
The federal landscape has fundamentally shifted as agencies move beyond the initial phase of artificial intelligence experimentation toward a period of broad and impactful deployment. While the early years were characterized by pilot programs, the current mandate demands an aggressive integration of machine learning into the core of government operations to ensure global competitiveness. This transition requires navigating a labyrinth










