Presentations abound at Emerson Global Users Exchange. Attendees can choose to take deep technical dives into Emerson products, get overviews and trends of technology and the industry, and even personal development. Yes, there was even a 6 am fitness time with either running or Yoga.
Where’s “The Edge”? Yes, you can use good presentation skills for career success. Building Your Personal Brand through Digital Transformation–or social media an networking. Here’s a recap of the 2019 Emerson Global Users Exchange based upon several sessions I attended led by people I’ve known for a long time–Dave Imming, Mike Boudreaux, and Jim Cahill.
The Secure First Mile–IIoT and the Edge
A panel discussion assembled and led by Emerson’s Director of Connected Plant Mike Boudreaux, discussed Industrial Internet of Things in relation to “Where is the Edge”. The blend of IT and OT on the panel was refreshing and informative. Most instructive was how far each has come toward understanding the entire picture broadening from each’s silos.
Attila Fazekas, ExxonMobil, stated that IoT connects to Level 4 of the Purdue model. He is part of the IT organization taking the view from that side of the divide. He noted that his company tries to have a hard line between the IoT (IT) and control systems, although he admitted that occasionally the line becomes blurred. He was a strong proponent of IT governance, notes they have a hard line between IoT and control system (although in effect the line sometimes gets a bit smudged).
Peter Zornio, CTO Emerson Automation, relates IoT and Edge to “a giant SCADA system.” He reflects those who come from the plant where intelligent devices are connected to an automation system, which formerly was the single point where data was collected and then passed through. I have talked with Zornio for years. Few people in the industry are as knowledgeable about the plant. He is beginning to adjust to the IT world with which he’s going to have to work in the future. Especially given Emerson’s expanded strategy into digital transformation and “Top Quartile Performance.” He sees security helping drive Edge applications to divide systems providing a firm break between control systems and IT systems.
Jose Valle, CTO Energy/Manufacturing at MIcrosoft, brought another IT view to the panel. For him, The Edge becomes a place for security with a separation of functions. He also brought an emphasis on provisioning devices through the cloud.
Rich Carpenter, Executive Product Manager, Emerson Automation / Machinery (former CTO of GE Fanuc/GE Intelligent Platforms), discussed a new Edge computer from Emerson (GE). It uses Hypervisor to run RTOS and PLC control on part of chip segmented by firewall from regular PC chip running Linux for IoT functions. Noted that for the latter, they’ve discovered it better to use Node-RED and Python for programming. Congratulations to Rich for landing at Emerson—he’s another long-time contact. And thanks for mentioning Node-RED.
Overall, the panel expressed concerns about providing security with the IIoT and Edge devices. The best part was Boudreaux’s assembling a panel split evenly with IT and OT and there was no acrimony or “you think this, we think that” nonsense. They are all trying to solve bigger problems than just IT or OT only. Businesses are driving them together to solve “digital transformation” challenges. Good stuff.
One of the most important technologies for successful implementation of an Industrial Internet of Things program involves moving more computing and storage power to the edge.
GE has been in the news more often than it would like over the past year—my broker just called and in our discussion I mentioned writing an article about GE and he groaned.
However, GE Digital despite rumors to the contrary still lives and released some new products. One is an edge solution and the other an on-prem server solution.
Predix Edge aims at simplifying edge-to-cloud computing. GE Digital also introduced its Predix Private Cloud (PPC) solution, an on-premises deployment of the Predix platform, which gives customers the privacy, security, data sovereignty, and data isolation provided by a private cloud infrastructure.
“More than 70 percent of industrial companies are stuck in pilot purgatory – that is, they are either still at the start or unable to further advance their IIoT initiatives,” said Eddie Amos, Corporate VP, Platform & Industrial Applications, GE Digital. “Companies often face unexpected complexities in the solution design or integration, steep costs or security vulnerabilities. The custom, one-off solutions that tend to grow out of pilot projects further burden companies with ongoing maintenance, patching and upgrading over time. Realizing the full impact of IIoT requires moving beyond the pilot stage with scalable, interoperable solutions – and GE Digital helps lead them through that journey.”
