Mohamed Mokbel
October 6, 2016
Thinking Spatial
Self-driving cars, ride-sharing service (e.g., Uber and Lyft), and Pokemon Go are just three examples of recent disruptive applications that gained huge market share and publicity. It is expected that each self-driving car will generate 2 PB of data per year, with 10 Million of such cars by 2020. Uber has 2+ Billion rides so […]
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Felix Naumann
April 10, 2016
Reflections of a Data Skeptic
In the 21st century, our everyday lives are shaped by what machines tell us to do. Big data and their application to economy, policy, and our social life act as behavioral equalizers. And this they do under the assumption of optimization in both subtle and open ways. In fact, they are pushing individuals into uniform […]
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Letizia Tanca
February 18, 2016
Wisdom: a “double V” for Big Data
Some months ago, I found an exciting piece of news on the Web: a top manager proclaimed [1]: “If the most important thing you offer is data, you are in trouble. (….) Algorithms is where the real value lies. Algorithms define action.” How interesting! It seems to suggest that everybody, including computer scientists and in […]
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Serge Abiteboul and Julia Stoyanovich
November 20, 2015
Data, Responsibly
(This blog post is an extended version of an October 12, 2015 Le Monde op-ed article (in French)) Our society is increasingly relying on algorithms in all aspects of its operation. We trust algorithms not only to help carry out routine tasks, such as accounting and automatic manufacturing, but also to make decisions on our […]
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Alon Halevy
September 20, 2015
A Decade at Google
I recently celebrated my 10th anniversary at Google and decided to take the opportunity to share some of my reflections on the past decade. Prior to joining Google, I was on the faculty of the Department of Computer Science and Engineering at the University of Washington, where I founded the database research group that is […]
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