Innovation strategies in data analytics a pathway to enhanced decision making through ai and ml

Authors

  • Niraj Kumar Verma ,Phanidhar Chilakapati

Keywords:

Innovation Strategies, Data Analytics, Artificial Intelligence (AI), Machine Learning (ML), Decision-Making, Predictive Analytics, Data Governance, Sustainable Growth.

Abstract

Technological approaches towards innovation in the field of data analytics employing AI and ML are steering up the continents of decision-making. Analyzing these technologies, it is possible to identify the increase in data volumes, variety, and velocity that these tools help to address, producing insights previously unavailable to organizations. In this paper, the next frontier of radical scholarship is discussed by identifying how new techniques exist in data analysis can improve on decision making through use of AI and machine learning.

References

Chen, C. L., & Zhang, C. Y. (2020). Data-intensive applications, challenges, techniques, and technologies: A survey on Big Data. Information Sciences, 275, 314347.

Chui, M., Manyika, J., & Miremadi, M. (2018). What AI can and cannot do (yet) for your business. McKinsey Quarterly.

Domingos, P. (2012). A few useful things to know about machine learning. Communications of the ACM, 55(10), 78-87.

Floridi, L., et al. (2018). AI4People—An ethical framework for a good AI society. Minds and Machines, 28(4), 689-707.

Goodfellow, I., et al. (2016). Deep learning. MIT Press.

Downloads

Published

2023-09-11

How to Cite

Niraj Kumar Verma ,Phanidhar Chilakapati. (2023). Innovation strategies in data analytics a pathway to enhanced decision making through ai and ml . Journal of Computational Analysis and Applications (JoCAAA), 31(3), 483–499. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1810

Issue

Section

Articles