Enterprise AI
Practical adoption of intelligent systems in established processes, platforms and organizations.
Research · Artificial Intelligence
Presentations, lectures and perspectives on intelligent enterprise systems, agentic architectures, human enablement and responsible AI adoption.
← Back to the research journeyCurrent perspective
The current work connects Artificial Intelligence with long-standing questions of software architecture, operational reliability, economic value and the interaction between people and technical systems.
Practical adoption of intelligent systems in established processes, platforms and organizations.
Systems in which specialized AI agents coordinate tasks, tools, data and human decisions.
Responsible use of AI to extend expertise, improve decisions and support sustainable organizational change.
Presentations & talks
What if we’re educating software engineers … for a profession that is already changing?
The presentation traces the transition from early generative-AI experiments to practical customer projects. It uses an AI-supported product-data workflow as an industry example and reflects on how software-development roles and the education of future engineers are changing.
Suggested citation: Nützel, Jürgen (2026): AI Didn’t Replace Our Developers – It Changed Their Job. IEEE German Education Conference (GECon) 2026, TU Ilmenau, 20–22 July 2026. Presentation slides.
The presentation addresses the instability of AI-generated product imagery in large-scale B2B commerce. It introduces an automated benchmarking approach that combines objective scoring, consistency checks and visual metrics to detect color shifts, distorted proportions, changing shadows and other quality problems at scale.
Suggested citation: Nützel, Jürgen; Mansuri, Fahad (2026): When AI Gets Creative: Controlling Quality in Mass-Generated Product Images. APPIS 2026, 8th International Conference, Las Palmas de Gran Canaria, 19–23 January 2026. Presentation slides.