Ben Amor, Palantir, and Sam Michael, NCATS | AWS PS Partner Awards 2021
>>Mhm Hello and welcome to the cubes coverage of AWS amazon web services, Global public Sector partner awards program. I'm john for your host of the cube here we're gonna talk about the best covid solution to great guests. Benham or with healthcare and life sciences lead at palantir Ben welcome to the cube SAm Michaels, Director of automation and compound management and Cats. National Center for advancing translational sciences and Cats. Part of the NIH National sort of health Gentlemen, thank you for coming on and and congratulations on the best covid solution. >>Thank you so much john >>so I gotta, I gotta ask you the best solution is when can I get the vaccine? How fast how long it's gonna last but I really appreciate you guys coming on. I >>hope you're vaccinated. I would say john that's outside of our hands. I would say if you've not got vaccinated, go get vaccinated right now, have someone stab you in the arm, you know, do not wait and and go for it. That's not on us. But you got that >>opportunity that we have that done. I got to get on a plane and all kinds of hoops to jump through. We need a better solution anyway. You guys have a great technical so I wanna I wanna dig in all seriousness aside getting inside. Um you guys have put together a killer solution that really requires a lot of data can let's step back and and talk about first. What was the solution that won the award? You guys have a quick second set the table for what we're talking about. Then we'll start with you. >>So the national covered cohort collaborative is a secure data enclave putting together the HR records from more than 60 different academic medical centers across the country and they're making it available to researchers to, you know, ask many and varied questions to try and understand this disease better. >>See and take us through the challenges here. What was going on? What was the hard problem? I'll see everyone had a situation with Covid where people broke through and cloud as he drove it amazon is part of the awards, but you guys are solving something. What was the problem statement that you guys are going after? What happened? >>I I think the problem statement is essentially that, you know, the nation has the electronic health records, but it's very fragmented, right. You know, it's been is highlighted is there's there's multiple systems around the country, you know, thousands of folks that have E H. R. S. But there is no way from a research perspective to actually have access in any unified location. And so really what we were looking for is how can we essentially provide a centralized location to study electronic health records. But in a Federated sense because we recognize that the data exist in other locations and so we had to figure out for a vast quantity of data, how can we get data from those 60 sites, 60 plus that Ben is referencing from their respective locations and then into one central repository, but also in a common format. Because that's another huge aspect of the technical challenge was there's multiple formats for electronic health records, there's different standards, there's different versions. And how do you actually have all of this data harmonised into something which is usable again for research? >>Just so many things that are jumping in my head right now, I want to unpack one at the time Covid hit the scramble and the imperative for getting answers quickly was huge. So it's a data problem at a massive scale public health impact. Again, we were talking before we came on camera, public health records are dirty, they're not clean. A lot of things are weird. I mean, just just massive amount of weird problems. How did you guys pull together take me through how this gets done? What what happened? Take us through the the steps He just got together and said, let's do this. How does it all happen? >>Yeah, it's a great and so john, I would say so. Part of this started actually several years ago. I explain this when people talk about in three C is that and Cats has actually established what we like to call, We support a program which is called the Clinical translation Science Award program is the largest single grant program in all of NIH. And it constitutes the bulk of the Cats budget. So this is extra metal grants which goes all over the country. And we wanted this group to essentially have a common research environment. So we try to create what we call the secure scientific collaborative platforms. Another example of this is when we call the rare disease clinical research network, which again is a consortium of 20 different sites around the nation. And so really we started working this several years ago that if we want to Build an environment that's collaborative for researchers around the country around the world, the natural place to do that is really with a cloud first strategy and we recognize this as and cats were about 600 people now. But if you look at the size of our actual research community with our grantees were in the thousands. And so from the perspective that we took several years ago was we have to really take a step back. And if we want to have a comprehensive and cohesive package or solution to treat this is really a mid sized business, you know, and so that means we have to treat this as a cloud based enterprise. And so in cats several years ago had really gone on this strategy to bring in different commercial partners, of which one of them is Palin tear. It actually started with our intramural research program and obviously very heavy cloud use with AWS. We use your we use google workspace, essentially use different cloud tools to enable our collaborative researchers. The next step is we also had a project. If we want to have an environment, we have to have access. And this is something that we took early steps on years prior that there is no good building environment if people can't get in the front door. So we invested heavily and create an application which we call our Federated authentication system. We call it unified and cats off. So we call it, you know, for short and and this is the open source in house project that we built it and cats. And we wanted to actually use this for all sorts of implementation, acting as the front door to this collaborative environment being one of them. And then also by by really this this this interest in electronic health records that had existed prior to the Covid pandemic. And so we've done some prior work via mixture of internal investments in grants with collaborative partners to really look at what it would take to harmonize this data at scale. And so like you mentioned, Covid hit it. Hit really hard. Everyone was scrambling for answers. And I think we had a bit of these pieces um, in play. And then that's I think when we turned to ban and the team at volunteer and we said we have these components, we have these pieces what we really need. Something independent that we can stand up quickly to really address some of these problems. One of the biggest one being that data ingestion and the harmonization step. And so I can let Ben really speak to that one. >>Yeah. Ben Library because you're solving a lot of collaboration problems, not just the technical problem but ingestion and harmonization ingestion. Most people can understand is that the data warehousing or in the database know that what that means? Take us through harmonization because not to put a little bit of shade on this, but most people think about, you know, these kinds of research or non profits as a slow moving, you know, standing stuff up sandwich saying it takes time you break it down. By the time you you didn't think things are over. This was agile. So take us through what made it an agile because that's not normal. I mean that's not what you see normally. It's like, hey we'll see you next year. We stand that up. Yeah. At the data center. >>Yeah, I mean so as as Sam described this sort of the question of data on interoperability is a really essential problem for working with this kind of data. And I think, you know, we have data coming from more than 60 different sites and one of the reasons were able to move quickly was because rather than saying oh well you have to provide the data in a certain format, a certain standard. Um and three C. was able to say actually just give us the data how you have it in whatever format is easiest for you and we will take care of that process of actually transforming it into a single standard data model, converting all of the medical vocabularies, doing all of the data quality assessment that's needed to ensure that data is actually ready for research and that was very much a collaborative endeavor. It was run out of a team based at johns Hopkins University, but in collaboration with a broad range of researchers who are all adding their expertise and what we were able to do was to provide the sort of the technical infrastructure for taking the transformation pipelines that are being developed, that the actual logic and the code and developing these very robust kind of centralist templates for that. Um, that could be deployed just like software is deployed, have changed management, have upgrades and downgrades and version control and change logs so that we can roll that out across a large number of sites in a very robust way very quickly. So that's sort of that, that that's one aspect of it. And then there was a bunch of really interesting challenges along the way that again, a very broad collaborative team of researchers worked on and an example of that would be unit harmonization and inference. So really simple things like when a lab result arrives, we talked about data quality, um, you were expected to have a unit right? Like if you're reporting somebody's weight, you probably want