10 best practices for optimizing generative and agentic AI costs
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As enterprises scale initiatives, the cost of developing, deploying and operating generative artificial intelligence models rises significantly. The shift toward AI agents can further increase costs becausse of poor architecture, limited operational maturity and weak governance.
Information technology leaders can adopt these 10 best practices for optimizing costs, enabling them to achieve quicker business value and operational efficiency:
1. Be objective about model accuracy, performance and cost tradeoffs









