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Strategic challenges for platform-based intelligent assistants
Reutlingen University, Faculty of Informatics, Reutlingen, Germany.
Munich University of Applied Sciences, Faculty of informatics and Mathematics, Munich, Germany.
Jönköping University, School of Engineering, JTH, Computer Science and Informatics. University of Rostock, Faculty of Informatics and Electrical Engineering, Rostock, Germany.ORCID iD: 0000-0002-7431-8412
2020 (English)In: Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES2020 / [ed] M. Cristani, C. Toro, C. Zanni-Merk, R. J. Howlett, & L. C. Jain, Elsevier, 2020, p. 966-975Conference paper, Published paper (Refereed)
Abstract [en]

Artificial Intelligence-based Assistants AIAs are spreading quickly both in homes and offices. They already have left their original habitats of "intelligent speakers" providing easy access to music collections. The initiated a multitude of new devices and are already populating devices such as TV sets. Characteristic for the intelligent digital assistants is the formation of platforms around their core functionality. Thus, AIS capabilities of the assistants are used to offer new services and create new interfaces for business processes. There are positive network effects between the assistants and the services as well as within the services. Therefore, many companies see the need to get involved in the field of digital assistants but lack a framework to align their initiatives with their corporate strategies. In order to lay the foundation for a comprehensive method, we are therefore investigating intelligent digital assistants. Based on this analysis, we are developing a framework of strategic opportunities and challenges. 

Place, publisher, year, edition, pages
Elsevier, 2020. p. 966-975
Series
Procedia Computer Science, E-ISSN 1877-0509 ; 176
Keywords [en]
Digital Architecture, Digital Products and Services, Intelligent Decision Management, Interaction and Visualization, Artificial intelligence, Automatic identification, Comprehensive method, Core functionality, Corporate strategies, Digital assistants, Intelligent assistants, Music collection, Strategic challenges, Strategic opportunity, Knowledge based systems
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hj:diva-51583DOI: 10.1016/j.procs.2020.09.092Scopus ID: 2-s2.0-85093363602OAI: oai:DiVA.org:hj-51583DiVA, id: diva2:1519897
Conference
24th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2020, 16-18 September 2020
Available from: 2021-01-19 Created: 2021-01-19 Last updated: 2021-01-19Bibliographically approved

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Sandkuhl, Kurt

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