{"id":642,"date":"2017-08-16T16:32:44","date_gmt":"2017-08-16T09:32:44","guid":{"rendered":"https:\/\/simenteknindo.com\/news\/?p=642"},"modified":"2017-08-16T16:32:44","modified_gmt":"2017-08-16T09:32:44","slug":"platforms-and-the-industrial-technology-future","status":"publish","type":"post","link":"https:\/\/simenteknindo.com\/news\/platforms-and-the-industrial-technology-future\/","title":{"rendered":"Platforms and the Industrial Technology Future"},"content":{"rendered":"
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If there is one trend in industrial technology that highlights the emerging connection between operations technology (OT) and information technology (IT) it’s industrial technology suppliers\u2019 increasing focus on open software platforms . Examples include Schneider Electric\u2019s EcoStruxure, Festo\u2019s CPX Modular Control Platform, Wind River\u2019s Titanium Control, and GE Digital\u2019s Predix.<\/p>\n

During a meeting with GE Digital in its San Ramon, Calif., headquarters I got a look into where Predix is currently at and where it\u2019s going. For GE Digital, Predix is the nexus where app engines, digital twins, machine learning and asset performance management meet.<\/p>\n

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\u201cPlatforms are where tech is going,\u201d said Gytis Barzdukas, head of product management for Predix at GE Digital. \u201cLike Apple, Amazon, Microsoft and Alphabet have their platforms in the consumer space, we want to do the same thing in industrial space. That\u2019s why Predix is an open platform with regulated participation. Predix has been developed as a common data layer into which third-party supplier products can plug into.\u201d<\/p>\n

Explaining his use of the term \u201cregulated participation,\u201d Barzdukas said, \u201cwe go to market in partnership with third-party vendors.\u201d He added that announcements are forthcoming that will be highlighted by the appearance of \u201cmultiple business intelligence vendors\u2019 products on the Predix platform.\u201d<\/p>\n

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Within GE itself, Barzdukas noted that GE Digital is working closely with GE Automation and Controls to ensure all its products work on Predix.<\/p>\n

Much of the initial press around the Predix has focused on its cloud-based operations, but Barzdukas was quick to point out that Predix can run operate at the edge, in the cloud or in hybrid applications.<\/p>\n

Describing Predix\u2019s edge computing capabilities, Barzdukas noted that Predix Machine\u2014a part of Predix that enables the development, deployment and management of applications on embedded hardware connected to physical machines\u2014is \u201ca software stack that can run edge analytics and manage data movement between the edge and the cloud. GE Digital also offers Edge Manager, a visualization tool that can be used to manage assets in any environment.\u201d<\/p>\n

To highlight Edge Manager\u2019s capabilities beyond standard industrial production environments, Barzdukas pointed out that Schindler Elevators uses Edge Manager to manage and monitor its elevator installations around the world.<\/p>\n

Explaining the growing necessity for hybrid edge\/cloud capabilities in industry, Barzdukas used GE\u2019s own manufacturing assets as an example. \u201cGE machines generate 350 terabytes of data an hour; eventually some of it has to go to the cloud for analysis.\u201d<\/p>\n

Addressing cybersecurity concerns around the transmission and storage of such data in the cloud, Barzdukas said Predix currently uses public key encryption and is moving toward inclusion of private key capabilities for users who want it. Predix\u2019s public key encryption security operates in addition to the security provided by Amazon Web Services on which Predix\u2019s cloud functions run. Barzdukas added that Predix will also soon be running on Microsoft Azure.<\/p>\n

App Creation<\/strong>
\nIn November 2016, GE Digital announced its acquisition of BitStew, which has since been incorporated into the Predix platform to power Predix Studio\u2014an app development engine that enables users to create the apps they need without the need for programming expertise. The term GE Digital uses to describe a user who lacks programming knowledge but can still develop applications with the help of technology is \u201ccitizen developer.\u201d<\/p>\n

In a demonstration to illustrate how users can access asset status information, Mike Varney, vice president, product management at GE Digital, showed how GE Digital\u2019s Data Management Workbench, which is a component of Predix Studio, can be used to gather data to populate an asset status app. The Data Management Workbench shows available data sources on the network and, as those data sources are selected, it scans their data and presents the information in way that users can understand. It then goes a step further to make the connections between those data sources and validate them.<\/p>\n

User can then see and understand how each data source is connected and the potential impacts of changes across the system created by changes made to any one data source, said Varney. \u201cThe Data Management Workbench creates a model of the data\u2014internal, external and disparate (such as data from multiple sources like weather information, operational data, GIS data, etc.)\u2014for classification and relation. That information can then be brought into Predix Studio so that the citizen developer does not have to do all the mapping of the data.\u201d<\/p>\n

Barzdukas added that GE Digital\u2019s acquisition of IQP in July of 2017 delivers a code-free application development environment that will bring drag-and-drop capabilities to Predix Studio to make working with the Data Management Workbench \u201cmore intuitive for the citizen developer.\u201d<\/p>\n

Varney added that, in October 2017, GE Digital will release Predix App Engine, which runs on Predix Studio\u2014which can be used to build dashboards or extend apps.<\/p>\n

Marc-Thomas Schmidt, Predix Chief Architect at GE Digital, pointed out that digital twins\u00a0will be a key data source used by apps created in Predix Studio because the digital twin holds the \u201cpast, present and future information about the asset.\u201d<\/p>\n

