Have you been wondering about GE Digital and such products as Predix Asset Performance Management since the announcements of the new GE CEO reducing the group and throwing it into turmoil?
Well, just when I realized I had not heard anything for a while, this press release appeared. I don’t usually write about the announcements that come daily about sales “wins” or about success stories. But I felt this was significant in that it was news that GE Digital is still out there and that here is a user that is not a GE company. Also it reflects a trend of collaboration among companies. Plus another trend—one of the original hopes for the Industrial Internet of Things, that is, adding ability for OEMs to monitor their equipment at the customer’s site and provide service and support.
Here, GE Digital and SIG, a leading provider of packaging systems and solutions for the food and beverage industry, announced a strategic partnership to power digital innovation in food and beverage packaging.
SIG will deploy GE Digital’s PredixAsset Performance Management (APM) and Predix ServiceMax industrial applications across more than 400 customer factories worldwide to drive new levels of efficiency, create intelligent solutions and enable new possibilities for its customers.
The food and beverage industry is ripe for digital transformation, with consumers increasingly seeking innovative, convenient products that are not only safe and sustainable but also affordable and differentiated. At the same time, producers are facing competitive pressures, supply chain complexities and ever-shorter production cycles – creating an increased need for technologies that can enable producers to quickly identify, predict and act on changing consumer and market demands.
The unique combination of GE Digital’s APM and ServiceMax applications will enable SIG to build an end-to-end digital platform that will bring a new level of insight and data-driven intelligence to its customers worldwide – helping them and SIG transform how they predict, manage and service the entire lifecycle of SIG filling lines. By automatically collecting and analyzing asset data – tapping into billions of data points across its operations globally in real time – SIG and their customers can move beyond traditional asset monitoring and predictive service models to reimagine their supply chain, enhance quality control technologies and evolve their portfolio mix.
“Our ability to harness data is central to delivering on our promise of opening up new opportunities for our customers,” said Rolf Stangl, SIG, CEO. “By tapping into information in new and innovative ways, we will be able to deliver an unmatched level of performance, security, transparency and creativity across the entire food and beverage supply chain – through to the end consumer.”
SIG’s customers fill more than 10,000 unique products into SIG packaging across 65 countries worldwide. In 2017 alone, SIG produced 33.6 billion carton packs for its customers. Through this large-scale partnership, SIG and GE Digital will co-innovate packaging solutions and technologies to address the industry’s two biggest needs today: improving asset performance and optimizing service delivery.
The new digital service model will also enable SIG to deliver new solutions and business models based on advanced performance metrics, including as-a-service delivery, performance-based and subscription solutions.
The initial deployment is expected to go live in July 2018 with the global rollout anticipated to begin in January 2019.
NI Week was last week, and for only the second time in 20 years, I didn’t go. NI, formerly National Instruments, has been focusing more on test and measurement lately. Not so much automation. My interest is mostly on its IoT efforts especially TSN. I figure I can get an interview with Todd Walter or whomever without the expense of a conference.
NI’s core competency lies as the provider of a software-defined platform that helps accelerate the development and performance of automated test and automated measurement systems. At NI Week it announced the release of LabVIEW 2018.
Applications that impact our daily lives are increasing in complexity due to the rapid innovation brought on by industry trends such as 5G, the Industrial Internet of Things, and autonomous vehicles. Consequently, the challenge of testing these devices to ensure reliability, quality and safety introduce new demands and test configurations, with decreased time and budget. Engineers need better tools to organize, develop and integrate systems so they can accomplish their goals within the acceptable boundaries.
Engineers can use LabVIEW 2018 to address a multitude of these challenges. They can integrate more third-party IP from tools like Python to make the most of the strengths of each package or existing IP from their stakeholders. Test engineers can use new functionality in LabVIEW 2018 to strengthen code reliability by automating the building and execution of software through integration with open interface tools like Jenkins for continuous delivery. Capabilities like this empower test engineers to focus on system integration and development where they can offer unique differentiation, rather than get bogged down in the semantics of how to use software tools or move IP from one to another. For test engineers using FPGAs for high-performance processing, new deep learning functions and improved floating-point operations can reduce time to market.
“NI’s continued commitment to its software-centric platform accelerates my productivity so I can focus on the challenges that yield the highest ROIs,” says Chris Cilino, LabVIEW framework architect at Cirrus Logic. “LabVIEW continues to minimize the effort of adding tests and code modifications to our validation framework, delivering a consistent process to maintain our software and incorporate the reuse of valuable IP without rewrites.”
