Machine vision technology and applications continue to hold a spot in my heart even though it became less interesting to me over the years. My $25K system from 1993 went to $10K by 1996 to $5K and under by 2000, all the while becoming more powerful and easier to use. However, I’ve lately talked with a company working on Artificial Intelligence for machine vision. It seems to be getting some traction. Here are two recent releases.
Landing AI and the Association for Advancing Automation (A3) have released a report from a survey covering a range of topics, including the level of adoption, benefits, and challenges of implementing AI-based visual inspection.
“As evidenced by the survey, AI-based machine vision is already creating value for the manufacturing industry, with proven benefits including improved accuracy, flexibility, and reduced cost,” said Dongyan Wang, Vice President of AI Transformation at Landing AI. “The availability of easy-to-use AI tools specifically designed for visual inspection will drive further industry adoption and bring the benefits of AI to more organizations.”
The report from Landing AI and A3 found that companies have a high degree of confidence in the effectiveness of AI, with 55% of respondents saying their overall opinion is either high or very high. The survey showed that 26% of respondents have adopted AI-based machine vision while 41% say they plan to in the future. Of those who are using AI, improved accuracy is the top benefit (62%).
While implementing AI, the primary challenge is scarcity of data on which to train AI models, noted 62% of manufacturers. Companies were also concerned about scalability as solutions moved out of pilot programs, with 27% saying they struggled when moving from proof-of-concept to initial deployment.
Additional findings from the Landing AI and A3 report include:
- In a heavily automated sector, manual inspection is still playing an important role, with 40% saying their inspection is either completely or mostly manual.
- The confidence level of businesses regarding AI effectiveness is high with 26% saying they are already using AI for visual inspection.
- When it comes to using AI, scarcity of data, complexity of integrating AI within existing infrastructure, and the inability to achieve lab results in production are the top three challenges.
- Most businesses prefer to have ownership of their AI projects either by developing in-house or by working with a vendor.
AI Visual Inspection Platform to Improve Quality and Reduce Costs
Meanwhile, Landing AI unveiled LandingLens, an end-to-end visual inspection platform specifically designed to help manufacturers build, deploy, and scale AI-powered visual inspection solutions.
“AI-powered visual inspection solutions have demonstrated clear advantages over conventional methods, yet the overall adoption is slow as many companies get stuck after some small-scale proof-of-concept projects,” said Andrew Ng, founder and CEO of Landing AI. “LandingLens, developed with the know-how and expertise from building and shipping many visual inspection projects, is best positioned to bridge the gap and enable teams to succeed. With an intuitive interface, Landing AI’s visual inspection platform allows even non-AI experts to train and deploy a model with a few clicks, putting the ownership of the solution in the hands of users so they can build and update the solutions without being beholden to a third-party AI team.”
- Defect and Data Management: A robust data preparation module helps customers improve efficiency and produce more accurately labeled data, resulting in better performing models in less time.
- Model Iteration: Training and evaluation tools enable users to rapidly develop a deployment-ready model.
- Continuous Learning: Inference and monitoring modules allow users to scale their AI solutions by enabling them to deploy production-ready models to the edge with ease, while continuously monitoring those deployments from a central location.
- Reduced Project Lifecycle: Reduces the AI project development life cycle time by up to 67%.
- Cost reduction: Reduce the overall AI development and deployment costs by up to 60%
- Improved Accuracy: Improves accuracy of Machine Learning models through more accurately labeled data
- Scaling: Enable users to effectively scale to multiple production lines across many factories
In a continuation of Sensor Day at The Manufacturing Connection, here is an announcement about an Industrial quantum sensor development.
- Cooperation agreement on development of industrial quantum sensor signed
- Successful functional test of the world’s first quantum optical sensor for serial production
- First sensors in industrial use from 2021
- Experts estimate total market for quantum sensors at about EUR 1.1 bn. by 2023
The wholly owned TRUMPF subsidiary Q.ANT and sensor specialist SICK will in future work together on the development of quantum optical sensors. Representatives of the two high-tech companies signed a cooperation agreement in early November 2020 to make quantum technology for sensors available for industrial use.
Quantum sensors enable measurements with unprecedented accuracy. The signing was preceded by a successful functional test of the world’s first quantum optical sensor for serial production.
“SICK is expanding its position as a worldwide technology leader in the sensor sector by embarking on the production of quantum sensors. Quantum sensors are a key technology for the future of industry,” says Robert Bauer, Chairman of the Executive Board of SICK AG.
