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February 2020

NRF2020: HP Shares Details About the Retail IoT Edge Gateway Concept Powered by EdgeX Foundry

By Blog, EdgeX Foundry

Written by Sandip Kamat, Retail Solutions Product Management at HP and an active member of the LF Edge Outreach Committee

Retail is changing

The retail market is going through a major transformation powered by technology. Like any modern business, collecting and acting on relevant data in real time is critical to effective decision making for retailers. Many e-commerce businesses have proven this already and it is time we brought the same level of analytics in brick and mortar stores. Many leading retailers are indeed looking to deploy sensor-based solutions to solve key challenges such as inventory management, workforce optimization, theft detection and promotion effectiveness.

However, the solutions in the market today for these areas are either standalone (focused on 1 or 2 use cases only with their own data silo’s), or they are custom-built (proprietary) making it harder to integrate with other systems deployed in the store. Thus, integrating all the relevant data from these disparate systems remains a distant reality.

Figure 1 HP booth at NRF2020

Why open framework

A desired solution in this scenario should be something that equips not only the decision makers with real-time insights, but also the IT managers with an ability to customize. This is where having an open framework becomes essential. We at HP believe that the Open framework based retail IoT gateways will help liberate the sensory data streams that are currently trapped in various silos. Bringing these streams together will then help create powerful and actionable insights in real time for the retail vertical and beyond. This is the reason HP joined the board of LF Edge, as well as the Open Retail Initiative (ORI) by Intel. LF edge is building an Open Source framework for the edge and has over 30 major companies working together to make this happen. ORI is a collaborative effort led by Intel and top technology companies who believe that open, accessible solutions will accelerate iteration, flexibility, and innovation at scale.

The retail IoT gateway showcased in a Demo at NRF2020

To address the pain points mentioned above, HP partnered with Intel and a few other companies to showcase a retail IoT gateway.

Figure 2 Click for the video embedded in the tweet

It is powered by an open framework from LF Edge’s EdgeX Foundry and utilizes HP’s MP9 system with an 8th Gen Intel Core Processor. This open-framework cuts time-to-deployment (the demo came together in a matter of weeks) and seamlessly integrates into compatible sensors and cloud engines. In this case, we showcased a theft detection solution at self-checkouts. The gateway seamlessly brought together data streams from camera, barcode scanners, weight scale to flag suspicious events that the store managers then can discreetly monitor those to avoid theft before it happens.

The same gateway would work for other use cases – Depending on the problem statement at hand, different sensors can be integrated into the gateway for completely different metrics. For example, adding an RFID stream could help solve inventory management and in-store tracking.


Figure 3 HP retail IoT gateway Demo (Theft Detection at self-checkouts)

If you are a retailer, hospitality operator, ISV or a technology enabler company, we would like to hear from you. Let us know if you have a use case that you’d like to work together on.  Collaborate on the EdgeX Vertical Solutions Working Group.  Contribute to the EdgeX Foundry project or influence standards by becoming and LF Edge member and share implementation stories such as these.


LF Edge Member Spotlight: Netsia

By Akraino Edge Stack, Blog, LF Edge, Member Spotlight

The LF Edge community is comprised of a diverse set of member companies that represent the IoT, Enterprise, Cloud and Telco Edge. The Member Spotlight blog series highlights these members and how they are contributing to and leveraging open source edge solutions. Today, we sat down with Madhu Kashyap, Director of Product Management for Netsia, to discuss the importance of a open source, their infrastructure and need for communication at the edge, how they contribute to the Akraino Edge Stack project and the impact of being a member of the LF Edge community.

Can you tell us a little about your organization?

Netsia develops fixed broadband and wireless solutions for the telecom industry. Netsia’s vision is to provide a shared infrastructure for fixed mobile convergence at the edge.  

Netsia’s SEBA (Software-Enabled Broadband Access) solution transforms the traditional Passive Optical Network (PON) used in fixed access networks (FTTx) through an open, programmable, cloud-native, vendor agnostic future-proof platform, that is based on Cloudification, Virtualization, Software Defined Networking (SDN) and Network Functions Virtualization (NFV). It leverages network disaggregation, open source software and white box economies at the network edge.

Why is your organization adopting an open source approach?