The offerings GE Digital unveiled help companies bridge this gap – and offer businesses flexibility when and where they operate.
Predix Edge securely captures, processes, and analyzes data that can be managed locally or pushed to the cloud, executing the most demanding workloads at the edge and producing insights in near real time. With new functionality to help businesses accelerate the IIoT, Predix Edge provides:
Simple deployment and management capabilities out of the box, allowing users to remotely monitor and manage all their edge devices and heterogenous industrial data from a centralized management console.
Rapid time to value by supporting edge application development for almost all programming languages – such as Java, C++, Go and Python – and coming pre-integrated for use with GE Digital’s leading industrial apps like Asset Performance Management (APM) and Operations Performance Management (OPM).
Support for data storage and analysis online, offline or with intermittent connectivity in remote environments, such as offshore oil rigs or disconnected use cases where internet connectivity is never available. Predix Edge then transfers key data back to the cloud when re-connected.
Edge-to-cloud security and compliance to protect data and operations. The hardened, embedded edge operating system helps manage connected devices and remotely deploy patches, giving users the ability to control security at a deeper level.
Low latency application deployment closer to the originating data, to enable companies with limited connectivity, regulatory requirements or other constraints a way to accelerate time to value.
Processing data and applying analytics close to the device can dramatically reduce downtime, optimize maintenance schedules, and add operational value, all while reducing network and cloud costs. Predix Edge and the Predix platform work seamlessly together to provide distributed IIoT processing and analytics where they’re needed most.
To further help simplify the IIoT process, GE Digital also unveiled Predix Private Cloud (PPC), an on-premises deployment of the Predix platform and portfolio, that offers companies maximum levels of security and privacy.
Already commercially available, PPC enables IIoT connectivity, data, analytics and applications – such as Predix applications or custom applications – to be hosted on-premises, providing customers with multiple ways to deploy the Predix platform. The on-premises offering helps companies operating in high data volume scenarios access data securely in near real time and also manage edge and disconnected environments. PPC is specifically designed to meet privacy, security, data sovereignty anddata isolation requirements based on a customer’s industry, region or country.
Hewlett Packard Enterprise (HPE) held its annual Discover conference in Las Vegas last week. It has made a sizable commitment to Internet of Things (IoT) and the Edge—areas central to my writing for the past few years. I am floating a number of ideas looking for feedback as I travel, and I’ll bounce some of those here later.
There is so much I learned last week beyond even what I wrote Monday about the new Edgeline computer. Perhaps the best place to start is with my latest discussion with Lin Nease, Chief Technologist IoT at HPE. This was a continuation of a discussion we began in Madrid last November and resumed at Industry of Things World in San Diego in February.
HPE’s power of compute at the Edge fascinates me. Even though my being in Las Vegas precluded being in Boston for LiveWorx, ThingWorx came up in many conversations at Discover. Nease said that ThingWorx (product and division of PTC) has been a good partner. Back to compute power at the edge Nease mentioned this power combined with TSN—Time Sensitive Networking, a new extension of Ethernet promulgated by IEEE.
Indeed, there is sufficient power in Edgeline that an enterprising developer could, for instance, accomplish the software defined DCS that seems to be the dream of some of the engineers at ExxonMobil and the Open Process Automation folks. Anyone out there have time and money?
Speaking of Edge, evidently the enterprise IT bloggers I hung out with during the event try to avoid the term. CEO Antonio Neri had said, “Edge is everything outside the data center.” In the blogger round table that I posted Monday, blogger Alastair Cooke noted, “Gary, we consider everything you do as edge.” Back to Neri who stated 94% of data is wasted; 75% of data comes from the edge.
Following are some points I gleaned from a session called “Harness the Power of Digital Platforms”:
- HPE is a huge fan of open source & open platforms
- Digital natives build platforms-e.g. Uber, Google, Amazon, etc.
