How AI Succeeds — Insights from Manufacturing Applications with Nikita Golovko
About this episode
Eberhard Wolff interviews Nikita Golovko about the integration of AI in industrial automation and the distinctions between various AI methodologies.
Most AI discussions confuse Large Language Models (LLMs) with AI as a whole. In this episode Eberhard sits down with Nikita Golovko — industrial AI architect and practitioner at Siemens — to challenge that view and explores what happens when probabilistic systems meet deterministic environments like industrial automation. We clarify the differences between LLMs, Generative AI, and other AI methods — and where each actually creates value. From there, the focus shifts to architecture: how to safely integrate probabilistic AI into systems that require reliability, precision, and control. Finally, we generalize these lessons beyond industry, showing how choosing the right tool for the right problem leads to better outcomes in any domain. Nikita will talk at the TechRiders Summit in Cologne. https://tech-riders.de/ Register for FREE with the rebate code ARCH-TECHRIDER-2026 . https://app.tech-riders.de/offers/1/book?v=ARCH-TECHRIDER-2026&pr=10 Links * ArcAI42 - Nikita’s AI extension for arc42 https://github.com/nikgolovko/arcai42 * KI = Bullshit? https://software-architektur.tv/2025/04/11/episode260.html * Michael Stal: Analyse großer Softwaresysteme mit LLMs…
People in this episode
Host: Eberhard Wolff
Guest: Nikita Golovko
Topics covered
- AI in manufacturing
- probabilistic systems
- deterministic environments
- industrial automation
- AI architecture
- Generative AI
- Large Language Models
Keywords
- AI
- industrial automation
- Large Language Models
- Generative AI
- architecture
- reliability
- precision
- control
Sponsors
TechRiders
Mentioned in this episode
Organizations: Siemens, TechRiders Summit
Products: ArcAI42
Books & works: KI = Bullshit?, Analyse großer Softwaresysteme mit LLMs
Places: Cologne
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