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

March 27-28, 2017
St. Regis Hotel
San Francisco, CA

About

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?

At EmTech Digital you’ll:

Learn how to harness new technologies to build a competitive business advantage: increase revenue, ensure security, make the best hires in a changing workforce.

Gain clear business insights that help you cut through the noise around artificial intelligence and big data in order to chart your strategy.

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

This Year's Themes

EmTech Digital examines established and emerging artificial-intelligence techniques and explores how every industry will feel the impact of these developments.

- The State of AI
Artificial intelligence technologies already automate many of our day-to-day experiences. We’ll explore lessons learned from early applications and look ahead at ground-breaking research into natural language recognition and robots that learn from and teach each other.

- Business in the Age of AI
As artificial intelligence moves into commercial environments, expectations of the systems we interact with each day are changing quickly. Leading experts explain the impact that AI already makes in business and predict how we can expect it to change the face of industries like health care, manufacturing, transportation, enterprise IT, and the creative arts around the world.

Speakers

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

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  • John
    Ball

    SVP & GM, Salesforce Einstein

    AI in the Enterprise

    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.
  • Adam
    Bry

    CEO, Skydio

    Autonomous Drones as Airborne Assistants

    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.
  • Pedro
    Domingos

    Professor, University of Washington

    Building Machines That Will Learn, Discover, and Adapt

    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.
  • Noah
    Goodman

    Assistant Professor of Psychology, Linguistics (by courtesy), and Computer Science (by courtesy), Stanford University

    Brains, Minds, and Machines: Understanding Intelligence

    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.
  • Eric
    Horvitz

    Technical Fellow and Managing Director, Microsoft Research

    The Long View: AI Advances in the Next 100 Years

    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.
  • Peter
    Lee

    Corporate Vice President, Microsoft Research

    Lab to Market: Machine Learning in Practice

    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.
  • Gary
    Marcus

    Director, Uber AI Labs

    Driving Next-Generation Mobility

    Gary Marcus, a scientist, best-selling author, and entrepreneur, is a professor of psychology and neural science at NYU and director of Uber’s new AI Lab. His research on language, computation, artificial intelligence, and cognitive development has been published widely, in leading journals such as Science and Nature. He is also the author of four books, including The Algebraic Mind, Kluge: The Haphazard Evolution of the Human Mind, and the New York Times best-seller Guitar Zero. He contributes frequently to the New Yorker and the New York Times.
  • Andrew
    Ng

    Vice President and Chief Scientist, Baidu

    The State of AI: Deep Learning In Practice

    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.
  • Jason
    Pontin

    Editor in Chief and Publisher, MIT Technology Review

    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.
  • Carol
    Reiley

    President, Drive.ai

    Robots on the Road: AI in Autonomous Vehicles

    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.
  • Lior
    Ron

    Cofounder and President, Otto

    The Future of Transportation

    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.
  • Francesca
    Rossi

    Research Scientist, IBM T. J. Watson Research Center

    Ethics in AI

    Francesca Rossi is a research scientist at the IBM T.J. Watson Research Center and a professor of computer science at the University of Padova, Italy, currently on leave. Her research interests focus on artificial intelligence, specifically constraint reasoning, preferences, multi-agent systems, computational social choice, and collective decision making. She is also interested in ethical issues in the development and behavior of AI systems. She has published over 170 scientific articles in journals and conference proceedings, and as book chapters. She is editor in chief of the Journal of Artificial Intelligence Research, co-chairs the AAAI committee on AI and ethics, and is a member of the scientific advisory board of the Future of Life Institute. She is on the executive committee of the IEEE global initiative on ethical considerations in the development of autonomous and intelligent systems, and she belongs to the World Economic Forum Council on AI and robotics. She has given several media interviews about the future of AI and AI ethics to the Wall Street Journal, the Washington Post, Motherboard, Science, the Economist, CNBC, Eurovision, Corriere della Sera, and La Repubblica and has delivered three TEDx talks on these topics.
  • Ruslan
    Salakhutdinov

