R&D is evolving from digital adoption to intelligent orchestration — where AI, advanced data ecosystems, and sustainable design converge to create competitive advantage. In today’s landscape, innovation leaders face new challenges: accelerating product cycles, global supply chain disruptions, stricter ESG regulations, and the pressure to deliver smarter, greener, and more customer-centric solutions.

The R&D 5.0 Strategy Day empowers R&D professionals to master this new era by focusing on AI-enabled decision-making, integrated ecosystem collaboration, and the transformation of R&D culture for agility and resilience. Through real-world success stories, cutting-edge research, and interactive sessions, we explore how to:

• Move from isolated digital initiatives to end-to-end intelligent R&D value chains
• Harness generative AI for design, simulation, testing, and knowledge management
• Embed sustainability and circularity into product development from day one
• Navigate regulatory complexity and ethical AI considerations
• Create future-ready R&D organizations with adaptive skills, agile structures, and collaborative ecosystems

• Best practices: Selected business cases and inspiring talks
• Discussions: Opportunity to ask questions and for open discussion with the other conference members
• Matchmaking: Interests and competencies of all attendees
• Networking: Matched and pre-arranged one on one meetings
• Access to Networking app “Cintona”
• Possibility to join online via livestream 
• Access to slides and video recordings of the sessions

AI-Driven R&D Excellence

• Generative design, automated testing, and AI copilots for engineers
• Machine learning for predictive quality, reliability, and maintenance
• AI governance & explainability in R&D decision-making

Sustainable & Responsible Innovation

• Lifecycle assessment and circular design integration
• Green materials, energy efficiency, and low-carbon engineering
• ESG compliance as a driver of competitive advantage

Connected Ecosystems & Platforms

• Digital twins of products, factories, and supply chains
• Secure data-sharing across the innovation network
• Open innovation with startups, academia, and customers

Resilient & Agile R&D Organizations

• Hybrid R&D setups and globally distributed teams
• Cultural transformation for experimentation and fast learning
• Skills for the AI-augmented engineer

Future-Proof Product Portfolios

• Anticipating market shifts with AI-powered scenario planning
• Managing complexity across physical, digital, and service offerings
• Scaling innovation from prototype to global launch at speed