Emerging advancements in AI and big data technologies in business and society:
"Today, the convergence of Artificial Intelligence (AI) and Big Data has revolutionized industries worldwide, driving business growth and reshaping societies. While these technologies have yielded remarkable benefits, many developing countries face challenges in harnessing their potential due t...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | "Today, the convergence of Artificial Intelligence (AI) and Big Data has revolutionized industries worldwide, driving business growth and reshaping societies. While these technologies have yielded remarkable benefits, many developing countries face challenges in harnessing their potential due to inadequate data collection and availability. Emerging Advancements in AI and Big Data Technologies in Business and Society delves into the profound impact of AI and Big Data on the digital landscape and their transformative influence on social, economic, and political spheres. With a historical overview of AI's evolution and its operational definition, this book explores interconnected subfields such as problem-solving, intelligent agents, natural language processing, computer vision, and machine learning. AI is hailed as the fourth industrial revolution and the widespread use of AI technologies prompts discussions about their applications, performances, and societal impact.This book serves as a comprehensive guide for academics, researchers, and students in universities and engineering schools. It also caters to policymakers, government officers, corporate leaders, technology directors, and managers seeking to understand the potential of AI and Big Data. Additionally, libraries and information centers catering to the needs of these professionals will find this book an essential resource."-- |
| Beschreibung: | 27 PDFs (443 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369306857 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 0 | |a Emerging advancements in AI and big data technologies in business and society |c Jingyuan Zhao, Joseph Richards, V. Vinoth Kumar, editors. |
| 246 | 3 | |a Emerging advancement in artificial intelligence and big data technologies in business and society | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
| 300 | |a 27 PDFs (443 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. The foundations of AI and ML in business -- Chapter 2. AI and its impact on business and society -- Chapter 3. Industry 4.0 technologies in a developing country: the case of Costa Rica -- Chapter 4. HR analytics and employee attrition prediction using machine learning -- Chapter 5. Taxonomy of e-magazine marketing and collaboration trends -- Chapter 6. 6G for intelligent healthcare: the potential impact and the challenges -- Chapter 7. Diagnostic device for sustainable medical care using hyperspectral imaging -- Chapter 8. Identification of neuro-blastoma and pediatric cancer using time series analysis -- Chapter 9. Comparative analysis of machine learning techniques for classifying the risk of cardiovascular diseases -- Chapter 10. Investigation of various dimensionality reduction and feature selection techniques in microarray Gene data for renal cancer diagnosis -- Chapter 11. Comparative analysis of electroencephalogram signals using ensemble methods for epilepsy detection -- Chapter 12. IoT for smart cities intelligent healthcare using machine learning techniques -- Chapter 13. The effects of socioeconomic status, geological, engineering, and climate factors on machine learning-dependent forecast of water pipe failure -- Chapter 14. Design and development of autonomous and unmanned vehicles for submarine applications -- Chapter 15. Performance improvement and optimization in networks using ensemble Kalman filters -- Chapter 16. Analysis of network performance using Markov autoregressive and ARIMAX models using optimization -- Chapter 17. Artificial intelligence and big data analytics contemporary-generation wireless network -- Chapter 18. Analysis of object recognition using back propagation-based algorithms -- Chapter 19. A collaborative system for machine learning-based final-year projects with enhanced dataset accessibility -- Chapter 20. Personality prediction based on Myers-Briggs type indicator using machine learning. