Abstract
The objective of this chapter is to discuss the integration of advancements made in the field of artificial intelligence into the existing business intelligence tools. Specifically, it discusses how the business intelligence tool can integrate time series analysis, supervised and unsupervised machine learning techniques and natural language processing in it and unlock deeper insights, make predictions, and execute strategic business action from within the tool itself. This chapter also provides a high-level overview of current state of the art AI techniques and provides examples in the realm of business intelligence. The eventual goal of this chapter is to leave readers thinking about what the future of business intelligence would look like and how enterprise can benefit by integrating AI in it.
| Original language | English |
|---|---|
| Title of host publication | Research Anthology on Artificial Intelligence Applications in Security |
| Publisher | IGI Global |
| Pages | 339-357 |
| Number of pages | 19 |
| Volume | 1-4 |
| ISBN (Electronic) | 9781799877486 |
| ISBN (Print) | 9781799877059 |
| DOIs | |
| Publication status | Published - 27 Nov 2020 |
| Externally published | Yes |