Netsia is an active participant in open source communities and standards bodies and provides enriched telco-grade distributions of open source platforms in a continuous manner with long term support.

Communication Service Providers (CSPs), both fixed and mobile, are looking to transform their PoPs (Point of Presence) / Central Offices (COs) as edge clouds. The current architecture is rigid, closed, monolithic and purpose-built leading to high CAPEX and OPEX due to vendor lock-in. CSPs want to use virtualization, cloudification, SDN, NFV technologies by leveraging open source software and disaggregated white boxes.

Open source software helps Netsia to gather CSPs’ requirements and share the cost of development with the community. Netsia adds value by hardening and productizing open source.

Why did you join LF Edge and what sort of impact do you think LF Edge has on the edge, networking, and IoT industries?

Netsia is focused on the Edge. CSPs are looking to consolidate various access network technologies to a common management platform that includes SDN controller, orchestration, VIM etc.  while addressing the latency and bandwidth demands of 5G networks.

The LF Edge community provides the industry with a solid foundation for managing the edge with its development of blueprints across different domains and shaping the future of edge networking and IoT.

What do you see as the top benefits of being part of the LF Edge community?

LF Edge provides a dedicated forum of like-minded organizations be it operators or vendors who believe in openness through design, architecture, APIs or code to drive  edge transformation. By participating in LF Edge, Netsia stands to gain from the collective innovation that drives the industry forward. With a community like this the whole is greater than the sum of the parts and organizations can benefit greatly from the different perspectives and ideas that are generated in the course of project planning, design and implementation. 

What sort of contributions has your team made to the community, ecosystem through LF Edge participation?

Netsia is actively involved in the Akraino project and the SEBA Blueprint.

What do you think sets LF Edge apart from other industry alliances?

 Being part of the LF umbrella opens many doors and adds significant heft to initiatives that are taken seriously by the industry. Harmonization with other open source communities and working with upstream projects LF Edge makes sure there is no duplication and overlap of effort.

How will  LF Edge help your business?

As LF Edge blueprints get adopted by industry it helps Netsia by differentiating itself in a highly competitive field. LF Edge provides the name recognition and brand that is recognized in the industry as innovating with cutting edge technology.

What advice would you give to someone considering joining LF Edge?

Netsia would definitely encourage and advocate for anyone considering LF Edge membership. The level of commitment by the community is unparalleled and provides high visibility to member organizations through events and other marketing activities.

To learn more about Akraino Edge Stack, click here. To find out more about our members or how to join LF Edge, click here.

Additionally, if you have questions or comments, visit the  LF Edge Slack Channel and share your thoughts in the #community or #akraino channels. 

Linux Foundation, LF Networking, and LF Edge Announce Keynote Speakers for Open Networking & Edge Summit North America 2020

By Announcement


  • Industry’s Premier Open Networking & Edge Conference Features Keynote Speakers from AT&T, CNCF, Deutsche Telekom AG, Edgeworx, Equinix, Ericsson, Google, Huawei, IBM, Rakuten Mobile and more 
  • The full conference schedule will be announced on March 5th featuring business, technical and architectural sessions


SAN FRANCISCO, February 20, 2020The Linux Foundation, the nonprofit organization enabling mass innovation through open source, along with co-hosts LF Networking, the umbrella organization fostering collaboration and innovation across the entire open networking stack, and LF Edge, the umbrella organization building an open source framework for the edge, today announced initial keynote speakers for Open Networking & Edge Summit (ONES) North America 2020. The event takes place April 20-21 in Los Angeles, California. 

Open Networking & Edge Summit (formerly Open Networking Summit) is the industry’s premier open networking event now expanded to comprehensively cover Edge Computing, Edge Cloud and  IoT. The event enables collaborative development and innovation across enterprises, service providers/telcos and cloud providers to shape the future of networking and edge computing with a deep focus on technical, architectural and business discussions in the areas of Open Networking & AI/ML-enabled use cases for 5G, IoT, Edge and Enterprise deployment, as well as targeted discussions on Edge/IoT frameworks and blueprints across Manufacturing, Retail, Oil and Gas, Transportation and Telco Edge cloud, among other key areas.

