You want to survive the data deluge: Be careful, Computational Intelligence will not serve you as a rescue boat
Emanuel Diamant

TL;DR
This paper critically examines the overhyped optimism surrounding Computational Intelligence as a solution to the data deluge, highlighting fundamental contradictions and skepticism about its effectiveness.
Contribution
It offers a philosophical critique of Computational Intelligence, emphasizing the inherent contradictions between data reliance and information processing.
Findings
Highlights the contradiction between data processing and information processing in Computational Intelligence.
Argues that reliance on Computational Intelligence may be misguided due to fundamental incompatibilities.
Provides a skeptical perspective on the potential of Computational Intelligence to handle the data flood.
Abstract
We are at the dawn of a new era, where advances in computer power, broadband communication and digital sensor technologies have led to an unprecedented flood of data inundating our surrounding. It is generally believed that means such as Computational Intelligence will help to outlive these tough times. However, these hopes are improperly high. Computational Intelligence is a surprising composition of two mutually exclusive and contradicting constituents that could be coupled only if you disregard and neglect their controversies: "Computational" implies reliance on data processing and "Intelligence" implies reliance on information processing. Only those who are indifferent to data-information discrepancy can believe that such a combination can be viable. We do not believe in miracles, so we will try to share with you our reservations.
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Taxonomy
TopicsData Quality and Management · Data Visualization and Analytics · Advanced Database Systems and Queries
