in GeoBuiz Summit 2026global technology leaders, geospatial experts, and investors came together to explore how deep technology is transforming spatial analytics and geospatial intelligence. This panel discussion will focus on the convergence of artificial intelligence (AI), machine learning, spatial computing, and advanced geospatial analytics and how these technologies are reshaping decision-making across industries.
Speaker Google, Whereobots, NeoGeoInfo Technologies, Stout Street Capital We share real-world perspectives on the evolution of spatial intelligence, from traditional mapping systems to AI-powered, context-aware, real-time geospatial platforms.
Main themes discussed:
- Implications of deep technology in the geospatial ecosystem
- AI and LLM in spatial analysis and GIS workflows
- Spatial computing, digital twin, physical AI
- Image, video, LiDAR, and real-time data pipeline integration
- AI reliability, accuracy, explainability, and data readiness
- Investor outlook on near-term, scalable deep technology innovation
- The future of geospatial intelligence for infrastructure, mobility, and national security
Why this session matters
This discussion highlights a major shift in the geospatial industry: the shift from static maps to evidence-based, actionable, AI-driven spatial intelligence. As businesses and governments increasingly rely on real-time spatial insights, the ability to combine deep technology and geospatial data will define competitive advantage over the next decade.
This session is of particular relevance to GIS professionals, AI practitioners, urban planners, infrastructure leaders, policy makers, startups, and investors.