to know if it's in kilograms or pounds, but we found that a very significant proportion of the time the unit was actually missing in the HR record. And so unless you can actually get that back, that becomes useless. And so an approach was developed because we had data across 60 or more different sites, you have a large number of lab tests that do have the correct units and you can look at the data distributions and decide how likely is it that this missing unit is actually kilograms or pounds and save a huge portion of these labs. So that's just an example of something that has enabled research to happen that would not otherwise have been able >>just not to dig in and rat hole on that one point. But what time saving do you think that saves? I mean, I can imagine it's on the data cleaning side. That's just a massive time savings just in for Okay. Based on the data sampling, this is kilograms or pounds. >>Exactly. So we're talking there's more than 3.5 billion lab records in this data base now. So if you were trying to do this manually, I mean, it would take, it would take to thousands of years, you know, it just wouldn't be a black, it would >>be a black hole in the dataset, essentially because there's no way it would get done. Ok. Ok. Sam take me through like from a research standpoint, this normalization, harmonization the process. What does that enable for the, for the research and who decides what's the standard format? So, because again, I'm just in my mind thinking how hard this is. And then what was the, what was decided? Was it just on the base records what standards were happening? What's the impact of researchers >>now? It's a great quite well, a couple things I'll say. And Ben has touched on this is the other real core piece of N three C is the community, right? You know, And so I think there's a couple of things you mentioned with this, johN is the way we execute this is, it was very nimble, it was very agile and there's something to be said on that piece from a procurement perspective, the government had many covid authorities that were granted to make very fast decisions to get things procured quickly. And we were able to turn this around with our acquisition shop, which we would otherwise, you know, be dead in the water like you said, wait a year ago through a normal acquisition process, which can take time, but that's only one half the other half. And really, you're touching on this and Ben is touching on this is when he mentions the research as we have this entire courts entire, you know, research community numbering in the thousands from a volunteer perspective. I think it's really fascinating. This is a really a great example to me of this public private partnership between the companies we use, but also the academic participants that are actually make up the community. Um again, who the amount of time they have dedicated on this is just incredible. So, so really, what's also been established with this is core governance. And so, you know, you think from assistance perspective is, you know, the Palin tear this environment, the N three C environment belongs to the government, but the N 33 the entire actually, you know, program, I would say, belongs to the community. We have co governance on this. So who decides really is just a mixture between the folks on End Cats, but not just end cast as folks at End Cats, folks that, you know, and I proper, but also folks and other government agencies, but also the, the academic communities and entire these mixed governance teams that actually set the stage for all of this. And again, you know, who's gonna decide the standard, We decide we're gonna do this in Oman 5.3 point one um is the standard we're going to utilize. And then once the data is there, this is what gets exciting is then they have the different domain teams where they can ask different research questions depending upon what has interest scientifically to them. Um and so really, you know, we viewed this from the government's perspective is how do we build again the secure platform where we can enable the research, but we don't really want to dictate the research. I mean, the one criteria we did put your research has to be covid focused because very clearly in response to covid, so you have to have a Covid focus and then we have data use agreements, data use request. You know, we have entire governance committees that decide is this research in scope, but we don't want to dictate the research types that the domain teams are bringing to the table. >>And I think the National Institutes of Health, you think about just that their mission is to serve the public health. And I think this is a great example of when you enable data to be surfaced and available that you can really allow people to be empowered and not to use the cliche citizen analysts. But in a way this is what the community is doing. You're doing research and allowing people from volunteers to academics to students to just be part of it. That is citizen analysis that you got citizen journalism. You've got citizen and uh, research, you've got a lot of democratization happening here. Is that part of it was a result of >>this? Uh, it's both. It's a great question. I think it's both. And it's it's really by design because again, we want to enable and there's a couple of things that I really, you know, we we clamor with at end cats. I think NIH is going with this direction to is we believe firmly in open science, we believe firmly in open standards and how we can actually enable these standards to promote this open science because it's actually nontrivial. We've had, you know, the citizen scientists actually on the tricky problem from a governance perspective or we have the case where we actually had to have students that wanted access to the environment. Well, we actually had to have someone because, you know, they have to have an institution that they come in with, but we've actually across some of those bridges to actually get students and researchers into this environment very much by design, but also the spirit which was held enabled by the community, which, again, so I think they go they go hand in hand. I planned for >>open science as a huge wave, I'm a big fan, I think that's got a lot of headroom because open source, what that's done to software, the software industry, it's amazing. And I think your Federated idea comes in here and Ben if you guys can just talk through the Federated, because I think that might enable and remove some of the structural blockers that might be out there in terms of, oh, you gotta be affiliate with this or that our friends got to invite you, but then you got privacy access and this Federated ID not an easy thing, it's easy to say. But how do you tie that together? Because you want to enable frictionless ability to come in and contribute same time you want to have some policies around who's in and who's not. >>Yes, totally, I mean so Sam sort of already described the the UNa system which is the authentication system that encounters has developed. And obviously you know from our perspective, you know we integrate with that is using all of the standard kind of authentication protocols and it's very easy to integrate that into the family platform um and make it so that we can authenticate people correctly. But then if you go beyond authentication you also then to actually you need to have the access controls in place to say yes I know who this person is, but now what should they actually be able to see? Um And I think one of the really great things in Free C has done is to be very rigorous about that. They have their governance rules that says you should be using the data for a certain purpose. You must go through a procedure so that the access committee approves that purpose. And then we need to make sure that you're actually doing the work that you said you were going to. And so before you can get your data back out of the system where your results out, you actually have to prove that those results are in line with the original stated purpose and the infrastructure around that and having the access controls and the governance processes, all working together in a seamless way so that it doesn't, as you say, increase the friction on the researcher and they can get access to the data for that appropriate purpose. That was a big component of what we've been building out with them three C. Absolutely. >>And really in line john with what NIH is doing with the research, all service, they call this raz. And I think things that we believe in their standards that were starting to follow and work with them closely. Multifactor authentication because of the point Ben is making and you raised as well, you know, one you need to authenticate, okay. This you are who you say you are. And and we're recognizing that and you're, you know, the author and peace within the authors. E what do you authorized to see? What do you have authorization to? And they go hand in hand and again, non trivial problems. And especially, you know, when we basis typically a lot of what we're using is is we'll do direct integrations with our package. We using commons for Federated access were also even using login dot gov. Um, you know, again because we need to make sure that people had a means, you know, and login dot gov is essentially a runoff right? If they don't have, you know an organization which we have in common or a Federated access to generate a login dot gov account but they still are whole, you know beholden to the multi factor authentication step and then they still have to get the same authorizations because we really do believe access to these environment seamlessly is absolutely critical, you know, who are users are but again not make it restrictive and not make it this this friction filled process. That's very that's very >>different. I