Generative AI and multifactor productivity in business:
As organizations grapple with the challenges of a dynamic market, the integration of Artificial Intelligence (AI) emerges not only as a technological progression but a strategic necessity. The transformative potential of AI, particularly through OpenAI, holds the promise of redefining operational pa...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global
[2024]
|
| Schriftenreihe: | Advances in logistics, operations, and management science (ALOMS) book series
|
| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 URL des Erstveröffentlichers |
| Zusammenfassung: | As organizations grapple with the challenges of a dynamic market, the integration of Artificial Intelligence (AI) emerges not only as a technological progression but a strategic necessity. The transformative potential of AI, particularly through OpenAI, holds the promise of redefining operational paradigms, accelerating innovation, and unlocking unprecedented growth opportunities. However, lurking beneath this promise are challenges that demand urgent attention - from tailoring relevance for specific business units to ethical and safe integration practices. The specifics of how OpenAI can amplify labor productivity and enhance decision-making processes remain elusive. Generative AI and Multifactor Productivity in Business offers a guide surrounding the complexities of OpenAI's role in business operations. It contends that understanding OpenAI is not just beneficial; it is essential for organizations seeking to navigate economic uncertainties and unlock high levels of efficiency and growth.The book delves into the effects of OpenAI on business, with a primary objective of illuminating the scholarly and practitioner-based contributions that push the boundaries of OpenAI in business research. This exploration encompasses applications of advanced generative AI tools, language models, and innovative technologies specific to diverse businesses across sectors, scales, and regions. It emphasizes that as AI becomes more seamlessly integrated into business processes, the potential for multifactor productivity to fuel economic growth, new industries, and job opportunities is unparalleled |
| Beschreibung: | 1 Online-Ressource (xviii, 284 Seiten) Illustrationen |
| ISBN: | 9798369311998 |
| DOI: | 10.4018/979-8-3693-1198-1 |
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| 520 | |a As organizations grapple with the challenges of a dynamic market, the integration of Artificial Intelligence (AI) emerges not only as a technological progression but a strategic necessity. The transformative potential of AI, particularly through OpenAI, holds the promise of redefining operational paradigms, accelerating innovation, and unlocking unprecedented growth opportunities. However, lurking beneath this promise are challenges that demand urgent attention - from tailoring relevance for specific business units to ethical and safe integration practices. The specifics of how OpenAI can amplify labor productivity and enhance decision-making processes remain elusive. Generative AI and Multifactor Productivity in Business offers a guide surrounding the complexities of OpenAI's role in business operations. It contends that understanding OpenAI is not just beneficial; it is essential for organizations seeking to navigate economic uncertainties and unlock high levels of efficiency and growth.The book delves into the effects of OpenAI on business, with a primary objective of illuminating the scholarly and practitioner-based contributions that push the boundaries of OpenAI in business research. This exploration encompasses applications of advanced generative AI tools, language models, and innovative technologies specific to diverse businesses across sectors, scales, and regions. It emphasizes that as AI becomes more seamlessly integrated into business processes, the potential for multifactor productivity to fuel economic growth, new industries, and job opportunities is unparalleled | ||
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| indexdate | 2024-12-17T19:01:34Z |
| institution | BVB |
| isbn | 9798369311998 |
| language | English |
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| spelling | Generative AI and multifactor productivity in business Festus Fatai Adedoyin, Bryan Christiansen Generative artificial intelligence and multifactor productivity in business Hershey PA, USA IGI Global [2024] © 2024 1 Online-Ressource (xviii, 284 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Advances in logistics, operations, and management science (ALOMS) book series As organizations grapple with the challenges of a dynamic market, the integration of Artificial Intelligence (AI) emerges not only as a technological progression but a strategic necessity. The transformative potential of AI, particularly through OpenAI, holds the promise of redefining operational paradigms, accelerating innovation, and unlocking unprecedented growth opportunities. However, lurking beneath this promise are challenges that demand urgent attention - from tailoring relevance for specific business units to ethical and safe integration practices. The specifics of how OpenAI can amplify labor productivity and enhance decision-making processes remain elusive. Generative AI and Multifactor Productivity in Business offers a guide surrounding the complexities of OpenAI's role in business operations. It contends that understanding OpenAI is not just beneficial; it is essential for organizations seeking to navigate economic uncertainties and unlock high levels of efficiency and growth.The book delves into the effects of OpenAI on business, with a primary objective of illuminating the scholarly and practitioner-based contributions that push the boundaries of OpenAI in business research. This exploration encompasses applications of advanced generative AI tools, language models, and innovative technologies specific to diverse businesses across sectors, scales, and regions. It emphasizes that as AI becomes more seamlessly integrated into business processes, the potential for multifactor productivity to fuel economic growth, new industries, and job opportunities is unparalleled Artificial intelligence Business Research Industrial productivity Technological innovations Information technology Adedoyin, Festus Fatai 1989- (DE-588)1219227064 edt Christiansen, Bryan 1960- (DE-588)1079499806 edt Erscheint auch als Druck-Ausgabe 979-8-3693-1198-1 Erscheint auch als Druck-Ausgabe, Paperback 979-8-3693-4732-4 https://doi.org/10.4018/979-8-3693-1198-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Generative AI and multifactor productivity in business Artificial intelligence Business Research Industrial productivity Technological innovations Information technology |
| title | Generative AI and multifactor productivity in business |
| title_alt | Generative artificial intelligence and multifactor productivity in business |
| title_auth | Generative AI and multifactor productivity in business |
| title_exact_search | Generative AI and multifactor productivity in business |
| title_full | Generative AI and multifactor productivity in business Festus Fatai Adedoyin, Bryan Christiansen |
| title_fullStr | Generative AI and multifactor productivity in business Festus Fatai Adedoyin, Bryan Christiansen |
| title_full_unstemmed | Generative AI and multifactor productivity in business Festus Fatai Adedoyin, Bryan Christiansen |
| title_short | Generative AI and multifactor productivity in business |
| title_sort | generative ai and multifactor productivity in business |
| topic | Artificial intelligence Business Research Industrial productivity Technological innovations Information technology |
| topic_facet | Artificial intelligence Business Research Industrial productivity Technological innovations Information technology |
| url | https://doi.org/10.4018/979-8-3693-1198-1 |
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