People and Data—the Most Important Assets

This week I attended the AVEVA World customer conference sitting on my patio with a bank of computers on the table. It’s always nice to catch up with the latest from technology suppliers, even if we couldn’t meet in person and have all those informative hallway conversations.

Next week I’ll be attending three conferences, something that would have been a physical impossibility only a few months ago. Looks like all of my anticipated conference trips have been cancelled until November.

I must begin with a note regarding the AVEVA/Schneider Electric relationship. If you go back a few years, Schneider Electric made a rather large and significant acquisition. It kept the Foxboro and Triconex (and a few other) brands and used the software parts—Wonderware and Avantis and some others—as an investment into an engineering software company called AVEVA. As a result, Schneider Electric owns just over a majority of the shares in the publicly traded software company. And, therefore, Schneider Electric played a significant minor role in this conference.

Schneider’s chairman and CEO, Jean-Pascal Tricoire, said, “AVEVA should be agnostic. Our customers don’t have just one system but have the problem of integrating the complexity of having more than one system. AVEVA is completely open. We are independent companies working closely with each other.”

Craig Hayman, CEO of AVEVA, noted during his keynote address, “We’ve pivoted to emphasize digital. We recognize that people and data are the two most important assets. We do this technology in order to make people successful. Businesses have the great responsibility to protect employees and customers. We’re seeing the power of data and analytics helping companies respond to incidents as they occur and operate assets as efficiently as possible.” Indeed, digital, data, and people were the keywords of the event.

In further remarks, Tricoire emphasized “Digital Trust and Sustainability”. He shared how COVID-19 has accelerated existing digital trends, encouraging more efficiency, “remote everything,” greater resilience, and for sustainability to mitigate and adapt to primary threats of both the pandemic and climate change. He said, “Faced with a very volatile environment, companies need superior agility, and increased efficiency. This means they need increased capacity on one side, resiliency on the other side. The overall winner is digitalization. And the need for digitalization has been further reinforced by companies new need to operate remotely, for higher efficiency, and ultimately, for much better sustainability.”

Guest customer keynoter, Saad Bashir, CTO of the City of Seattle, speaking on “Digital Agility in the Age of COVID-19” shared his thoughts on what happened in Seattle when the pandemic hit. “Although we had planned for digital resiliency for some time, we didn’t really know how it would go until one morning all 30,000 people in our team decided to stay home and log on.” Although the team’s resiliency plans have held up well, Saad adds, “We’ve already seen opportunities from the lessons learned and one that’s worth highlighting is digital resiliency…with a unified view of our infrastructure with systems that are seamlessly connected so that they can inform decisions.”

Much discussion involved both Cloud and Edge—you must develop both, can’t have one without the other.

Ravi Gopinath, AVEVA Chief Cloud Officer and COO discussed cloud and AI. He noted four areas of investment—new way of engineering; new way of visualization; reliability and safe operations; drive agility. Develop cloud on one side and AI on the other. The cloud strengths—deploy applications easily, low TCO, enable flexible consumption, and enhance collaboration. AI provides—analysis, prediction, guidance, learning. Leading to Digital Twin, Big Data, and Industrial IoT and Edge.

The press release coming from the event focused on Schneider Electric, who announced expanded partnerships with AVEVA, Lenovo and Stratus to address the convergence of IT and OT. This partnership is bringing together system integrators with IT solution providers to build integrated industrial edge computing solutions resulting in the immediate release of three programs to empower system integrators to expand their value to end users, enabling their customers’ industrial digital transformations.

