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10/10/24, 2:51 PM Red Hat Survey: Centralising Cloud Management is Top Priority for UAE Organisations
Among those affected, the most common impacts on cloud strategy are:
● Inconsistent security and compliance across different providers (cited by 54%)
● Increased costs (47%)
● Limited control and visibility over cloud resources (42%)
Readiness for AI
When asked about their ability to take advantage of the growing AI opportunity, 40% of IT
managers surveyed state that their organisation has scalable, flexible and accessible IT
platforms but lack the right skill sets to fully harness AI’s potential. This compares to 25% that
have the right platforms and feel well-positioned to get the best value from them, and 35%
who are in need of new platforms (22% of which are on a path to acquire these).
With generative AI increasingly being explored by enterprises looking to solve existing
problems or seize new opportunities, the survey looked into the importance of a range of
factors in determining trust in an enterprise model for generative AI. It found that the following
all placed similarly among respondents:
● Transparent, modifiable models with explainable sources (cited by 89%)
● Proven performance and reliability in similar use cases (85%)
● Protection with model indemnification (84%)
● Compliance with data privacy and security standards (83%)
● Accessible for use across teams, not just data scientists (83%)
● Cost-effectiveness (82%)
● Domain-specific models (as opposed to generic LLMs) (79%)
The survey asked for the main obstacles preventing CTOs or equivalent decision makers from
advancing generative AI initiatives. The top listed were:
● Concerns about data privacy and security (43%)
● Energy consumption / sustainability concerns (39%)
● Insufficient infrastructure or resources (32%)
● Lack of transparency in AI models (31%)
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