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Today, the convergence of Artificial Intelligence (AI) and Big Data has revolutionized industries worldwide, driving business growth and reshaping societies. While these technologies have yielded remarkable benefits, many developing countries face challenges in harnessing their potential due to inadequate data collection and availability. Emerging Advancements in AI and Big Data Technologies in Business and Society delves into the profound impact of AI and Big Data on the digital landscape and their transformative influence on social, economic, and political spheres. With a historical overview of AI's evolution and its operational definition, this book explores interconnected subfields such as problem-solving, intelligent agents, natural language processing, computer vision, and machine learning. AI is hailed as the fourth industrial revolution and the widespread use of AI technologies prompts discussions about their applications, performances, and societal impact.This book serves as a comprehensive guide for academics, researchers, and students in universities and engineering schools. It also caters to policymakers, government officers, corporate leaders, technology directors, and managers seeking to understand the potential of AI and Big Data. Additionally, libraries and information centers catering to the needs of these professionals will find this book an essential resource."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 08/12/2024). | ||
| 650 | 0 | |a Artificial intelligence |x Industrial applications. | |
| 650 | 0 | |a Big data |x Industrial applications. | |
| 653 | |a Advanced AIIot Convergent Services, Systems, Infrastructure, and Techniques. | ||
| 653 | |a AI-Empowered Big Data Analytics. | ||
| 653 | |a AI-Empowered Innovative Classification Techniques. | ||
| 653 | |a AI-IoT Convergent Smart System. | ||
| 653 | |a AI-Supported Healthcare. | ||
| 653 | |a AI-Supported IoT Data Analytics. | ||
| 653 | |a AIIot-Supported Approaches and Testbeds. | ||
| 653 | |a Big Data Convergence Technology. | ||
| 653 | |a Business and Society. | ||
| 653 | |a Cognitive Computing. | ||
| 653 | |a Intelligent IoT-Driven Diagnosis and Prognosis Mechanisms. | ||
| 653 | |a Intelligent, Autonomous, and Multi-Agents. | ||
| 653 | |a IoT Cloud-Based Predictive Analysis. | ||
| 653 | |a IoT-Cloud Platform. | ||
| 653 | |a Machine Learning. | ||
| 653 | |a Pandemic Management and Monitoring. | ||
| 653 | |a Security and Privacy. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Kumar, V. Vinoth |d 1988- |e editor. | |
| 700 | 1 | |a Richards, Joseph |d 1966- |e editor. | |
| 700 | 1 | |a Zhao, Jingyuan |d 1968- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369306833 |
| 966 | 4 | 0 | |l DE-862 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-0683-3 |3 Volltext |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
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| author_facet | Kumar, V. Vinoth 1988- Richards, Joseph 1966- Zhao, Jingyuan 1968- |
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| callnumber-first | T - Technology |
| callnumber-label | TA347 |
| callnumber-raw | TA347.A78 E434 2024e |
| callnumber-search | TA347.A78 E434 2024e |
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| contents | Chapter 1. The foundations of AI and ML in business -- Chapter 2. AI and its impact on business and society -- Chapter 3. Industry 4.0 technologies in a developing country: the case of Costa Rica -- Chapter 4. HR analytics and employee attrition prediction using machine learning -- Chapter 5. Taxonomy of e-magazine marketing and collaboration trends -- Chapter 6. 6G for intelligent healthcare: the potential impact and the challenges -- Chapter 7. Diagnostic device for sustainable medical care using hyperspectral imaging -- Chapter 8. Identification of neuro-blastoma and pediatric cancer using time series analysis -- Chapter 9. Comparative analysis of machine learning techniques for classifying the risk of cardiovascular diseases -- Chapter 10. Investigation of various dimensionality reduction and feature selection techniques in microarray Gene data for renal cancer diagnosis -- Chapter 11. Comparative analysis of electroencephalogram signals using ensemble methods for epilepsy detection -- Chapter 12. IoT for smart cities intelligent healthcare using machine learning techniques -- Chapter 13. The effects of socioeconomic status, geological, engineering, and climate factors on machine learning-dependent forecast of water pipe failure -- Chapter 14. Design and development of autonomous and unmanned vehicles for submarine applications -- Chapter 15. Performance improvement and optimization in networks using ensemble Kalman filters -- Chapter 16. Analysis of network performance using Markov autoregressive and ARIMAX models using optimization -- Chapter 17. Artificial intelligence and big data analytics contemporary-generation wireless network -- Chapter 18. Analysis of object recognition using back propagation-based algorithms -- Chapter 19. A collaborative system for machine learning-based final-year projects with enhanced dataset accessibility -- Chapter 20. Personality prediction based on Myers-Briggs type indicator using machine learning. |
