 Hello. Thanks for joining for this talk about Project Albarium. So this is a topic that I think is super important as we increasingly see connected systems out there and what they're serving from IOT or the automation of data through AI and 5G, just a lot of the trends that are having to converge right now. So kind of give you an overview of the project and I'll stay in advance. Definitely go and check out the demo at the Virtual Expo. We've got a couple of different demos within that forum. So I'll start with a little bit of background. For me, I've been working in Linux Foundation for quite a while, initially with Edge X Foundry, and then I helped bootstrap LF Edge. I'm now the governing board chair for LF Edge. I'm working on IOT and Edge computing for quite some time. VP of ecosystem at Zedita today. Previously I was the IOT and Edge CTO at Dell Technologies. My motto is, if it's fuzzy, I'm on it. You know, I play music. Obviously, this is my studio here in Austin slash office. At the same time, I joke that in Austin they just give all that stuff to you when you move here because it's a big music town. So, you know, that's a little bit about me. So where we're seeing things headed, you know, IOT drove a lot more data on networks. We're still seeing, you know, that trend emerge. Edge computing is a big topic right now because we have so much data on networks. There's so much data you can't possibly pump it out of the cloud. So we're seeing this notion of the pendulum kind of swinging back towards Edge. It doesn't mean the cloud's going away. In fact, it's going to continue to grow. It's this symbiotic relationship between Edge and cloud. The reasons include latency and bandwidth savings, autonomy, security, privacy, abstract personal information as close to the source as possible. And as these things emerge and kind of continue to grow, the ultimate potential is interconnecting different ecosystems across public and private entities and the consumer and manufacturing and retail and energy and whatnot. And for that to happen at scale, it's really important to build confidence into the data itself. And so a variant is focused on this notion of trust fabrics. You know, I've said for a while, fixed is the new mobile. We're going to see more and more compute everywhere, which is the ambient compute computing concept. You know, so as I mentioned, the ultimate potential is that all of these different forums or kind of venues of consumer experiences and enterprises are all interconnected over time. And, you know, how do you cross over between these? Of course, we've seen retailer crossover into the home through like an Amazon, but there's a lot of other retailers out there. We've seen smart cities evolving, but then there's that kind of balance of privacy with citizens and the services that are offered from those cities. So long story short, it's how do you go drive new business models and experiences from interconnecting all these different environments? There's a data monetization study. So when I was at Dell, we did this with Futurum, an analyst firm, and we did a data monetization story. Of course, you know, it's not just about data monetization, but it's a big trend. And it was interesting because we found initially I thought it was going to be all like chief marketing officer or digital officer, but it's actually predominantly, of course, CEO, but predominantly the CIO. And, you know, they're concerned about that underlying technology stack. This was about 500 companies of different sizes that we'd interviewed. And 70% said they're monetizing data today, but it's definitely a C-suite conversation. Interestingly, we asked how are you going to monetize your data? And it was like almost perfect order of relinquishing control or putting trust into, you know, other folks in a broader environment. So, number one was, you know, the big blue on the top right. I'm not going to sell my data. I'm going to leverage that data to improve my goods and services and whatnot. Well, I'll license it. I'll offer a subscription, you know, do like for like data exchange. And eventually it gets to this notion of data marketplaces, that smaller, orange, slippery up top. And that's, those are growing. And that's where we see the ultimate potential where I can just kind of send my data out into the ether and start collecting checks from strangers. But for that to happen, you'll have to attach confidence to that data and it has to be trusted as it flows across different networks. And so a lot of these barriers are very related to, you know, security of course, compliance, privacy. What do people think about this notion of, you know, data, their data being used. A lot of people today don't even understand how much their data is being used already, but you know, even better as if you can have a mechanism where you take control over where you lie on the privacy versus value equation. Value received, you'll usually give up a little privacy if it makes sense. But you're in control, and then, you know, you kind of decide from there where you, where you go. You know, just, these are all the kind of focus areas for project alvarium is addressing these types of blockers. So there's multiple reasons that trust is essential as we scale out different technologies. Number one, it's this notion of interconnecting ecosystems driving new business models. Number two, it's, it's, you know, how do I maintain privacy? How do I, you know, challenging coming as this notion of fake data generated by AI at massive scale? You know, so you have to combat AI with AI and you need to build trust into that data. And GDPR is a big challenge, you know, other compliance requirements are popping up and, you know, if you know, like GDPR the right to be forgotten. You basically say, Hey, I want my privacy back, you know, I want my data back. And the companies that had collected this data and we're using it for whatever reason, have to go find it everywhere and, you know, delete it basically and this notion of trust fabrics we think that this becomes more automated over time. Another thing that's interesting when you talk about edge computing is that workloads tend to in the cloud you kind of out of sight out of mind you might not really think about where they're running and sometimes you of course want to have a private cloud. But at the edge when people can see the infrastructure and you have different groups that are whether it's inside or outside your organization, you know that logically you want to share infrastructure but then there's this perception of your data getting cordoned off to other new people in your IP getting lost or whatnot, and into building trust and how different applications or workloads run on common infrastructure is key, especially at the edge because of that psychology aspect. And so to do this the way you make it trust work across this heterogeneous ecosystem different networks different environments and businesses and consumers is you make it to where nobody owns the trust. Typically, you know, you know consumer you build trust with certain entities, and as long as you trust them, whether it's a Google or Amazon or an Apple or whatever, you tend to give up a little privacy but to get to that interconnected ecosystem. So vision, you can't have it to where one company, you know owns that that trust and the broader scheme of things. So, the other thing is people are like oh well just put blockchain on blockchain will solve the problem but the reality is that blockchain tells you where data is been with smart contracts but it doesn't necessarily tell you that data is trusted. And