Real-Time OEE Performance Management

Real-Time OEE Performance Management

One of my customers back in the 90s established an OEE office and placed an OEE engineer in each plant. OEE, of course is the popular abbreviation for Overall Equipment Effectiveness—a sum of ratios that places a numerical value on “true” productivity. I’ve always harbored some reservations about OEE, especially as a comparative metric, because of the inherent variability of inputs. Automated data collection and modern data base analytics are a solution.

A press release and email conversation with Parsec came my way this week. It sets the stage by pointing to the pressure to increase quality and quantity, while reducing costs, leading manufacturers to seek a deeper understanding of trends and patterns and new ways to drive efficiency. The very nature of OEE is to identify the percentage of manufacturing time that is truly productive. It is the key metric for measuring the performance of an operation, but many companies measure it incorrectly, or don’t measure it at all.

In the latest example of its efforts to help manufacturers maximize performance while reducing costs and complexity, Parsec launched its real-time Overall Equipment Effectiveness (OEE) Performance Management solution.

Most OEE measurement systems capture data from a single source and offer reports that may be visually appealing but actually contain very little substance. Other OEE systems capture lots of data but fail to give operators the necessary tools to act on that data. The TrakSYS OEE Performance Management solution collects and aggregates data from multiple sources, leveraging existing assets, resources and infrastructure, and provides insight into areas of the operation that need improvement with the tools to take action.

“We are challenging manufacturers to go beyond OEE measurement and to begin thinking about performance management,” said Gregory Newman, Parsec vice president of marketing. “Our TrakSYS OEE Performance Management solution pinpoints the root causes of poor performance and closes the loop by providing actionable intelligence and the tools necessary to fix the bottlenecks and improve productivity.”


The Power to Perform

When designing the TrakSYS OEE Performance Management solution, Parsec took into account three key criteria for measuring OEE: Availability, Performance and Quality. Availability, or downtime loss, encompasses changeovers, sanitation/cleaning, breakdowns, startup/shutdown, facility problems, etc. Performance, or speed loss, includes running a production system at a speed lower than the theoretical run rate, and short stop failures such as jams and overloads. Quality, or defect loss, is defined as production and startup rejects, process defects, reduction in yield, and products that need to be reworked to conform to quality standards. As part of the solution, Parsec created a variety of standard dashboards and reports as well as the ability to customize reports through powerful web-based configuration tools.

“Our goal is to empower manufacturers to unlock unseen potential with their existing infrastructure,” added Newman. “Even small tweaks can save a plant millions of dollars each year.”

TrakSYS is an integrated platform that contains all of the functionality of a full manufacturing execution system (MES) in one package. The modular nature of TrakSYS brings flexibility to deploy only the functions that are required, without a major software upgrade. TrakSYS business solutions include OEE, SPC, e-records, maintenance, traceability, workflow, batch processing, sustainability, labor, and more.

GE Digital Expands Industrial Internet Application

GE Digital Expands Industrial Internet Application

Last week was GE Digital’s Minds + Machines Conference in San Francisco. This Industrial Internet (or Internet of Things to the rest of us) gathering showcases the latest of GE’s digital portfolio–including GE Automation and Control (the successor to GE Intelligent Platforms, successor to GE Fanuc Automation, whew).

Jim Walsh

Jim Walsh

Rich Carpenter

Rich Carpenter

I tried to arrange my schedule to make it out there, but there had been too many trips in Sept., Oct., and Nov. for my time and expense budget to make it. So, we had a conference call meeting with Jim Walsh, President and CEO of GE Automation & Controls, and Rich Carpenter, Product GM of Control Platforms also at GE Automation & Controls. We talked about the Industrial Internet, digitalization, and new products.

Included in my news below are additional news from the M+M event including acquisition and product news.


The point most interesting was Walsh and Carpenter discussed the edge device of the network as the controller (PLC). (See the graphic) Almost all of the other companies I talk with are developing an edge device separate from the controller. Carpenter described the closed loop control as “see-think-do”, and then the Industrial Internet plus Predix (GE’s cloud-enabled software product) analytics adds an “optimize” loop to the controller. It can then reflect back on experience and make changes as necessary.


