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Big data and the computable society = algorithms and people in the digital world /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Big data and the computable society/ Domenico Talia.
Reminder of title:	algorithms and people in the digital world /
Author:	Talia, Domenico.
Published:	London :World Scientific Publishing Europe, : c2019.,
Description:	1 online resource (184 p.) :ill. :
Notes:	Translated from the Italian. First published in 2018 by Rubbettino Editore.
Subject:	Big data. -
Online resource:	https://www.worldscientific.com/worldscibooks/10.1142/q0206#t=toc
ISBN:	9781786346926

Big data and the computable society = algorithms and people in the digital world /
Talia, Domenico.

Big data and the computable societyalgorithms and people in the digital world /[electronic resource] :Domenico Talia. - 1st ed. - London :World Scientific Publishing Europe,c2019. - 1 online resource (184 p.) :ill.

Translated from the Italian. First published in 2018 by Rubbettino Editore.

Includes bibliographical references and index.

"Data and algorithms are changing our life. The awareness of importance and pervasiveness of the digital revolution is the primary element from which to start a path of knowledge to grasp what is happening in the world of big data and digital innovation and to understand these impacts on our minds and relationships between people, traceability and the computability of behavior of individuals and social organizations. This book analyses contemporary and future issues related to big data, algorithms, data analysis, artificial intelligence and the internet. It introduces and discusses relationships between digital technologies and power, the role of the pervasive algorithms in our life and the risk of technological alienation, the relationships between the use of big data, the privacy of citizens and the exercise of democracy, the techniques of artificial intelligence and their impact on the labor world, the Industry 4.0 at the time of the Internet of Things, social media, open data and public innovation. Each chapter raises a set of questions and answers to help the reader to know the key issues in the enormous maze that the tools of info-communication have built around us."--

ISBN: 9781786346926Subjects--Topical Terms:

981821
Big data.

LC Class. No.: QA76.9.B45 / T35 2019

Dewey Class. No.: 005.7

Big data and the computable society = algorithms and people in the digital world /
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245 1 0 $a Big data and the computable society $h [electronic resource] : $b algorithms and people in the digital world / $c Domenico Talia.
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260 $a London : $b World Scientific Publishing Europe, $c c2019.
300 $a 1 online resource (184 p.) : $b ill.
500 $a Translated from the Italian. First published in 2018 by Rubbettino Editore.
504 $a Includes bibliographical references and index.
520 $a "Data and algorithms are changing our life. The awareness of importance and pervasiveness of the digital revolution is the primary element from which to start a path of knowledge to grasp what is happening in the world of big data and digital innovation and to understand these impacts on our minds and relationships between people, traceability and the computability of behavior of individuals and social organizations. This book analyses contemporary and future issues related to big data, algorithms, data analysis, artificial intelligence and the internet. It introduces and discusses relationships between digital technologies and power, the role of the pervasive algorithms in our life and the risk of technological alienation, the relationships between the use of big data, the privacy of citizens and the exercise of democracy, the techniques of artificial intelligence and their impact on the labor world, the Industry 4.0 at the time of the Internet of Things, social media, open data and public innovation. Each chapter raises a set of questions and answers to help the reader to know the key issues in the enormous maze that the tools of info-communication have built around us."-- $c Publisher's website.
588 $a Title from web page (viewed April 4, 2019)
650 0 $a Big data. $3 981821
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