The Role of Artificial Intelligence in Digital Marketing Innovation

Authors

  • Ikhwan Taufik Universitas Tidar
  • Andriyatna Agung Kurniawan Universitas Tidar

DOI:

https://doi.org/10.55927/snimekb.v2i1.4602

Keywords:

Artificial Intelligence, Digital Marketing, Machine Learning

Abstract

The purpose of this article is to describe and analyze the basic concepts of Artificial Intelligence (AI) and identify fields of AI derivatives that can be applied in digital marketing innovations. This article also explores the various applications of AI, and their impact on the effectiveness and efficiency of digital marketing. AI plays a significant role in digital marketing. AI has changed the way companies interact with customers and how they manage advertising. By combining machine intelligence and data analysis, companies can improve the targeting, personalization, and effectiveness of their ads, resulting in a better experience for customers and better results for the business they run. The recommendation is for the machine learning sub-field to continue to be developed to get more benefits. However, other sub-fields in AI are equally important to develop.

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References

Akande, T. D., & Haq, M. I. (2021). Role of Machine learning in Online Advertising. 8(8), 737–740.

Badea (Stroie), L. M. (2014). Predicting Consumer Behavior with Artificial Neural Networks. Procedia Economics and Finance, 15(14), 238–246. https://doi.org/10.1016/s2212-5671(14)00492-4

Bunyamin, J. B. (2018). Agi (Artificial General Intelligence ): Peluang Indonesia Melompat Jauh Kedepan. Jurnal Sistem Cerdas, 01(02), 1–11.

Cavlak, N., & Cop, R. (2021). The role of big data in digital marketing. Advanced Digital Marketing Strategies in a Data-Driven Era, October, 16–33. https://doi.org/10.4018/978-1-7998-8003-5.ch002

Chang, A. (2020). The Role of Artificial Intelligence in Digital Health. 9(9), 71–81. https://doi.org/10.1007/978-3-030-12719-0_7

Grishikashvili, K., Dibb, S., & Meadows, M. (2014). Investigation into Big Data Impact on Digital Marketing Ketty Grishikashvili, Open University, UK S. Dibb, Open University, UK M. Meadows, Open University, UK. Online Journal of Communication and Media Technologies, October, 26–37.

Holmi, J. (2021). Artificial Intelligence in Digital Marketing Now and in the future.

iPullRank. (2017). Machine Learning for Marketers. https://assets.ctfassets.net/j5zy0n17n2ql/2D4mX8PjV6iC6i8cIuSCwk/23a4ebb99a6e9d5a82b2f03e1262f39d/ml-whitepaper.pdf

Khan, H. (2021). Types of AI | Different Types of Artificial Intelligence Systems. Ai, 1(1), 1–13.

Khatri, M. (2021). Digital Marketing and Artificial Intelligence for Evaluating Powerful Customer Experience. 6(6).

Klaus, P. (2014). Towards practical relevance — Delivering superior fi rm performance through digital customer experience strategies. 15(4), 306–316. https://doi.org/10.1057/dddmp.2014.20

Mamatha, D. (2020). Artificial Intelligence for Speech Recognition. International Journal for Research in Applied Science and Engineering Technology, 8(6), 576–578. https://doi.org/10.22214/ijraset.2020.6092

Maria Pangkey, F., Furkan, L. M., Edy Herman, L., & Agusdin. (2020). Exploring the impact of Artificial Intelligence and Digital Marketing on Intention to Use Online Transportation: a Lesson Learned from Indonesian Millenials.

Mr. M. V. Prabhakaran, et al. (2019). a .) Artificial Intelligence c .) Image and Voice Recognition. 10(03), 1035–1042.

Panda, M. et al. (2016). Digital Marketing Digital Marketing. تقرير, September, 8–31.

Pohl, J. (2015). Artificial Superintelligence: Extinction or Nirvana? Artificial Superintelligence: Extinction or Nirvana?, March, 1–19. http://www.researchgate.net/profile/Jens_Pohl/publication/281748315_Artificial_Superintelligence_Extinction_or_Nirvana/links/55f723c908aeafc8abfa21ca.pdf

Putri, P. M., & Marlien, R. . (2022). Pengaruh Digital Marketing terhadap Keputusan Pembelian Online. Jesya (Jurnal Ekonomi & Ekonomi Syariah), 5(1), 25–36. https://doi.org/10.36778/jesya.v5i1.510

Ribeiro, T. (2020). Arti fi cial Intelligence Applied to Digital Marketing. 2, 158–169.

Satria, W. (2021). Jaringan Syaraf Tiruan Backpropagation Untuk Peramalan Penjualan Produk (Studi Kasus Di Metro Electronic Dan Furniture). Djtechno: Jurnal Teknologi Informasi, 1(1), 14–19. https://doi.org/10.46576/djtechno.v1i1.966

Syahputra, R. M. (2021). Digital Marketing Strategy Through Digital Channelsin Promoting Product. Ijisrt.Com, 6(1). https://ijisrt.com/assets/upload/files/IJISRT21JAN220.pdf

Thilagavathy, N., & Praveen Kumar, E. (2021). Artificial Intelligence on digital Marketing-An overview. Volatiles & Essent. Oils, 8(5), 9895–9908.

Yadav, N., Kudale, O., Gupta, S., Rao, A., & Shitole, A. (2020). Twitter Sentiment Analysis Using Machine Learning for Product Evaluation. Proceedings of the 5th International Conference on Inventive Computation Technologies, ICICT 2020, February, 181–185. https://doi.org/10.1109/ICICT48043.2020.9112381

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Published

2023-05-30

How to Cite

Taufik, I., & Kurniawan, A. A. . (2023). The Role of Artificial Intelligence in Digital Marketing Innovation. Prosiding Seminar Nasional Ilmu Manajemen, Ekonomi, Keuangan Dan Bisnis, 2(1), 29–40. https://doi.org/10.55927/snimekb.v2i1.4602

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Articles