Data Alchemy in Insurance.

Format:

Book

Author/Creator:

Taneja, Sanjay.

Contributor:

Özen, Ercan.

Vardar, Luan.

Language:

English

Subjects (All):

Big data.

Predictive analytics.

Physical Description:

1 online resource (296 pages)

Edition:

1st ed.

Place of Publication:

Sharjah : Bentham Science Publishers, 2025.

Summary:

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.

Contents:

Intro

Title

Copyright

End User License Agreement

Contents

Foreword

Preface

List of Contributors

A Machine Learning Algorithm for Forecasting Customer Churn in the Motor Insurance Industry

Reepu1, Sanjay Taneja2,3,* and Zelhuda Shamsuddin3

INTRODUCTION

Research Challenges

Research Aim

Objectives of the Study

Review of Literature

Data Reprocessing

Dataset Description

Algo

RESULTS AND DISCUSSION

CONCLUSION

REFERENCES

Ai-Powered Data Analytics for Customer-Centric Insurance Experience

Vijay Prakash Gupta1 and Mohammad Kashif 2,*

EVOLUTION OF AI AND DATA ANALYTICS IN INSURANCE

The Transition from Traditional to Advanced Systems

Innovations for Profitability

Beginning of Online Sales of Insurance Policy

Integration of Digital Technology

Important Change Agents

Sustained Evolution

NEED FOR DIGITAL TRANSFORMATION IN THE INSURANCE INDUSTRY

TRANSFORMATIVE IMPACTS IN KEY AREAS IN THE INSURANCE INDUSTRY

Risk Assessment and Underwriting

Claims Management and Fraud Detection

Personalized Customer Experiences

Fraud Prevention and Risk Mitigation

OBJECTIVES AND SIGNIFICANCE OF AI-POWERED DATA ANALYTICS IN CUSTOMER-CENTRIC INSURANCE.

OBJECTIVES

SIGNIFICANCE OF AI-POWERED DATA ANALYTICS

IMPLICATIONS OF AI AND DATA ANALYTICS IN THE INSURANCE SECTOR

TECHNOLOGICAL INTEGRATION IN THE INSURANCE INDUSTRY

TECHNOLOGY REVOLUTIONIZING CUSTOMER SERVICE IN INSURANCE

ROLE OF TECHNOLOGY TO IMPROVED SPEED IN INSURANCE PROCESSES

Streamlined Policy Creation

Data-driven Underwriting

Intelligent Policy Administration

Efficient Policy Documentation

Real-time Policy Changes

Personalized Customer Engagement

Automated Renewals and Notifications

Claims Processing Efficiency

Enhanced Compliance and Reporting.

CUSTOMER-CENTRIC APPROACH IN INSURANCE SERVICES

Customer-Centric Evolution in Insurance

Digital Transformation in the Insurance Industry

THE IMPACT OF DIGITAL TRANSFORMATION ON THE INSURANCE INDUSTRY

AI AND DATA ANALYTICS IMPACT ON INSURANCE

Implications of AI and Data Analytics in the Insurance Sector

The Dawn of Automated Health Guardianship: Robo Advisors in Insurance Planning

Jaspreet Kaur1, Sanjay Taneja2,* and Mohit Kukreti3

THE DEVELOPMENT OF ROBOTIC ADVISORS IN THE MEDICAL INDUSTRY

THE CAPABILITIES AND WORKINGS OF ROBOTIC ADVISORS

THE INFLUENCE OF ARTIFICIALLY INTELLIGENT ADVISORS ON INSURANCE DECISION-MAKING

The Provision of Access and the Spread of Information

Personalized Content and Specifically Catered Suggestions

Data Analysis and Insights into Possible Futures

Efforts Made to Simplify the Decision-Making Process

Empowerment of Users and Engagement of Users

Enhancing the Expertise of Humans Instead of Trying to Replace Them

Conquering Obstacles While Building Trust in One Another

THE PROSPECTIVE PATHWAY AND ITS POTENTIAL IMPACT

ETHICAL CONCERNS AS WELL AS REGULATORY HURDLES INVOLVED WITH THE USE OF ROBOT ADVISORS IN THE INSURANCE PLANNING PROCESS

Privacy and Protection of Sensitive Data

The Problem with Algorithmic Fairness and Its Solutions

Transparency as well as an Ability to Explain

Compliance with Regulations and the Establishment of Legal Frameworks

Oversight and Accountability Provided by Humans

ADDRESSING THE CONCERNS ABOUT ETHICS AND DIFFICULTIES IN MEETING REGULATORY REQUIREMENTS

Approach Called "Ethics by Design"

Transparency and Explainability

Conducting Regular Audits and Attempting to Reduce Biases

Regulatory Compliance Frameworks.