Take for example large pumps in a water/wastewater application. They, of course, are energy consumers. By adding analytics from Predix, the controller could be modified to operate in a more energy efficient manner. One example proved out a $1.5 million per year savings. Another benefit is productivity improvements which Walsh said they had witnessed personally. They referred to the Industrial Internet Control System (IICS), which I will discuss later [Note: much like my Automation Fair update, this one will be long, because there is so much.]

And now, on to the news.

  • GE releases new suite of Predix applications and services; introduces the Predix System
  • Acquisition of Bit Stew Systems enables efficient data ingestion for industrial applications
  • Acquisition of strengthens machine learning and data science capabilities for Predix and enables enhanced Digital Twin development
  • Meridium acquisition places GE in the lead for Asset Performance Management app development; acquisition of ServiceMax positions GE to lead in service transformation
  • Ecosystem expands with independent software vendor program to speed industrial application development; more than 19,000 developers now building on Predix
  • Digital orders on track to exceed $7B, a growth of 25%+ in 2016
  • Digital thread productivity exceeds $600 million and accelerating into 2017

In 2016, orders from GE’s portfolio of software solutions are on track to climb 25%+ to more than $7 billion. Demonstrating the strength of Predix within GE, digital thread productivity will exceed $600 million, accelerating into 2017.

“The opportunity for industry is now,” said Bill Ruh, Chief Digital Officer of GE and CEO, GE Digital. “The Industrial Internet is profoundly transforming how we operate and our ability to deliver greater productivity for GE and for our customers. Connected machines, coupled with deep machine learning, are more powerful than anything we have seen. These strategic investments in both the Predix platform and our partners continue to attract industrial companies and provide them with tools they need to embark on their own digital industrial transformations.”


GE unveiled a new suite of software and applications.

This release will focus on expanding the platform and scaling development of Digital Twins – virtual representations of physical assets that comprise the world’s industrial infrastructure – through Predix apps and toolkits.

This new set of components can run on a variety of operating systems, devices and form factors – from sensors and controllers to gateways, server appliances and the cloud – making Predix a distributed system for the Industrial Internet and a complete “edge-to-cloud” offering.

GE also launched new Predix-based solutions, designed to help customers harness the power of the Industrial Internet:

Current, designed to analyze and optimize energy use and operational efficiency use across lighting, HVAC and other systems.

Digital Substation, extends maintenance optimization to the electricity grid.

Health Cloud, Cloud-enabled patient outcomes are linking clinical feedback to transformative radiology pathways.

Predictive Corrosion Management, a new Asset Performance Management (APM) solution that provides continuous inspection data and cloud-based analytics of pipe conditions to help operators manage corrosion-related risk.

Digital Power Plant software for gas, steam and nuclear plants, which features new tools to help customers reduce unplanned downtime by up to 5%, reduce false positive alerts by up to 75%, and reduce operations and maintenance costs by up to 25%.

Digital Hydro Plant, a suite of apps combining both software and hardware solutions designed to support Hydro customers globally, helping them get the most out of assets over the lifetime of a plant.


GE Digital announced it has acquired Bit Stew Systems to bring its data intelligence capabilities to Predix and other industrial solutions. Bit Stew applies its machine learning and artificial intelligence (AI) capabilities to automate the process of data modeling, mapping and ingestion, accelerating time to value for customers, such as BC Hydro, Pacific Gas & Electric and Scottish & Southern Energy. This acquisition will help GE Digital provide a solution to organize large amounts of data through efficient data organization at the edge or at the source of the data – the asset.

GE Digital also acquired, a leading machine learning and intelligent systems company. This acquisition will enable GE Digital to further accelerate development of advanced machine learning and data science offerings in the Predix platform. The team deepens GE’s machine learning stack and will spearhead innovative solutions in GE’s vertical markets to develop its machine learning offerings.

GE also announced a program dedicated to independent software vendors (ISVs), aimed at spurring development of industrial solutions and extending the reach of the Predix platform. Through these partnerships, GE will share its industry expertise and allow partners to use Predix as the building block for new industrial applications to enhance various components of industrial operations – such as maintenance, content development and asset management.

