Our signature event on artificial intelligence and business leadership
March 23-25, 2020
The Ritz-Carlton
San Francisco, CA


TRUST. Machines we can trust, data we can trust, results we can trust. The most talked about issues in AI today: deepfakes, bias, explainability, privacy, all have trust as a common denominator.

MIT Technology Review returns to the West Coast for its signature conference on artificial intelligence, hosting leaders from academia, enterprise, and government as we examine amazing advances in AI and explore the most pressing AI adoption issues of today.

This year's program provides practical, technical and ethical guidance on deploying AI now. We are moving the conversation beyond "What are the opportunities and threats of AI?" to "How do we improve our lives and businesses with AI – technically, legally and ethically?"

Past guests have included leaders such as Andrew Ng, Chief Scientist of Baidu, Fei-Fei Li, Chief AI Scientist at Google Cloud, Rohit Prasad, Head Scientist, Alexa AI at Amazon and Harry Shum, Executive Vice President, Artificial Intelligence and Research Group, Microsoft.

New for 2020 is the AI Strategy Studio, a pre-conference insight session where attendees can learn from leading organizations about how they have integrated AI into their processes, products, and services. Additional registration required.

New This Year: AI Strategy Studio

For the first time, EmTech Digital attendees will have even more access to the experts at the heart of the AI revolution. Register for an EmTech Digital AI Strategy Studio ticket for an exclusive networking lunch and half-day program to learn from the leaders.

Join this pre-conference insight session to hear from leading organizations about how they have integrated AI into their processes, products, and services. Learn from their experiences and extract best practices to stay a step ahead with your own AI implementation plans. 


Experts at the heart of the AI revolution

Featured Speakers

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  • Emma

    Assistant Professor, Computer Science, Stanford AI for Human Impact Lab

  • Greg

    Cofounder and Chief Business Officer, Soul Machines

    Greg Cross is cofounder and chief business officer of Soul Machines. Greg is one of the original tech nomads, who has spent his career traveling to and living in every major tech market in the world. He now lives in New Zealand but creates businesses that compete on the international stage. Most recently, PowerbyProxi, a wireless charging company he cofounded, was sold to Apple in 2017.

    In 2016 Greg teamed up with Dr. Mark Sagar to create Soul Machines to build a HumanOS for Artificial Intelligence and explore the future of human machine cooperation. They are at the cutting edge of AI research: their unique Digital
    Brain, inspired by neuroscience and developmental psychology, is leading the way in what comes after deep learning, as we move towards Artificial General Intelligence. With global corporations like Autodesk, Mercedes Benz, Royal Bank of Scotland, and P&G as customers, Soul Machines is re-imagining what is possible in the delivery and underlying economics of highly personalized customer experiences and specialized knowledge.
  • David

    Researcher, OpenAI

  • Sheldon

    CEO, Darwin.AI

    Sheldon Fernandez is a respected thought leader and CEO of DarwinAI, a Canadian startup that facilitates edge and explainable AI being leveraged in numerous industries, including autonomous vehicles, consumer electronics, and aerospace. He has spoken at numerous conferences in numerous contexts and has written technical books and articles on many topics, including artificial intelligence and computational creativity. Throughout his career, Sheldon has coupled his entrepreneurial endeavors with non-technical pursuits, resulting in an interdisciplinary approach that is critical to the intelligent application of AI. He obtained a Master’s degree in theology from the University of Toronto with thesis work in neuroscience and metaethics and also pursued creative writing at Oxford University.

