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10/10/24, 2:52 PM         Red Hat Survey: Centralising Cloud Management is Top Priority for UAE Organisations - Middle East News 247
        ●             Security, compliance and sovereignty regulatory requirements (78%)


        ●             Preparing for AI adoption (77%)


        ●             Evolving cloud strategy in line with business objectives (76%)

        Siloed teams are slowing cloud adoption


        96% of IT managers surveyed said siloed teams pose challenges when adopting cloud technologies, with
        53% encountering this issue frequently.


        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%)






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