Inaugural launch partners include:  Box, Decisyon App Composer, Entercoms, Ericsson, Mobideo, Nurego, OAG Analytics, Pitney Bowes and Splunk. The addition of ISVs enhances the growing ranks of the GE Digital Alliance Program, which launched in February. The alliance program now boasts more than 270 partners around the world, including major enterprise players such as AT&T, EY, Intel, Microsoft and Tata Consultancy Services (TCS).

GE’s Industrial Internet Control System


GE’s Automation & Controls business introduced GE’s new Industrial Internet Control System (IICS) at its 2016 Connected Controls Symposium at the company’s Global Research Center in Niskayuna, NY. IICS delivers new levels of productivity for industrial assets and processes by integrating controls with Industrial Internet analytics – at scale yet modular and flexible for industrial settings worldwide.

Early IICS adopters report a +7% gain in asset performance and 22% increase in efficiency. By leveraging GE’s deep domain and controller expertise, the IICS solution empowers customers to improve operational efficiency, optimize production and unlock new revenue opportunities.

The system utilizes GE’s Field Agent technology as the gateway between the asset and the Industrial Internet. Field Agent provides a rugged, pre-configured solution for secure data collection and conveyance from the machine to fuel analytics that improve operations.

GE’s Industrial Internet Control System also includes:

  • Industrial Cloud Platform – Provides real time process optimization and control; minimalizes disruption to deployed application; Creates new value over time without having to retrofit
  • Secure Cloud Connectivity – Predix ready; Provides secure data collection; Enables advanced analytics; Form factors to meet the need
  • Outcome Optimizing Controllers – Real-time control; Defense in-depth security; Decreases time to market; Helps reduce unplanned downtime and enhance system performance
  • Mix & Match I/O – Remote, real-time diagnostics; Wide range of communication options; Modularity-simple scalability; Drives improved availability and simplified maintenance
  • Professional Services – Real Time control; Security at its core; Decreases time to market; Helps reduce unplanned downtime and enhance system performance
  • Intelligent Apps – Real Time Control; Security at its core; Decreases time to market; Helps reduce unplanned downtime and enhances system performance

IICS features dual or quad core configuration which provides safe and secure communication with either cloud-based or locally hosted algorithms and applications.

Two structural innovations make the new solution “future proof” for customers, who want hardware assets to be long-lived but remain optimally functioning.

  • Industry-first Hypervisor control technology that separates operations from software so that the software can be upgraded without affecting the physical controller, allowing the hardware to stay in place and up to date.
  • ComExpress processor technology that allows the processor to be updated as needed, again without replacing the controller. This is critical to support the growing computational power available from the Industrial Internet, including GE’s Digital Twin predictive model for optimizing assets with minimal interruption.
Acquisitions And New Products Feature Predictive Technologies

Acquisitions And New Products Feature Predictive Technologies

I have a little batch of process automation and industry news involving predictive technologies—two acquisitions and a new safety product. Congratulations to Mike Brooks and the team at Mtell for a good exit. Also congratulations to the MaxEAM folks. Finally, an important new take on process automation safety from PAS.

MTell Acquired by Aspen Technology

Aspen Technology Inc., a provider of software and services to the process industries, announced it has acquired Mtelligence Corp. (known as Mtell), a San Diego, California-based pioneer in the field of predictive and prescriptive maintenance for asset performance optimization.

Mtell products enable companies to increase asset utilization and avoid unplanned downtime by accurately predicting when equipment failures will occur, understanding why they will occur, and prescribing what to do to avoid the failure.

The products provide a low-touch, rapidly deployable, end-to-end solution that combines a deep understanding of operations and maintenance processes, real-time and historical equipment data and cutting-edge machine learning technologies. As a result, customers can:

  • Monitor the health of equipment, detect early failure symptoms, diagnose their root-cause and recommend the best responses to avoid the failure
  • Continually learn and automatically adapt to changing equipment and process behaviors
  • Automatically share findings across a network of similar equipment to improve the overall process performance.

