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NORTEC Workshop: Artificial Intelligence – What deeper benefits can AI really have for production?

1.07. ab 13:0018:00
NORTEC Workshop zu KI in der Produktion
Wie viel Potenzial steckt wirklich in Künstlicher Intelligenz für die Produktion? Erfahren Sie es in unserem NORTEC Workshop! Anhand praxisnaher Beispiele und inspirierender Impulsvorträge beleuchten wir den Weg von Automatisierung hin zu KI – interaktiv, kritisch und anwendungsbezogen. Tauschen Sie sich mit Expert:innen aus und entdecken Sie neue Impulse für Ihr Unternehmen.

We, VDMA NORD and HAW, cordially invite you to our annual NORTEC workshop entitled “Artificial Intelligence – What deeper benefits can AI really have for production?”. This year we also have the Hamburg ARIC as a cooperation partner. During the workshop, we will discuss the development from automation to artificial intelligence using practical examples and keynote speeches. You will have the opportunity to participate interactively and critically question whether the use of AI can be useful for your production. Using practical examples from very different areas, we will show you what the implementation of AI in manufacturing companies can look like and what impetus you can draw from it for your own company.

Take the opportunity to exchange ideas with experts and other participants and gain deeper insights into the world of artificial intelligence.

We look forward to your participation!

Katrin Caldwell / Enno Stöver / Marina Tcharnetsky

 

Agenda

  1. Arrive & network
  2. Welcome & Introduction
    Katrin Caldwell, VDMA
    Prof. Dr. Enno Stöver, HAW
  3. Elevator pitches: Is this still automation or already AI?
    Jan Skrovanek, Adesso
    Hartmann Schleifer, Carugia
    N.N., Speira
  4. Impulse: AI in transition: from ChatGPT to AGI – milestones, limits and perspectives
    Marina Tcharnetsky, Artifical Intelligence Center Hamburg (ARIC) e. V.
  5. Impulse
    Prof. Dr. Sarah Hallerberg, HAW
  6. Practical example: AI in machine tools – no thanks!
    Dr.-Ing.
  7. Break with coffee & cake
  8. Practical examples: AI in production
    Predictive maintenance (N.N., HHLA)
    Assistance system for work plans (Prof. Daniel Böhnke, Kiel University of Applied Sciences)
    Use cases of AI in production (Hartmann Schleifer, carugia and Oleg Rudenko, IoT40 Systems AG)
    AI-supported product innovation (Achim Tappe, CDO, Fehrmann Tech Group)
  9. Final discussion & joint conclusion