Generative AI in Insurance: A Guide to Enhancing Risk Assessment and Claims Management

Vemula, Anand

  • 出版商: Independently Published
  • 出版日期: 2024-06-21
  • 售價: $920
  • 貴賓價: 9.5$874
  • 語言: 英文
  • 頁數: 106
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798329053340
  • ISBN-13: 9798329053340
  • 相關分類: 人工智慧
  • 海外代購書籍(需單獨結帳)

商品描述

"Generative AI in Insurance: A Guide to Enhancing Risk Assessment and Claims Management" explores the transformative impact of generative AI technologies within the insurance industry. This comprehensive handbook delves into how AI is revolutionizing traditional practices by enabling more accurate risk assessment, personalized underwriting processes, and efficient claims management.

The book begins with foundational concepts of AI and machine learning, explaining neural networks, deep learning, and the specific applications of generative models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) in insurance. It provides real-world use cases and case studies illustrating how AI enhances fraud detection, automates claims processing, and improves customer engagement through AI-driven chatbots and virtual assistants.

Furthermore, the book explores emerging technologies such as blockchain integration for secure data management and the synergy between IoT devices and AI for real-time data analytics. It also delves into the potential of quantum computing in optimizing insurance operations.

Readers will gain insights into strategies for sustainable AI adoption, including ethical considerations and regulatory compliance. The book highlights successful implementations from leading insurers and provides practical guidance on starting with generative AI, assessing readiness, building AI strategies, and managing AI projects using agile methodologies.

"Generative AI in Insurance" is essential reading for insurance professionals, AI enthusiasts, and anyone interested in understanding how AI is reshaping the insurance landscape. It equips readers with the knowledge and tools to leverage generative AI effectively, navigate ethical challenges, and prepare for future advancements in the field.

商品描述(中文翻譯)

《保險中的生成式人工智慧:風險評估與理賠管理的增強指南》探討了生成式人工智慧技術在保險行業中的變革性影響。這本全面的手冊深入分析了人工智慧如何通過實現更準確的風險評估、個性化的承保流程和高效的理賠管理來顛覆傳統做法。

本書首先介紹了人工智慧和機器學習的基礎概念,解釋了神經網絡、深度學習,以及生成模型(如生成對抗網絡 GANs 和變分自編碼器 VAEs)在保險中的具體應用。它提供了現實世界的使用案例和案例研究,說明了人工智慧如何增強詐騙檢測、自動化理賠處理,並通過人工智慧驅動的聊天機器人和虛擬助手改善客戶互動。

此外,本書還探討了新興技術,如區塊鏈整合以實現安全數據管理,以及物聯網設備與人工智慧之間的協同作用,以進行實時數據分析。它還深入研究了量子計算在優化保險運營中的潛力。

讀者將獲得有關可持續人工智慧採用的策略見解,包括倫理考量和法規遵循。本書突顯了領先保險公司成功實施的案例,並提供了有關如何開始使用生成式人工智慧、評估準備情況、建立人工智慧策略以及使用敏捷方法管理人工智慧項目的實用指導。

《保險中的生成式人工智慧》是保險專業人士、人工智慧愛好者以及任何對了解人工智慧如何重塑保險領域感興趣的人的必讀書籍。它為讀者提供了有效利用生成式人工智慧的知識和工具,幫助他們應對倫理挑戰,並為未來在該領域的進步做好準備。