Organisations across the globe are increasingly keen to harness the power of Artificial Intelligence ( AI ). Data centres are a convenient platform for these ambitions , however , achieving optimal performance requires a welldesigned network infrastructure and architecture . AI can help enhance network manageability and deliver the best end-user experience , illustrating its dual-edged impact .
Business processes rely heavily on applications , making sure that smooth operation is a key priority for CIOs , particularly for companies integrating AI more extensively into their business processes .
These applications typically reside in businesses ’ own ( onpremises ) data centres , highlighting the critical need for a robust network environment and associated architecture . Without these , business applications cannot function optimally and connections to devices are not possible .
Automation is inescapable
Steven Blees , Sales Director Benelux at Juniper Networks , explores why automation has become a necessity , the benefits of implementing AIOps within the data centre and how to ensure a network environment is suitable for AI .
Managing the network environment in data centres has become increasingly complex in recent years , a complexity compounded by the diverse applications and technologies in use , which are often managed by separate teams . The siloed nature of this way of working can lead to communication challenges and isolated operations . The large volume of data generated within data centres further complicates the quick identification and analysis of relevant management information .
Manual monitoring , along with tasks like configuration , patching and incident resolution , is typically labour-intensive , inefficient and prone to human error . Similarly , manually tracking and
HOW AI PLAYS A DUAL ROLE IN ON-PREMISES DATA CENTRE ENVIRONMENTS
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