AI in BI - A Conceptual Framework

Authors

  • Mukundh Nagarajan Freelancing BI Professional, Bangalore

DOI:

https://doi.org/10.5281/zenodo.3974597

Keywords:

Business Intelligence, Artificial Intelligence, Framework, RDBMS, Data warehouse

Abstract

Artificial Intelligence (AI) is a rapidly evolving field with numerous applications, some of which are in the domain of Business Intelligence (BI). While BI has got a good conceptual framework, the applications of AI in BI are quite fragmented and the pace of development is rapid. The AI and BI product organizations tend to focus on the benefits of their respective products. But, a conceptual framework for AI in BI which includes them in a meaningful way is still lacking. This paper aims to provide the same, along with examples from the Business Domains.

Downloads

Download data is not yet available.

References

Codd, Edgar Frank (June 1970), "A Relational Model of Data for Large Shared Data Banks", Communications of the ACM. 13 (6): 377–387.

The History of BI: The 1960s and 70s, Furhaad Shah, Dataconomy, June 2014 (https://dataconomy.com/2014/06/history-bi-1960s-70s/)

The History of BI: The 1960s and 70s, Furhaad Shah, Dataconomy, July 2014 (https://dataconomy.com/2014/07/the-history-of-bi-the-1980s-and-90s/)

Transforming Data with Intelligence, [Online]. Available: http://tdwi.org

AI: The New BI, How Algorithms Are Transforming Business Intelligence and Analytics By Julian Ereth and Wayne Eckerson, October 2018

Downloads

Published

2020-08-05

How to Cite

[1]
M. Nagarajan, “AI in BI - A Conceptual Framework”, pices, vol. 4, no. 4, pp. 69-72, Aug. 2020.

URN