From Data Chaos to Trusted Intelligence
Shubham Rajvanshi, Independent Advisor, Rive.ai
What separates fragmented asset data from intelligence that operators can trust? This presentation follows the journey from scattered documents and disconnected systems to a governed asset record that supports measurable business decisions.
Shubham Rajvanshi, Independent Advisor at RIVE, examines the cost of poor interoperability and manual data preparation across the energy industry. When teams repeatedly clean, format and re-enter information, valuable time is lost and data rarely reaches the people and processes that need it.
Using a data centre handover example, the presentation shows how AI can ingest engineering documents, drawings, equipment schedules and maintenance manuals to build a validated, audit-ready asset record. Every value remains traceable to its original source, while field images and 3D models help verify the record against the physical asset.
The trusted data is then organised into asset hierarchies, maintenance plans and governed materials catalogues. From this common foundation, organisations can support impact analysis, identify obsolete spares, optimise maintenance schedules, improve processes and deliver more reliable project handovers.
Explore the full presentation below to discover how a single trusted asset record can transform data into information, information into knowledge and knowledge into operational value.
