Computer Vision Platform Transforms Retail Operations

Perhaps the biggest misconception about computer vision technology is that it’s only for tech-focused businesses. But the rise of innovative computer vision platforms is rapidly changing that view. Case in point is the bakery. It’s hard to imagine a more traditional industry, but at one multinational bakery chain, computer vision technology is transforming the way people get their daily bread.

Global bakery brand Tous Les Jours adheres to a philosophy of artisanal baking in “the classic European style.” But despite their commitment to old-fashioned baking, the company is a technological innovator when it comes to marketing and operations.

“Tous Les Jours is a great example of how traditional industries are taking advantage of modern computer vision platforms to solve their business problems, says Xiangxiang Ying, GM of Digital Technology at Shanghai CUE Group, a smart digital marketing and edge AI technology company. “As the AI-enabled product ecosystem develops, the old barriers to entry of cost and technological complexity are coming down very quickly.”

#ComputerVision #technology is just one tool among many. These are business solutions that address universal business challenges—they just do it by harnessing the capabilities of #AI.” – Xiangxiang Ying, CUE Group via @insightdottech

Computer Vision Platforms Solve Business Problems

One reason people associate AI exclusively with high-tech industries is that they confuse the technology with the way it’s being used. “It’s a common mistake to think of AI-enabled products as ‘AI solutions,’” says Ying. “Computer vision technology is just one tool among many. These are business solutions that address universal business challenges—they just do it by harnessing the capabilities of AI.”

Tous Les Jours’ challenges will no doubt sound familiar to large food and beverage companies and retailers. The brand has established a sizeable footprint—more than 1,600 locations worldwide—but that success had started to create its own problems.

Due to the diversity of their store locations, management was finding it hard to differentiate operations from site to site. Targeting sales and marketing efforts to store-specific demographics was difficult. And predicting in-store traffic and peak hours was next to impossible—leading to frequent out-of-stock items and staffing issues.

In addition, maintaining consistent standards across locations was labor-intensive and inefficient. The cost of manual inspections was high, and staff compliance with dress, behavior, and hygiene standards was uneven.

To solve these problems, Tous Les Jours China and CUE implemented a comprehensive smart store solution. By combining in-store camera systems, computer vision at the edge, and cloud analytics, the system can:

  • Monitor on-shelf rates in real time and alert management if a product falls below a set stocking threshold.
  • Capture and model customer flow rates in different stores to predict peak hours and ensure proper staffing.
  • Identify hygiene and other issues, such as unclean tables or an employee failing to follow proper sanitary procedures, so that store managers can take corrective action.
  • Observe and analyze in-store customer behavior and buying habits to optimize product placement and support targeted sales and marketing efforts.

Tous Les Jours China saw dramatic improvements after deployment. There was a rise in overall sales, conversion rates, and consumer experience scores. Labor costs dropped because extensive manual inspections were no longer needed. And in-store operations improved as well: Poorly staffed stores and untidy work areas are a thing of the past and key product on-shelf rates exceed 90%.

The Value of Mature Computer Vision Solutions

The results achieved by Tous Les Jours China and CUE are impressive—but perhaps equally impressive is that the system was implemented using existing in-store camera technology. In combination with the easy-to-deploy computer vision platform provided by CUE, this meant that the company was able to reap the benefits of computer vision technology without heavy capital infrastructure investment or extensive IT development work.

For bakeries and other types of traditional businesses, the rise of mature computer vision solutions is a game changer. These companies don’t have huge IT departments or large numbers of software developers at their disposal. But with modern vision platforms and technology partners like CUE, they don’t need them.

Ying gives credit to CUE’s own technology partnership with Intel for helping to make this type of ready-to-deploy solution a reality: “Intel has done a lot to push AI adoption forward. In our solution, we leveraged Intel® Video AI Box, the Intel® Media SDK, and the Intel® OpenVINO toolkit. These robust, well-tested technologies put the power of AI within reach for businesses that don’t have extensive technical resources—and help shorten time to market for solution providers and systems integrators (SIs) that serve those businesses.”

Computer Vision and the Future of Brands

As retail SIs deliver more end-to-end, AI-enabled solutions to market, other traditional retail businesses will emulate the success of companies like Tous Les Jours: boosting efficiency, reducing costs, improving targeted marketing, and enhancing the customer experience.

But although AI-powered solutions offer tantalizing operational benefits, their long-term potential is even greater. Tous Les Jours, for example, already plans to leverage smart solutions for strategic initiatives like new-store location selection, store layout planning, and new-product research and development.

As Ying says, “Most companies begin their smart retail journey by focusing on what the technology can do for them on a day-to-day level. But once these companies see the full potential of AI, smart retail will actually become the driving force that propels the brand into the future.”

 

 

Edited by Georganne Benesch, Associate Editorial Director for insight.tech

Setting Up IoT DevOps for Success with Advanced Simulation

DevOps has become a highly sought-after methodology in IoT projects because of its promise to shorten product development and enable iterative product updates. But not every project is necessarily the right fit for DevOps—especially when you’re dealing with mission-critical systems.

Much of the problem comes down to testing. The DevOps approach aims to accelerate feedback loops among development, quality assurance (QA), and production teams. This is achieved in part by replacing the traditional development and QA process with automated QA as changes are deployed into the production environment.

But any test failures that come up still require timely detection and mitigation such as backing out of the latest changes or releases. While this can be a manageable trade-off for non-critical systems, it is often an unacceptable risk for mission-critical ones.

Using Simulation for DevOps QA

One alternative is to run advanced simulations of mission-critical systems that allow QA engineers to apply changes and run regression tests in the lab before ever deploying production units.

To a large extent, this is already done today. “For non-critical systems such as software-as-a-service (SaaS) offerings, free trial versions can be used as a lab of sorts, with the end users essentially performing QA,” notes Uwe Zimmermann, CTO at Gambit Communications, a network and IoT simulation tool provider. But mission-critical systems require far more robust testing.

The challenge is to simulate the production system to a sufficient degree to detect problems early. IoT systems are often built from many subsystems—often from third parties—creating dependencies that are hard to predict. Therefore, any change in one component may have a ripple effect on the whole system, making it essential to perform frequent automated regression testing of the entire system.

Another challenge is the dynamic nature of IoT systems. As more nodes are added to an IoT network, some parts of the network may develop bottlenecks faster than others. This can lead to non-linear linear performance degradation that requires careful capacity planning and monitoring.

Not only does a simulator need to address these issues, it needs to do so quickly. The shorter feedback loops that characterize DevOps leave less time for testing, so the question becomes: How fast can the IoT simulator be reconfigured to run through regression tests in the allotted time?

Openness and flexibility combined with the MIMIC Simulator’s speed and determinism can make #DevOps QA and regression testing a reality for mission-critical #engineering teams. @MIMICSim via @insightdottech

In addition, DevOps brings together previously siloed teams, meaning the “walls” between development and QA teams are broken down, allowing them to collaborate on test plans. While this can speed development, it creates new pressures. “Removing these barriers means you have more fingers in the pie, and that can create problems,” Zimmermann explains. To keep work flowing, the simulator must fit into the DevOps pipeline and provide results that can be used by all stakeholders.

Building a Better Simulator for Mission-Critical DevOps

To meet these needs, Zimmermann says a simulator must excel in four areas:

  • Completeness: A simulator must cover all aspects of the production environment that need testing. This includes being able to mimic complex scenarios at scale, such as high traffic, network failures, or security breaches. A simulator should also be able to reproduce pathological crisis scenarios that are rare but could have severe consequences.
  • Speed: Real-world scenarios might take days, weeks, or months to unfold. Testers need to reproduce these scenarios in a matter of minutes or hours—which means the simulator must have high performance and scalability. The simulator must also be able to cope with potential growth in device counts and unexpected spikes in demand.
  • Flexibility: A good simulator must be able to adapt to any automated workflow pipeline. The tool needs to have flexible APIs and support numerous programming languages. What’s more, the simulator should have the flexibility to adapt to the rapidly changing technology that is endemic to IoT applications.
  • Determinism: The simulation needs to reproduce problems, so that multiple teams can investigate and solve them together. The collaboration that is fundamental to DevOps gives people with different skill sets and system knowledge access to the code. Each change needs to be reviewed, verified, and tested.

An IoT Simulator Designed to Tackle the Challenge

As a result, Gambit Communications developed the MIMIC Simulator specifically to develop and test large-scale networked applications. Long used for network applications by large organizations like Cisco, IBM, HP, and Intel, the tool is seeing increased adoption for IoT applications as well.

At its core, MIMIC Simulator aims to capture realistic interactions with the system under test. Typically, creating a simulation (the “model”) in MIMIC Simulator involves recording the interaction of a real device (or environment) with the system under test. From here, MIMIC Simulator tools extrapolate a basic simulation from that recording.

That basic simulation can then be customized to achieve desired effects, such as exhaustive test cases, boundary conditions, scaling, error handling, etc. Each scenario simulates a specific condition, and MIMIC Simulator can run through any number of scenarios, for example, in regression test suites.

“Simulations are successful if the system cannot tell the difference between the simulation and the real environment,” says Zimmermann.

The MIMIC Simulator is notable for scaling nearly linearly with CPU power. The tool can simulate up to 100,000 devices from a single workstation and upwards of 1 million devices in a multi-host setup. It is designed to integrate with equipment in the lab, allowing control of physical and simulated entities in real time.

Intel® processors are key to this flexibility. According to Zimmermann, large simulations require Intel® Xeon® processors with at least 32 cores and 256 GB of RAM. Many customers run the MIMIC Simulator on multiple hosts—either virtualized or bare metal—to create even larger and more dynamic simulations.

In any simulation, the crucial aspect is the interface to the system under test, according to Zimmermann. To ensure support for IoT systems, Gambit Communications has added a bevy of common network protocols like MQTT, CoAP, and HTTP/S. From a programming perspective, MIMIC Simulator can be controlled in Java, C++, Go, Python, Perl, TCL, JavaScript, PHP, or OpenAPI. The tool supports orchestration via Docker to fit into workflow automation pipelines.

The deployment model is equally flexible. Zimmermann reports that roughly 60% of users run simulations on-premises, with 10% running in air-gapped labs. The rest run at least part of the simulation on the cloud to minimize cost.

Mission-Critical Simulation for DevOps Workflows

This openness and flexibility combined with the MIMIC Simulator’s speed and determinism can make DevOps QA and regression testing a reality for mission-critical engineering teams. And, in addition to enabling iterative updates and reducing development time, technical organizations are leveraging the platform for everything from technical training and sales demonstrations to pre-hardware modeling of IoT devices.

Now, with the ability to conduct large-scale advanced simulations, mission-critical systems and the engineers who build them can finally take advantage of modern workflows and drive the full benefit of iterative IoT update paradigms in the same way consumer devices have for years.

Let the mission-digital transformation begin.

 

 

This article was edited by Christina Cardoza, Associate Editorial Director for insight.tech.

Integrated Solutions for More Efficient Airport Operations

An airplane flight might seem routine, but behind every smooth takeoff and landing is a carefully choreographed dance between passengers and staff.

With the current high volume of passengers, air travel is booming, which can compound challenges. “Passengers and planes are both converging at the airport at the same time, and turning that plane around on time is critical,” says Deepak Kashyap, Solution Technologist for the airports vertical at Honeywell International Inc. “It’s like orchestrating a wedding—everything has to go well; both parties have to be happy.”

A slight hitch in any aspect of the operation, and delays can whiplash into a series of cascading headaches for travelers and airport operators. “One unplanned scenario, or a single four-hour flight delay, can make the entire operation go haywire,” Kashyap points out.

Integrated Solutions for Situational Awareness

Technology helps prevent and manage these irregularities and the many moving parts of everyday airport operations.

Digital solutions need to factor in countless challenges that can surface daily. It’s vital that airport managers have situational awareness and “a tool that can help enable collaborative decision-making ability for the many

stakeholders,” Kashyap says. The passenger and staff experiences are also important, with a greater emphasis on the terminal’s indoor air quality as well as a continued prioritization of safety and security. Sustainability and carbon reduction goals are also high on the priority list of most airports.

