Insurance Fraud Volume Ii
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Marine Insurance Fraud
This book provides a comprehensive and coherent legal analysis of the impact of fraud on the position of various parties to a marine insurance contract, as well as the cover provided by standard marine policies. The issues under discussion in this invaluable guide are also equally relevant in the context of non-marine insurance contracts. Helpfully divided into two parts; the first part deals with the impact of fraud committed by parties to an insurance contract i.e. the assured, brokers and insurers.The second part analyses the extent to which standard marine policies cover the fraudulent and dishonest activity of third parties to an insurance contract. This book will be of huge practical assistant to practitioners specialising in marine insurance as well as insurance generally, and to professionals, academics and post-graduate students.
Tackling Insurance Fraud
Insurance fraud is a growing problem on a global scale. The ABI estimates that fraudulent insurance claims on motor and household policies alone cost insurers in excess of £1 billion every year. This book provides an analysis of the insurance industry’s response to the problem and examines fraud from legal and practical perspectives to determine how to manage and reduce fraud. Key issues covered include: fraud in the insurance and reinsurance context, a look at industry-wide initiatives and individual insurance companies’ approaches to the problem, consideration of recent legal developments and a look at how insurance fraud is tackled in other jurisdictions. Includes a chapter on marine insurance fraud.
The Digital Journey of Banking and Insurance, Volume II
This book, the second one of three volumes, gives practical examples by a number of use cases showing how to take first steps in the digital journey of banks and insurance companies. The angle shifts over the volumes from a business-driven approach in “Disruption and DNA” to a strong technical focus in “Data Storage, Processing and Analysis”, leaving “Digitalization and Machine Learning Applications” with the business and technical aspects in-between. This second volume mainly emphasizes use cases as well as the methods and technologies applied to drive digital transformation (such as processes, leveraging computational power and machine learning models).