VIDEOS

Shubham Rajvanshi of RIVE explores how unstructured engineering documents can be transformed into connected asset information to support operational readiness, maintenance and better decisions.

Berdiyar Saurbayev of EPAM explores how AI-native enterprise twins can connect operational data, reusable capabilities and governed AI agents to support workflows across an organisation.

Mike Ioannou of Shell reflects on the company’s digital twin journey, exploring how connected asset data and advances in AI are opening opportunities to automate diagnostics, simplify workflows and improve productivity.

Calum Maclean of Marine Technical Limits explores how AI can support offshore integrity engineering while making inspection gaps, uncertain conditions and the limits of available data visible in every decision.

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.

Partha Pratim Dev of Rosenxt explains how physics-based digital twins and structural monitoring can support offshore integrity decisions, while challenging assumptions about cost, automation and the need for engineering judgement.

Jim Wilton, VP of Product & Marketing at VEERUM, explains how to build an ROI model for digitalisation by choosing measurable operational problems, establishing cost baselines and tracking value as a programme expands.

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.

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.