The rise of AI necessitates a significant shift in organizational infrastructure, focusing on scalability, flexibility, and close integration with data. Organizations must reevaluate existing IT frameworks to accommodate AI's unique needs. Current infrastructure, including compute, storage, governance, and security, must evolve to support the sustainable implementation of AI. Many companies are navigating the dichotomy between on-premise and cloud solutions, with new AI-specific infrastructure services emerging as alternatives, enabling compliance without relying on public clouds.
As organizations adapt to AI applications, they must reassess infrastructure setups to ensure scalability, flexibility, and effective integration with data and applications.
The growth of AI presents organizations with challenges and choices regarding cloud, on-premise, and hybrid models, requiring thoughtful adaptations to infrastructure.
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