AI in High-tech: Predictive Analytics and Customer 360

The integration of predictive analytics with Customer 360 platforms marks a transformative shift in how high-tech enterprises understand and engage with their customers. This technological convergence enables organizations to harness real-time customer insights, automate decision-making processes, and deliver highly personalized experiences across multiple interaction channels. By leveraging advanced machine learning algorithms and sophisticated data processing capabilities, businesses can now predict customer behavior, optimize retention strategies, and enhance service delivery with unprecedented precision. The implementation of AI-driven solutions has revolutionized traditional customer relationship management, introducing automated risk assessment, intelligent market segmentation, and proactive support systems. Through the synthesis of edge computing, federated learning, and quantum computing capabilities, organizations can process vast amounts of customer data while maintaining privacy and compliance standards. The emergence of next-generation customer engagement hubs, coupled with sophisticated analytics frameworks, has established a new paradigm in customer intelligence, enabling businesses to remain competitive in an increasingly digital marketplace.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-02-10
DOI
https://doi.org/10.32628/cseit251112224
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
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article

AI in High-tech: Predictive Analytics and Customer 360

Arthi Rengasamy
1 citations
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Big Data and Business Intelligence
2.28
article

AI in High-tech: Predictive Analytics and Customer 360

Arthi Rengasamy
article en
1 citations

Abstract

The integration of predictive analytics with Customer 360 platforms marks a transformative shift in how high-tech enterprises understand and engage with their customers. This technological convergence enables organizations to harness real-time customer insights, automate decision-making processes, and deliver highly personalized experiences across multiple interaction channels. By leveraging advanced machine learning algorithms and sophisticated data processing capabilities, businesses can now predict customer behavior, optimize retention strategies, and enhance service delivery with unprecedented precision. The implementation of AI-driven solutions has revolutionized traditional customer relationship management, introducing automated risk assessment, intelligent market segmentation, and proactive support systems. Through the synthesis of edge computing, federated learning, and quantum computing capabilities, organizations can process vast amounts of customer data while maintaining privacy and compliance standards. The emergence of next-generation customer engagement hubs, coupled with sophisticated analytics frameworks, has established a new paradigm in customer intelligence, enabling businesses to remain competitive in an increasingly digital marketplace.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(1)
Film Independent (US)
Openalex Percentile: Top 15%
Big Data and Business Intelligence
2.28
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AI in High-tech: Predictive Analytics and Customer 360 — Arthi Rengasamy · International Journal of Scientific Research in Computer Science Engineering and Information Technology (2025) | TGRS Research Map | TGRS