The event is intended to bring experience and practice on progression from AI awareness to AI innovation (through AI literacy, AI Proficiency and AI skillities) from understanding, responsible use, effective use, and creating new AI-enabled methods and products by repeatable professional expertise.

This approach is appealing because it gives educators and employers a roadmap rather than threating AI adoption as a binary “knows AI/doesn’t know AI“. The themes change the focus from AI itself to the human capabilities required to use AI effectively. It also leaves room for future “engineering” disciplines that scarcely exist today, such as Context Engineering, Evaluation Engineering, Governance Engineering, or License Engineering, which may soon become as recognizable as Software Engineering or Systems Engineering.

The event calls for experience and practice, lessons learned, and a not this way list.  Today, the frontier is gradually shifting toward professional capabilities. AI is becoming infrastructure, much as the Internet became infrastructure. What differentiates professionals is no longer whether they have access to AI, but what they can accomplish with it.

That suggests a subtle but significant positioning, from AI technologies to AI competencies. to engineer the next generation of AI-native professionals. Research and practical contributions on successful applications, barriers and challenges in applying agentic frameworks, and proved guidelines for business cases are welcome.