How AI Succeeds — Insights from Manufacturing Applications with Nikita Golovko

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. Register
for FREE with the rebate code ARCH-TECHRIDER-2026 .


Links




ArcAI42 - Nikita’s AI extension for arc42




KI = Bullshit?




Michael Stal: Analyse großer Softwaresysteme mit LLMs