A Cloud-Native AI and LLM Platform for Secure Banking and Digital Ad Auctions with Quantum-Driven Predictive Business Analytics
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Abstract
The integration of cloud computing, artificial intelligence (AI), and large language models (LLMs) is reshaping digital financial services and data-driven business ecosystems. Modern banking platforms and digital advertising markets require secure, scalable, and intelligent infrastructures capable of processing high-volume transactions and real-time customer data. At the same time, predictive business analytics and quantum-inspired machine learning techniques are emerging as powerful tools for forecasting, optimization, and decision automation. This paper presents a cloud-native AI and LLM platform designed to support secure banking operations and auction-based digital ad delivery while enabling quantum-driven predictive business analytics
The proposed framework integrates cloud-native microservices, secure data pipelines, vector databases, and LLM-driven analytics with a scalable infrastructure that supports real-time processing and collaborative automation. A multi-layered security architecture incorporating encryption, zero-trust access control, identity management, and continuous monitoring ensures the protection of financial and advertising data across distributed cloud environments. The platform includes predictive analytics modules that leverage AI and quantum-inspired learning techniques to forecast customer behavior, optimize ad auctions, and enhance financial decision-making
Experimental evaluation using simulated financial transaction and digital advertising datasets demonstrates improved anomaly detection accuracy, efficient ad allocation strategies, and enhanced system responsiveness in cloud-based web applications. The integration of AI-driven predictive analytics with secure cloud infrastructure enables faster decision-making and improved operational resilience. Results indicate that combining LLM intelligence, scalable data models, and cloud-native security controls can enhance both financial service delivery and business analytics performance. The proposed platform provides a unified approach for organizations seeking to deploy secure, intelligent, and scalable digital banking and advertising systems
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