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Application of Artificial Intelligence to Enhance Business Intelligence for Increasing Customer Involvement in FMCG Industry
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Author(s): P. S. Venkateswaran (PSNA College of Engineering and Technology, India), S. Manimaran (PSNA College of Engineering and Technology, India), M. Sriramkumar (PSNA College of Engineering and Technology, India), Latha Thamma Reddi (DXC Technology, USA), Sandeep Rangineni (Pluto TV, USA)and Divya Marupaka (Unikon IT Inc., USA)
Copyright: 2024
Pages: 15
Source title:
Cross-Industry AI Applications
Source Author(s)/Editor(s): P. Paramasivan (Dhaanish Ahmed College of Engineering, India), S. Suman Rajest (Dhaanish Ahmed College of Engineering, India), Karthikeyan Chinnusamy (Veritas, USA), R. Regin (SRM Instıtute of Science and Technology, India)and Ferdin Joe John Joseph (Thai-Nichi Institute of Technology, Thailand)
DOI: 10.4018/979-8-3693-5951-8.ch003
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Abstract
Artificial intelligence (AI) has emerged as a transformative force across various industries, revolutionising how we live, work, and interact with technology. Its impact is profound, and its applications are multifaceted, garnering a spectrum of reviews – from enthusiastic acclaim to cautious apprehension. One of AI's most lauded strengths is its ability to enhance efficiency and productivity. In the business world, AI streamlines processes and tasks and delivers data-driven insights, thereby reducing operational costs and improving decision-making. The applications of AI in data analysis and predictive modelling have garnered widespread praise. From financial institutions using AI to detect fraudulent transactions to healthcare organisations utilising it for early disease diagnosis, the capacity of AI to process vast amounts of data quickly and accurately is undeniable. The reviews here are glowing, emphasising AI's ability to save time, reduce errors, and improve the quality of outcomes.
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