    Associate Professor, CMU and Director of AI Research, Apple

    Testing the Limitations of Machine Learning

    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.
  • Amnon
    Shashua

    Cofounder, CTO, and Chairman, Mobileye

    Machine Vision Technology Hits the Road

    Amnon Shashua, an expert in computer vision and machine learning, holds the Sachs Chair in Computer Science at the Hebrew University of Jerusalem. Amnon received his BSc in mathematics and computer science from Tel-Aviv University in 1985, his MSc in computer science in 1989 from the Weizmann Institute of Science, and his PhD in brain and cognitive sciences from the Massachusetts Institute of Technology (MIT). He completed his postdoctoral training at the Center for Biological and Computational Learning at MIT.

    In 1999, Amnon cofounded Mobileye, where he currently serves as chairman and chief technology officer. Located in Israel, Mobileye developed systems-on-chip and computer vision algorithms for detecting pedestrians, vehicles, traffic signs, lanes, and more for driving assistance systems, providing a full range of active safety features using a single camera. In 2010, Amnon cofounded the company OrCam, which harnesses computer vision artificial intelligence to assist people with visual impairments or blindness.

    Amnon received the MARR Prize Honorable Mention in 2001, the Kaye Innovation Award in 2004, and the Landau Award in Exact Sciences—Robotics in 2005.
  • Richard
    Socher

    Chief Scientist, Salesforce

    AI in the Enterprise

    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.
  • Matthew
    Zeiler

    Founder/CEO, Clarifai

    Next-Generation Computer Vision at Work

    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.

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 2017 Schedule

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

Monday, March 27, 2017

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

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

    Jason Pontin Editor in Chief and Publisher, MIT Technology Review
  • 9:15
    The State of AI

    Deep Learning in Practice

    A global view of the latest advancements from Baidu’s AI labs.

    Andrew Ng Vice President and Chief Scientist, Baidu
    The State of AI: Deep Learning In Practice
  • 9:45
    Driving Next-Generation Mobility

    A look inside Uber’s new Silicon Valley lab.

    Gary Marcus Director, Uber AI Labs
    Driving Next-Generation Mobility
  • 10:15
    Break & Networking
  • 10:45
    The Road to Autonomous Vehicles

    Autonomous vehicles will change the way we get around town, but they will also transform the shipping industry. Hear from the companies at the heart of automating vehicles, from cars to big rigs.

    Lior Ron Cofounder and President, Otto
    The Future of Transportation
    Carol Reiley President, Drive.ai
    Robots on the Road: AI in Autonomous Vehicles
    Amnon Shashua Cofounder, CTO, and Chairman, Mobileye
    Machine Vision Technology Hits the Road
  • 12:15
    Lunch & Networking
  • 2:00
    AI in the Enterprise

    The commercialization of artificial intelligence has implications for every industry.

    Peter Lee Corporate Vice President, Microsoft Research
    Lab to Market: Machine Learning in Practice
  • 2:30
    AI in the Enterprise

    A lab-to-market examination of intelligent solutions, from lab research to deployment, in enterprises around the world.

    Full program TBA

    Richard Socher Chief Scientist, Salesforce
    AI in the Enterprise
    John Ball SVP & GM, Salesforce Einstein
    AI in the Enterprise
  • 3:30
    Break & Networking
  • 4:00
    AI’s Next Leap Forward

    Startups are on the path to commercialization of AI technologies, and the stakes are growing as expectations rise in the field.

    Full program TBA

    Matthew Zeiler Founder/CEO, Clarifai
    Next-Generation Computer Vision at Work
  • 5:30
    EmTech Digital Reception

Tuesday, March 28, 2017

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

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

    Jason Pontin Editor in Chief and Publisher, MIT Technology Review
  • 9:15
    Learning Machines: A View from the Labs

    Leading academics provide insights gleaned from ongoing research that will ultimately lead to more natural collaboration between humans and machines.