Despite the list of requirements, the right technology solution can help maximize operational efficiency while also supporting revenue growth.

Through its Enterprise Buildings Integrator (EBI), Honeywell executes a comprehensive solutions approach for airport operations. The EBI integrates airport command-and-control features, safety and security systems, including management of video data from closed-circuit television cameras (CCTV) and building management systems (BMS).

While all data from relevant areas—baggage handling, parking, transfers, and more—connects through a central platform, the system’s intelligent design filters insights and funnels the right ones based on the stakeholder’s role. A baggage handling manager, for example, might have their operations affected by problems in other zones, but they see only insights specific to the baggage area. Such a holistic process combined with contextual user-focused delivery of insights can help airports run a well-oiled operation.

#Digitalization and #data analysis help operators prioritize greater use of their existing assets before making capital expenditures. @honeywell via @insightdottech

A Modular Fix for Airport Operations

The solutions are modular, allowing airports to pick ones that address their immediate challenges and fuse additional components as needed. “We first try to see the customer’s operational philosophy. Every airport has

different ways in which their standard processes are defined,” Kashyap says. “We then figure out their pain points and work out solutions to address them.” At times, solutions might mean addressing existing inefficiencies.

When Honeywell worked with a large airport in the Middle East, for example, the airport management team was looking to build two additional gates to accommodate traffic. Analysis using collated data from disparate systems showed that existing gates were functioning at only 70% capacity. Digitalization and data analysis helped operators prioritize greater use of their existing assets before making capital expenditures.

Beyond the immediate physical space, airport operations also coordinate with city providers and traffic information feeds to understand how those entities might impact flights and related operations. “If there’s a large traffic jam outside the airport, you might not be able to load a 200-passenger plane on time because of those external conditions,” Kashyap points out. “We help enable that kind of situational awareness for our clients.”

Delivering Data-Driven Situational Awareness

A large airport in India was looking for similar awareness and a BMS that could deliver cohesive insights.

The airport wanted productivity improvements and help enabling smooth take-offs and landings even in dense fog. Honeywell implemented Airfield Ground Lighting (AGL) components to be CAT IIIB compliant, which are high-intensity lights that guide planes through low-visibility conditions to aid the airport in operating flights on time.

Using EBI from Honeywell, the airport charged airlines for actual consumption of services such as pre-cooled air and ground power based on docking at the gate, which was automated by integrating into the Honeywell solution. This delivered accurate meter readings that were billed automatically through vendor billing software.

The servers and hardware for the airport run on Intel. Honeywell also works closely with subcontractors if needed, especially if clients are looking for specific vendors in specific categories (like accounting software).

“Today there might be multiple solutions for multiple parts of the airport, but the top things we focus on are terminal efficiencies, passenger experience, and financial impact,” Kashyap says. “Whenever we design a solution to a problem, we make sure that at least one of these is positively impacted.”

Flying into the Digital Future

The future of air travel will move beyond the airport to deliver door-to-door frictionless experience. “We’re already seeing airlines picking up luggage from your doorstep and collaborating with taxi providers to deliver a better experience,” Kashyap says.

No matter what the future looks like—for example, vertiports, where electric air vehicles carry few passengers for shorter distances, are gaining traction—the need for data-driven efficiencies in every aspect of airport operations is not going away. With advanced technologies, the aviation industry can optimize revenue while delivering superior travel experiences. No matter the complexities, the forecast is for clear skies ahead.

 

Edited by Georganne Benesch, Associate Editorial Director for insight.tech.

Technology Distributors: Embedded to Full-Stack Solutions

With the accelerating pace of technology, alongside ongoing supply chain issues, companies face roadblocks in achieving their transformation goals. These trends apply to OEMs that rely on silicon vendors to deliver innovative products, and in turn to their customers—the builders that design these innovations into their hardware. And the value chain continues, resulting in full-stack solutions deployed by end users. This never-ending technology lifecycle requires continual adaptation and adoption for every business to remain competitive.

Technology distributors have always been at the heart of this paradigm, moving millions of components from global suppliers to developers across every industry.

But with advanced hardware components becoming more and more commoditized, today’s distributors must move up the solution hierarchy—investing more broadly to help their customers design products the marketplace wants and needs. The complexity of building transformative solutions creates both new challenges and new opportunities. And so, many distributors have moved into providing design, build, supply, and services to their customers.

They are the intermediaries between suppliers and customers—facilitating distribution of embedded-technology components, such as microprocessors, motherboards, and sensors. Today, the work distributors do go beyond broad line component distribution—working very closely with system manufacturers and solution providers, especially in the IoT marketplace.

“The distributor of today looks a lot different from the distributor of the past,” says Dave Guzzi, General Manager of Global Channel Sales at Intel. “Top embedded global distributors have more resources available than in the past and are investing more broadly.”

From Technology Distributors to Solution Aggregators

Distributors are becoming true embedded-market specialists, consulting with OEMs, ODMs, and solution providers with the objective of creating future demand. For example, distributors are investing in early design cycles, helping systems integrators (SIs) design products and solutions end customers need. They offer a broader range of services to customers and vendors, including stocking products around the world, providing credit lines, pricing, and availability.

Embedded distributors provide a growing number of substantial benefits to both their customers and vendors by:

Providing customers with insight to roadmaps and product lifecycles, which helps maintain a healthy supply chain on all sides—a win-win in managing inventory as it flows from vendor to builder.

  • Enabling developers to plan next-gen design cycles and begin new-product development based on the latest silicon releases.
  • Supporting the design phase of a product through basic solution creation skills, staging materials based on needs, and providing integration services with other platforms.
  • Creating out-of-the-box kits for makers, with multiple parts and components, including a motherboard, hard drive, CPU, and other elements.

With design and build services, training, logistics, and even full-stack solutions, distributors apply their extensive market and technical expertise—helping customers streamline product development and get to market faster.

The Embedded Distributor of Tomorrow

Solution aggregators around the world, such as Avnet, Arrow Electronics, WPG, and Digital China, are examples of how embedded and IoT Solution distributors are evolving—engaging with an ecosystem of partners to deliver best-in-class IoT solutions.

Take, for instance, Avnet. Not only is it an electronic components distributor but it also engages with systems integrators to provide innovative technology solutions. Avnet invests time and expertise to identify best-in-class partners to deliver transformative solutions that businesses need. Together with Intel, the company orchestrates end-to-end solutions comprising hardware, software, and cloud elements that SIs can take to their customers with confidence.

Embedded distributors and solution aggregators are also an essential part of Intel’s broad partner ecosystem and play a critical role in how the company serves its customers and drives business growth. And their role is expected only to continue to evolve. They play a bigger role in delivering products and services to customers—from OEMs to solution developers to SIs—particularly in the rapidly growing IoT technology space.

“Embedded distributors are becoming scale experts,” says Guzzi. “We value and rely on our distribution network to get our products to market and reach more partners.”

An evolving partnership creates significant opportunities for the Intel authorized distribution channel. Intel can further its already strong business relationships with key accounts. And not only does it maintain a strong embedded-product business, but Intel can also deliver more profitable solutions and services, achieving market growth and contributing to the bottom line.

“We need extreme partnership—from component distributors to solution aggregators—to reach the hundreds of thousands of businesses that are creating technologies that will improve the lives of every person on the planet,” says Guzzi.

The Trend Towards Open RAN and vRAN: With Wind River

As telecoms strive to lower costs, improve scalability, and increase innovation, the move toward Open Radio Access Networks (RAN) and virtualized RANs (vRAN) is becoming more common. But this path forward is not without its challenges.

In this episode, we discuss the various interoperability, performance, and reliability considerations that telecoms must take into account as they move toward these new technologies. In addition, we’ll explore how these concepts relate to one another, the latest advancements in the mobile and connectivity space, and how to stay one step ahead of the curve.

Listen Here

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Our Guests: Wind River and Embedded Computing Design

Our guests this episode are Randy Cox, Vice President of Product Management Cloud and Industry Verticals at mission-critical intelligent systems software provider Wind River; and Brandon Lewis, Editor-in-Chief of Embedded Computing Design.

Randy has spent most of his career in the telecom business. Prior to joining Wind River, Randy was Head of Product Management at Nokia for more than 10 years and was the Director of Global Business Development and Product and Program Management at Motorola.

Brandon is a contributing writer for insight.tech and brings more than a decade of journalism and media experience to his role at Embedded Computing Design.

Podcast Topics

Randy and Brandon answer our questions about:

  • (2:03) Trends in the mobile and connectivity space
  • (3:57) The move to Open RAN and vRAN
  • (5:58) Wind River’s role in telecom transformations
  • (10:53) Why telecoms should look at the latest Intel® Xeon® processors
  • (14:03) Wind River Studio’s latest single-core support
  • (17:44) Important partnerships for mobile and connectivity
  • (23:20) What else there is to know about O-RAN, Open Ran, and vRAN

Related Content

To learn more about Open RAN and vRAN, read MWC 2023: Where IoT Networking Meets the Intelligent Edge. For the latest innovations from Wind River, follow them on Twitter and LinkedIn; and follow Brandon at @TechieLew.

Transcript

Christina Cardoza: Hello and welcome to the IoT Chat, where we explore the latest developments in the Internet of Things. I’m your host, Christina Cardoza, Editorial Director of insight.tech, and today we’re going to be talking about trends in the mobile and connectivity space with two special guests. We have Randy Cox from Wind River and Brandon Lewis from Embedded Computing Design. You’ve may already have seen or heard of Brandon’s name on the insight.tech website. He’s written a lot of articles for us. But Brandon, welcome to the IoT Chat. Why don’t you tell our listeners a little bit more about yourself, what you do at insight.tech and Embedded Computing?

Brandon Lewis: Sure. Hi everybody. Thanks, Christina. I’m a journalist who’s been covering the tech space for over 10 years. I love it, always learning something new, and I run the editorial over at Embedded Computing Design and also contribute to some of the cool stuff that Intel’s doing over on the insight.tech website governing a lot of the partners and such.

Christina Cardoza: Great, and Randy, welcome to the show. What can you tell us about yourself and what you do at Wind River?

Randy Cox: Yeah, well, thanks for having me today. Randy Cox, I head up—lead our product management team at Wind River, and so that really is part of the intelligent cloud and for the telco business. So, I’ve been at Wind River for the last couple of years. Previous to that I was at Nokia for 10 years, and prior to that, Motorola. So, pretty much most of my career in the telecom business.

Christina Cardoza: Great. So, lots of expertise in the areas and topics that we’re going to be talking about today. And I wanted to start off the conversation—we all just saw each other and connected at Mobile World Congress, and the conversation there around mobile and connectivity was really around some of these new ideas: Open RAN and vRAN. And so Brandon, since you covered the event for us at insight.tech, I wanted to start there. What can you tell us about the trends that you’re seeing in this space, especially what Open RAN and vRAN mean for mobile and connectivity?

Brandon Lewis: To kind of understand this, you’ve got to understand where we are if you want to know where we’re going, and, no offense to your friends back at Nokia, Randy, but one of the things that’s happened over the course of time in networks is that they’re incredibly complex systems, and so network-equipment manufacturers have been supplying these highly integrated proprietary solutions. There’s a lot of different components that make up a network, and a lot of accelerated specialized hardware, proprietary software stacks. And as we move into 5G, which is about providing more bandwidth and higher capacities and really pervasive connectivity everywhere, we really need to be able to scale that.

So this is where this concept of Open RAN comes in, and RAN is Radio Access Network, and that’s really designed around using commodity hardware, commodity servers and platforms, and open interfaces so that you could put different software on top of it. And then the vRAN part of it, virtualized RAN, runs a lot of those specialized functions that used to be in hardware as software function.

So if you know software-defined networking, network functions, virtualization—a lot of those functions that used to have a specialized appliance that would only do firewalls, or only do routing of packets, or whatever it was, are now in software. So you’re going to be able to scale your networks much further, get a lot more flexibility out of the stack, a lot more players in the ecosystem, and really it’s about scale. So with that—I mean, Randy, with your background over at Nokia, I know they have been a huge player in the networking space for a quite some time. What are you seeing both from your own experience, and then what are you guys are doing over at Wind River?