Keynote speakers this year include:

  • Andre Fuetsch, Executive Vice President & Chief Technology Officer, AT&T Services, Inc.
  • Dan Kohn, Executive Director, Cloud Native Computing Foundation
  • Alex Choi, Senior Vice President of Strategy and Technology Innovation, Deutsche Telekom AG
  • Farah Papaioannou, Co-Founder and President, Edgeworx, Inc.
  • Anders Rosengren, Head of Architecture & Technology, Ericsson
  • Justin Dustzadeh, Chief Technology Officer, Equinix
  • Aparna Sinha, Director of Product Management, Google Cloud
  • Bill Ren, Chief Open Source Liaison Officer, ICT Infrastructure Open Source GM, Huawei
  • Marisa S. Viveros, Vice President of Strategy and Offerings, IBM
  • Ashiq Khan, Head of Cloud and NFV, Rakuten Mobile, Inc.
  • Arpit Joshipura, General Manager, Networking, Edge & IoT, The Linux Foundation
  • Heather Kirksey, Vice President, Community and Ecosystem Development, The Linux Foundation

Additional keynote speakers, as well as the full schedule of sessions, will be announced the first week of March.

Conference Registration is $950 through March 10, 2020 with additional registration options available including $300 Hall Passes, $600 Academic Passes, and $500 Student Passes.  Non-profit and group discounts are available as well; details are available on the event registration page. Members of The Linux Foundation and Linux Foundation Projects (including LFN and LF Edge) receive a 20 percent discount on all registration fees; contact to request a member discount code. Applications for diversity and needs-based scholarships are currently being accepted; for information on eligibility and how to apply, please click here.

Open Networking and Edge Summit North America 2020 is made possible thanks to Platinum Sponsors Cloud Native Computing Foundation, Ericsson, and Huawei, Gold Sponsor IBM, and Silver Sponsor Red Hat. For information on becoming an event sponsor, click here.  

Members of the press who would like to request a press pass to attend should contact Jill Lovato at

Additional Resources 

About The Linux Foundation
The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and industry adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at

The Linux Foundation Events are where the world’s leading technologists meet, collaborate, learn and network in order to advance innovations that support the world’s largest shared technologies.

The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page:

Linux is a registered trademark of Linus Torvalds.



Akraino Edge Stack Use Cases: Baidu’s End User Story

By Akraino Edge Stack, Blog

Written by Baidu representatives who actively participate in Akraino’s TSC

Edge scenarios are very important commercial scenarios for AI applications. There are many type of hardware, OSes, etc. It is hard for AI application providers to adapt their products to all these edge components. Fortunately, the Akraino community and LF Edge member companies can help to do the validation/development or to support their products. The AI application providers need to state their requirements or cooperate with member companies in their Blueprint validation/integration labs. In this way, the AI application providers  are more likely to find potential partners and potential commercial market.

The AI Edge Blueprint Family

LF Edge member Baidu has deployed School/Education Video Security Monitoring blueprint. With this blueprint, teachers and school authorities could conduct a full evaluation of the overall class and the concentration of individual students, helping to fully understand the real time teaching situation. According to the concentration data of each course, teachers and school authorities can conduct knowledge test and strengthen. And the School/Education Video Security Monitoring blueprint has been deployed in Beijing, Shanghai, Hangzhou(Zhejiang Province), and many other cities in China.

The AI Edge Blueprint mainly focuses on establishing an open source MEC platform combined with AI capacities at the Edge, which could be used for safety, security, and surveillance sectors. Currently it has been highly supported by partners like Arm and Intel. And both Arm and Intel infrastructures, such as Servers and GPU cards,  have been implemented in respective scenarios.

A picture of the architecture

The AI Edge: RoboTaxi blueprint proposal has been deployed in Changsha, Hunan province, China. Commercial code is being run. The community version of code will be available in Q1 of 2020.

