Join Carahsoft, Google, and Hexagon US Federal for a SOF-focused presentation and discussion regarding new Google-based capabilities for conducting machine learning (ML) analysis at the tactical edge. We will discuss how the combination of Google Cloud, Google Maps, edge-capable hardware, and various data collection/visualization platforms like GEEP and ARTEMIS can come together to provide a hybrid connected/disconnected ML capability in the battlefield.
We will review a solution that showcases analysis and model building in a connected environment, then moving to data fusion and exploitation via virtualized machine learning capabilities in a disconnected environment.
Don't miss this webinar as we delve into a brand new concept in Google Machine Learning capabilities.
- Workloads that support both connected and disconnected environments and leverage the respective strengths of both
- New Google announcements and capabilities offered to the government
- Google Cloud Platform-enabled content fusion and machine learning used to extract intelligence from unclassified imagery
- Google Maps Platform data and capabilities, including Places, Geocoding, Roads Networks, and more
- A demonstration of a hypothetical SOF workflow scenario
