LEADER 01042nam0-22003251i-450- 001 990008459380403321 005 20070313171223.0 010 $a2-86563-027-7 035 $a000845938 035 $aFED01000845938 035 $a(Aleph)000845938FED01 035 $a000845938 100 $a20070130d1982----km-y0itay50------ba 101 0 $afre 102 $aFR 105 $ay-------001yy 200 1 $aNature et valeur dans la philosophie de Montesquieu$eanalyse methodique de la notion de rapport dans l'Esprit des lois$fCharles Jacques Beyer 210 $aParis$cKlincksieck$d1982 215 $a385 p.$d23 cm 225 1 $aBibliothèque française et romane$hSérie C$iÉtudes littèraires$v78 676 $a320.509 2$v19$zita 676 $a320.509 2$v21$zita 700 1$aBeyer,$bCharles-Jacques$0155523 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008459380403321 952 $aSDI-G 70$b2849$fSDI 959 $aSDI 996 $aNature et valeur dans la philosophie de Montesquieu$9728770 997 $aUNINA LEADER 02190nam 2200373 450 001 9910637698903321 005 20230830145010.0 035 $a(CKB)5720000000119634 035 $a(NjHacI)995720000000119634 035 $a(EXLCZ)995720000000119634 100 $a20230830d2022 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$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