From AI Idea to Federal Use Case: A Practical Readiness Assessment
A practical six-dimension assessment for deciding whether a federal AI idea is ready to become a bounded, evidence-driven use case.
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Editorial Insight series
AI Implementation in Federal Environments
Mission fit, model selection, readiness, data, privacy, security, and production operations for federal leaders.
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Field Review series
TDG DevSecOps Field Review
Practical reviews of the cloud products, platform patterns, and delivery controls shaping secure software delivery.
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6 published perspectives
From AI Idea to Federal Use Case: A Practical Readiness Assessment
A practical six-dimension assessment for deciding whether a federal AI idea is ready to become a bounded, evidence-driven use case.
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AI, Automation, or Analytics? Choosing the Right Solution for a Federal Problem
A mission-first framework for deciding whether a federal problem needs analytics, deterministic automation, artificial intelligence, or a controlled combination of the three.
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Introducing the TDG DevSecOps Practice: Secure Delivery as an Operating Model
TDG introduces a practical DevSecOps operating model that connects mission outcomes, delivery teams, platform engineering, security controls, and decision-ready evidence.
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AI in the Federal Enterprise: Key Considerations for Agency Leaders
A practical foundation can help federal leaders evaluate AI tools and use cases in context. AI is a family of capabilities, and mission value depends on the complete…
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Disaster Recovery in Federal Cloud Environments: Designing for Mission Continuity
For federal agencies, disaster recovery must restore a trusted mission service rather than merely duplicate infrastructure. A sustainable cloud strategy aligns mission impact, recovery objectives, data protection, cyber…
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Not All AI Models Are the Same: Choosing the Right Model for the Mission
A practical executive framework for choosing an AI model against the mission task, operating environment, evidence requirements, and consequence of error rather than market visibility or model size.
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What we examine
Ideas tied to operating reality.
Cloud & digital infrastructure
Modernization choices, platform operations, security, resilience, and cost clarity.
AI, data & intelligent systems
Responsible adoption, data foundations, governance, automation, and practical value.
Health technology
Interoperability, regulated data exchange, modernization, and mission continuity.
Program & transformation delivery
Decision systems, governance, risk, dependencies, operating models, and execution.
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