Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems. The huge potential of applying AI to problem-solving represents an exciting future in business objectives that can be achieved much more effectively. In addition, business-business, business-customer, and customer-customer may be interconnected in a revolutionary way to stimulate a tremendous amount of interesting activities.

A core of AI is Data and Knowledge Engineering which address the acquisition, understanding, description, storage, integration, processing, control, and use of data and knowledge, among others.

With the recent advances of AI, including ChatGPT, we think it is the right time to address the broader impacts of AI on Data & Knowledge Engineering and vice versa.​ Artificial Intelligence x Data & Knowledge Engineering (AIxDKE) is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice, as well as to identify the emerging topics and define the synergy between the research in AI and DKE in general.

TOPICS OF INTEREST​​ include all aspects of DKE whose solutions may be assisted by AI, such as:​
- Data modeling
- Database design
- Query processing and optimization
- Transaction management
- Crash recovery
- Integrity control
- Storage system
- Security
- Knowledge management
- Knowledge understanding and modelling
- Knowledge discovery
- Knowledge integration

AI Technologies that may be advanced by DKE applications, such as:
- Generative AI
- Transformer based technology
- Agent technology
- Semantic computing
- Decision making
- Machine learning
- Symbolic AI including Knowledge and data engineering, planning
- Problem solving
- Multi-modal interactions

The conference proceedings will be published by the IEEE and submitted to the IEEE Xplore®. Distinguished quality papers presented at the conference will be selected for the best paper/poster awards and for publication in internationally renowned journals.

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