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Respondents indicate they lack generative AI and prompt engineering skills , and also require more data scientists and data science skills .
When it came to AI data governance , over half of EMEA organisations indicated that AI data governance requirements will force them to better understand and track data sources , age , and other data qualities . Addressing data security , workload scale , and data visibility , management will be critical tenets of success for EMEA AI initiatives .
Infrastructure modernisation and data security are at the forefront of EMEA AI decision-making – not cost . Cost ranked as the third-lowest consideration for EMEA organisations running or planning to run AI workloads . Furthermore , when we asked about the key drivers behind upgrades for AI applications or infrastructure , EMEA respondents once again ranked cost as the lowest priority .
By contrast , over 90 % of EMEA respondents agree that their IT costs and cloud spending will both increase due to AI applications . EMEA organisations are showing a willingness to spend in support of their AI initiatives , a sentiment which AI solutions , services providers will benefit from .
Nutanix is a global vendor in cloud software , offering organisations a single platform for running apps and data across clouds . With Nutanix , companies can reduce complexity and simplify operations , freeing them to focus on their business outcomes . Building on its legacy as the pioneer of hyperconverged infrastructure , Nutanix is trusted by companies worldwide to power hybrid multicloud environments . p
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