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Applications of High Performance Computing and AI in Green Digital Marketing

Applications of High Performance Computing and AI in Green Digital Marketing

Arshi Naim, Shad Ahmad Khan, Arshiya Begum Mohammed, Praveen Kumar Malik
Copyright: © 2024 |Pages: 21
ISBN13: 9798369352663|ISBN13 Softcover: 9798369352670|EISBN13: 9798369352687
DOI: 10.4018/979-8-3693-5266-3.ch003
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MLA

Naim, Arshi, et al. "Applications of High Performance Computing and AI in Green Digital Marketing." AI Applications for Business, Medical, and Agricultural Sustainability, edited by Arshi Naim, IGI Global, 2024, pp. 47-67. https://doi.org/10.4018/979-8-3693-5266-3.ch003

APA

Naim, A., Khan, S. A., Mohammed, A. B., & Malik, P. K. (2024). Applications of High Performance Computing and AI in Green Digital Marketing. In A. Naim (Ed.), AI Applications for Business, Medical, and Agricultural Sustainability (pp. 47-67). IGI Global. https://doi.org/10.4018/979-8-3693-5266-3.ch003

Chicago

Naim, Arshi, et al. "Applications of High Performance Computing and AI in Green Digital Marketing." In AI Applications for Business, Medical, and Agricultural Sustainability, edited by Arshi Naim, 47-67. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-5266-3.ch003

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Abstract

The term digital marketing is illustrated as creating need for the products and services through electronic media such as social networking or online selling platform. This chapter explains the relevance of high-performance computing (HPC) and artificial intelligence (AI) in developing green digital marketing (GDM) for the firms for all its business operations such as developing marketing strategies by improving customer targeting, providing personalized recommendations, optimizing supply chains, and accurately forecasting market trends. This chapter focuses on the opportunities and the challenges of applying HPC and AI in GDM. Most of the challenges are associated with data quality, privacy concerns, preconceptions in algorithms, and transparency issues that need to be overcome for responsible AI and HPC implementation. The results are based on secondary data collected from the online firms using HPC and AI in GDM and recommendations are made from their experience in creating and developing needs for their products and services.

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