Category Archives: GE Digital

data analytics, Edge Network, GE Digital, HPE, Internet of Things, IoT, News & Analysis

HPE give IoT portfolio an edgy feel

Oil and gas platform in the gulf or the sea, The world energy, OHPE 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.

Big Data, data analytics, GE, GE Digital, News & Analysis

GE launches asset management offering for manufacturing industry

Engine manufactoringGE Digital has launched its suite of its suite of Asset Performance Management (APM) solutions, a cloud-based offering running on its Predix platform, to monitor industrial and manufacturing equipment and software.

The company claims industrial customers can now use data and cloud-based analytics to improve the reliability and availability of their GE and non-GE assets. While APM would generally not be considered a concept, GE claims its offering is the first commercially available to support the industrial data generated by a company’s assets, both physical and software based.

The launch builds on underlying IoT trends within the industrial and manufacturing industry to move towards a proactive performance strategy for their assets, repairing said assets before a maintenance issue as opposed to reacting to a fault.

“GE’s deep expertise in developing and servicing machines for industry gives us a greater understanding of real business operations and the insights to deliver on industry needs,” said Derek Porter, GM for Predix Applications at GE Digital. “With the launch of our APM solutions suite, GE is commercialising its own best practices for customers.”

The offering is split into three tiers. Firstly, a machine and equipment health reporting system will provide a health-check on the asset, detailing performance levels in real-time. Secondly, a reliability tool predicts potential problems within an asset, allowing engineers to schedule maintenance activities. And finally, a maintenance optimization tool will be available later in 2016 to optimize long-term maintenance strategies, which GE claim will enable customers to increase the lifecycle of the asset and reduce downtime.

Note: There is a poll embedded within this post, please visit the site to participate in this post’s poll.

The company also launched the generally available module of GE Digital’s Brilliant Manufacturing software suite, Efficiency Analyzer, which will be available through a new SaaS pricing model. Once again, the product offering is built on the need to analyse and activate data collected within manufacturing operations, to improve operational efficiency. One of the first use cases advertised by the company has been within its own transportation division.

“GE’s Brilliant Manufacturing Suite has enabled significant reduction in unplanned machine downtime resulting in higher plant efficiency,” said Bryce Poland, Advanced Manufacturing Brilliant Factory Leader, GE Transportation. “As part of our digital thread strategy, we will increase our machines and materials visibility by 400% in 2016.”