AI-based Strategic Marketing: SMAI Model

• Autorzy: Cherukuri Praneet Amul Akash , Vududala Sai Kiran , Saraswathi Nishanth Raju , Sanda Jahanavi

Identyfikatory

DOI

10.15439/2020KM2

• Konferencja: International Conference on Research in Management & Technovation (05-06.12.2020 ; Nagpur, Indie)
• Języki publikacji: EN

Abstrakty

EN

One of the important factors that play a vital role in the success of a business is marketing. Marketing has seen multiple changes throughout the decades in the Definition, Organization, and Implementation processes. With the advent of technology, especially Artificial intelligence many sectors underwent a great amount of transformation to get themselves equipped with the latest technological innovations. The business sector was also on the same lines with other sectors in this period of change. Marketing being a very theoretical and humanized concept it was pretty hard at first to incorporate changes accordingly. Later the scope for marketing enlarged and it slowly started making an entrance into inculcating the latest technologies. In this paper, the researcher studies the particularities of marketing and its integration with artificial intelligence, providently proposing a machine learning-based model (SMAI) involving strategic marketing decision making.

Słowa kluczowe

EN

artificial intelligence; marketing; business; strategic marketing; machine learning

PL

sztuczna inteligencja; marketing; biznes; marketing strategiczny; nauczanie maszynowe

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2020
• Tom: Vol. 24
• Strony: 95--98
• Opis fizyczny: Bibliogr. 7 poz., rys., wykr.

Twórcy

autor

Cherukuri Praneet Amul Akash

• Dept. of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

autor

Vududala Sai Kiran

• Dept. of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

autor

Saraswathi Nishanth Raju

• Dept. of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

autor

Sanda Jahanavi

• Dept. of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

Bibliografia

• 1. Jarek, Krystyna & Mazurek, Grzegorz. (2019). Marketing and Artificial Intelligence. Central European Business Review. 8. 46-55. 10.18267/j.cebr.213.
• 2. 4 Ways Predictive Analytics Can Boost Your Sales. (2019, February 21). Retrieved from https://www.aberdeen.com/big-datapro-essentials/4-ways-predictive-analytics-can-boost-sales/
• 3. Cherukuri, Praneet Amul Akash. (2019). Recommender System For Educational Analysis In Prediction of Appropriate Career & Domain Recommendations using Machine Learning Techniques. International Journal of Machine Learning and Networked Collaborative Engineering. 03. 135-142. 10.30991/IJMLNCE.2019v03i03.002.
• 4. JPMorgan Chase Announces Five-Year Deal with Persado For AI-Powered Marketing Capabilities. (2019, July 29). Retrieved October 10, 2020, from https://www.persado.com/press-releases/jpmorgan-chase-announces-five-year-deal-with-persado-for-ai-powered-marketing-capabilities/
• 5. New Live-Design Experience Promises Custom Shoes in Less Than 90 Minutes. (2017, September 05). Retrieved October 10, 2020, from https://news.nike.com/news/nike-makers-studio
• 6. Davenport, T., Guha, A., Grewal, D. et al. How artificial intelligence will change the future of marketing. J. of the Acad. Mark. Sci. 48, 24–42 (2020). https://doi.org/10.1007/s11747-019-00696-0
• 7. Singh, R., Anita, G., Capoor, S., Rana, G., Sharma, R., & Agarwal, S. (2019). Internet of Things Enabled Robot Based Smart Room Automation and Localization System. In Internet of Things and Big Data Analytics for Smart Generation (pp. 105-133). Springer, Cham. ISBN 978-3-030-04203-5

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).