    Darwin’s unique technology is the byproduct of years of scholarship from their academic team at the University of Waterloo. The company was recently included on insideBigData’s list of top 50 impactful companies for 2019 and was recently named a ‘cool vendor’ by Gartner for Enterprise AI and governance.
  • Ben

    Senior Innovation Manager, DHL

    Ben Gesing is a global innovation leader with 7+ years of experience developing technical solutions in the logistics, telecommunications, and consumer electronics industries. Today he leads the Global Trend Research activities at DHL, based from the DHL Innovation Center near Bonn, Germany. He is author of the companies’ industry trend report on Artificial Intelligence in Logistics published in 2018. Together with his team, he is responsible for shaping the innovation agenda at Deutsche Post DHL Group, from publishing industry research to piloting and scaling cutting-edge solutions in the areas of artificial intelligence, computer vision, and robotics in live logistics operations together with startups, customers, and operators.
  • Song

    Assistant Professor, MIT

    Song Han is an assistant professor at MIT EECS. Dr. Han received his PhD degree in Electrical Engineering from Stanford University and a BS degree in Electrical Engineering from Tsinghua University. Dr. Han's research focuses on efficient deep learning computing. He proposed “Deep Compression” and “EIE Accelerator," which impacted the industry. His work received the best paper award in ICLR'16 and FPGA’17. He was the cofounder and chief scientist of DeePhi Tech, which was acquired by Xilinx. Dr. Han was named one of MIT Technology Review's Innovators Under 35.
  • Catherine

    Visiting Scientist, MIT Media Lab

    Dr. Catherine Havasi is an AI researcher and entrepreneur. In the late 90s, she was a crowdsourcing pioneer when she cofounded the Common Sense Computing Initiative, or ConceptNet, the first crowd-sourced project for artificial intelligence and the largest open knowledge graph for language understanding. Her work has spanned computational creativity, transfer and meta learning, natural language understanding, and educational outreach, resulting in several startup companies: Dalang, Luminoso, and Learning Unlimited. She is currently a visiting scientist at the MIT Media Lab; she directed the Digital Intuition group there under a prior appointment.
  • Danny

    Vice President of AI and Machine Learning, Unity Technologies

    Dr. Danny Lange is VP of AI and Machine Learning at Unity Technologies. He joined from Uber, where he was Head of Machine Learning. Previously, Danny was General Manager of Amazon Machine Learning. Before that, he was Principal Development Manager at Microsoft, where he led a product team focused on large-scale Machine Learning for Big Data. Danny spent eight years on Speech Recognition Systems, first as CTO of General Magic, Inc., then through his work on General Motors OnStar Virtual Advisor, one of the largest deployments of an intelligent personal assistant until Siri. Danny started his career as a Computer Scientist at IBM Research.

    Danny holds MS and PhD degrees in Computer Science from the Technical University of Denmark. He is a member of ACM and IEEE Computer Society and has several patents to his credit.
  • Gideon

    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.
  • Xiaomeng

    International Public Policy Manager, Access Partnership

    Xiaomeng Lu is Access Partnership’s International Public Policy Manager. She is well-versed in the technology sector, specializing in standards, cybersecurity, Internet governance, sustainability, and market access issues. She has extensive experience within Asia, with a strong emphasis on China; and her expertise includes how government agencies, indigenous companies, foreign businesses, industry groups, and media influence and interact with each other to form technology policy. Her in-depth understanding of the Chinese market and people serve as the basis for valuable political and policy insight and analysis. She has achieved favorable policy outcomes for Fortune 100 technology companies across the world, including in Australia, China, Hong Kong, India, Japan, Pakistan, Taiwan and the UAE.

    Before joining Access Partnership, Xiaomeng spent six years at the Information Technology Industry Council where, among other initiatives, she led a coalition of industry groups that successfully secured the indefinite delay of a Chinese manufacturing regulation, saving global information technology manufacturers billions in potential losses.

    Xiaomeng holds a Master’s Degree in International Trade Policy from Middlebury Institute of International Studies at Monterey and a Bachelor’s Degree in International Economics and Trade from Renmin University of China.
  • Gary

    Founder and CEO, Robust.AI; Professor Emeritus, NYU

    Gary Marcus is a scientist, best-selling author, and entrepreneur. He is founder and CEO of Robust.AI and was founder and CEO of Geometric Intelligence, a machine learning company acquired by Uber in 2016. He is the author of five books, including The Algebraic Mind, Kluge, The Birth of the Mind, and The New York Times best seller Guitar Zero, as well as editor of The Future of the Brain and The Norton Psychology Reader.