mean you think about nontrivial, totally agree with you and if you think about like if you were in a classic enterprise, I thought about an I. T. Problem like bring your own device to work and that's basically what the whole world does these days. So like you're thinking about access, you don't know who's coming in, you don't know where they're coming in from, um when the churn is so high, you don't know, I mean all this is happening, right? So you have to be prepared two Provisions and provide resource to a very lightweight access edge. >>That's right. And that's why it gets back to what we mentioned is we were taking a step back and thinking about this problem, you know, an M three C became the use case was this is an enterprise I. T. Problem. Right. You know, we have users from around the world that want to access this environment and again we try to hit a really difficult mark, which is secure but collaborative, Right? That's that's not easy, you know? But but again, the only place this environment could take place isn't a cloud based environment, right? Let's be real. You know, 10 years ago. Forget it. You know, Again, maybe it would have been difficult, but now it's just incredible how much they advanced that these real virtual research organizations can start to exist and they become the real partnerships. >>Well, I want to Well, that's a great point. I want to highlight and call out because I've done a lot of these interviews with awards programs over the years and certainly in public sector and open source over many, many years. One of the things open source allows us the code re use and also when you start getting in these situations where, okay, you have a crisis covid other things happen, nonprofits go, that's the same thing. They, they lose their funding and all the code disappears. Saying with these covid when it becomes over, you don't want to lose the momentum. So this whole idea of re use this platform is aged deplatforming of and re factoring if you will, these are two concepts with a cloud enables SAM, I'd love to get your thoughts on this because it doesn't go away when Covid's >>over, research still >>continues. So this whole idea of re platform NG and then re factoring is very much a new concept versus the old days of okay, projects over, move on to the next one. >>No, you're absolutely right. And I think what first drove us is we're taking a step back and and cats, you know, how do we ensure that sustainability? Right, Because my background is actually engineering. So I think about, you know, you want to build things to last and what you just described, johN is that, you know, that, that funding, it peaks, it goes up and then it wanes away and it goes and what you're left with essentially is nothing, you know, it's okay you did this investment in a body of work and it goes away. And really, I think what we're really building are these sustainable platforms that we will actually grow and evolve based upon the research needs over time. And I think that was really a huge investment that both, you know, again and and Cats is made. But NIH is going in a very similar direction. There's a substantial investment, um, you know, made in these, these these these really impressive environments. How do we make sure the sustainable for the long term? You know, again, we just went through this with Covid, but what's gonna come next? You know, one of the research questions that we need to answer, but also open source is an incredibly important piece of this. I think Ben can speak this in a second, all the harmonization work, all that effort, you know, essentially this massive, complex GTL process Is in the N three Seagate hub. So we believe, you know, completely and the open source model a little bit of a flavor on it too though, because, you know, again, back to the sustainability, john, I believe, you know, there's a room for this, this marriage between commercial platforms and open source software and we need both. You know, as we're strong proponents of N cats are both, but especially with sustainability, especially I think Enterprise I. T. You know, you have to have professional grade products that was part of, I would say an experiment we ran out and cast our thought was we can fund academic groups and we can have them do open source projects and you'll get some decent results. But I think the nature of it and the nature of these environments become so complex. The experiment we're taking is we're going to provide commercial grade tools For the academic community and the researchers and let them use them and see how they can be enabled and actually focus on research questions. And I think, you know, N3C, which we've been very successful with that model while still really adhering to the open source spirit and >>principles as an amazing story, congratulated, you know what? That's so awesome because that's the future. And I think you're onto something huge. Great point, Ben, you want to chime in on this whole sustainability because the public private partnership idea is the now the new model innovation formula is about open and collaborative. What's your thoughts? >>Absolutely. And I mean, we uh, volunteer have been huge proponents of reproducibility and openness, um in analyses and in science. And so everything done within the family platform is done in open source languages like python and R. And sequel, um and is exposed via open A. P. I. S and through get repository. So that as SaM says, we've we've pushed all of that E. T. L. Code that was developed within the platform out to the cats get hub. Um and the analysis code itself being written in those various different languages can also sort of easily be pulled out um and made available for other researchers in the future. And I think what we've also seen is that within the data enclave there's been an enormous amount of re use across the different research projects. And so actually having that security in place and making it secure so that people can actually start to share with each other securely as well. And and and be very clear that although I'm sharing this, it's still within the range of the government's requirements has meant that the, the research has really been accelerated because people have been able to build and stand on the shoulders of what earlier projects have done. >>Okay. Ben. Great stuff. 1000 researchers. Open source code and get a job. Where do I sign up? I want to get involved. This is amazing. Like it sounds like a great party. >>We'll send you a link if you do a search on on N three C, you know, do do a search on that and you'll actually will come up with a website hosted by the academic side and I'll show you all the information of how you can actually connect and john you're welcome to come in. Billion by all means >>billions of rows of data being solved. Great tech he's working on again. This is a great example of large scale the modern era of solving problems is here. It's out in the open, Open Science. Sam. Congratulations on your great success. Ben Award winners. You guys doing a great job. Great story. Thanks for sharing here with us in the queue. Appreciate it. >>Thank you, john. >>Thanks for having us. >>Okay. It is. Global public sector partner rewards best Covid solution palantir and and cats. Great solution. Great story. I'm john Kerry with the cube. Thanks for watching. Mm mm. >>Mhm
SUMMARY :
thank you for coming on and and congratulations on the best covid solution. so I gotta, I gotta ask you the best solution is when can I get the vaccine? go get vaccinated right now, have someone stab you in the arm, you know, do not wait and and go for it. Um you guys have put together a killer solution that really requires a lot of data can let's step you know, ask many and varied questions to try and understand this disease better. What was the problem statement that you guys are going after? I I think the problem statement is essentially that, you know, the nation has the electronic health How did you guys pull together take me through how this gets done? or solution to treat this is really a mid sized business, you know, and so that means we have to treat this as a I mean that's not what you see normally. do have the correct units and you can look at the data distributions and decide how likely do you think that saves? it would take, it would take to thousands of years, you know, it just wouldn't be a black, Was it just on the base records what standards were happening? And again, you know, who's gonna decide the standard, We decide we're gonna do this in Oman 5.3 And I think this is a great example of when you enable data to be surfaced again, we want to enable and there's a couple of things that I really, you know, we we clamor with at end ability to come in and contribute same time you want to have some policies around who's in and And so before you can get your data back out of the system where your results out, And especially, you know, when we basis typically I mean you think about nontrivial, totally agree with you and if you think about like if you were in a classic enterprise, you know, an M three C became the use case was this is an enterprise I. T. Problem. One of the things open source allows us the code re use and also when you start getting in these So this whole idea of re platform NG and then re factoring is very much a new concept And I think, you know, N3C, which we've been very successful with that model while still really adhering to Great point, Ben, you want to chime in on this whole sustainability because the And I think what we've also seen is that within the data enclave there's I want to get involved. will come up with a website hosted by the academic side and I'll show you all the information of how you can actually connect and It's out in the open, Open Science. I'm john Kerry with the cube.
