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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 .
The hunger for Artificial Intelligence
( AI ) is growing . 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 .
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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 . www . intelligentcio . com INTELLIGENTCIO
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