Page 11 - RED HAT PR REPORT - OCTOBER 2024
P. 11

Press release


               ●       14% are focused on essential services only


               Across the six countries, respondents were also asked about priority areas for their organisation's cloud
               strategy for the next 18 months.

               The following came top:
               ●       Centralising cloud management (80%)
               ●       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%)
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