Future military personnel will operate in an entirely unique battlefield – one where synchronized data, technologies and human capabilities across land, maritime, air, space and cyber domains ensure military superiority. But, harnessing converged data streams –simultaneously and securely – is not simple, due to exponential amounts of data and dynamic battlefield scenarios. By utilizing edge computing and open software stacks, machine learning (ML) data can be deployed and accelerated to retain operational advantage. Mercury Systems, NVIDIA and SigmaX are securing machine learning for multi-domain operations with agile edge servers and cloud-native open software stacks that streamline deployment in theater.
Join us to learn more about:
- The importance of cloud-native platforms
- Why data flow matters
- Maintaining data integrity to enhance cybersecurity
- Architecting edge computing to reduce risk and accelerate ML
WHO WE ARE
- About Us: https://www.mrcy.com/company
- Our Capabilities: https://www.mrcy.com/capabilities
- Our Products: https://www.mrcy.com/products
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