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Accelerating Data Processing for Space and Defense
KBR expands collaboration with AWS to enable cloud-based processing, analytics and AI for faster decision-making in satellite and sensor-driven space operations.
www.kbr.com
KBR’s Mission Technology Solutions (MTS) is expanding its strategic collaboration with Amazon Web Services (AWS) to modernize how government agencies handle the influx of data from satellite and sensor networks. By transitioning legacy ground and space systems to cloud-native architectures, the partnership aims to convert massive datasets—such as those from hyperspectral satellites and optical sensors—into real-time operational decisions.
Modernizing Space Operations via Cloud-Native Architectures
A primary objective of this collaboration is to replace rigid legacy systems with scalable, secure cloud-based infrastructure. This shift is critical for high-stakes missions, including in-orbit threat detection, satellite monitoring, and Earth observation.
- Cloud-Native Transition: KBR’s Speed to Mission Impact℠ framework focuses on moving critical infrastructure to AWS to ensure systems can scale automatically as data volumes increase.
- Modular Open Systems Approach (MOSA): By applying MOSA, KBR allows agencies to integrate new AI or analytics tools more efficiently, ensuring that platforms remain interoperable and flexible as technology evolves.
- Operational Continuity: Using AWS-validated methodologies and automation, KBR helps agencies reduce the risks and costs associated with large-scale cloud migrations while maintaining mission assurance.
Turning Data into Real-Time Decisions
The collaboration specifically targets the "latency gap"—the time between data collection and operational response. By leveraging AWS’s advanced analytics and Artificial Intelligence (AI) capabilities, KBR processes complex datasets at speeds previously unattainable.
The collaboration specifically targets the "latency gap"—the time between data collection and operational response. By leveraging AWS’s advanced analytics and Artificial Intelligence (AI) capabilities, KBR processes complex datasets at speeds previously unattainable.
- Hyperspectral & Optical Data: Advanced AI models are used to analyze imagery from hyperspectral satellites, which capture data across hundreds of narrow spectral bands to identify materials or objects with high precision.
- Distributed Sensor Networks: The partnership enhances the ability to correlate data from various ground and space-based sensors, providing a unified and resilient view of the operational environment.
KBR’s Strategic Investment in AWS Expertise
To support this expansion, KBR is significantly increasing its internal AWS capabilities. As an AWS Advanced Tier Services Partner with AWS Migration Competency status, KBR is positioned to meet the stringent security and compliance requirements of the public sector.
Edited by Romila DSilva, Induportals Editor, with AI assistance.
To support this expansion, KBR is significantly increasing its internal AWS capabilities. As an AWS Advanced Tier Services Partner with AWS Migration Competency status, KBR is positioned to meet the stringent security and compliance requirements of the public sector.
Edited by Romila DSilva, Induportals Editor, with AI assistance.