COLLABORATION BETWEEN HUMANS AND ALGORITHMS IN THE PROCESS OF INSURANCE PLANNING

Processing and Evaluation of Data are the Purview of lgorithms

Judgment and Ethical Considerations in Regards to Humans

Individualization and Pinpoint Accuracy

Ethical Considerations, as well as an Understanding of the Context

Trust and a Better Overall Experience for Users

CASES AND SCENARIOS FOR THEIR APPLICATION

Advisory Services that Make Use of Algorithms to Complement Them

Making Moral Determinations Amidst Difficult Circumstances

Continual Accumulation of Knowledge and Progress

THE OBSTACLES FACING AND HOW WE PLAN TO OVERCOME THEM

Both Trust and Openness are Essential

Compliance with Regulations and the Establishment of Ethical Frameworks

The Prospective Pathway and Its Potential Impact

Assistance Powered by Advanced AI

The Development of Ethical AI

Giving Users and Professionals the Ability to Do More

THE PATH THAT WILL BE TAKEN IN THE NEAR FUTURE BY AUTOMATED HEALTH GUARDIANSHIP

Make the Transition to Personalized and Preventive Healthcare

Continuous Monitoring and Detection at an Early Stage

Management and Interventions of One's Health That Are Proactive

The Use of Artificial Intelligence in Telemedicine and Remote Care

Decision Support Powered by AI for Professionals Working in the Healthcare Industry

CHANGING THE WAY WE THINK ABOUT HEALTHCARE WHILE EMPOWERING INDIVIDUALS

INTEGRATION OF ARTIFICIAL INTELLIGENCE AND PROFESSIONALS WORKING IN HEALTHCARE

CONCLUDING REMARKS

Rise of Robo Advising in Insurance

Prayank Sharma1 and Manish Singh1,*

Digitalization of Insurance

Indian Insurance Industry: Structure

Market Size

INSURE TECH

ROBO ADVISING MEANING.

Working Methodology of ROBO Advisors

Types of ROBO Advisory

Automated Investments

Direct Plan Based

Goal-Based Advisory

Full Service

Robo Advisory Models

Companies Working on Distribution Innovation Model

Technology Innovation

Companies Working on Technology Innovation Model

Benefits of ROBO Advisors

Challenges of ROBO Advisors

Future of Robo Advisors

Assessment of Key Drivers for Selecting Sustainable Health Insurance Schemes: Using the BWM Approach

Vijay Lahri1,*, Mohd Amir2 and Abdullah Malik3

LITERATURE REVIEW

MODEL DEVELOPMENT

METHODOLOGY

Proposed Hybrid Solution Approach

CONCLUSION AND FUTURE RESEARCH

APPENDIX: A

The Future of Data Analytics in Insurance: A Comprehensive Exploration

Varnesh Ghildiyal1,*, Supriya Hazra2 and Muskan Singh3

Evolution of Analytics in Insurance

Impact on Risk Management

Fraud Detection and Claims Processing

Personalized Pricing and Customer Engagement

Ethical and Regulatory Considerations

Literature Review and Data Collection

Identification of Key Themes

Synthesis and Analysis

Case Study Examination

Technological Trends Exploration

Ethical and Regulatory Landscape Review

Conclusion and Future Trajectory Synthesis

THE FUTURE LANDSCAPE

Predictive Modeling and Artificial Intelligence

Real-time Data Processing

Integration of Telematics and IoT Devices

Blockchain Technology for Secure Data Sharing

Ethical Implications of AI-driven Decision-making

Holistic Customer Experience

Regulatory and Compliance Challenges

CHALLENGES AND OPPORTUNITIES

Challenges

Opportunities

Growth of Life Insurance in India.

Ritik Joshi1, Abhishek Singh Chauhan2, Mandeep Singh3, Pawan Kumar2,* and Mukul Bhatnagar2

Market Size of Indian Insurance Sector

India's Insurance Sector: Investments and Recent Developments

Initiatives Taken by Indian Government

Literature Review

RESEARCH METHODOLOGY

DATA ANALYSIS AND INTERPRETATION

Beyond the Horizon: Exploring the Future of Data Analytics in Insurance

Nikita Singhal1,*, Shikha Goyal2 and Pooja Sharma2

THE TRANSFORMATIVE LANDSCAPE OF ADVANCED DATA ANALYTICS IN INSURANCE

Technological Synergies

Human Element in Data Analytics

Diversity and Inclusion in Data Analytics

Regulatory Dynamics in a Data-Driven Future

Data Security and Privacy in the Digital Age

Environmental, Social, and Governance (ESG) Considerations

Collaboration and Partnerships

TECHNOLOGICAL FRONTIERS IN INSURANCE ANALYTICS

Predictive Analytics

Quantum Leap in Predictive Modelling

Integration of Artificial Intelligence

Quantum Computing and Advanced Analytics

Blockchain and Decentralized Insurance

Peer-to-Peer Insurance

Parametric Insurance

Tokenization of Policies

Internet of Things (IoT) and Real-time Risk Monitoring

Proliferation of IoT Devices

Telematics and Usage-Based Insurance

HARNESSING DATA ANALYTICS IN INSURANCE OPERATIONS

Claims Processing and Fraud Detection

Customer Relationship Management (CRM)

Pricing Optimization and Product Development

Operational Efficiency and Cost Management

Regulatory Compliance and Reporting

Actuarial Modeling and Financial Forecasting

Cybersecurity and Risk Mitigation

CHALLENGES IN THE ADOPTION OF DATA ANALYTICS IN THE INSURANCE INDUSTRY

Data Security Concerns

Talent and Skill Gap

Integration with Legacy Systems.

Regulatory Dynamics.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

981-5313-83-5

OCLC:

1528360427