Future Digital Twin & AI Amsterdam 2026: Thought Leadership – Enablon
Paul Tours of Wolters Kluwer Enablon examines how timely evidence, clear ownership and connected operational information can help teams make more reliable process safety and maintenance decisions.
Future Digital Twin & AI Amsterdam 2026: Thought Leadership – Cadmatic
Madalina Florean, Director of AI at Cadmatic, explores how consistent asset data, repeatable checks and clear access controls can make digital twins more trustworthy and useful across design, construction and operations.
Future Digital Twin & AI Amsterdam 2026: Thought Leadership – DNV
Lars Meloe of DNV presents a framework for managing risk in industrial AI, covering governance, cybersecurity, evidence of trustworthiness and the need to assess systems continuously as they change.
Future digital twin & AI Amsterdam 2026 : Panel 1 Discussion
Panel 1 at Future Digital Twin & AI Amsterdam 2026 explored how data quality, common data models and clear governance can help organisations build trustworthy AI-powered digital twins across complex industrial operations.
Future digital twin & AI Amsterdam 2026 : Panel 4 Discussion
Panel 4 at Future Digital Twin & AI Amsterdam 2026 explored how leaders can turn AI experiments into useful business capabilities through practical governance, employee learning and changes to the way work is done.
Future digital twin & AI Amsterdam 2026 : Panel 2 Discussion
Panel 2 at Future Digital Twin & AI Amsterdam 2026 examined how agentic AI can move from answering questions to supporting operational work, and what digital twins need to make that transition trustworthy and scalable.
Future digital twin & AI Amsterdam 2026 : Panel 3 Discussion
Panel 3 at Future Digital Twin & AI Amsterdam 2026 explored how to move digital twins beyond pilots through repeatable deployments, interoperability, user adoption and measurable operational value.