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Digital twin technology and AI imple...

Assaf, Mansour H., (1964-)

Digital twin technology and AI implementations in future-focused businesses

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Digital twin technology and AI implementations in future-focused businessesSivaram Ponnusamy, Mansour Assaf, Jilali Antari, Satyanand Singh, Swaminathan Kalyanaraman, editors.
其他題名:	Digital twin technology and artificial intelligence implementations in future-focused businesses
其他作者:	Kalyanaraman, Swaminathan,
出版者:	Hershey, Pennsylvania :IGI Global,2024.
面頁冊數:	1 online resource (331 p.)
標題:	BusinessTechnological innovations.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1818-8
ISBN:	9798369318195$q(ebook)

Digital twin technology and AI implementations in future-focused businesses
Digital twin technology and AI implementations in future-focused businesses[electronic resource] /Digital twin technology and artificial intelligence implementations in future-focused businessesSivaram Ponnusamy, Mansour Assaf, Jilali Antari, Satyanand Singh, Swaminathan Kalyanaraman, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (331 p.)

Includes bibliographical references and index.

Chapter 1. A routing in VANET towards smart business cities using optimization techniques -- Chapter 2. A Survey of AI integration in unmanned aerial vehicles (uavs) using digital twin technology: advancements and applications -- Chapter 3. AI business boost approach for small business and shopkeepers: advanced approach for business -- Chapter 4. AI-driven speech sign converter for business: improving communication and collaboration -- Chapter 5. AI-driven data analytics within digital twins: transformative potential and ethical consideration -- Chapter 6. Amplifying digital twins through the integration of wireless sensor networks: in-depth exploration -- Chapter 7. Challenges with business process models: what can we learn from "Google maps"? -- Chapter 8. Data security and privacy in the age of AI and digital twins -- Chapter 9. Enhancing digital twins with wireless sensor networks: an in-depth exploration -- Chapter 10. Exploring digital twin technologies to examine transformation in healthcare systems -- Chapter 11. Integrating digital twin technology and artificial intelligence for tomorrow's businesses: strategic imperatives -- Chapter 12. Investigating cloud-powereddigital twin power flow research and implementation -- Chapter 13. No barrier: breaking language barriers with NMT and digital twin synergies -- Chapter 14. Optimizing business processes using AI and digital twin -- Chapter 15. Synergies ofdigital twin technology and AI: future-focused innovations in business -- Chapter 16. The automated fire safety integration system with digital twin technology using sensors -- Chapter 17. The roadmap to AI and digital twin adoption -- Chapter 18. The role of digital twin technology in engagement detection of learners in online learning platforms -- Chapter 19. Unlocking the potential of AI-powered digital twins in advancing space technology: a comprehensive survey.

"In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin technology to stay competitive and relevant. This challenge is exacerbated by the rapid evolution of these technologies and the urgent need for businesses to adapt. AI continues to advance in areas such as language comprehension, pattern recognition, decision-making, and experiential learning, while digital twins are transforming into electronic replicas of real-world entities. Consequently, businesses grapple with the complexities of navigating this transformative convergence.Digital Twin Technology and AI Implementations in Future-Focused Businesses addresses the pressing issue of how AI and digital twin technology are altering the very fabric of business operations. It delves into the profound implications for productivity, creativity, and decision-making in organizations across diverse industries. Staying ahead of the technical curve is crucial, and this book equips readers with the knowledge and insights needed to thrive in this evolving business landscape."--

ISBN: 9798369318195$q(ebook)Subjects--Topical Terms:

674704
Business
--Technological innovations.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: HD45 / .D4899 2024e

Dewey Class. No.: 658.4/063

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504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. A routing in VANET towards smart business cities using optimization techniques -- Chapter 2. A Survey of AI integration in unmanned aerial vehicles (uavs) using digital twin technology: advancements and applications -- Chapter 3. AI business boost approach for small business and shopkeepers: advanced approach for business -- Chapter 4. AI-driven speech sign converter for business: improving communication and collaboration -- Chapter 5. AI-driven data analytics within digital twins: transformative potential and ethical consideration -- Chapter 6. Amplifying digital twins through the integration of wireless sensor networks: in-depth exploration -- Chapter 7. Challenges with business process models: what can we learn from "Google maps"? -- Chapter 8. Data security and privacy in the age of AI and digital twins -- Chapter 9. Enhancing digital twins with wireless sensor networks: an in-depth exploration -- Chapter 10. Exploring digital twin technologies to examine transformation in healthcare systems -- Chapter 11. Integrating digital twin technology and artificial intelligence for tomorrow's businesses: strategic imperatives -- Chapter 12. Investigating cloud-powereddigital twin power flow research and implementation -- Chapter 13. No barrier: breaking language barriers with NMT and digital twin synergies -- Chapter 14. Optimizing business processes using AI and digital twin -- Chapter 15. Synergies ofdigital twin technology and AI: future-focused innovations in business -- Chapter 16. The automated fire safety integration system with digital twin technology using sensors -- Chapter 17. The roadmap to AI and digital twin adoption -- Chapter 18. The role of digital twin technology in engagement detection of learners in online learning platforms -- Chapter 19. Unlocking the potential of AI-powered digital twins in advancing space technology: a comprehensive survey.
520 3 $a "In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin technology to stay competitive and relevant. This challenge is exacerbated by the rapid evolution of these technologies and the urgent need for businesses to adapt. AI continues to advance in areas such as language comprehension, pattern recognition, decision-making, and experiential learning, while digital twins are transforming into electronic replicas of real-world entities. Consequently, businesses grapple with the complexities of navigating this transformative convergence.Digital Twin Technology and AI Implementations in Future-Focused Businesses addresses the pressing issue of how AI and digital twin technology are altering the very fabric of business operations. It delves into the profound implications for productivity, creativity, and decision-making in organizations across diverse industries. Staying ahead of the technical curve is crucial, and this book equips readers with the knowledge and insights needed to thrive in this evolving business landscape."-- $c Provided by publisher.
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650 0 $a Technological innovations $x Management. $3 200337
650 0 $a Artificial intelligence. $3 194058
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700 1 $a Kalyanaraman, Swaminathan, $d 1987- $3 974145
700 1 $a Singh, Satyanand, $d 1972- $3 974146
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700 1 $a Assaf, Mansour H., $d 1964- $3 974148
700 1 $a Ponnusamy, Sivaram, $d 1981- $3 974149
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