For more information about the Akraino blueprints or end user case stories, please visit the wiki:

NRF 2020 Intel Demo: Real Time Sensor Fusion for Intelligent Loss Prevention

By Blog, EdgeX Foundry

Written by Kristen Call and Camilo Dennis, Intel Open Retail Initiative, LF Edge members and EdgeX Foundry contributors  

ORI: Technology Collaboration to drive innovation in Retail

Intel announced the Open Retail Initiative (ORI) last year at the National Retail Federation tradeshow.  ORI is a collaborative effort led by LF Edge member Intel and top technology companies who believe that open, accessible solutions will accelerate iteration, flexibility, and innovation at scale.   To empower digital transformation in retail, ORI promotes EdgeX Foundry as a common, open framework to allow retailers to access data across applications, removing silos and unlocking insights that improve services and experiences.  To learn more about ORI visit

For the one-year anniversary of ORI, six initiative members Edgify, Flooid, Shekel and LF Edge members HP, IOTech and Intel inspired by the initiative, worked together on a demo for the Intel booth that showcased the value of Real Time Sensor Fusion for a loss prevention use case at self-checkout. The retail environment has become incredibly complex. The latest technologies enable data-driven experiences and unlock business value like never before, yet there is still a lack of interoperability making it difficult for retailers to deploy integrated solutions with speed and ease.  The demo illustrates how integration roadblocks can be a thing of the past.

The demo pulls together real time data through the EdgeX middleware from different common systems including POS real-time transaction log, CV-based object detection, scale solution, and RFID, and data fusion—all in a single pane of glass.

NRF 2020:  Intelligent Loss Prevention – A collaboration of six partners, inspired by the spirit of Intel’s Open Retail Initiative (ORI), the demo showcased Real Time Sensor Fusion (RTSF) using EdgeX open source middleware to combine POS, RFID, Scale and Computer Vision data —all in a single pane of glass.

Liberate your data using EdgeX Foundry

Much of the data created in physical retail today, i.e. at brick and mortar, is not used or a portion of it is aggregated to be used later.  Data is usually trapped in silos and make it difficult for retailers and technology integrators to merge and use data, especially in real time.  Innovation is hampered because of:

  • Environmental complexity due to lack of interoperability
  • Deployment of data-driven experiences in brick and mortar is limited or not possible with traditional architecture
  • Lack of unified standards impeding digital transformation efforts

Intelligent Loss prevention is just the beginning, Intel and its partners used this demo to demonstrate what’s possible when a community works together and uses open standards to solve today’s real retail problems:  LF Edge’s EdgeX Foundry architecture allows access to data across applications in real time allowing retailers and technology vendors to unlock insights that improve services and experiences.  All this is possible by augmenting common existing assets, rather than rip and replace.

Using real time sensor fusion to solve a retail problem-Proof of Concept

Retailers increasing self-checkout for customer convenience continue to face challenges to detect and prevent theft.  No single sensor, i.e. RFID or scale, is theft proof at self- checkout.   That said, combining different sensors, each with unique detection attributes can improve object detection and reconciliation accuracy.  The tradeoff though, in traditional architecture, is a complex integration effort among sensors and the Point of Sale solution. Using a modern architecture, a community approach and open standards integration complexity becomes a thing of the past.

The POC combined data from RFID, Scale, and CV POS  RTTL to determine if an item had been scanned or not.  RFID was Intel based open solutions RSP.   The discrepancy was displayed differently showcasing how the data could be reutilized based on the end users preferences without a large effort.  For detail information on the reference design used for sensor fusion for loss detection at self-checkout, including use of machine learning to connect point-of-sale systems, weight scale sensors, cameras, and RFIDs to accurately detect checkout items visit

Reduce development and integration time to focus on value add

Back to the caveat of having to integrate with a point of sale solution for the loss prevention use case and the challenges mentioned earlier from to lack of interoperability and data silos and how to tackle them.  After the POC described above, Intel, fellow ORI members and the EdgeX community collaborated to create an NRF demo using enterprise ready applications.

According to flooid (formerly PCMS) a traditional integration with a POS solution can take 6 months vs. the weeks the demo team had to work on this demo which was only possible by:

  • Use of data and protocol standards and EdgeX middleware
  • The EdgeX based architecture allowed partners to focus on their own application and contribution to the use case and not on integration
  • Reusable components from EdgeX community.  i.e. the weight scale device service
  • Minimal impact to the participating applications, but its noteworthy to say the complexity of managing each application did not change

The entire demo took 3 months.  The speed of integration took 2 hours to 2 weeks for each vendor. Flooid was able to integrate with EdgeX in a couple of hours.  It took a couple of weeks for all the other applications to integrate to EdgeX and a 5-day onsite meetup to bring all together.   The remaining 2 months were dedicated to hardening the solution and for each vendor to work on nuances for the physical sensor and to tune their specific applicational requirements.  Finally, each application provider focused on their area of expertise, i.e. POS did not have to be a CV or RFID expert and vice versa.  As a result a System Integrator and or the POS provider can focus on new use cases to build business value while reducing the integration effort and risk.

