PTC and Hewlett Packard Enterprise (HPE) have teamed up to offer PTC’s ThingWorx IoT platform integrated with HPE’s Edgeline range of edge computing devices designed for IoT. The combinations are being demonstrated at the IoT Solutions World Congress from October 25 to October 27 in Barcelona.
They say the result will be the availability of “a pre-tested best-in-class hardware and software combination that will enable customers to solve IoT data management problems and make decisions from sensor data more effectively.”
PTC flagged the collaboration in June when it announced that the functionality of its ThingWorx IoT platform software was being expanded to deliver “distributed, real-time edge computing capabilities, specifically designed for the rigor of industrial use cases.”
PTC said it would offer “a pre-integrated edge ‘solution stack’ that collects and aggregates data from sensors, performs highly automated machine learning and predictive analytics, enables web and mobile development, and supports augmented reality (AR) experiences.”
“Customers now have the flexibility to deploy the IoT platform capabilities they need, in the computing configuration they want – deploying capabilities at the edge for speed and efficiency, and integrating to the cloud for enterprise connectivity and further computing. In situations where customers would like to deploy a distributed architecture.”
PTC said it would work with “IoT technology leaders” like HPE and National Instruments to optimise the performance of the PTC technology platform.
HPE announced its Edgeline products in June describing them as “the industry’s first converged systems for IoT … [integrating] data capture, control, compute and storage to deliver heavy-duty analytics and insights at the edge to enable real-time decision making” and “ built to thrive in hardened environments and handle shock, vibration and extreme temperatures.”
Two models, the EL1000 and EL4000 were described as being “optimised to deliver heavy-duty data analytics and insights, graphically intense data visualisation, and real time response at the edge.”
