The Emerging of Sense in Complex Systems Development: The Case of Cognitive Computing
Wednesday, October 6, 2021 3:00 PM
Speaker: Kevin Crowston
Cognitive computing platforms such as IBM Watson or Azure
Machine Learning Studio are attracting increasing interest from organizations
that want to harness recent developments in artificial intelligence in
connection with their own data. Frequently, those organizations rely on
platform-specific development and consulting services offered by the platform
provider. Those sourcing relationships involve a novel technology, a
platform-based ecosystem, and a hyped vision of the future. It remains open how
this arrangement makes the cognitive- computing projects like or unlike
other information systems development sourcing projects. Employing sensemaking
as a theoretical lens to analyze collaboration between IBM and 17
client companies, this study identifies data, technology, project, and
context as four core target areas of sensemaking in cognitive computing
projects. It describes typical sequences of sensemaking within and across
the areas delivering a more dynamic understanding of how meanings influence
each other in those projects. Finally, it shows that mindfulness is selective
in terms of focus and differs between collaboration partners. The insights
suggest that cognitive computing projects need to embrace sensemaking as a core
aspect of progress, holistically employ mindfulness, and openly engage
with risks and chances related to the technology.
Zoom link: https://syracuseuniversity.zoom.us/j/96747222572?pwd=ajRjTTVzaC9US010ME5sTWo1UkR2Zz09
Any questions, please contact Lynnell Cabezas at email@example.com
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