As a market and technology leader for industrial sensors, SICK will be responsible for application development and sales of the product. As a specialist in quantum technology, the TRUMPF subsidiary Q.ANT takes on production of the measurement technology – and thus the sensor’s core technology.
“Quantum technology is an enormous opportunity for German and European industry. This will be the first time that the partnership between our two high-tech companies will involve a product for serial production. The quantum sensor enables highly accurate measurements and will provide insights that will lead to completely new industrial applications,” says Peter Leibinger, Chief Technology Officer at TRUMPF. The first use of the new quantum sensors is planned for 2021.
Highly precise measurements of the smallest of particles
Quantum sensors have hitherto mainly been used in research. For the first time, Q.ANT and SICK have now successfully completed functional tests for an industrial application.
“Quantum technology enables, for example, ultrafast measurements of the movement and size distribution of particles. With industrialization of these sensors, not just us but Germany – as a high-tech location – takes a major step towards the commercialization of quantum technology,” says Michael Förtsch, CEO of Q.ANT.
Using laser light, quantum sensors permit highly efficient measurements that would be impossible with conventional processes.
“Quantum technology is the next level for sensors because it shifts hitherto firmly established technical limits. Using quantum effects, additional details can be perceived from signal noise where, up to now, no specific signals would have been measureable. This enables the measurement of particles that are about two hundred times smaller than the width of a human hair,” says Niels Syassen, Senior Vice President R&D at SICK and responsible for the project there. The quantum sensors will initially be used for analyzing substances in air.
Industrialization leads to increased market volume
Quantum sensors could in future become everyday equipment in various industries: For example, they could be used in civil engineering to visualize underground structures before construction work begins; in the pharmaceutical industry they could make it easier to determine the best composition of tablet powder; in the electronics sector circuits could be inspected through surfaces; and highly accurate measurements could be made in industry in general. The market for quantum sensors could grow steadily with industrialization. Experts at Germany’s National Academy of Science and Engineering (Acatech) estimate the worldwide market volume of industrial quantum sensors at about EUR 1.1 bn. by 2023.
Additive manufacturing has grown with the combination and coordination of design with automation. Material science has been the key to further exponential growth. Here, Siemens demonstrates polymer manufacturing. This are just keeps expanding. Lots of opportunities here.
Siemens is presenting its Digital Enterprise Portfolio for the industrialization of additive manufacturing as well as innovations with partners at Formnext Connect. One highlight is the partnership with EOS and DyeMansion. Together, the three companies will present the first virtual additive manufacturing reference factory for selective laser sintering with polymers.
Using the example of a midsole for footwear applications in which parameters such as design, fit, and color are individually and economically taken into account, Siemens, EOS and DyeMansion will demonstrate what the next step towards the industrialization of selective laser sintering with polymers can look like along the entire production chain.
“The automated chain of coordinated production steps from all suppliers, from design and printing to post-processing, as well as end-to-end IT integration, is crucial for high productivity and maximum flexibility. This applies to series parts as well as to a highly flexible lot-size-1 production for individualized products or spare parts,” explains Dr. Karsten Heuser, Vice President Additive Manufacturing at Siemens Digital Industries. “With the end-to-end digitization and automation solutions from Siemens, we have succeeded, together with our partners EOS and DyeMansion, in creating a seamlessly integrated end-to-end value chain for industrial additive manufacturing with selective laser sintering and industrial post-processing solutions using polymers.”
For volume production, the EOS P 500, which can be seamlessly integrated into an automated production, is being used within this cooperation. Markus Glasser, Senior Vice President EMEA at EOS explains, “Our EOS P 500 manufacturing platform is ideally suited for laser-sintering of plastic parts on an industrial scale: One of the key advantages is the extensive automation capability for comprehensive productivity while maintaining consistently high part quality. This ensures economical component costs and allows the production of additive-manufactured components even overnight”.
For small, highly flexible AM factory cells, the FORMIGA P 110 systems are being used, which can now also access the Siemens NX design tools directly thanks to the EOSPRINT integration. With the NX design tools, users can design complex lattice structures and, using the example of the footwear application, simulate the digital twin of the created midsole in action on the people who wear it. Starting in December, NX will allow the seamless integration of arbitrarily complex shapes and structures into the design process using mathematical equations in order to make even greater use of the advantages of additive manufacturing for product design.