Randy Cox: Yeah, Brandon, thanks. As you say, traditional vendors in the telecom space—Nokia, Ericsson—typically have provided custom hardware, custom software, proprietary equipment for the carriers. And so therefore, one, that really provides more of a kind of costly solution and is very specialized, which really requires the carriers to stick with those vendors for longer periods of time. And so with Open RAN, that’s really disaggregating the network and allowing new players to enter the market, which, really, the promise of ORAN is to drive down cost and to drive up innovation and flexibility in terms of picking the best-in-class type of suppliers.

And so, I mean, if you were at MWC you would not miss the focus on vRAN and ORAN. What I’m seeing at this point is that this is mainstream now, in terms of planning by many operators globally. This isn’t just investigation any longer or, kind of, feasibility analysis, but real understanding and now planning for execution. So that means more detailed customer discussions, more detailed partner discussions and plans, and more RFPs being executed at this time.

Christina Cardoza: I think you guys hit a lot of the buzzwords there. Vendors and telecoms are looking for scale flexibility, bringing down cost, improving innovation. And we mentioned Mobile World Congress, which happened back in February. Randy, I know Wind River was showcasing a lot of different products, a lot of different solutions, had a couple of announcements. So I’m wondering what you can tell us more about what Wind River is doing in this space, and tell us some more about your solutions.

Randy Cox: Yeah, I would be happy to. In fact, I’ll give you two examples of those demos that we provided. First being our single-core capability on Sapphire Rapids, or the 4th Generation of Intel® Xeon® platform. This is really prior to December—our cloud-platform solution basically took up two cores on a single server. And with our latest release in December, we have now optimized that down to a single core, which is obviously a 50% reduction in terms of the resource usage on a given server.

And so this is what we demonstrated at Mobile World Congress, was to show that capability, which is now a commercial release as of December of last year. And this is now available to all of our customers, to actually start running on a single-core capability with a number of different servers out there as they move forward with commercialization. So that was a demo we performed. So, really great capabilities for—really for the application or workload that’s being performed on our platform. And so we’re happy to show that, and that got a lot of press and a lot of different visibility, I’ll say it that way. Many, many customers coming to see it, and quite interested in that. A lot of customers—vendors if you will—deployment of ORAN and vRAN are really waiting for Sapphire Rapids. So we’re very happy about being able to do this. That was the first one.

And then the second one, which is also a very hot topic in the industry right now, is around energy efficiency. And so we’ve been working very closely with Intel, as well as a couple of other partners, to really be able to reduce the amount of power consumption being used at a cell site. And while our initial engagement here was a feasibility study and a demo at a plugfest, we are now stepping into the next phases of actually bringing this into commercial capability, where we’re actually able to manipulate and change the C-state and P-state of the CPU itself in order to optimize and reduce the amount of power consumption being used at the cell site.

So this is going to really require close collaboration with our partners—the RAN software workload itself. And so we’re working with those partners now to bring that to more of a commercial capability in the second half of this year.

Brandon Lewis: Real quick, I think it’s important to ask—can you explain the C-state and the P-state really quickly, because those are important elements that some of the listeners might not be familiar with.

Randy Cox: Sure. Basically you have the ability to—I think there are six different levels of C-states in a processor, and so you’re able to actually—depending on how you want to control that—one is basically being at full power, and the other one level is basically being at the lowest power possible, power consumption possible. So it’s basically determined by whatever profile you want to use, or whatever type of decision-making you want to use, based on the use case of the cell site.

And so we would then change the C-state and P-states for the application, and therefore reducing the power. And, as an example—I’ll just use a very simple example—say between the hours of 3:00 and 5:00 a.m., or 6:00 a.m., a cell site gets very little usage in a lot of places. And so what we would be able to do is we would work with the RAN software and be able to monitor and determine with the RAN software the amount of usage or number of users on the cell site. And if we wanted and if it was low, we would be able to reduce the number of C-states or P-states, the mode that they’re being used in, and then be able to reduce the power during that period of time, thereby really lowering the TCO for operators during that period of time.

Christina Cardoza: Great. And I want to go back a little bit to the single-core support you guys announced for the 4th Gen Intel Xeon scalable processors, code name “Sapphire Rapids”—just, what you guys are seeing? How that compared to previous generation?

But, before I do, Randy, you mentioned that a lot of your customers were really looking forward to this release, and it’s something that Intel released at the beginning of the year. And, Brandon, you covered this processor for us on insight.tech earlier in the year. So, what can you tell us about the new capabilities and the new features, or what you’re just seeing vendors and even telecoms being able to get out of this release?

Brandon Lewis: Sure. So, every new release of an Intel processor, it comes with performance improvements, right? So, I think the 4th Gens have 60, up to 60 cores, something insane like that. But to Randy’s point earlier about the total cost of ownership, there are a bunch of accelerators that have been integrated with this new generation of processors. So, one of them is QuickAssist Technology, and anybody who’s been following the ecosystem, the Intel ecosystem, for a while should be familiar with that. It’s a cryptographic-workload offload so that your CPU cores don’t get bogged down.

So that’s important, but there are a couple of others that are also important. So, one of them is this dynamic load-balancing feature, which, if you’re familiar with the way that a network operates today—and this is why some of the commentary I was making about software-defined networking previously is important—you have a load balancer, which is a piece of equipment that basically spreads the traffic workload across the different equipment that you have so you can packet process efficiently, and not get a bunch of lag and buffer and latency, which obviously impacts the performance of the network as a whole.

So, the dynamic load-balancing feature on the 4th Generation Xeon processors basically treats the chip the same way that that load balancing would act, at the network level. So you’re spreading the workload of packet processing across the different cores and across the memory of the chip, so that you’re not going to be subjected to any bottleneck spike like what Randy was referring to. Different times, different cell sites are going to see different amounts of traffic. Just imagine the chip as sort of like a microcosm of the network as a whole in the way that that workload’s balanced.

And then the second or third, actually now at this point, is Intel vRAN Boost, which really speaks to what Randy was saying before, in that it optimizes the processor for vRAN workloads so that you basically get twice the performance for the same power consumption or the same half—I always get mixed up on this stuff—half the power consumption for the same performance as before, which in the telco networking data-center game is all about reducing cost, because that power consumption is a massive cost for those operators. So the more you can optimize around how much power you’re using—whether it’s through P-states and C-states or on the chip set itself through features like vRAN Boost—that you’re going to win.

Christina Cardoza: Yeah, absolutely. And I always get confused with all the new features and everything too, Brandon. There’s a lot of goodness packed in there, and a lot to look forward to. So, on that note, Randy, what were your users looking forward to, or what are the use cases or the industries you guys are working with Wind River Studio in this now single-core support for the Sapphire Rapids release?

Randy Cox: Couple things—different benefits here from Wind River’s perspective. Obviously we’re enjoying the fact that no one else in the industry is capable of doing this today. So from our perspective that’s our benefit from being able to achieve this single-core capability. But the real benefit comes to the application or workload being deployed on our cloud platform, by providing another core for that application to utilize. And so that actually turns into a benefit to the carrier.

So as increased traffic—as Brandon was mentioning—on a cell site, as that increases, this additional core that Wind River gives back to the cell site, the RAN application can actually use that core, which really provides increased capacity at the cell site, and that translates into either increased number of users at the cell site or increased throughput and performance for the existing users. So, really that’s the benefit here ultimately to the carrier, that they get increased performance and capacity at the cell site with the fact that Wind River is only utilizing a single core on the CPU.

Brandon Lewis: So, Randy, what’s Wind River’s involvement at this point with Intel Xeon processor technology and deploying them into these Radio Access Network use cases?

Randy Cox: So, up to this point we’ve been running in commercial traffic, a commercial network with Intel’s 3rd Generation Xeon platform, or otherwise known as “Ice Lake.” And that’s been commercial in thousands of sites in North America, as well as in commercial traffic in the UK and Europe, along with actually in Japan as well, with multiple customers. So we’re commercial—and this is public info—so we’re commercial with Verizon, Vodafone, ELISA, KDDI, and SoftBank. So we have commercial engagements with them, and all of those are running on Ice Lake platforms.

So that’s the engagement we have up-to-date to this point, and for the last three years actually. And so, at scale in North America—that’s some great experience that we’ve been able to leverage. And now we’re actually taking that obviously into the Sapphire Rapids platform, or the 4th Generation, and giving us the ability to actually optimize and get us from two cores to a single core. And that’s really what’s given us the ability to be able to do that.

Christina Cardoza: Yeah, absolutely. And I know you mentioned one of the key benefits is that Wind River is sort of more ahead of the curve than others in this market, but one thing I noticed in the event, and just overall in the industry, is that companies are really leveraging partners to get applications like this out there to get things done. It’s really seems to be a theme of “better together” going on.

And at Mobile World Congress—I should mention the IoT Chat and insight.tech as a whole, we’re sponsored by Intel—but at the event I saw Wind River working and demoing with a bunch of other partners like Intel, Vodafone, Samsung. So, what can you tell us about how you guys are working with partners, why you’re working with partners, and really the leverage of expertise that you guys are using from them?

Randy Cox: Sure. I think by definition ORAN is really fostering the environment of partnerships, because we have more players that are entering the market, and the definition of ORAN really is to provide more capabilities by more vendors. So Wind River has a number of really great partners that we’re working with now, and those continue to increase, actually. Of course today we’re working with Intel and Samsung very closely. Those are formal partnerships that we work with on a weekly and daily basis to improve our product, as well as the product that’s actually being deployed commercially at scale in North America as well as in the UK.

So it’s critical as Wind River Cloud Platform finds itself in the center of the stack. So, we have to integrate in the southbound direction with the hardware, as well as in the both—Intel as well as any of the server manufacturers, such as Dell, HPE, or whoever that COTS hardware server may be. But we also have to integrate in the northbound direction with the actual RAN workload, or any other workload that we may be working with. So we find ourselves in the middle of that stack, which requires us to work with those partners on a regular basis very, very closely.

So, I mentioned Intel and Samsung. We also have a very, very strong relationship with Dell, and we announced that back in September of last year, and we have shipped our first commercial available Infra Block product through Dell that came out in November timeframe—you would’ve seen an announcement on that. And that’s literally a single product that is orderable and shippable from Dell’s factory. That’s basically the COTS hardware server along with Wind River software integrated as a single product.

And you may say, well, why are you doing that as opposed to going direct? And I think there’s, number one, we have multiple business models; that gives the carrier a different way to procure those products. But, more importantly, we are really making this easier on the carriers. So, while the network is being disaggregated, that does bring the challenge of integration issues out in the field with that carrier.

So what we’ve done is we established a relationship with Dell where we have a complete stack between the hardware, the accelerator itself, and our software that is fully integrated, fully tested, and works out of the box that we make available to our customers. And so the last thing that needs to be integrated then is the actual RAN workload that would happen with the customer in the field. So we’re really trying to make this as easy as possible in this ORAN environment. And so back to partners—that’s a very strong relationship with Dell in terms of that.

On the RAN workload side, as I mentioned, we have a strong relationship with Samsung today, and we continue to increase those partnerships. We have a partnership with JMA; we’ve integrated with Mavenir; we’ve integrated with a number of other radio providers as well. We also are establishing relationships with Ericsson and Nokia as well. And those are in different stages, each one of those, each one progressing.

So, with Ericsson we have a formal agreement in place, and we have integrated our software in a DU and a CU configuration. And so we’re happy to say that that’s working and doing well there in a very short period of time. We actually brought that up in an Erickson lab in about a three- or four-week period of time, to really integrate their workload on our cloud platform. So when you think about integrating the workload in a three-to-four-week period of time, that’s very short in a very complex environment. So we’re really happy to be able to work with Erickson in that regard.

And then with Nokia, we’re just getting started with Nokia as well, and that’s going forward in a good way. So we’re looking forward to being able to work with all of these three major RAN vendors in an ORAN and vRAN environment. So, that’s just a few of our partners, but the list is quite long actually. But I think those are the key ones that I wanted to highlight today.

Christina Cardoza: Love hearing about all the partners you’re working with, Randy. One thing that I’m curious about is we’ve been talking a lot about Open RAN and the benefits for vendors and telecoms. And then just now when you’re talking about partners you mentioned O-RAN. So I’m curious what the distinction is between these two, or what our listeners need to know when it comes to O-RAN and Open RAN.

