infographic 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
Addressing data security , workload scale and data visibility / management will be critical tenets of success for EMEA AI initiatives .
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 .
The report is based on a global research study conducted by Vanson Bourne , on behalf of Nutanix , surveying 650 IT , DevOps and Platform Engineering decision makers between July and September 2023 . The respondent base spanned multiple industries , business sizes and the following geographies : the Americas ; Europe , Middle East , and Africa ( EMEA ); and the Asia- Pacific-Japan ( APJ ) region .
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