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PrismTech Announces Vortex Edge PMQ – Predictive Analytics at the Industrial Internet of Things Edge
Integrated hardware, data connectivity
and IBM Watson IoT’s predictive analytics solution provide real-time
insights into industrial assets’ health and performance
IBM World of Watson 2016, Las Vegas, NV, USA – October 24, 2016 – PrismTech™, a global leader in software platforms for distributed systems, today announced Vortex™ Edge PMQ, a predictive analytics solution for Edge Computing in the Industrial Internet of Things (IIoT). Vortex Edge PMQ provides a fully integrated hardware, data connectivity and analytics package which rapidly turns IIoT data into real-time predictive maintenance insights and actions.
Many industrial organizations currently lack real-time visibility and predictability of their assets’ health and performance. Vortex Edge PMQ enables organizations to address this problem head-on by providing an integrated approach to the optimization of their physical assets, operations and processes.
Vortex Edge PMQ uses real-time information collection to optimize maintenance schedules, production processes and product quality by: reducing unplanned downtime, predicting the best time to perform maintenance on a monitored asset, uncovering process deficiencies that can affect product quality, and identifying the root causes of asset failures.
Vortex Edge PMQ was developed in partnership with ADLINK and IBM Watson IoT and thus leverages best-in-class IIoT Edge Computing hardware, data connectivity software and predictive analytics technologies. This powerful integrated hardware and software solution uses IBM Watson IoT’s Predictive Maintenance and Quality (PMQ) analytics solution, ADLINK’s Intel-based Smart Gateway and Industrial Server hardware, and PrismTech’s real-time data connectivity software to provide true Edge Computing in an IIoT context. This enables rapid provisioning, deployment, execution and corrective actions to be taken wherever they make most sense in an end-to-end IIoT system.
Vortex Edge PMQ has been developed for asset-intensive organizations in a wide range of industries, including automotive, aerospace and defense, chemical and petroleum, manufacturing, consumer products, electronics, energy and utilities, government, travel and transportation, and telecommunications. The solution scales easily and employs a distributed analytics architecture to handle the monitoring of tens of thousands of Things, each of which can be continuously streaming multiple data points.
“As a leading technology and managed IT solutions provider helping clients design, optimize and support mission-critical assets we believe that the Vortex Edge PMQ solution addresses a very pressing IoT market need by delivering real-time predictive analytics at the edge, negating the latency issues of sending data to a centralized location to be analyzed,” said Chris Henry, EVP of Sales, SIS.
“We believe that the Vortex Edge PMQ turnkey approach to industrial connectivity and asset maintenance can be 30 per cent more cost effective than alternative solutions and represents a major step forward for industrial organizations seeking to reduce operational costs, grow revenues and manage risk,” said Steve Jennis, Corporate VP and Head of Global Marketing, ADLINK and PrismTech.
Vortex Edge PMQ is available now for selected pilot projects and will be generally available in early 2017. Pricing for Vortex Edge PMQ is available now upon request.
Further information about Vortex Edge PMQ is available from PrismTech's website at: http://www.prismtech.com/vortex/vortex-edge-pmq.
PrismTech’s customers deliver systems for the Internet of Things, the Industrial Internet and advanced wireless communications. PrismTech supplies the software platforms, tools and professional services they need to build solutions with the required platform coverage, performance, scalability, efficiency, flexibility and robustness. PrismTech’s customers service many market sectors, including: industry, energy, healthcare, transportation, finance, aerospace and defense. For additional information about PrismTech, visit the web site at http://www.prismtech.com.
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