Randy Cox: Yeah. There’s lots of different acronyms being used and words being thrown around, and so it’s probably good to distinguish between these. Let me just start with virtualized RAN, because I think that’ll be helpful as well. vRAN really has nothing—I’m going to say it this way—is not about O-RAN in one sense. The existing incumbents, as an example, could do a virtualized network today without it being an open network. So that’s one distinction. You’re just virtualizing that network.

When you move to O-RAN, O-RAN is a, if you will, an architecture; it’s a disaggregated network where you have open interfaces that multiple vendors can participate in and serve those different network elements with that Open RAN specification. And so it just so happens that the O-RAN specification does include a virtualized RAN. So that’s by definition part of the O-RAN spec.

Now, the O-RAN Alliance is really an organization for the ecosystem where all of the vendors and operators that want to participate, they participate in, one: defining the spec, doing plugfests, and aligning in different activities in order to really proliferate an O-RAN-type architecture, and really accelerate an O-RAN-type architecture into the market as soon as possible.

Brandon Lewis: That’s awesome. I know there’s a lot of alphabet soup, but if there’s one thing us engineers are good at, it’s creating acronyms for things that confuse everything.

Randy Cox: That’s right, that’s right.

Brandon Lewis: Did you see anything else out at the show that piqued your interest, or anything crystal ball that you see coming down the pike here, Randy?

Randy Cox: I would say this, Brandon, I was pretty focused on vRAN and ORAN to be honest with you. And maybe because that’s where my interest was that’s what I was hearing a lot of. But I do think it had a very strong focus at MWC. What I would say is I did hear, and start to hear more profoundly I’ll say, some more pointers, if you will, to 6G. And really when you think about that, 5G in this vRAN/ORAN environment is really setting things up for a 6G environment.

And so I’m really pleased that Wind River has made as much progress as we have in this space. So, while we’re getting traction in 5G and getting those commercial deployments, we really want to be able to help the industry and the ecosystem accelerate ORAN so that we are set up for 6G when we get there. But I did hear some glimpses of that in a little more profound way than I had before.

Brandon Lewis: Do I need a new phone?

Christina Cardoza: Yeah.

Randy Cox: No comment.

Christina Cardoza: As always, the technology industry is always just looking for the next big thing. You’ve been hearing a little bit of rumblings about 6G also, but I think there’s still a lot of work to get to before we get there. So I don’t know if you would agree, Randy, but I would tell people to continue to focus on 5G and prepare for 6G, but we’ve got some time to go.

Randy Cox: Absolutely. There’s tons of work to do on 5G, no question about it.

Christina Cardoza: Great. Well this has been a very insightful conversation, Randy and Brandon. Unfortunately we are running out of time, but before we go I just want to throw it back to each of you if you have any key takeaways or final thoughts you want to leave our listeners with today. Brandon, I’ll start with you.

Brandon Lewis: Sure, yeah. I think that it’s really important that everybody goes and checks out some of the cool new features that are available on 4th Gen Intel Xeon scalable processors. And then also there are a lot of enabling tools available to developers in the ecosystem, like the Data Plane Development Kit. If you’re not in tune with that, definitely check it out. And we write about this often on both Embedded Community Design and insight.tech. So you can follow me @TechieLew.

Christina Cardoza: Absolutely. And, Randy, any final thoughts or key takeaways?

Randy Cox: Well, I would say this: anybody who’s been doubting ORAN, or is somewhat skeptical about that, I will say that it’s real. And Wind River as an example—we’re performing well and deployed in commercial service at scale. And so it is real and it’s possible today. And so, looking forward to enabling the rest of the industry to really move forward in this space, and thank you to all of our partners that are helping out in this space as well.

Christina Cardoza: Yeah, absolutely. Looking forward to that as well. And, as Brandon said, continue to follow us on insight.tech as we cover this space, and catch up with Wind River on their website to see what else they’re doing and how some of these partnerships that Randy talked about start to come to fruition. So, with that, I just want to thank you both again for joining us today, and, as always, thanks to our listeners for tuning in. Until next time, this has been the IoT Chat.

The preceding transcript is provided to ensure accessibility and is intended to accurately capture an informal conversation. The transcript may contain improper uses of trademarked terms and as such should not be used for any other purposes. For more information, please see the Intel® trademark information.

This transcript was edited by Erin Noble, copy editor.

Video Management Systems Offer New Business Opportunities

At a time when most people carry a camera in their pocket, being on camera isn’t a big deal anymore. Just about every place you go has them—performing a variety of tasks. In public spaces, cameras capture information to improve safety, traffic flow, parking, and more.

In a bank, cameras may be connected to money-counting systems for accuracy and accountability. And in hospitals, shift supervisors can use cameras in the ER as patients are rolled in to immediately page doctors and nurses. At a mine or quarry where crews extract high-value materials from the earth, cameras may be linked to weighing systems where operational improvements are the goal.

For example, a South African platinum mine that runs 6,000 cameras uses them for efficiency purposes. The platinum mining generates nickel as a byproduct. Crews have to weigh huge bags of nickel on a scale. They were using notepads to record weights and later enter them into a computer. With South Africa-based video management system developer Cathexis, weights are automatically captured from camera footage and recorded, accelerating the process.

At a stone quarry, Cathexis put an end to the crew’s practice of giving customers special deals when weighing slabs or crushed rock. “By integrating the weighbridge information and the video together, we could then print on the invoice the exact image of the aggregate that was being sold and thereby prevent theft and shrinkage,” says Gus Brecher, Co-Founder and Global Business Development Director of Cathexis Technologies.

Whatever the use case, Cathexis is ready to tackle it. In business for nearly three decades, the company seeks to differentiate itself by providing innovation with a purpose in an increasingly crowded market. “Whenever we add a new feature or function, we do so to address a specific industry or customer need,” says Brecher.

“Cameras have become so ubiquitous that people hardly notice them,” says Brecher. However, there is a privacy concern, which is more about what is done with the recorded footage than capturing the images. To protect individual privacy, companies like Cathexis comply with privacy regulations such as GDPR in Europe and South Africa’s Protection of Personal Information Act.

Centralized Video Management Systems

Cathexis also differentiates itself with its ability to centralize the management of thousands of cameras, integrations with third-party brands, and rapid searches for specific footage.

“One European retailer operates 68,000 cameras, with individual stores running as many as 500. While sites with large numbers of cameras are monitored locally, there is a central control room where technicians can manage every store. They can identify all the cameras, and what hardware is running on-site. They get basically a full asset management system. On top of that, they also receive any alerts if there’s any technical failure,” says Brecher.

The Cathexis system can even track unusual behavior. When linked to a retail smart shelf system, it can monitor pricey items. “A high-value item might be a bottle of Johnny Walker Blue Label. And if somebody takes more than two of those at a time, they create an alert. A camera pops up on a monitor, rings the manager in the store, and they can react immediately if an individual takes three bottles but only rings up one,” Brecher says.

Another key feature is the ability to zero in on specific footage in seconds. In the days of tapes, fast-forwarding, or rewinding to a specific point could take hours, even days. Digital systems shorten searches, and AI has made them nearly instant.

Cathexis enables searches in several ways: its Snap Search finds specific incidents in seconds; Motion Search uses metadata to identify motion after the fact in a designated area; and Feature Search uses AI to refine searching. “Each one of those search features is used in different types of environments to find different things,” Brecher says.

Cathexis supports a wide range of cameras—be they basic #monitoring devices, #AI-equipped cameras with #analytics, or thermal devices that detect infrared radiation. @CathexisTech via @insightdottech

It’s usually up to the customer to decide what types of cameras to use. Cathexis supports a wide range of cameras—be they basic monitoring devices, AI-equipped cameras with analytics, or thermal devices that detect infrared radiation (for example, to enable firefighters to navigate through smoke).

Whatever the environment, Brecher says, Cathexis provides a cybersecurity layer to ensure connections between all devices are hacker-resistant. “We provide the software and we provide the interface to the cameras, to the recording servers, to the management servers, the clients, to the video walls, etc. So we’ve got to make sure that the interaction between those devices is secure,” he says.

The Future of Video Management

Cathexis leverages Intel technology for video management and uses the the Intel® OpenVINO toolkit to develop its AI capabilities. “Intel is a very important cog in our wheel,” Brecher says. “So it’s imperative that our relationship with Intel remains strong.”

According to Brecher AI will play an important role going forward, as video management systems become more intelligent. Among the uses he envisions is the capture of demographic data at stores for retailers to hone their marketing. Video Surveillance as a Service (VSaaS) is another area of future growth as customers move to cloud-based solutions for security.

Wherever the video management market goes, Cathexis is ready. After all, the company has already navigated the transition from analog to digital. “Our development teams continue to grow. We continue to develop product to satisfy market solutions, which means today we’re just as competitive as we were 15 years ago, even with the new kids on the market,” Brecher says.

The Power of IoT Partnership: Work Better, Together

Digital transformation and the rise of intelligent features are unstoppable trends, and that’s great. But it also makes things more complex for businesses and organizations trying to do what they do best, but do it bigger, broader, and better all the time. Fortunately, they don’t have to do it alone. There’s a whole ecosystem of partners out there to smooth the way and fill in the gaps.

And systems integrators—or SIs—and aggregators are integral to making those partnerships happen, and to making them flourish. They take the guesswork out, so that companies can focus on what really matters for them and their clients. Four experts discuss the lay of the SI/aggregator landscape: Lisa McGarvey, a VP at the solution aggregator company TD SYNNEX; Matt Tyler, a VP at the technology integration and services company Wachter; Tobias Ender, CEO of collaboration consultant GPA; and Ben Kotvis, Senior Architect in the Enterprise Strategy team at Insight. They’ll talk about the role of the SI today, how technology trends both complicate and invigorate the picture, and what’s next for the SI/aggregator space (Video 1).

Video 1. Learn about the latest IoT trends and innovations and the role of systems integrators and solution aggregators. (Source insight.tech)

How has the role of SIs and aggregators evolved as the IoT space has evolved?

Lisa McGarvey: If you look at the move from traditional distribution and product sales to what TD SYNNEX is seeing today, we’re actually aggregating and orchestrating solutions. Traditional distribution was really limited in its value creation, and we believe this newer model is exponentially more valuable to our partners and our ecosystem.

Digital transformation is allowing solution aggregators like TD SYNNEX to differentiate and to unlock the potential of the ecosystem. We’re continually growing our capabilities to meet the emerging technology and transformation needs of the markets we’re seeing. We know that building and delivering complete solutions is a lengthy and complex process; our job as an aggregator is to simplify that complexity.

What are some of the challenges the IoT space is facing today?

Matt Tyler: As vertical silos of technology have been implemented over the years, our customers are looking to integrate them—to share the data, and to make it more valuable and actionable. The challenge from the OT side at Wachter is that we now need access to data centers and data sets that we never would have had access to before, enabling us to provide the connectivity and sensor traffic, and to tie disparate systems together.

Tobias Enders: At GPA we’re using IoT devices and sensors a lot in the context of smart workspace and smart building—IoT sensors with cloud subscriptions, different portals, and so on. And we see that the market is still very fragmented, which adds a lot of complexity to rollouts. Our customers really want the scale and speed that we design for, and they want it on a global scale. Therefore we need strong partners helping.

Ben Kotvis: Yes. The ability to use the partners that we have all over the world is really important for different pieces of a solution. We can tap into them to provide services and to source hardware quickly. It’s something that we at Insight put a lot of work into—creating those relationships and maintaining those relationships.

What’s the value add of aggregators and integrators when it comes to scaling?

Matt Tyler: Lines of communication are key to selling any type of solution. Some retail customers have a top-down approach; we may go sell to the C-suite in a retail setting, and then they push that digital-transformation directive down to the retail stores themselves. So in that situation sometimes we need help from our partners, such as TD SYNNEX or Insight, depending on the market.

Whereas in manufacturing or heavy industrial, the plants and the manufacturing environments have more autonomy and we’re selling more at the plant level, where we feel very comfortable. Having either the relationship base or the knowledge base allows us to sell our solutions in really any market. 

