International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 4
October-December 2025
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Next-Gen Business Intelligence in Financial Services- Transforming Financial Efficiency with AI-Driven BI, Integration of AI/ML with BI tools
| Author(s) | Mani Kanta Pothuri |
|---|---|
| Country | United States |
| Abstract | Finance and banking domain heavily depends on data. These are motivated by sophisticated algorithms and learning logic as well as natural language processing components. Data analysis is performed in this view for high level process automation and effective decisions these empower in personalizing account holder interactions in service management of financial pursuits. Customer service automation using chatbots, process streamlining in complicated scenarios, portfolio management, analyzing market risk, etc. are several areas that are empowered with AI/ML tools. Combining AI/ML with business intelligence is next level of data analytics that allows mimicking cognitive intellect and reasoning for making systems learn and improve processes for generating reliable information. The paper explores about implementing next generation intelligence in collaboration of AI.ML with BI for conducting banking and finance operations in compliance with regulatory guidelines. |
| Keywords | Algorithms, Customer service automation, AI/ML, BI, Next generation intelligence, compliance |
| Field | Engineering |
| Published In | Volume 16, Issue 4, October-December 2025 |
| Published On | 2025-11-23 |
| DOI | https://doi.org/10.71097/IJSAT.v16.i4.9536 |
| Short DOI | https://doi.org/hbb8gd |
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IJSAT DOI prefix is
10.71097/IJSAT
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