It’s Friday before Memorial Day and I’m catching up on a number of items I’ve read this week concerning automation and ethics.
- AI (Eric Schmidt / Elon Musk)
- Robot Market
- Automation Tsunami
- Rockwell Automation OPC UA
- Schneider Electric Triconex
- Peaceful Fruit
Marketing people lust after your information. Trust me, I was in the business. If a magazine or website can collect your email address and provide (sell) it to a marketer, fantastic. If they can add name, company, address, and telephone number(s), all the better.
Some companies have treated you (us) like a commodity to be harvested and sold. Now in the wake of the European GDPR regulation, companies have been flooding us with emails telling us that, while in the past they may have done all that to us, in the future they’ll do less of it—maybe. Makes me wonder about all of them.
As for me—I have an email list of people who have signed up for my occasional newsletter. I use them only for that. No one besides me sees it.
Remember the old Groucho Marx line, “Military intelligence is an oxymoron”? Well, how about adapting the phrase to modern times? “Artificial Intelligence is an oxymoron.”
I wrote a little about that yesterday. Scanning my news items today, I see Eric Schmidt contesting with Elon Musk on the subject—“Elon is just plain wrong.” Yep.
According to Tractica, a market intelligence firm, Consumer Robots, Enterprise Robots, Autonomous Vehicles, and Unmanned Aerial Vehicles are expanding their share of the $52.7 billion annual robotics market.
A new report finds non-industrial robots represented 70% of the $39.3 billion robotics market globally in 2017, growing from a 64% share in 2016. By the end of 2018, the market intelligence firm expects that non-industrial robots will rise to 76% of the total market, which will have grown to $52.7 billion by that time.
Tracticas analysis finds that most robotics industry growth is being driven by segments like consumer, enterprise, healthcare, military, unmanned aerial vehicles (UAVs), and autonomous vehicles.
The epicenter of robotics continues to shift from the traditional centers of Japan and Europe toward the emerging artificial intelligence (AI) hotbeds of Silicon Valley and China.
Tracticas report, Robotics Market Forecasts, covers the global market for robotics, including consumer robots, enterprise robots, industrial robots, healthcare robots, military robots, UAVs, and autonomous vehicles. These categories are further segmented into 23 robot application markets. Market data within the report includes robot shipments and revenue segmented by world region, application market, and enabling technology. The technologies included in the attach rate analysis are machine vision, voice/speech recognition, gesture recognition, and tactile sensors. The forecast period for this report extends from 2017 through 2025. An Executive Summary of the report is available for free download on the firm’s website.
Steve Levine in Axios Future of Work newsletter reports, “There is barely a peep from Washington in response to a widely forecast social and economic tsunami resulting from automation, including the potential for decades of flat wages and joblessness. But cities and regions are starting to act on their own.”
What’s happening: In Indianapolis, about 338,000 people are at high risk of automation taking their jobs, according to a new report. In Phoenix, the number is 650,000. In both cases, that’s 35% of the workforce. In northeastern Ohio, about 40,000 workers are at high risk.
Check it out on his website. I have mixed feelings on the issue. On the one hand automation has replaced humans in dull, dirty, and dangerous tasks. And…we are facing a coming labor shortage if demographic data suggestions hold out and politics inhibits immigration. On the other hand, we do have short term crises for people who can’t find work. That is a very real social and personal problem.
Rockwell OPC UA
I’ve written a couple of times lately about how Rockwell Automation has switched direction and adopted standard technologies OPC UA and TSN. It has just informed me that its FactoryTalk Linx software allows OPC UA communications across industrial IoT technologies from different vendors.
Companies can now take advantage of the OPC UA standard in Rockwell Automation products to achieve interoperability among their industrial IoT devices. Support for the vendor-neutral standard is provided through the FactoryTalk Linx communications software, which allows Rockwell Automation and third-party products to exchange data.
Schneider Electric Tricon update
Schneider Electric has released Tricon CX version 11.3, the most powerful version of its EcoStruxure Triconex safety instrumented system. This version embeds cybersecurity features within its flagship process safety system.
I am interested in good products, ethically produced, that perform a social good. I’ve invested in a local coffee house that buys coffee from a distributor/roaster who buys directly from the farmer. Not only does the farmer (and his workers) earn a living wage, the coffee is ethically grown, and also tastes great.
