The event, entitled "AI architectures in the company - from use case to scalable solution", offered practical insights into strategic, technological and organisational aspects of AI transformation. In his welcoming address and moderation, Prof. Dr Alexander Bartel, Professor of Agile Software Engineering and member of the IDT at HNU, emphasised the importance of robust software architectures in the age of AI and presented ten current areas of change.
High-calibre impulses from the field
Diana Iacob, Go-to-Market Lead AI at Microsoft, presented Microsoft's approach to developing and scaling AI architectures - strategically sound and practical.
Markus Eisele, Developer Strategist at IBM, gave two presentations on how AI is transforming traditional enterprise integrations and the potential that arises in conjunction with Enterprise Java.
Pavel Kostarev, research associate at the Technology Transfer Centre (TTZ) Günzburg at HNU, presented the Model Context Protocol (MCP) - an innovative concept for the structured contextualisation of models in scalable AI systems.
In addition to the technical presentations, the event offered plenty of room for discussion, exchange of experience and networking - a central concern of the AI Innovation Circle.
Exchange at eye level
"The AI Innovation Circle thrives on the open exchange between experts from different sectors," says Prof Dr Alexander Bartel. "Especially when it comes to complex topics such as scalable AI architectures, it is crucial to learn from each other and develop sustainable and future-proof solutions together."
