A few of us gathered for a round table discussion of Internet of Things while I was at Dell Technologies World at the beginning of the month. I arrived a little early and had a private round table for several minutes before others arrive and the discussion became broader.
Ray O’Farrell, CTO of VMware and GM of IoT at Dell Technologies, said the focus of last 6 months since the new Internet of Things organization was announced included these three points:
1. Dell is 7 companies, trying to achieve one cohesive strategy across all; one organization when facing customers.
2. Best way is to work within the ecosystem, that is history of VMWare.
3. Building technology and leverage solutions. This is a complex undertaking as not all challenges within IoT are alike—there are few cookie cutter applications.
The evolution of Internet of Things within Dell to Dell EMC to Dell Technologies constitutes an upward spiraling path encompassing the greater breadth of technologies and organization reflecting the post-merger company. When I first came along, the concept was building an ecosystem around selling an edge device appliance. Now the strategy is much broader bringing the goal of IT/OT convergence closer to reality. As I’ve mentioned before, the IT companies are attacking that convergence from the IT side after years of manufacturing/production oriented suppliers trying to accomplish the same thing from the OT side. Maybe like the old country song we’ll meet in the middle someday.
Everyone talks Artificial Intelligence (AI) these days, and Dell Technologies is not exception. However, AI is not the science fiction doom and gloom predicted by Ray Kurzweil, Elon Musk, and others. Mostly it entails machine learning (ML) from detected patterns in the data.
Or as Dell Technologies says, it is applying AI and ML technology to turn data into intelligent insights, drive a faster time to market, and achieve better business outcomes.
• Dell EMC PowerEdge expands portfolio to accelerate AI-driven workloads, analytics, deployment and efficiency
• Deepens relationship with Intel to advance AI community innovation, machine learning (ML) and deep learning (DL) capabilities with Dell EMC Ready Solutions
• Dell Precision Optimizer 5.0 now enhanced with machine learning algorithms, intelligently tunes the speed and productivity of Dell Precision workstations.
• Dell EMC uses AI, ML and DL to transform support and deployment
14th generation Dell EMC PowerEdge four-socket servers and Dell Precision Optimizer 5.0 are designed to further strengthen AI and ML capabilities.
According to the recently released update of the Enterprise Strategy Group (ESG) 2018 IT Transformation Maturity Curve Index, commissioned by Dell EMC, transformed companies are 18X more likely to make better and faster data-driven decisions than their competition. Additionally, transformed companies are 22X as likely to be ahead of the competition with new products and services to market.
“The Internet of Things is driving an onslaught of data and compute at the edge, requiring organizations to embrace an end-to-end IT infrastructure strategy that can effectively, efficiently and quickly mine all that data into business intelligence gold,” said Jeff Clarke, vice chairman, Products & Operations, Dell. “This is where the power of AI and machine learning becomes real – when organizations can deliver better products, services, solutions and experiences based on data-driven decisions.”
Unlike competitors’ four-socket offerings, these servers also support field programmable gate arrays (FPGAs)3, which excel on data-intensive computations. Both servers feature OpenManage Enterprise to monitor and manage the IT infrastructure, as well as agent-free Integrated Dell Remote Access Controller (iDRAC) for automated, efficient management to improve productivity.
Dell EMC is also announcing its next generation PowerMax storage solution, built with a machine learning engine which makes autonomous storage a reality.
Leveraging predictive analytics and pattern recognition, a single PowerMax system analyzes and forecasts 40 million data sets in real-time per array4, driving six billion decisions per day5 to automatically maximize efficiency and performance of mixed data storage workloads.
The new Dell Precision Optimizer 5.0 uses AI to automatically adjust applications running on Dell Precision workstations to maximize performance by:
• Custom-optimizing applications: Dell Precision Optimizer learns each application’s behavior in the background and uses that data to employ a trained machine learning model that will automatically adjust the system to optimized settings and deliver up to 394% improvement in application performance.
• Automating systems configuration adjustments: Once activated and a supported application is launched, the software automatically adjusts system configurations such as CPU, memory, storage, graphics and operating system settings.
Speaking of partners and collaboration, Dell Technologies and Microsoft join forces to build secure, intelligent edge-to-cloud solution featuring Dell Edge Gateways, VMware Pulse IoT Center, and Microsoft Azure IoT Edge
• Joint IoT solution helps simplify management, enhances security and help lowers cost of deployment at the edge
• Built on innovative analytics applications, management tools and edge gateways to enable network security from edge devices to the cloud
• Accelerates IoT adoption in industry verticals key to economic growth and development
The joint solution offers an underlying IoT infrastructure, management capabilities, and security for customers looking to deploy IoT for scenarios like predictive maintenance, supply chain visibility and other use cases. The solution will deliver:
• Intelligence at the edge with Microsoft Azure IoT Edge: This application extends cloud intelligence to edge devices so that devices can act locally and leverage the cloud for global coordination and machine learning at scale
• Management and monitoring of edge devices with VMware Pulse IoT Center: This provides more secure, enterprise-grade management and monitoring of diverse, certified edge devices including gateways and connected IoT devices, bios and operating systems. This ecosystem will be built over time involving deeper integration and certification to support customer requirements.