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Power Panel | Commvault FutureReady
>>from around the globe. It's the Cube with digital coverage of CONMEBOL. Future ready 2020. Brought to you by combo. >>Hi and welcome back. I'm Stew Minuteman, and we're at the Cube's coverage of Con Volt Future Ready. You've got the power panel to really dig in on the product announcements that happened at the event today. Joining me? We have three guests. First of all, we have Brenda Rajagopalan. He's the vice president of products. Sitting next to him is Don Foster, vice president of Storage Solutions. And in the far piece of the panel Mersereau, vice president of Global Channels and Alliances. All three of them with Conn Volt. Gentlemen, thanks all three of you for joining us. Exactly. All right, so first of all, great job on the launch. You know, these days with a virtual event doing, you know, the announcements, the engagement with the press and analyst, you know, having demos, customer discussions. It's a challenge to put all those together. And it has been, you know, engaging in interesting watch today. So we're going to start with you. You've been quite busy today explaining all the pieces, so just at a very high level if you put this really looks like the culmination of the update with Conn Volt portfolio new team new products compared to kind of a year, year and 1/2 ago. So just if you could start us off with kind of the high points, >>thank you still, yeah, absolutely exciting day for us today. You did comrade multiple reasons for that excitement and go through that we announced an exciting new portfolio today knows to not the culmination. It's a continuation off our journey, a bunch of new products that we launched today Hyper scaler X as a new integrated data protection appliance. We've also announced new offerings in data protection, backup and recovery, disaster recovery and complete data protection and lots of exciting updates for Hedwig and a couple of weeks like we introduced updates for metallic. So, yes, it's been a really exciting pain. Also, today happens to be the data, and we got to know that we are the leader in Gartner Magic Quadrant for the ninth consecutive. I am so a lot of goodness today for us. >>Excellent. Lots of areas that we definitely want to dig deep in to the pieces done. You know, we just heard a little bit about Hedvig was an acquisition a year ago that everybody's kind of looking at and saying Okay, you know, will this make them compete against some of their traditional partners? How we get integrated in So, baby, just give us one level deeper on the Hedvig piece on what that means to the portfolio? Yeah, sure, So I >>guess I mean, one of the key things that the random mentioned was the fact that had hyper scale that's is built off the head Day files. So that's a huge milestone for us. As we teased out maybe 10 months ago. Remember, Tomball, Go on the Cube and talking about, you know, kind of what our vision and strategy was of unifying data and storage management. Those hyper hyper scale X applying is a definite milestone improving out that direction. But beyond just the hyper scale ECs, we've also been driving on some of the more primary or modern workloads such as containers and the really interesting stuff we've come out with your recently is the kubernetes native integration that ties in all of the advanced component of the head to distribute storage architecture on the platform itself across multi cloud and on premise environments, making it really easy and policy driven. Um, for Dev, ops users and infrastructure users, the tie ins applications from a group, Friction >>Great and Mercer. There's some updates to the partner program and help us understand how all of these product updates they're gonna affect the kind of the partnerships and alliances beasts that you want. >>Absolutely. So in the time since our last meeting that go in the fall, which is actually right after I had just doing combo, we spent a good portion of the following six months really talking with partners, understanding the understand the impact of the partner program that we introduced last summer, looking at the data and really looking at barriers to evolve the program, which fell around three difference specific. Once you bet one was simplicity of the simplicity of the program, simplicity of understanding, rewards, levers and so forth. The second was paying for value was really helping, helping our partners to be profitable around things like deal registration on other benefits and then third was around co investment. So making sure that we get the right members in place to support our partners and investing in practices. Another training, another enablement around combo and we launched in over these things last week is a part of an evolution of that program. Today is a great follow on because in addition to all of the program evolutions that we we launched last week now we have an opportunity with our partners to have many more opportunities or kind of a thin into the wedge to open up new discussions with our customers now around all of these different use cases and capabilities. So back to that simplification angle, really driving more and more opportunities for those partners toe specific conversations around use cases. >>Okay, for this next question, I think it makes sense for you to start. Maybe maybe Don, you can get some commentary in two. But when he's firstly the announcements, there are some new products in the piece that you discuss but trying to understand, you know, when you position it, you know, do you call the portfolio? Is it a platform? You know, if I'm an existing Conn Volt customer, you know, how do I approach this? If I use something like metallic, how does that interplay with some of the new pieces that were discussed today. >>Sure, I can take the business. I'm sure Don and mostly will have more data to it. The simplest way to think about it is as a port for you. But contrary to how you would think about portfolio as independent products, what we have is a set off data management services granular. We're very aligned to the use case, which can all inter operate with each other. So maybe launched backup and recovery and disaster recovery. These can be handled separately, purchased separately and deployed standalone or for customers who want a combination of those capabilities. We also have a complete data protection are fine storage optimization, data governance E discovery in complaints are data management services that build on top off any of these capabilities now a very differentiating factor in our platform owners. All the services that you're talking about are delivered off the same software to make it simpler to manage to the same year. So it's very easy to start with one service and then just turn on the license and go to other services so I can understand the confusion is coming from but it's all the same. The customer simplicity and flexibility in mind, and it's all delivered off the same platform. So it is a portfolio built on a single Don. Would you like to add more to it? >>Yeah, I think the interesting thing due to add on top of that is where we're going with Hedvig Infrastructure, the head of distributed storage platform, uh, to to run this point, how everything is integrated and feed and work off of one another. That's the same idea that we have. We talked about unifying data and storage manager. So the intricate storage architecture components the way data might be maneuvered, whether it's for kubernetes for virtual machines, database environments, secondary storage, you name it, um, we are. We're quickly working to continue driving that level of of unification and integration between the portfolio and heads storage, distribute storage platforms and also deliver. So what you're seeing today going back to, I think wrong his first point. It's definitely not the culmination. It's just another step in the direction as we continue to innovate and integrate this >>product, and I think for our partners what this really does, it allows them to sell around customer use cases because it'll ask now if I have a d. Our use case. I can go after just PR. If I have a backup use case, I can just go after backup, and I don't have to try to sell more than that. Could be on what the