EmTech Digital 2017

San Francisco CA

Mar 27 - 28, 2017

Artificial intelligence is changing every business.
Don't be left behind.

AI already impacts every industry, and human-machine interaction is becoming increasingly natural and intuitive. Yet, it’s difficult to discern facts from hype. EmTech Digital does just that–giving you the business intelligence you need in this rapidly shifting landscape. Together, we’ll forge ahead on the discussions started at the conference last spring: What are the key developments of the past year? How will their commercialization affect you? What can you do right now to stay ahead?

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Adam Bry

CEO, Skydio

Bio: Adam Bry is cofounder and CEO of Skydio, a venture-backed drone startup based in the Bay Area. Prior to Skydio he helped start Project Wing at Google[x], where he worked on the flight algorithms and software. He holds an SM in aero/astro from MIT and a BS in mechanical engineering from Olin College. Adam grew up flying radio-controlled airplanes and is a former national champion in precision aerobatics Adam was honored as one of MIT Technology Review’s Innovators Under 35 for 2016. Read more about his honor.

Adam Coates

Director (Silicon Valley AI Lab), Baidu

Bio: Adam Coates is director of the Silicon Valley AI Lab at Baidu. Adam was a post-doctoral researcher at Stanford University in Computer Science. His research interests include deep learning and feature learning, HPC systems for ML, perception and vision, and reinforcement learning.

Andrew Ng

Chief Scientist, Baidu, Inc.

Bio: Dr. Andrew Ng joined Baidu in May 2014 as chief scientist. He is responsible for driving the company's global AI strategy and infrastructure. In addition to his role at Baidu, Dr. Ng is an adjunct professor in the computer science department at Stanford University. In 2011 he led the development of Stanford's Massive Open Online Course (MOOC) platform and taught an online machine-learning class that was offered to over 100,000 students. This led to the cofounding of Coursera, where he continues to serve as chairman. Previously, Dr. Ng was the founding lead of the Google Brain deep-learning project. Dr. Ng has authored or coauthored over 100 research papers in machine learning, robotics, and related fields. In 2013 he was named to the Time 100 list of the most influential persons in the world. He holds degrees from Carnegie Mellon University, MIT, and the University of California, Berkeley.

Andy Hickl

Chief Product Officer, Saffron Technology Group, Intel Corporation

Bio: Andy Hickl is the Chief Product Officer at Intel’s Saffron AI Solutions Group. Prior to Intel, Andy was a Senior Director for Innovation at Vulcan Inc., where he led development in artificial intelligence and natural language processing. Andy has also co-founded three startups around natural language technology: A.R.O. Inc. (Vulcan Ventures, Paul Allen), Swingly, and Extractiv. He also served as CEO of Language Computer Corporation, a natural language processing company. His work can be found in the proceedings of AAAI, ACL, SIGIR, and NIPS.

Ben Vigoda

CEO, Gamalon

Bio: Before founding Gamalon Machine Intelligence, Ben was the technical co-founder and CEO of Lyric Semiconductor, a startup that created the first integrated circuits and processor architectures for statistical machine learning and signal processing. Ben also co-founded Design That Matters, a not-for-profit that for the past decade has helped solve engineering and design problems in under-served communities. Ben completed his PhD at MIT developing circuits for implementing machine learning algorithms natively in hardware. He has won entrepreneurship competitions at MIT and Harvard, fellowships from Intel and the Kavli Foundation/National Academy of Sciences, and has held research appointments at MIT, HP, Mitsubishi, and the Santa Fe Institute. He has authored over 120 patents and academic publications. He recently served on the DARPA Information Science and Technology (ISAT) steering committee.

Carol Reiley

Co-founder, President (We're hiring!), drive.ai

Bio: Carol is the cofounder and president of Drive.ai, a startup using deep learning to develop the software that will power the autonomous transportation of the future. She has studied human-robot interaction extensively and worked in surgical and underwater robotics. She is also an active advocate for diversity and education in tech.

Dario Gil

Vice President, Science and Solutions, IBM Research, IBM

Bio: Dr. Gil is Vice President of Science and Solutions at IBM Research. He has direct responsibility for IBM’s science agenda, spanning the physical, mathematical, and life sciences and for IBM’s cognitive solutions research agenda, which aims to incubate future businesses. Prior to his current role, Dr. Gil was the Director of Symbiotic Cognitive Systems, where he led the creation of the Cognitive Environments Laboratory, the IBM Research THINK Lab and the IBM Watson Experience Center. Dr. Gil is also the creator and Founding Director of two research consortia: the IBM Research Frontiers Institute and the Smarter Energy Research Institute. An expert in the field of nanofabrication, he led the team that built the world's first microprocessor with immersion lithography. Dr. Gil is a frequent speaker at business events, conferences (including TED), and research universities. He received his Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.

