Der Vortrag ist in Entwicklung, dies ist lediglich ein Veranschaulichungsbeispiel für die technische Abwicklung beim Vortrag. Aktuell Inhalte werden noch angepasst, ergänzt und bis zum 23.04.26 fertig gestellt. Dies ist die Basisplattform für den Vortrag.
UNDER CONSTRUCTION….
What if the biggest obstacle to AI in your organization… isn’t the technology?
We’ve spent years chasing tools. Buying subscriptions. Launching pilot projects. And yet — most organizations still can’t answer a simple question: Where is the real value?
AI That Truly Makes an Impact — Strategy Before Technology
What We Get Wrong
We treat AI like a feature. Rob Galler treats it like infrastructure. And before a process is optimized, before a workflow is automated — he insists on something much more fundamental: The people in the room must be heard, respected, and truly prepared.
AI has been with us since the 1950s. It did not arrive with ChatGPT — it came long before that. What has changed is the speed of its spread. Social media has not only spread AI — it has injected it directly and unfiltered into society.
Three Eras of Knowledge
Rob takes us through three eras of human knowledge — learning it, retrieving it, orchestrating it. And he makes one thing unmistakably clear: The organizations that will thrive are not the ones with the most tools. They are the ones that develop what he calls Didactic Intelligence — the human ability to understand, guide, and grow with AI.
Because in the end, emergence is not a feature of the machine.

It is the only thing that only humans can bring.
What Rob Galler Conveys
How does AI create real value in organizations? Rob Galler makes one thing clear: before a process is optimized, organizations must first value their people. That means reducing fear, building motivation, and providing honest education about what AI really is and can do.
Clear Strategy Instead of a Tool Collection
Companies do not need a collection of tools — they need a clear strategy and an AI platform as a true operating system: chatbot, assistant, agent, workflow, skills, knowledge folders, GDPR compliance, and hosting on European servers — combined with the right training for efficient, meaningful use.
Compact Overview: AI Yesterday, Today, Tomorrow
What was AI, what is it today, what will it become? The technology has been scientifically researched since the 1950s — but through social media, AI now exerts an enormous and rapid influence on our society. What is generative AI? What is analytical AI? What does RPA (Robotic Process Automation) mean? Where should our focus be — and in what form?
Risks, Opportunities & Live Examples
Risks, challenges, and opportunities — presented clearly, directly, and without sugarcoating. Including live examples directly from the field of nuclear science and the operation of nuclear facilities — real use cases, real impact, no simulation.
Alongside resilience, it is emergence that must be developed more than ever as a central human capability. Didactic Intelligence is the key to Artificial Intelligence.
Application examples from nuclear practice
Live examples directly from the field of nuclear science and the operation of nuclear facilities — real use cases, real impact, no simulation.
UNDER CONSTRUCTION….