he impact of Artificial Intelligence ( AI ) is
T being felt widely across the world of data infrastructure . While AI workloads are changing how we build and operate data centres , AI ’ s influence is also being seen elsewhere , as it accelerates existing development trends in areas such as industrial IoT , cloud computing , Edge Computing , data centre operations and beyond .
Added to this is the increasingly close Quantum Computing , and the next 12 – 18 months are an exciting time for the information and communications technology ( ICT ) industry .
AI and optimisation
AI will continue its rapid acceleration , providing insights and optimisation , as well as having an impact on how data centres are designed as AI workloads grow and develop . We will build on our expertise to help businesses not just adopt but optimise for AI , such as with the recent investment in specialist liquid cooling technologies . Liquid cooling is becoming an increasingly important aspect of infrastructure that will support tomorrow ’ s ultra-dense workloads , and will require specialist implementation knowledge and expertise for new designs and retrofitting .
Yakov Danilevskiy – Vice President Strategy , Channels and Marketing , Schneider Electric , argues that with ever more compute-intensive workloads on the horizon for business including AI , AI itself must be leveraged to ensure efficiency , security and sustainability .
Automation in business generally , and in the data centre , will see more being done without human intervention , freeing people for more innovative and value-driven work .
It is also predicted that we will see increased usage of AIdriven digital assistants , such as tutors , coaches , carers ,
ARTIFICIAL INTELLIGENCE WILL CONTINUE TO PROPEL CHANGE ACROSS THE DATASPHERE
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