CINTONA

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R&D 5.0: From Digital Transformation to Intelligent, Sustainable, and Human-Centric R&D

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

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