When it comes to post-processing, DyeMansion’s coordinated three-step print-to-product workflow allows scaling from prototyping or small series production to additive series production. The integrated Siemens automation can be implemented in industrial shop-floor IT and offers optimized maintenance and operator handling. Felix Ewald, CEO & Co-Founder of DyeMansion about the new partnership: “Bringing the manufacturing technology of the future to series production level together with Siemens and EOS is a major task that we are proud to accomplish. Digitally integrated, automated and with the clear goal of providing solutions at the highest industrial level, we are united on this path.”
With its Digital Enterprise Portfolio, Siemens offers the full use of digital twins, which reflect the real world for technology providers and users, to ensure that a component is manufactured right the first time it is printed. Based on the digital twin, a flexible and scalable manufacturing concept is being developed and validated that meets the productivity and cost requirements of traditional mass production even before the production starts.
· Honeywell’s Immersive Field Simulator incorporates virtual reality to provide plant operators and field technicians with a detailed, accurate training environment
· Improves training times beyond traditional classroom-based learning and minimizes situations that can result in operational downtime
Many technology pundits have commented that Virtual Reality is a solution looking for a problem. I’ve long believed that, aside from gaming, VR is most useful to us as a training tool. I’ve drawn that idea from the many demos I have seen over the past few years. And it just keeps getting better. This week I had an opportunity to talk with Vincent Higgins, global director of technology and innovation for Honeywell, and receive a demo of the training capabilities Honeywell has developed so far using VR. The product is called Immersive Field Simulator.
After talking with Higgins, I remain convinced that we have only just begun to tap into the capabilities of VR for production and manufacturing.
Honeywell announced the introduction of an advanced industrial training solution that combines 3D immersive technology with industry-leading operator training simulation to create a collaborative learning environment for plant operators and field technicians. Honeywell’s Immersive Field Simulator is a virtual reality (VR) and mixed reality-based training tool that incorporates a digital twin of the physical plant to provide targeted, on-demand, skill-based training for workers.
“Faced with increasingly complex technology and an experienced workforce nearing retirement, operators need robust technical training and development solutions that accurately depict real-world environments,” said Pramesh Maheshwari, vice president and general manager, Lifecycle Solutions and Services, Honeywell Process Solutions. “Traditional training approaches often fail to meet the mark when it comes to helping panel and field operators and maintenance technicians in process plants become better at their jobs. The result can be reliability issues and increased operational incidents.”
The Immersive Field Simulator offers a smooth, virtual walkthrough to familiarize workers with the plant. It includes avatars that represent virtual team members. The simulator’s cloud-hosted, device-agnostic platform, which incorporates flexible 3D models, grows with the user as plant operations change. The simulator is customizable to meet specific instructional needs and project team members and plant subject matter experts can easily create customized training modules.
Honeywell’s Immersive Field Simulator transforms training for today’s digital-native workforce, enabling employees to learn by doing while increasing knowledge retention, minimizing situations that can result in operational downtime improving competencies across a variety of areas.
“With our end-to-end solution, console and field operators can practice different operating and safety scenarios, including rare but critical situations, in a safe, simulated environment,” said Maheshwari. “This approach significantly improves upon current training tools and methods. VR-based training boosts confidence and retention while improving overall professional skills. Experience shows that students using VR can learn significantly faster than in the classroom.”
Honeywell’s Competency Management program, which includes the simulator training, is built upon decades of workers’ experiences using integrated control and safety systems. Honeywell has incorporated this experience into state-of-the-art competency-based offerings that improve worker performance and safety.
To learn more about the Immersive Field Simulator, please visit Honeywell’s Competency Management program.
The Open Process Automation Forum strives for a software-defined industrial control system where the hardware and software are dissociated. The specific reason is that upgrades become less expensive. Software must be upgraded more often than hardware in a control system. If the two are tied together as in all proprietary control systems, then upgrades run on a continuum from painful to impossibly expensive.
I’ve been puzzling out this press release from Schneider Electric about a new control software dubbed EcoStruxure Automation Expert. The company says, “it is the world’s first software-centric industrial automation system.” I’m not sure that claim would stand up exactly, but it seems to me that this is a step on that journey toward dissociating software and hardware in the control system. Executives have told me in the past few years that achieving this is an essential long-term strategy.
Any comments you all have about this are welcome (as long as they’re civil and enlightening).
