https://store-images.s-microsoft.com/image/apps.61239.58b33df2-369d-4af2-a84e-a215867a3722.46426b59-4382-4f7f-95d3-c82fcf424561.c06ffe2c-23da-4026-af0c-8c1b487788db
Geospatial GenAI
EY Global
Geospatial GenAI
EY Global
Geospatial GenAI
EY Global
Infuse Earth observation data into your business insights
Solution overview
The Geospatial Generative AI (GenAI ) solution is designed to support diverse use cases, aiding in tasks ranging from vegetation management and crop surveillance, to shoreline evaluations, site selection, and monitoring critical infrastructure. Built on Microsoft technology and tailored to fit the specific requirements of businesses, the Geospatial GenAI solution incorporates several features aimed at streamlining the handling and analysis of geospatial data.
•Data integration capability: Facilitates seamless data integration from
a diverse range of sources, including satellite imagery, enterprise data, and
sensors, thereby empowering you with a 360-degree view
•Geospatial GenAI enablement: Incorporates geographic context into your
data and introduces an extra insight dimension, enabling the visualization and
comprehensive analysis of complex patterns and trends
Superior
user experience: Enhances user experience with a GenAI feature which unravels
actionable insights from labyrinthine data through Solution benefits
The Geospatial GenAI solution offers the following key benefits:
•Supply
chain: Assess risk levels to ensure resource availability in high-risk
points during high-risk periods.
•Business
optimization: Maximize business value by identifying opportunities and anticipating
issues, mitigating before they occur.
•Forecast
accuracy: Assess quality and accuracy of forecasts through comparison of
outcomes against prediction.
https://store-images.s-microsoft.com/image/apps.58939.58b33df2-369d-4af2-a84e-a215867a3722.46426b59-4382-4f7f-95d3-c82fcf424561.58da0012-93d6-41f4-983e-38db8c3f0e0c
https://store-images.s-microsoft.com/image/apps.58939.58b33df2-369d-4af2-a84e-a215867a3722.46426b59-4382-4f7f-95d3-c82fcf424561.58da0012-93d6-41f4-983e-38db8c3f0e0c
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