Networks Europe Jul-Aug 2020 | Page 31

ng ata. sn’t ept of n it comes to blocks, or become sumption g in the g AI and ML, tep into the e data they a tremendous e Computing pport data e an onus on e systems cture that’s iness output the realm of r some kind say we’ll not careful, en many peel back the e are still a em, so when it comes to automating processes, we aren’t quite in that space yet. AI solutions are currently very resource heavy. There’s no denying that the majority of data centres are now being asked how they provide AI solutions and how they can assist organisations on their AI journey. Whilst organisations might assume that data centres will have everything to do with AI tied up. Is this really the case? Yes, there is a realisation of the benefits of AI, but actually how it is best implemented, and by who, to get the right results, hasn’t been fully decided. Solutions to how to improve the performance of largescale application systems are being created, whether that’s by getting better processes, better hardware or whether it’s reducing the cost to run them through improved cooling or heat exchange systems. But data centre providers have to be able to combine these infrastructure elements with a deeper understanding of business processes. This is something very few providers, as well as Managed Service Providers (MSPs) and Cloud Service Providers (CSPs) are currently doing. It’s great to have the kit and use submerged cooling systems and advanced power mechanisms but what does that give the customer? How can providers help customers understand what more can be done with their data systems? How do providers differentiate themselves and how can they say they harness these new technologies to do something different? It’s easy to go down the route of promoting that ‘we can save you X, Y, Z’ but it means more to be able to say ‘what we can achieve with AI is..X, Y, Z‘. Data centre providers need to move away from trying to win customers over based solely on monetary terms. pemagazine.com