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Past Conferences

Conference Details - Agenda

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2019 MIT Europe Conference in Vienna

Facing the Digital Challenge
March 27-28, 2019
Day 01 Day 02 | All
 

Day 1: Wednesday, March 27, 2019

8:00 am

Registration

9:30 am

MIT Quest for Intelligence
Imagine if the next breakthrough in artificial intelligence came from the root of intelligence itself: the human brain. At a time of rapid advances in intelligence research across many disciplines, the Intelligence Quest will encourage researchers to investigate the societal implications of their work as they pursue hard problems lying beyond the current horizon of what is known. Some of these advances may be foundational in nature, involving new insight into human intelligence, and new methods to allow machines to learn effectively. Others may be practical tools for use in a wide array of research endeavors, such as disease diagnosis, drug discovery, materials and manufacturing design, automated systems, synthetic biology, and finance. Today we set out to answer two big questions: How does human intelligence work in engineering terms? And how can we use that deep grasp of human intelligence to build wiser and more useful machines, to the benefit of society?
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10:15 am

What's the European Pathway to Govern AI?

11:00 am

Networking Break

11:30 am

Creating the Next Generation Enterprise
How will your company compete in the digital economy? Based on her book What’s Your Digital Business Model? (Harvard Business School Press, 2018), co-authored with Peter Weill and cited by Forbes as one of the top ten business books in 2018, Stephanie L. Woerner presents six questions for business leaders to answer in order to navigate their digital transformation journeys. Stephanie will describe the future business model framework, based on two dimensions of major change enabled by digitization — getting closer to end consumers and moving from value chains to ecosystems—and show the financial performance of firms pursuing each model with examples drawn from a variety of industries. She will discuss what it takes to succeed in each model and the key capabilities each company must build.
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12:15 pm

How Do We Create a Market for Data?
Data is recognized as a business asset, but we lack efficient ways to price it, says MIT professor Munther Dahleh. He proposes a marketplace that bases the cost of data on the financial value it generates. Data is an important asset across many domains, including business, but Dahleh, who is also the William A. Coolidge Professor for Electrical Engineering and Computer Science at MIT, argues that we’re lacking sound ways to verify data’s value. He says the technology for a better data marketplace is already under development. The IDSS is creating such a marketplace in the context of several applications, including online advertisement and a data sharing platform for subsaharan farmers. Dahleh will discuss why current data marketplaces do not address critical issues of data as a commodity, how a more efficient one would work in matching data to users and discovering data prices, why businesses may overestimate the value of their big-data caches, and how the financial value of specific business insights will determine what a collection of data is really worth.
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1:00 pm

Lunch

2:30 pm

Startup Showcase

CATALOG
The world will generate 160 zettabytes of data in 2025. That’s more bytes than there are stars in the observable universe. Conventional storage media like flash-drives and hard-drives do not have the longevity, data density, or cost efficiency to meet the global demand. CATALOG is building the world’s first DNA-based platform for massive digital data storage.

Interpretable AI
The company is bringing interpretability to machine learning and artificial intelligence and was co-founded by Professor Dimitris Bertsimas of MIT Sloan School of Management’s Operations Research Center (ORC).

Osaro
Advanced imaging AI for robotics that can identify objects others cannot.

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3:15 pm

The End of Trust
Mistrust in social and political institutions is at an all-time high, in the US and many advanced democracies. That mistrust is both changing how people make political change and participate in social movements, and changing our relationships with new technologies. As technology becomes a space for activism with movements like “Tech Won't Build It”, and debates about the social impact of technologies underlies our political conversations, how do we build a future responsibly?
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4:00 pm

Networking Break

4:30 pm

Improving Supervised Learning with Unsupervised Deep Learning

5:15 pm

The Truth Machine: The Blockchain and the Future of Everything
As once-trusted institutions are ever more brazenly compromised, Casey lays out a case for blockchain, citing its potential to restore control over data, assets, and personal identities; disrupt industries from finance and tech to legal and shipping; and grant billions of people access to the global economy.

6:30 pm

Networking Reception and Dinner at Palais Niederösterreich (Herrengasse 13, A-1010 Vienna, Austria)
Shuttle service for all participants/speakers/team from the AFEC to the dinner location.

* All schedule and speakers are subject to change without notice.