    He has published extensively in fields ranging from human and animal behavior to neuroscience, genetics, linguistics, evolutionary psychology, and artificial intelligence, often in leading journals such as Science and Nature, and is perhaps the youngest Professor Emeritus at NYU.
  • Aviv

    Fellow, Alliance for Securing Democracy

    Aviv Ovadya is the founder of the Thoughtful Technology Project, a 'credibility consultant', and a non-resident fellow at the German Marshall Fund's Alliance for Securing Democracy. Aviv has been involved in raising the alarm around online and AI-driven misinformation from before the 2016 US election, and his efforts have been covered by major news organizations across five continents. He received his SB and MEng degrees in computer science at MIT and worked and consulted in Silicon Valley before becoming the founding Chief Technologist at the Center for Social Media Responsibility at the University of Michigan. Aviv was also a founding member of the Credibility Coalition, consulted for Snopes, was a Knight Innovation Fellow at the Tow Center at Columbia University, and was a TED CIVIC summer resident. He has spoken internationally about addressing threats to discourse and democracy, including for TEDx, the Council on Foreign Relations, and Denmark's Ministry of Foreign Affairs, and has written for Bloomberg, HBR, and the Washington Post.

    Aviv's work to improve our information ecosystem touches on misinformation, synthetic media (e.g. deepfakes), content moderation, recommendation engines, distributed sense-making, contextualization, platform design, governance, media literacy, and operationalizing tech ethics.
  • Christine

    Research Scientist, OpenAI

    Christine Payne is a research scientist at OpenAI, where she created MuseNet, a transformer-based music generation model, which was recently used to co-compose a piece for the BBC Philharmonic. Also a Juilliard-trained classical pianist, she is particularly interested in Human/AI musical collaborations. She holds a masters in neuroscience and medicine from Stanford and graduated as valedictorian of Princeton with a degree in physics.
  • Frida

    Founder and CEO, pymetrics

    Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.

    She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.

    Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
  • Delip

    VP of Research, AI Foundation

    Delip Rao is the VP of Research at AI Foundation, where he leads speech, language, and vision research efforts for generating and detecting artificial content. Prior to this, he founded Joostware, an AI research consulting company, and The Fake News Challenge, an initiative to bring AI researchers across the world to work on fact-checking related problems.

    Delip specializes in NLP research for real-world situations. He has worked on NLP and ML research problems involving semi-supervised learning, graph-based ranking, sequence learning, distributed machine learning, and more and has published several highly-cited papers in these areas. Delip is the author of a book on Deep Learning and Natural Language Processing.

    Delip worked previously as a Research Scientist at Amazon (Alexa), Twitter, and Google.
  • Francesca

    AI Ethics Global Leader and Distinguished Research Staff Member, IBM Research

    Francesca Rossi’s research interests focus on artificial intelligence, including 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, particularly for decision support systems for group decision making. She has published over 200 scientific articles in journals, conference proceedings, and as book chapters. She has co-authored a book and has edited several volumes, including conference proceedings, collections of contributions, special issues of journals, as well as a handbook.

    She is a fellow of both the worldwide association of AI (AAAI) and of the European one (EurAI). She has been president of IJCAI (International Joint Conference on AI), an executive councilor of AAAI, and the Editor in Chief of the Journal of AI Research. She is a member of the scientific advisory board of the Future of Life Institute (Cambridge, USA) and a deputy director of the Leverhulme Centre for the Future of Intelligence (Cambridge, UK). She is in the executive committee of the IEEE global initiative on ethical considerations on the development of autonomous and intelligent systems, and she is a member of the board of directors of the Partnership on AI, where she represents IBM as one of the founding partners. She is a member of the European Commission High Level Expert Group on AI and the general chair of the AAAI 2020 conference.
  • Apoorv

    Global Head of AI, JP Morgan Chase & Co.

    Apoorv Saxena is the Global Head of Artificial Intelligence Technology for Asset & Wealth Management and Global Head of Firmwide Artificial Intelligence and Machine Learning Services at JPMorgan Chase & Co. He has 19+ years of software engineering, strategy, and management consulting, product management leadership, and entrepreneurial experience in the technology industry.

