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Mastering cloud economics in the era of AI adoption

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The acceleration of artificial intelligence (AI) adoption has had significant implications for enterprise cloud economics. As businesses invest heavily in AI, they must also focus on managing escalating cloud costs strategically to remain competitive in this transformative era of AI. In this article, we look at the steps business can take to navigate the economic terrain of cloud computing.

Governance and process optimization

In cloud economics, the proliferation of costs poses a significant challenge due to the lack of effective governance. To address this, businesses must take proactive steps in establishing a robust governance framework for their AI services. This involves defining a predetermined set of services tailored to the organization’s specific needs, coupled with the creation of clear service level agreements (SLAs). These SLAs outline performance metrics, availability and support for each service, ensuring transparency and accountability in the utilization of AI resources.

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By lisa nichols

Passionate about the power of words and their ability to inform, inspire, and ignite change, lisa Nichols is an accomplished article writer with a flair for crafting engaging and informative content. With a deep curiosity for various subjects and a dedication to thorough research, lisa Nichols brings a unique blend of creativity and accuracy to every piece

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