A&M’s Public Sector Framework for Driving Artificial Intelligence Value and Success
The integration of AI in the public sector offers significant opportunities to transform key areas like defense, healthcare and education. Public sector organizations must ensure that AI innovation aligns with public interest and ethical, regulatory and operational standards. However, the widespread adoption of AI is met with significant concerns about ethics, privacy, data security and workforce adaptation.
To navigate these complexities, Alvarez & Marsal has developed the P.A.T.H. to AI Framework, which guides public sector organizations through AI adoption with four strategic pillars: PLAN, ADAPT, TRANSFORM and HARMONIZE. The framework helps align AI initiatives with public sector goals and standards, to ensure ethical, transparent and sustainable deployment. This white paper explores how the P.A.T.H. to AI Framework can unlock AI’s potential across public sector domains, driving efficiency, improving services and fostering innovation. By focusing on planning, adapting, transforming and harmonizing, organizations can navigate the complexities of AI implementation with confidence and clarity.
Read the full white paper
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