Extract insights from satellite imagery at scale with WherobotsAI (AIM128)
Extracting Insights from Geospatial Data
The Importance of Geospatial Data
The need to observe, understand, and create insights from the physical world has never been higher.
Geospatial data can provide a path forward to be more resilient to events like hurricanes and other changes in the physical world.
Various industries, such as logistics, operations, insurance, banking, real estate, forestry, agriculture, and government, have a huge amount invested in the physical world and can benefit from geospatial data solutions.
Challenges in Leveraging Geospatial Data
The vast scale and unique structure of geospatial data make it challenging to process using traditional cloud-based analytics engines.
Existing solutions often struggle with performance, scalability, and the lack of support for spatial operations.
This creates a "Frankenstein architecture" where companies have to integrate multiple tools and libraries, increasing the cost and complexity of building geospatial data solutions.
The Whereabouts Solution
Whereabouts was founded to address the challenges of leveraging geospatial data.
The company developed Apache Sedona, an open-source library that makes Spark suitable for geospatial workloads, which has been widely adopted by companies like Amazon, Uber, and Mercedes-Benz.
Whereabouts offers a product that provides:
High-performance, scalable, and cloud-native geospatial data processing.
Compatibility with various data types and integration with Apache Sedona.
Managed services, including Whereabouts DB (the compute engine) and Whereabouts AI (machine learning features).
Raster Inference
Raster data, such as satellite imagery, is a rich source of geospatial information, but traditional approaches to extracting insights from it are inefficient and expensive.
Whereabouts AI Raster Inference provides a fully managed solution for applying computer vision models to satellite imagery, optimized for large-scale workloads.
It allows developers to easily work with the insights from the imagery, without needing machine learning expertise.
Users can use pre-built models or bring their own, and the results can be seamlessly integrated with other geospatial data.
Getting Started with Whereabouts
Whereabouts is available on the AWS Marketplace, with a free trial offering $400 in credits.
The company's booth at the event is located next to the Hitachi sign, where attendees can ask questions and learn more about the solution.
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