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Recapping end-user computing strategy evolutions of 2018
This article is part of the Access issue of November 2018, Vol. 2, No. 6
As 2018 winds down, many IT departments look a lot different than they did just a year ago. This year, end-user computing strategy evolved to include more cloud-based services, machine learning capabilities and analytics. Some products changed, others disappeared and new ones cropped up to fill holes many IT pros didn't even know they had. Looking back, artificial intelligence and machine learning were among the biggest influences on 2018. The technologies were certainly around long before this year, but vendors and customers alike took more notice of AI and how it could beef up IT strategies. In the EUC world, this meant more tools with machine learning to help IT pros identify and troubleshoot issues in their end-user management, for instance. For end users, their business applications gained AI that can better process, organize and analyze the data they handle every day. "With access to timely insights, employees can make better decisions, improving overall company performance," said Maribel Lopez, principal and founder at ...
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