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101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
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200 10$aDE'22 $eproceedings of the 1st International Workshop on Data Economy : December 9, 2022, Rome, Italy /$fNikos Laoutaris, Marco Mellia
210  1$aNew York, New York :$cAssociation for Computing Machinery,$d2022.
215   $a1 online resource (70 pages) $cillustrations
311   $a1-4503-9923-1 
330   $aData-driven decision making powered by Machine Learning (ML) algorithms is changing how the society and the economy work and is having a profound positive impact on our daily life. With the exception of very large companies that have both the data and the skills to develop powerful ML-driven services, the large majority of provably possible ML services, from e-health, to transportation and predictive maintenance, to name just a few, still remain at the idea or prototype level for the simple reason that data, the skills to manipulate them, and the business models to bring them to market, seldom co-exist under the same roof. Data must somehow meet with the ML and business skills that can unleash its full power for the society and economy. This has given rise to a highly dynamic sector around the Data Economy, involving Data Providers/Controllers, data Intermediaries, often-times in the form of Data Marketplaces or Personal Information Management Systems for end-users to control and even monetise their personal data.
606   $aBig data$vCongresses
606   $aPersonal information management$vCongresses
615  0$aBig data
615  0$aPersonal information management
676   $a005.7
700   $aLaoutaris$b Nikos$01421718
702   $aMellia$b Marco
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910637698903321
996   $aDE'22$93543810
997   $aUNINA