These programs include:

      Industrial edge reference designs: Co-developed with AVEVA, including solutions from Lenovo and Stratus, these reference designs reduce risk and time to market with fully customizable, pre-integrated EcoStruxure Micro Data Center solutions for any edge environment. With secure solutions designed to meet IT standards, system integrators can free up time from the IT architecture to focus on the software and solutions. These reference designs are available in Schneider Electric’s Local Edge Configurator and can be customized to specifications.
      A digital training program for system integrators: Edge computing continues to prove itself as a space for opportunity for system integrators to extend business models and establish their roles as consultants. This learning program includes a comprehensive digital training series for system integrators on Schneider Electric’s EcoStruxure Micro Data Center and EcoStruxure IT solutions to help address common challenges at the edge.
      The Industrial Edge Exchange Community: Built within Schneider Electric Exchange, the Industrial Edge Community allows system integrators to easily identify and engage with edge-certified IT solution providers. It is designed to facilitate new business and address IT/OT projects, and features a tool that pairs Alliance System Integrators with Schneider Electric’s Edge-certified IT Channel Partners.

    “The smart factory is becoming smarter. Our expanded partnerships and new industrial edge programs empower system integrators to leverage their domain expertise and become IT/OT convergence specialists and meet these needs for their customers,” said Philippe Rambach, Senior Vice President, Industrial Automation, Schneider Electric. “We know that smart manufacturing is driving an unprecedented wave of IT technologies into industrial spaces. As companies leverage AI, robotic processing automation, and more, they will require edge computing solutions to reduce latency and enable resiliency, while ensuring privacy and security, and addressing important data and bandwidth requirements.”

    What is the Industrial Edge?

    For industrial operators to capture the benefits of increased automation, they cannot rely on cloud-technology alone to bring the resiliency and speed demanded by AI, HD cameras, and other Industry 4.0 technologies. Local edge data centers are IT infrastructure enclosures/spaces/facilities distributed geographically to enable endpoints on the network. When in industrial environments such as a manufacturing plant or distribution center, this application is referred to as “industrial edge.”

    National Instruments Rebrands, Acquires Data Analytics Company

    I debated for most of the day about using my energy to work on this blog post about NI (formerly known as National Instruments). It has long been one of my favorite companies. Its user conference, NI Week, overflowed with energy and bright engineers with big ideas. The founders were brilliant, yet humble, men. And I met some of the nicest people in the industry there.

    Their marketing and PR people identified me with automation and control, for obvious reasons. Beginning in about 2010 or 2011, they seemed to become more distant until by the 2011 and 2012 NI Weeks, they didn’t talk to me about a single interview. I met with marketing people through 2014, and then all was quiet.

    But I’m a keen observer. I noticed that industrial automation and even IoT were being rapidly de-emphasized in favor of the test market. That’s where the company started and remains the core competency. I also noticed that by 2012 the keynotes were no longer about “gee whiz” technology but rather about big engineering ideas—none of which were in industrial control and automation.

    And they began emphasizing “NI” rather than the entire name more than 10 years ago.

    Therefore, the big splash about rebranding and new directions were not entirely a surprise to me. Well, the green color scheme was. And I have a pet peeve about senior executives explaining what the logo means. I believe that a logo should be self-evident. But as for a new direction, everything they talked about were things I’ve seen them doing for years—solving big engineering problems, community contributions, diversity, sustainability. It’s almost like internally they realized what they had become. But I knew it. No longer the company of the small sale where the average order was $1,000, but now the company of solving big engineering problems.

    Which is all good.

    Even so, I am interested in data—data acquisition, analytics, and data used for problem solving.

    Therefore, the acquisition. This should be a great move. I’m a possibility thinker, so I see these moves and see all the possibilities for good that can happen with a strong merger.

    The news in short:

    The acquisition strengthens data analytics software capability to provide enterprise-level value.

    NI has entered into a definitive agreement to acquire OptimalPlus Ltd., a global leader in data analytics software for the semiconductor, automotive, and electronics industries. The acquisition will expand NI’s enterprise software capabilities to provide customers with business-critical insights through advanced product analytics across their product development flow and supply chain.

    NI and OptimalPlus serve highly complementary positions in the semiconductor, automotive, and electronics industries. NI test systems are used in semiconductor manufacturing with OptimalPlus serving as a leading supplier of semiconductor manufacturing data analytics. Similarly, the NI automotive and electronics production test offerings are complementary to OptimalPlus’ growing automotive and electronics analytics business. Combining the strength of NI’s software-centric approach with OptimalPlus’ enterprise-level analytics software is expected to dramatically increase the value of test and manufacturing data, enabling product insights that will improve quality, efficiency and time to market for both NI and OptimalPlus customers.

