Hylly
Henkilönnimi Botta, Marco, kirjoittaja.
Nimeke- ja vastuullisuusmerkintö The ‘Scattered’ EU Acquis on B2B Data Sharing
Julkaistu Verlag C.H. Beck, München : 2023.
Ulkoasutiedot
Sarjamerkintö ei-lisäkirjausmuodossa GRUR International, ISSN 2632-8623 ; 72(10)
Huomautus sisällöstä, tiivistelmä tms. Data is often described as the ‘oil’ of the 21st-century economy: companies that successfully collect and process a large amount of data manage to provide more personalized services to their customers and reduce their production costs, thus becoming more competitive. During the past decade, online platforms have proven to be successful in this regard, by collecting, combining, and extracting useful information from the personal data provided by their users. The advent of the Internet of Things (IoT) is expected to lead to exponential growth in the amount of ‘data harvesting’. Sensors collect an increasing amount of data, including non-personal data concerning the environment in which the device operates, as well as real-time diagnostic information about a device’s functioning. The increased amount of collected data is expected to improve the functioning of artificial intelligence (AI) as it is essential for the training of algorithms and thus to improve the quality of AI decision-making.
Asiasana
Sarjalisäkirjaus - yhtenäistetty nimeke GRUR International, 2632-8623 ; 72(10)
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*520 $aData is often described as the ‘oil’ of the 21st-century economy: companies that successfully collect and process a large amount of data manage to provide more personalized services to their customers and reduce their production costs, thus becoming more competitive. During the past decade, online platforms have proven to be successful in this regard, by collecting, combining, and extracting useful information from the personal data provided by their users. The advent of the Internet of Things (IoT) is expected to lead to exponential growth in the amount of ‘data harvesting’. Sensors collect an increasing amount of data, including non-personal data concerning the environment in which the device operates, as well as real-time diagnostic information about a device’s functioning. The increased amount of collected data is expected to improve the functioning of artificial intelligence (AI) as it is essential for the training of algorithms and thus to improve the quality of AI decision-making.
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