To meet demands like testing higher complexity DUTs and shorter timeframes, engineers need tools tailored to their needs that they can efficiently use through their workflow, helping them to meet their exact application requirements. LabVIEW 2018 is the latest addition to NI’s software-centric platform that features products tailored to needs within distinct stages of their workflow – products that have been adopted in whole or in part by more than 300,000 active users.
With InstrumentStudio software providing an interactive multi-instrument experience, TestStand test management software handling overall execution and reporting and SystemLink software managing assets and software deployments, this workflow improves the productivity of test and validation labs across many industries. Each piece of the workflow is also interoperable with third-party software to maximize code and IP reuse and draws on the LabVIEW Tools Network ecosystem of add-ons and tools for more application-specific requirements.
Engineers can access both LabVIEW 2018 and LabVIEW NXG with a single purchase of LabVIEW.
Hannover Messe was the place to learn the latest about all things digital—digital twin, Industry 4.0, Industrial Internet of Things (IIoT). SAP was one of the many stops in my itinerary advancing the trend.
My contact at the SAP booth at Hannover wasn’t around when I arrived for my appointment, so I left—only to get a text a half-hour later that he had arrived. But I was off to another appointment by then. However I did glean this information from the company at and following the show.
SAP enters the digital twin era
SAP SE has introduced SAP S/4HANA Cloud for intelligent product design, a new solution for collaborative research and development.
The solution, which is built on SAP Cloud Platform using SAP’s latest digital twin technology, is one of the building blocks for a network of digital twins to enable new business models.
Powered by SAP Leonardo and integrated with business processes in the digital core, SAP S/4HANA Cloud for intelligent product design enables customers to accelerate product design and development with requirement-driven systems engineering and instant collaboration across an extended network of suppliers and partners.
“The solution provides shared views of digital twin information for customers to gain live insights on new products and to store, share and review engineering documents with internal and external participants,” said Bernd Leukert, Member of the Executive Board of SAP SE, Products & Innovation.
SAP’s network of digital twins synchronizes the virtual, physical, conditional, and commercial definitions of assets and products in real time to accelerate innovation, optimize operating performance, predict service requirements, improve diagnostics and enhance decision-making. It enables new levels of collaboration among manufacturers of products, operators of assets, suppliers and service companies. The approach combines digital twins with manufacturing solutions from SAP, cloud networks and SAP Leonardo capabilities, including machine learning, blockchain and Internet of Things (IoT), to optimize the product lifecycle with:
• Digital representation: SAP synchronizes digital twin business data, product information, asset master data and IoT-connected data from both on-premise and cloud solutions enabling companies to represent the world digitally. Solutions including SAP Predictive Engineering Insights, SAP Predictive Maintenance and Service and the SAP 3D Visual Enterprise applications provide access to rich data processing capabilities and live configuration, state, condition and control information.
• Business process: Rich enterprise-grade data processing capabilities allow customers to create, access and update digital twins to support business processes. SAP solutions provide an integrated data model from design, production and maintenance to service, including packaged integration to existing systems for computer-aided design, ERP, and product lifecycle management. Offerings providing end-to-end process support for manufacturers and operators include SAP S/4HANA, the SAP Engineering Control Center integration tool, SAP Hybris Service Cloud solutions, and the SAP Manufacturing Integration and Intelligence and SAP Manufacturing Execution applications.
• Business networks: With leading network offerings such as SAP Ariba solutions, SAP Asset Intelligence Network, and the SAP Distributed Manufacturing application, SAP is uniquely positioned to provide a virtual platform for collaboration on products and assets. The network of digital twins enables secure data access, sharing and governance on a global scale.
• Networks of digital representation: SAP enables twin-to-twin connections in systems within a specific asset and on an asset-to-asset level. SAP solutions such as SAP Asset Intelligence Network provide semantic and industry-standards support in an asset core modeling environment to enable live enrichment during the product or asset lifecycle.
Digital Manufacturing Cloud
SAP Digital Manufacturing Cloud helps companies optimize performance, elevate production quality and efficiency, and ensure worker safety.
Drawing on SAP’s expertise in the Industrial Internet of Things (IIoT), predictive analytics and supply networks, the solution enables manufacturers to deploy Industry 4.0 technologies in the cloud.
The new cloud solution extends and complements the digital manufacturing portfolio of on-premise solutions from SAP and is available in different bundles to serve manufacturers of varying sizes in both discrete and process industries and roles within their respective organizations.
SAP customers can choose from the SAP Digital Manufacturing Cloud solution for execution, which provides all solutions in the manufacturing cloud portfolio, or the SAP Digital Manufacturing Cloud solution for insights, which focuses on performance management and predictive quality.