Elizabeth Bramson-Boudreau

President, MIT Enterprise Forum

Bio: Elizabeth Bramson-Boudreau is the Chief Operating Officer of MIT Technology Review, a digitally oriented media company founded by MIT whose analysis, features, reviews, interviews, and live events explain the commercial, social, and political impact of new technologies. At MIT Technology Review Elizabeth has overall operational responsibility for new and existing programs and integrated product development efforts, providing leadership for the strategic planning process. Elizabeth has a nearly 20-year background building and running teams in world-leading media companies. She has specialized knowledge about how media companies are commercializing content in new ways to appeal to discerning, demanding consumer and 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 spent a decade working as a consultant. Elizabeth has presented to corporate audiences of all different types and has chaired conferences in front of audiences as large as 500 people. 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.

Eric Horvitz

Distinguished Scientist and Deputy Managing Director, Microsoft Research

Bio: Eric is a technical fellow and the managing director of the Microsoft Research lab at Redmond, balancing lab-wide responsibilities with ongoing research on machine intelligence and on opportunities to leverage the complementarities of human and machine intelligence. Eric’s ongoing research builds on representations of probability and utility, focusing on identifying ideal actions under conditions of uncertainty and bounded informational, computational, and cognitive resources. Beyond curiosity-driven research on foundations of machine perception, learning, and reasoning, he is excited about building real-world systems that provide value to people, organizations, and society, working in areas including human-computer interaction, information retrieval, health care, transportation, operating systems, and aerospace. Microsoft is a founding member of the Partnership on Artificial Intelligence to Benefit People and Society. Eric serves as its interim co-chair.

Francesca Rossi

IBM Research, Professor of Computer Science at University of Padova, Italy, IBM Watson

Bio: Francesca Rossi is a research scientist at the IBM T.J. Watson Research Center, currently on leave from the University of Padova, Italy. Her research interests are within artificial intelligence, and include constraint reasoning, preferences, multi-agent systems, and computational social choice. She has published over 170 papers on these and other topics related to AI. She has been president of the International Association for Constraint Programming (ACP) and of the International Joint Conference on Artificial Intelligence (IJCAI). She currently is the associate editor in chief for the Journal of AI Research (JAIR) and she is both a AAAI and and ECCAI fellow.

George Babu

Co-founder, Head of Product, Kindred.ai

Bio: George Babu is a tech entrepreneur, investor, and former venture capitalist fascinated by technology's impact on our lives, iconic blockbuster products that once seemed like science fiction, and teams that overcome insurmountable odds to bring products and technologies to market that impact the lives of billions around the world.

Ilya Sutskever

Co-founder and Research Director, OpenAI

Bio: Ilya Sutskever is Cofounder and Research Director of OpenAI. Prior to OpenAI, he was a Research Scientist on the Google Brain Team. Before that, he was a cofounder of DNNresearch. Ilya was a student in the Machine Learning group at the University of Toronto and a postdoc at Stanford University.

Jason Pontin

Chairman, MIT Enterprise Forum

Bio: As editor in chief, Jason Pontin is responsible for the editorial direction, media platforms, and business strategy of MIT Technology Review, including the rapidly expanding U.S. and international websites, the award-winning print magazine, videos, newsletters, business reports, and live events such as EmTech, the company’s annual conference focused on emerging technologies. He also serves as chairman of its international entrepreneurial network, MIT Enterprise Forum. Mr. Pontin joined MIT Technology Review in 2004 as its editor and was named publisher in August 2005. Mr. Pontin was born in London and raised in Northern California. He was educated in England, at Harrow School and Oxford University.

Jianxiong Xiao

Founder and CEO, AutoX

Bio: Jianxiong Xiao (a.k.a., Professor X) is the Founder and CEO of AutoX, Inc., a high-tech startup currently in stealth mode. Previously, he was an Assistant Professor in the Department of Computer Science at Princeton University and the founding director of the Princeton Computer Vision and Robotics Labs from 2013 to 2016. He received his Ph.D. from the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT) in 2013. Before that, he received a BEng. and MPhil. in Computer Science from the Hong Kong University of Science and Technology in 2009. His research focuses on bridging the gap between computer vision and robotics by building extremely robust and dependable computer vision systems for robot perception. In particular, he is a pioneer in the fields of 3D Deep Learning, Autonomous Driving, RGB-D Recognition and Mapping, Big Data, Large-scale Crowdsourcing, and Deep Learning for Robotics.