Schmidt explained this by noting that a digital twin provides a contextual overview of all the collected data from an asset, i.e., its past; key performance indicators which give information about an asset\u2019s present state; and, via predictive capabilities, a glimpse into the asset\u2019s future.<\/p>\n

Machine Learning<\/strong>
\nArtificial Intelligence (AI) will also play an important role in users\u2019 experience with Predix in the not-too-distant future, according to Jeff Erhardt, CEO of Wise.io, who came to GE Digital via its acquisition of Wise.io last November, during the same time frame in which GE Digital acquired BitStew.<\/p>\n

\u201cAI should blend seamlessly into apps,\u201d said Erhardt, \u201cthat\u2019s why we focus on teaching computers to think like humans based on actions that have been taken in the past. That way we can mimic decision roles within an app.\u201d<\/p>\n

Looking at what Erhardt calls the \u201cvalue chain of intelligent systems,\u201d he notes four components: computing power, algorithms, unique data and domain expertise. Computing power and algorithms have long been the constraint in AI applications\u2014algorithms, in particular, because of their complexity, he said. \u201cBut that\u2019s no longer the case because these technologies have been largely commoditized.\u201d<\/p>\n

Echoing Eddie Amos\u2019 comments about the nexus of technology and domain expertise at the core of GE Digital\u2019s recently updated APM software suite, Erhardt pointed out that the commoditization of computing power and algorithms is now \u201cbringing the interaction between data and expertise to the forefront of AI research and value creation. This is my area of focus for Predix.\u201d<\/p>\n

As an illustration of this, Erhardt highlighted the work GE is doing with oil and gas industry \u201cpigging,\u201d which refers to the industry practice of using devices known as “pigs” to perform various maintenance operations\u2014including inspection\u2014without stopping the flow of product in the pipeline. Using these \u201cpigs,\u201d Erhardt said that GE has inspected a million miles of pipeline, but with all the data generated, it takes six months to create a report because humans still have to sort through all that data.<\/p>\n

\u201cPeople have to examine all this data to determine, for example, what\u2019s a weld and what\u2019s a crack,\u201d Erhardt said. \u201cTheir ability to do this is based on their domain expertise. By applying AI in the form of machine learning, based on how humans analyze the data, we can now generate these reports much faster\u2014reducing the time to produce these reports from days to hours.\u201d<\/p>\n

Explaining the role of Predix in this kind of application, Erhardt said that attempting to address this problem across industry is \u201cunsolvable if you try to do it one customer at a time. But with the Predix platform, we can pull the signal out of the noise and create a workflow for these inspections. We can standardize and transfer embedded learning to similar applications across a company.\u201d<\/p>\n

Erhardt noted that, though AI and machine learning are being widely applied by companies across the technology spectrum, GE is focusing on industrial applications such as pipeline inspection because \u201cwe can see how this applies across our fleets of industrial assets. That is why GE is doing this and not Google.\u201d<\/p>\n

Summarizing the myriad ongoing developments with Predix, Barzdukas said, \u201cWe\u2019re trying to democratize these tools. We want to standardize them and make them more accessible. That\u2019s why we\u2019re using many different open source technologies within Predix. It\u2019s an open environment that anyone can join.\u201d<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

If there is one trend in industrial technology that highlights […]<\/p>\n","protected":false},"author":1,"featured_media":643,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13,9],"tags":[],"yoast_head":"\nPlatforms and the Industrial Technology Future - SIMENTEK News<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/simenteknindo.com\/news\/platforms-and-the-industrial-technology-future\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Platforms and the Industrial Technology Future - SIMENTEK News\" \/>\n<meta property=\"og:description\" content=\"If there is one trend in industrial technology that highlights […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/simenteknindo.com\/news\/platforms-and-the-industrial-technology-future\/\" \/>\n<meta property=\"og:site_name\" content=\"SIMENTEK News\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/PtSimenteknindo\/\" \/>\n<meta property=\"article:published_time\" content=\"2017-08-16T09:32:44+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/simenteknindo.com\/news\/wp-content\/uploads\/2017\/08\/gepredixplatform.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"638\" \/>\n\t<meta property=\"og:image:height\" content=\"359\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Wimpy\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@simenteknindo\" \/>\n<meta name=\"twitter:site\" content=\"@simenteknindo\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Wimpy\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/simenteknindo.com\/news\/platforms-and-the-industrial-technology-future\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/simenteknindo.com\/news\/platforms-and-the-industrial-technology-future\/\"},\"author\":{\"name\":\"Wimpy\",\"@id\":\"https:\/\/simenteknindo.com\/news\/#\/schema\/person\/524d37c7e448b5855c7499cd6356fa3e\"},\"headline\":\"Platforms and the Industrial Technology Future\",\"datePublished\":\"2017-08-16T09:32:44+00:00\",\"dateModified\":\"2017-08-16T09:32:44+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/simenteknindo.com\/news\/platforms-and-the-industrial-technology-future\/\"},\"wordCount\":1428,\"publisher\":{\"@id\":\"https:\/\/simenteknindo.com\/news\/#organization\"},\"image\":{\"@id\":\"https:\/\/simenteknindo.com\/news\/platforms-and-the-industrial-technology-future\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/simenteknindo.com\/news\/wp-content\/uploads\/2017\/08\/gepredixplatform.jpeg\",\"articleSection\":[\"Industry News\",\"Tech News\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/simenteknindo.com\/news\/platforms-and-the-industrial-technology-future\/\",\"url\":\"https:\/\/simenteknindo.com\/news\/platforms-and-the-industrial-technology-future\/\",\"name\":\"Platforms and the Industrial Technology Future - 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