Companies implementing R&D 4.0 are more efficient and profitable

R&D with its active impact on value chains, portfolios and business models sets the foundation for corporate digitalization towards Industry 4.0. On the other side R&D is also passively disrupted by digitalization. Studies have shown that companies with highly digitalized R&D departments are more efficient and profitable, with faster development cycles and lower cost. Cost-saving modeling and simulations based on real-time big data analytics minimize corporate risks. New prototyping techniques optimize engineering capacities. But let’s keep in mind that R&D digitalization only makes sense if diligently embedded in a corporate transformation strategy.  If companies want to uncover the full potential of Industry 4.0 and tackle the cost pressure, digitalized development processes need to be fully integrated horizontally and vertically. R&D 4.0 Strategy Day helps professionals to expand their knowledge about R&D transformation by highlighting successful corporate strategies, use cases and latest scientific insights in presentations, discussions and workshops, as well as by offering time and space for one-on-one and group networking attendees can schedule themselves with our app.

  • Integrated and Agile R&D Transformation in a High-Tech Environment
  • Digital Tools and AI in R&D
  • Big Data / Data Analytics in R&D
  • KPIs 
  • Transformation in R&D Execution and Cultural Change
  • Cost and Value Management in R&D
  • Agile Transformation and Portfolio Management
  • Concepts for Connectivity and Usability
  • Structured Development Approach
  • Preparing Organisation, Competencies and Staff to the Digital Age
  • Patterns and Perspectives on Product Engineering Efficiency in the Age of Digitalization
  • Transition Towards Customer Centricity: Capture Customer Requirements Earlier and Faster
  • Adjust / Revise R&D Strategy
  • Continuous Process Integration (horizontal and vertical)
  • Agile Innovation and Collaboration
  • Change in Infrastructure and Ecosystems
  • External Digitalization Drivers in R&D
  • Do More With Less – Strategies for the Digital Transformation of R&D
  • IoT Integration
  • Modeling
  • Simulations
  • Complexity Management
  • Portfolio Management
  • Scaling Concepts
  • Cultural Change / Error Culture
  • Tools
  • 3D Printing
  • Rapid Prototyping
  • Digital Engineering
  • Digital Teams