29 Jul 2021

Xilinx launches Versal HBM processors for the data center

    The Versal HBM series from Xilinx includes fast memory, secure connectivity and adaptable compute in a single platform.

    Xilinx continues to be arguably the most productive chip maker in the Valley with the introduction of the Versal HBM adaptive compute acceleration platform (ACAP), the latest in its Versal processor portfolio.

    Xilinx is known as a FPGA company, but the Versal line is so much more than that. Versal is the mashup of many different processor technologies into one die. Of course it has the FPGA programmable logic gates, but it also has Arm cores for applications and real-time processing, intelligent engines (AI blocks, DSPs), and I/O (PCIe Gen 5, CXL). The family ranges from the high-end Premium edition to the Versal AI Edge processors.

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    02 Jul 2021

    Cisco bolts together enterprise and industrial edge with new routers

      Cisco extends Catalyst industrial networking gear with new routers to enable a united architecture across edge-computing sites, including branch offices, substations, remote operating locations and fleets.

      Cisco has extended its family of Catalyst networking gear with routers designed to integrate remote, industrial-edge network resources.

      The new Catalyst 5G Industrial Router family includes three modular routers and a gateway that run Cisco’s core operating system, IOS XE, and support a variety of network access technologies such as SD-WAN, Wi-Fi 6, 5G, 4G, Private LTE, FirstNet and Wi-SUN. The ultimate goal is to let customers tie together enterprise networks and SD-WANs with remote operations so IT can build, secure and manage a unified edge.
      Typically, organizations connect industrial edge environments in isolation, resulting in a fragmented network architecture, increased security vulnerabilities, and isolated data, wrote Vikas Butaney, vice president and general manager of Cisco IoT, in a blog about the new systems.
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      07 May 2021

      10 Top Data Analysis Mistakes Digital Marketers Make

        Reporting and data analysis inevitably encompass a significant amount of our time as digital marketers.

        However, even experienced marketers can trip up and make a few common mistakes when looking at data and making decisions.

        You need to stay mindful of errors that can result in looking at the wrong data, reaching the wrong conclusions, or leaving the door open for faulty interpretations from a client or boss.

        In this article, you’ll learn 10 common mistakes digital marketers make when analyzing data:

        Not looking at a statistically significant timeframe.
        Not factoring in seasonality.
        Ignoring the impact of offline activity.
        Not accounting for multi-channel engagement.
        Reporting on numbers without conclusions.
        Focusing on the wrong KPIs.
        Making decisions based on faulty data.
        Not incorporating backend data.
        Visualizing data poorly.
        Assuming that you can measure everything.
        1. Not Looking at a Statistically Significant Timeframe
        Short Timeframe.Long Timeframe.

        Many businesses see ebb and flow in lead volume over the course of a week or month, and looking at data for just a few days generally does not yield an accurate reflection of long-term ROI.


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        13 Apr 2021

        9 enterprise-storage startups to watch

          As the enterprise edge expands to include semi-permanent remote workforces, IoT, and a range of applications like AI and M2M, they generate torrents of nonstop data that must be stored indefinitely and be available in near-real-time to users and applications.

          Legacy storage architectures are failing to keep up with both data growth and user/application demand. While storage innovation is pushing more workloads into the cloud, many startups have found that the average enterprise is not yet ready for cloud-only storage. Legacy architectures and applications are experiencing extended shelf-lives due to tight IT budgets, and many enterprises still prefer to keep certain workloads on-premises.

          As a result, storage startups are finding ways not only to accommodate legacy infrastructures, but also developing storage systems that deliver the latest benefits of cloud-based storage to any deployment model.

          The nine startups featured here are developing everything from NVMe disaggregated storage platforms to storage management software for mainframes. Their founding teams earned leadership experience at the likes of Dell EMC, IBM, Juniper, and Pure Storage. Collectively, they have raised more than $750 million in funding, a figure made all the more impressive by the fact that it includes one startup that has not yet disclosed details about its funding.

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