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Research · Artificial Intelligence

Artificial Intelligence
in real organizations.

Presentations, lectures and perspectives on intelligent enterprise systems, agentic architectures, human enablement and responsible AI adoption.

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Current perspective

AI as the next layer of enterprise software

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.

01

Enterprise AI

Practical adoption of intelligent systems in established processes, platforms and organizations.

02

Agentic architectures

Systems in which specialized AI agents coordinate tasks, tools, data and human decisions.

03

Human enablement

Responsible use of AI to extend expertise, improve decisions and support sustainable organizational change.

Presentations & talks

Selected AI contributions

Conference presentation · 2026

AI Didn’t Replace Our Developers – It Changed Their Job

What if we’re educating software engineers … for a profession that is already changing?

Author: PD Dr.-Ing. habil. Jürgen Nützel, deenovum Technologies AG
Conference: IEEE German Education Conference (GECon) 2026
Venue and date: Technische Universität Ilmenau · 20–22 July 2026
Format: English presentation slides · 12 slides

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.

Conference presentation · 2026

When AI Gets Creative: Controlling Quality in Mass-Generated Product Images

Authors: PD Dr.-Ing. habil. Jürgen Nützel and Fahad Mansuri, deenovum Technologies AG
Conference: APPIS 2026 · 8th International Conference
Venue and date: Las Palmas de Gran Canaria, Spain · 19–23 January 2026
Format: English presentation slides · 30 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.