Human-Time-Machine 2035
HTM35 – Networks of Knowledge Engine
The challenges of digitalization
- Automation of knowledge services
- Core expertise as a digital commodity
- Development of service networks
- Dissolution of company and industry boundaries
- The Winner-Takes-It-All Principle
- Interactions between people, society and companies
Benefits for companies
- Building knowledge in future disruptive technologies
- Out-of-the-box thinking with thought leaders from leading companies
- Joint journey to disruptive and niche scenarios
- Building on a broad knowledge base (from science to practice)
- Consideration of industry-specific requirements and challenges
- Strengthening the foresight mindset in your own company
- First mover advantage for technology leaders
- Scientific partners in strategic management (JKU)
I was incredibly impressed by the comprehensive treatment of the topic and at the end of the day I was surprised at how broadly and deeply the topic was dealt with.HTM33 – Participants
As a participant, you are taken by the hand and guided through the jungle of information.HTM33 – Participants
Your contact for the Open-Foresight Expedition
Dr. Johannes Klinglmayr
Transformation and Strategic Research
Further reference projects
TechCalc
TechCalc automates often laborious recurring calculations for component and system design. Its easy expandability, flexible model switching and integrated visualization capability supports during the entire design process. Model connectivity, Python scripting and traceability make the development processes faster, more efficient and more reliable.
Digital Hydraulic Pressure Control Unit
The Digital Hydraulic Pressure Control Unit improves efficiency and reliability in production systems. With digital hydraulics, the pressure process can be controlled more precisely, more energy-efficiently and with a longer service life.
SMART FLANGE FOR SAW BLADE MONITORING
Smart flange for saw blade monitoring: Integrated sensor technology and edge functionalities enable real-time condition monitoring for predictive maintenance.