| ctrlnum | (CaBNVSL)slc00006540 (OCoLC)1452678034 |
| dewey-full | 670.285/63 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 670 - Manufacturing |
| dewey-raw | 670.285/63 |
| dewey-search | 670.285/63 |
| dewey-sort | 3670.285 263 |
| dewey-tens | 670 - Manufacturing |
| discipline | Werkstoffwissenschaften / Fertigungstechnik |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00324070 |
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| indexdate | 2025-03-18T14:30:37Z |
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| isbn | 9798369306857 |
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| spelling | Emerging advancements in AI and big data technologies in business and society Jingyuan Zhao, Joseph Richards, V. Vinoth Kumar, editors. Emerging advancement in artificial intelligence and big data technologies in business and society Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 27 PDFs (443 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. The foundations of AI and ML in business -- Chapter 2. AI and its impact on business and society -- Chapter 3. Industry 4.0 technologies in a developing country: the case of Costa Rica -- Chapter 4. HR analytics and employee attrition prediction using machine learning -- Chapter 5. Taxonomy of e-magazine marketing and collaboration trends -- Chapter 6. 6G for intelligent healthcare: the potential impact and the challenges -- Chapter 7. Diagnostic device for sustainable medical care using hyperspectral imaging -- Chapter 8. Identification of neuro-blastoma and pediatric cancer using time series analysis -- Chapter 9. Comparative analysis of machine learning techniques for classifying the risk of cardiovascular diseases -- Chapter 10. Investigation of various dimensionality reduction and feature selection techniques in microarray Gene data for renal cancer diagnosis -- Chapter 11. Comparative analysis of electroencephalogram signals using ensemble methods for epilepsy detection -- Chapter 12. IoT for smart cities intelligent healthcare using machine learning techniques -- Chapter 13. The effects of socioeconomic status, geological, engineering, and climate factors on machine learning-dependent forecast of water pipe failure -- Chapter 14. Design and development of autonomous and unmanned vehicles for submarine applications -- Chapter 15. Performance improvement and optimization in networks using ensemble Kalman filters -- Chapter 16. Analysis of network performance using Markov autoregressive and ARIMAX models using optimization -- Chapter 17. Artificial intelligence and big data analytics contemporary-generation wireless network -- Chapter 18. Analysis of object recognition using back propagation-based algorithms -- Chapter 19. A collaborative system for machine learning-based final-year projects with enhanced dataset accessibility -- Chapter 20. Personality prediction based on Myers-Briggs type indicator using machine learning. Restricted to subscribers or individual electronic text purchasers. "Today, the convergence of Artificial Intelligence (AI) and Big Data has revolutionized industries worldwide, driving business growth and reshaping societies. While these technologies have yielded remarkable benefits, many developing countries face challenges in harnessing their potential due to inadequate data collection and availability. Emerging Advancements in AI and Big Data Technologies in Business and Society delves into the profound impact of AI and Big Data on the digital landscape and their transformative influence on social, economic, and political spheres. With a historical overview of AI's evolution and its operational definition, this book explores interconnected subfields such as problem-solving, intelligent agents, natural language processing, computer vision, and machine learning. AI is hailed as the fourth industrial revolution and the widespread use of AI technologies prompts discussions about their applications, performances, and societal impact.This book serves as a comprehensive guide for academics, researchers, and students in universities and engineering schools. It also caters to policymakers, government officers, corporate leaders, technology directors, and managers seeking to understand the potential of AI and Big Data. Additionally, libraries and information centers catering to the needs of these professionals will find this book an essential resource."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 08/12/2024). Artificial intelligence Industrial applications. Big data Industrial applications. Advanced AIIot Convergent Services, Systems, Infrastructure, and Techniques. AI-Empowered Big Data Analytics. AI-Empowered Innovative Classification Techniques. AI-IoT Convergent Smart System. AI-Supported Healthcare. AI-Supported IoT Data Analytics. AIIot-Supported Approaches and Testbeds. Big Data Convergence Technology. Business and Society. Cognitive Computing. Intelligent IoT-Driven Diagnosis and Prognosis Mechanisms. Intelligent, Autonomous, and Multi-Agents. IoT Cloud-Based Predictive Analysis. IoT-Cloud Platform. Machine Learning. Pandemic Management and Monitoring. Security and Privacy. Electronic books. Kumar, V. Vinoth 1988- editor. Richards, Joseph 1966- editor. Zhao, Jingyuan 1968- editor. IGI Global, publisher. Print version: 9798369306833 |
