Decision-making is a crucial, yet challenging mission in enterprise management. It is still made based on a reactive approach rather than on facts and proactive approaches. This is often due to unknown correlation between data and goals, conflicting goals and weak defined strategy. Enterprise success depends on fast and well-defined decisions taken by relevant policy makers and business actors in their specific area. Open business intelligent systems can be seen as a collection of decision support technologies and tools for enterprises to enable knowledge workers such as executives, managers, and analysts to make better and faster decisions. With the emergence of big data, it possible to explore new opportunities that will revolutionize business intelligence. These include data warehouse based decision support, Hadoop (development environment), sensor data, social media, machine learning and crowd sourcing. The aim of this workshop is provide a forum to review open business intelligent systems as an open innovation strategy and address their importance in revolutionizing knowledge processing in economics and business sustainability. Topics for the workshop include, but are not limited to:
- Artificial Intelligence tools & Applications
- Big Data Mining and Analytics
- Machine learning
- Neural Networks
- Probabilistic Reasoning
- Evolutionary Computing
- Pattern recognition
- Heuristic Planning Strategies and Tools
- Data Mining and Machine Learning Tools
- Reactive Distributed AI
- Hybrid Intelligent Systems
- Intelligent System Architectures
- Network Intelligence
- Multimedia & Cognitive Informatics
- Pervasive Computing and Ambient Intelligence
- Semantic Web Techniques and Technologies
- Web Intelligence Applications & Search
- Deep Learning
- Business Intelligent
- Information Technology Management
Track Chair
- Ekkarat Boonchieng, CMU, Thailand