From Data to Insights: Leveraging AI and Reciprocal Symmetry for Business Intelligence

Sai Sirisha Maddula; Mohamed Ali Shajahan; Arun Kumar Sandu

doi:10.18034/ajase.v8i1.86

Authors

Sai Sirisha Maddula Front End Developer, Nartal Systems, 2650 US-130 e, Cranbury, NJ 08512, USA
Mohamed Ali Shajahan Sr. Staff SW Engineer, Continental Automotive Systems Inc., Auburn Hills, MI 48326, USA
Arun Kumar Sandu Lead Engineer – Databases, Grab Technology, 777 108th Ave NE Unit 1900, Bellevue, WA 98004, USA

Keywords:

Data Analytics

Artificial Intelligence

Business Intelligence

Machine Learning

Predictive Modeling

Reciprocal Symmetry

Decision Support Systems

Data Visualization

Abstract

This paper examines how business intelligence (BI) uses AI and reciprocal symmetry principles to gain actionable insights from data. The goals are to study the synergy between AI and reciprocal symmetry, their use in BI, and their effects on strategic decision-making. A complete review of AI, reciprocal symmetry, BI literature, research articles, and case studies is used. Secondary data sources are aggregated and evaluated to explain essential concepts and methods in this integrated approach. Significant findings show how reciprocal symmetry-guided AI-driven analytics improves data interpretation and insight production. This integration enhances decision-making, innovation, and industry operations. Policies should address ethical issues, data privacy concerns, and legal frameworks to promote responsible AI adoption and data-driven decision-making transparency. BI can transform with AI and reciprocal symmetry to open new opportunities and gain a competitive advantage. This integrated approach emphasizes constant innovation and adaptation to maximize data potential for strategic business success.

References

Ande, J. R. P. K., & Khair, M. A. (2019). High-Performance VLSI Architectures for Artificial Intelligence and Machine Learning Applications. International Journal of Reciprocal Symmetry and Theoretical Physics, 6, 20-30. https://upright.pub/index.php/ijrstp/article/view/121

Ande, J. R. P. K., Varghese, A., Mallipeddi, S. R., Goda, D. R., & Yerram, S. R. (2017). Modeling and Simulation of Electromagnetic Interference in Power Distribution Networks: Implications for Grid Stability. Asia Pacific Journal of Energy and Environment, 4(2), 71-80. https://doi.org/10.18034/apjee.v4i2.720 DOI: https://doi.org/10.18034/apjee.v4i2.720

Arnoux, P., & Labbé, S. (2018). On Some Symmetric Multidimensional Continued Fraction Algorithms. Ergodic Theory and Dynamical Systems, 38(5), 1601-1626. https://doi.org/10.1017/etds.2016.112 DOI: https://doi.org/10.1017/etds.2016.112

Bolton, C., Machová, V., Kovacova, M., & Valaskova, K. (2018). The Power of Human-machine Collaboration: Artificial Intelligence, Business Automation, and the Smart Economy. Economics, Management and Financial Markets, 13(4), 51. https://doi.org/10.22381/EMFM13420184 DOI: https://doi.org/10.22381/EMFM13420184

Bougie, J., Gangopadhyaya, A., Mallow, J., & Rasinariu, C. (2012). Supersymmetric Quantum Mechanics and Solvable Models. Symmetry, 4(3), 452-473. https://doi.org/10.3390/sym4030452 DOI: https://doi.org/10.3390/sym4030452

Jesse, S., Chi, M., Belianinov, A., Beekman, C., Kalinin, S. V. (2016). Big Data Analytics for Scanning Transmission Electron Microscopy Ptychography. Scientific Reports, 6, 26348. https://doi.org/10.1038/srep26348 DOI: https://doi.org/10.1038/srep26348

Khair, M. A. (2018). Security-Centric Software Development: Integrating Secure Coding Practices into the Software Development Lifecycle. Technology & Management Review, 3, 12-26. https://upright.pub/index.php/tmr/article/view/124

Lau, H-K., & Clerk, A. A. (2018). Fundamental limits and non-reciprocal approaches in non-Hermitian quantum sensing. Nature Communications, 9, 1-13. https://doi.org/10.1038/s41467-018-06477-7 DOI: https://doi.org/10.1038/s41467-018-06477-7

Maddula, S. S. (2018). The Impact of AI and Reciprocal Symmetry on Organizational Culture and Leadership in the Digital Economy. Engineering International, 6(2), 201–210. https://doi.org/10.18034/ei.v6i2.703 DOI: https://doi.org/10.18034/ei.v6i2.703

Mallipeddi, S. R. (2019). Strategic Alignment of AI and Reciprocal Symmetry for Sustainable Competitive Advantage in the Digital Era. Technology & Management Review, 4, 23-35. https://upright.pub/index.php/tmr/article/view/128

Mallipeddi, S. R., Goda, D. R., Yerram, S. R., Varghese, A., & Ande, J. R. P. K. (2017). Telemedicine and Beyond: Navigating the Frontier of Medical Technology. Technology & Management Review, 2, 37-50. https://upright.pub/index.php/tmr/article/view/118

Pieperhoff, M. (2018). The Explanatory Power of Reciprocal Behavior for the Inter-organizational Exchange Context. Sustainability, 10(6), 1850. https://doi.org/10.3390/su10061850 DOI: https://doi.org/10.3390/su10061850

Sandu, A. K., Surarapu, P., Khair, M. A., & Mahadasa, R. (2018). Massive MIMO: Revolutionizing Wireless Communication through Massive Antenna Arrays and Beamforming. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 22-32. https://upright.pub/index.php/ijrstp/article/view/125

Shajahan, M. A. (2018). Fault Tolerance and Reliability in AUTOSAR Stack Development: Redundancy and Error Handling Strategies. Technology & Management Review, 3, 27-45. https://upright.pub/index.php/tmr/article/view/126

Tuli, F. A., Varghese, A., & Ande, J. R. P. K. (2018). Data-Driven Decision Making: A Framework for Integrating Workforce Analytics and Predictive HR Metrics in Digitalized Environments. Global Disclosure of Economics and Business, 7(2), 109-122. https://doi.org/10.18034/gdeb.v7i2.724 DOI: https://doi.org/10.18034/gdeb.v7i2.724

Yerram, S. R., & Varghese, A. (2018). Entrepreneurial Innovation and Export Diversification: Strategies for India’s Global Trade Expansion. American Journal of Trade and Policy, 5(3), 151–160. https://doi.org/10.18034/ajtp.v5i3.692 DOI: https://doi.org/10.18034/ajtp.v5i3.692