    “The addition of OptimalPlus’ data analytics capabilities will enable us to accelerate our growth strategy by increasing enterprise-level value for shared customers in the semiconductor and automotive industries.” said Eric Starkloff, NI President and CEO. “During this age of digital transformation, we remain committed to delivering innovative software and systems that leverage a robust data platform to address our customers’ business challenges. I welcome the employees of OptimalPlus and look forward to collectively accelerating our long-term growth ambitions.”

    “OptimalPlus is excited to join the NI team. We are confident NI is the ideal partner to accelerate our innovation and increase sales opportunities through advanced product analytics,” said Dan Glotter, OptimalPlus Founder and CEO. “It is evident we share the unique commitment to high-quality software tools and need for world-class customer experience. The acquisition by a technology leader like NI is testament to the leading-edge innovation delivered by our R&D, Product and Data Science teams in Israel and to the great dedication and commitment of our employees across the world. Together with NI, we will provide enterprise-level analytics to enable customers to achieve their digital transformation objectives while expanding our customer reach.”

    The acquisition is subject to customary closing conditions, including regulatory approval. The transaction is valued at $365 million and expected to close in early Q3 2020. OptimalPlus had 2019 revenue of $51 million and employs approximately 240 employees. Due to the highly complementary nature of the companies, there will be minimal cost synergies from this transaction. NI plans to fund the transaction through a combination of cash on hand and debt.

    About OptimalPlus

    OptimalPlus develops analytic solutions based on its big data platform technology which combines machine-learning with a global data infrastructure to provide real-time product analytics and to extract insights from data across the entire supply chain. Serving tier-1 suppliers and OEMs, in the market of semiconductor, automotive and electronic industries. The company provides technology to enhance key manufacturing metrics such as yield and efficiency, improve product quality and reliability and provide full supply chain visibility. OptimalPlus headquarters and R&D are in Israel with offices in Asia, Europe, and the United States.

    Zero-touch Edge Computing Platform Simplifies Deployment

    I remember Stratus Technologies for years as a fault-tolerant server company that was almost alone exhibiting at manufacturing events. It has been an aggressive innovator for the past several years. This was just released today.

    The company now bills itself as a global leader in simplified, protected, autonomous Edge Computing platforms. It today unveiled enhancements to its ztC Edge portfolio, which includes the ztC Edge 100i and ztC Edge 110i. This update delivers an improved and more efficient deployment and provisioning experience to help organizations quickly install the zero-touch Edge Computing platforms across multiple locations. In addition, new manageability, security, and performance enhancements will help partners and customers reduce their cost of operations and maintenance, minimize risk of data loss, and ensure high availability for all business-critical operations.

    The ztC Edge is a secure, rugged, highly automated Edge Computing platform that helps organizations achieve peak performance through increased operational efficiency and zero downtime at the edge. With its built-in virtualization, automated protection, industrial interoperability and more, ztC Edge ensures that customers can quickly and easily achieve higher availability for their essential applications.

    Improved Manageability

    • ztC Edge system settings and user preferences can now quickly and easily be stored to a local drive or the Stratus Cloud. Simplified system backup and restoration will help companies save time by automating certain processes and reducing user error.
    • Different templates can be created and archived for different use cases, workloads, or locations, making commissioning systems more efficient and accurate. Organizations can use these templates to rapidly provision single, or multiple ztC Edge platforms from remote areas. This is especially important for partners who implement and manage multiple platforms across multiple customers’ facilities and properties, making it easier for them to support systems and applications from one off-site location remotely.
    • The latest version of the ztC Edge is Microsoft Azure certified, with integration capabilities embedded in the platform for simple systems management and faster time to value for customers.

    Improved Security

    • The ztC Edge 110i update introduces a new secure, cloud-based file repository, called the Stratus Cloud, for partners and customers to safely transmit, store and retrieve their ztC Edge system preference templates. Unlike other third-party cloud offerings, Stratus Cloud automatically authenticates users and groups using the same credentials as their Stratus Customer Service Portal account, saving partners and customers time and effort.

