Harnessing Data Science For Sustainable Insurance
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Harnessing Data Science for Sustainable Insurance
In this era of climate volatility and economic uncertainty, the insurance industry is turning towards data science for driving sustainability. By using advanced analytics and machine learning, insurers can assess risks and optimize pricing for the better. Harnessing data science for sustainable insurance enables the sector to not only enhance operational efficiency and profitability, but also support environmental, social, and governance (ESG) goals. Harnessing Data Science for Sustainable Insurance explores the sustainable use of data in the insurance industry. This book navigates the evolving landscape of data-driven strategies, unveiling the potential to enhance the insurance industry and engage consumers in unprecedented ways. Covering topics such as data analytics, applications, and sustainability, this book is an excellent resource for practitioners, researchers, academicians, and more.
Harnessing Data Science for Sustainable Agriculture and Natural Resource Management
This book is a comprehensive resource that handles the issues of sustainable agriculture and natural resource management, aligned with the United Nations' Sustainable Development Goals (SDGs). The book is organized into five sections, Understanding the Problem, Data Collection and Cleaning, Exploratory Data Analysis and Visualization, Model Building, and Model Deployment. Each section covers a critical aspect of data science in this context and addresses specific SDGs 2—zero hunger, 6—clean water and sanitation, 12—responsible consumption and production, 13—climate action, and 15—Life on land. The organized sections are arranged to seamlessly follow the data science pipeline and provide practical guidance from problem understanding to its model deployment and stakeholder management. The book is useful for researchers, students, practitioners, and policymakers.
Data Alchemy in Insurance: Revolutionizing the Insurance Industry through Big Data Analytics
Author: Sanjay Taneja, Ercan Ozen, Luan Vardar, Mohit Kukreti, Mohammad Kashif
language: en
Publisher: Bentham Science Publishers
Release Date: 2025-06-24
Data Alchemy in Insurance: Revolutionizing the Insurance Industry through Big Data Analytics discusses cutting-edge technologies like machine learning and AI, transforming insurance into a dynamic, customer-centric industry. Spanning fifteen chapters, topics range from predictive analytics for customer retention to ethical dilemmas in data usage. Learn how big data enhances risk assessment, underwriting, and customer engagement, fostering innovation and operational efficiency. Insights into robo-advisors, automation, and sustainable insurance models provide a comprehensive view of industry advancements. Key Features: - The Data-Driven Renaissance: Innovate and grow strategically with big data. - Customer-Centric Transformation: Personalize engagement and satisfaction. - Operational Efficiency: Optimize claims, detect fraud, and assess risk effectively.