Armed Forces unite: Connecting data across domains (WPS212)
Enabling Data-Driven Transformation in the Armed Forces
Key Takeaways:
Data is a strategic asset for the armed forces, enabling decision superiority and operational advantage.
Challenges in data governance, literacy, and interoperability across the services and domains need to be addressed.
Cloud technologies are being leveraged to build data platforms, establish infrastructure standards, and enable secure cross-domain sharing.
Efforts are underway to standardize data models, APIs, and automation to facilitate data exchange and integration.
The armed forces are exploring the use of AI and machine learning, with a focus on use cases that can improve decision-making, logistics, and mission readiness.
Workforce development and cultural change are crucial to fully harness the potential of data and emerging technologies.
Data as a Strategic Asset
The armed forces recognize data as a strategic asset that can enable decision superiority and operational advantage.
Challenges include:
Decentralized data management and lack of governance.
Need to build data literacy and acumen across the workforce.
Ensuring data is usable, accessible, and shared across functional areas and warfighting domains.
Leveraging Cloud Technologies
Cloud technologies are being used to build data platforms and enable secure data sharing.
Key focus areas:
Establishing infrastructure standards and design patterns to accelerate deployment.
Implementing cross-domain solutions to enable data exchange across classification levels.
Leveraging cloud-native services and APIs to create data-driven applications.
Standardizing Data and Integration
Efforts to standardize data models, APIs, and automation are underway to facilitate data exchange and integration.
The Defense Logistics Agency (DLA) is leading initiatives to establish an API gateway and standardize data models across the Department of Defense (DoD).
Balancing the need for standardization with the flexibility required to support mission-specific requirements.
Advancing AI and Machine Learning
The armed forces are exploring the use of AI and machine learning, with a focus on use cases that can improve decision-making, logistics, and mission readiness.
Challenges include:
Ensuring the trustworthiness and reliability of AI-generated insights.
Addressing cultural acceptance and workforce development for AI/ML adoption.
Aligning AI/ML efforts with clear business cases and measurable outcomes.
The Way Forward
Achieving data-driven transformation requires a holistic approach, addressing governance, literacy, security, and cultural change.
Collaboration and information sharing across the services and with industry partners are crucial.
Continued investment in workforce development and the creation of data-driven decision-makers are key priorities.
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