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    • PC Hardware

    Dell Builds Latest Business PCs to Handle Modern Workloads

    By
    eWEEK Staff
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    April 26, 2018
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      eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More.

      Today’s topics include Dell prioritizing AI and security in its latest mobile and desktop PCs, and Microsoft expanding its industrial IoT cloud portfolio.

      Dell is building out its portfolio of mobile and desktop commercial PCs to streamline complex modern workloads like artificial intelligence, machine learning, virtual and augmented reality, and analytics, and is also expanding its lineup of security software.

      The April 24 announcements come less than a week before the company’s major annual user conference, Dell EMC World, kicks off in Las Vegas, and as the company gains momentum in a stagnant global PC market.

      Using this momentum, Dell is releasing new and enhanced systems that include not only business notebooks and desktops, but also two-in-ones, all-in-ones and workstations.

      On the security front, Dell is looking to harden the systems while protecting data, whether it’s on Dell PCs, on systems from other vendors or in the cloud.

      Microsoft is showing off its latest industrial internet of things innovations at Hannover Messe 2018 in Hannover, Germany, through April 27.

      Among the company’s new offerings is an automatic discovery service for Azure IoT Suite Connected Factory, which enables manufacturers to quickly and securely incorporate industrial equipment into their industrial IoT environments.

      Microsoft is also making Azure IoT Hub and IoT Hub Device Provisioning Service available on Azure Stack, so enterprises can run a piece of Microsoft’s cloud in their own data centers. Azure Time Series Insights, Microsoft’s data storage, analytics and visualization service for IoT event analysis, is also integrating with Azure Storage, allowing organizations to draw insights from their industrial IoT equipment data while stashing their data in the cloud in a cost-effective manner.

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