customer is looking for in parallel that we can steal these things in line with the customer use case. So the customer has a lot of remote offices. They want to scale Hedvig across those they want to use the art of the cloud. They can scale these things independently, and it really gives us a lot of optionality that we didn't have before when we had a few monolithic products. >>Excellent. Really reminds me more of how I look at products if I was gonna go buy it from some of the public cloud providers living in a hybrid cloud. World, of course, is what your customers are doing. Help us understand a little bit, you know, Mercer talked about metallic and the azure partnership, but for the rest of the products, the portfolio that we're talking about, you know, does this >>kind >>of work seamlessly across my own data center hosting providers Public Cloud, you know, how does this fit into the cloud environment for your customer? >>Yes, it does. And I can start with this one goes to, um it's our strategy is cloud first, right? And you see it in every aspect of our product portfolio. In fact, I don't know if you got to see a keynote today, but Ron from Johns Hopkins University was remarking that comment has the best cloud native architectures. And that's primarily because of the innovation that we drive into the multi cloud reality. We have very deep partnerships with pretty much all the cloud vendors, and we use that for delivering joint innovation, a few things that when you think of it from a hybrid customers perspective, the most important need for them is to continue working on pram while still leveraging the cloud. And we have a lot of optimization is built into that, and then the next step of the journey is of course, making sure that you can recover to the cloud would be it work load. Typically your data quality and there's a lot of automation that we provide to our solutions and finally, Of course, if you're already in the cloud, whether you're running a science parents or cloud native, our software protects across all those use cases, either true sass with metallic auto downloadable software, backup and recovery so we can cover the interest victims of actual presence. You. We do definitely help customers in every stage of their hybrid cloud acceleration journey. >>And if you take a look at the Hedvig protect if you take a look at the head back to, um, the ability to work in a cloud native fast, it is essentially a part of the DNA of that storage of the storage, right? So whether you're running on Prem, whether you're running it about adjacent, set up inside the cloud head, that can work with any compute environment and any storage environment that you went to essentially then feed, we build this distributed storage, and the reason that becomes important. It's pretty much highlighted with our announcement around the kubernetes and container support is that it makes it really easy to start maneuvering data from on Prem to the cloud, um, from cloud to cloud region to region, sort of that high availability that you know as customers make cloud first a reality and their organizations starts to become a critical requirement or ensuring the application of and some of the things that we've done now with kubernetes in making all of our integration for how we deliver storage for the kubernetes and container environments and being that they're completely kubernetes native and that they can support a Google in AWS and Azure. And of course, any on premises community set up just showcases the value that we can provide in giving them that level of data portability. And it basically provides a common foundation layer, or how any sort of the Dev ops teams will be operating in the way that those state full container state workloads. Donna Oh, sorry. Go >>ahead, mark area >>because you mentioned the metallic and azure partnership announcement and I just want to get on that. And one thing that run dimension, which is we are really excited about the announcement of partnership with Microsoft and all the different news cases that opens up that are SAS platform with Azure with office 3 65 and all of the great application stack it's on. If you're at the same time, to run this point. We are a multi cloud company. And whether that is other of the hyper scale clouds Mess GC, P. Ali at Oracle and IBM, etcetera, or Oliver, Great service writer burners. We continue to believe in customer choice, and we'll continue to drive unique event innovations across all of those platforms. >>All right, Don, I was wondering if we could just dig in a little bit more on some other kubernetes pieces you were talking about. Let me look at just the maturation of storage in general. You know, how do we had state back into containers in kubernetes environments? Help us see, You know what you're hearing from your customers. And you know how you how you're ready to meet their needs toe not only deliver storage, but as you say, Really? You know, full data protection in that environment? >>Certainly it So I mean, there's been a number of enhancements that happened in the kubernetes environment General over the last two years. One of the big ones was the creation of what the visit environment calls a persistent volume. And what that allows you to do is to really present storage to a a communities application. Do it be typically through what's called a CSR container storage interface that allows for state full data to be written, storage and be handled and reattached applications as you leverage them about that kubernetes. Um, as you can probably imagine that with the addition of the additional state full applications, some of the overall management now of stateless and state collapse become very talent. And that's primarily because many customers have been using some of the more traditional storage solutions to try to map that into these new state. Full scenario. And as you start to think about Dev ops organization, most Dev ops organizations want to work in the environment of their choice. Whether that's Google, whether that's AWS, Microsoft, uh, something that might be on Prem or a mix of different on Prem environments. What you typically find, at least in the kubernetes world, is there's seldom ever one single, very large kubernetes infrastructure cluster that's set to run, Dev asked. The way and production all at once. You usually have this spread out across a fairly global configuration, and so that's where some of these traditional mechanisms from traditional storage vendors really start to fall down because you can apply the same level of automation and controls in every single one of those environments. When you don't control the storage, let's say and that's really where interfacing Hedvig and allowing that sort of extension distribute storage platform brings about all of this automation policy control and really storage execution definition for the state. Full statehood workloads so that now managing the stateless and the state full becomes pretty easy and pretty easy to maintain when it comes to developing another Dev branch or simply trying to do disaster recovery or a J for production, >>any family actively do. That's a very interesting response, and the reality is customers are beginning to experiment with business. Very often they only have a virtual environment, and now they're also trying to expand into continuous. So Hedwig's ability to service primary storage for virtualization as well as containers actually gives their degree of flexibility and freedom for customers to try out containers and to start their contingent. Thank you familiar constructs. Everything is mellow where you just need to great with continuous >>Alright, bring a flexibility is something that I heard when you talk about the portfolio and the pricing as to how you put these pieces together. You actually talked about in the presentation this morning? Aggressive pricing. If you talk about, you know, kind of backup and recovery, help us understand, You know, convo 2020 how you're looking at your customers and you know how you put together your products, that to meet what they need at that. As you said, aggressive pricing? >>Absolutely. And you use this phrase a little bit earlier is to blow like flexibility. That's exactly what we're trying to get to the reason why we are