Another striking trend is the renewed blurring of the boundaries between different categories of addresses. [⇒ Blurring the Boundaries]
Verwischung der Grenzen zwischen verschiedenen Kategorien von Adressen
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STICHWEH, Rudolf, 2000. Die Weltgesellschaft: soziologische Analysen. Orig.-Ausg. Frankfurt am Main: Suhrkamp. Suhrkamp-Taschenbuch Wissenschaft, 1500. ISBN 978-3-518-29100-9, p. 228
ABBASALIPOUR, Samira and JUDD, Bruce, 2011. Blurring the boundaries: The interface of shopping centres and surrounding urban public space. In: 5th State of Australian Cities National Conference, 29 November–2 December 2011, Melbourne, Australia. 2 December 2011. [Accessed 26 January 2023]. Available from: https://apo.org.au/node/60007
Through the case study of the recently developed Rouse Hill Town Centre, in NSW, this paper sets out to consider the effects that the blurring of the boundaries between public and private spaces can have on urban life and vitality.
What prevents machine learning from transforming industries?, 2021. Routledge. ISBN 978-0-429-42355-0.
The industrial utilization of machine learning (ML) technology is still in its infancy. This chapter provides empirical insights on how ML has been deployed in three firms and which forces are at work in this transformation. It is clear that two complementary advancements are needed to make ML generally useful: while ML technology thrives on access to big and varied datasets, the first advance is a reduction in the laborious work of manually cleaning, sorting and labelling the data, which defines how knowledge creation, technology and organization are interrelated. The second advance is to find sensible collaborative modes of data access and sharing, which challenges the very boundaries and interdependence of firms since the value of data for training ML algorithms depends on access to others’ data.
[…] human beings need to work harder and more collaboratively today to get the machines to work for us.
[…] the value of data used in ML often depends on access to others’ data, which will require greater interdependence among organizations and increasing blurring of the boundaries of firms. However, access to data is currently not regulated.
There is a Wild West in collaborative practices, in which technical means and mutual contractual relationships are the dominant modes, which leads to problems in scalability. Finding sensible collaborative modes is important. This says that the more we automate things, the harder and the more cooperatively we must work to enable the transformation of activities and industries. It also says that knowledge creation, technology advancement and organizational (business) logics are inherently interrelated.