Transitioning from Traditional Business Intelligence to Artificial Intelligence: Insights from Healthcare, Hospitality, E- commerce and Finance Industries

Author(s)	Hari Prasad Bomma
Country	United States
Abstract	Organizations are constantly seeking innovative ways to gain a competitive edge and enhance their decision-making processes. Traditionally, business intelligence methods have been the go-to approach, relying on structured data and analytical techniques to uncover insights. This research paper explores the transition from traditional business intelligence to artificial intelligence methods across diverse industries, including healthcare, hospitality, e-commerce, and finance. The paper looks into the specific challenges and opportunities that each sector faces, and examines how the integration of AI-powered solutions is transforming the way these industries operate.
Keywords	Business Intelligence (BI), Artificial Intelligence (AI), Data Warehousing, Static Reporting, Data Integration, Interactive Dashboards, Advanced Analytics, Predictive Modeling, Natural Language Processing (NLP)
Field	Engineering
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-03
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.41895
Short DOI	https://doi.org/g9fmxs

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