Future Digital Twin & AI (Amsterdam) 2026 : Thought Leadership – RIVE

Future Digital Twin & AI (Amsterdam) 2026 : Thought Leadership – RIVE

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

Shubham Rajvanshi, Executive Advisor at RIVE, examines a problem that has persisted through successive generations of industrial technology: valuable information remains fragmented, difficult to find and time-consuming to prepare. In “From Data Chaos to Trusted Intelligence”, he explores how extracting and connecting that information can make everyday work easier and help organisations reduce costs.

The presentation centres on a data centre case study, where large volumes of project documentation were handed over without the structure needed for operations. Shubham describes how RIVE extracted information and built relationships between records to create asset registers, functional location hierarchies and other foundations for operational readiness. He then considers how the same approach can be applied to energy sector documents, including P&IDs, operating manuals and legacy records.

Shubham explains the progression from raw data to useful information. Equipment records, materials catalogues and bills of materials give teams a clearer understanding of what they own and maintain. Connecting these records through knowledge graphs adds context, helping users understand relationships between assets rather than searching through documents individually.

That connected information can then support operational decisions. The presentation considers how teams could assess the wider consequences of an equipment failure, identify affected upstream and downstream assets, and improve inventory planning. Shubham’s focus is on using better information to address specific business problems and deliver practical value.

Watch the full presentation to explore the case study and hear how this approach could help organisations turn fragmented engineering data into useful operational intelligence.

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