Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
An Introduction to Data = Everything...
~
SpringerLink (Online service)
An Introduction to Data = Everything You Need to Know About AI, Big Data and Data Science /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
An Introduction to Data/ by Francesco Corea.
Reminder of title:
Everything You Need to Know About AI, Big Data and Data Science /
Author:
Corea, Francesco.
Description:
XV, 131 p.online resource. :
Contained By:
Springer Nature eBook
Subject:
Computational intelligence. -
Online resource:
https://doi.org/10.1007/978-3-030-04468-8
ISBN:
9783030044688
An Introduction to Data = Everything You Need to Know About AI, Big Data and Data Science /
Corea, Francesco.
An Introduction to Data
Everything You Need to Know About AI, Big Data and Data Science /[electronic resource] :by Francesco Corea. - 1st ed. 2019. - XV, 131 p.online resource. - Studies in Big Data,502197-6503 ;. - Studies in Big Data,8.
Introduction to Data -- Big Data Management: How Organizations Create and Implement Data Strategies -- Introduction to Artificial Intelligence -- AI Knowledge Map: how to classify AI technologies -- Advancements in the field -- AI Business Models -- Hiring a data scientist -- AI and Speech Recognition -- AI and Insurance -- AI and Financial Services -- AI and Blockchain -- New roles in AI -- AI and Ethics -- AI and Intellectual Property -- AI and Venture Capital -- A guide to AI accelerators and incubators.
This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies. .
ISBN: 9783030044688
Standard No.: 10.1007/978-3-030-04468-8doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
An Introduction to Data = Everything You Need to Know About AI, Big Data and Data Science /
LDR
:02802nam a22003975i 4500
001
1008780
003
DE-He213
005
20200702145415.0
007
cr nn 008mamaa
008
210106s2019 gw | s |||| 0|eng d
020
$a
9783030044688
$9
978-3-030-04468-8
024
7
$a
10.1007/978-3-030-04468-8
$2
doi
035
$a
978-3-030-04468-8
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
100
1
$a
Corea, Francesco.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1109123
245
1 3
$a
An Introduction to Data
$h
[electronic resource] :
$b
Everything You Need to Know About AI, Big Data and Data Science /
$c
by Francesco Corea.
250
$a
1st ed. 2019.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
XV, 131 p.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Studies in Big Data,
$x
2197-6503 ;
$v
50
505
0
$a
Introduction to Data -- Big Data Management: How Organizations Create and Implement Data Strategies -- Introduction to Artificial Intelligence -- AI Knowledge Map: how to classify AI technologies -- Advancements in the field -- AI Business Models -- Hiring a data scientist -- AI and Speech Recognition -- AI and Insurance -- AI and Financial Services -- AI and Blockchain -- New roles in AI -- AI and Ethics -- AI and Intellectual Property -- AI and Venture Capital -- A guide to AI accelerators and incubators.
520
$a
This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained articles, includes both general strategic reflections and detailed sector-specific information. More concretely, it shares insights into what it means to work with AI and how to do it more efficiently; what it means to hire a data scientist and what new roles there are in the field; how to use AI in specific industries such as finance or insurance; how AI interacts with other technologies such as blockchain; and, in closing, a review of the use of AI in venture capital, as well as a snapshot of acceleration programs for AI companies. .
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Big data.
$3
981821
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Neural networks (Computer science) .
$3
1253765
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Big Data.
$3
1017136
650
2 4
$a
Big Data/Analytics.
$3
1106909
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Mathematical Models of Cognitive Processes and Neural Networks.
$3
884110
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030044671
776
0 8
$i
Printed edition:
$z
9783030044695
830
0
$a
Studies in Big Data,
$x
2197-6503 ;
$v
8
$3
1256918
856
4 0
$u
https://doi.org/10.1007/978-3-030-04468-8
912
$a
ZDB-2-INR
912
$a
ZDB-2-SXIT
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
950
$a
Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login