so what we're talking about here as a system level approach to trust where you combine starting and silicon the root of trust to that hardware, you know open API is trusted operating systems, a confidential computing so you're processing data even encrypted in a solution so that at all times data is data is encrypted, you know meetable storage you can't tamper with the data the hash values will match distributed ledger of course is a component but it's this layering of trust insertion technologies that make it more holistic in nature and then of course you span different environment. So, alvarium is, you know, open project, you know, that we're spinning up within LF edge, you know this notion of layerings of trust insertion technologies we're working on building a reference architecture that brings in various components, both within LF edge and you know Linux foundation and externally as well this isn't about reinventing the trust insertion technologies think of alvarium as a framework that binds together these loosely coupled technologies into a an overall system that drives data confidence. And so, as mentioned this project emerging, we're not not reinventing Dell technologies I'd actually led the incubation at Dell will work closely with iota foundation also with with Intel and a variety of other companies and a number of companies are coming in as well like arm and it's just a broad community of folks from silicon that you think this is a really important trend. As I said we're creating the API is this open framework there's an SDK associated with it, and then the scoring is the key so as data flows through you get say points for every trust insertion technology that that data passes through and so that that scoring of confidence as data flows through provides that boundary condition is as you flow through your trust fabric and someone else's that you can decide is that worth having that exchange, you know whether it's monetizing data or driving some sort of new service or otherwise. That confidence gives you the ability to act on it, you know maybe I only need 80% confidence and data if I'm doing something non critical but if I'm doing something in a nuclear power plant I'm going to want like 100% confidence and you again this is about collaborating with other industry efforts. There's a video at alvarium.org that you know I would recommend checking out won't go through the whole video but it's about four minutes. The key here is is everything's interconnected in the end and you know alvarium is actually Latin for beehive and that's why these are all hexagons and you know kind of these interconnected bees work together in a community. The whole idea here is that trust fabrics start to intersect each other what in these all these different environments, public and private. And at that boundary condition is where that confidence for engagement based on policies you set on on your privacy versus value that you want to receive. You can act on that without having a person in the middle of it to make that exchange. And we built this this video you know it talks about smart homes of course you again that was smart city, and this notion of as it spans out into the broader scenario crossing between these different environments is we think that there's this opportunity for service providers for service providers, you know think of yourself, you know if you're a telco operator you, you could broker trusted data across all these different forums, and you know because you've disaggregated the data you can actually monetize your infrastructure without trying to own the data, and having single owners of data that broker for everybody. It doesn't really work at scale. You can't have a few companies own that long term it's like having one company that owns the internet. So this notion of brokering trusted data across different environments, you with this fabric concept is a key element of this this effort. So the video goes through like how you know these these work I mean they're certainly reference examples this UI was we built just to help kind of make the concept tangible. But anyway, it goes through a variety of things that definitely recommend, you know checking that out. I mentioned the different types of trust insertion technologies, spanning, you know, the devices themselves up through the software stacks at core infrastructure and then eventually getting into a ledger and you know it's important to insert this trust as close to the source as possible. And that's also why we think this project, you know what we thought it was important to have it be part of LF edge given the focus of that community. You know as you go from maybe an edge gateway to an edge server and eventually get to the cloud as as these different trusts and searching technologies stack on top of each other you're increasing the confidence as it flows through this is a fairly simple example it's going to be more involved than than shown here but it just gives you kind of this flow of increasing trust built through networks. A common question is doesn't this put a lot of tax on on the hardware. Of course we're seeing more and more capable compute coming in by the day, you know co processing. So there's there's that capability if you can add value to data because it's you have confidence in that you can also justify that the expense on compute. But then you also don't have to do calculations at every point along the way it could be at the boundary of your organization so there's various different things that will be working through as a community. But I would have got involved it's not that this is about one ledger technology by a by iota we got involved early on, very very efficient algorithms for ledger their tangle technology. And so we've done prototypes of how you register the data coming out of those annotations for confidence onto the ledger using the tangle. So if you go over to the demo area in the expo you'll see some early examples of how data is annotated and also how things are registered on on the ledger. And of course we'll be growing it from there as part of the community. As I mentioned this isn't about reinventing things there's a lot of good efforts great efforts focused on trust trust and data. And the other part of that with alvarium is that system level approach, you know the fact that it's, it's down the silicon, you know it's these layerings of technologies close to when data is generated. And then these other efforts tend to be focused more on how you share data, you know through smart contracts and what is the semantics around that sharing, you know, broader speaking so so these types of efforts are very complimentary to all very people who are working out and chatting with some different folks and certainly welcome collaboration as part of the alvarium community how do we kind of stitch all this stuff together in a broader system level sense. So yeah I'll close by saying I mean we think this is a really exciting project we certainly welcome you to get involved. There's been a lot more about the project at alvarium.org. As I mentioned, check out the OAS demo in the virtual expo and you'll see there's a short presentation on just somewhere to you kind of a shorter version of what I did here today, then also the demos. You know whether you want to learn about or do you want to get involved as we spin it up as an official project within the community. We certainly welcome it and look forward to. Working together on this important topic for where things are headed, you know longer term so hope you enjoy the rest of the summit and again thanks for having me.