Overview
Geospark Analytics' Events are derived from an AI-driven deep learning model that categorizes disparate forms of information into classes of activities. While most systems categorize events based on a keyword-driven taxonomy or ontology, Hyperion Events learn patterns in unstructured data to recognize patterns in social media, news media, and other source data and categorize it automatically into event themes.
Experience Geospark Analytics AI data in our interactive Story Map.
Data is available as a hosted Feature Service to easily integrate with all ESRI products in the ArcGIS ecosystem.
For more information on Geospark Analytics Event models visit our product page.
For use cases on how Geospark Analytics Event models can be used visit our blog.
Contact us at sales@geospark.io for multiuser or enterprise pricing.
Event Theme | Periodicity | Sources |
Disaster Data | Near-real-time | News, Social, Government Sites |
Crime Data | Near-real-time | News, Social, Bespoke Crime Data Sources |
Conflict Data | Near-real-time and daily | News and Social |
Travel Safety Data | Near-real-time, daily, long-term | Governments (US, UK, AUS, NZ) |
Unrest Data | Near-real-time, daily, long-term | News, Social, Government Sites |
Health Data | Near-real-time | News, Social |
Terrorism Data | Near-real-time, daily | News, Social |
Transportation Data | Near-real-time, daily | News, Social |
Business needs
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Industries
- National Government
- State and Local Government
- Health and Human Services
- Petroleum and Pipeline
- Insurance
Works with
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Platform
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System Requirements
Version
Version 2.0
Listed Date
Mar 21, 2020
Contact Information
Seeristhttps://geospark.ioEmail800-674-8398