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It is clear that a responsible approach must be taken by service designers to ensure that personal data and privacy is protected for users, particularly as the IoT expands further into everyday life. This document covers a range of tools and techniques which can be applied to IoT applications and services, particularly where big data storage, analytics and machine learning are employed.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The rapid growth of the Internet of Things creates substantial opportunities for users to benefit from services which are based on data acquisition and storage, analytics and machine learning. 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