Leveraging ChatGPT and artificial intelligence for effective customer engagement:
This book provides deeper understanding on the role of Artificial Intelligence powered ChatGPT in enhancing better customer engagement and gain competitive edge.
Gespeichert in:
Weitere Verfasser: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
[2024]
|
Schlagworte: | |
Online-Zugang: | DE-91 DE-898 DE-1050 Volltext |
Zusammenfassung: | This book provides deeper understanding on the role of Artificial Intelligence powered ChatGPT in enhancing better customer engagement and gain competitive edge. |
Beschreibung: | 1 Online-Ressource (349 Seiten) |
ISBN: | 9798369308165 |
DOI: | 10.4018/979-8-3693-0815-8 |
Internformat
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Datensatz im Suchindex
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author_facet | Bansal, Rohit 1982- Chakir, Aziza 1984- Ngah, Abdul Hafaz 1973- Pruthi, Nishita 1997- |
building | Verbundindex |
bvnumber | BV049587048 |
collection | ZDB-98-IGB |
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dewey-ones | 006 - Special computer methods |
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dewey-search | 006.35 |
dewey-sort | 16.35 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
discipline_str_mv | Informatik |
doi_str_mv | 10.4018/979-8-3693-0815-8 |
format | Electronic eBook |
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id | DE-604.BV049587048 |
illustrated | Not Illustrated |
index_date | 2024-07-03T23:32:48Z |
indexdate | 2024-12-17T19:01:37Z |
institution | BVB |
isbn | 9798369308165 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034931822 |
oclc_num | 1424562006 |
open_access_boolean | |
owner | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-1050 |
owner_facet | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-1050 |
physical | 1 Online-Ressource (349 Seiten) |
psigel | ZDB-98-IGB ZDB-98-IGB TUM_Paketkauf_2024 ZDB-98-IGB FHR_PDA_IGB |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | IGI Global |
record_format | marc |
spelling | Leveraging ChatGPT and artificial intelligence for effective customer engagement edited by Rohit Bansal, Abdul Hafaz Ngah, Aziza Chakir, Nishita Pruthi Hershey, Pennsylvania IGI Global [2024] 1 Online-Ressource (349 Seiten) txt rdacontent c rdamedia cr rdacarrier This book provides deeper understanding on the role of Artificial Intelligence powered ChatGPT in enhancing better customer engagement and gain competitive edge. ChatGPT. Artificial intelligence Natural language generation (Computer science) Bansal, Rohit 1982- edt Chakir, Aziza 1984- edt Ngah, Abdul Hafaz 1973- edt Pruthi, Nishita 1997- edt Erscheint auch als Druck-Ausgabe 9798369308158 https://doi.org/10.4018/979-8-3693-0815-8 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Leveraging ChatGPT and artificial intelligence for effective customer engagement ChatGPT. Artificial intelligence Natural language generation (Computer science) |
title | Leveraging ChatGPT and artificial intelligence for effective customer engagement |
title_auth | Leveraging ChatGPT and artificial intelligence for effective customer engagement |
title_exact_search | Leveraging ChatGPT and artificial intelligence for effective customer engagement |
title_exact_search_txtP | Leveraging ChatGPT and artificial intelligence for effective customer engagement |
title_full | Leveraging ChatGPT and artificial intelligence for effective customer engagement edited by Rohit Bansal, Abdul Hafaz Ngah, Aziza Chakir, Nishita Pruthi |
title_fullStr | Leveraging ChatGPT and artificial intelligence for effective customer engagement edited by Rohit Bansal, Abdul Hafaz Ngah, Aziza Chakir, Nishita Pruthi |
title_full_unstemmed | Leveraging ChatGPT and artificial intelligence for effective customer engagement edited by Rohit Bansal, Abdul Hafaz Ngah, Aziza Chakir, Nishita Pruthi |
title_short | Leveraging ChatGPT and artificial intelligence for effective customer engagement |
title_sort | leveraging chatgpt and artificial intelligence for effective customer engagement |
topic | ChatGPT. Artificial intelligence Natural language generation (Computer science) |
topic_facet | ChatGPT. Artificial intelligence Natural language generation (Computer science) |
url | https://doi.org/10.4018/979-8-3693-0815-8 |
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