avinashreddyaitha.hashnode.devAutonomous Claim-Screening Agents for Insurance Fraud PreventionAbstract Insurance fraud represents a significant and persistent challenge for insurers worldwide, resulting in billions of dollars in losses annually and contributing to increased premiums for honest policyholders. Traditional fraud detection approa...Dec 19, 2025·4 min read
avinashreddyaitha.hashnode.devAgentic AI Workflows for Real-Time Insurance Fraud DetectionInsurance fraud is a persistent global issue, costing insurers billions annually and driving up premiums for consumers. Traditional fraud detection systems—typically rule-based engines or static machine learning models—struggle to keep pace with incr...Dec 10, 2025·5 min read
avinashreddyaitha.hashnode.devAutonomous Model Agents for Elastic Deep Learning Environments1. Introduction As deep learning systems scale in complexity, data volume, and deployment diversity, managing training and inference pipelines has become increasingly resource-intensive. Traditional static resource allocation strategies often struggl...Dec 6, 2025·4 min read
avinashreddyaitha.hashnode.devUnifying Data Engineering and AI Automation in Cloud-Native InfrastructuresThe rapid evolution of artificial intelligence (AI) and machine learning (ML) has intensified the demand for scalable, reliable, and automated data workflows. At the same time, enterprises are shifting toward cloud-native infrastructures—architecture...Nov 27, 2025·5 min read
avinashreddyaitha.hashnode.devAgentic AI in Fraud Prevention: Toward Proactive Insurance IntelligenceFraud continues to be one of the most persistent and costly challenges in the insurance sector. Traditional fraud detection methods—such as rule-based systems, retrospective audits, and manual reviews—are increasingly inadequate as fraud schemes grow...Nov 17, 2025·5 min read