• High-performance, rugged Dell Edge Gateways: IoT devices with powerful dual-core Intel® Atom™ processors connect a variety of wired and wireless devices and systems to aggregate and analyze inputs and send relevant data to the cloud
VMware Pulse IoT Center will serve as the management glue between the hardware (Dell Edge Gateways or other certified edge systems), connected sensors and devices and the Microsoft Azure IoT Edge. Initially, Pulse will help to deploy the Microsoft Azure IoT Edge to the requisite edge systems so that it can start collecting, analyzing and acting on data in real-time.
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.
Amongst the cloud and manufacturing IT booths in Hannover was a sizable booth nestled in the middle housing Arm, the processor company. Here Ian Ferguson, Vice President, Ecosystem Development, met with me to discuss some of the latest embedded computing news.
Arm licenses chips which are optimized to the OS for customer companies to use and customize.
Its software business includes a device manager for small device apps for provisioning and connecting. It has also announced a bridge to IBM Watson.
Its software product, Embed, runs on ARM. Among the areas of focus is smart meters and tracking of small assets. Ferguson also mentioned smart buildings–especially lighting.
Security is a key focus working at the chip level to detect intrusions, “device health”.
• Rapid industry adoption of Mbed Platform with more than 300,000 developers (>30% growth over the past year) and 80 partners
• Arm expands integration with IBM Watson IoT, and partners with Cybertrust and GlobalSign to deliver BYOC (Bring-Your-Own-Certificate) flexible IoT security authentication
• Mbed drives IoT business value for logistics, utilities and smart cities as organizations shift to Industry 4.0
Help organizations take advantage of the opportunities offered by IoT data and combine this with their business data to create valuable business outcomes. However, in talking with these organizations, many feel that pursuing opportunities to achieve these business outcomes through IoT opens themselves up to more IT complexity and greater security concerns.
Security and complexity of integration are legitimate concerns that addressed with Arm Mbed Platform. This platform provides the necessary IoT building blocks including, connectivity, device management, security and provisioning with the support of a 300,000+ strong developer community that has grown more than 30% in the past year.
It’s also supported by a growing ecosystem of 80 contributing partners such as IBM, which is bridging the Mbed Cloud with IBM Watson IoT Platform. We’ve integrated Mbed Cloud with Cybertrust and GlobalSign to provide more flexible security authentication for IoT devices.
Mbed Cloud and Mbed Cloud On Premises were designed to provide device management, connectivity and provisioning that customers demand, supported across multiple public and private clouds, on-premises and hybrid environments.
IoT security should be easy to implement, not an inhibitor. The new integrations between Mbed Cloud and Cybertrust and GlobalSign enable customers to BYOC (Bring-Your-Own-Certificate) for flexible and secure IoT authentication, leveraging the public key infrastructure they already use. Security should also be built into development, which is why Arm is planning to make its free open-sourced development platform, Mbed OS, the first OS to support PSA-Compliant trusted boot, storage and opaque cryptography.
However, even when security is built-in, software updates are often needed to maintain a strong security posture, which is a challenge when there are millions of devices already deployed out in the field. Through an expanded integration with IBM Watson IoT Platform, its users can now manage, provision and update firmware over-the-air for their IoT devices through Mbed Cloud.
Much time was devoted last week at Dell Technologies World to Dell’s Legacy of Good highlighting people and companies doing some really cool and worthwhile things. I’m especially impressed with the AeroFarms people (see photos below) who are using IoT to find a better way to grow wholesome vegetables. Hey engineers–maybe there’s a thought in here to spark your next creative interest.
Let me take you on a photo journey through the prominent booth at the DT World Expo floor highlighting a number of projects.
Plastic waste floating in the ocean is fast becoming an environmental catastrophe. Here is someone doing something about it.
How about genetic mapping improvements for fighting rare diseases?
A bug’s eye view with drones to help the honeybee population.
All kinds of wild robot science fiction stories are hitting main-stream media. How about a reality check?
Oh, another main-stream media hype fest–AI. In reality is can be a boost to business not in a scary way.
Here is a manufacturing product lifecycle story.
And the AeroFarms story.
Last week it was Hannover Germany in pursuit of the elusive Internet of Things (IoT) where the weather had been in the 70s until I arrived. This week, still in pursuit of the elusive IoT, I’m in a chilly and wet Las Vegas at Dell Technologies World where I’ve talked IoT for some three years.
