ISSN : 2583-2646

Integrating AWS AI for Automated Insurance Claims Processing

ESP Journal of Engineering & Technology Advancements
© 2024 by ESP JETA
Volume 4  Issue 4
Year of Publication : 2024
Authors : Harshavardhan Nerella, Praveen Borra, Mahidhar Mullapudi
:10.56472/25832646/JETA-V4I4P105

Citation:

Harshavardhan Nerella, Praveen Borra, Mahidhar Mullapudi, 2024. "Integrating AWS AI for Automated Insurance Claims Processing", ESP Journal of Engineering & Technology Advancements 4(4): 38-42.

Abstract:

Artificial Intelligence (AI) is rapidly transforming the insurance industry by enhancing the efficiency of claims processing, under writing, decision making, document process, and improving fraud detection. The public cloud providers such as Amazon Web Services (AWS) plays a pivotal role in this revolution, by offering the advanced AI and machine learning services that streamline operations and provide actionable insights. This paper investigates the innovations and applications of AWS AI in the insurance industry, focusing on how services like Amazon Bedrock, Knowledge base and agents empower insurers to automate complex processes and ensure data security and compliance. By integrating Large Language Models (LLMs) such as Anthropic or AI21 and leveraging AWS’s secure and scalable cloud infrastructure, insurance companies can deliver faster, more accurate services while maintaining customer trust. The paper explores key use cases, including automated claims processing and intelligent risk assessment, and discusses the benefits and challenges of implementing AI in insurance. As AI continues to evolve within AWS’s ecosystem, it promises to reshape the insurance landscape by offering more efficient, reliable, and customer-centric solutions.

References:

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Keywords:

Cloud Computing, AWS, Large Language Model, Artificial Intelligence, Insurance Industry.