate:
$435/night + tax
See more details

125 Third Street
San Francisco, CA 94103

Online reservations +

You may also reserve a room by calling St. Regis Central Reservations at 1-877-787-3447. Be sure to mention EmTech Digital 2019 to receive the discounted rate. 

The group rate is available until March 1, 2019.

Directions

The St. Regis San Francisco enjoys an artful address, just steps from the top things to do in San Francisco. The Museum of the African Diaspora, featuring the rich history of African art and culture, is conveniently located within the hotel. In addition, the renowned San Francisco Museum of Modern Art showcases noteworthy talent directly next door, and the vibrant new Jewish Contemporary Museum stands less than one block from the hotel. The financial district and Union Square's select stores are minutes away, offering a plethora of things to do in San Francisco. A brief stroll takes you to the hill-climbing delights of the city's legendary cable cars, and the Golden Gate Bridge leads you to the bucolic charms of wine country.

Driving from the North Bay

Sausalito, Tiburon, Muir Woods, Sonoma

• Take Highway 101 South over the Golden Gate Bridge.
• Follow signs towards Downtown San Francisco/Lombard Street.
• Continue on Lombard Street approximately 1.5 miles.
• Turn right onto Van Ness Avenue.
• Continue on Van Ness Avenue for 14 blocks, then turn left onto Bush Street.
• Continue on Bush Street for 12 blocks.
• Then turn right onto Montgomery Street.
• Continue on Montgomery Street and cross Market Street.
• Continue 2 more blocks to Howard Street. Turn right onto Howard Street.
• Proceed 1 block to Third Street and turn right.
• The St. Regis Hotel is located on the right side, 0.5 blocks after Howard Street. Immediately after the Museum of Modern Art, turn right onto Minna Street.

Driving from the South Bay

San Francisco International Airport, Santa Clara, San Jose, Monterey, Carmel

• Take Highway 101 North into San Francisco.
• Follow signs towards Bay Bridge onto Interstate 80 East.
• Take the last San Francisco Exit, which is Fourth Street.
• Continue through the light and turn left onto Third Street.
• Proceed along Third Street and continue for 3.5 blocks.
• The St. Regis Hotel is located on the right side, 0.5 blocks after Howard Street. Immediately after the Museum of Modern Art, turn right onto Minna Street.

Driving from Highway 280

• Take Interstate 280 North into San Francisco.
• Stay on the freeway until it ends onto King Street.
• Proceed several blocks to Third Street.
• Turn left onto Third Street
• Continue along Third Street for 6.5 blocks.
• The St. Regis Hotel is located on the right side, 0.5 blocks after Howard Street. Immediately after the Museum of Modern Art, turn right onto Minna Street.

Driving from East Bay

Oakland, Berkeley, Emeryville, Sacramento

• Take Interstate 80 West over the Bay Bridge into San Francisco.
• Take the first right exit, which is Fremont Street.
• Turn left onto Fremont Street. Proceed 0.5 blocks to Howard Street and turn left.
• Continue on Howard Street for 4 long blocks, and turn right onto Third Street.
• The St. Regis Hotel is located on the right side, 0.5 blocks after Howard Street. Immediately after the Museum of Modern Art, turn right onto Minna Street.

Driving from Oakland Airport

• Follow the signs for Interstate 880 North, towards downtown Oakland.
• Follow the signs towards San Francisco, Interstate 80 West.
• Proceed on I-80 West over the Bay Bridge, and follow the "Driving from East Bay" directions.

What’s EmTech Digital All About?

Watch video from previous EmTech Digital events to meet the leaders, understand the tech, and gain a business advantage.

Partners

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Presenting Partner

Event Partners

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    EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In doing so, we play a critical role in building a better working world for our people, for our clients and for our communities.

    Learn more at www.ey.com/innovation.

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    At Samsung NEXT, entrepreneurs are our priority. We discover and back the founders, engineers, and builders who will help Samsung define the future of software and services for the world. A leading driver of Samsung’s transformation into an integrated hardware and software company, Samsung NEXT combines product development, investment, M&A, and partnerships under one roof.

    Learn more at samsungnext.com.

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    Chatbase is a cloud service for building, analyzing, and optimizing AI-powered customer service virtual agents more easily. Powered by Google's machine learning and search capabilities, the Chatbase approach is faster, more accurate, and more comprehensive than manual methods, helping contact centers deploy a virtual agent that improves customer satisfaction in a fraction of the time. Chatbase is brought to you by Area 120, an incubator operated by Google. Learn more at chatbase.com.

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    MIT Professional Education provides a gateway to MIT expertise and knowledge for science and engineering professionals around the world. Through MIT Professional Education programs taught by renowned faculty from across the Institute, technical professionals have the opportunity to gain crucial and timely knowledge in specialized fields, to advance their careers, boost their organization’s performance, and help make a difference in the world.

    Visit professional.mit.edu for more information.

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    Artrendex is a New York-based startup, founded in 2016. Artrendex builds innovative artificial intelligence technology for the art market and creative users. The key feature of our innovations is the ability to quantify aesthetic concepts that for long-time were believed to be subjective. Artrendex has been collaborating with a variety of cultural institutions in building innovative solutions using AI. Learn more here.

XR Partner + Media Partner

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    Talespin is a global leader in the conception, creation, and distribution of AR, VR, and MR products. Backed by a track-record of successful engagements with some of the world's largest brands, Talespin is building a connected suite of extended reality solutions that inspire us to learn better, perform more consistently, and enhance our overall productivity. Confident in the belief that immersive experiences will effect transformational change for individuals as well as organizations, Talespin is on a mission to change the future. Learn more here.

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    Make your story impossible to ignore with BIGfish PR. Storytellers for top technology brands and innovators. Product launches, review campaigns, national coverage and more at BIGfishPR.com.

Interested in partnering with us?

Contact Ken Collina at 617-475-8004 or via e-mail.