BIS 2026
Business, Economics & Management (General) Data Mining & Analysis Databases & Information Systems Artificial Intelligence Engineering & Computer Science (General) E-commerce
BIS (Business Information Systems) is a well-established, internationally recognized conference that brings together leading researchers and business professionals from around the world π.
In 2026, BIS proudly celebrates its 26th edition, continuing a long tradition of excellence in sharing cutting-edge research and practical insights on the development, implementation, application, and enhancement of business information systems π‘.
Since its inception, BIS has served as a trusted forum for exchanging ideas that bridge scientific innovation and real-world business practice.
Artificial Intelligence has moved beyond being a futuristic promise to become a core driver of business strategy and innovation π€π. Yet, while AI adoption has accelerated rapidly, many organizations struggle to convert experimentation into measurable business results.
The BIS 2026 theme, “From Hype to Impact: Turning AI into Real Business Value”, highlights this pivotal transition. Today’s challenge is no longer discovering AI opportunities—but making them work in practice to boost growth, efficiency, and competitiveness π.
We are entering the era of execution. True AI impact emerges when technologies are deeply embedded into business processes, decision-making, and products—aligned with clear strategic goals. This transformation requires:
rethinking business models,
redesigning processes, and
fostering a strong data-driven culture π§ π.
Success is no longer measured by the sophistication of algorithms alone, but by their ability to solve real problems, enhance customer experiences, and deliver sustainable value π±.
From generative AI and predictive analytics to autonomous systems, AI technologies continue to mature and spread across industries. However, unlocking their full potential demands addressing challenges related to data quality, ethics, organizational readiness, and long-term sustainability—especially as AI investments often outpace immediate returns βοΈ.
BIS 2026 invites researchers, practitioners, and innovators to join the conversation and explore how AI can move beyond hype to become a true engine of business impact. Through real-world case studies, interdisciplinary perspectives, and forward-looking research, we aim to shape the future of AI in the digital economy πβ¨.
AI methods and tools
Data mining, machine learning, deep learning
Cognitive computing in business applications
Responsible AI and bias mitigation
Robotic process automation (RPA)
AI-driven software development
Credibility of information
Misinformation and disinformation detection
Generative AI (text generation)
Customer service and conversational bots
Emotion recognition, sentiment analysis, emotion mining
Knowledge representation and reasoning
Synergies between knowledge graphs and LLMs
Information gathering for knowledge-intensive enterprises
Data quality and curation
Linked data, open data, linked open data
Corporate semantic web applications
Audio and vision models
Image classification, object detection, semantic segmentation
Video analysis
Deepfake detection
Data science for business systems
Business intelligence
Big data analytics
Real-time and streaming analytics
Smart data standards and business models
Data integration from web sources
Digital technologies across business domains
Green transformation & sustainability (ESG) π±
Digital twins in manufacturing
Blockchain for business processes
IoT-driven operational efficiency
Process management and process mining
Corporate social responsibility (CSR)
Propaganda and fake news
Social media and privacy
Human–AI interaction
Digital cultures
Smart cities and smart infrastructures
Digital administration
Ethics in business information systems
Industry-specific applications
ICT project management
The BIS 2026 proceedings will be published by Springer Nature as a volume in the Lecture Notes in Business Information Processing (LNBIP) series πβ¨.
The conference will be held at Prague University of Economics and Business. The BIS 2026 will run as an in-person conference only. Remote attendance is not supported.
More information on the BIS 2026 website: https://bisconf.org/2026