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
Decoding Startup Investments with Ar...
~
Grassia, Roberto,
Linked to FindBook
Google Book
Amazon
博客來
Decoding Startup Investments with Artificial Intelligence - A New Frontier in Commercial Due Diligence for Capital Providers /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Decoding Startup Investments with Artificial Intelligence - A New Frontier in Commercial Due Diligence for Capital Providers // Roberto Grassia.
Author:
Grassia, Roberto,
Description:
1 electronic resource (73 pages)
Notes:
Source: Masters Abstracts International, Volume: 86-10.
Contained By:
Masters Abstracts International86-10.
Subject:
Sentiment analysis. -
Online resource:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31914364
ISBN:
9798311936170
Decoding Startup Investments with Artificial Intelligence - A New Frontier in Commercial Due Diligence for Capital Providers /
Grassia, Roberto,
Decoding Startup Investments with Artificial Intelligence - A New Frontier in Commercial Due Diligence for Capital Providers /
Roberto Grassia. - 1 electronic resource (73 pages)
Source: Masters Abstracts International, Volume: 86-10.
This thesis explores AI's potential in financial, commercial, and ESG due diligence for capital providers evaluating startups. Interviews with AI and due diligence experts revealed AI's potential to improve specific due diligence tasks. These tasks are research-intensive, require extensive analysis, or follow set steps. Despite challenges like limited data availability and the need for nuanced judgment, the findings advocate for a hybrid approach where AI supports human expertise, beginning with simpler tasks and gradually expanding to more complex ones. This could lower costs and streamline due diligence, allowing more focus on tasks needing human expertise, thereby improving investment decision quality.
English
ISBN: 9798311936170Subjects--Topical Terms:
3266790
Sentiment analysis.
Decoding Startup Investments with Artificial Intelligence - A New Frontier in Commercial Due Diligence for Capital Providers /
LDR
:01956nmm a22003613i 4500
001
2434544
005
20250912102039.5
006
m o d
007
cr|nu||||||||
008
261011s2024 miu||||||m |||||||eng d
020
$a
9798311936170
035
$a
(MiAaPQD)AAI31914364
035
$a
(MiAaPQD)RCAAP10362177832
035
$a
AAI31914364
040
$a
MiAaPQD
$b
eng
$c
MiAaPQD
$e
rda
100
1
$a
Grassia, Roberto,
$e
author.
$3
3824552
245
1 0
$a
Decoding Startup Investments with Artificial Intelligence - A New Frontier in Commercial Due Diligence for Capital Providers /
$c
Roberto Grassia.
264
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2024
300
$a
1 electronic resource (73 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Masters Abstracts International, Volume: 86-10.
500
$a
Advisors: Castro, Joao.
502
$b
M.M.
$c
Universidade NOVA de Lisboa (Portugal)
$d
2024.
520
$a
This thesis explores AI's potential in financial, commercial, and ESG due diligence for capital providers evaluating startups. Interviews with AI and due diligence experts revealed AI's potential to improve specific due diligence tasks. These tasks are research-intensive, require extensive analysis, or follow set steps. Despite challenges like limited data availability and the need for nuanced judgment, the findings advocate for a hybrid approach where AI supports human expertise, beginning with simpler tasks and gradually expanding to more complex ones. This could lower costs and streamline due diligence, allowing more focus on tasks needing human expertise, thereby improving investment decision quality.
546
$a
English
590
$a
School code: 7029
650
4
$a
Sentiment analysis.
$2
lcstt
$3
3266790
650
4
$a
Decision making.
$3
517204
690
$a
0454
710
2
$a
Universidade NOVA de Lisboa (Portugal).
$e
degree granting institution.
$3
3767537
720
1
$a
Castro, Joao
$e
degree supervisor.
773
0
$t
Masters Abstracts International
$g
86-10.
790
$a
7029
791
$a
M.M.
792
$a
2024
856
4 0
$u
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31914364
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
W9530239
電子資源
11.線上閱覽_V
電子書
EB
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