Big Data Analytics In The Insurance Market
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Big Data Analytics In The Insurance Market
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Author : Kiran Sood
language : en
Publisher: Emerald Group Publishing
Release Date : 2022-07-18
Big Data Analytics In The Insurance Market written by Kiran Sood and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Business & Economics categories.
Big Data Analytics in the Insurance Market is an industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. A must for people seeking to broaden their knowledge of big data concepts and their real-world applications, particularly in the field of insurance.
Analytics For Insurance
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Author : Tony Boobier
language : en
Publisher: John Wiley & Sons
Release Date : 2016-10-10
Analytics For Insurance written by Tony Boobier and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-10 with Business & Economics categories.
The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential – yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy. Understand what Big Data is and what it can do Delve into Big Data's specific impact on the insurance industry Learn how advanced analytics can revolutionise the industry Bring Big Data out of IT and into strategy, management, marketing, and more Big Data and analytics is changing business – but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data – but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets.
Data Alchemy In The Insurance Industry
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Author : Sanjay Taneja
language : en
Publisher: Emerald Group Publishing
Release Date : 2024-11-21
Data Alchemy In The Insurance Industry written by Sanjay Taneja and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-21 with Business & Economics categories.
This collected edition provides a comprehensive and practical roadmap for insurers, data scientists, technologists, and insurance enthusiasts alike, to navigate the data-driven revolution that is sweeping the insurance landscape.
Data Profiling And Insurance Law
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Author : Brendan McGurk
language : en
Publisher: Bloomsbury Publishing
Release Date : 2019-04-04
Data Profiling And Insurance Law written by Brendan McGurk and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-04 with Computers categories.
"This timely, expertly written monograph looks at the legal impact that the use of 'Big Data' will have on the provision - and substantive law of - insurance. Insurance companies are some of the biggest consumers of Big Data profiling and are increasingly using that data in deciding whether to offer cover to individual potential insureds or not.More particularly, the book explores how insurers (i) gain access to information relevant to assessing risk and/or the pricing of premium; (ii) the impact which that increased information will have on substantive insurance law (and in particular duties of good faith disclosure and fair presentation of risk); and (iii) the impact that insurers' new knowledge may have on individual or group access to insurance and the legal means by which the refusal of cover might be challenged.Written by a top expert in the field, this book will both stimulate further debate and operate as a reference text for academics and practitioners who are faced with emerging legal problems arising from the increasing opportunities which Big Data offers to business"--
Big Data Analytics Systems Algorithms Applications
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Author : C.S.R. Prabhu
language : en
Publisher: Springer Nature
Release Date : 2019-10-14
Big Data Analytics Systems Algorithms Applications written by C.S.R. Prabhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-14 with Computers categories.
This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy. With regard to machine learning techniques, the book presents all the standard algorithms for learning – including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered. In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition. Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike.
Data Alchemy In Insurance Revolutionizing The Insurance Industry Through Big Data Analytics
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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 written by Sanjay Taneja, Ercan Ozen, Luan Vardar, Mohit Kukreti, Mohammad Kashif and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Business & Economics categories.
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.
Data Engineering For Data Driven Marketing
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Author : Balamurugan Baluswamy
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-03-10
Data Engineering For Data Driven Marketing written by Balamurugan Baluswamy and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Business & Economics categories.
Offering a thorough exploration of the symbiotic relationship between data engineering and modern marketing strategies, Data Engineering for Data-Driven Marketing uses a strategic lens to delve into methodologies of collecting, transforming, and storing diverse data sources.
Advances In Artificial Intelligence For Healthcare Applications
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Author : Anoop V.S
language : en
Publisher: CRC Press
Release Date : 2025-06-09
Advances In Artificial Intelligence For Healthcare Applications written by Anoop V.S and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Technology & Engineering categories.
Advances in Artificial Intelligence for Healthcare Applications comprehensively covers the theoretical foundations, applications, and research potential of artificial intelligence in the healthcare domain. Features: Discusses advanced concepts such as biomedical large language models, and natural language processing applications Covers machine vision applications for robotics in healthcare, challenges, and trends in rehabilitation devices in healthcare, and robotic interactions and control for wearable devices Presents the Internet of Things-based disease monitoring systems, Internet of nano-things for healthcare applications, and wearable Medical Internet of Things devices for accessible healthcare services Explains the use of artificial intelligence in bone and brain imaging, molecular imaging using artificial intelligence, and medical image segmentation Illustrates the importance of using generative artificial intelligence for clinical documentation, and medical imaging applications using generative artificial intelligence The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
Catastrophe Insurance
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Author : JAGENDRA RANA
language : en
Publisher: Blue Rose Publishers
Release Date : 2023-05-23
Catastrophe Insurance written by JAGENDRA RANA and has been published by Blue Rose Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-23 with Business & Economics categories.
Catastrophe insurance is different from other types of insurance from a business standpoint. It is difficult to estimate the total potential exposure to, and cost of, an insured loss, especially since a catastrophic event often results in an extremely large number of claims being filed at the same time. These catastrophes have had a severe impact on the entire economy and social lives. No country in the world is an exception to the rule of nature. So is India. India is a country that is highly vulnerable to major catastrophes. Rapid industrial development and urbanization coupled with effects of climate change has aggravated the disasters. No specific natural disaster policy is sold in India. It is part of regular fire insurance that covers damage to the property. India is witnessing a shift in climate patterns in various parts of the country. From this perspective, catastrophe risks such as natural disasters or acts of God pose a severe risk to insurance companies.
Applying Predictive Analytics Within The Service Sector
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Author : Sahu, Rajendra
language : en
Publisher: IGI Global
Release Date : 2017-02-07
Applying Predictive Analytics Within The Service Sector written by Sahu, Rajendra and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-07 with Business & Economics categories.
Value creation is a prime concern for any contemporary business. This can be accomplished through the incorporation of various techniques and processes, such as the integration of analytics to improve business functions. Applying Predictive Analytics Within the Service Sector is a pivotal reference source for the latest innovative perspectives on the incorporation of analysis techniques to enhance business performance. Examining a wide range of relevant topics, such as alternative clustering, recommender systems, and social media tools, this book is ideally designed for researchers, academics, students, professionals, and practitioners seeking scholarly material on business improvement in the service industry.