IJBTT

Comparative Analysis of Artificial Intelligence (GenAI) in Business Intelligence Platforms
	© 2024 by IJCTT Journal
	Volume-72 Issue-4
	Year of Publication : 2024
	Authors : Aqsa Salim Fulara
	DOI :  10.14445/22312803/IJCTT-V72I4P112

How to Cite?

Aqsa Salim Fulara, "Comparative Analysis of Artificial Intelligence (GenAI) in Business Intelligence Platforms," International Journal of Computer Trends and Technology, vol. 72, no. 4, pp. 95-101, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I4P112

Abstract
This study presents a comprehensive comparative analysis of artificial intelligence (AI) capabilities and their applications in business intelligence (BI) platforms. The rapid advancement of generative AI, particularly large language models, has opened new frontiers for data-driven decision-making and insights generation. However, the integration of these cutting-edge technologies into BI platforms remains largely unexplored in academia.
The research employs a mixed-methods approach, like qualitative evaluation of user experiences, the feature themes, their availability in key platforms and integration with other platforms. The findings reveal significant variations in the approach taken by different BI tools for similar generative AI tasks. Certain platforms focus on integrating AI with the rest of their ecosystem tools, providing a unified enterprise experience with data and insights, while others focus on capabilities in data discovery and curation experiences. Importantly, the study highlights the synergistic potential of combining multiple generative AI capabilities and opportunities for startups and enterprises to innovate in the BI space.
This research contributes to the field by providing a comprehensive framework for evaluating and integrating AI in BI platforms, enabling more informed decision-making and driving innovation in data-driven business practices. The implications extend to various industries, paving the way for enhanced competitive advantages through the adoption of cutting-edge AI technologies.

Keywords
Artificial intelligence, Business intelligence, Data insights, Machine learning, Visualizations.

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