

Accelerating Earth Intelligence: Turning Raw Imagery Into Real‑World Insights
Hosted by Geovation with AWS, Spyrosoft, and Wherobots
Every day, satellites, drones, and airborne sensors capture terabytes of Earth Observation (EO) data but most of it remains unused. The complexity, cost, and specialised workflows required to go from raw raster imagery to business‑ready intelligence create friction for organisations that need fast, scalable geospatial insights.
With demand surging across climate, agriculture, infrastructure, land & property, and logistics, this event brings together AWS, Spyrosoft, and Wherobots to demonstrate the next generation of cloud‑native EO and spatial AI.
Learn how modern geospatial pipelines are transforming EO data from an engineering challenge into an intelligence engine.
What You’ll Learn
Participants will walk away with a clear understanding of how to:
Turn raw EO imagery into AI‑ready data products
Automate preprocessing, mosaicking, and model inference at scale
Integrate EO insights into enterprise data lakehouses & cloud workloads
Deploy segmentation and classification models on real EO datasets
Unlock new operational and strategic value using geospatial AI
📅Agenda (10:00 – 12:00, 4 March)
Welcome & Introductions
Geovation
The State of Earth‑Observation Data & AI
AWS
Why Earth Intelligence matters in 2026 and beyond
Key industry trends and barriers: scale, preprocessing, integration
A Planetary‑Scale EO Engine
Wherobots
Overview of Wherobots / RasterFlow
Enterprise cloud & lakehouse integration
Deriving insights from imagery end‑to‑end
Demo: Satellite Images to Actionable Intelligence
Spyrosoft & AWS
Live use‑case demo
Running segmentation & classification models
Exporting outputs to analytics platforms
Best practices for real‑world deployment
Real‑World Use Cases & Customer Spotlights
Geovation • Spyrosoft • AWS
Agriculture: continental‑scale boundary segmentation
Environmental monitoring: automated canopy height mapping
Infrastructure & logistics: road extraction & change detection
Q&A With the Experts
Who Should Attend
Perfect for professionals in:
Environmental monitoring
AgriTech & precision agriculture
Land & property
Infrastructure & mobility
Climate analytics & sustainability
Geospatial engineering & data science
Digital twins, AI strategy & innovation
Venue
Geovation Hub, London
A leading innovation space for geospatial and PropTech technology.
Attendees are welcome to stay afterwards for networking or coworking.
Why Attend
This session will empower you to break through traditional bottlenecks in EO workflows and harness the full potential of spatial AI. By the end, you’ll know exactly how to turn imagery into intelligence: faster, cheaper, and at scale.