Conversational artificial intelligence:
Conversational AI combines natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. Conversational chatbots that respond to questions promptly and accurately t...
Gespeichert in:
Weitere Verfasser: | , , , , , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Hoboken, NJ ; Beverly, MA
John Wiley & Sons, Inc.
2024
Hoboken, NJ ; Beverly, MA Scrivener Publishing LLC 2024 |
Schlagworte: | |
Zusammenfassung: | Conversational AI combines natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. Conversational chatbots that respond to questions promptly and accurately to help customers are a fascinating development since they make the customer service industry somewhat self-sufficient. A well-automated chatbot can decimate staffing needs, but creating one is a time-consuming process. Voice recognition technologies are becoming more critical as AI assistants like Alexa become more popular. Chatbots in the corporate world have advanced technical connections with clients thanks to improvements in artificial intelligence. However, these chatbots' increased access to sensitive information has raised serious security concerns. Threats are one-time events such as malware and DDOS (Distributed Denial of Service) assaults. Targeted strikes on companies are familiar and frequently lock workers out. User privacy violations are becoming more common, emphasizing the dangers of employing chatbots. Vulnerabilities are systemic problems that enable thieves to break in. Vulnerabilities allow threats to enter the system, hence they are inextricably linked. Malicious chatbots are widely used to spam and advertise in chat rooms by imitating human behavior and discussions, or to trick individuals into disclosing personal information like bank account details. |
Beschreibung: | Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on February 07, 2024) |
Beschreibung: | xxiii, 770 Seiten Illustrationen, Diagramme |
ISBN: | 9781394200566 |
Internformat
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245 | 1 | 0 | |a Conversational artificial intelligence |c edited by Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Piyush Vyas, Mary Sowjanya Alamanda, Kotagiri Srividya and Krishnan Sakthidasan Sankaran |
264 | 1 | |a Hoboken, NJ ; Beverly, MA |b John Wiley & Sons, Inc. |c 2024 | |
264 | 1 | |a Hoboken, NJ ; Beverly, MA |b Scrivener Publishing LLC |c 2024 | |
300 | |a xxiii, 770 Seiten |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on February 07, 2024) | ||
520 | 3 | |a Conversational AI combines natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. Conversational chatbots that respond to questions promptly and accurately to help customers are a fascinating development since they make the customer service industry somewhat self-sufficient. A well-automated chatbot can decimate staffing needs, but creating one is a time-consuming process. Voice recognition technologies are becoming more critical as AI assistants like Alexa become more popular. Chatbots in the corporate world have advanced technical connections with clients thanks to improvements in artificial intelligence. However, these chatbots' increased access to sensitive information has raised serious security concerns. Threats are one-time events such as malware and DDOS (Distributed Denial of Service) assaults. Targeted strikes on companies are familiar and frequently lock workers out. User privacy violations are becoming more common, emphasizing the dangers of employing chatbots. Vulnerabilities are systemic problems that enable thieves to break in. Vulnerabilities allow threats to enter the system, hence they are inextricably linked. Malicious chatbots are widely used to spam and advertise in chat rooms by imitating human behavior and discussions, or to trick individuals into disclosing personal information like bank account details. | |
653 | 0 | |a Artificial intelligence | |
653 | 0 | |a Intelligence artificielle | |
653 | 0 | |a artificial intelligence | |
700 | 1 | |a Rawat, Romil |d 1986- |4 edt | |
700 | 1 | |a Chakrawarti, Rajesh Kumar |4 edt | |
700 | 1 | |a Sarangi, Sanjay Kumar |0 (DE-588)1029527237 |4 edt | |
700 | 1 | |a Vyas, Piyush |4 edt | |
700 | 1 | |a Alamanda, Mary Sowjanya |4 edt | |
700 | 1 | |a Srividya, Kotagiri |4 edt | |
700 | 1 | |a Sankaran, Krishnan Sakthidasan |4 edt | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-394-20079-5 |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-394-20080-1 |