The press release is written in the tone of a challenge to the rest of the industry to write “apps” that will run on this standards-based (IEC-61499) system.
Schneider Electric promises to unleash a new wave of innovation by championing the widespread adoption of open automation standards unveiling its vision for universal automation with EcoStruxure Automation Expert, “a new category of software-centric industrial automation system.”
Claims closed and proprietary automation platforms restrict the adoption of best-of-breed technologies, present challenges to integrate third-party components, and are expensive to upgrade and maintain. Industry has suffered from a lack of adaptability, modularization and interoperability, which is stunting innovation.
Universal automation is the world of plug and produce automation software components based on the IEC61499 standard that solve specific customer problems in a proven way. Adoption of an IEC61499-based standardized automation layer, common across vendors, will provide limitless opportunities for growth and modernization across industry.
By greatly extending the capabilities of existing IEC61131-based systems and enabling an app-store-like model for automation software components, Schneider Electric believes that the advancements possible in the Fourth Industrial Revolution will be fully realized. As its benefits become visible, Schneider Electric believes other vendors will adopt the universal automation approach, and end users will soon begin to demand it from their automation suppliers and ecosystem.
“The IT world has realized the benefits of open operating platforms; now it’s industry’s turn,” said Peter Herweck, executive vice president industrial automation, Schneider Electric. “Industrial automation architectures have done a good job of advancing industry to where we are today, but they are not capable of providing the agility and resilience that are paramount for modern industrial operations. To fully realize the promise of the Fourth Industrial Revolution, we need to reimagine our technology model by opening our platforms, decoupling software from hardware, and radically improving system agility and scalability.”
EcoStruxure Automation Expert is a new category of industrial automation system with IEC61499 at its core. EcoStruxure Automation Expert:
- Enables automation applications to be built using asset-centric, portable, proven-in-use software components, independent of the underlying hardware infrastructure.
- Allows the user to distribute applications to any system hardware architecture of choice —highly distributed, centralized, or both — with minimal to no additional programming effort.
- Supports established software best practices to simplify the creation of automation applications that interoperate with IT systems.
The first release of EcoStruxure Automation Expert supports traditional automation platforms, such as Modicon PLCs, and Altivar Variable Speed Drives and PCs. Completing the line-up, a virtualized software controller running in Docker-powered Linux containers supports distributed information and control systems across edge computing architectures.
Leveraging the object-oriented nature of IEC61499, software components known as Composite Automation Types (CATs) are used to model assets by combining real-time control functions with other facets, such as the human machine interface. This asset-centric approach delivers unprecedented cost and performance gains and frees engineers to innovate by automating low-value work and eliminating task duplication across tools. Benchmarking of EcoStruxure Automation Expert against today’s automation systems has demonstrated a 2 to 7X reduction in the time it takes to perform traditional automation tasks.
EcoStruxure Automation Expert’s support for mainstream IT best practices enables step-change improvements in asset and workforce efficiency using advanced technologies like predictive maintenance and digital twin. The system also reduces total cost of ownership by incorporating legacy systems with a wrap-and-reuse approach.
“EcoStruxure Automation Expert is the first step in the journey toward universal automation” said Fabrice Jadot, senior vice president, next generation automation, Schneider Electric. “To fully realize the potential of next-generation industries, we must embrace a new way of thinking. Working to common, open standards is vital to ensuring multivendor interoperability and seamless interfaces from supply chain through manufacturing and production to the end customer. Now is the time for all vendors to fully embrace open implementations with code and function portability to become more connected. Today is the first step in a new direction. We invite industrial developers everywhere to create their own software components and solutions based on the IEC61499 standard, which can easily interoperate with EcoStruxure Automation Expert.”
Looking for an opportunity to learn about the leading edge of Open Source community work? Check out the Open Networking & Edge Summit next week.
