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Digital Twin & AI Day for Machine Builders and Manufacturers

Digital Twin & AI Day for Machine Builders and Manufacturers

Arrangede by Teknologisk Insititut and SICK A/

Digital Twin & AI Day brings together machine builders and manufacturing companies for an inspiring day focused on how Digital Twins and Artificial Intelligence can create value in modern production solutions.

Through presentations from industry experts, research institutions, and technology providers, participants will gain insights into how Digital Twins support the entire machine lifecycle—from design and simulation to commissioning and operation—and how AI transforms production data into tangible improvements in efficiency, quality, and decision-making.

The event also features live demonstrations, real-world customer cases, and practical experiences highlighting both the opportunities and challenges of industrial digitalization, while providing excellent networking opportunities with industry peers and experts.

Programme – Digital Day

Gain inspiration on how Digital Twins, AI, sensor data and virtual technologies can create real value in industry. At Digital Day, experts from research, technology and manufacturing will share practical experience, customer cases and solutions within industrial digitalization.

The day includes expert presentations, live demonstrations, networking and a guided tour of the Danish Technological Institute’s facilities.

Wednesday, 9 September 2026
08:30–14:30
Forskerparken 10, 5230 Odense M – Centre Building

08:30–09:00

Arrival, breakfast and networking

09:00–09:20

Welcome to Digital Day

Rune Hahn Kristensen, Danish Technological Institute

  • Today’s objectives and programme
  • Overview of current digitalization initiatives and networks

09:20–10:00

Digital Twins – Why They Matter and How They Create Value

Jakob Lemming, Lab Manager, Digital Transformation Lab, Aarhus University

  • What is a Digital Twin?
  • Why is industry investing in Digital Twins?
  • Key use cases across the machine lifecycle
  • Real-world examples from design, commissioning and operation

10:00–10:15

Coffee break and networking

10:15–10:40

The Technology Provider Perspective

Patrick Bornstein, Vice President, SICK

  • Digitalization trends in industrial automation
  • Building reliable data foundations with sensors and IO-Link
  • Enabling Digital Twins through connected devices
  • SICK’s digital strategy and customer experiences

10:40–11:20

From Data to Visualization

Arnd Sörensen, Virtual Engineering, Simulation & AI

  • Turning sensor data into actionable insights
  • Industrial visualization using Omniverse and USD
  • Bridging the physical and virtual worlds
  • Simulation and virtual commissioning

11:20–11:50

Robot Programming with Generative AI

Malaika Din Hashmi, Robot Technology, Danish Technological Institute

  • From natural language to robot code using AI models such as LLMs, VLMs and VLAs
  • Automating workflows and reducing the need for specialized skills
  • Verification of AI-generated code

11:50–13:00

Lunch, networking and guided tour

Lunch will be served, followed by a guided tour of the Danish Technological Institute’s facilities.

13:00–13:45

AI from the Bottom Up – Solving Real Customer Challenges

Jan Kristensen, Körber Supply Chain

  • AI driven by operational challenges
  • Creating business value from factory data
  • Customer case examples
  • Presentation of solutions including:
    • OperatorEye
    • PredictiveEye
    • PredictX

13:45–14:10

Live Demonstration: Bosch Shopfloor Agent

Patrick Bornstein

  • AI in a production environment
  • Digital assistants on the shop floor
  • Live demonstration and key lessons learned

14:10–14:25

Discussion: Key Challenges in Industrial Digitalization

Facilitated by Rune Hahn Kristensen, Danish Technological Institute

  • Common barriers to implementation
  • Data quality and interoperability
  • Organizational challenges
  • Lessons learned from industrial projects

14:25–14:30

Closing Remarks

 

Practical Information

Participation is free of charge, and complimentary breakfast and lunch are included.

Seats are limited, and registration is required.

Registration and contact:
Bostrup@sick.dk
Phone: +45 40 52 64 03

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