How should SIs and aggregators be thinking about new technologies like AI, cloud, and the edge?

Tobias Enders: I think what is really critical around these trends and technology deployments is to emphasize that we need to think about the end user first. Of course, we use AI or the cloud to simplify and to add speed and scale into deployments, but ultimately our key focus should always be the end user and what they want to achieve by using these technologies. But we do think AI is just at the beginning of a huge trend for large organizations.

Give us some real-world examples of how SIs and aggregators can make a difference.

Ben Kotvis: Speaking of AI, Insight has a client that makes outboard motors. It had some defects in its die casts, and it was using AI models to detect them. We were able to operationalize that AI at the edge so we could take a thermal image of the die cast and look for those defects. Then we could notify the operator in the manufacturing plant with a visual alarm if there was a problem. And it tied in heavily with the operational systems that the client was already using. We were able to prevent a lot of extra work by determining problems early in the manufacturing process.

We’re also doing a ton of work with computer vision and looking for patterns in the retail world—looking for people going into areas where they shouldn’t be, for example. The challenge there is undersizing the computing. The retailers might think they’re going to use two particular computer vision models, but they end up thinking, “I could maybe have another five here, and they could help us with all sorts of additional problems.” So that introduces new problems, but it’s good for our business.

“We know that building and delivering complete solutions is a lengthy and complex process; our job as an aggregator is to simplify that complexity” – Lisa McGarvey, @TDSYNNEX via @insightdottech

Matt Tyler: Wachter is working with a robotics company that’s a package solution. It comes into a distribution center and is able to de-palletize, pick, pack, ship, and re-palletize all of the inventory. It’s tremendous, and it uses a lot of AI in that. Well, what it wasn’t looking at was the maintenance and health of its own robotics within its own system. So we worked with it to implement vision systems within its robotic cells to keep an eye on what’s going on, and to call its robots out of service if there’s a potential for failure.

Lisa McGarvey: TD SYNNEX is actually working with Wachter and Matt on an opportunity right now to monitor generators. We needed an SI; we needed someone to help connect and monitor multiple models and brands of generators, as well as provide installation and implementation services. As an aggregator, we identify and bring together those multivendor solutions.

Tobias Enders: We see a big trend towards hybrid working. Lots of our customers end up with unused capacity of space in their office buildings. On one side that’s a big pain point, but on the other side it’s a huge opportunity for them—to rightsize their buildings and benefit from the cost savings, or to add more people to one particular space to use its capacity better.

Of course desk sharing is something that nearly every organization around the globe is currently implementing. IoT comes into play with that, because we need to really understand the utilization of the working space. So GPA helped a large manufacturing company to equip all its desks with little IoT sensors to measure occupancy—if someone is there or if it’s free. This helps dramatically in getting a better understanding of how the space is really used.

That comes together with a smart building platform, with an app where you can book your desk. The corporate real estate managers use the dashboard to see the utilization. This sounds like a very simple use case, and of course it is. However, it’s a huge, huge business case; return on investment for the customer with that information is a 40% or 50% savings of real estate cost, just with a couple of sensors on the desk.

Lisa, you mentioned the partnership with Wachter. Are there any others you want to call out?

Lisa McGarvey: I definitely want to call out Intel. Intel has made significant investments in its solution aggregator program—Intel® IoT Market Ready Solutions—and in the ecosystem partners that it brings to us, as well as the industry expertise that we’ve leveraged. TD SYNNEX has a great partnership with Intel, which has really helped us as we’ve had to respond and adapt quickly to all the accelerated business-transformation needs brought about by the pandemic. The Intel Solution Aggregator relationship enabled us to do that.

What are some of the criteria that you at Insight look for when choosing a partnership, Ben?

Ben Kotvis: Areas where we’re weak or where we don’t have particular specialties our clients need are obvious points. There can be a lot of complexity around operational-computing technology, and our partnership with Wachter is valuable because it plugged into an area where we didn’t really have the expertise. Another great place to build partnerships is around services where physically, or from a particular locale, we just don’t have coverage.

Matt, what is the value of partnering with someone that might be thought of as a competitor?

Matt Tyler: It’s amazing that about 40% of our business is done with partners, either sell-to or sell-through. Through our partnership with Intel, through our partnership with TD SYNNEX, I’ve built a relationship with the folks at Insight. With the level of trust that we have, we can fully engage with end-user customers without fear of anyone’s ego, or anyone trying to take business from the other.

What opportunities can we look forward to in the future?

Ben Kotvis: Things are coming to life that Insight has been investing a lot of time and energy into. I mentioned retail earlier—we’ve invested a ton into the computer vision and intelligent edge there, and we’re really seeing it come to life right now to an extent that is very exciting to us. That’s something that we plan to build on and widen and bring into other industries as well.

Tobias Enders: GPA has identified the IT space as a very relevant part of future business. We want to reduce complexity, and IoT is still very complex and fragmented, so this is where we see opportunity. In the IoT space we feel that we can add lots of value from a consulting standpoint, but also from a systems integration standpoint.

Matt Tyler: If you’re paying attention to anything in the news, the explosive adoption of AI—including ChatGPT—is absolutely incredible. We’re going to see that shift into the commercial-market space—fully autonomous retail stores, fully autonomous factories and logistic centers. Wachter sees this as being the next big step to being able to ultimately provide customers and consumers a better shopping experience, and retailers a better online receiving experience.

Lisa McGarvey: TD SYNNEX has a four-pillar investment strategy to support aggregation and orchestration. One: invest in high-growth technology areas. Second: strengthen our end-to-end portfolio, customer solutions, vendors, and our ecosystem. Third: transform digitally through advanced analytics and digital platforms. And last: expand our global footprint.

But the goal is to really help our partners deliver the right solutions, knowing that no one can do it alone.

Related Content

To learn more about system integrators and the IoT space, listen to The Power of IoT Partnerships with SIs and Aggregators. For the latest innovations from TD SYNNEX, Wachter, Inc., Insight, and GPA, follow them on Twitter at @TDSYNNEX, @WachterInc, @InsightEnt, and @GPA_AV and on LinkedIn at TD SYNNEX, Wachter, Inc., Insight, and GPA.

 

This article was edited by Erin Noble, copy editor.

Hannover Messe 2023: The Next Phase of Smart Manufacturing

We live in a time when businesses not only have to keep up with the rapid pace of change but ensure these transformations benefit society. That’s why the theme at Hannover Messe (HMI) 2023 this year was all about “Making the Difference.”

The global industrial event, which took place from April 17 to 21, saw dozens of Intel® Partner Alliance members showcase exactly how they make a difference through Industry 4.0, AI and machine learning, energy management, and sustainable operations.

Intelligent Edge Enables Real-Time Analytics

To make these changes possible, companies adopt an intelligent edge approach, allowing for real-time processing and data collection. This, in turn, results in faster decision-making, improved operational efficiency, and reduced downtime. At Hannover Messe 2023, technology solution provider Dell Technologies presented a variety of edge-to-core solutions to demonstrate this trend.

“Dell has been talking about edge for a number of years now, and this is one of those shows where really we get to highlight what we mean when we are talking about going to market with edge. This is an industrial show with an industrial partner ecosystem with industrial customers,” says Willie Reed, General Manager of Global Industries at Dell. “We are talking about outcomes. We are talking about how we are making this real in a trusted environment.” (Video 1)

Video 1. Willie Reed, General Manager of Retail and Manufacturing for Dell, and Ricky Watts, Industrial Solutions Director at Intel, discuss the benefits of edge computing for the industrial space at Hannover Messe 2023. (Source: insight.tech)

During the event, Dell exhibited its range of edge products like the Dell PowerEdge XR4000, new Dell Gateways, and the latest 16G servers designed for industrial settings, many of which are based on Intel Atom® i3, i5, and i7 processors. Additionally, to help telecoms with the move toward vRAN and Open RAN, Dell highlighted a variety of its XR servers equipped with the latest 4th Gen Intel® Xeon® Scalable processors.

Adopting an #IntelligentEdge approach allows for real-time processing and #data collection. This, in turn, results in faster decision-making, improved #OperationalEfficiency, and reduced downtime. @hannover_messe via @insightdottech

Edge computing “gives you the flexibility I need right now in the factory, but with the flexibility to manage it in an IT standard way. And what’s really what we are offering,” says Reed.

As an example, Dell demonstrated exactly how it helps factories with its partnership with Exhibit ‘A’, a small-batch brewery in Massachusetts (Video 2). The brewing company, which had previously done much of its work manually, wanted an easier way to monitor its product and ensure its reliability and quality. Exhibit ‘A’ turned to Dell Technologies to digitize its operations via edge gateways, and is now able to easily monitor the temperature and pressure of its tanks and adjust accordingly.

Video 2. Dell showcased how its partnership with Exhibit ‘A’ has improved operations, reliability, and quality for the brewery at Hannover Messe. (Source: insight.tech)

Beyond the edge gateway, data can be sent to the cloud to gain valuable insights via historical and live data. The brewery can leverage Dell PowerEdge x4000 servers with Intel Xeon processors to look at production assets and perform predictive maintenance on its machines. This allows employees to ensure the machines always work properly and to detect any defects in the final product before it ships.

Robotics Come to the Factory Floor

Another major theme explored at the event was how to safely incorporate robotics on the factory floor. Case in point was cloud computing company VMware’s robotics, vision, and control (RVC) demo with Intel (Video 3). The companies have taken a software-defined approach to manufacturing with a scalable, managed edge compute solution to combine workloads and reduce the hardware footprint on the factory floor.

Video 3. Ralf Sengle, Engineering Manager for Intel, walks through a robotics, vision, and control demo with VMware at Hannover Messe. (Source: insight.tech)

By leveraging the VMware Computer Stack, businesses can combine, manage, and orchestrate their workloads. And with the OpenVINO toolkit, they can enable their robotics to identify objects in real time and perform tasks like defect detection.

Also featured at the VMware booth was the idea of collaboration robots. Using the same camera used for object tracking, manufacturers can create additional AI streams for hand detection or worker safety. That enables the system to receive information if a worker enters the production environment and feed it back to the robot to slow down or move out of the way.

“I can interact with the robot, without losing any of the workload, because it continues to go, but it does it in a very safe environment. If I am breaking the [production] field, I can interact, help, or do something with it. [Then] come out, and the machine goes back to its normal operating procedure,” says Ricky Watts, Industrial Solutions Director at Intel.

NEXCOM International’s subsidiary NexCOBOT also displayed a functional safety robot control solution with a platform powered by Intel Atom processors and Intel® Safety Island (Video 4). According to Jenny Shern, General Manager of NexCOBOT, this provides robot and machine makers with smart building blocks to design their systems faster. Its advanced features include robot control and safety I/O modules like power and force limitations, hand guide control, monitored stopping, and speed and separating monitoring.

Video 4. NexCOBOT introduces its x86 functional safety control platform at Hannover Messe. (Source: insight.tech)

Together with its partners, the company is also able to incorporate no-code robot programming, voice-control capabilities, and an intuitive user interface to simplify the process even further.

“The market demand of functional safety in human robot collaborative applications is promising. It’s our pleasure to collaborate with our partners Intel, Synapticon, Fraunhofer IWU, RTS, and Sysgo to equip robot builders with the tools to build safer, high-performance robotic solutions in shorter time frames,” says Shern.

Elsewhere on the show floor, HPE demonstrated how to unlock manufacturing data using the cloud with industrial automation datacenter, digital twin, and generative AI demonstrations. Canonical featured a FlexRAN demonstration with full support for the 4 Gen Intel Xeon Scalable processors and Intel® vRAN boost hardware platform. And Phoenix Contact demonstrated its PROFINET over Time-Sensitive Networking (TSN) solutions.

See what else you missed and where the next generation of smart manufacturing is headed with on-demand content available over at the Hannover Messe 2023 website!

 

Edited by Georganne Benesch, Associate Editorial Director for insight.tech.