“Manufacturers in the era of Industry 4.0 require solutions that are intelligent, networked and predictive,” said Leukert. “Our manufacturing cloud solutions help customers take advantage of the Industrial Internet of Things by connecting equipment, people and operations across the extended digital supply chain and tightly integrating manufacturing with business operations.”
SAP Digital Manufacturing Cloud includes the following:
• SAP Digital Manufacturing Cloud for execution: Industry0-enabled shop floor solution features “lot size one” and paperless production capabilities. It integrates business systems with the shop floor, allowing for complete component and material-level visibility for single and global installations.
• SAP Digital Manufacturing Cloud for insights: Centralized, data-driven performance management enables key stakeholders to achieve best-in-class manufacturing performance and operations.
• Predictive quality: This helps manufacturers gain valuable insights to conform to specifications across processes and streamline quality management. It also allows manufacturers to apply predictive algorithms that can reduce losses from defects, deficiencies or variations, and recommend corrective actions.
• Manufacturing network: The network provides a cloud-based collaborative platform integrated with SAP Ariba solutions connecting customers with manufacturing service providers, such as suppliers of 3D and computer numerical control (CNC) printing services, material providers, original equipment manufacturers (OEM) and technical certification companies.
Also at Hannover Messe 2018, SAP announced SAP Connected Worker Safety, a solution designed to reduce risks, costs and protect employees. Information from wearables and other sensor-enabled equipment can help companies react immediately to a hazardous situation or incident while proactively managing worker fatigue and other hazard inducers. Real-time information allows monitoring of compliance at all times against regulatory and other parameters.
The Internet of Things ecosystem is changing computing in almost a seismic shift. But like geology, it builds up over time and then the event happens before you know it.
We had centralized, on-site computing revolutionized by PCs. We networked PCs and wound up with centralized computing in the cloud. Demands from building the Internet of Things (or Industrial Internet of Things for us manufacturing and production geeks) expose the flaws of cloud computing. The next hot thing—edge.
Yesterday the CEO/co-founder of Zededa talked with me about the computing platform his company is building with no less a mission than to build the largest computing company on Earth without owning infrastructure. Its vision—create a new edge economy that allows applications to run anywhere.
Some of what follows may sound familiar. I’ve talked with many companies doing a piece of what Zededa has laid out, but none are as audacious as this.
In brief, Zedeta…
- Closes $3.06M in Seed Funding
- Pioneering a secure, cloud-native approach to real-time edge applications at hyperscale for solutions ranging from self-driving cars to industrial robots
- Built a team comprised of distinguished engineers from top tech companies in cloud, networking and open source to solve the edge computing puzzle and disrupt the status quo
- Seed round was led by Wild West Capital; other investors include Almaz Capital, Barton Capital and Industry Veteran Ed Zander, former CEO of Motorola and former COO of Sun Microsystems
“Tomorrow’s edge computing environment that enables digital transformation will be distributed, autonomous and cooperative. The edge is complex and not only has to scale out securely, but simultaneously must become friendlier for app developers. That’s the problem we are solving at ZEDEDA,” stated ZEDEDA CEO and Co-Founder Said Ouissal. “It will require a drastic shift from today’s embedded computing mindset to a more secure-by-design, cloud-native approach that unlocks the power of millions of cloud app developers and allows them to digitize the physical world as billions of ‘things’ become smart and connected.”
ZEDEDA will use the funding for continued research and product development, investment in community open-source projects for edge computing as well as further investment in sales and marketing initiatives. ZEDEDA investors include Wild West Capital and Almaz Capital, whose funding was part of a broader group investors, some of whom also invested in IoT/edge companies Theatro and Sensity Systems (now Verizon).
In the coming wave of pervasive computing, real-time apps, cyber-physical systems and data services such as machine learning and analytics will become commonplace. ZEDEDA envisions an open ecosystem and a completely new technology stack that creates a service fabric essential to achieving the hyperscale that will be required in edge computing.
To realize that goal, ZEDEDA has pulled together a distinguished roster of industry veterans from legendary technology companies with expertise in areas of operating systems, virtualization, networking, security, blockchain, cloud and application platforms. This unique blend of skills combines with the team’s deep connections to core open-source projects and standardization bodies. The team’s work has directly contributed to software and system patents as well as industry standards used by billions of people around the world today.
“A new paradigm and massive innovation is needed to meet demand for IoT and edge computing,” said Kevin DeNuccio, Founder of Wild West Capital and ZEDEDA’s lead investor. “Massive shifts in technology, including the proliferation of IoT, paves the way for industry disruption, which large incumbents tend to inhibit. Disruption takes a combination of an entrepreneurial team with a very unique set of collective experience, groundbreaking ideas, and the ability to garner immediate traction with global industrial leaders, who can transform their business with machine learning and artificial intelligence delivered by the Edge connected IoT world. ZEDEDA is simply one of the most promising edge computing startups out there.”
