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AI-driven intelligent models for business excellence
Record Type:
Electronic resources : Monograph/item
Title/Author:
AI-driven intelligent models for business excellenceSamala Nagaraj, and Korupalli V. Rajesh Kumar, editors.
remainder title:
aArtificial intelligence-driven intelligent models for business excellence
other author:
Nagaraj, Samala,
Published:
Hershey, Pennsylvania :IGI Global,2023.
Description:
1 online resource (267 p.)
Subject:
ManagementData processing.
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-4246-3
ISBN:
9781668442487 (electronic bk.)
AI-driven intelligent models for business excellence
AI-driven intelligent models for business excellence
[electronic resource] /aArtificial intelligence-driven intelligent models for business excellenceSamala Nagaraj, and Korupalli V. Rajesh Kumar, editors. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (267 p.)
Includes bibliographical references and index.
Chapter 1. A CNN-based license plate recognition using tensor flow and PySpark -- Chapter 2. An enterprise integration method for machine learning-driven business systems -- Chapter 3. Behavioral analytics of consumer complaints -- Chapter 4. Business analysis during the pandemic crisis using deep learning models -- Chapter 5. Business tech in media and entertainment -- Chapter 6. Customer purchase prediction and potential customer identification for digital marketingusing machine learning -- Chapter 7. Failed IPO stories: stories of initial public offering -- Chapter 8. Fin-Cology or Tech-Nance?: emergence of FinTech -- Chapter 9. Forecasting the space utilization trend in corporate offices -- Chapter10. How customer relationship management influences business and how it impacts customer satisfaction and loyalty: how has technology impacted CRM? -- Chapter 11. Indian economic growth concerning the impact on FDI (foreign direct investment): impact of FDI on Indian economic growth in the pharmaceutical sector -- Chapter 12. Local brand impact during COVID-19 -- Chapter 13. Machine learning-based stock price prediction for business intelligence -- Chapter 14. Transformationand future directions of the integrated chip (IC) manufacturing industry using artificial intelligence models.
"As digital technology is taking the world in a revolutionary way and business related aspects are getting smarter this book is a potential research source on the Artificial Intelligence-based Business Applications and Intelligence"--
ISBN: 9781668442487 (electronic bk.)Subjects--Topical Terms:
219227
Management
--Data processing.Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: HD38.7 / .A33 2023eb
Dewey Class. No.: 658.4038028553
AI-driven intelligent models for business excellence
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Samala Nagaraj, and Korupalli V. Rajesh Kumar, editors.
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Includes bibliographical references and index.
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Chapter 1. A CNN-based license plate recognition using tensor flow and PySpark -- Chapter 2. An enterprise integration method for machine learning-driven business systems -- Chapter 3. Behavioral analytics of consumer complaints -- Chapter 4. Business analysis during the pandemic crisis using deep learning models -- Chapter 5. Business tech in media and entertainment -- Chapter 6. Customer purchase prediction and potential customer identification for digital marketingusing machine learning -- Chapter 7. Failed IPO stories: stories of initial public offering -- Chapter 8. Fin-Cology or Tech-Nance?: emergence of FinTech -- Chapter 9. Forecasting the space utilization trend in corporate offices -- Chapter10. How customer relationship management influences business and how it impacts customer satisfaction and loyalty: how has technology impacted CRM? -- Chapter 11. Indian economic growth concerning the impact on FDI (foreign direct investment): impact of FDI on Indian economic growth in the pharmaceutical sector -- Chapter 12. Local brand impact during COVID-19 -- Chapter 13. Machine learning-based stock price prediction for business intelligence -- Chapter 14. Transformationand future directions of the integrated chip (IC) manufacturing industry using artificial intelligence models.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-4246-3
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電子館藏
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EB HD38.7 .A33 2023eb 2023
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-4246-3
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