reconstructing our portfolio so that we have these very granular use case aligned data management services to provide the cloud like flexibility. Customers don't have the same data management needs all the time. Great. So they can pick and choose the exact solution that need because there are delivered on the same platform that can enable out the solution investment, you know, And that's the reality. We know that many of our customers are going to start with one and keep adding more and more services, because that's what we see as ongoing conversations that gives us the ability to really praise the entry products very aggressively when compared to competition, especially when we go against single product windows. This uses a lot of slammed where we can start with a really aggressively priced product and enable more capabilities as we move forward to give you an idea, we launched disaster recovery today. I would say that compared to the so the established vendors India, we would probably come in at about 25 to 40% of the Priceline because it depends on the environment and what not. But you're going to see that that's the power of bringing to the table. You start small and then depending on what your needs are, you have the flexibility to run on either. More data management capabilities are more workloads, depending on what your needs will be. I think it's been a drag from a partner perspective, less with muscle. If you want a little bit more than that, >>yes, I mean, that goes back to the idea of being ableto simply scale across government use functionality. For example, things like the fact that our disaster recovery offering the Newman doesn't require backup really allows us to have those Taylor conversations around use cases, applications >>a >>zealous platforms. You think about one of the the big demands that we've had coming in from customers and partners, which is help me have a D R scenario or a VR set up in my environment that doesn't require people to go put their hands on boxes and cables, which was one of those things that a year ago we were having. This conversation would not necessarily have been as important as it is now, but that ability to target those specific, urgent use cases without having to go across on sort of sell things that aren't necessarily associated with the immediate pain points really makes those just makes us ineffective. Offer. >>Yeah, you bring up some changing priorities. I think almost everybody will agree that the number one priority we're hearing from customers is around security. So whether I'm adopting more cloud, I'm looking at different solutions out there. Security has to be front and center. Could we just kind of go down the line and give us the update as to how security fits and all the pieces we've been discussing? >>I guess I'm talking about change, right, so I'll start. The security for us is built into everything that we do the same view you're probably going to get from each of us because security is burden. It's not a board on, and you would see it across a lot of different images. If you take our backup and recovery and disaster recovery, for instance, a lot of ransomware protection capabilities built into the solution. For instance, we have anomaly detection that is built into the platform. If we see any kind of spurious activity happening all of a sudden, we know that that might be a potential and be reported so that the customer can take a quick look at air Gap isolation, encryption by default. So many features building. And when you come to disaster recovery, encryption on the wire, a lot of security aspects we've been to every part of the portfolio don't. >>Consequently, with Hedvig, it's probably no surprise that when that this platform was developed and as we've continued development, security has always been at the core of what we're doing is stored. So what? It's for something as simple as encryption on different volume, ensuring the communication between applications and the storage platform itself, and the way the distributors towards platform indicates those are all incredibly secured. Lock down almost such for our own our own protocols for ensuring that, um, you know, only we're able to talk within our own, our own system. Beyond that, though, I mean it comes down to ensure that data in rest data in transit. It's always it's always secure. It's also encrypted based upon the level of control that using any is there one. And then beyond just the fact of keeping the data secure. You have things like immutable snapshots. You have declared of data sovereignty to ensure that you can put essentially virtual fence barriers for where data can be transported in this highly distributed platform. Ah, and then, from a user perspective, there's always level security for providing all seeking roll on what groups organization and consume storage or leverage. Different resource is the storage platform and then, of course, from a service provider's perspective as well, providing that multi tenanted access s so that users can have access to what they want when they want it. It's all about self service, >>and the idea there is that obviously, we're all familiar with the reports of increased bad actors in the current environment to increased ransomware attacks and so forth. And be a part of that is addressed by what wrong and done said in terms of our core technology. Part of that also, though, is addressed by being able to work across platforms and environments because, you know, as we see the acceleration of state tier one applications or entire data center, evacuations into service provider or cloud environments has happened. You know, this could have taken 5 10 years in a in a normal cycle. But we've seen this happen overnight has cut this. Companies have needed to move those I T environments off science into managed environments and our ability to protect the applications, whether they're on premises, whether they're in the cloud or in the most difficult near where they live. In both cases, in both places at once, is something that it's really important to our customers to be able to ensure that in the end, security posture >>great Well, final thing I have for all three of you is you correctly noted that this is not the end, but along the journey that you're going along with your customers. So you know, with all three of you would like to get a little bit. Give us directionally. What should we be looking at? A convo. Take what was announced today and a little bit of look forward towards future. >>Directionally we should be looking at a place where we're delivering even greater simplicity to our customers. And that's gonna be achieved through multiple aspects. 1st 1 it's more technologies coming together. Integrating. We announced three important integration story. We announced the Microsoft partnership a couple of weeks back. You're gonna see us more longer direction. The second piece is technology innovation. We believe in it. That's what Differentiators has a very different company and we'll continue building it along the dimensions off data awareness, data, automation and agility. And the last one continued obsession with data. What more can we do with it? How can we drive more insights for our customers We're going to see is introducing more capabilities along those dimensions? No. >>And I think Rhonda tying directly into what you're highlighting there. I'm gonna go back to what we teased out 10 months ago at calm Bolt. Go there in Colorado in this very on this very program and talk about how, in the unification of ah ah, data and storage management, that vision, we're going to make more and more reality. I think the, uh, the announcements we've made here today let some of the things that we've done in between the lead up to this point is just proof of our execution. And ah, I can happily and excitedly tell you, we're just getting warmed up. It's going to be, ah, gonna be some fun future ahead. >>And I think studio in the running that out with the partner angle. Obviously, we're going to continue to produce great products and solutions that we're going to make our partners relevant. In those conversations with customers, I think we're also going to continue to invest in alternative business models, services, things like migration services, audit services, other things that build on top of this core technology to provide value for customers and additional opportunities for our partners >>to >>build out their their offerings around combo technologies. >>All right, well, thank you. All three of you for joining us. It was great to be able to dig in, understand those pieces. I know you've got lots of resources online for people to learn more. So thank you so much for joining us. Thank you too. Thank you. Alright, and stay with us. So we've got one more interview left for the Cube's coverage of con vault. Future Ready, students. Mannan. Thanks. As always for watching the Cube. Yeah, Yeah, yeah, yeah, yeah, yeah
