Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Brain rush = how to invest and compe...
~
Cohan, Peter.
Linked to FindBook
Google Book
Amazon
博客來
Brain rush = how to invest and compete in the real world of generative AI /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Brain rush/ by Peter Cohan.
Reminder of title:
how to invest and compete in the real world of generative AI /
Author:
Cohan, Peter.
Published:
Berkeley, CA :Apress : : 2024.,
Description:
xiv, 401 p. :ill., digital ;24 cm.
[NT 15003449]:
Chapter 1 title: Brain Rush -- Part I: Mining Generative AI's End User Value -- Chapter 2 title: Generative AI Customer End Uses -- Part II: Mapping The Generative AI Ecosystem -- Chapter 3 title: Generative AI Application Software -- Chapter 4 title: Generative AI Cloud Services -- Chapter 5 title: Generative AI Network Technology -- Chapter 6 title: Generative AI Semiconductors -- Part II: Panning For Generative AI Gold -- Chapter 7 title: How Companies Can Profit From Generative AI -- Chapter 8 title: Supplying The Generative AI Picks And Shovels -- Chapter 9 title: Capitalizing The Generative AI Winners -- Chapter 10 title: After the Brain Rush.
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence - Economic aspects. -
Online resource:
https://doi.org/10.1007/979-8-8688-0318-5
ISBN:
9798868803185
Brain rush = how to invest and compete in the real world of generative AI /
Cohan, Peter.
Brain rush
how to invest and compete in the real world of generative AI /[electronic resource] :by Peter Cohan. - Berkeley, CA :Apress :2024. - xiv, 401 p. :ill., digital ;24 cm.
Chapter 1 title: Brain Rush -- Part I: Mining Generative AI's End User Value -- Chapter 2 title: Generative AI Customer End Uses -- Part II: Mapping The Generative AI Ecosystem -- Chapter 3 title: Generative AI Application Software -- Chapter 4 title: Generative AI Cloud Services -- Chapter 5 title: Generative AI Network Technology -- Chapter 6 title: Generative AI Semiconductors -- Part II: Panning For Generative AI Gold -- Chapter 7 title: How Companies Can Profit From Generative AI -- Chapter 8 title: Supplying The Generative AI Picks And Shovels -- Chapter 9 title: Capitalizing The Generative AI Winners -- Chapter 10 title: After the Brain Rush.
After decades of false starts, artificial intelligence (AI) is entering the mainstream of society. That is largely due to the rapid adoption of ChatGPT, a service that responds to almost any natural language question with cogent paragraphs. ChatGPT is the leading example of generative AI -- technology that creates original text, images, video and computer code based on uncovering patterns in training data. The book will explain how generative AI works and how much economic value it could create and will map out the industry value network. For each value network stage, the book will define the industry, estimate its size, growth rate, and profit potential, identify the most successful participants, and explain how they have achieved their success and where they will compete in the future. The book will conclude with a section on what investors and business leaders should do to make an informed decision on where to place their bets. What You Will Learn Insights on how best to assemble the resources - whether by hiring a consultant or bringing on board a generative AI expert -- to build, train, and operate company specific generative AI applications How management can brainstorm, evaluate and execute the right opportunities Concepts and processes to enable investors to place bets with the highest risk-adjusted returns Who This Book is For Business and enterprises seeking to get value from generative AI, current or potential suppliers of technology and services to companies that build generative AI, and venture capitalists and public equity investors seeking to make profitable bets on generative AI companies.
ISBN: 9798868803185
Standard No.: 10.1007/979-8-8688-0318-5doiSubjects--Topical Terms:
670058
Artificial intelligence
--Economic aspects.
LC Class. No.: HC79.I55
Dewey Class. No.: 006.3
Brain rush = how to invest and compete in the real world of generative AI /
LDR
:03294nmm a2200325 a 4500
001
2374565
003
DE-He213
005
20240704125426.0
006
m d
007
cr nn 008maaau
008
241231s2024 cau s 0 eng d
020
$a
9798868803185
$q
(electronic bk.)
020
$a
9798868803178
$q
(paper)
024
7
$a
10.1007/979-8-8688-0318-5
$2
doi
035
$a
979-8-8688-0318-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HC79.I55
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
090
$a
HC79.I55
$b
C678 2024
100
1
$a
Cohan, Peter.
$3
3723489
245
1 0
$a
Brain rush
$h
[electronic resource] :
$b
how to invest and compete in the real world of generative AI /
$c
by Peter Cohan.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2024.
300
$a
xiv, 401 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Chapter 1 title: Brain Rush -- Part I: Mining Generative AI's End User Value -- Chapter 2 title: Generative AI Customer End Uses -- Part II: Mapping The Generative AI Ecosystem -- Chapter 3 title: Generative AI Application Software -- Chapter 4 title: Generative AI Cloud Services -- Chapter 5 title: Generative AI Network Technology -- Chapter 6 title: Generative AI Semiconductors -- Part II: Panning For Generative AI Gold -- Chapter 7 title: How Companies Can Profit From Generative AI -- Chapter 8 title: Supplying The Generative AI Picks And Shovels -- Chapter 9 title: Capitalizing The Generative AI Winners -- Chapter 10 title: After the Brain Rush.
520
$a
After decades of false starts, artificial intelligence (AI) is entering the mainstream of society. That is largely due to the rapid adoption of ChatGPT, a service that responds to almost any natural language question with cogent paragraphs. ChatGPT is the leading example of generative AI -- technology that creates original text, images, video and computer code based on uncovering patterns in training data. The book will explain how generative AI works and how much economic value it could create and will map out the industry value network. For each value network stage, the book will define the industry, estimate its size, growth rate, and profit potential, identify the most successful participants, and explain how they have achieved their success and where they will compete in the future. The book will conclude with a section on what investors and business leaders should do to make an informed decision on where to place their bets. What You Will Learn Insights on how best to assemble the resources - whether by hiring a consultant or bringing on board a generative AI expert -- to build, train, and operate company specific generative AI applications How management can brainstorm, evaluate and execute the right opportunities Concepts and processes to enable investors to place bets with the highest risk-adjusted returns Who This Book is For Business and enterprises seeking to get value from generative AI, current or potential suppliers of technology and services to companies that build generative AI, and venture capitalists and public equity investors seeking to make profitable bets on generative AI companies.
650
0
$a
Artificial intelligence
$x
Economic aspects.
$3
670058
650
1 4
$a
Artificial Intelligence.
$3
769149
650
2 4
$a
Investment Appraisal.
$3
2191345
650
2 4
$a
Management.
$3
516664
650
2 4
$a
Business Strategy and Leadership.
$3
3591715
650
2 4
$a
Computer and Information Systems Applications.
$3
3538505
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/979-8-8688-0318-5
950
$a
Professional and Applied Computing (SpringerNature-12059)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9495014
電子資源
11.線上閱覽_V
電子書
EB HC79.I55
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login