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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Festus Adedoyin is a Fellow of the Higher Education Academy and a Senior Lecturer at the Department of Computing and Informatics, Bournemouth University, U.K. Festus has led the Economics of Information Security unit since 2020, with current research interest is in the application of Machine and Deep Learning, and Econometrics tools to research stories in Energy and Tourism Economics as well as Finance and Digital Health.
Bryan Christiansen is an Adjunct Business Professor at Southern New Hampshire University and the Chief Executive Officer of the management consultancy, Soluvex, LLC in New Mexico, USA. He is currently Editor-in-Chief of the IGI Global Book Series, Advances in Digital Crime, Forensics, and Cyber Terrorism as well as Advances in Psychology, Mental Health, and Behavioral Studies. Christiansen is fluent in Chinese, Japanese, and Spanish, and is currently learning Russian. He has presented at several universities in other countries including Oxford University in the United Kingdom. He earned an MBA from Capella University and a BS in Marketing from the University of the State of New York. Christiansen’s extensive travels around the world since 1973 have enabled him to produce 50 Reference books on a variety of subjects ranging from cultural studies and higher education to international business and organizational sociology. Over 70 percent of these publications have become Scopus- and/or Web of Science-indexed.
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Paperback. Condición: New. 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. The book caters to businesses, industry leaders, academics, researchers, and policymakers. It beckons readers into a world where empirical and theoretical research converge to shape the future of OpenAI and multifactor productivity. With a wide variety of recommended topics, spanning from international business and global economic dynamics to labor market adaptation, ethical implications, and environmental sustainability, the book establishes itself as a resource for anyone seeking to understand, navigate, and capitalize on the intersection of OpenAI and multifactor productivity in the ever-evolving landscape of business. Nº de ref. del artículo: LU-9798369347324
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Taschenbuch. Condición: Neu. Generative AI and Multifactor Productivity in Business | Festus Fatai Adedoyin (u. a.) | Taschenbuch | Englisch | 2024 | IGI Global | EAN 9798369347324 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 129109310
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Paperback. Condición: New. 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. The book caters to businesses, industry leaders, academics, researchers, and policymakers. It beckons readers into a world where empirical and theoretical research converge to shape the future of OpenAI and multifactor productivity. With a wide variety of recommended topics, spanning from international business and global economic dynamics to labor market adaptation, ethical implications, and environmental sustainability, the book establishes itself as a resource for anyone seeking to understand, navigate, and capitalize on the intersection of OpenAI and multifactor productivity in the ever-evolving landscape of business. Nº de ref. del artículo: LU-9798369347324
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