SUMMARY :
Brought to you by combo. You've got the power panel to really dig in on the product announcements that happened a bunch of new products that we launched today Hyper scaler X as a new integrated ago that everybody's kind of looking at and saying Okay, you know, will this make them compete against guess I mean, one of the key things that the random mentioned was the fact that had hyper how all of these product updates they're gonna affect the kind of the partnerships and alliances beasts that you So making sure that we get the right members in place to support our partners and investing in products in the piece that you discuss but But contrary to how you would think about portfolio as It's just another step in the direction as we continue to innovate So the customer has a lot of remote offices. but for the rest of the products, the portfolio that we're talking about, you know, And that's primarily because of the innovation that we drive into the multi cloud reality. critical requirement or ensuring the application of and some of the things that we've done now with kubernetes about the announcement of partnership with Microsoft and all the different news cases ready to meet their needs toe not only deliver storage, but as you say, Really? One of the big ones was the creation of what the visit environment and the reality is customers are beginning to experiment with business. the pricing as to how you put these pieces together. the same platform that can enable out the solution investment, you know, And that's the reality. offering the Newman doesn't require backup really allows us to have those Taylor conversations around use cases, have been as important as it is now, but that ability to target those specific, all the pieces we've been discussing? And when you come to disaster recovery, encryption on the wire, a lot of security aspects we've You have declared of data sovereignty to ensure that you can put essentially virtual fence barriers for where and the idea there is that obviously, we're all familiar with the reports of increased So you know, with all three of you would like to get a little bit. And the last one continued obsession with data. I'm gonna go back to what we And I think studio in the running that out with the partner angle. So thank you so much for joining us.
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Sherrie Caltagirone, Global Emancipation Network | Splunk .conf 2017
>> Announcer: Live from Washington, D.C., it's theCUBE, covering .conf2017. Brought to you by Splunk. >> Welcome back. Here on theCUBE, we continue our coverage of .conf2017, Splunk's get together here with some 7,000 plus attendees, 65 countries, we're right on the showfloor. A lot of buzz happening down here and it's all good. Along with Dave Vellante, I'm John Walls. We are live, as I said, in our nation's capital, and we're joined by a guest who represents her organization that is a member of the Splunk4Good program. We're going to explain that in just a little bit, but Sherrie Caltagirone is the founder and executive director of the Global Emancipation Network, and Sherry, thanks for being with us. We appreciate your time. >> Thanks so much for having me on, John. >> So your organization has to do with countering and combating global trafficking, human trafficking. >> That's right. >> We think about sex trafficking, labor trafficking, but you're a participant in the Splunk4Good program, which is their ten year pledge to support organizations such as yours to the tune of up to $100 million over that ten years to all kinds of organizations. So first off, let's just talk about that process, how you got involved, and then we want to get into how you're actually using this data that you're mining right now for your work. So first off, how'd you get involved with Splunk? >> Absolutely. It was really organic in that it's a really small community. There are a lot of people in the tech space who I found really want to use their skills for good, and they're very happy to make connections between people. We had a mutual friend actually introduce me to Monzy Merza, who's the head of security here at Splunk, and he said, "I'm really passionate about trafficking, I want to help "fight trafficking, let me connect you with Corey Marshall "at Splunk4Good." The rest is really history, and I have to tell you, yes, they have pledged up to $100 million to help, and in products and services, but what's more is they really individually care about our projects and that they are helping me build things, I call them up all the time and say, "Hey let's brainstorm an idea, "let's solve a problem, "let's figure out how we can do this together, and they really are, they're part of my family. They're part of GEN and Global Emancipation Network. >> That's outstanding. The size of the problem struck me today at the keynote when we talked about, first off, the various forms of trafficking that are going on; you said up to two dozen different subsets of trafficking, and then the size and the scale of 25 to 40-some million people around the globe are suffering. >> Yeah. >> Because of trafficking conditions. That puts it all in a really different perspective. >> You're right. Those weren't even numbers that we can really fathom what that means, can we? We don't know what 20 million looks like, and you're right, there's such a wide discrepancy between the numbers. 20 million, 46 million, maybe somewhere in between, and that is exactly part of the problem that we have is that there is no reliable data. Everyone silos their individual parts of the data that they have for trafficking, all the the different stakeholders. That's government, NGOs, law enforcement, academia, it's all kinds. It runs the gamut, really, and so it's really difficult to figure out exactly what the truth is. There's no reliable, repeatable way to count trafficking, so right now it's mostly anecdotal. It's NGOs reporting up to governments that say, "We've impacted this many victims," or, "We've encountered so-and-so who said that the "trafficking ring that they escaped from had 20 other people "in it," things like that, so it's really just an estimate, and it's the best that we have right now, but with a datalet approach, hopefully we'll get closer to a real accurate number. >> So talk more about the problem and the root of the problem, how it's manifesting itself, and we'll get into sort of what we can do about it. >> Yeah. It's really interesting in that a lot of the things that cause poverty are the same things that cause trafficking. It really is, you know, people become very vulnerable if they don't have a solid source of income or employment, things like that, so they are more willing to do whatever's necessary in order to do that, so it's easy to be lured into a situation where you can be exploited, for example, the refugee crisis right now that's happening across Europe and the Middle East is a major player for trafficking. It's a situation completely ripe for this, so people who are refugees who perhaps are willing to be smuggled out of the country, illegally, of course, but then at that point they are in the mercy and the hands of the people who smuggled them and it's very easy for them to become trafficked. Things like poverty, other ways that you're marginalized, the LGBTQ community is particularly vulnerable, homeless population, a lot of the same issues that you see in other problems come up, creates a situation of vulnerability to be exploited, and that's all trafficking really is: the exploitation of one individual through force, coercion, fraud, position of authority, to benefit another