HPE has unveiled new capabilities and partnerships to bring real-time data analytics and IoT insight to the network edge, reports Telecoms.com.
The team claims its new offerings, Edgeline EL1000 and Edgeline EL4000, are the first converged systems for the Internet of Things, capable of integrating data capture, analysis and storage at the source of collection. Transport and storage of data for analytics are becoming prohibitively expensive, the company claims, so the new products offer decision making insight at the network edge to reduce costs and complexities.
HPE claims the new offerings are capable of delivering heavy-duty data analytics and insights, graphically intense data visualization, and real-time response at the edge. Until recently, the technology to drive edge analytics has not been available, meaning data has had to be transferred to the network core to acquire insight. The team have also announced the launch of Vertica Analytics Platform which offers in-database machine learning algorithms and closed-loop analytics at the network edge.
“Organizations that take advantage of the vast amount of data and run deep analytics at the edge can become digital disrupters within their industries,” said Mark Potter, CTO of the Enterprise Group at HPE. “HPE has built machine learning and real time analytics into its IoT platforms, and provides services that help customers understand how data can best be leveraged, enabling them to optimize maintenance management, improve operations efficiency and ultimately, drive significant cost savings.”
The news follows an announcement from IBM and Cisco last week which also focused on IoT at the edge. Alongside the product launches from HPE, the team also announced a partnership with GE Digital to create more relevant propositions for industry. The partnership focuses on combining HPE technical know-how with GE’s industrial expertise and its Predix platform to create IoT-optimized hardware and software. GE’s Predix platform will be a preferred software solution for HPE’s industrial-related use cases and customers.
While the promise of IoT given the industry plenty to get excited about in recent years, the full potential has been difficult to realize due to the vast amount of data which needs to be transported to the network core to process and drive insight from. Although it would seem logical to process the data at the source of collection, technical capabilities have not been at the point where this has been possible. Recent advances from the IBM/Cisco and HPE/GE partnerships are removing the need to transfer information, and also the risk of bottleneck situations, points of failure and storage expenses from the IoT process.
“In order to fully take advantage of the Industrial IoT, customers need data-centre-grade computing power, both at the edge – where the action is – and in the cloud,” said Potter. “With our advanced technologies, customers are able to access data centre-level compute at every point in the Industrial IoT, delivering insight and control when and where needed.”
Applications for the edge-analytics proposition could be quite wide, ranging from production lines in Eastern Europe to oil rigs in the North Sea to smart energy grids in Copenhagen. It would appear the team are not only targeting industrial segments, where IoT could ensure faster and more accurate decision making in the manufacturing process for instance, but also those assets which do not have reliable or consistent connectivity.