IBM Weather Operations Center: Geospatial Analytics

IBM Weather Operations Center: Geospatial Analytics

The Geospatial Analytics component within the Weather Operations Center is a platform, specifically designed for massive geospatial-temporal (maps, satellite, weather, drone, IoT), query and analytics services. It frees up data scientists and developers from cumbersome processes that dominate conventional data preparation, providing search-friendly access to a rich, diverse and growing catalog of continually updated geospatial-temporal information.

The Geospatial Analytics engine within the Weather Operations Center brings over 6 petabytes of geospatial-temporal datasets to equip businesses with a unique set of knowledge, imperative to maintaining the leadership in the era of machine learning and AI. Included is a curated repository of several hundred harmonized analytics-ready data layers ranging from satellite imagery, weather data, demographic data, land and sea data, agricultural data and more. This component also allows client to ingest their own proprietary data for use in combination with the provided geospatial-temporal data to gain even deeper insights around decisions that matter to them in a scalable, cost-efficient manner. There are many ways industries can take advantage of geospatial analytics within the Weather Operations Center:

• A government can use actionable insights on health, disease and weather to better advise the public during a natural disaster or pandemic.
• An electric utility can better predict disruption risks to optimize maintenance and crew schedules.
• A lender can improve credit risk scoring methodology and reduce bad loan placements.
• A food company can better respond to consumer demand for greater quality and ensure sustainability initiatives are being met.
• An insurer can better project risk and alert policy holders before issues occur, increasing efficiency.