- Deep Dive demonstrations on 5G, Edge, IOT, O-RAN, AI, Cloud Native & CNFs covering most important enterprise, cloud and telecom use cases
- Expert live sessions on “Why Open Source for Edge?” answered – Over 75% say collaborative market creation and adoption acceleration are top factors for participating in open source
- Total value of software created by shared innovation model totals $7.3B (2000+ Devs over 6+ years), according to new COCOMO research, “Estimated Development Value of LFN Software”
- 5 tracks, 13 keynote presentations, 80+ sessions with thousands of peers attending to collaborate on business value of open networking & edge
The Linux Foundation, the nonprofit organization enabling innovation through open source, has marked significant progress in the open networking and edge spaces. In advance of the Open Networking and Edge Summit happening September 28-30, Linux Foundation umbrella projects LF Edge and LF Networking demonstrate recent achievements highlighting trends that set the stage for next-generation technology. “We are thrilled to announce a number of milestones across our networking and edge projects, which will be on virtual display at ONES next week,” said Arpit Joshipura, general manager, Networking, Edge and IOT, at the Linux Foundation. “Indicative of what’s coming next, our communities are laying the groundwork for markets like cloud native, 5G, and edge to explode in terms of open deployments.” Recent Acceleration within Networking & Edge includes:
- LFN is shepherding the culmination of Cloud Native and 5G (5G Cloud Native demo, OVP, which now includes Cloud Native requirements).
- The industry is becoming accustomed to a new way of compliance and verification out in the open (via OVP) – be it cloud native, 5G, Edge, or otherwise.
- SDN + NFV: OPNFV celebrates its sixth birthday as CNTT prepares to issue its Baraque release; meanwhile, OpenDaylight issues Aluminum, its 13th release.
“We are together in a tough period. Thanks to all developers and contributors of LFN and LF Edge to tirelessly propel various projects to be on the trac,” said Dr. Junlan Feng, chief scientist at China Mobile, general manager of AI and Intelligent Operation R&D Center, and LFN Board chair. “Cloud Native and 5G are also top priorities of China Mobile to strengthen the experience of our customers. For moving forward, we see there is a great opportunity to fuse together network automation and network intelligence through ONAP, Acumos, Edge, etc. EUAG under LFN is conducting a study to collect and analyze the common requirements of 5G and intelligent network in our industry. We as a community will continuously work together. Thanks to Linux Foundation for taking the lead.”
At the edge, unification has happened and projects (e.g., Akraino, EdgeX Foundry, and Fledge) have delivered deployable code. And the new LF Edge Vertical Solutions Group is working to enable easily-customized deployments based on market/vertical requirements. Opportunities exist for end users across verticals – e.g., enterprise, automotive, industrial – to participate in shaping the direction of how open source gets deployed at the edge.
Join the launch event, “Launching the LF Edge End User Community” on October 1, co-located with ONES. “Open source collaboration from edge to network is critical to achieve compatibility and complementarity. ONES is THE event for communities to come together – learning about the latest trends in projects and determining how to evolve technology across boundaries and borders, ” said Melissa Evers-Hood, governing board chair for LF Edge and vice president, Intel Architecture, Graphics and Software, Software Business Strategy.
Technology in action at Open Networking & Edge Summit
See innovation in action during the virtual ONES event, September 28-30 and immerse yourself in the latest open source innovations across networking and edge with community-driven demos in the LF Networking & LF Edge Pavilion. The demos will be open throughout the event but visit during booth hours to engage with the demo managers and ask questions. Key demonstrations include:
- OVP Automation DevOps: Agile Adoption in VNF/CNF based Network Service Industry: This demo will leverage ONAP SDC, ONAP VF-C, and OVP VTP projects to build DevOps for OPNFV Verification Program end-to-end VNF and Network service testing which helps to address agility, automation, and testing challenges.
- Self-Healing Using Streaming Analytics & Observability for Latency Sensitive Kubernetes Workloads: This demo showcases components necessary towards zero touch infrastructure automation using Kubernetes enhancements, streaming analytics, host telemetry, and a viable path to deployment.
- Real-Time Sensor Fusion for Loss Detection: This demo shows how different sensor devices can use LF Edge’s EdgeX Foundry open-middleware framework to optimize retail operations and detect loss at checkout.
- Managing Industrial IoT Data Using LF Edge: LF Edge projects EVE and Fledge will show how they can securely manage, connect, aggregate, process, buffer and forward any sensor, machine or PLC’s data to existing OT systems and any cloud.