A message came my way this week about Peaceful Fruits. This young man joined the Peace Corps and worked every day for two years to make an impact on people’s lives in the Amazon rainforest. Living in the Suriname jungle, he worked jointly with indigenous tribes to build systems to preserve independence and sustainability.
It was here that Evan first tasted the acai berry — which grows naturally in the rainforest — and he decided to take the first step in helping to make advances in the food industry.
As the founder of Peaceful Fruits, an Akron, Ohio-based company specializing in whole fruit snacks, Evan speaks to this generation’s pursuit of nutrient-friendly, label-accurate, and eco-sensitive food. And with childhood obesity skyrocketing, it’s a great time to revisit which snacks our kids are eating on a daily basis. “The snack industry is slowly lurching forward because of increased consumer demand for healthier and more responsible options — and this is an opportunity to teach the next generation of kids that everyday food can be tasty, healthy and sustainable.”
His goal beyond changing the food industry is to educate and empower young people to pursue big goals that have big consequences. “Sure, I’m in the healthy fruit snacks business, but I’m really in the business of promoting wellness, sustainability and a cultural shift in how we think about what we put in our bodies.”
Living with technology a decade from now. Dell Technologies and the Institute for the Future conducted an in-depth discussion with 20 experts to explore how various social and technological drivers will influence the next decade and, specifically, how emerging technologies will recast our society and the way we conduct business by the year 2030.
There is no universally agreed upon determination of which technologies are considered emerging. For the purpose of this study, IFTF explored the impact that Robotics, Artificial Intelligence (AI) and Machine Learning, Virtual Reality (VR) and Augmented Reality (AR), and Cloud Computing, will have on society by 2030. These technologies, enabled by significant advances in software, will underpin the formation of new human-machine partnerships, according to the IFTF.
Talk of digital transformation is virtually everywhere in Information Technology circles and Operations Technology circles. My long and varied experiences have often placed me at the boundaries where the two meet—and are now increasingly overlapping.
The take on robotics is right on target. And forget about all the SciFi scare stories that mainstream media loves to promote. The future is definitely all about human-machine partnership or collaboration. For example I often talk with EMTs about life in the rescue squad. These people are always in the gym. Our population in the US has gotten so large and obese that they often have to lift 300+ lb. people who haven’t the strength to help themselves up. Think about a robot assistant helping the EMT.
The AI discussion is also fraught with prominent people like Ray Kurzweil or Elon Musk giving dystopian SciFi views of the future. We are a long way from “intelligence.” Where we are is really the use of machine learning and neural networks that help machines (and us) learn by deciphering recurring patterns.
Back to the study, the authors state, “If we start to approach the next decade as one in which partnerships between humans and machines transcend our limitations and build on our strengths, we can begin to create a more favorable future for everyone.”
Jordan Howard, Social Good Strategist and Executive Director of GenYNot, sees tremendous promise for the future of human-machine partnerships: “Many of the complex issues facing society today are rooted in waste, inefficiency, and simply not knowing stuff, like how to stop certain genes from mutating. What if we could solve these problems by pairing up more closely with machines and using the mass of data they provide to make breakthroughs at speed? As a team, we can aim higher, dream bigger, and accomplish more.”
Liam Quinn, Dell Chief Technology Officer, likens the emerging technologies of today to the roll-out of electricity 100 years ago. Quinn argues that we no longer fixate on the “mechanics” or the “wonders” of electricity, yet it underpins almost everything we do in our lives. Similarly, Quinn argues, in the 2030s, today’s emerging technologies will underpin our daily lives. As Quinn provokes, “Imagine the creativity and outlook that’s possible from the vantage point these tools will provide: In 2030, it will be less about the wonderment of the tool itself and more about what that tool can do.”
By 2030, we will no longer revere the technologies that are emerging today. They will have long disappeared into the background conditions of everyday life. If we engage in the hard work of empowering human-machine partnerships to succeed, their impact on society will enrich us all.
While offshoring manufacturing jobs to low-cost economies can save up to 65% on labor costs, replacing human workers with robots can save up to 90% of these costs.
China is currently embarking upon an effort to fill its factories with advanced manufacturing robots, as workers’ wages rise and technology allows the industry to become more efficient. The province of Guangdong, the heartland of Chinese manufacturing, has promised to invest $154 billion in installing robots.
Buoyed by their commercial success, the adoption of robots will extend beyond manufacturing plants and the workplace. Family robots, caregiving robots, and civic robots will all become commonplace as deep learning improves robots’ abilities to empathize and reason. Google recently won a patent to build worker robots with personalities.