    Increased Performance

    • The ztC Edge 110i also comes with expanded 64 GB memory capacity to support a broader range of memory-intensive industrial workloads, giving customers more choice and flexibility in consolidating multiple applications (such as SCADA) on one machine – saving costs and increasing agility.
    • ztC Edge 110i platforms are now Class I Division 2 certified, making them safe to deploy in hazardous locations. This certification allows ztC Edge to be implemented in a wider variety of industrial settings with more significant environmental variability.

    The ztC Edge’s built-in virtualization makes applications portable, while the computing platform also provides greater availability, resilience, and data protection than other platforms. Numerous out-of-the-box capabilities improve the security of customers’ ztC Edge platforms, thus upgrading their security posture and mitigating risk. ztC Edge platforms also support common OT and IT protocols, tools, and standards, such as SNMP and OPC UA, which makes them easy to integrate into, and work with, existing environments, saving partners and customers time.

    “One of the biggest threats to customers is adding technology that is undependable and not secure. Customers should never have to worry about these risks when modernizing their Edge Computing capabilities,” said Jason Andersen, vice president of business line management at Stratus. “For some organizations, having highly reliable and protected platforms in place is imperative to the success of their business. They depend on these platforms to be ‘always-on’, secure, and able to run in any environment without human monitoring, maintenance, repairs, or support.”

    “With 40 years of experience protecting business-critical applications and environments, our ztC Edge platform has evolved to address challenges around performance, security, and manageability for computing at the edge,” said Jason Dietrich, chief revenue officer at Stratus. “Stratus partners can trust they are providing customers simple, protected and autonomous Edge Computing solutions that will maximize their operational efficiency while minimizing their operational, financial and reputational risk.”

    Podcast Engineering Response To Covid 19

    Years ago machine and process safety were first ignored and then addressed as an add-on. Then engineers began evaluating the problem and engineered safety from the beginning design. Not only was safety enhanced, but also reliability and productivity improved as well.

    We are seeing the same thing already in response to solving problems due to Covid-19. I take a look at a variety of responses just in the first couple of months of the crisis.

    This podcast is sponsored by Inductive Automation and its flagship Ignition 8.

    Digital Transformation Strategies

    I finally got some time to collect my thoughts about Wednesday’s virtual conference. There was a bit of Rockwell Automation at the PTC LiveWorx. Wednesday was Rockwell’s turn with ROKLive–the latest, and virtual, iteration of its distributor education series RSTechED and RATechED.

    At times over the years, journalists, editors, and writers were not invited to TechEDs. Then they invited us and we sat in sessions. They’ve tried a few executive education days during these events–usually June and usually alternating between Orlando and San Diego. This year was to have been co-located with new partner PTC’s event–until Covid-19 and quarantine.

    I received an invitation and link to check out the Digital Transformation track. (Although a refresher on programming PLCs, networking, and drives would have been OK, too.)

    This was pretty high level with former P&G vp and consultant Tony Saldanha, Microsoft’s Caglayan Arkan, Gartner’s, Ivar Berntz, LNS’s Matt Littlefield, Cisco’s Paul Didier, and at the end of the day two presenters from Rockwell, Mick Mancuso and Jeff Botsch. There were many more. Some time slots had two speakers and some had three.

    A few speakers got pretty high-leveled, but many practical tips came out.

    On the one hand, OEE came out a few times. I’m not a fan–mostly because of data collection methodology. You cannot use OEE as a comparison because within the formula are many definitions and common definitions plant-to-plant seldom exist. In fact, one Rockwell presenter acknowledged as much.

    While Saldanha was speaking, he mentioned that MRP II (or its ideas) was still in widespread use. That is disheartening. I learned and implemented that way back in the late 70s. I’d hope that everyone had moved way past that by now.