John Ball

SVP Product & GM Einstein, salesforce.com

Bio: John Ball has deep expertise in analytics and CRM applications and a proven track record of success in driving rapid growth at highly innovative companies. As general manager of Salesforce Einstein, John oversees the innovation and product direction of delivering AI to the Customer Success Platform. Prior to his current role, John was the CEO of KXEN for four years; he was instrumental in leading its transition from a tools company to a predictive applications company. Before joining KXEN, John served in several executive roles at Salesforce, including vice president and general manager for analytics and reporting products and vice president and general manager for Service Cloud. Before Salesforce, John was also the founder and CEO of Netonomy, the leading provider of customer self-service solutions for the telecommunications industry, and also held a number of executive roles at Business Objects, including general manager for Web products. He has master's degrees in electrical engineering from Georgia Tech and Ecole Supérieure de l'Electricité.

Kimberly Powell

Sr Director, Business Development, NVIDIA

Bio: Kimberly Powell is the senior director of deep learning at Nvidia, where she leads global business development and strategic alliance strategies to bring deep learning, data analytics, and AI to every industry.

Lior Ron

Co Founder, Otto

Bio: Lior Ron, cofounder and president of Otto, has been at the helm of some of the most exciting technological developments of the past decade. He began his career as the CTO for Israeli Army Intelligence before joining Google in 2007. There he became the product lead for Google Maps, helping to scale the business from 10 million to one billion users and to launch products including My Maps, Google Map Maker, and Google Local. After Google acquired Motorola in 2011, Lior was the first Googler recruited to transform Motorola products, launching the award-winning Moto X and Moto 360 product lines. Before leaving Google in late 2015, Lior served as an advisor to Alphabet. He has a BS and MS from Technion and an MBA from Stanford.

Martin Stumpe

Technical Lead Manager, Google Research

Bio: Martin leads the Pathology project at Google Research. Before that, he worked on Google Street View for automatically building maps using machine learning. Prior to joining Google, Martin worked on NASA's Kepler Mission to detect extrasolar planets, and started a business with a computer vision tracking software, AnTracks. His background is in Physics, in which he graduated with a PhD at the Max-Planck-Institute in Goettingen, Germany, researching the molecular mechanisms of protein folding and stability, a topic that he continued during his postdoc research at Stanford University.

Matthew Zeiler

Founder and CEO, Clarifai

Bio: Matthew Zeiler is an artificial-intelligence expert with a PhD in machine learning from NYU. His groundbreaking research in visual recognition, conducted alongside renowned machine-learning pioneers Geoff Hinton and Yann LeCun, has propelled the image recognition industry from theory to real-world practice. As the founder of Clarifai, Matt is applying his award-winning research to create the best visual recognition solutions for businesses and developers and power the next generation of intelligent apps. Reach him @MattZeiler.

Maya Gupta

Machine Learning Researcher, Google

Bio: Gupta founded and runs the GlassBox ML R&D team in Google Research, focused on making machine learning systems more transparent, more predictable, and easier to control. GlassBox collaborates with product groups across Google to solve practical machine learning problems and deliver state-of-the art machine learning solutions. Before joining Google in 2012, Gupta was professor at the University of Washington for ten years (tenured in 2009). Gupta holds a PhD in Electrical Engineering from Stanford University. Notable awards include the PECASE award from Pres. G.W. Bush for her work in classifying random signals in 2007, the 2007 Office of Naval Research YIP Award, and a National Science Foundation Graduate Fellowship. She has also worked for Ricoh's California Research Lab, NATO's Undersea Research Center, Hewlett Packard R&D, and AT&T Labs, and founded and runs Artifact Puzzles.

Noah Goodman

Associate Professor of Psychology and Computer Science, Stanford University

Bio: Noah D. Goodman studies the computational basis of natural and artificial intelligence, merging behavioral experiments with formal methods from statistics and programming languages. His research topics include language understanding, social reasoning, concept learning, probabilistic programming languages, and applications. Professor Goodman received his PhD in mathematics from the University of Texas at Austin in 2003. In 2005 he entered cognitive science, working as a postdoc and research scientist at MIT. In 2010 he moved to Stanford, where he runs the Computation and Cognition Lab. Professor Goodman has published more than 150 papers in fields including psychology, linguistics, computer science, and mathematics. His work has been recognized by the James S. McDonnell Foundation Scholar Award, the Roger N. Shepard Distinguished Visiting Scholar Award, the Alfred P. Sloan Research Fellowship in Neuroscience, and six computational modeling prizes from the Cognitive Science Society. He is a fellow of the Uber AI Labs, academic cofounder and advisor of Gamalon Labs, and advisor to several other startups.

