EXPERT OPINION
The top infrastructure
challenges that restrict
AI’s potential
Patrick Lastennet,
Director of Marketing
and Business at
Interxion, A Digital
Realty Company,
examines the
roadblocks facing
the acceleration of AI
innovation. He says it
is important to develop
a strong infrastructure
strategy for AI
deployments from
the start.
he hunger for Artificial
Intelligence (AI) is growing.
T Companies in every industry
are exploring ways that AI
can accelerate innovation and deliver
a powerful competitive edge. However,
designing AI infrastructure is complex
and overwhelming and, as a result, 76%
of businesses regard infrastructure as an
obstacle to AI success.
Still, that’s no excuse to slow down
progress. With more companies actively
pursuing or at least trialling AI, those who
wait will only fall further behind.
A recent survey of IT decisions-makers
across eight European countries found
that nearly two-thirds of enterprises
(62%) are currently deploying or
testing AI, while another 17% plan to
use AI in 2020.
Respondents cited a number of
infrastructure roadblocks that limit the
deployment of AI at scale, from a lack
of resources – capital, people and
physical infrastructure – to an unclear
company strategy that doesn’t take AI
into consideration.
Since AI deployment is a slow build for
many companies, a huge technological
gap will form between those that reach
the deployment stage and those yet to
begin planning.
Companies reluctant to invest in AI
will miss the opportunity to gain a
competitive advantage.
That’s why it’s important to develop
a strong infrastructure strategy for AI
deployments from the start. Here’s what
to consider.
40 Issue 19
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