In 2025, enterprises face challenges in deriving value from AI as they move beyond experimentation to expecting business results. Many organizations lack readiness across essential elements like strategy, governance, talent, data, and technology. To succeed, businesses need to adopt a poly AI architecture, enabling flexibility and reducing vendor lock-in. The AI strategy should combine experimentation and scaling, using AI foundries for testing and AI factories for large-scale deployment. Key imperatives include focusing on smaller, specialized models, utilizing agentic AI for complex workflows, improving data governance, and driving business growth through AI integration.

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