    Apoorv joined the firm from Google, where he spent the 6 years as the product & business lead for Google Cloud AI Solutions managing six product lines. Prior to Google, Apoorv was the cofounder of AI Frontiers, the leading Applied AI conference in the Bay area, and Okati Inc., a mobile payment startup providing instant credit. He also worked at McKinsey & Co. and Alcatel-Lucent, where he delivered significant impact in strategy, operations, design and build, and sales and marketing for clients in the financial and tech industries.

    Apoorv has a Bachelor of Technology in Electrical Engineering from Indian Institute of Technology, Mumbai; a Master of Science in Electrical and Computer Engineering from Purdue University of Indiana; and a Master of Business Administration, Major in Finance and Entrepreneurial Management from the Wharton School in Pennsylvania. He resides in California with his family.
  • Richard

    Chief Scientist, Salesforce

    Richard Socher is Chief Scientist at Salesforce, where he leads the company’s research efforts and works on bringing state of the art artificial intelligence solutions to Salesforce.

    Richard was awarded the Distinguished Application Paper Award at the International Conference on Machine Learning (ICML) 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, the 2014 GigaOM Structure Award, and is currently a member of the WEF Young Global Leaders Class of 2017.

    Connect with Richard on Twitter @RichardSocher.
  • Fiona

    Senior Vice President, Customer Technology, Walmart

    Fiona Tan joined Walmart in 2014 and is currently the Senior Vice President of Customer Technology. She is responsible for innovation and engineering execution on all customer-facing technology across Walmart’s physical and digital footprint. Her team leverages data and machine learning to drive marketing and advertising campaigns, oversees all personalization capabilities, and delivers the desktop and mobile customer experience for Walmart’s eCommerce as well as the technology across point-of-sale systems, pharmacy, specialty departments, and associate productivity apps in Walmart stores.

    Previously, Fiona was Walmart’s Vice President of Engineering, responsible for product roadmap and engineering capabilities for Walmart's international eCommerce businesses as well as the Sam’s Club business in the US. In addition, her team drove technology strategy and operational excellence across Walmart Labs.

    Prior to Walmart, Fiona served in a number of leadership roles at Ariba and TIBCO Software. At Ariba, she led a global engineering organization responsible for the strategy, lifecycle, and delivery of the Ariba Commerce Network. At TIBCO Software, she was responsible for a major product line as well as the management of their offshore development centers.

    Fiona has a master’s degree in Computer Science from Stanford and a bachelor’s degree in Computer Science and Engineering from Massachusetts Institute of Technology.
  • Vincent

    Principal Scientist, Google Brain

    Vincent Vanhoucke is a principal scientist in the Google Brain team and director for Google's robotics research effort. His research has spanned many areas of artificial intelligence and machine learning, from speech recognition to deep learning, computer vision, and robotics. He holds a doctorate from Stanford University and a diplôme d'ingénieur from the École Centrale Paris.
  • Maria

    Vice President of Engineering, LinkedIn Talent Solutions (LTS) and Careers

    Maria Zhang is Vice President of Engineering for LinkedIn Talent Solutions (LTS) and Careers, which helps recruiters connect with quality talent and connects job-seekers with opportunity. Prior to LinkedIn, Maria served as CTO at Tinder, where she built a world-class team of engineers and scaled the app to serve a rapidly growing global user base. Maria also worked as Vice President of Engineering for Yahoo Mobile and managed teams at Microsoft, Zillow.com, and NetIQ Corp. She also founded Alike, a mobile local recommendation app, which was later acquired by Yahoo. She studied Computer Science at Tsinghua University and graduated Eastern Michigan University with Bachelor and Master’s degrees.
What You Can Expect

» Interact with AI leaders defining modern AI from technology, management, start-up, engineering, and academic communities

» Frank and open discussion on the challenges and state change brought on by AI innovations and implications

» Learn to harness artificial intelligence to build a competitive business advantage: increase revenue, accelerate innovation, and make smart hires in a changing workforce

» Clear insights that will help you cut through the hype surrounding AI and chart a clear and actionable strategy for capitalizing on AI opportunities

EmTech Digital 2020 Schedule

Save the date:
March 23-25, 2020

Monday, March 23, 2020

  • 12:00
    Registration and Networking Lunch
  • 12:30
    AI Strategy Studio
    Available to AI Strategy Studio ticket holders only

    Strategy Overview and Shaping the Customer Experience
    AI can fundamentally affect the external interactions that drive business. Hear how leading organizations are using AI to empower the processes and interactions that shape the customer experience, including how they navigated the opportunities and pitfalls associated with striking out into new frontiers.

