AI-Powered Advanced Analytics: Transforming Data into Strategic Insights
This scholarly article explores the transformative impact of artificial intelligence on advanced analytics across various business domains. The article examines how AI-powered analytics has evolved from descriptive approaches to predictive and prescriptive capabilities, enabling organizations to extract unprecedented value from data. Through a comprehensive analysis of research findings, the article investigates four key areas: the evolution of machine learning in business intelligence, predictive analytics for forecasting business outcomes, natural language processing for unstructured data analysis, and deep learning applications in complex analytics scenarios. Each section provides detailed insights into implementation approaches, performance improvements, and business value creation across industries, including finance, healthcare, manufacturing, and retail. The article demonstrates how these technologies are fundamentally reshaping organizational decision-making processes, operational efficiency, customer experience, and competitive positioning in the digital economy.
Institutions
- Amgen (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-16
- DOI
- https://doi.org/10.5281/zenodo.16886856
- Primary Topic
- Computational Physics and Python Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00