← Back to Volume 5, Issue 3

Data Science and Artificial Intelligence: Key Forces Driving Industry Change

Qi Xue
Vol.5, No.3, pp.224-228, 2024 DOI: 10.62051/ijsspa.v5n3.29 December 26, 2024
Download PDF
Abstract: With the rapid development of digital science and artificial intelligence, the e-commerce industry is facing unprecedented opportunities and challenges. Driven by data science, the e-commerce industry is ushering in a golden period of rapid development, and its application scope is also expanding. This paper conducts in-depth research and analysis on the future application prospects of data science in the e-commerce industry, data governance and data security challenges, talent demand and training in the e-commerce industry, as well as future development trends and strategic recommendations. With the continuous progress of data science and the continuous innovation of e-commerce industry, the research on the future development and application of e-commerce industry will be more in-depth, providing solid theoretical support and practical guidance for the innovation and development of e-commerce industry. It is reasonable to believe that data science and artificial intelligence will become a powerful engine to promote the vigorous development of the e-commerce industry, but will also bring more opportunities and challenges.
Keywords: Data Science, Artificial Intelligence, Industry Change, E-Commerce
APA Citation: Qi Xue (2024). Data Science and Artificial Intelligence: Key Forces Driving Industry Change. International Journal of Social Sciences and Public Administration, 5(3), 224-228. https://doi.org/10.62051/ijsspa.v5n3.29

References

  1. Basu K, Sinha R, Ong A, et al: Artificial intelligence: How is it changing medical sciences and its future?[J]. Indian journal of dermatology, Vol. 65 (2020) No.5: 365-370.
  2. Raschka S, Patterson J, Nolet C: Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence, Information, Vol. 11 (2020) No.4: 193.
  3. Saura J R, Ribeiro-Soriano D, Palacios-Marqués D: Assessing behavioral data science privacy issues in government artificial intelligence deployment, Government Information Quarterly, Vol. 39 (2022) No.4: 101679.
  4. Bharadiya J P: A comparative study of business intelligence and artificial intelligence with big data analytics, American Journal of Artificial Intelligence, Vol. 7 (2023) No.1: 24.
  5. Jagatheesaperumal S K, Rahouti M, Ahmad K, et al: The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions, IEEE Internet of Things Journal, Vol. 9 (2021) No.15: 12861-12885.