Architecture provided by IOTech

Call to Action

Commit to the initiative and join ORI, let us know if you have a use case that you’d like to work together on.  Collaborate on the EdgeX Vertical Solutions Working GroupContribute to the EdgeX Foundry project or influence standards by becoming a LF Edge member and share implementation stories such as these.

For more about EdgeX Foundry’s Journey in retail, check out this video:


Equinix Joins LF Edge as Premier Member to Further Open Source Momentum Across Unified Edge

By Announcement
  • LF Edge celebrates its first anniversary by welcoming data center and colocation powerhouse, Equinix, to collaborate, impact future of networking compute and storage resources
  • Equinix CTO Justin Dustzadeh becomes newest member of LF Edge Governing Board

SAN FRANCISCO —February 11, 2020 LF Edge, an umbrella organization within the Linux Foundation that aims to establish an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system, today announced Equinix, a leading global interconnection and data center company, has joined LF Edge as the newest Premier member. Equinix joins LF Edge as the project celebrates its first year of collaborative integration across the open source edge.

“What better way to celebrate one year as a project than by welcoming Equinix as the newest Premier member of LF Edge,” said Arpit Joshipura, general manager, Networking, Automation, Edge & IoT, the Linux Foundation. “Their expertise in data center and interconnection services, will be especially valuable as operators need to move resources even closer to the edge with the roll out of 5G. We are excited to collaborate with Equinix as we build a stronger platform for innovation at the edge.”

Celebrating its first year as an umbrella project,  LF Edge is currently comprised of seven projects – including Akraino Edge Stack, Baetyl, FledgeEdgeX Foundry, Home Edge, Open Glossary of Edge Computing, and Project EVE –  that support emerging edge applications across areas such as non-traditional video and connected things that require lower latency, and  faster processing and mobility. By forming a software stack that brings the best of cloud, enterprise and telecom, LF Edge is helping to unify a fragmented edge market around a common, open vision for the future of the industry.

“Equinix is pleased to join LF Edge to collaborate with the community on developing open, cloud-neutral frameworks for edge computing including its ever-increasing use cases and diverse set of requirements across the technology stack,” said Justin Dustzadeh, chief technology officer, Equinix.  “We look forward to sharing our experience and learnings with the community given our unique position as the global datacenter and interconnection platform for ecosystems of networks, clouds and enterprises. We believe the role we play in delivering neutral, secure, richly-connected and cloud-adjacent digital infrastructure at the edge, leveraging virtualization, software-defined and cloud-native technologies, will provide valuable insights to the LF edge organization.”

With a global footprint of more than 200 International Business Exchange™ (IBX®) data centers spanning more than 50 markets on five continents, Platform Equinix® contains the highest share of the world’s public cloud on-ramps and the most physically and virtually interconnected ecosystems in the world.  Equinix currently serves nearly 10,000 customers globally, including the world’s largest cloud providers, Fortune 500 enterprises and Global 2000 companies. Equinix intends to work with the LF Edge community to advance the development of open, multinetwork, multicloud and distributed edge capabilities for a variety of use cases with a focus on interconnection ecosystems.

Equinix joins a growing roster of 70+ current members, which includes existing Premier members Altran, Arm, AT&T, Baidu, Charter Communications, Dell EMC, Dianomic Inc., Ericsson, Fujitsu, HP Inc., HPE, Huawei, IBM, Intel, inwinStack, Juniper Networks, MobiledgeX, Netsia, Nokia Solutions, NTT, OSIsoft, Qualcomm Technologies, Radisys, Red Hat, Samsung Electronics, Seagate Technology, Tencent, WindRiver, Wipro, and  ZEDEDA. A full list of LF Edge members can be found here:

More details on LF Edge, including how to join as a member, and details on specific projects, are available here:

