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Peter J. Denning, Editor in ChiefThe digitally connected world has become a large, swirling sea of information stripped of context. We help our readers make sense of it, find meaning in it, learn what to trust, and speculate on our future.

Peter J. Denning,
Editor-in-Chief

 

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LATEST ARTICLES

Symposium

Big data: big data or big brother? that is the question now.

by Jeffrey Johnson, Peter Denning, Kemal A. Delic, David Sousa-Rodrigues

This ACM Ubiquity Big Data Symposium presented some of the current thinking about big data developments across four topical dimensions: social, technological, application, and educational. Big digital data has changed and will change the world in many ways. It will bring some big benefits in the future, but combined with big AI and big IoT devices creates several big challenges. These must be carefully addressed and properly resolved for the future benefit of humanity. ...


Interview

Artificial intelligence in politics: an interview with Sven Körner and Mathias Landhäußer of thingsTHINKING

Interviewed by Walter Tichy

Natural language processing, an area of artificial intelligence (AI), has attained remarkable successes. Digital assistants such as Siri and Alexa respond to spoken commands, and understand several languages. Google has demonstrated a machine can call up a restaurant and make a reservation in a manner that is indistinguishable from a human. Automated translation services are used around the world in over a hundred languages. This interview discusses a new and surprising application of language processing in politics. Though the AI software analyzes texts in German, it could be adapted to any language. The underlying technology has wider applications in text analysis, including legal tech, contracting, and others. Here is a summary. ...



Symposium

Big Data: Business, Technology, Education, and Science: Big Data (Ubiquity symposium)

July 2018
by Jeffrey Johnson, Luca Tesei, Marco Piangerelli, Emanuela Merelli, Riccardo Paci, Nenad Stojanovic, Paulo Leitão, José Barbosa, Marco Amador

Transforming the latent value of big data into real value requires the great human intelligence and application of human-data scientists. Data scientists are expected to have a wide range of technical skills alongside being passionate self-directed people who are able to work easily with others and deliver high quality outputs under pressure. Apart from people with breadth and depth of knowledge and experience in data science, we identify a new educational path to train "bridge persons" who combine knowledge of an organization's business with sufficient knowledge and understanding of data science to "bridge" between non-technical people in the business with highly skilled data scientists who add value to the business. ...


Symposium

Corporate Security is a Big Data Problem: Big Data (Ubiquity symposium)

July 2018
by Louisa Saunier, Kemal A. Delic

In modern times, we have seen a major shift toward hybrid cloud architectures, where corporations operate in a large, highly extended eco-system. Thus, the traditional enterprise security perimeter is disappearing and evolving into the concept of security intelligence. Today, to cope with the fast-changing security landscape, we need to be able to transform huge data lakes via security analytics and big data technologies into effective security intelligence to achieve a better corporate security and compliance level, support sound risk management and informed decision making. ...