    Enhancing Organizational Processes and Studio Wrap Up
    AI driven internal processes can recast an organization’s internal structure. Discover how industry leaders are using AI to revolutionize their own internal processes along with lessons learned when integrating AI into established systems and the related human effect within their organizations.

    Maria Zhang Vice President of Engineering, LinkedIn Talent Solutions (LTS) and Careers
    Fiona Tan Senior Vice President, Customer Technology, Walmart
    Ben Gesing Senior Innovation Manager, DHL
    Apoorv Saxena Global Head of AI, JP Morgan Chase & Co.

Tuesday, March 24, 2020

  • 8:00
    Registration and Breakfast
  • 9:00

    As more and more organizations integrate AI into their products and services, it has become clear that if the users don’t trust the decisions driven by AI, they will seek out other alternatives, never to return. We kick off our program examining the strategies currently in place to ensure successful adoption of AI from a political, technical, and international perspective.

    Francesca Rossi AI Ethics Global Leader and Distinguished Research Staff Member, IBM Research
  • 10:30
    Networking Break
  • 11:00
    AI Deception

    The convergence of digital video and AI has ushered in the era of deepfake videos. As these videos become more prominent and realistic, what steps can be taken to counter their use in misinformation campaigns. We’ll examine technical and political solutions to defending against deepfake campaigns.

    Aviv Ovadya Fellow, Alliance for Securing Democracy
    Delip Rao VP of Research, AI Foundation
    Song Han Assistant Professor, MIT
  • 12:30
    Lunch and Networking
  • 2:00
    AI Convergence

    AI has become an inseparable part of our daily lives. It’s in our phones and our homes, so much so that it’s hard to imagine a day in the life that is not impacted in some way by AI. Returning from lunch we examine the proliferation of AI in our personal lives.

    Danny Lange Vice President of AI and Machine Learning, Unity Technologies
    Greg Cross Cofounder and Chief Business Officer, Soul Machines
  • 3:30
    Networking Break
  • 4:00
    Research Breakthroughs

    The pace of AI developments is astounding. Organizations across all industries are looking to AI to give them the competitive advantage that will win the hearts and minds of customers. To close the day, we’ve invited technical pioneers to share their latest research with our audience.

    Richard Socher Chief Scientist, Salesforce
    Vincent Vanhoucke Principal Scientist, Google Brain
    Catherine Havasi Visiting Scientist, MIT Media Lab
  • 5:30
    EmTech Digital Reception

Wednesday, March 25, 2020

  • 8:00
    Registration and Breakfast
  • 9:00
    The Road to Artificial General Intelligence

    It may be difficult for us to imagine a world in which AI creates architectural drawings or controls robotics to perform medical surgeries. However, it was once unfathomable that a computer could beat a human at chess or drive a car autonomously. How far away are we from artificial general intelligence, and what obstacles must be overcome to get us there?

    Gary Marcus Founder and CEO, Robust.AI; Professor Emeritus, NYU
  • 10:30
    Networking Break
  • 11:00
    Solving Bias

    Bias is the silent killer of AI. Lurking deep in data and algorithms, these hidden prejudices skew AI results in unexpected and undesired directions. The segment explores practical approaches to addressing bias in algorithms and data.

    Sheldon Fernandez CEO, Darwin.AI
    Frida Polli Founder and CEO, pymetrics
    Emma Brunskill Assistant Professor, Computer Science, Stanford AI for Human Impact Lab
  • 12:00
    Lunch and Networking
  • 1:30
    Workforce and the World Around Us

    Artificial Intelligence is one of the driving forces turning traditional businesses into tech companies. Across all industries, AI is changing the way we work. This afternoon, we’ll examine AI’s impact on the workplace and workforce.

