>> Hello, my name is Peter Moser. I'm a chief technologist and IoT and AI strategist for HPE. And with me today is John Carter. He's the director of the ProLiant Product Management family. And we are going to talk to you about how we can take your business to the next level using the intelligent edge. So what is the edge? Why should you care? Well, when you look at IDC and Gartner's and others they're reporting that over 55 billion nest with the B devices will be deployed by 2022. That's not too far down the road from now and these devices are all going to be creating data. Well, most businesses also has been reported using less than 6% of all available data. So what all this is going to do is compound that challenge. Then you look at another data point, where over 50% of all new data is going to be created at the edge, indeed be processed at the edge. So when you have things like sensors and video cameras, all creating data, the need to deal with that data as close to where it's being created, as possible, is the most economic way of dealing with that data. But most importantly, it's also necessary from a timing standpoint that you'll get value from that data as quickly as you can, in many cases and the best way to do that is processing the data where it's being created. So let's take a look at what the intelligent edge looks like. Think about the connectivity that's necessary to connect these new video cameras, these new sensors and other types of devices you're going to be creating its data. That connectivity has to be secure and it has to be intelligent. Why does it have to be intelligent? Cause you want to be able to authenticate anything that wants to connect to that network fabric before it's allowed to do anything at all. So that means you going to have to have a high degree of intelligence like machine learning, for instance, to really understand what that is that device is trying to connect to your network and what kind of credentials that device should have. Then once you do that, then you need to have the necessary processing capabilities to then to be able to ingest that data, analyze that data and to create the necessary action to be able to act on that data. So not only do you have to have that pervasive connectivity via wireless or wired connectivity but also you have to have that data center class compute that enables you to adjust this massive amount of data and then to be able to create the insight necessary to act on that data and do so in a secure manner. So what does edge computing look like? Well, for many businesses, they need to make a decision and have that insight within milliseconds because milliseconds do matter. Say for instance, you're running a process where you're manufacturing an item. When you're going through say quality control, you want to be able to detect a defect in a microsecond so or little seconds to be able to know do I need to shut down the plant to enable me or to shut down that production run to enable me to then determine what caused that defect before I create too much of defective products and have all that waste or in worst case scenario, that product goes out of the door and you end up with a massive recall which can damage your brand. But then think about autonomous operations. What COVID has showed us is that businesses need a higher degree of resiliency because when your workers can't come to work, then what do you do? You get more and more businesses relying on automation to allow them to keep their plant operations functioning and enabling their workers to work remotely to be able to monitor and to control operations. Of course, security and compliance underlines all of this. Everything has to be secure to make sure that your edge environment stays secure not only from a connectivity standpoint but to make sure that no bad actors get on your network cause a lot of people have a false sense of security thinking that because it's behind the corporate firewall, they're okay. That's simply not true cause over 40% of all cyber attacks occur through phishing events. That means they steal legitimate credentials from employees and use those to access the network to see if you have to have other forms of or ways of identifying these types of attacks and then identifying and isolating them and containing them. And that's where having intelligence built into the network is so important. But with many customers that they may do a project that use case, if you will, the edge they have a challenge with scaling. And that is where it's important to have an architectural design in the right edge-based solution that enables you to now have a successful pilot. But to be able to scale that into a full production solution and one that can be replicated across all your sites. Because at the edge you have a combination of compute, storage and networking, which are all integral in creating a solution necessary to drive your business. But these solutions have to be managed because typically at the edge, we don't have the resources like we do in the data center. And so we rely on having data center class management capabilities but at the edge, it allows remote resources to manage that compute, storage, networking assets there at the edge. But additionally should customers want to consume an edge-based service, HPE offers consumption-based services that allow you to manage those resources remotely but then have a dashboard that enables you to have that transparency to share the state of all those assets with your different stakeholders. And so you see here a fusion between the edge and the cloud because they're not really mutually exclusive like some people think. The edge and the cloud do work together but what we're finding is, the edge has to have a higher degree of resiliency and independence because if you think about it, many businesses today in especially remote locations, don't have the same connectivity