Enterprises are facing a governance and cost crisis due to rapid, unmanaged AI adoption, leading to issues like shadow IT and runaway expenses. The key to successful AI deployment lies not just in using powerful models, but in investing in infrastructure that ensures control over model use and costs. An inference layer, acting as an 'air traffic control' for AI requests, can route queries to appropriate models, enforce governance, and track expenses, thereby optimizing performance and adapting to new regulations. AI
IMPACT Organizations need to prioritize robust AI governance and cost-management infrastructure to avoid sprawl and ensure efficient, controlled AI deployments.
RANK_REASON The article discusses challenges and best practices for AI adoption in enterprises, focusing on governance and cost management, rather than announcing a new product or research.
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