The event also features expert keynote speakers, 80+ sessions, and five separate tracks, including: Business Critical & Innovation; Carriers: Core/Edge/Access; Cloud Networking & Edge; Enterprise, Networking & Edge; and Sponsored Tutorials.Due to the current COVID-19 outbreak, ONES is being offered virtually for only $50 US. Register today and join the community September 28-30:
Support from Project Technical Steering Committee Chairs
“Launched in 2018, and founding project of LF Edge umbrella, Akraino delivers an open source software stack that supports a high-availability cloud stack optimized for edge computing systems and applications. With three successful releases, the community of over 40+ companies engaged worldwide, more than 20 fully integrated edge blueprints, blueprints tested in 15 user labs and a community lab, and a growing list of user deployments across the globe, Akraino truly become the enabler of edge computing use cases across Telco, IoT, Cloud, and Enterprise use cases,” said Kandan Kathirvel, TSC-Chair, AT&T, and Tina Tsou, co-chair, Arm. “This ONES event will be an opportunity to learn more about the edge use cases and Akraino solutions to it.”
“EdgeX Foundry is in its 4th year of development as a Linux Foundation project.With 6 successful releases, a community of over 180 committers worldwide, more than 7 million container downloads, and a growing list of commercial companies adopting and using EdgeX (like Accenture, HP, ThunderSoft, Tibco, IOTech Systems, and Jiangxing Intelligence), we believe EdgeX has established itself as one of, if not the, premier open source edge solution frameworks,” said Jim White, TSC Chair, EdgeX Foundry and CTO of IOTech. “We are excited that ‘edge’ has been incorporated into the formerly Open Network Summit, and we are looking forward to our participation in the new “edge” tracks with our fellow LF Edge project members.”
“Fledge is an open source framework and community for the industrial edge focused on applications for critical operations, condition-based monitoring, predictive maintenance, quality, situational awareness and safety. Fledge integrates IIoT, sensors, machines, processes and other industrial assets with existing ISQ95 systems and the cloud” said Mark Riddoch, Fledge TSC Chair. ” Fledge 1.8 is a mature, field-tested solution operating in power generation/transmission/distribution, water and wastewater processing, oil and gas, discrete manufacturing, pharma and professional auto racing. We invite manufacturers, equipment suppliers, system integrators, and partners to use Fledge and join our community as we grow THE open source application stack for industrial transformations.”
“Being a young stage one project, Open Horizon is grateful for the opportunity to meet so many people active in the open source networking and edge computing areas. Despite not being able to meet face-to-face, the Linux Foundation’s LFN and LF Edge have provided us with a great format that allows us to have personal, in-depth discussions with anyone who is interested from the comfort of home, and without needing to shout over the crowds to be heard. We hope you’ll come visit us and enjoy our short demo,” said Joe Pearson, TSC chair, Open Horizon and Technology Strategist, and IBM Cloud.
“This event will be an opportunity to learn about the pivotal changes, new emphasis, and growth in the OPNFV community. OPNFV’s conformance testing and infrastructure projects, led by the contributions of Orange and many other industry leaders, will soon benefit from even more Telco participation as the CNTT task force members merge with OPNFV. Also, we have paid-forward our successes by taking-on many Linux Foundation Networking Interns in OPNFV this year. Join us and hear our stories,” said Al Morton, OPNFV TSC Chair.
“Our ONAP Community is actively working on the certification of our 7th Major Release (Guilin) scheduled for the end of this year. This release continues to increase the support for 5G in areas of network slicing and O-RAN integration, ETSI (e.g. SOL007) and 3GPP standards, as well as our E2E CNF Orchestration chain,” said Catherine Lefevre, AVP-Network Cloud and SDN Platform Integration, AT&T, and chair of the ONAP Technical Steering Committee. “The ONES Summit is a great event where enterprises who have embraced ONAP can showcase their latest innovations. Also, do not miss our demo corners, which will illustrate areas such as: Onboarding 5G CNFs with ONAP, Policy-based RAN Management using O-RAN’s Open-Source Non-RealTime-RIC, ONAP Policy Framework Integration with Bell Canada’s Control Loop Use-cases, and much more. We also invite you to our special panel, ‘ONAP & Cloud Native – the Best of the Two Worlds’, where we will present an overview of our ONAP Cloud Native journey.”
State of the Edge (SOTE)
“As edge computing goes mainstream it will bring forth a wave of technologies that require cooperation across the entire ecosystem to deliver value to end customers,” said Matt Trifiro, CMO of Vapor IO and co-chair of The Linux Foundation’s State of the Edge project. “The Open Networking and Edge Summit creates opportunities for technologists and end users to collaborate around open source for edge and networking that will revolutionize the cloud, robotics, artificial intelligence, healthcare, manufacturing, data centers, mobile devices, smart cities, and autonomous vehicles.”