After covering locations in platforms, use case is being run from there. We can categorize in the following. So here is the long list that I'm not going to go through, but rather summarize it. There will be those that are focusing on consumer, customers. There will be those that are extension of the usual com services, now like distributed NFE running [INAUDIBLE] locations. And then they will have typically very incremental services for enterprise and government customers. All that can also be done on platform foundation, exposing some of the platform capabilities instead of building all these as a separate vertically integrated applications. So for example, [INAUDIBLE] analytics capabilities would be nice to expose auto platform and then consume for different vertically focused use cases. Here is a list of those that we were involved in, working directly with communications service providers, experimenting with that, and trying to see what is the right, the best optimized platform in hardware and software, what ecosystem can actually monetize these type of services. So a couple of examples in more details. So for consumer, there is a lot of focus on gaining virtual reality, augmented reality usages. And here are examples with different latencies as major value provided to gamers, for example also being improved when we get to the 5G connectivity in number of milliseconds for Edge gaming, for virtual reality, augmented reality. E-sports is being focused for a number of communications service providers, sponsoring some of the teams, also for branding reasons. So there is quite a lot of focus on these type of usages within the consumer category of use cases. Targeting different verticals come appropriate use cases, so number of communications service providers already for years sponsoring various sports facilities and venues. Here is-- here are a couple of examples how to make them smarter for revenue maximization, for operational efficiency or simply for sport fan better experience. It can start with basic finding the ways and can go up to instant replay of multiple angle cameras, images and all sorts of different things other related use cases. In this case, needs to be normally built, special connectivity environments, and run from the local data centers because of the massive usage of data that is generated and consumed over there. An example of that, which is going on as a proof of concept of Alibaba is a combination of facial recognition, video analytics, surveillance, and the usage of 5G technologies, where we have, for example, for access control, the facial recognition and controlling the badges. And then from the other side, we have a video analytics for various surveillance reasons. And all this is happening in one virtualized server as a network in a box running on the Edge next to the facility, where this is happening. More comprehensive sometimes and more integration requiring use cases are in industrial control. So these are the use cases where in remote manufacturing sites or construction sites, like examples here, using license spectrum, the communications service providers would provide radio access networks locally. And for example, here, it's appropriate throughput form uplink and down link. And latencies is an example of how this type of heavy machinery can be controlled. And this way, it allows, for example, in mining industry an additional, I mean, in other similar cases, very cost effective remote control of these type of machinery. Even further, more complex use cases with very focused industry alliances between the automotive and communications service providers, we have different use cases for automated driving, for controlling how different cars are driving together in some kind of sequence, smarter way of controlling the traffic, downloading all the different over the air software and high definition maps, helping with finding the simple parking spaces, uploading all the collected sensor data that was accumulated during the drives. And this is rather many different combinations of technologies and use cases in rather complex use cases that's combined the communication service provider, the automotive, sometimes the cities that are controlling all this type of traffic and a set specific standardization efforts are happening in the right communities around that. To implement these type of wide variety of use cases, there is a lot of ecosystem partnerships required. So this will include specific companies that are serving the enterprise and government verticals, so software vendors and system integrators take advantage of value of communication service provider Edge locations, but then integrating it for appropriate verticals, pure play system integrators that know about coms and those verticals can really add incremental value big time here. And then the service providers that are controlling, and software defining all those networking and coms functionalities. We have traditional telecommunication equipment manufacturers that can extend NFE distributed locations and really providing those virtualized network functions there. And then we have other, let's say, hardware vendors that can use those building blocks in hardware and the low level software and combine them in the right platforms that their cost optimized for the different usages on premise, on the Edge. And then this is being standardized because there is a lot of interoperability required. And here is some examples of places where it is being standardized, so ETSI multi-axis Edge computing, but then all the other communities they have because of huge importance and focus of the Edge location and services, they have their own within their domain of expertise, focus on what they can contribute towards the Edge cases. So there is on that page, there is OPNFV Edge, open stack Edge, and so on.