“Operations Technology teams face major challenges when it comes to fully realizing the advantages of an IoT world. Their worlds are becoming massively connected systems dealing with virtualization, networking and security,” stated Christian Renaud, Research Director, IoT at 451 Research. “Our recent research shows that while OT teams have the application plans for leveraging IoT, the vast majority of organizations’ IT resources and capabilities are maxed out. This leaves open the question of how these edge applications and IoT will scale out without compromising security or taxing resources even further in the future.”
Ouissal told me, “Edge is the next big wave, bigger than cloud, simply because of the sheer size of the number of devices. The goal is ubiquitous compute where applications want to interact real-time. The problem with the cloud is that it’s centralized. This ecosystem is truly Cyberphysical—just like your Industry 4.0.”
The current IoT model of sending all data to the cloud for processing, won’t scale due to:
- Privacy issues
Three problems that the company is attacking:
1. Moving apps now running in the cloud to the edge
2. Edge-to-edge communication, key for autonomous systems, peer-to-peer
3. Security, cloud requires cyber security, but at the edge we must add physical security—someone could walk in and carry out an intelligent device
Ouissal often mentioned the need to rethink management of the edge. There exists a big difference between managing cloud and edge. Zedeta is tacking the variety of management challenges for updating and managing thousands to millions of embedded devices.
Solutions the team are developing include:
1. Security-built on platform, use keys, trusted, health check with every plug in, embedded virtualization
2. management-virtualization->can run multiple sessions on a device, eg robot motion on one session and analytics on another all on same embedded system, can scale this to millions of devices
3. Networking-monitor, watch lists, anomaly detection, analyze why, VPN architecture
This is all fascinating. I can’t wait to talk with competitors and potential competitors in a couple of weeks in Hannover and during some upcoming trips to get responses.
Building upon interest and momentum from his last book, “Building the Internet of Things”, Maciej Kranzthe New York Times bestselling author and vice president of strategic innovation at Cisco, announced the release of “Building the Internet of Things: A Project Workbook.” The interactive companion to that book provides readers with a proven, step-by-step roadmap and considerations before, during and after launching a first or next IoT project.
I interviewed Kranz and reviewed his book in January 2017. In the review, I noted, “He told me that he wants people to understand the changes coming due to the IIoT and make the book practical and helpful. He succeeded in that goal. The book contains many examples of Industrial Internet of Things in practice along with practical leadership and implementation advice. While there is some technical discussion, this is not a book for engineering rather it is targeted to line of business leaders, people who solve business problems, and IT leaders as well as engineering leadership.”
In a follow up interview on this book and the state of the Internet of Things in general, Maciej told me, “The goal of book is to demystify IoT. It targets first line managers who asked for practical advice and help actually scoping and implementing IoT projects. People said in feedback from the first book, ‘you convinced me, now what do I do?’ This is a workbook, a guide. The purpose is to make sure they think through the process.
Through a series of instructional checklists, scores, questions, an ROI calculator <http://www.maciejkranz.com/roicalculator/> and first-hand guidance from Kranz, readers across industries can identify their organization’s IoT opportunities, evaluate their IoT readiness, create and implement a proven plan that incorporates the right people, processes and technologies.
Upon completion of their IoT project, readers will be able to accurately assess results, measure value, set benchmarks and apply lessons learned to their next IoT initiative. The “Building the Internet of Things” companion workbook is ideal for frontline business, operational and technical leaders, line-of-business influencers and decision makers at all levels of any organization eager to take advantage of IoT technologies.
A supporting quote from someone else whom I’ve often interviewed, “We’re thrilled that IoT pioneer Maciej Kranz has followed up on his first book, ‘Building the Internet of Things,’ with this related workbook. The workbook’s pragmatic and usable methodology filled with valuable resources and considerations will be invaluable for anyone charged with rolling out an IoT project. From a scheme to score your company’s IoT readiness, to an ROI calculator and methods to measure success, this workbook can make a difference in the outcome of your IoT operations.” – Sujeet Chand, SVP and chief technology officer, Rockwell Automation
The workbook draws on Kranz’s more than two decades of pioneering, hands-on experience and research connecting technologies with networks for industrial applications before IoT became a buzzword. Kranz’s workbook will be used as the basis for curricula and courses developed by Elephant Scale <http://elephantscale.com/>, specializing in corporate training and educational courses on IoT, big data, data analytics and machine learning.