AI Leaders And Laggards: Insights From NetApp’s Cloud Complexity Report

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Netapp,Primary Research,Enterprise AI

Steve McDowell is chief analyst at NAND Research. Steve is a technologist with over 25 years of deep industry experience in a variety of strategy, engineering, and strategic marketing roles, all with the unifying theme of delivering innovative technologies into the enterprise infrastructure market.

from NetApp offers a compelling glimpse into the evolving landscape of AI adoption and cloud infrastructure across industries and regions. The findings point to a growing divide between AI leaders and AI laggards, with clear implications for business strategy and competitiveness in the digital age.

NetApp found a significant gap in AI adoption, readiness, and deployment among different regions, industries, and company sizes. This divide separates AI leaders—those actively leveraging AI at scale—from AI laggards, those who are slower to adopt or implement AI technologies. There are similar differences when looking at AI adoption from a geography-based perspective. NetApp found that AI leaders are typically concentrated in countries with advanced technology infrastructure, such as India, Singapore, the UK, and the USA. About 60% of AI projects in these regions are already operational or in pilot.

 

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