options that a business in a big city might have. They have lot of low bandwidth circuits for instance and some of these circuits aren't very reliable. So businesses need to have the capability of running their operations independent of any kind of connectivity to a data center or the cloud. That's what's key about the intelligent edge. But when that connectivity is there, they want the ability to have remote access to those edge resources and the ability to monitor their state, to be able to resume operations with remote capabilities. Okay, now let's look at some customer examples where the intelligent edge is helping drive real business value. HPE has a manufacturing customer that makes hard drives and for them quality is paramount because their customers store their data on their hard drives. So this customer needed the ability using computer vision or in other words a video camera looking through electron microscope to be able to scan away from the hard drive and make a determination in less than 10 milliseconds, is there a defect on this wafer? And the action was to stop the process, determine what caused the defect, remedy the problem before they produce too many drives and then have a substantial amount of waste, or in worst case scenario actually ship the drives and have a recall. So HPE was able to put an intelligent edge solution in place that allowed them to scan for defects and then be able to act upon any identified defects in less than nine milliseconds. We also had a very large retailer where the challenge is with self checkout is shrinkage or many cases also known as theft. For these customers, they need to be able to use computer vision to be able to scan and clearly detect at checkout what the customer was doing. Did it have an actual problem with the checkout process or were they trying to undermine and circumvent the checkout process and hide the scanning of the actual barcode. This required again less than 10 millisecond response time to be able to make the determination, what the customer is doing, do they have a real problem or are they circumventing the barcode process and then to be able to act upon that. HPE was able to put an in-store solution that allowed them to capture video from all the different checkout stands and to give them those insights in the timeframe that they needed. We also had a very large customer that has a supply chain optimization challenge that wanted the ability to be able to map the demand signal when they had an order to the supply chain to know could they deliver or meet that order requirement by the date that the customer specified based on the status of their supply chain. So one of the things that COVID has pointed out is that there's a lot of supply chain disruptions because depending on where the supply is coming from or in particular if it has to be shipped from overseas, there could be disruptions and the availability of that supply and HPE was was able to help our customers create an intelligent edge solution that enabled them to be able to better map the demand signal with available supply. Then with healthcare, with COVID, many of our customers' healthcare providers had to change the way they delivered healthcare and what they needed to do was change the way that they did what we call distance healthcare, where they were able to use edge-based technology to then deliver healthcare to their customers or their patients remotely. And HPE was able to put together a solution that enabled them. It's a virtual desktop solution that enabled them to use their devices from their homes to be able to deliver care to their patients. Then lastly, well the things that COVID has also brought to the forefront is the ability for businesses to enable their employees to be able to run their operations remotely from home. Again, this is where the need to provide data center class management capabilities at the edge were critical because they couldn't have employees go into the plants because of COVID restrictions. So the IT staff had to work from home and then manage the edge devices remotely and they had to have the right tools to enable them to do that. So what I'd like to do is hand the conversation over to John to talk about the the HPE assets that enable these types of use cases. So John, do you want to share a little bit about the HPE portfolio? >> Thanks, Peter. What I really appreciated about what you talked about was the idea that no edge use case is quite the same. With that in mind, HPE has developed a portfolio of technologies to really optimize around those different use cases, whether it's one of those AI and inferencing workloads, like you were talking about, where you might use one of our great AMD platforms like the DL385 or 365, or maybe it's more of a traditional data center workload that you've extended out or dis-aggregated onto the edge. There you might consider one of our time tested workhorses like the ProLiant DL360 or 380. And we've even got new products for emerging workloads like on Telco on their edge where we've designed the brand new DL110 for virtualized RAN environments, specifically meeting some of those Telco needs around acceleration and data movement. Finally, some of the examples you talked about really around the manufacturing floor, or other specialized environments where you might have different ambient temperature requirements or other things. This is where HPE edge line really shines. So as you can see here, we've got a lot of different options for you in regards to how you right-size the type of resources for your particular workload. On the left side, you'll see our 1U,1P; very small form factor DL325, really great where you need fewer processing resources but a lot of other high performance access to NVMe or accelerators. Think of things like VDI. When you're tying to put a lot of users into a smaller space, you can move up to one of our devices that