Page 55 - RED HAT PR REPORT - OCTOBER 2024

10/10/24, 2:52 PM Latest News
? 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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Supporting Quotes

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