Some of the world’s largest process manufacturing companies use Mtell. Customer results have shown significant benefits including improved industrial safety, removal of risk, reduced failures, enhanced productivity and increased profitability.

Mtell products include:

  • Previse – Mtell’s flagship end-to-end machine learning solution that monitors equipment health 24/7, detects early indicators of degradation or failures, diagnoses the root cause and prescribes responses that prevent breakdowns and unplanned downtime.
  • Basis – A connected condition monitoring application that facilitates collaboration between operations and maintenance organizations to determine the best course of action for equipment alert conditions.
  • Reservoir – A high performance, scalable, big data repository that captures, manages and synchronizes large volumes of time series, event and asset data from multiple sources.
  • Summit – A remote monitoring center application for monitoring, analyzing and benchmarking asset performance.

The purchase price of the transaction was $37M. Additional terms are disclosed in AspenTech’s Quarterly Report on Form 10-Q for the first quarter of Fiscal 2017 filed with the United States Securities and Exchange Commission.

Schneider Electric Adds to Asset Management Portfolio

Schneider Electric, the global specialist in energy management and automation, announced the acquisition of MaxEAM, a software company with complementary applications that extend Avantis.PRO Enterprise Asset Management. The acquisition further solidifies the portfolio and adds valuable domain expertise to Schneider Electric’s existing team.

Schneider Electric and MaxEAM have a long standing business relationship working together to deliver successful customer projects on a global scale. The acquisition gives customers a single point of contact for support and delivery services, and more closely aligns future product development.

“The strength of our asset management portfolio continues to grow, both organically and through acquisition. MaxEAM enhances the functionality of our Avantis.PRO offering, securing the investment our customers have made in our products,” said Rob McGreevy, Global Vice President, Software at Schneider Electric. “The addition of MaxEAM subject matter expertise and technology will allow us continued expansion of our industry-leading Enterprise APM platform.”

“Our advanced technology linked to mobile work execution streamlines processes, adding tremendous capabilities for mobile workers,” said Eric Stern, President of MaxEAM. “Schneider Electric’s Enterprise APM platform is the broadest in the market today. I’m excited that our people and technology will be an integral component to the overall offering.”

Two years ago Schneider Electric acquired InStep Software, adding advanced predictive analytics. That acquisition furthered its delivery of Enterprise APM solutions leveraging the Industrial IoT, helping to close the gap between IT and OT.

PAS Launches Process Safety Analytics Software

PAS Inc., the solution provider of process safety, cybersecurity, and asset reliability for the energy, power, and process industries announces the general availability of its newest product, PAS IPL Assurance. The software provides real-time predictive analytics on the health and availability of the safety instrumented systems (SIS), Alarm Management Systems, and other Independent Protection Layers (IPL). In addition to managing operational risk, IPL Assurance reduces compliance costs by automatically reporting on the SIS performance during a demand on the safety system.

PAS IPL Assurance delivers actionable information on safety instrumented systems, alarm systems, control loops, and operational boundaries to streamline compliance activities and expose operational risk. As a result, plant personnel can mitigate abnormal situations before they impact plant safety, reliability, and profitability.

IPL Assurance provides the following analytics, alert, and visualization features:

•    Safety instrumented function (SIF) performance management,

•    Testing and maintenance management,

•    Demand on safety system rate tracking,

•    Status of safety related alarms,

•    Safety system bypass management, and

•    Safety and operational risk dashboard.

“IPL Assurance provides up-to-date IPL lifecycle management so that operations can immediately ascertain the overall risk profile of any facility,” said Mark Carrigan, Senior Vice President of Global Operations at PAS. “This visibility from an automated single source of truth is essential to preventing critical safety incidents and supporting IEC and OSHA compliance requirements.”

Acquisitions And New Products Feature Predictive Technologies

GE, The Digital Thread, The Digital Twin, The Digital Company

UPDATED: Carpenter’s title changed after I wrote this. Also GE Intelligent Platforms is now called GE Digital.

