TECHNOLOGY
“ By far the biggest impact is in the Business Value delivery space , AI technology is becoming a necessity for many data-driven businesses ”
TIM LOAKE , VP , INFRASTRUCTURE SOLUTIONS GROUP , UK AT DELL TECHNOLOGIES the long-term success of AI . To maximise ROI from AI , businesses need to move beyond proof of concepts ( POCs ) and get to production and scale .”
Echoing this , Coors also believes in the importance of a robust and rigid strategy when it comes to AI technologies : “ In the case of true AI , companies should draft a first problem statement taking into consideration the company ’ s goals , objectives and social corporate view ; AI will be able to provide businesses with a few options seen from various angles and so accurately explaining / predicting what the impact would be is important .”
This is particularly significant as less than 15 % of AI models transition from proof of concepts ( POCs ) to production , and even fewer are taken to operate at scale . To create the right foundation for a robust strategy , Loake outlined that there needs to be a focus on data culture , data quality and data privacy .
AI : saving time and money in the data centre industry As the influx of data causes issues for the data centre industry , AI can control workload through automation . This could lead to the creation of several smaller , interconnected edge data centres , all of which would be managed by a single administrator .
Concluding , Loake outlined the potential use cases of AI within the industry : “ AI will save time and money by automating and optimising routine processes and tasks . AI will increase productivity and operational efficiency by allowing businesses to make faster decisions based on outputs from cognitive technologies . AI systems , when correctly deployed , will also help businesses avoid mistakes and reduce ‘ human error ’ – which is perhaps the biggest potential short-term benefit . aimagazine . com 115