2018.08.27 | Dell Technologies Announces New IoT Solutions to Automate Powerful, Actionable Insights

VMWORLD, LAS VEGAS – August 27, 2018 —  
Dell Technologies[1]’ Edge and IoT Solutions Division is announcing new solutions and bundles to simplify deployment of secure, scalable solutions for edge computing and IoT use cases. With these solutions, Dell Technologies is combining tools from its broad portfolio with technology from Intel and partners in the Dell Technologies IoT Solutions Partner Program[2]. This will drive workloads for computer vision – enabled by imaging sensors – and machine intelligence – characterized by structured telemetry from sensors and control systems. Dell Technologies has collaborated with Intel[3], who has helped advance these solutions with their computer vision and analytics technologies.

“Workloads and use cases for computer vision and machine intelligence require different combinations of tools, but the computing infrastructure elements are the same,” said Joyce Mullen, president, Global Channel, OEM and IOT Solutions at Dell Technologies. “Dell Technologies provides a scalable, secure, manageable and open infrastructure – spanning edge to cloud – so customers and partners can realize value today and build a foundation to support these workloads and case studies in the future.”

Cameras provide rich information about the physical world, but the deluge of video data creates too much data for humans to cost-effectively monitor for real-time decision making. Applying analytics, such as Artificial Intelligence, to these data streams automates powerful, actionable insights. Events driven by computer vision and analyzed together with telemetry from machines[4]– including data that imaging sensors cannot provide, such as voltage, current and pressure – results in even more powerful insights.

Because of rapid evolution in the IoT market and the fast pace of innovation required to stay competitive, many customers now require an ‘IT grade’ infrastructure. This should include a security-first perspective to support scalability, data diversity and the increasingly complex needs of connected devices.

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