GE now bills itself as the “digital industrial” company. It has realized the benefits of technologies such as the Watchdog Agent developed by the Center for Intelligent Maintenance Systems for monitoring and prognostics and the Industrial Internet of Things within its own manufacturing processes—especially aircraft engines.
Evidently it now all starts with the “digital thread.” To understand what was meant by this term, I was chatted with Rich Carpenter, Chief of Strategy Technology Strategist for GE Intelligent Platforms Digital.

I asked if this was essentially just a marketing term. “The digital thread is a way to describe a concept,” he told me. “People have become good at “leaning” out the manufacturing process. Now we are leaning out the entire new product introduction cycle. They are optimizing to the end of the path from design to engineering. Closing that loop and carrying forward to manufacturing.”

Companies have accumulated big data infrastructures, so they are also leaning out interactions between digital silos by managing the data flows. This enables remote diagnostics.

Carpenter also mentioned a process I’m beginning to hear around the industry. First you connect things—people, sensors, machines. Then you collect and analyze the data you get from the process. Finally given all this, you can begin to optimize the process.

Official word

Here is a definition from GE, “While the Industrial Internet may be unchartered territory to some manufacturers, early adopters are starting to understand the benefits of the ‘Digital Thread – a web of data created the second they initiated their Industrial Internet journey. The digital thread is the result of several advanced manufacturing initiatives from the past decade, creating a seamless flow of data between systems that were previously isolated.

“This data is essentially the manufacturing health record, which includes data from everything to operator logs to weather patterns, and can be added to as needed. For example, you could compile the digital threads across multiple plants to get a full understanding of the efficiency and health of particular processes and product lines. This record provides data context and correlations between downtimes and outside factors, allowing operators to be proactive in their maintenance strategies.”


I especially appreciate the term “manufacturing health record.” That’s a term Jay Lee at the IMS Center used often in the first phase of prognostics and the Watchdog Agent—a consortium that GE played an active part in.

Digital twin

We’ve heard of cyber-physical systems, and then Industry 4.0 which is a digital manufacturing model based upon it. Now we have a new term, “digital twin” which Carpenter says is a new way to describe a real world physical asset. Then, trying to optimize it, we’ll create a digital representation—a model based on statistics or physics. We run the model, then apply successes of the simulation in the real asset. Then feedback the information.

News release predictive analytics

GE held a conference in September that I could not attend. So, I talked with Rich Carpenter and some marketing people and obtained these press releases. These technologies and applications reveal where GE is heading as a Digital Industrial Company—and where it can take its customers, as well.

GE’s predictive analytics solution, SmartSignal, will be available as part of GE Digital’s Asset Performance Management (APM) solutions on the Predix platform, the purpose-built cloud platform for industry. SmartSignal powered by Predix will deliver anomaly detection with early warning capabilities that is SaaS-based and therefore at a lower cost and at a higher speed, making it accessible to a broader range of distributed equipment.

“Until now, advanced equipment monitoring and predictive anomaly detection capabilities have only been available to enterprises with significant resources, both in terms of machinery expertise and capital,” said Jeremiah Stone, General Manager, Industrial Data Intelligence Solutions for GE Digital. “Because of this, insight gained through predictive analytics has been limited to high value assets due to these cost and knowledge barriers.”

Companies see condition-based maintenance as a means to cut existing operations & maintenance costs. With SmartSignal powered by Predix, they will be able to capitalize on cloud and Big Data platforms to drive more efficient and productive operations.

“There is an unmet need in the industry for a cloud platform that supports the unique requirements of industrial data and operations,” said Harel Kodesh, Chief Technology Officer and Vice President & GM of Predix. “GE Predix is the first cloud platform to meet these demanding requirements. By leveraging GE’s deep domain expertise in information technology and operational technology, Predix provides a modern cloud architecture that is optimized for operational services like asset connectivity, managing and analyzing machine data, and industrial-grade security and regulatory compliance.”

Today, SmartSignal technology provides early warning detection for more than 15,000 critical assets in customer operations. According to May Millies, Manager of Power Generation Services, Salt River Project, “SmartSignal has us listening to the right data and using that data to impact our work operations.” Salt River Project provides reliable, reasonably priced electricity and water to more than two million people in Central Arizona. Integrating data to improve visibility into operations was a key to maintaining their standing with customers. “Now that we have realized the incredible performance of the software and how strong and robust it is, we are improving asset utilization across the enterprise.”

