The Changing Role of Marketing: Industry 5.0 - the Game Changer

Jaiwant, Sunanda Vincent

doi:10.1108/978-1-80262-277-520231014

Cited by 8 publications

(3 citation statements)

References 1 publication

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“…Targeting represents a critical application domain of AI in the advertising sector. With the help of AI, advertisers can effectively reach the right audience with the appropriate information at the appropriate moment (Bhatt, 2021;Jaiwant, 2023;Nair & Gupta, 2021;Thareja & Jain, 2019).…”

Section: Application Of Ai In Advertising Targetingmentioning

confidence: 99%

“…Specifically, AI is increasingly employed in advertising Targeting, Personalization, Content Creation, and Ad Optimization (Bhatt, 2021;Campbell, Plangger, Sands, Kietzmann, Bates, 2022;Jaiwant, 2023;Malthouse & Copulsky, 2023;Nikolajeva & Teilans, 2021). By analyzing consumer behavior, AI technology offers valuable insights that aid advertisers in formulating more effective strategies, this enhances the efficiency of advertisement information processing and decision-making (e.g., Malthouse & Copulsky, 2023;M€ uhlhoff & Willem, 2023), representing breakthroughs in the field.…”

Section: Introductionmentioning

confidence: 99%

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Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Gao,

Wang,

Xie

et al. 2023

Sage Open

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With the rapid advancement of artificial intelligence (AI) technology, the advertising industry is at a crossroads of new opportunities and challenges. This pioneering study provides an in-depth review of AI’s application in advertising, focusing especially on four key elements: Targeting, Personalization, Content Creation, and Ad Optimization. By delving deep into these areas, we uncover the potential of AI in revolutionizing the advertising sector. At the same time, we discuss the pressing ethical issues arising from the current applications of AI in advertising-related fields. Using the VOSviewer software, this study conducts an in-depth analysis of the literature, revealing the intrinsic connections of these four key elements in AI advertising based on computational advertising: Targeting and Personalization are closely linked, jointly determining who gets shown which advertisements. Content Creation generates appealing advertising content through AI during the Personalization process, while Ad Optimization relies on the outcomes of the first three elements, adjusting ad displays to achieve the highest return on investment. This research offers a fresh perspective on understanding AI’s application in advertising, aiding in the responsible and effective use of AI technology for superior ad delivery.

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Section: Application Of Ai In Advertising Targetingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Gao,

Wang,

Xie

et al. 2023

Sage Open

View full text Add to dashboard Cite

show abstract

“…As a result, there are still many challenges and limitations that need to be overcome for it to reach its full potential. One of the main challenges is the lack of widespread understanding and expertise in QC and quantum digital marketing among marketers and businesses [40]. To effectively adopt and implement quantum digital marketing strategies, businesses must invest in training and education for their employees and partners.…”

Section: Quantum Digital Marketingmentioning

confidence: 99%

Quantum computing applications for Internet of Things

Peelam,

Rout,

Chamola

2023

IET Quantum Communication

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The rapidly developing discipline of quantum computing (QC) employs ideas from quantum physics to improve the performance of traditional computers and other devices. Because of the dramatically improved speed at which it processes data, it can be applied to various issues. QC has many potential applications, but three of the most exciting applications are unstructured search, quantum simulation, and network optimisation. Several existing technologies, such as machine learning, may benefit from its increased speed and precision. In this study, the authors will explore how the principles of QC might be applied to the Internet of Things (IoT) to improve its accuracy, speed, and security. Several approaches exist for achieving this goal, such as network optimisation in IoT using QC, faster computation at IoT endpoints, securing IoT using QC, a quantum sensor for IoT, quantum digital marketing, quantum‐secured smart lock etc.

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Critical Knowledge in HR Development to Transfer from Industry 4.0 to Industry 5.0

Tuffaha

2024

Studies in Systems, Decision and Control

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The Changing Role of Marketing: Industry 5.0 - the Game Changer

Cited by 8 publications

References 1 publication

Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content Creation, and Ad Optimization

Quantum computing applications for Internet of Things

Critical Knowledge in HR Development to Transfer from Industry 4.0 to Industry 5.0

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