  • 3:00
    Networking Break
  • 3:30
    Unexpected AI

    And now for something completely different! Well, not completely different – we’re still talking about AI, of course – but in the most unusual places. It’s time to let your neural network break out of the box and get a little inspiration from the most unexpected places.

    David Farhi Researcher, OpenAI
  • 5:00
    Closing Toast
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 organization.

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

Register now

Reserve your seat

EmTech Digital registration includes two full days of conference sessions, a networking reception on March 24, and a closing toast on March 25.

Register for EmTech Digital and the AI Strategy Studio for the full experience. AI Strategy Studio ticket holders are invited to attend an exclusive networking lunch and half-day of premium content on March 23. Tickets are sold separately.

All paying attendees will receive a one-year complimentary digital subscription to MIT Technology Review.


We are pleased to offer discounts to MIT alumni and other members of the MIT community, non-profit organizations, select affiliate groups, and parties of three or more. A limited number of scholarships are also available. Email to inquire about your eligibility: eventsreg@technologyreview.com

  • Media Registration

    To request a media pass for an MIT Technology Review conference, please submit 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 24, 2020 for a refund less a $295 processing fee. Cancellations on and after February 24 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 bring about better-informed and more conscious decisions about technology through authoritative, influential, and trustworthy journalism. We are curating 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 conference.

    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.

What’s EmTech Digital All About?

Take a look! Watch videos from previous EmTech Digital events to meet the leaders, understand the tech, and gain a business advantage.

Venue + Travel

The Ritz-Carlton,
San Francisco

The Ritz-Carlton

Set within a 1909 landmark building in the scenic neighborhood of Nob Hill, The Ritz-Carlton, San Francisco is the city's only AAA Five-Diamond hotel. A sophisticated urban retreat featuring luxurious guest rooms and suites, globally inspired California cuisine, and a cable car stop just outside their door, guests will experience the most distinguished of luxury hotels in San Francisco, CA.

Hotel information

Ritz-Carlton, San Francisco

Discounted Conference Rate:
$399/night + tax
See more details

600 Stockton at California Street
San Francisco, CA 94108

Book online here »

You may also reserve a room by calling the Ritz-Carlton directly at +1 (877) 266-2050. Be sure to mention EmTech Digital 2020 to receive the discounted rate.

The group rate is available until February 19, 2020.


With a cable car stop right outside the hotel’s door, The Ritz-Carlton, San Francisco provides easy access to attractions and shopping near Union Square and other points of interest.


Visit their page for full directions »

From San Francisco Airport

• Follow Highway 101 North to Interstate 80 East towards the Bay Bridge
• Take the 4th Street Exit
• Exit the ramp - go straight one block to 3rd Street
• Turn left on 3rd Street
• Cross Market Street - 3rd Street becomes Kearny Street
• Follow Kearny four blocks to Pine Street
• Turn left on Pine Street and follow two blocks to Stockton Street
• Turn right on Stockton Street and into The Ritz-Carlton, San Francisco front drive

From the Oakland Airport

• Take Interstate 80 towards San Francisco
• Cross the Bay Bridge -- stay in the right lane
• Take the Fremont Street Exit
• Turn left onto Fremont Street
• Cross Market Street -- Fremont becomes Front Street
• Follow Front Street one block to Pine Street
• Turn left on Pine Street and follow for six blocks to Stockton Street
• Turn right on Stockton Street and into The Ritz-Carlton, San Francisco front drive

From the Golden Gate Bridge/North

• Take 101 South heading towards San Francisco
• Cross the Golden Gate Bridge
• Take the Lombard Street/Downtown exit
• Follow Lombard Street to VanNess Avenue and turn right
• Follow VanNess Avenue one mile to Bush Street and turn left
• Follow Bush nine blocks to Stockton Street and turn left
• Make a right into The Ritz-Carlton, San Francisco front drive

A Tradition in Technology

For 120 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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