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100%: Thomas Hardjono: Trust: :Data: A New Framework for Identity and Data sharing (ISBN: 9781539114215) CreateSpace Publishing, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
84%: Thomas Hardjono: Trusted Data: A New Framework For Identity And Data Sharing (ISBN: 9780262043212) in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
84%: Thomas Hardjono: Trusted Data : A New Framework for Identity and Data Sharing (ISBN: 9780262356053) The MIT Press, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
Trust: :Data: A New Framework for Identity and Data sharing
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Bester Preis: € 13,63 (vom 06.05.2017)1
Trust
EN NWISBN: 9781539114215 bzw. 153911421X, in Englisch, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, in-stock.
As the economy and society move from a world where interactions were physical and based on paper documents, toward a world that is primarily governed by digital data and digital transactions, our existing methods of managing identity and data security are proving inadequate. Large-scale fraud, identity theft and data breaches are becoming common, and a large fraction of the population have only the most limited digital credentials. Even so, our digital infrastructure is recognized as a strategic asset which must be resilient to threat. If we can create an Internet of Trusted Data that provides safe, secure access for everyone, then huge societal benefits can be unlocked, including better health, greater financial inclusion, and a population that is more engaged with and better supported by its government. Some of the world's leading data scientists, led by MIT Professor Alex Pentland, describe a roadmap and platforms to implement this new paradigm.
As the economy and society move from a world where interactions were physical and based on paper documents, toward a world that is primarily governed by digital data and digital transactions, our existing methods of managing identity and data security are proving inadequate. Large-scale fraud, identity theft and data breaches are becoming common, and a large fraction of the population have only the most limited digital credentials. Even so, our digital infrastructure is recognized as a strategic asset which must be resilient to threat. If we can create an Internet of Trusted Data that provides safe, secure access for everyone, then huge societal benefits can be unlocked, including better health, greater financial inclusion, and a population that is more engaged with and better supported by its government. Some of the world's leading data scientists, led by MIT Professor Alex Pentland, describe a roadmap and platforms to implement this new paradigm.
2
Trusted Data: A New Framework For Identity And Data Sharing
~EN NWISBN: 9780262043212 bzw. 0262043211, vermutlich in Englisch, MIT Press, Vereinigte Staaten von Amerika, neu.
Lieferung aus: Kanada, Lagernd, zzgl. Versandkosten.
How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data.Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data. The data is protected by existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted.Contributors Michiel Bakker, Yves-Alexandre de Montjoye, Daniel Greenwood, Thomas Hardjoni, Jake Kendall, Cameron Kerry, Bruno Lepri, Alexander Lipton, Takeo Nishikata, Alejandro Noriega-Campero, Nuria Oliver, Alex Pentland, David L. Shrier, Jacopo Staiano, Guy ZyskindAn MIT Connection Science and Engineering Book.
How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data.Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data. The data is protected by existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted.Contributors Michiel Bakker, Yves-Alexandre de Montjoye, Daniel Greenwood, Thomas Hardjoni, Jake Kendall, Cameron Kerry, Bruno Lepri, Alexander Lipton, Takeo Nishikata, Alejandro Noriega-Campero, Nuria Oliver, Alex Pentland, David L. Shrier, Jacopo Staiano, Guy ZyskindAn MIT Connection Science and Engineering Book.
3
Trusted Data : A New Framework for Identity and Data Sharing
EN NW EB DLISBN: 9780262356053 bzw. 0262356058, in Englisch, The MIT Press, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Despatched same working day before 3pm.
How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data.Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data. The data is protected by existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted.ContributorsMichiel Bakker, Yves-Alexandre de Montjoye, Daniel Greenwood, Thomas Hardjoni, Jake Kendall, Cameron Kerry, Bruno Lepri, Alexander Lipton, Takeo Nishikata, Alejandro Noriega-Campero, Nuria Oliver, Alex Pentland, David L. Shrier, Jacopo Staiano, Guy ZyskindAn MIT Connection Science and Engineering Book.
How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data.Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data. The data is protected by existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted.ContributorsMichiel Bakker, Yves-Alexandre de Montjoye, Daniel Greenwood, Thomas Hardjoni, Jake Kendall, Cameron Kerry, Bruno Lepri, Alexander Lipton, Takeo Nishikata, Alejandro Noriega-Campero, Nuria Oliver, Alex Pentland, David L. Shrier, Jacopo Staiano, Guy ZyskindAn MIT Connection Science and Engineering Book.
4
Trusted Data: A New Framework For Identity And Data Sharing
~EN NWISBN: 9780262043212 bzw. 0262043211, vermutlich in Englisch, The MIT Press, neu.
Lieferung aus: Kanada, In Stock, plus shipping.
Books, Computers, Trusted Data: A New Framework For Identity And Data Sharing, How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data.Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data. The data is protected by existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted.ContributorsMichiel Bakker, Yves-Alexandre de Montjoye, Daniel Greenwood, Thomas Hardjoni, Jake Kendall, Cameron Kerry, Bruno Lepri, Alexander Lipton, Takeo Nishikata, Alejandro Noriega-Campero, Nuria Oliver, Alex Pentland, David L. Shrier, Jacopo Staiano, Guy ZyskindAn MIT Connection Science and Engineering Book.
Books, Computers, Trusted Data: A New Framework For Identity And Data Sharing, How to create an Internet of Trusted Data in which insights from data can be extracted without collecting, holding, or revealing the underlying data.Trusted Data describes a data architecture that places humans and their societal values at the center of the discussion. By involving people from all parts of the ecosystem of information, this new approach allows us to realize the benefits of data-driven algorithmic decision making while minimizing the risks and unintended consequences. It proposes a software architecture and legal framework for an Internet of Trusted Data that provides safe, secure access for everyone and protects against bias, unfairness, and other unintended effects. This approach addresses issues of data privacy, security, ownership, and trust by allowing insights to be extracted from data held by different people, companies, or governments without collecting, holding, or revealing the underlying data. The software architecture, called Open Algorithms, or OPAL, sends algorithms to databases rather than copying or sharing data. The data is protected by existing firewalls; only encrypted results are shared. Data never leaves its repository. A higher security architecture, ENIGMA, built on OPAL, is fully encrypted.ContributorsMichiel Bakker, Yves-Alexandre de Montjoye, Daniel Greenwood, Thomas Hardjoni, Jake Kendall, Cameron Kerry, Bruno Lepri, Alexander Lipton, Takeo Nishikata, Alejandro Noriega-Campero, Nuria Oliver, Alex Pentland, David L. Shrier, Jacopo Staiano, Guy ZyskindAn MIT Connection Science and Engineering Book.
5
Trust: :Data: A New Framework for Identity and Data sharing
EN PB NWISBN: 9781539114215 bzw. 153911421X, in Englisch, CreateSpace Publishing, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Trust~~Thomas-Hardjono, Trust: :Data: A New Framework for Identity and Data sharing, Paperback.
Trust~~Thomas-Hardjono, Trust: :Data: A New Framework for Identity and Data sharing, Paperback.
7
Trusted Data: A New Framework for Identity and Data Sharing
~EN PB NWISBN: 9780262043212 bzw. 0262043211, vermutlich in Englisch, MIT Press, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Trusted-Data~~Thomas-Hardjono, Trusted Data: A New Framework for Identity and Data Sharing, Paperback.
Trusted-Data~~Thomas-Hardjono, Trusted Data: A New Framework for Identity and Data Sharing, Paperback.
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