Описание: Bringing Up B b meets Last Child in the Woods in this "fascinating exploration of the importance of the outdoors to childhood development" (Kirkus Reviews) from a Swedish-American mother who sets out to discover if the natu
Автор: McGurk Pat Название: Maths Revision Booklet M7 for CCEA GCSE 2-tier Specification ISBN: 1780731981 ISBN-13(EAN): 9781780731988 Издательство: Неизвестно Рейтинг: Цена: 1001.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: One of a series for the revised two-tier CCEA GCSE Mathematics specification tests M1 to M8. There is one booklet for every level, with revision questions written specifically for each booklet. These are not past paper questions.
Автор: McGurk Pat Название: Maths Revision Booklet M8 for CCEA GCSE 2-tier Specification ISBN: 178073199X ISBN-13(EAN): 9781780731995 Издательство: Неизвестно Рейтинг: Цена: 1001.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: One of a series for the revised two-tier CCEA GCSE Mathematics specification tests M1 to M8. There is one booklet for every level, with revision questions written specifically for each booklet. These are not past paper questions.
Автор: McGurk Pat Название: Maths Revision Booklet M6 for CCEA GCSE 2-tier Specification ISBN: 1780731973 ISBN-13(EAN): 9781780731971 Издательство: Неизвестно Рейтинг: Цена: 1001.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: One of a series for the revised two-tier CCEA GCSE Mathematics specification tests M1 to M8. There is one booklet for every level, with revision questions written specifically for each booklet. These are not past paper questions.
Автор: McGurk Pat Название: Maths Revision Booklet M5 for CCEA GCSE 2-tier Specification ISBN: 1780731965 ISBN-13(EAN): 9781780731964 Издательство: Неизвестно Рейтинг: Цена: 1001.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: One of a series for the revised two-tier CCEA GCSE Mathematics specification tests M1 to M8. There is one booklet for every level, with revision questions written specifically for each booklet. These are not past paper questions.
Автор: Mcgurk, Brett Название: Command ISBN: 0593138341 ISBN-13(EAN): 9780593138342 Издательство: Random House (USA) Рейтинг: Цена: 1563.00 р. Наличие на складе: Нет в наличии.
Автор: Brendan McGurk Название: Data Profiling and Insurance Law ISBN: 1509920617 ISBN-13(EAN): 9781509920617 Издательство: Bloomsbury Academic Рейтинг: Цена: 15840.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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 set to become some of the biggest consumers of big data which will enable them to profile prospective individual insureds at an increasingly granular level.
More particularly, the book explores how: (i) insurers gain access to information relevant to assessing risk and/or the pricing of premiums; (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 and group access to insurance.
This raises several consequential legal questions: (i) To what extent is the use of big data analytics to profile risk compatible (at least in the EU) with the General Data Protection Regulation? (ii) Does insurers' ability to parse vast quantities of individual data about insureds invert the information asymmetry that has historically existed between insured and insurer such as to breathe life into insurers' duty of good faith disclosure? And (iii) by what means might legal challenges be brought against insurers both in relation to the use of big data and the consequences it may have on access to cover?
Written by a leading 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 that big data offers to the insurance industry.
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