    Pedro Domingos Professor, University of Washington
    Building Machines That Will Learn, Discover, and Adapt
    Noah Goodman Assistant Professor of Psychology, Linguistics (by courtesy), and Computer Science (by courtesy), Stanford University
    Brains, Minds, and Machines: Understanding Intelligence
    Ruslan Salakhutdinov Associate Professor, CMU and Director of AI Research, Apple
    Testing the Limitations of Machine Learning
  • 10:30
    Break & Networking
  • 11:00
    Technology Spotlight: Autonomous Drones

    2016 Innovator Under 35 Adam Bry shares an update on his vision for autonomous drones as airborne assistants

    Full program TBA

    Adam Bry CEO, Skydio
    Autonomous Drones as Airborne Assistants
  • 11:45
    Lunch & Networking
  • 1:30
    AI’s Next Leap Forward

    EmTech Digital takes a look at the surprising areas that are already being transformed by intelligent technologies.

    We’ll gain a global perspective on what to expect in the year ahead.

  • 3:00
    Break & Networking
  • 3:30
    Ethics in AI

    An update from industry leaders at the forefront of examining the societal impact of AI and the efforts to ensure the development of ethical machines.

    Francesca Rossi Research Scientist, IBM T. J. Watson Research Center
    Ethics in AI
    Eric Horvitz Technical Fellow and Managing Director, Microsoft Research
    The Long View: AI Advances in the Next 100 Years
  • 5:00
    Closing Toast

Featured Speaker: Andrew Ng

Vice President and Chief Scientist, Baidu
Session: The State of AI: Deep Learning In Practice

News + Views

Machine learning

Why Poker Is a Big Deal for Artificial Intelligence

Playing poker involves dealing with imperfect information, which makes the game very complex, and more like many real-world situations.

Interfaces

AI Voice Assistant Apps are Proliferating, but People Don’t Use Them

Limited to just audio, users of Amazon’s Alexa and Google’s Assistant don’t seem to stick with apps that run on their helper’s software. Would a screen help?

Neuroengineering

Voice Analysis Tech Could Diagnose Disease

Researchers enlist smartphones and machine learning to find vocal patterns that might signal post-traumatic stress disorder or even heart disease.

Practical robots

The Tiny Robots Revolutionizing Eye Surgery

Machines that are capable of making precise operations inside the human eye will make it possible to perform entirely new procedures.

St. Regis Hotel

123 Third Street
San Francisco, CA 94103

Make your reservation online >>

Discounted hotel rooms are available until February 27, 2017.

Venue + Travel

March 27-28, 2017
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.

Booking deadline is February 27, 2017

Hotel information

St. Regis Hotel

Discounted Conference Rate:
$425/night + tax
See more details

You may reserve your stay by calling the St. Regis Central Reservations line at 1-866-225-0397 and mentioning MIT Technology Review EmTech Digital. 

 

Make your reservation online here >>

 

Extending your stay? Please call the hotel directly to inquire about extending the discounted rates on shoulder nights.

 

The group rate is available until February 27, 2017.

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.

A Tradition in Technology

For more than 115 years, MIT Technology Review has been identifying important new technologies and deciphering their practical impact.

We've brought that mission and our journalism to life through EmTech since 1999, gathering the sharpest minds in the technology, engineering, academic, startup, and management communities to provide insight into the innovations that shape the world and your business.

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Speaker Nominations

We’re gathering the experts who’ll give you the inside track on the technologies and businesses that are disrupting industries, creating entirely new markets, and changing society.


Submit your nomination here >>

Speaker suggestions for EmTech Digital will be accepted until December 16.

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Pervasive computing has arrived. Digital technologies connect everything around us, making everyday things smarter. We’ll look at the implications for our personal and professional lives.

EmTech Digital provides the intelligence you’ll need to succeed by exploring tomorrow's digital technologies and explaining their global impact on business and society. You'll gain access to the innovative people and companies at the heart of the next wave of the digital revolution.

Cancellation deadline is February 26, 2017

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  • Cancellation Policy

    If you cancel your registration for EmTech Digital for any reason, you must notify us in writing before February 26, 2017, for a refund less a $295 processing fee. Cancellations on and after February 26 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.

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    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 EmTech MIT, you agree to maintain a respectful environment during all conference events.

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