The Power of IoT Partnerships with SIs and Aggregators

Technology partnerships with systems integrators (SIs) and aggregators have always been important—but now they are becoming essential. As digital transformations continue to accelerate across industries, businesses are finding it’s becoming harder to successfully implement IoT technology alone. These partnerships allow them to leverage expertise and resources quickly and effectively to meet their custom or specific needs. For instance, systems integrators and aggregators can provide the necessary technical support—such as software development and maintenance—and ensure that the system is configured and optimized to deliver the desired results.

In this episode, we talk about the latest trends and innovations in IoT and how systems integrators and aggregators work together to leverage these technologies and deliver more value to businesses. We will also discuss the different types of partnerships and the unique value that each can bring to the table.

Listen Here

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Our Guest: Intel

Our guests this episode are:

Podcast Topics

Lisa, Matt, Ben, and Tobias answer our questions about:

  • (2:24) The evolving role of SIs and aggregators in the IoT world
  • (4:19) Challenges SIs and aggregators face in the IoT space
  • (7:32) The importance of SIs and aggregators when scaling across markets and regions
  • (9:11) Key IoT trends and opportunities for SIs and aggregators
  • (14:50) Examples of how SIs and aggregators provide IoT support
  • (28:15) What they look for when choosing an SI or aggregator
  • (34:32) The future of the IoT space and the roles for SIs and aggregators

Related Content

To learn more about system integrators and the IoT space, listen to Into the IoT Partner Multiverse with Tech Data EMEA and Seven Dirty Secrets of IoT. For the latest innovations from TD SYNNEX, Wachter, Inc., Insight, and GPA, follow them on Twitter at @TDSYNNEX, @WachterInc, @InsightEnt, and @GPA_AV and on LinkedIn at TD SYNNEX, Wachter, Inc.Insight, and GPA.

Transcript

Christina Cardoza: Hello, and welcome to the IoT Chat, where we explore the latest developments in the Internet of Things. I’m your host, Christina Cardoza, Editorial Director of insight.tech, and today we’re talking about the power of systems integrators and aggregators with a panel of expert guests from GPA, Insight, TD SYNNEX, and Wachter. But before we get into the conversation, let’s get to know our guests a bit more. Lisa, I’ll start with you, from TD SYNNEX. Please tell us more about yourself and the company.

Lisa McGarvey: Sure, thank you. I’m Lisa McGarvey. I work for TD SYNNEX. We’re a global distributor and solution aggregator with a vast ecosystem that enables us to deliver end-to-end solutions from edge to data center to the cloud. I lead our team that focuses on solution aggregation efforts, key alliances, and vertical market enablement. And our mission is to really help our partners to monetize the entire data opportunity from data creation to data analytics.

Christina Cardoza: Great. Can’t wait to get a little bit more into that. But first, Matt Tyler from Wachter. Welcome to the show. Please tell us more about yourself.

Matt Tyler: Thanks for having me. So, Wachter is a nationwide solution integrator, primarily focusing on the OT, but also crossing into the IT side of the world. We are 93 years old, and we operate out of all 50 states with about 1,500 of our own W-2 workforce.

Christina Cardoza: Great. And next we’ll move to Tobias Enders from GPA.

Tobias Enders: Hello. Hi, my name is Tobias Enders. I’m based in Germany. I run the GPA team in Germany as the CEO. GPA is a global systems integrator focused on collaboration technologies, AV, and meeting room technologies. And we have recently been recognized as the largest systems integrator in the world by SCN 50.

Christina Cardoza: And last but not least, Ben Kotvis from Insight. Please tell us more about yourself.

Ben Kotvis: Yes. Hi, I’m a Senior Architect in our Enterprise Strategy Team. And so, Insight is a company that’s a solution integrator. We sell a lot of hardware and we also sell a lot of software services through a number of acquisitions. We are a global company. We’re looking forward to the conversation today.

Christina Cardoza: As am I. So, obviously lots of expertise across the board for this conversation today. I want to start off talking about the role of systems integrators and aggregators when it comes to IoT, and how their role has had to evolve as this space has had to evolve. So, Lisa, I’ll throw that first one to you.

Lisa McGarvey: Sure. Thanks, Christina. So, if you look at the move from traditional distribution and product sales to what we’re seeing today from a company like TD SYNNEX, we’re actually aggregating and orchestrating solutions, and we believe that model becomes exponentially more valuable to our partners and our ecosystem. And we’re really positioning ourselves at the center of that IT ecosystem, because traditional distribution was really limited in the value-creation aspect of that.

But with digital transformation and the need for digitization, it’s really allowing solution aggregators like ourselves to differentiate and unlock the potential of that ecosystem that we’re seeing. Our focus is around high-growth technologies and growing partnerships with the ecosystem like MSPs, OEMs, ISVs, and SIs. And that’s a key investment area for us. And we’ve been continually growing our capabilities to really meet the emerging technology and transformation needs of the markets that we’re seeing to enable and support our customers. We know that building and delivering complete solutions is lengthy and complex; our job as an aggregator is to really simplify that complexity.

Christina Cardoza: Yeah, that’s great. And you mentioned this traditional distribution model, and it’s now changing, of course, in today’s modern world. So, I’m wondering what are some of the challenges that come along with those changes, and, like you mentioned, how systems integrators and aggregators can make that simple. Because I feel as you add more technology and intelligent features, things get great, but it also gets a little bit more complex on how you can do things. So, Matt, can you talk about some of the challenges we’re facing today in the IoT space, and how SIs and aggregators are there to help?

Matt Tyler: You’re 100% right in the fact that these technology solutions aren’t becoming any less complex. As the vertical silos of technology over the years have been implemented, our customers are looking to have those integrated together, share the data, make it more valuable and actionable. So the challenge is—coming from the OT side of the world—is we now need access to data centers, data sets that we never would’ve had access to prior. We need to provide the connectivity, the sensor traffic, tie disparate systems together and not—I don’t believe any one organization can do it all together as one.

It really does rely on partnerships and relying on aggregators like TD SYNNEX and Insight and others to come together to deliver the outcomes that our customers are looking for. So we now heavily rely on our aggregation partners to help initiate conversation with what may be perceived as our competition to work together to become an overall solutions provider for our customers.

Christina Cardoza: That’s great. I love how you mentioned that not one organization or company can do this alone. I think this idea of “better together” is a theme that we have seen across all industries, so I want to dig deeper into that a little bit later in our conversation. But before we get to that, Tobias, you mentioned in your intro—you guys are working with systems integrators—a lot of people around the industry. So I’m wondering how you’re seeing systems integrators and aggregators being able to simplify some of the complexities that we’re talking about, and help successful IoT deployments.

Tobias Enders: Yeah. So, we’re using IoT devices and sensors a lot in the context of smart workspace and smart building. And what we see is that the market is still very fragmented. And we have different partners in that play, different people trying to get their business case around the IoT sensors with cloud subscriptions, different portals, and so on and so forth. So this adds a lot of complexity to rollouts. And we design for scale and for speed for our customers. That’s what they really want on a global scale, and therefore we need strong partners helping us to solve these issues and building this ecosystem. So that’s really key for the success of global rollouts. And of course you have logistics and global pricing and other implications that you need to handle if you think about how to deploy on a global scale.

Christina Cardoza: Great. And speaking about scale, I work with a lot of Intel® Partner Alliance members, especially in the IoT space, and one thing that I’ve noticed is that they have these IoT solutions hitting a certain vertical or market, and I’m seeing them want to transform those applications or solutions and go into different industries or leverage the expertise they have and provide more solutions, not only just in different global areas but in different industries. So, Ben, I’m wondering if you can talk about the importance of working with these systems integrators and aggregators when it comes to being able to scale their solutions, make them bigger, reach more audience, but also reach different regions and markets.

Ben Kotvis: Yeah, so I think relationships still matter. So, having the ability to use partners that we have all over the world for different pieces of a solution is really important. And I’m often impressed when we come to the table with a solution where there may be some cabling needed, or there’s particular needs around software development or network expertise. And we have partners in different regions of the world that we can tap to help provide those services and to source that hardware quickly, because we’ve got that reach all over the world.

So it’s something that we put a lot of work into—creating those relationships and maintaining those relationships with those partners. And it takes—it pays off in the long run, when we can quickly provide solutions and transact with our clients quickly to provide that value very—in the timelines that are meaningful to them. So it’s—when it comes down to it, we’ve got relationships with people just like everybody else, but it’s broad, and there’s just a lot of folks all over the world that are working on that.

Christina Cardoza: So I think it’s obvious: the importance of systems integrators and aggregators to IoT development and deployment. We’ve been talking a little bit about how they come in and they help simplify things and really work as a partnership with organizations and companies. But I’m wondering if we could dig a little bit deeper, Lisa—if you have any examples, or you can mention any efforts or achievements you’ve seen working with your systems aggregators, how they’ve helped and transformed the IoT space today.

Lisa McGarvey: Yeah. So, I mean, we’ve talked about, and we were just—all of us mentioned this—there’s a huge need for specialization and differentiation, right? And the value stack that we’ve created supports those needs. Whether it’s a horizontal capability or vertical expertise, we’ve made investments in those types of skills and capabilities to really help reduce the complexity and monetize the opportunity, right?

We have our award-winning practice builder, and that’s really how we help our partners build new or accelerate existing practices in high-growth technologies and verticals. So we have consultants and coaches to support this with our partners. Also, vertical expertise has been part of our DNA, right? We’ve built enablement and programs to assist our partners to have more strategic and relevant conversations with line of business, right? We know that that’s where more and more the buying decisions are being made. So we want to enable our partners to be able to have those conversations and understand how technology supports business priorities and business opportunities.

And if you look at IoT solutions, that often crosses domains of expertise, as well as product portfolios. So we really try to provide that support across the board to help our SIs and our resellers scale, and let them provide their industry domain and what they do really well, but help them in adding resources where we’ve made investments, and let them address the needs of the customers. So we’re really expanding into new markets—helping our partners to be able to do that in aggregating and bringing resources to them to enable them to accelerate what they’re doing and what they do well.

Christina Cardoza: Yeah, of course, and I love that. We’ve been talking about how it’s so important for systems integrators and aggregators, for organizations and companies, to scale themselves. But, of course, on the other side of it, aggregators and integrators, they want to scale themselves too. They want to be able to help more and to expand their partnerships. So, Matt, I’m wondering how they can build off of some of the efforts that Lisa just mentioned and scale on their end also.

Matt Tyler: Sure. Lines of communication are key to selling any type of solution. And the way you attack different markets is unique in the fact—where we may have some retail customers that have a top-down approach, we may go sell to the C-suite in a retail setting, and they push whatever directive from a digital transformation down to the retail stores themselves. Whereas if we were in manufacturing or heavy industrial, the plants and the manufacturing environments have more autonomy, and we’re selling more at that plant level. We feel very comfortable at that plant level.

And sometimes we need some help from our partners, such as TD SYNNEX or Insight, to come from the top down, depending on which market. So we feel that having these open lines of communication, having the trust built allows us to sell our solutions really in any single market without having to have that—the knowledge base or the relationship base at both ends of the spectrum.

Christina Cardoza: Great. And in the beginning I think I alluded to organizations wanting to add more intelligent capabilities and technologies as part of their IoT development and deployment. So, Tobias, I’m wondering if we can talk a little bit about AI, cloud, the edge—some of these important key trends that are happening in the IoT space. How does it fit into the relationship with systems integrators and aggregators, and how can companies and organizations leverage these new emerging trends and technologies and work with the partnerships to help them be successful?

Tobias Enders: Yeah, of course. Big buzzwords, I think, at the first place. AI, edge, cloud—all this stuff is really something that is—it’s been used as a door opener in the first place. I think what is really critical around these trends is to emphasize that we need to think about the end user first when it comes to technology deployments. Of course trends like AI or, of course, the cloud is something that we use to simplify and to add speed and scale into deployments. But ultimately our key focus should be always the end user and what they want to achieve by using these technologies.

And, from my perspective, they have the power to be really transformational when it comes to technology usage and adoption. Especially AI might be a game changer. And we are all seeing these, yeah, quite recent postings around AI and how it can be used. So it’s quite fascinating to see, and we think it’s just the beginning of a huge trend that will be used around large organizations—how to improve their processes and, of course, the end-user experience in their buildings and in their working environments. That’s definitely a key trend from our perspective.

