BIS is a renowned international conference on business information systems. BIS 2025 will be the 25th in a series of international conferences. From the very beginning it has been recognized by scientists and business practitioners as a forum for the exchange and dissemination of topical research in the development, implementation, application, and improvement of computer systems for business.

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AI-driven business transformation: challenges and opportunities
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Following on the importance for business and fast development of artificial intelligence and digital transformation the theme for the conference was defined as “AI-driven business transformation: challenges and opportunities”. Digital transformation is the process of integrating digital technology into all areas of a business, fundamentally changing how organizations operate and deliver value to customers. It involves a steady shift in approach to technology that requires organizations to continually challenge the status quo. Digital transformation is currently one of the strategic topics for businesses because it enables them to improve operational efficiency, enhance customer experiences, and stay competitive in an increasingly digital marketplace. By leveraging technologies such as data analytics, cloud computing, and most of all artificial intelligence, companies can innovate faster, make better informed decisions, and meet the evolving needs of their customers. Speaking of the last component – artificial intelligence – it became an enabler and catalyzer for many changes in business. Many activities that required human-level creativity are currently challenged by automated algorithms. AI technologies such as natural language understanding, object recognition, or media description enable businesses to analyze vast amounts of data quickly and accurately, uncovering insights that would be impossible to detect manually. This empowers organizations to make smarter decisions, optimize operations, and personalize customer experience. By automating routine tasks, AI also allows employees to focus on more strategic activities, fostering innovation and improving productivity. As a result, integrating AI into digital transformation initiatives is essential for businesses seeking to maintain a competitive edge and adapt to the rapidly changing digital landscape.

### Topics of interest

Artificial Intelligence
* artificial intelligence methods and tools
* data mining, machine learning, deep learning
* CNN, RNN, LSTM, GAN
* cognitive computing in business systems and applications
* responsible AI and bias mitigation
* support for business processes, RPA

Large Language Models
* credibility of information
* identification of misinformation and disinformation
* generation of text, generative AI
* customer service/bots
* emotion recognition in text sentiment analysis, emotion mining

Digital transformation
* integration of digital technologies in various areas of business
* digital business models
* digital twins in manufacturing
* blockchain for business processes
* IoT-driven operational efficiency

Big Data and Data Science
* data science for business systems and applications
* business intelligence
* big data analytics
* real-time big data analysis and streaming analytics
* standards, data models, and business models for smart data
* data integration from web information sources
* modelling and describing evolving data sources

Knowledge Graphs
* knowledge representation and reasoning
* information gathering for supporting knowledge-intensive enterprises
* quality of data
* building prominent knowledge graphs
* linked data, open data, linked open data
* corporate semantic web and semantic web applications

ICT Project Management
* project management methodologies
* tools and techniques
* stakeholder and user management
* effort, time, and cost estimation
* resource management
* risk management
* quality management
* global and virtual teams

Smart Infrastructures
* cloud computing, edge computing
* security and privacy
* sensor systems
* software-defined infrastructures
* agent systems and collective intelligence
* internet of things and cyber-physical systems

Social Media and Web-based Business Information Systems
* spread of propaganda, fake news
* social user experience
* social media and privacy
* social network analytics
* communities and crowdsourcing
* distributed and personalized search and recommendation
* user interfaces and human computer interaction

Applications, Evaluations, and Experiences
* CRM
* smart cities
* e-government
* business related e-science
* mobile applications
* industry specific applications
* future directions and interdisciplinary relations

### Submission guidelines

BIS 2025 proceedings will be published as a volume in Lecture Notes in Business Information Processing (LNBIP) series by Springer Nature. Information for LNBIP authors may be found at link: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

* All papers must be typeset using template:
- LaTeX: https://resource-cms.springernature.com/springer-cms/rest/v1/content/19238648/data/v8
- MS Word: https://resource-cms.springernature.com/springer-cms/rest/v1/content/19238706/data/v3

* Submission system: https://equinocs.springernature.com/service/bis2025


### Conference venue

Conference will be held at Poznań University of Economics and Business: https://ue.poznan.pl/en/university/

### Important dates

* Submission deadline for conference papers: January 12, 2025
* Notification of acceptance/rejection: March 11, 2025
* Submission of final papers (camera ready): April 1, 2025
* The conference: June 25 – 27, 2025