This story was originally published on HackerNoon at: https://hackernoon.com/building-secure-data-pipelines-for-insurance-ai-insights-from-balaji-adusupallis-research.
Balaji Adusupalli proposes secure, privacy-preserving AI pipelines for insurance using federated learning, encryption, and ethical data practices.
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Balaji Adusupalli introduces a secure AI data pipeline framework for insurance, enabling federated learning while preserving privacy, compliance, and model performance. His Federated Insurance Data Engineering Pipeline (FIDEP) uses encryption, anonymization, and secure computation to drive responsible AI adoption across auto, health, and home insurance sectors.