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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,


Ubiquity Has Been Upgraded!

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  • The editorial board has been organized into topic areas.
  • We are beefing up the Next-Gen Panel. Volunteer!
  • Our blog is being phased out and will be replaced by opinion commentaries.



Big data: developing an open source "big data" cognitive computing platform

by Michael Kowolenko, Mladen A. Vouk

The ability to leverage diverse data types requires a robust and dynamic approach to systems design. The needs of a data scientist are as varied as the questions being explored. Compute systems have focused on the management and analysis of structured data as the driving force of analytics in business. As open source platforms have evolved, the ability to apply compute to unstructured information has exposed an array of platforms and tools available to the business and technical community. We have developed a platform that meets the needs of the analytics user requirements of both structured and unstructured data. This analytics workbench is based on acquisition, transformation, and analysis using open source tools such as Nutch, Tika, Elastic, Python, PostgreSQL, and Django to implement a cognitive compute environment that can handle widely diverse data, and can leverage the ever-expanding capabilities of infrastructure in order to provide intelligence augmentation.



High Performance Synthetic Information Environments
An integrating architecture in the age of pervasive data and computing: Big Data (Ubiquity symposium)

by Christopher L. Barrett, Jeffrey Johnson, Madhav Marathe

The complexities of social and technological policy domains, such as the economy, the environment, and public health, present challenges that require a new approach to modeling and decision-making. The information required for effective policy and decision making in these complex domains is massive in scale, fine-grained in resolution, and distributed over many data sources. Thus, one of the key challenges in building systems to support policy informatics is information integration. ...


Technology and Business Challenges of Big Data in the Digital Economy: Big Data (Ubiquity symposium)

January 2018
by Dave Penkler

The early digital economy during the dot-com days of internet commerce successfully faced its first big data challenges of click-stream analysis with map-reduce technology. Since then the digital economy has been becoming much more pervasive. As the digital economy evolves, looking to benefit from its burgeoning big data assets, an important technical-business challenge is emerging: How to acquire, store, access, and exploit the data at a cost that is lower than the incremental revenue or GDP that its exploitation generates. ...


Why putting yourself in the mind of your reader is easier---and more challenging---than you might have imagined

January 2018
by Philip Yaffe

While we may think we are writing from the reader's point of view, often we aren't. Not because we don't want to, but because we have never been taught how. ...