Upcoming Events

LF Edge is co-hosting the  Open Networking and Edge Summit (ONES) North America, April 20-21 in Los Angeles, and Europe, September 29-30 in Antwerp, Belgium. The LF Edge communities will be conducting sessions and sharing demonstrations on the latest open source edge developments. Register before March 10 for Early Bird pricing:

About The Linux Foundation

Founded in 2000, the Linux Foundation is supported by more than 1,000 members and is the world’s leading home for collaboration on open source software, open standards, open data, and open hardware. Linux Foundation’s projects are critical to the world’s infrastructure including Linux, Kubernetes, Node.js, and more.  The Linux Foundation’s methodology focuses on leveraging best practices and addressing the needs of contributors, users and solution providers to create sustainable models for open collaboration. For more information, please visit us at

# # #

The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: Linux is a registered trademark of Linus Torvalds.

State of the Edge 2020: Democratizing Edge Computing Research

By Blog, Open Glossary of Edge Computing, State of the Edge

Written by Matt Trifiro, Open Glossary of Edge Computing TSC Chair, Co-Chair at State of the Edge and CMO at Vapor IO

State of the Edge 2020, a vendor-neutral report supported by The Linux Foundation’s LF Edge contains unique and in-depth research on edge computing, covering the major trends, drivers and impacts of the technology. The report provides authoritative market forecasting and trend analysis from independent contributors, bringing authoritative research on edge computing to everyone.

Edge Computing and LF Edge

Many believe edge computing will be one of the most transformative technologies of the next decade, and that by positioning dense compute, storage and network resources at the edge of the network new classes of applications and services will be enabled which support use cases from life safety to entertainment.

The Linux Foundation’s LF Edge has greatly contributed to the growth of edge computing in the industry, both in terms of technical projects and a deep shared understanding of the concepts and terminology underpinning this new area of technology.


One of the key projects within LF Edge is the Open Glossary of Edge Computing. This project seeks to harmonize the terminology used across the industry when discussing edge computing and has been adopted by a number of projects and contributors in the community. These community members recognize that without a common and accurate definition of key terms and concepts, it is much harder to collaborate on challenges.

State of the Edge

The Open Glossary of Edge Computing was originally born as part of the inaugural State of the Edge report in 2018, where an initial version was published and included as part of the report. Shortly after this, the Open Glossary of Edge Computing was adopted as an LF Edge project.

State of the Edge is itself an open and collaborative community of organizations and individuals who are passionate about the future of edge computing. The project looks to advance edge computing within the industry through consensus building, ecosystem development and effective communication. To that end, State of the Edge reports are written and published using contributions from a diverse community of writers and analysts. By including many voices, State of the Edge publications avoid the often incomplete, skewed and overly vendor-driven material and research typically available.

Multiple reports have been published to date, and more are planned for release during 2020, including coverage of topics highly relevant to edge computing, such as 5G networks. In addition, the State of the Edge 2020 report contains the latest version of the Open Glossary of Edge Computing, which reached version 2.0 during 2019.


Democratizing Edge Computing Research

The first State of the Edge report in 2018 focused on establishing a baseline of knowledge from across the edge computing industry. This made it possible for readers to accurately assess what edge computing meant for them, their customers and their unique use cases. This first report covered what were many new and often misunderstood concepts, tying them together in a way that enabled more people than ever before to appreciate and understand the edge.

When it came to the State of the Edge 2020 report, following extensive feedback and surveys, the collaborative team decided that market forecasting on edge computing was hard to come by, and in high demand. Though forecast models on edge computing exist, they are often proprietary and are not built transparently. Moreover, they are typically locked behind expensive paywalls that limit the number of people that can benefit from them.

By drawing on the expertise of professional researchers and well-regarded contributors, State of the Edge has released its first market forecast, along with a comprehensive narrative that discusses the new trends in edge computing.

The State of the Edge is run like an open source project and publishes all of its reports under a Creative Commons license, making it freely available to anyone who is interested. This approach allows the community to benefit from shared knowledge and valuable research on edge computing, without limiting it to those with money to spend.

Available to Read Now 

The State of the Edge 2020 report is available to read now for free. We encourage anyone who is interested in edge computing to give it a read and to send any feedback to State of the Edge.