Christina Cardoza: Great. So, we’ve been talking about some of the expertise and skills that the systems integrators and aggregators bring to IoT journeys, but I’m wondering if we can get some use cases or customer studies that we can provide the audience with to give them some real-world examples of how systems integrators and aggregators are actually coming in and making a difference and helping these organizations. So, Ben, I’ll start with you.

Ben Kotvis: Sure. So, I think that we’ve gotten a lot of opportunities to work with our partners to build solutions, and that is as simple as sometimes in agriculture I’ve literally worked with some of our partners and dug holes in the ground to put sensors, and it calls back to some of the first jobs I’ve ever had. It’s a lot of fun. Not necessarily the best use of our time and money, but it’s a good way to understand the problem space.

But we have some clients, speaking of AI, where in one case a company that makes outboard motors had some defects in their die casts, and they were using AI models to detect those die casts. And so one of the powerful things we were able to do in that solution was operationalize that AI at the edge, where we could take a thermal image of the die cast and look for those defects, and we could actually notify the operator in that manufacturing plant if there was a problem with a visual alarm.

And so it tied in heavily into the operational systems that they were already using. And the outcome is that instead of adding a whole lot of additional components to this outboard engine—just to scrap it later because it was going to fail once they put gasoline in it and started using it—we were able to prevent all of that extra work because we were able to determine that early in the manufacturing process.

We’re also doing a ton of work in retail right now with computer vision and looking for patterns, looking for people going into areas that they shouldn’t, looking for behavior that people shouldn’t be doing, and be able to determine that quickly. And of course these solutions with our partners where they may have AI models that we can operationalize quickly to solve those problems, in addition to some of the other folks that I talked about earlier with cabling and the hardware that goes along with those solutions—the cameras and the partners that are even on this call that can help contribute to these solutions.

This is all how it comes together in a real-life scenario. And we’re seeing scenarios where we do deploy those AI models to retail scenarios. And the challenge we have is undersizing the computing, because they do—maybe they think they’re going to use two particular computer vision models, but they end up thinking, “Oh man, I could maybe have another five here, and they could help us with all sorts of additional problems.” So that introduces new problems, but it’s good for our business. And so this is where these particular solutions come to life. So those are a couple of good examples.

Christina Cardoza: Yeah, and I love that first example you talked about. Sometimes you have to fail or experiment to learn and to continuously improve, and then you can go on. You learn from that, and, like you said, you can start preventing things before they even happen. Matt, I’m wondering from Wachter, how you guys have been working with customers, or any examples that you can show in this space.

Matt Tyler: Sure. I have a couple extreme cases, one from the low-tech side, to the high-tech side. One is we were working with Ben and his company on a joint customer up in the Northwest that operates critical infrastructure. They were in need to come to compliance with some regulatory issues. So we were brought in to look at the OT side of the space—basically the instrumentation and the controls and automation of their compressors and their pumping stations.

Well, some of these systems still operate Windows XP—that if they get updated, or if the service that they connect to gets updated, tend to go offline and cause customers to go without service of their natural gas delivery. So we were able to come in and help write a policy and procedure on upgrade policies to ensure that the operator remains in compliance while they can still do their data center– and their IT system–upgrade globally.

The other is, we’re working with a robotics company, and fully automatizing in logistics and distribution. So, this company is a package solution that comes in to, say, a million- to two-million-square-foot distribution center. They’re able to de-palletize, pick, pack, and ship, re-palletize all of the inventory, which is tremendous. They use a lot of AI in that. Well, what they weren’t looking at was the maintenance and health of their own robotics within their own system.

So we worked very closely with them on implementing vision systems, along with audio-analytical systems, within their robotic cells to really keep an eye on what’s going on, and call their robots out of service if there was a potential for failure during the operation of those robotics. So we’ve partnered up with some very large integrators, some manufacturers and end users to really look at the full spectrum. And those partnerships were all brought to us from the Intels and the TD SYNNEX of the world. So it’s been a tremendous success story for us.

Christina Cardoza: Yeah, I love those examples. Sometimes you’re working in industries or with organizations where failure or shutdown is not an option, and you need to make sure you have guardrails or reliability in place so that you can continue your operations. So I love hearing that. Lisa, you mentioned some efforts that TD SYNNEX was making earlier in the conversation. I’m wondering how those relate back to your customers or your end users, and how you’re helping them solve their problems today.

Lisa McGarvey: Yeah. Both Ben and Matt gave some great examples of what we’re seeing. We’re actually working with Wachter and Matt on an opportunity right now to monitor generators, where an opportunity came to us and we brought in—we needed an SI, right? And we needed someone to help connect and monitor those multiple models and brands of generators, as well as provide installation and implementation services. So, as an aggregator, that’s where we identify and bring together that multivendor solution, but also identify who can provide the solutions and who can be a part of that.

We also—a great example of our solutions consultants working with our partners—they get asked to address some challenges, right? And one of our partners just brought us something around process improvement to meet some of the new challenges of the 21st century; prepare for impending changes; and what does that look like to the current operational structure; and what impacts may that have on infrastructure, services, and installation operations? So, a lot of these multi, big projects where we do—we need a lot of different partners to be able to look at services and deliver the solutions.

Perimeter security is a big part of this opportunity that we’re working on, and they want something to be able to respond more rapidly and efficiently, something that will integrate with their existing and future technology investments, while fulfilling the requirements that they have today to support full coverage of all the entry points, to have weather survivability, right? And TD SYNNEX is really there to identify what solution that is, what vendors to bring in, and then who—how can we help the customer quarterback the coordination of all the integration of the solution for the client.

Christina Cardoza: Yeah, that’s great. It’s taking a lot of the guess work out so that the client can focus on what really matters or what the priority tasks are for them. And I love seeing the partnerships, even within this own panel with these companies here, and I want to get into that a little bit more. But before we do, Tobias, I would love to hear how GPA is working with customers, if you have any use cases or customer examples you can share.

Tobias Enders: Yeah. What we see is a big trend towards hybrid working. Of course that’s a game changer. And we all know that hybrid work and home office is here to stay, so it’s not a short-term trend. But what we also realize with lots of our customers, especially when they operate large real estate—corporate real estate managers—that they end up with lots of unused capacity of space in their office buildings. And that’s a big—on one side that’s a big pain point, but on the other side it’s a huge opportunity for them to rightsize their buildings and to gain the benefits out of the cost savings, or to add more people to one space to use this capacity better.

So of course desk sharing is something that nearly every organization is currently implementing around the globe. But with that IoT comes into play, because we need to really understand the utilization of the working space when it comes to meeting rooms, but also when it comes to working desks and other areas. So we helped a large manufacturing company to equip all their desks with little IoT sensors. And what they essentially do is to measure the occupancy—if someone is there or if it’s free, busy, information. So this helps dramatically to get a better understanding on how the space is really used.

And of course it comes together with a smart building platform with an app where you can book your desk to get a better understanding. And that dashboard is for the corporate real estate managers to really see the utilization. And it sounds like a very simple use case, and of course it is. However, it’s a huge, huge business case and return on investment for the customer if you find out that you can save 40% or 50% of your real estate cost just with a couple of sensors on the desk.

And this is typically the results that we see with our customers across industries. So that’s something that is heavily used. And of course and the next question is how to enable better meetings, and how to enable hybrid meetings, and then it comes to video conferencing and all the natural stuff that we do to really equip them for the future of work and for smart workspace. So these are the examples that we do.

Christina Cardoza: Yeah, absolutely. And I think, even within this own call, a lot of us are working from home, and then you have those offices or buildings sitting there just using power. And I think, buildings—they contribute to even so much carbon emissions in the world. So some of the solutions you’re talking about are even important from a sustainability aspect. How can we make sure that these are running efficiently and affordably and looking at the whole picture? So I love that.

Lisa, I want to go back to what you were talking about with the partnerships with Wachter and Insight and TD SYNNEX. We’ve heard a lot about the importance of working with others, so I’m wondering if you can just expand a little bit more on that, or if there’s any other partnerships you want to call out.

Lisa McGarvey: I mean, I definitely want to call out Intel. Partnerships have been key, especially with them, as they’ve made significant investments in their solution aggregator program, their Market Ready Solutions, their ecosystem partners that they bring to us, as well as even their industry expertise that we’ve leveraged, and we have great partnership with them.

And they’ve really helped us, as TD SYNNEX had to quickly adapt and respond to all the accelerated business-transformation needs brought about by the pandemic. The Intel Solution Aggregator relationship enabled us to respond quickly to that changing business climate. And we were able to support customers in new ways. I mean, leveraging Market Ready Solutions to offer complete use cases and solutions for hybrid workforce, like you just talked about—able to scale to those new work environment needs.

At schools they had to adapt to new methods of learning, leverage RES solutions. We were able to easily identify and offer remote-education solutions. And even an ongoing, more prevalent necessity, healthcare—servicing the underserved population, especially during times around the pandemic. We were able to support partners with Intel’s ecosystem, offering prepackaged bundles to serve these types of customers. So, we don’t sell to end users, so we’re always partnering with SIs and resellers. And so all the co-panelists on this call here, we’re continually trying to find new opportunities to partner with them, because we all bring unique skill sets to enable our customers.

Christina Cardoza: Yeah, exactly. Talking about the unique skill sets, I think it’s not only important to make sure you’re working with others in this industry and partnering, but making sure that you find the right partner for the solution that you are trying to build, or what you’re trying to get out there. So, Ben, I’m wondering, from Insight, you work with TD SYNNEX, you work with Wachter—what are some of the criteria that you guys look for when choosing a partnership?

Ben Kotvis: Yeah. So, obviously areas where we’re weak, or we don’t have particular specialties where it’s obvious that our clients need that—that’s pretty low-hanging fruit. So, in the example of Wachter, one of the reasons that we saw that as a valuable partnership is there’s just a lot of complexity around some of the operational-computing technology, and bridging that gap for us from an STK perspective and just an opinion perspective was really valuable to us, because certainly we have done integration at the lower levels with those, but it’s not an area that we want to spend a lot of time on. We don’t want to have to think about all the complexities around that. And so that was a great partnership for us that plugged into an area that we didn’t really have the expertise in.

Also, we’ve got hundreds—or thousands, I should say—of people that are software engineers. We do Java, C#, Python, a lot of those types of things. But in some cases in IoT people are looking for sensors where they need something that’s embedded, or they need something written in C. So finding partners that can actually write those devices, build the software on those devices, and connect to our cloud platforms or our centralized ingestion platforms—and so those areas where we want to fill those gaps.

And then the services that maybe physically or from a particular locale, we don’t have coverage—that’s another great place to build partnerships. So I think those areas in general where we’re weak, the partners make us strong. It sounds a little bit cheesy, but it’s true.

Christina Cardoza: Yeah, absolutely. And I think one thing that I’ve noticed is sometimes these partnerships are companies that you would think are competitors, or that are competitors of yourself or organizations that you are working with. So, Matt, I’m wondering if you can talk a little bit more about that. What’s the value of your partnerships? Or what would be the value of even partnering with somebody that you know is “quote unquote” a competitor?

Matt Tyler: Yeah, it’s amazing that about 40% of our business is done with partners, either sell-to or sell-through. So, trust and competency are probably the two words that I’d use to describe the relationships that we have. Through our partnership with Intel, through our partnership with TD SYNNEX—I’ve built a relationship with the folks at Insight, and we’ve built a level of trust just over the last several years to where we can fully engage with end-user customers without fear of anyone’s ego, or anyone trying to take the business from one another.

A lot of times—especially in IoT, when there’s multiple partners involved in a solution, and it is that traditional prime submodel, margin stacking becomes cost prohibitive to the customer. We get stuck in IoT purgatory or proof-of-concept purgatory because of margin stacking. It looks great, works great in the proof of concept, but once it goes to scale it just doesn’t because of the cost.

Building levels of trust and having the understanding of roles and responsibilities allows us to even mitigate that by having direct avenues to the customer, knowing that we’re all working for that same end goal. So, like I said, trust and then having the competency to be able to fulfill the gaps, like Ben was speaking of, is what we look at, especially when we’re dealing with what would be perceived as our competitor.