Brilliant manufacturing

In a second announcement, GE announced the next version of its Brilliant Manufacturing Suite. Field-tested and optimized within GE’s own factories, the suite maximizes manufacturing production performance through advanced real-time analytics to enable all manufacturers to realize GE’s Brilliant Factory vision.

“Today’s demands on manufacturers are driving an unprecedented rate of change, innovation and agility,” said Jennifer Bennett, General Manager for GE Digital’s Manufacturing Software initiatives. “Manufacturers are challenged to decide what to build, how to build it, where and when to build it, and how to efficiently maintain it. We believe that the key to optimizing the full product life cycle from design to service is through analytics of data that has been traditionally locked inside corporate silos.”

GE’s Brilliant Manufacturing Suite allows customers to begin to realize their own vision of a Brilliant Factory. Integrating and aggregating data from design to service and leveraging analytics to support optimal decision-making allows manufacturers to drive improvements in end-to-end production. Analyzing data in context and providing the right information at the right time allows for better decision support throughout the manufacturing process. Data-driven analytics encompassing machines, material, people and process will transform the factories of today into Brilliant Factories.

GE’s next generation Brilliant Manufacturing Suite includes:

  • OEE Performance Analyzer – available for early access today, it transforms real-time machine data into actionable production efficiency metrics so that Plant Managers can reduce unplanned downtime, maximize yield and increase equipment utilization.
  • Production Execution Supervisor – digitizes orders, process steps, instructions and documentation with information pulled directly from ERP and PLM systems. Factories are able to ship higher quality products and deliver new product introductions faster by getting the right information in the right hands to focus on the highest priority manufacturing tasks.
  • Production Quality Analyzer – real-time identification of quality data boundaries that catch non-conforming events before they occur. Quality engineers can analyze this information to identify patterns and trends that enable factories to ship higher quality products faster.
  • Product Genealogy Manager – builds a record of all personnel, equipment, raw materials, sub-assemblies and tools used to produce finished goods. Service personnel can respond to customer and regulatory inquiries with confidence, knowing who, what, when, where and how for an individual shipment.
Acquisitions And New Products Feature Predictive Technologies

Cloud Service For Internet of Things Ecosystem

The Internet of Things can best be thought of as an ecosystem of interrelated parts. There are smart devices on the edge packed with connectivity, memory, processing power, and sensing ability. Networks connect the devices with each other and with controllers, servers, PCs, and mobile devices. Databases store the data in such a way as to enhance retrieval.

Speaking of databases, these days they can reside in all sorts of places. The “cloud” is a perfect place. Actually cloud is a misnomer. It just means there’s a server somewhere. All you really care is that the server is secure, accessible, and backed up.

Amazon showed us with AWS a business model for selling cloud services. Google, Microsoft, and others also have developed businesses around cloud services. It was only a matter of time for a specific cloud service for industrial applications.

Enter GE Predix Cloud

GE has announced plans to enter the cloud services market with Predix Cloud. The world’s first and only cloud solution designed specifically for industrial data and analytics, this platform-as-a-service (PaaS) will capture and analyze the unique volume, velocity and variety of machine data within a highly secure, industrial-strength cloud environment.

Predix Cloud will drive the next phase of growth for the Industrial Internet and enable developers to rapidly create, deploy and manage applications and services for industry. With $4B in software revenues in 2014 and projected software revenues of $6B in 2015, GE continues to grow its investment in software.

“Cloud computing has enabled incredible innovation across the consumer world. With Predix Cloud, GE is providing a new level of service and results across the industrial world,” said Jeffrey Immelt, CEO of GE. “A more digital hospital means better, faster healthcare. A more digital manufacturing plant means more products are made faster. A more digital oil company means better asset management and more productivity at every well. We look forward to partnering with our customers to develop customized solutions that will help transform their business.”