    Tips I gleaned from the talks

    • Be data driven
    • We’re benchmarking the wrong companies, you’re competitors are likely to be startups
    • When looking for digital transformation projects, look for the 10x opportunities
    • Focus on solving problems, not just applying technology
    • Consider business objectives first
    • People are key, and be aware of workforce issues such as turnover, retirements, training (and I should add diversity)
    • Key is to develop agile plants and agile supply chains
    • Develop healthy change management processes
    • Pay attention to governance issues

    I have several more virtual conferences this week. I miss meeting the people, but these have not been as painful as I feared.

    Siemens Introduces Workplace Distancing Solution

    Suppliers of manufacturing technology have been working diligently for the past couple of months to craft responses to the pandemic engulfing the world. They call these Covid-19 responses. I call them an upgrade to workplace safety. We conquered many safety issues from machines to processes to ergonomics and worker environment. These steps protect workers from each other—or that tiny unseen molecule that can cause much suffering.

    This release is from Siemens. In brief:

    • Leveraging its software and hardware, Siemens has developed a unique workplace distancing solution that helps manufacturers to simulate and manage employee exposure risks while enabling productivity throughout their facilities
    • Combination of Siemens’ SIMATIC Real Time Locating Systems and Xcelerator portfolio help enable customers to manufacture with confidence and future-proof their operations

    As preparations are made for what Siemens is calling the “next normal”, manufacturers must consider additional dimensions of employee safety, including the establishment of production environments and workflows that address physical distancing requirements.

    Combining its hardware and software, Siemens has created a new solution that enables companies to quickly and efficiently model how employees interact with each other, the production line and plant design. The new solution also enables organizations to build an end-to-end digital twin, in order to simulate worker safety, iterate on and optimize workspace layouts and validate safety and efficiency measures to help future-proof production lines.

    With Siemens’ SIMATIC Real Time Locating Systems (RTLS), companies can continuously measure distances between workers, provide real time visual feedback to employees regarding their spacing from others and create a log of all movements and interactions over time. In this way the Siemens’ SIMATIC RTLS continuously facilitates safe distancing while providing numerous additional benefits.

    Combining Siemens’ SIMATIC RTLS with a digital twin of the actual manufacturing environment permits companies to model and simulate how employees interact with the equipment and each other, enabling them to iterate and optimize safety and productivity in the short term, and validate a redesign of the entire operation before more costly physical changes are made.

    “We are helping our customers create a safe work environment, which is extremely important as they look to produce efficiently and reliably under unprecedented circumstances,” said Tony Hemmelgarn, President and CEO of Siemens Digital Industries Software. “The combination of real time distancing management and digital simulations will help companies maintain safe work environments today and make educated decisions about ongoing and long-term optimization.”

    In order to implement this solution, Siemens’ SIMATIC RTLS transponders are embedded in badges which are worn as personal protective equipment by all employees. RTLS receivers placed throughout the operation can then continuously track and record workforce movement. When two employees are in a risk scenario (e.g., less than six feet apart), their badges will display a warning, alerting them to the situation.

    The data collected over time can be analyzed to identify “hot spots” where risk scenarios occur frequently. Such situations become easily actionable via the digital twin, which is provided by Siemens’ Tecnomatix Process Simulate and Plant Simulation software. Utilizing the collected data, new manufacturing layouts or workflows can be simulated until one is determined to provide the desired outcomes, which can then be implemented in the physical operation.

    Beyond this, manufacturers can add traceability to the solution through Siemens’ on-premise solutions or an application such as Siemens’ Trusted Traceability Application on MindSphere, the cloud-based, open IoT operating system from Siemens, which helps enable rapid, comprehensive contact analysis in the unfortunate event of an actual workplace illness. All movement and contact with the affected employee can be visualized, enabling rapid notification of those who came into close contact and selective (rather than site-wide) deep cleaning of exposed physical environments.

    “Siemens is providing a powerful, rapidly deployable solution that helps manufacturers take control of their operations and achieve better safety, productivity and cost outcomes today and in the post-Covid era,” said Raj Batra, President of Digital Industries for Siemens USA. “Our solution consists of proven technologies that can begin delivering results for most manufacturers in one to two weeks.”

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