- An internal team built an open API platform to solve a problem in supply chain
- Biggest problem was selling the system internally so that people would actually use the system (never seen that before—said no one anywhere)
- Traditional—>Digital; everything is a frictionless stream of data
- Platform always on, always looking for exceptions — sense/respond
HPE has an OEM Solutions group. Following are some points from a session discussing them:
- OEM Solutions can be Embedded, Integrated, Private Label
- Everything as a Service — Green Lake is the service offering that OEMs can resell the service
- Shift to software defined
- From storage to flash
- Example—Konica Minolta embedded an Edgeline computing device in a printer called workplace hub that makes it easier to set up and install a new remote office
HPE has momentum in IoT and edge devices—and an organization supporting manufacturing.
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.
Much of the interesting activity in the Industrial Internet of Things (IIoT) space lately happens at the edge of the network. IT companies such as Dell Technologies and Hewlett Packard Enterprise have built upon their core technologies to develop powerful edge computing devices. Recently Bedrock Automation and Opto 22 on the OT side have also built interesting edge devices.
I’ve long maintained that all this technology—from intelligent sensing to cloud databases—means little without ways to make sense of the data. One company I rarely hear from is FogHorn Systems. This developer of edge intelligence software has recently been quite active on the partnership front. One announcement regards Wind River and the other Google.
FogHorn and Wind River (an Intel company) have teamed to integrate FogHorn’s Lightning edge analytics and machine learning platform with Wind River’s software, including Wind River Helix Device Cloud, Wind River Titanium Control, and Wind River Linux. This offering is said to accelerate harnessing the power of IIoT data. Specifically, FogHorn enables organizations to place data analytics and machine learning as close to the data source as possible; Wind River provides the technology to support manageability of edge devices across their lifecycle, virtualization for workload consolidation, and software portability via containerization.
“Wind River’s collaboration with FogHorn will solve two big challenges in Industrial IoT today, getting analytics and machine learning close to the devices generating the data, and managing thousands to hundreds of thousands of endpoints across their product lifecycle,” said Michael Krutz, Chief Product Officer at Wind River. “We’re very excited about this integrated solution, and the significant value it will deliver to our joint customers globally.”
FogHorn’s Lightning product portfolio embeds edge intelligence directly into small-footprint IoT devices. By enabling data processing at or near the source of sensor data, FogHorn eliminates the need to send terabytes of data to the cloud for processing.
“Large organizations with complex, multi-site IoT deployments are faced with the challenge of not only pushing advanced analytics and machine learning close to the source of the data, but also the provisioning and maintenance of a high volume and variety of edge devices,” said Kevin Duffy, VP of Business Development at FogHorn. “FogHorn and Wind River together deliver the industry’s most comprehensive solution to addressing both sides of this complex IoT device equation.”
Meanwhile, FogHorn Systems also announced a collaboration with Google Cloud IoT Core to simplify the deployment and maximize the business impact of Industrial IoT (IIoT) applications.
The companies have teamed up to integrate Lightning edge analytics and machine learning platform with Cloud IoT Core.
“Cloud IoT Core simply and securely brings the power of Google Cloud’s world-class data infrastructure capabilities to the IIoT market,” said Antony Passemard, Head of IoT Product Management at Google Cloud. “By combining industry-leading edge intelligence from FogHorn, we’ve created a fully-integrated edge and cloud solution that maximizes the insights gained from every IoT device. We think it’s a very powerful combination at exactly the right time.”
Device data captured by Cloud IoT Core gets published to Cloud Pub/Sub for downstream analytics. Businesses can conduct ad hoc analysis using Google BigQuery, run advanced analytics, and apply machine learning with Cloud Machine Learning Engine, or visualize IoT data results with rich reports and dashboards in Google Data Studio.
“Our integration with Google Cloud harmonizes the workload and creates new efficiencies from the edge to the cloud across a range of dimensions,” said David King, CEO at FogHorn. “This approach simplifies the rollout of innovative, outcome-based IIoT initiatives to improve organizations’ competitive edge globally, and we are thrilled to bring this collaboration to market with Google Cloud.”