Energy companies and utilities don’t just need more data—they need autonomous, trusted workflows that transform raw field assets into actionable operational intelligence. This comprehensive roundup explores the powerful convergence of reality capture, modern GIS, Digital Twins, and GeoAI.

We will track the entire lifecycle of industrial data: from capturing hyper-accurate field data and streamlining digital red-line workflows, to deploying autonomous AI agents (Agentic AI) and Spatial RAG (Retrieval-Augmented Generation) within enterprise systems. Join industry leaders as they demonstrate how pioneering organizations are moving past passive data visualization to embrace active, autonomous geospatial intelligence—giving early adopters a massive competitive edge in safety, compliance, and cross-team efficiency.

Key Discussion Topics:

• The Data-to-Intelligence Pipeline: Seamlessly transferring construction and reality capture data directly into GIS, Asset Management Systems (AMS), and enterprise platforms.
• GeoAI & Agentic Workflows in Action: How autonomous AI agents are moving beyond "answering questions" to proactively analyzing spatial trends and triggering operational alerts.
• Actionable Digital Twins: Using reality capture and cloud-based spatial analytics to build collaborative, multi-stakeholder visualization tools that break down internal team silos.
• Operationalizing Spatial RAG: Harnessing AI-powered spatial analytics to surface hidden patterns, automate digital red-lining, and drive safer utility operations at scale.
• Digital twins + AI-powered spatial analytics are converging in ways that will reshape how energy companies plan, operate, and adapt to an increasingly complex landscape.
• The biggest takeaway? The intersection of GIS, cloud, and AI isn't coming — it's here. And companies that embrace it now will have a serious competitive edge.