Going beyond pilots with composable and sovereign AI
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Despite significant investments in generative AI, only a small fraction of enterprise pilots deliver measurable business value, primarily due to infrastructural challenges such as limited data accessibility, rigid integration, and fragile deployment pathways. To address these issues, companies are increasingly adopting composable and sovereign AI architectures that enhance scalability, reduce costs, and maintain data ownership, with IDC projecting that 75% of global businesses will embrace this shift by 2027. The core problem lies in the disconnect between proof-of-concept (PoC) environments and real-world production settings, where PoCs often succeed in controlled conditions but fail
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