“ Globally , we have more than 200 data centres in 52 markets to provide that connectivity . Google and Amazon are not there yet … Our ECX Fabric allows customers to connect to clouds that aren ’ t in their local market and do that dynamically without long term commitment ”
Brian Lillie , CPO , Equinix
there are a couple of key points to delivering a successful solution . Firstly , you ’ ve got to collect , clean and structure the data . In fact , almost 80 % of the work of a data scientist is preparing data for the application of algorithms . Don ’ t underestimate the amount of energy and effort needed to apply the learning . I ’ m on a couple of advisory boards and have seen a lot of startups in this area creating tools for data shaping , wrangling and cleansing . They are also looking at how to apply hypotheses to the data to deliver insights . Secondly , the core of that problem is finding the right talent . We ’ ve had luck recruiting new to career graduates from liberal arts colleges with maths degrees they can apply to the data science field so we can develop the ability to build neural network models and train them based on the data .”
Equinix has the ability to help enterprises make the fundamental shift from keeping IT at the core of control ( transaction workloads etc .) and teaching them to invert that and move it to the edge with the right tools .
“ Part of it is a mind-set shift ,” asserts Lillie . “ We have a notion of what we call Interconnected Oriented Architecture ( IOA ) with a set of blueprints available free to enterprises at our IOA Knowledge Base ( ioaknowledgebase . com ) to help them think through how they can structure their network , keep data secure and build out from that . We can give them blueprints based on patterns we ’ ve seen working with many companies . We ’ re enabling and simplifying cloud connectivity via cloud exchange with ECS . Recently we ’ ve created what we call our ECX Fabric .
“ Globally , we have more than 200
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