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• Explainable AI (XAI) in Cloud-Native Financial Services: Building Trust and Transparency in Modernized Decision Engines

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• AI-Driven Threat Intelligence: Evaluating Machine Learning for Real-Time Cyber Threat Sharing Among U.S. National Security Agencies

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• Ensuring Ethical and Responsible Use of Artificial Intelligence

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• Automated Usage Pattern Analyzer: A Technical Review of Predictive Insights and Anomaly Detection Powered by AI

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• Architectural Strategies for Platform Modernization in Regulated Financial Services: A Compliance-First Framework

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• Machine Learning in Business Analytics: Advancing Statistical Methods for Data-Driven Innovation

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• Explainable AI in DevOps: Architectural Patterns for Transparent Autonomous Pipelines

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• AI in Finance: Fighting Fraud with Cloud-Powered Compliance

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• Ethical Dimensions of AutoML: Addressing Bias, Transparency, and Responsible Development

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• Training Generative AI to Ingest Logs and Detect Anomalies in Large-Scale Applications

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• AI-Driven Behavioral Risk Profiling in Digital Lending Platforms: A Cross-Disciplinary Framework for Dynamic Risk Assessment

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• The Societal Impact of Intelligent Automation in Financial Services

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• AI in Smart Grid Cybersecurity: A Systematic Review of Machine Learning and Deep Learning Approaches against False Data Injection and Other Emerging Attacks

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• Leveraging Machine Learning for Anomaly Detection in Telecom Network Management

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• AI-Augmented Decision-Making in Credit Risk Assessment: A Collaborative Framework for Enhanced Financial Services

  Ram Mohan Reddy Pothula

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• Generative AI in Healthcare Claims Processing and Fraud Detection: Transforming Insurance Workflows

  Amala Arul Malar Umakanth

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• Human-in-the-Loop AI in Financial Services: Data Engineering That Enables Judgment at Scale

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• The Ethical Dimensions of AI in Financial Decision-Making: Balancing Innovation and Equity

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  2025-05-30