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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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