Peter Lee

Corporate Vice President, Microsoft Research, Microsoft Corporation

Bio: Peter Lee, corporate vice president at Microsoft, brings research into the world through mission-focused technology projects, spanning deep neural networks, speech translation, FPGA-powered clouds, quantum computing, undersea data centers, augmented reality, DNA storage, and AI chatbots. Previously, he led the DARPA Network Challenge, mobilizing millions to hunt for weather balloons—a groundbreaking experiment in open innovation. He was also formerly head of Carnegie Mellon’s computer science department. As a thought leader in technology innovation, Dr. Lee has led studies on the effect of research on economic growth for the National Research Council and testified before the House Science and Technology Committee and Senate Commerce Committee on the impact of research on the nation’s competitiveness. In 2016, he was appointed to the President’s Cybersecurity Commission. Dr. Lee has been widely quoted on technology innovation by the New York Times, MIT Technology Review, Wired, Fast Company, the Economist, Ars Technica, CNN, and more.

Richard Socher

Chief Scientist, Salesforce

Bio: Richard Socher is chief scientist at Salesforce. He leads the company’s research efforts and works on bringing state-of-the-art artificial-intelligence solutions to Salesforce. Previously, Socher was the CEO and founder of MetaMind, a startup acquired by Salesforce in April 2016. MetaMind’s deep-learning AI platform analyzes, labels, and makes predictions on image and text data so businesses can make smarter, faster, and more accurate decisions. Socher was awarded the Distinguished Application Paper Award at the International Conference on Machine Learning (ICML) in 2011, the 2011 Yahoo Key Scientific Challenges Award, a Microsoft Research PhD Fellowship in 2012, a 2013 "Magic Grant" from the Brown Institute for Media Innovation, and the 2014 GigaOM Structure Award. He obtained his PhD from Stanford, working on deep learning with Chris Manning and Andrew Ng, and won the best Stanford CS PhD thesis award.

Ruslan Salakhutdinov

Director of AI Research at Apple, Apple

Bio: Ruslan Salakhutdinov received his PhD in computer science from the University of Toronto in 2009. After spending two postdoctoral years at the Massachusetts Institute of Technology Artificial Intelligence Lab, he joined the University of Toronto as an assistant professor in the Departments of Statistics and Computer Science. In 2016 he joined the Machine Learning Department at Carnegie Mellon University as an associate professor. Ruslan's primary interests lie in deep learning, machine learning, and large-scale optimization. His main research goal is to understand the computational and statistical principles required for discovering structure in large amounts of data. He is an action editor of the Journal of Machine Learning Research and served on the senior program committee of several learning conferences, including NIPS and ICML. He is an Alfred P. Sloan Research Fellow, a Microsoft Research Faculty Fellow, a Canada Research Chair in Statistical Machine Learning, a senior fellow of the Canadian Institute for Advanced Research, and a recipient of the Early Researcher Award, Connaught New Researcher Award, Google Faculty Award, and Nvidia's Pioneers of AI award.

Sameep Tandon

Co-founder and CEO, drive.ai

Bio: Sameep is the Chief Executive Officer and Cofounder of Drive.ai. He was previously a PhD candidate at Stanford’s Artificial Intelligence Lab, where he led research in Deep Learning for Self Driving Vehicles. He is a recipient of the Stanford School of Engineering Fellowship and the Mark D. Weiser Excellence in Computing Scholarship.

Tom Simonite

San Francisco Bureau Chief, MIT Technology Review

Bio: Tom Simonite is MIT Technology Review's San Francisco bureau chief. He leads coverage of new computing and Internet technologies emerging from Silicon Valley and has been reporting on the development of Bitcoin and blockchain technologies since 2011.

Toni Reid

Vice President of Alexa Experience & Echo Devices, Amazon, Amazon.com

Bio: Toni Reid oversees the product development teams for Echo devices and Alexa customer experience. Reid joined Amazon in 1998 as a recruiter and has worked on several Amazon teams since then, including Amazon Fresh, IMDb, and Amazon Media Group. She earned her bachelor’s degree in anthropology from the University of North Texas.

Vikram Mahidhar

Senior Vice President, AI Solutions, RAGE Frameworks Inc.

Bio: Vikram heads up the semantic intelligence business at RAGE Frameworks. He is responsible for establishing go-to-market strategy, building strategic relationships, shaping products, and managing P&L for the business. He is passionate about solving big business transformation problems using semantic intelligence, big data, machine learning, analytics, and automation. Prior to joining RAGE Frameworks, Vikram was a director at Deloitte.

Will Knight

Senior Editor, MIT Technology Review

Bio: 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.

Pedro Domingos

Professor, University of Washington

Bio: Pedro Domingos is a professor of computer science at the University of Washington and the author of The Master Algorithm. He is a winner of the SIGKDD Innovation Award, the highest honor in data science, and a fellow of the Association for the Advancement of Artificial Intelligence. He has received a Fulbright Scholarship, a Sloan Fellowship, the National Science Foundation’s CAREER Award, and numerous best-paper awards. His research spans a wide variety of topics in machine learning, artificial intelligence, and data science, including scaling learning algorithms to big data, maximizing word of mouth in social networks, unifying logic and probability, and deep learning.

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