Live from the GEOINT 2026 Symposium in Denver, Colorado, Project Geospatial’s Adam Simmons sat down with Anand Subramani, a senior leadership voice at Avineon.As enterprises and governments transition to advanced AI models and complex digital twins, they face a harsh reality: their predictive engines are only as good as the underlying data. In this exclusive interview, Anand discusses how Avineon helps organizations modernize their legacy GIS datasets, clean up messy spatial inventories, and build high-fidelity data foundations.Watch the full video to discover how Avineon leverages automation to streamline spatial data management, how they bridge the gap between engineering CAD data and GIS environments, and what it takes to construct reliable digital twins for utilities, infrastructure, and defense mapping workflows.Key Highlights in this Video:00:00:32 – Meet Anand Subramani and explore Avineon's core mission in the geospatial ecosystem.00:01:15 – The Foundations of Digital Twins: Why clean, accurate spatial data is non-negotiable.00:02:40 – Overcoming the "Garbage In, Garbage Out" Dilemma: Automated data validation and cleanup techniques.00:03:55 – CAD to GIS Integration: Successfully translating complex engineering files into interactive map layers.00:05:15 – Enterprise GIS Modernization: Helping utilities, municipalities, and federal agencies migrate legacy data architectures.00:06:40 – Scaling Data Processing: How Avineon manages massive infrastructure datasets with high efficiency.00:08:10 – The Future View: How evolving spatial data standards are shaping the next generation of asset management.Learn More About Avineon:🌐 Website: https://www.avineon.com/en-us/homeAbout Project Geospatial:We connect the geospatial ecosystem with deep dives into emerging technologies, live interviews from key global defense events, and educational podcasts. Subscribe for more expert coverage from GEOINT 2026!#GEOINT2026 #Avineon #AnandSubramani #GISModernization #DataQuality #DigitalTwins #AssetManagement #SpatialData #ProjectGeospatial