Christina Cardoza: That’s great. And we have this great partnership going on between TD SYNNEX, Insight, and Wachter. So, not to leave GPA out, Tobias, I’m wondering if you can talk about some of the partnerships that your company has, and what the value has been in meeting your goals.

Tobias Enders: Yeah. Partnership is really a core center of GPA. If you think about the concept of GPA, we are a partnership and a shareholding partnership in our way and how we deal with each other in all the different business units that we have in each country. So you can see that partnerships are critical from a GPA standpoint. And we created our own partnership program as an integral part of GPA, where we have support and very close relationships with the largest organizations that are relevant in our space. And of course, it would not work without these partners. It’s just impossible.

And there are also folks like TD SYNNEX, but also the manufacturing partners are directly involved in our partnership program, and even indirect partners like Intel. It’s about connecting the dots. That’s one side of the story, I would say. And I think, as Matt said, it’s about the relationship and the trust side, because, ultimately, it’s not about having a big brand on a logo wall and say, “That’s our partners.” At the end of the day it’s about building the trust, building the relationship, businesses between people, and that’s what it’s all about.

It’s true for our GPA transactions that we do as a cross-border business every day, but it’s also true working with our global partners supporting us in supply chain and pricing and execution of projects. So therefore the partnership premise is really important from our perspective. And it might not be the biggest brands, especially when it comes to the smart workspace and IoT space. We found a couple of smaller partners when it comes to software integration, and we built quite strong relationship with them working side by side, going into pitches together, and being highly successful. And I think that’s what it’s all about, and that’s what a partnership makes relevant, from my perspective.

Christina Cardoza: Yeah, absolutely. And I love that don’t leave out the little guy. It’s not always about the name and the flash. It’s really about the skill sets and the expertise that each partnership brings to the table. And I can’t wait to see how else these partnerships continue to grow and scale as this space continues to evolve.

Unfortunately we are running out of time right now. But before we go, I just want to throw it back to each one of you. Just talk about what comes next; what are the opportunities we can look forward to in the future; or what do you hope that our listeners get out of today’s conversation? So, Ben, I’ll start with you on this one.

Ben Kotvis: Yeah. I think understanding that things are coming to life that we have been investing a lot of time and energy into as we saw the roadmap for technology. And so, as I mentioned retail before, it’s something we’ve invested a ton in the computer vision, intelligent edge, and we’re really seeing it come to life in retail right now to an extent that is very exciting to us. And so that’s something that we plan to build on and widen and bring into other industries as well.

Christina Cardoza: Great. And Lisa, what can we expect from TD SYNNEX next? Or what do you hope our listeners take away from today’s conversation?

Lisa McGarvey: Yeah. So, we have a four-pillar investment strategy to really support aggregation and orchestration. One, it’s invest in high-growth technology areas. Strengthen our end-to-end portfolio, customer solutions, vendors, our ecosystem. Thirdly, transform digitally through advanced analytics and digital platforms. And then expand our global footprint, right?

Specifically from my team you’ll see a focus on ISVs and AI, as we’re seeing more and more relevant computer vision, video-surveillance use cases in every industry, right? And I just want to hit on a goal: the goal is to really help our partners deliver the right solutions, knowing—again —that no one can do it alone. And partnership is so key to delivering true value to our customers.

Christina Cardoza: Great. Tobias, any final thoughts or key takeaways you want to leave us with today?

Tobias Enders: Yeah. So we, GPA, identified the IT space as a very relevant part for our future business. And I think there’s one key message that we found relevant. We want to reduce complexity, and IoT is still very complex, and it’s fragmented in a way. And this is where we see the opportunity. If we just sell commodity goods it’s just a reselling model. But in the IoT space we feel that we can add lots of value with the expertise from a consulting standpoint, but also from a systems integration standpoint. Therefore it’s really a key activity for our future plans for the next couple of years to invest further into IoT.

Christina Cardoza: Great. And Matt, please help us lead out of the conversation. What comes next, or what should our listeners be paying attention to?

Matt Tyler: Well, obviously if you’re paying attention to anything in the news, the explosive adoption of AI, including ChatGPT is absolutely incredible. We’re going to see that shift into the commercial-market space—fully autonomous retail stores, fully autonomous factories and logistic centers. It’s going to really take a big shift, but we see this as being the next big step where we’re being engaged more and more to be able to ultimately provide customers and consumers a better shopping experience and retailers a better receiving experience from online. So we foresee AI and automation being the next big swing.

Christina Cardoza: Yeah, absolutely. Well, with that, I just want to thank each of you all for the insightful conversation, and thanks to our listeners for tuning in today. I invite you all to please visit all of these websites—TD SYNNEX, Wachter, Insight, GPA—to see how they can help you in your IoT efforts, or what else they are doing in this space. Until next time, this has been the IoT Chat.

The preceding transcript is provided to ensure accessibility and is intended to accurately capture an informal conversation. The transcript may contain improper uses of trademarked terms and as such should not be used for any other purposes. For more information, please see the Intel® trademark information.

This transcript was edited by Erin Noble, copy editor.

Solution Aggregators + SIs Modernize Retail Operations

For decades, retailers were largely unaffected by technology change. While they made occasional upgrades—switching to more capacious barcode scanners or adding chip readers, for example—fundamentally, their systems remained stable and predictable, year in and year out.

Today, the picture has changed dramatically. Growing online competition and an acute labor shortage—both accelerated by the pandemic—have quickened the pace of innovation. Store owners and retail systems integrators that serve them are racing to adopt interactive digital signs, smart self-checkout kiosks, and other software-embedded equipment to drive efficiency and boost customer appeal.

“Traditional point-of-sale products are going away. Everything is moving to mobile, digital systems,” says Mike Byington, Vice President of Business Development at global solutions aggregator BlueStar Inc. “As technology providers, we can’t sit back and expect that what we sold yesterday will sell today.”

Systems Integrators Stay a Step Ahead

As retailers speed their technology updates, it puts pressure on systems integrators.

“A four-to-five-year cycle has become a three-year cycle. We have to make sure we can give customers the solutions they want and hit their delivery commitments, because otherwise, they’ll go somewhere else,” says Bob Kilby, Vice President of Sales at retail systems integrator Direct Source.

Rapid development of advanced capabilities, such as #AI and #ComputerVision has added to the pressure, which makes modernizing #retail #technology an increasingly complex endeavor. @Think_BlueStar via @insightdottech

Rapid development of advanced capabilities, such as AI and computer vision has added to the pressure, which makes modernizing retail technology an increasingly complex endeavor. To keep up with new technologies and meet their customers’ business needs, systems integrators often find it helpful to work with companies like BlueStar.

“We funnel much of our business through BlueStar because they cater to what our retailers are trying to do,” Kilby says. “We take a consultative approach with our retail customers, assisting them in mapping out their in-store experience.”

Direct Source has relationships with OEM hardware providers—a significant value-add for retailers. Because the company takes a vendor-agnostic approach. Depending on customer objectives, Direct Source will work with the hardware provider to bring together a customized solution that fits their needs.

“We co-sell hardware solutions and work on procurement schedules with BlueStar,” says Kilby. “And BlueStar provides tremendous value in helping manage the supply chain and warehousing to meet retailers’ large deployments and demanding rollout schedules.”

Direct Source gives BlueStar insights about retailers’ changing needs. BlueStar, which has ties to a vast network of OEMs and software providers, advises Direct Source about the latest technology trends. The companies confer on product selections, and Direct Source assembles customized packages to fit their customers’ needs and their facilities. This includes testing, staging, kitting, packing, shipping, software image loading, and more.

BlueStar supplier relationships enable the company to quickly ramp up production for thousands of stores nationwide, positioning retailers to attract more customers and serve them more effectively.

Smart Retail Technology Boosts Efficiency and Delivers New Revenue

BlueStar and Direct Source provide retailers a wide array of solutions, and one of the most sought-after is self-service kiosks. “We’ve seen the kiosk and self-checkout business increase very dramatically,” Byington says. “Self-service caters to customers who don’t want to stand in line and reduces the need for store labor.”

After adopting a self-checkout system, one specialty clothing retailer went from seven staffed checkout lanes to two. Associates now have more time to assist customers as they shop, suggesting products, and potentially increasing sales.

Retailers are also requesting computer vision cameras, which provide valuable information about product placement.

“The cameras see how customers move through a store. A retailer can learn the best places to position inventory and staff, leading to sales that might not have happened otherwise,” Byington says. Cameras do not store personal information but translate images into data that store owners can analyze to learn where customers linger. Computer vision systems can also be used in self-checkout scanners to prevent shrinkage.

“Loss prevention is one of the biggest issues retailers face,” Kilby says. If someone tries to scan merchandise at a price that’s too low, a smart camera system will stop the transaction, and a flashing light will summon an associate to ensure that items are scanned correctly.

Another new loss-prevention technology gaining traction is sophisticated RFID tags. Used on expensive items such as high-end tools, the new RFID tags will not allow a product to operate unless its tag has been activated at a store register.

“Many retailers have become desensitized to article surveillance tags that ding at the door,” Kilby says. “They’re looking for smarter, more effective technologies.”

In addition to boosting efficiency and preventing loss, BlueStar and Direct Source can help retailers gain a new source of revenue with interactive digital screens. For example, an automotive retailer placed 10-inch screens on a shelf where customers can look up products, saving associates time. Stores receive payments from product suppliers, who obtain preferential treatment in search results and flash ads when the machines aren’t in use.

Shopping malls and hotels are adopting much larger interactive screens for common areas. Some contain smart cameras that estimate the gender and age of passersby, with vendors and stores paying to display appropriate promotions.

Retail Technology in Action

Retailers have many options for upgrading their technology. Companies like BlueStar and Direct Source can help them phase in systems as they achieve ROI benchmarks. For example, a large home improvement store chain added self-checkout lanes in three phases as customers showed increasing interest. “The stores saved on labor and were more efficient. The ROI was almost immediate,” Kilby says.

Most lanes are now self-checkout, with a couple of staffed terminals at the ends used mainly for large, bulky merchandise, such as lumber. Later, Direct Source and BlueStar’s collaboration enabled a self-checkout option for these items, too.

“We worked with the customer, BlueStar, and the OEM to design a cordless scanner customers can use for large items. The ROI on that was incredible,” Kilby says.

Some retailers adopt multiple systems. In one case, a nationwide discount retailer wanted to improve the customer and employee experience throughout its stores, which were saddled with legacy equipment.

Working with Direct Source and BlueStar, the retailer started by replacing an old phone system that customers used to summon associates for help with 15-inch interactive screens. In addition to displaying product information, the screens show customers where items are in the store and how many are available. If an item is out of stock, the customer can have it delivered from a different store or add it to an online shopping cart in the retailer’s mobile app. “Customers have a much better experience, and the stores saw ROI right away,” Kilby says.

BlueStar and Direct Source then helped the retailer acquire new, Intel-powered computing solutions, speeding service at self-checkout lanes and point-of-sale systems. They implemented a new barcode scanner that does double duty at gift registry kiosks, recording prices while marking the items as purchased on recipients’ gift lists.

These technology investments have improved customer traffic and sales, but the retailer isn’t done yet. Like other stores, it will continue to rely on Direct Source and BlueStar to keep up with fast-changing trends.

“Working together, we will continue to be a store of technology for the retail and hospitality industries, helping customers fill in gaps as new needs arise,” Byington says.


About BlueStar

BlueStar is the leading global distributor of solutions-based Digital Identification, Mobility, Point-of-Sale, RFID, IoT, AI, AR, M2M, Digital Signage, Networking, Blockchain, and Security technology solutions. BlueStar works exclusively with Value-Added Resellers (VARs) to provide complete solutions, custom configuration offerings, business development, and marketing support. The company brings unequaled expertise to the market, offers award-winning technical support, and is an authorized service center for a growing number of manufacturers. BlueStar is the exclusive distributor for the In-a-Box® Solutions Series, delivering hardware, software, and critical accessories all in one bundle with technology solutions across all verticals, as well as BlueStar’s Hybrid SaaS finance program to provide OPEX/subscription services for hardware, software, and service bundles. For more information, please contact BlueStar at 1-800-354-9776 or visit www.bluestarinc.com.