Predix Cloud will enable operators to use machine data faster and more efficiently, saving billions of dollars annually. By combining GE’s deep domain expertise in information technology (IT) and operational technology (OT), GE’s Predix Cloud will deliver advanced tools like asset connectivity, machine data support and industrial-grade security and compliance.

“A cloud built exclusively to capture and analyze machine data will make unforeseen problems and missed opportunities increasingly a complication of the past,” said Harel Kodesh, Vice President, General Manager of Predix at GE Software. “GE’s Predix Cloud will unlock an industrial app economy that delivers more value to machines, fleets and factories – and enable a thriving developer community to collaborate and rapidly deploy industrial applications in a highly protected environment.”

“Like GE, Pitney Bowes is in the midst of its own physical and digital transformation,” added Roger Pilc, Chief Innovation Officer, Pitney Bowes. “With our APM apps running on Predix Cloud, we’re able to extract and analyze data from our assets faster than ever, and use that insight to drive real business outcomes for Pitney Bowes and its clients, including lower operational costs, greater productivity and output and higher service levels. GE knows industrial machines and related data analytics better than anyone, and we look forward to continuing to partner with them on more Industrial Internet solutions.”

The Industrial Internet is generating data twice as quickly as any other sector. With investment in infrastructure expected to top $60 trillion over the next 15 years, the number of devices connected to the Internet will continue to swell, generating an unprecedented collection of data and analytics. Built for Predix, the cloud platform for the Industrial Internet, Predix Cloud is designed to provide a highly secure infrastructure for this next phase of growth, which will generate a new level of insight, asset performance management (APM) capabilities and innovation in the developer community.

The success of the Industrial Internet depends on a collaborative ecosystem of partners. GE’s Predix Cloud is purpose-built from the ground up, but it will also run on other cloud fabrics if required by a customer. Predix Cloud uses Pivotal’s Cloud Foundry to help with application development, deployment and operations.

GE businesses will begin migrating their software and analytics to the Predix Cloud in Q4 2015, and the service will be commercially available to customers and other industrial businesses for managing data and applications on Predix Cloud in 2016.

Specific Features

  • Asset Connectivity: Analysts estimate that more than 50 billion assets will be connected to the Internet by 2020. Predix Cloud provides advanced connectivity-as-a-service for these industrial assets, combining proprietary technologies with global telecommunications partners to enable rapid provisioning of sensors, gateways and software-defined machines.
  • Scalability for Machine Data: Machines produce different types of data, which consumer cloud services are not built to handle. Predix Cloud was purpose-built to store, analyze, and manage machine data in real time. From capturing and analyzing time series data from a locomotive with thousands of sensors to delivering large object data like a 3D MRI image to a doctor for diagnosis, Predix Cloud is built for the variety, volume, and velocity of industrial data.
  • Security + Compliance: Incorporating decades of experience in operational security and information security, Predix Cloud is designed with the most advanced security protocols available, including customized, adaptive security solutions for industrial operators and developers.
  • Governance: Leveraging GE’s global network and deep expertise across more than 60 regulatory areas, Predix Cloud is designed to streamline governance and drive down compliance costs for each individual user, while respecting national data sovereignty regulations globally. This enables GE, partners, and developers to more easily build and deploy services for highly regulated industries such as aviation, energy, healthcare and transportation.
  • Interoperability: Predix Cloud will operate seamlessly with applications and services running in a broad spectrum of cloud environments. As such, businesses will be able to take advantage of its optimized security and data structure offerings while maintaining and interoperating within existing solutions.
  • Gated Community: Unlike public cloud services, which are open to any individual or organization, Predix Cloud is based on a “gated community” model to ensure that tenants of the cloud belong to the industrial ecosystem.
  • Developer Insight: Developers will have visibility into their operating environments and every actor connected to it. In doing so, businesses will be able to deploy and monitor machine apps anywhere, continuously adjusting to new demands in the physical and digital world while providing the security and visibility required for operational effectiveness.
  • On-Demand Availability: Businesses will be able to easily access and scale with the Predix Cloud, which will be offered through a convenient on-demand, pay-as-you-go pricing model.