776 | 0 | |z 1394200560 |
Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author2 | Rawat, Romil 1986- Chakrawarti, Rajesh Kumar Sarangi, Sanjay Kumar Vyas, Piyush Alamanda, Mary Sowjanya Srividya, Kotagiri Sankaran, Krishnan Sakthidasan |
author2_role | edt edt edt edt edt edt edt |
author2_variant | r r rr r k c rk rkc s k s sk sks p v pv m s a ms msa k s ks k s s ks kss |
author_GND | (DE-588)1029527237 |
author_facet | Rawat, Romil 1986- Chakrawarti, Rajesh Kumar Sarangi, Sanjay Kumar Vyas, Piyush Alamanda, Mary Sowjanya Srividya, Kotagiri Sankaran, Krishnan Sakthidasan |
building | Verbundindex |
bvnumber | BV049684988 |
classification_rvk | ST 300 |
ctrlnum | (OCoLC)1443585871 (DE-599)BVBBV049684988 |
discipline | Informatik |
format | Book |
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id | DE-604.BV049684988 |
illustrated | Illustrated |
indexdate | 2024-07-20T07:55:09Z |
institution | BVB |
isbn | 9781394200566 |
language | English |
oclc_num | 1443585871 |
open_access_boolean | |
owner | DE-20 |
owner_facet | DE-20 |
physical | xxiii, 770 Seiten Illustrationen, Diagramme |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | John Wiley & Sons, Inc. Scrivener Publishing LLC |
record_format | marc |
spelling | Conversational artificial intelligence edited by Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Piyush Vyas, Mary Sowjanya Alamanda, Kotagiri Srividya and Krishnan Sakthidasan Sankaran Hoboken, NJ ; Beverly, MA John Wiley & Sons, Inc. 2024 Hoboken, NJ ; Beverly, MA Scrivener Publishing LLC 2024 xxiii, 770 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index. - Description based on online resource; title from digital title page (viewed on February 07, 2024) Conversational AI combines natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. Conversational chatbots that respond to questions promptly and accurately to help customers are a fascinating development since they make the customer service industry somewhat self-sufficient. A well-automated chatbot can decimate staffing needs, but creating one is a time-consuming process. Voice recognition technologies are becoming more critical as AI assistants like Alexa become more popular. Chatbots in the corporate world have advanced technical connections with clients thanks to improvements in artificial intelligence. However, these chatbots' increased access to sensitive information has raised serious security concerns. Threats are one-time events such as malware and DDOS (Distributed Denial of Service) assaults. Targeted strikes on companies are familiar and frequently lock workers out. User privacy violations are becoming more common, emphasizing the dangers of employing chatbots. Vulnerabilities are systemic problems that enable thieves to break in. Vulnerabilities allow threats to enter the system, hence they are inextricably linked. Malicious chatbots are widely used to spam and advertise in chat rooms by imitating human behavior and discussions, or to trick individuals into disclosing personal information like bank account details. Artificial intelligence Intelligence artificielle artificial intelligence Rawat, Romil 1986- edt Chakrawarti, Rajesh Kumar edt Sarangi, Sanjay Kumar (DE-588)1029527237 edt Vyas, Piyush edt Alamanda, Mary Sowjanya edt Srividya, Kotagiri edt Sankaran, Krishnan Sakthidasan edt Erscheint auch als Online-Ausgabe 978-1-394-20079-5 Erscheint auch als Online-Ausgabe 978-1-394-20080-1 1394200560 |
spellingShingle | Conversational artificial intelligence |
title | Conversational artificial intelligence |
title_auth | Conversational artificial intelligence |
title_exact_search | Conversational artificial intelligence |
title_full | Conversational artificial intelligence edited by Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Piyush Vyas, Mary Sowjanya Alamanda, Kotagiri Srividya and Krishnan Sakthidasan Sankaran |
title_fullStr | Conversational artificial intelligence edited by Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Piyush Vyas, Mary Sowjanya Alamanda, Kotagiri Srividya and Krishnan Sakthidasan Sankaran |
title_full_unstemmed | Conversational artificial intelligence edited by Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Piyush Vyas, Mary Sowjanya Alamanda, Kotagiri Srividya and Krishnan Sakthidasan Sankaran |
title_short | Conversational artificial intelligence |
title_sort | conversational artificial intelligence |
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