Artificial Intelligence and Machine Learning
Approximately 1,500 companies in North America alone are doing something related to AI today, which equates to less than 1% of all medium-to-large companies. We’re seeing this in the financial services industry already, with data recognition, pattern recognition, and predictive analytics being applied to huge data sets on a broad scale. In a 2015 report, Bank of America Merrill Lynch estimated that the AI market will expand to $153 billion over the next five years—$83 billion for robots, and $70 billion for artificial intelligence-based systems.
In addition to their ability to make decisions with imperfect information, machines are now able to learn from their experiences and share that learning with other AI programs and robots. But AI progress also brings new challenges. Discussions surrounding who or what has moral and ethical responsibility for decisions made by machines will only increase in importance over the next decade.
Virtual Reality and Augmented Reality
Although both Virtual and Augmented Reality are changing the form factor of computing, there is a simple distinction between the two. VR blocks out the physical world and transports the user to a simulated world, whereas AR creates a digital layer over the physical world.
Despite the difference, both technologies represent a fundamental shift in information presentation because they allow people to engage in what Toshi Hoo, Director of IFTF’s Emerging Media Lab, calls “experiential media” as opposed to representative media. No longer depending on one or two of our senses to process data, immersive technologies like AR and VR will enable people to apply multiple senses—sight, touch, hearing, and soon, taste and smell—to experience media through embodied cognition.
Over the next decade, Hoo forecasts that VR, combined with vast sensor networks and connected technologies, will be one of many tools that enable distributed presence and embodied cognition, allowing people to experience media with all their senses.
It’s important to recognize that Cloud Computing isn’t a place, it’s a way of doing IT. Whether public, private, or hybrid (a combination of private and public), the technology is now used by 70% of U.S. organizations. This figure is expected to grow further, with 56% of businesses surveyed saying they are working on transferring more IT operations to the cloud, according to IDG Enterprise’s 2016 Cloud Computing Executive Summary.
While the cloud is not a recent technological advancement, cloud technology only really gathered momentum in recent years, as enterprise grade applications hit the market, virtualization technologies matured, and businesses became increasingly aware of its benefits in terms of efficiency and profitability. Increasing innovation in cloud-native apps and their propensity to be built and deployed in quick cadence to offer greater agility, resilience, and portability across clouds will drive further uptake. Start-ups are starting to use cloud-native approaches to disrupt traditional industries; and by 2030, cloud technologies will be so embedded, memories from the pre-cloud era will feel positively archaic by comparison.
Human Machine Partnership
Recent conversations, reports, and articles about the intersection of emerging technologies and society have tended to promote one of two extreme perspectives about the future: the anxiety-driven issue of technological unemployment or the optimistic view of tech-enabled panaceas for all social and environmental ills.
Perhaps a more useful conversation would focus on what the new relationship between technology and society could look like, and what needs to be considered to prepare accordingly.
By framing the relationship between humans and machines as a partnership, we can begin to build capacity in machines to improve their understanding of humans, and in society and organizations, so that more of us are prepared to engage meaningfully with emerging technologies.
Digital (Orchestra) Conductors
Digital natives will lead the charge. By 2030, many will be savvy digital orchestra conductors, relying on their suite of personal technologies, including voice-enabled connected devices, wearables, and implantables; to infer intent from their patterns and relationships, and activate and deactivate resources accordingly.
Yet, as is often the case with any shift in society, there is a risk that some segments of the population will get left behind. Individuals will need to strengthen their ability to team up with machines to arrange the elements of their daily lives to produce optimal outcomes. Without empowering more to hone their digital conducting skills, the benefits that will come from offloading ‘life admin’ to machine partners will be limited to the digitally literate.
Work Chasing People
Human-machine partnerships will not only help automate and coordinate lives, they will also transform how organizations find talent, manage teams, deliver products and services, and support professional development. Human-machine partnerships won’t spell the end of human jobs, but work will be vastly different.
By 2030, expectations of work will reset and the landscape for organizations will be redrawn, as the process of finding work gets flipped on its head. As an extension of what is often referred to as the ‘gig economy’ today, organizations will begin to automate how they source work and teams, breaking up work into tasks, and seeking out the best talent for a task.
Instead of expecting workers to bear the brunt of finding work, work will compete for the best resource to complete the job. Reputation engines, data visualization, and smart analytics will make individuals’ skills and competencies searchable, and organizations will pursue the best talent for discrete work tasks.
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.