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Applied artificial intelligencewhere...
~
Corea, Francesco.
Applied artificial intelligencewhere AI can be used in business /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Applied artificial intelligenceby Francesco Corea.
Reminder of title:
where AI can be used in business /
Author:
Corea, Francesco.
Published:
Cham :Springer International Publishing :2019.
Description:
vii, 41 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Artificial intelligence.
Online resource:
http://dx.doi.org/10.1007/978-3-319-77252-3
ISBN:
9783319772523$q(electronic bk.)
Applied artificial intelligencewhere AI can be used in business /
Corea, Francesco.
Applied artificial intelligence
where AI can be used in business /[electronic resource] :by Francesco Corea. - Cham :Springer International Publishing :2019. - vii, 41 p. :ill., digital ;24 cm. - SpringerBriefs in complexity,2191-5326. - SpringerBriefs in complexity..
AI and speech recognition -- How AI is changing the insurance landscape -- How AI is transforming financial services -- The convergence of AI and blockchain -- The new cxo gang: data, AI, and robotics -- Machine ethics and artificial moral agents.
This book deals with artificial intelligence (AI) and its several applications. It is not an organic text that should be read from the first page onwards, but rather a collection of articles that can be read at will (or at need) The idea of this work is indeed to provide some food for thoughts on how AI is impacting few verticals (insurance and financial services), affecting horizontal and technical applications (speech recognition and blockchain), and changing organizational structures (introducing new figures or dealing with ethical issues) The structure of the chapter is very similar, so I hope the reader won't find difficulties in establishing comparisons or understanding the differences between specific problems AI is being used for. The first chapter of the book is indeed showing the potential and the achievements of new AI techniques in the speech recognition domain, touching upon the topics of bots and conversational interfaces. The second and thirds chapter tackle instead verticals that are historically data-intensive but not data-driven, i.e., the financial sector and the insurance one. The following part of the book is the more technical one (and probably the most innovative), because looks at AI and its intersection with another exponential technology, namely the blockchain. Finally, the last chapters are instead more operative, because they concern new figures to be hired regardless of the organization or the sector, and ethical and moral issues related to the creation and implementation of new type of algorithms.
ISBN: 9783319772523$q(electronic bk.)
Standard No.: 10.1007/978-3-319-77252-3doiSubjects--Topical Terms:
194058
Artificial intelligence.
LC Class. No.: Q335
Dewey Class. No.: 006.3
Applied artificial intelligencewhere AI can be used in business /
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AI and speech recognition -- How AI is changing the insurance landscape -- How AI is transforming financial services -- The convergence of AI and blockchain -- The new cxo gang: data, AI, and robotics -- Machine ethics and artificial moral agents.
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This book deals with artificial intelligence (AI) and its several applications. It is not an organic text that should be read from the first page onwards, but rather a collection of articles that can be read at will (or at need) The idea of this work is indeed to provide some food for thoughts on how AI is impacting few verticals (insurance and financial services), affecting horizontal and technical applications (speech recognition and blockchain), and changing organizational structures (introducing new figures or dealing with ethical issues) The structure of the chapter is very similar, so I hope the reader won't find difficulties in establishing comparisons or understanding the differences between specific problems AI is being used for. The first chapter of the book is indeed showing the potential and the achievements of new AI techniques in the speech recognition domain, touching upon the topics of bots and conversational interfaces. The second and thirds chapter tackle instead verticals that are historically data-intensive but not data-driven, i.e., the financial sector and the insurance one. The following part of the book is the more technical one (and probably the most innovative), because looks at AI and its intersection with another exponential technology, namely the blockchain. Finally, the last chapters are instead more operative, because they concern new figures to be hired regardless of the organization or the sector, and ethical and moral issues related to the creation and implementation of new type of algorithms.
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based on 0 review(s)
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EB Q335 .C797 2019 2019
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http://dx.doi.org/10.1007/978-3-319-77252-3
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