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Data analytics for smart decision-making and resilient systems

  • In a networked world, companies depend on fast and smart decisions, especially when it comes to reacting to external change. With the wealth of data available today, smart decisions can increasingly be based on data analysis and be supported by IT systems that leverage AI. A global pandemic brings external change to an unprecedented level of unpredictability and severity of impact. Resilience therefore becomes an essential factor in most decisions when aiming at making and keeping them smart. In this chapter, we study the characteristics of resilient systems and test them with four use cases in a wide-ranging set of application areas. In all use cases, we highlight how AI can be used for data analysis to make smart decisions and contribute to the resilience of systems.

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Metadaten
Author of HS Reutlingenvan Dinther, Clemens
URN:urn:nbn:de:bsz:rt2-opus4-34949
DOI:https://doi.org/10.1007/978-3-030-66661-3_13
ISBN:978-3-030-66660-6
ISBN:978-3-030-66661-3
Erschienen in:Market engineering : insights from two decades of research on markets and information
Publisher:Springer
Place of publication:Cham
Editor:Henner Gimpel, Jan Krämer, Dirk Neumann, Jella Pfeiffer, Stefan Seifert, Timm Teubner, Daniel Veit, Anke Weidlich
Document Type:Book chapter
Language:English
Publication year:2021
Edition:1st ed.
Page Number:19
First Page:221
Last Page:239
PPN:Im Katalog der Hochschule Reutlingen ansehen
DDC classes:004 Informatik
Open access?:Ja
Licence (German):License Logo  Creative Commons - CC BY - Namensnennung 4.0 International