About

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