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10/10/24, 2:49 PM Red Hat Survey: AI is a Driving Force Behind UK Cloud Strategy as well as the Top Skills Gap | WebWire
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%)

Supporting Quotes

Hans Roth, Senior Vice President & General Manager EMEA, Red Hat

“Cloud technology continues to unlock significant advantages in scalability, cost efficiency and faster time to
market. Yet, this adoption can also drive increased complexity, with many organisations finding themselves
slowed down by internal silos, as shown in this latest survey. With the increasing prominence of AI in cloud
strategies, we see from this survey that both IT managers and CTOs care about transparency when it comes
to AI models: we believe that an open source approach can bring the transparency, modifiability and
explainability needed for enterprise-ready generative AI.”

Jo Hodgson, Country manager, UK, Red Hat

“We see a strong desire from UK businesses to innovate with cloud technologies to stay competitive, while
needing to respond to cost pressures and find efficiencies. AI has the potential to help address a range of
business demands, and we believe an AI-centric future requires greater choice, flexibility and independence
across clouds. This in turn requires a higher level of collaboration by design so that organisations can work
across diverse tools, vendors and clouds to prepare for whatever comes next. The beauty of taking an open
source approach to AI is that organisations don’t have to risk rapid innovation alone: they can navigate the

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