Panel discussion:

Data centricity of digital world: opportunities and challenges

The Analog to Digital transition begun in 1986 can be considered accomplished now with more than 99.9% of information in digital form [1].

Nevertheless, in this new digital world the Digital Revolution [2] did not stop, but indeed shifted to producing more and more data. Data volumes are exploding, and more data has been created in 2014-2015 than in the entire previous history of the human race [3]. This phenomenon is sometimes referred to as Big Data, a popular term that clearly evoke the current rate at which we create and make available new data, estimated to be 2.5 Quintillion bytes (Millions of Terabytes) each day [4].

This incredibly huge availability of digital data poses data itself in a central role, where for instance complex tasks can now be accomplished by (machine) learning from data.

Statistics over previously sparse data are now meaningful, and in some contexts the digital world is now mirroring the real world, being a quite decent representation that can be studied by the use of computers. A major breakthrough in the centrality of data is Deep Learning, able to learn how to translate, speak, understand images and text, or drive, just by looking at the data.

This new scenario brought by the data centricity will be the focus of the panel, where opportunities and challenges will be discussed by experts involved in the area.

Panel Moderators

  • Maurizio Atzori, University of Cagliari (Italy)
  • Wojciech Cellary, Poznan University of Economics (Poland)

Panelists:

  • Giacomo Cabri, UniMore (Italy)
  • Erich Neuhold, University of Vienna (Austria)
  • Adam Wojtowicz, Poznan University of Economics (Poland)
  • Konstantin Ziegler, University of Passau (Germany)

References

 [1] “The World’s Technological Capacity to Store, Communicate, and Compute Information”, especially Supporting online material, Martin Hilbert and Priscila López (2011), Science (journal), 332(6025), 60-65

[2] https://en.wikipedia.org/wiki/Digital_Revolution

[3] https://www.forbes.com/sites/bernardmarr/2015/09/30/big-data-20-mind-boggling-facts-everyone-must-read

[4] https://www-01.ibm.com/software/data/bigdata/what-is-big-data.html