For two years, Michael Dell featured IoT in his keynote. Last year, he brought VP Andy Rhodes on stage for a highlight. Rhodes has since moved on to another group, the GM of IoT is also the CTO of VMware indirectly reporting to the President of OEM and Global Channel (and IoT). So on the one hand IoT has been elevated in the organization twice in a year. On the other hand, there seems to be less glitter.
Meanwhile this year, Dell brought up IoT in the context of data. Data being in the service of Digital Transformation. In fact, Dell said, “Dell Technologies is in a unique position to integrate innovation for Digital Transformation.” He noted that companies can use data to improve products and services which in turn attracts more customers which generates more data which is analyzed and so the process goes.
However since IoT generates data and date attracts attacks, security is an essential element of the system. Interestingly, I met with Zulfikar Ramzan who is CTO of RSA, the Dell security company who talked in terms of recognizing and managing risk. Making risk visible and using analytics are key strategies.
There were also two briefings with the Unstructured Data Group. So much of our industrial data is in historian databases. But the growth of Websites and IoT has generated unstructured data that must be stored, retrieved, analyzed, and used in order to support business
Trends for IoT within Dell Technologies? After conversations with CTO and GM Ray O’Farrell and my longtime contact Jason Shepherd, I’d say the big thing is that IoT has grown from being a small division—almost a skunk works sort of thing building a product and solution infrastructure to becoming part of the DNA across all Dell Technologies companies. Therefore the fruit of moving the locus of leadership higher in the organization and placed with people that can build alliances and partnerships. And these partnerships now include channel partners as well as solution partners. I’d call this growling maturity.
I went from Germany to Las Vegas and the time change screwed with my posting schedule. So…I am finally finishing up my Hannover Messe reporting before I begin with my recent trip.
My last post detailed the first round of briefings with Hewlett Packard Enterprise. Today I’ll finish up.
But first, a digression.
Misinformation about what exactly OPC UA is continues to circulate within the industry. I had at least three conversations where people referred to OPC as proprietary. Plus OPC and MQTT are mistakenly considered competitive rather than complementary. OPC Foundation still has some evangelizing to accomplish.
A few years ago it appeared that major automation vendors were ignoring OPC and its interoperability tending toward self-encased solutions. In fact, I got dissed by some dude on YouTube for a report I did on that subject.
Time has passed. More and more people and companies recognize the value of interoperability and OPC UA. No doubt the PubSub helps in some cases. And without a doubt the combination of OPC UA and TSN is enticing to many.
HPE has devised an application dubbed “Remote Visual Guidance.” It began with an eLearning application HPE MyRoom. Integrated with a hard hat, a camera, and glasses that project an image to the user, the system enables remote support from an expert who may not be able to fly to the site. Imagine working in a remote location such as an offshore oil rig where flying in an expert is both dangerous and expensive, for example. The system comes in three versions—wearable say integrated with a hard hat, smart phone app, or tablet app. Therefore, the three versions are No hands, 1 hand, and 2 hands). Try this for a potential use case for a value add from an OEM. The OEM bundles the app with its machine. This gives the customer direct contact with remote expert for the cost of perhaps a service contract.
I had a good conversation with HPE’s Christian Reichenbach on Blockchain technology. I believe this technology is quickly moving past hype into something we can use. The concepts of trusted transaction and ledger have immediate appeal for industries such as pharma manufacturing. We can think of many more.
Reichenbach identifies three waves of blockchain.
Wave One is personal exemplified by crypto currency—the Bitcoin that garners most of the press
Wave Two came with Enterprise to Enterprise transactions. For example, he pointed to the vision system QA demo at the HPE stand. It uses blockchain to send QA report as a secure, trusted transaction that includes a record.
Wave Three includes Things to Things. This means systems around products leading to systems of systems thinking. Things become autonomous actors. They contract with each other with no middle man. It includes ledger systems. Let’s take the example of an HPE Edge Gateway plus Etherium (an HPE partner). Perhaps it’s the same concept as loyalty card scanning and giving you value for using it. Let’s look at a car. Currently there are lots of sensors but no marketplace to exploit all that data. Say we take Edgeline device connected to CANbus of the car. Then, say, connect to the rain sensor or a sensor in the shock absorber. Previously the end user gave data away for free, but now maybe the car makes a smart contract with weather channel or Waze and sells the data.
One last item I gleaned from the Microsoft booth. HPE has a starter kit to help users easily connect devices to the cloud using HPE Edgeline, Softing (OPC UA kit), and Microsoft Azure.
Overall analysis from HPE visit at Hannover was that IoT has matured in a sense from a department with a product to infusing into the entire manufacturing product and service portfolio.