| spellingShingle | Emerging advancements in AI and big data technologies in business and society Chapter 1. The foundations of AI and ML in business -- Chapter 2. AI and its impact on business and society -- Chapter 3. Industry 4.0 technologies in a developing country: the case of Costa Rica -- Chapter 4. HR analytics and employee attrition prediction using machine learning -- Chapter 5. Taxonomy of e-magazine marketing and collaboration trends -- Chapter 6. 6G for intelligent healthcare: the potential impact and the challenges -- Chapter 7. Diagnostic device for sustainable medical care using hyperspectral imaging -- Chapter 8. Identification of neuro-blastoma and pediatric cancer using time series analysis -- Chapter 9. Comparative analysis of machine learning techniques for classifying the risk of cardiovascular diseases -- Chapter 10. Investigation of various dimensionality reduction and feature selection techniques in microarray Gene data for renal cancer diagnosis -- Chapter 11. Comparative analysis of electroencephalogram signals using ensemble methods for epilepsy detection -- Chapter 12. IoT for smart cities intelligent healthcare using machine learning techniques -- Chapter 13. The effects of socioeconomic status, geological, engineering, and climate factors on machine learning-dependent forecast of water pipe failure -- Chapter 14. Design and development of autonomous and unmanned vehicles for submarine applications -- Chapter 15. Performance improvement and optimization in networks using ensemble Kalman filters -- Chapter 16. Analysis of network performance using Markov autoregressive and ARIMAX models using optimization -- Chapter 17. Artificial intelligence and big data analytics contemporary-generation wireless network -- Chapter 18. Analysis of object recognition using back propagation-based algorithms -- Chapter 19. A collaborative system for machine learning-based final-year projects with enhanced dataset accessibility -- Chapter 20. Personality prediction based on Myers-Briggs type indicator using machine learning. Artificial intelligence Industrial applications. Big data Industrial applications. |
| title | Emerging advancements in AI and big data technologies in business and society |
| title_alt | Emerging advancement in artificial intelligence and big data technologies in business and society |
| title_auth | Emerging advancements in AI and big data technologies in business and society |
| title_exact_search | Emerging advancements in AI and big data technologies in business and society |
| title_full | Emerging advancements in AI and big data technologies in business and society Jingyuan Zhao, Joseph Richards, V. Vinoth Kumar, editors. |
| title_fullStr | Emerging advancements in AI and big data technologies in business and society Jingyuan Zhao, Joseph Richards, V. Vinoth Kumar, editors. |
| title_full_unstemmed | Emerging advancements in AI and big data technologies in business and society Jingyuan Zhao, Joseph Richards, V. Vinoth Kumar, editors. |
| title_short | Emerging advancements in AI and big data technologies in business and society |
| title_sort | emerging advancements in ai and big data technologies in business and society |
| topic | Artificial intelligence Industrial applications. Big data Industrial applications. |
| topic_facet | Artificial intelligence Industrial applications. Big data Industrial applications. Electronic books. |
| work_keys_str_mv | AT kumarvvinoth emergingadvancementsinaiandbigdatatechnologiesinbusinessandsociety AT richardsjoseph emergingadvancementsinaiandbigdatatechnologiesinbusinessandsociety AT zhaojingyuan emergingadvancementsinaiandbigdatatechnologiesinbusinessandsociety AT igiglobal emergingadvancementsinaiandbigdatatechnologiesinbusinessandsociety AT kumarvvinoth emergingadvancementinartificialintelligenceandbigdatatechnologiesinbusinessandsociety AT richardsjoseph emergingadvancementinartificialintelligenceandbigdatatechnologiesinbusinessandsociety AT zhaojingyuan emergingadvancementinartificialintelligenceandbigdatatechnologiesinbusinessandsociety AT igiglobal emergingadvancementinartificialintelligenceandbigdatatechnologiesinbusinessandsociety |