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AI and big data's potential for disr...

Strydom, Moses, (1944-)

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AI and big data's potential for disruptive innovation

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI and big data's potential for disruptive innovation/ Moses Strydom, Sheryl Buckley, [editors]
other author:	Strydom, Moses,
Published:	Hershey, PA :Engineering Science Reference, : 2020.,
Description:	1 online resource (xxii, 405 p.)
[NT 15003449]:	The intersection of data analytics and data-driven innovation / Marcus Tanque, Independent Researcher, United States -- Harry Foxwell, George Mason University, United States -- Automated grading of tomatoes using artificial intelligence case of Zimbabwe : Artificial intelligence based research / Tawanda Mushiri, University of Zimbabwe, Zimbabwe, Liberty Tende, University of Zimbabwe, Zimbabwe -- Replaced by machines. Are intelligent (ro)bots the disruptive innovation for human workforce? / Artur Modlinski, University of Lódz, Poland -- Marcin Bartosiak, University of Pavia, Italy.
Subject:	Artificial intelligence - Industrial applications. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-9687-5
ISBN:	9781522596899 (ebk.)

AI and big data's potential for disruptive innovation
AI and big data's potential for disruptive innovation[electronic resource] /Moses Strydom, Sheryl Buckley, [editors] - Hershey, PA :Engineering Science Reference,2020. - 1 online resource (xxii, 405 p.) - Advances in computational intelligence and robotics (ACIR) book series.

Includes bibliographical references and index.

The intersection of data analytics and data-driven innovation / Marcus Tanque, Independent Researcher, United States -- Harry Foxwell, George Mason University, United States -- Automated grading of tomatoes using artificial intelligence case of Zimbabwe : Artificial intelligence based research / Tawanda Mushiri, University of Zimbabwe, Zimbabwe, Liberty Tende, University of Zimbabwe, Zimbabwe -- Replaced by machines. Are intelligent (ro)bots the disruptive innovation for human workforce? / Artur Modlinski, University of Lódz, Poland -- Marcin Bartosiak, University of Pavia, Italy.

"This book examines the disruptive technological advances involving artificial intelligence and big data"--

ISBN: 9781522596899 (ebk.)

LCCN: 2019006762Subjects--Topical Terms:

653318
Artificial intelligence
--Industrial applications.

LC Class. No.: TA347.A78 / A387 2020

Dewey Class. No.: 338/.064

AI and big data's potential for disruptive innovation
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020 $a 9781522596899 (ebk.)
020 $a 9781522596875 (hbk.)
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050 0 0 $a TA347.A78 $b A387 2020
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245 0 0 $a AI and big data's potential for disruptive innovation $h [electronic resource] / $c Moses Strydom, Sheryl Buckley, [editors]
260 $a Hershey, PA : $b Engineering Science Reference, $c 2020.
300 $a 1 online resource (xxii, 405 p.)
490 0 $a Advances in computational intelligence and robotics (ACIR) book series
504 $a Includes bibliographical references and index.
505 2 $a The intersection of data analytics and data-driven innovation / Marcus Tanque, Independent Researcher, United States -- Harry Foxwell, George Mason University, United States -- Automated grading of tomatoes using artificial intelligence case of Zimbabwe : Artificial intelligence based research / Tawanda Mushiri, University of Zimbabwe, Zimbabwe, Liberty Tende, University of Zimbabwe, Zimbabwe -- Replaced by machines. Are intelligent (ro)bots the disruptive innovation for human workforce? / Artur Modlinski, University of Lódz, Poland -- Marcin Bartosiak, University of Pavia, Italy.
520 $a "This book examines the disruptive technological advances involving artificial intelligence and big data"-- $c Provided by publisher.
650 0 $a Artificial intelligence $x Industrial applications. $3 653318
650 0 $a Big data $x Industrial applications. $3 3378933
650 0 $a Disruptive technologies. $3 753310
700 1 $a Strydom, Moses, $d 1944- $e editor. $3 3395499
700 1 $a Buckley, Sheryl, $d 1959- $e editor. $3 3452154
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-9687-5