offers larger storage footprints. Look at the DL345 or the DL385, both really designed to maximize access to things like NVMe or acceleration while giving you the right balance between process or another resource. Or you can choose to use one of our time-tested answers like the DL360 and 380. These are two of the world's best selling servers and they've been used in environments and applications all over the map. Anything you can think, of these servers have been implemented for. So you can trust that they've been tested, that they've been used and that we've really spent the time optimizing exactly how those servers work for you. And then as mentioned before, we look to continue offering new servers that will help to really bring the exact kind of workload resources needed for new environments as well, specifically the Telco edge. >> Thank you John. For many of our customers, they don't have the resources or the expertise to get started with the intelligent edge. So it's important that they find a partner that has not only the expertise but the partner ecosystem which is critical to help them on their journey. And so what HPE focuses on is bringing the right partners to bear for our customers to help first understand what's the customer trying to accomplish? What's important to them? And focusing on solutions that are going to deliver the business value that the customer expects and then to put together a pilot that's going to not only show the customer the solution that's going to deliver the value that they expect but a pilot platform that can scale is one of the things with the examples I shared earlier, once the customer finish those pilots, they're ready to scale this across all the organization. It was critical for them to have a solution that would scale with their size and these are large companies. So they have multiple sites in some cases, thousands of site, so it's critical. That's a solution scale. So HPE Pointnext Services has that expertise. They have those relationships with the partners to come in, understand what you're trying to accomplish, understand your existing environment which is critical, cause we want to leverage as much of the customer's existing investment as possible but then to bring in the additional capabilities that are necessary to deliver the outcome that the customer wants but to make sure that it is secure. And it all starts with HPE Silicon Root of Trust where it begins with the build process where we make sure that our compute assets are secure all through the build process, there are Silicon Root of Trust even in delivery when the assets powered down, we have tamper-proof capabilities to determine if that asset's been tampered with in transit and then most importantly once it's put into production to make sure that the device stays secure once it's beaded up. Then again to bear for our customers' solutions that solve their business problems; running on the industry's best technology but to give the customer the option of either procuring it or consuming it as a service. Many customers don't know where to get started. We can help you with that as well. First is they want to know how can I improve my decision making process? How can I improve the efficiency of my operations? And for many of our customers, that's doing it locally. Cause all of our customers have a cloud strategy, a hybrid cloud strategy and we incorporate that into the solutions that we build for our customers. We help them really focus in zero end on a pilot project that's going to deliver the business value that they expect. Therefore many of our customers, a lot of these projects never make it out of the lab. They test and test and test and then for some of them when they put it into production, it doesn't scale, so they have to start all over again. So it's important that they have a partner that has experience to help them pick the right use case. But the most importantly, put it in the right architecture that can scale. Then we put together a business model. For many of our customers especially because of COVID, they want options. They want to conserve capital. They don't want to spend their capital on buying a solution. They want to consume a service. And HPE GreenLake services offers that where our customers, if they choose, can have HPE not only build the solution, deploy it, but they manage it for the customer and allow the customer use their resources to focus on creating new services for the business. We even offer leases and other options as well. It is important that customers when they architect an edge-based solution that they architect one that is foundational for all their sites. This also helps customers reduce their costs and also reduces the complexity of the solution going forward. So HPE's GreenLake services gives customers the option of consuming services just like the public cloud at the edge with the transparency that the public cloud offers as well by giving customers that full dashboard view of the status of their edge-based infrastructure so that they can report out and provide that transparency to their stakeholders but also to bring in the partner ecosystem that goes with that. The partner ecosystem that allows you to create the platform to find the right solutions that run on those platforms, be an artificial intelligence or IoT or data pipelines, whatever it might be is necessary to drive the use cases that the customer needs to improve their business. But also financial services to give the customer choice on how they want to deploy their solutions, they want to capital acquire it, then want to lease it or do they want to consume it as a service. If you'd like to learn more about the products you've heard about today, here are two links to our ProLiant or edge line servers. So on behalf of John and myself, we want to thank you for your time today and hope you found this information useful. Thank you.