Business Information Systems: 26th International Conference, BIS 2026, Prague, Czech Republic, June 10–12, 2026, Proceedings
Author:   Krzysztof Węcel ,  Václav Řepa
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032263629


Pages:   406
Publication Date:   21 May 2026
Format:   Paperback
Availability:   Not yet available   Availability explained
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Business Information Systems: 26th International Conference, BIS 2026, Prague, Czech Republic, June 10–12, 2026, Proceedings


Overview

This book constitutes the proceedings of the 26th International Conference on Business Information Systems, BIS 2026, which took place in Prague, Czech Republic, during June 10-12, 2026. This year's theme was ""From Hype to Impact: Turning AI into Real Business Value"". The 25 full papers and 6 short papers included in the proceedings were carefully reviewed and selected from 73 submissions. They were organized in topical sections as follows: Strategy, Architectures and Information Maturity; Information Safety; Trustworthy AI; Process Management and Automation; AI for Product Development; From Text to Knowledge; Speech Recognition; Innovations in Machine Learning; Requirements for AI and BI Systems; and Various Applications.  

Full Product Details

Author:   Krzysztof Węcel ,  Václav Řepa
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032263629


ISBN 10:   303226362
Pages:   406
Publication Date:   21 May 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

Strategy, Architectures and Information Maturity.- Information Safety; Trustworthy AI.- Process Management and Automation.- AI for Product Development.- From Text to Knowledge.- Speech Recognition; Innovations in Machine Learning.- Requirements for AI and BI Systems.- Various Applications.

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