person. >> These individuals are essentially what, enslaved? >> Yeah. It's modern day slavery. There's lots of different forms, as you mentioned. There's labor trafficking, and that's several different forms; it can be that you're in a brick factory, or maybe you're forced into a fishing boat for years and years. Usually they take away your passport if you are from another country. There's usually some threats. They know where your family lives. If you go tell anyone or you run away, they're going to kill your family, those sorts of things. It is, it's modern day slavery, but on a much, much bigger scale, so it's no longer legal, but it still happens. >> How does data help solve the problem? You, as an executive director, what kind of data, when you set the North Star for the organization from a data perspective, what did that look like, and how is it coming into play? >> Well, one of the benefits that we have as an organization that's countering trafficking is that we are able to turn the tables on traffickers. They are using the internet in much the way that other private enterprises are. They know that that's how they move their product, which in this case is sadly human beings. They advertise for victims online. They recruit people online. They're using social media apps and things like Facebook and Kick and Whatsapp and whatnot. Then they are advertising openly for the people that they have recruited into trafficking, and then they are trying to sell their services, so for example, everyone knows about Backpage. There's hundreds of websites like that. It runs the gamut. They're recruiting people through false job advertisements, so we find where those sites are through lots of human intelligence and we're talking to lots of people all the time, and we gather those, and we try to look for patterns to identify who are the victims, who are the traffickers, what can we do about it? The data, to get back to your original question, is really what is going to inform policy to have a real change. >> So you can, in terms of I guess the forensics that you're doing, or whatever you're doing with that data, you're looking at not only the websites, but also the communications that are being spawned by those sites and looking to where those networks are branching off to? >> Yeah. That's one of the things that we really like to try to do. Instead of getting a low-level person, we like to try to build up an entire network so we can take down an entire ring instead of just the low fish. We do, we extract all the data from the website that we can to pull out names, email addresses, physical addresses, phone numbers, things like that, and then begin to make correlations; where else have we seen those phone numbers and those addresses on these other websites that we're collecting from, or did this person make a mistake, which we love to exploit mistakes with traffickers, and are they using the same user handle on their personal Flickr page, so then we can begin to get an attribution. >> John: That happens? >> Absolutely. >> It does, yeah. >> Sherrie: Without giving away all my secrets, exactly. >> Yeah, I don't to, don't give away the store, here. How much, then, are you looking internationally as opposed to domestically, then? >> We collect right now from 22 different countries, I think 77 individual cities, so a lot of these websites are usually very jurisdictionally specific, so, you know, like Craigslist; you go into Washington state and click on Seattle, something like that. We harvest from the main trafficking points that we can. We're collecting in six different languages right now. A lot of the data that we have right now is from the U.S. because that's the easier way to start is the low-hanging fish. >> What does your partner ecosystem look like? It comprises law enforcement, local agencies, federal agencies, presumably, NGOs. Will you describe that? >> Yeah. We do, we partner with attorneys general, we partner with law enforcement, those are the sort of operational partners we look for when we have built out intelligence. Who do we give it to now, because data is useless unless we do something with it, right? So we we build out these target packages and intelligence and give it to people who can do something with it, so those are really easy people to do something with. >> How hard is that, because you've got different jurisdictions and different policies, and it's got to be like herding cats to get guys working with you. >> It is, and it's actually something that they're begging for, and so, it's a good tool that they can use to deconflict with each other, 'cause they are running different trafficking-related operations all the time, and jurisdictions, they overlap in many cases, especially when you're talking about moving people, and they're going from one state to another state, so you have several jurisdictions and you need to deconflict your programs. >> Okay, so they're very receptive to you guys coming to them with they data. >> They are; they really want help, and they're strapped for resources. These are for the most part, not technically savvy people, and this is one of the good things about our nonprofit is that it is a staff of people who are very tech-savvy and who are very patient in explaining it and making it easy and usable and consumable by our customers. >> So if I'm an NGO out there, I'm a non-profit out there, and I'm very interested in having this kind of service, what would you say to them about what they can pursue, what kind of relationship you have with Splunk and the value they're providing, and what your experience has been so far. >> It's been wonderful. I've been over at the Splunk4Good booth all day helping out and it's been wonderful to see not only just the non-profits who have come up and said, "Hey, I run a church, "I'm trying to start a homeless shelter for drug-addicted "individuals, how can you help me," and it's wonderful when you start to see the light bulbs go off between the non-profit sector and the tech sector, between the philanthropic organizations like Splunk4Good, the non-profits, and then, we can't forget the third major important part here, which is, those are the tech volunteers, these are the people who are here at the conference and who are Splunk employees and whatnot and teaching them that they can use their skills for good in the non-profit sector. >> Has cryptocurrency, where people can conduct anonymous transactions, made your job a lot more difficult? >> No, it hasn't, and there's been a lot of research that has gone into block chain analysis, so for example, Backpage, all the adds are purchased with Bitcoin, and so there's been a wonderful amount of research then, trying to time the post to when the Bitcoin was purchased, and when the transactions happen, so they've done that, and it's really successful. There are a couple of other companies who do just that, like Chainalysis, that we partner with. >> You can use data to deanonymize? >> That's correct. It's not as anonymous as people think it is. >> Love it. >> Yeah, exactly. We love to exploit those little things like that. A lot of the websites, they put their wallets out there, and then we use that. >> Dave: You're like reverse hackers. >> That's right. It's interesting that you say that, because a lot of our volunteers actually are, they're hacker hunters. They're threat and intel analysts and whatnot, and so, they've learned that they can apply the exact same methods and techniques into our field, so it's brilliant to see the ways in which they do that. >> Dave: That's a judo move on the bad guys. >> Exactly. How long does this go on for you? Is this a year-to-year that you renew, or is it a multi-year commitment, how does that work? >> It's a year-to-year that we renew our pledge, but they're in it for the long haul with us, so they know that they're not getting rid of me and nor do they want me to, which is wonderful. It's so good, because they help, they sit at the table with me, always brainstorming, so it's year-to-year technically, but I know that we're in it together for the long haul. >> How about fundraising? A big part of your job is, you know. >> Of course it is. >> Fundraising. You spend a lot of time there. Maybe talk about that a little bit. >> Yeah, absolutely. Some of our goals right now, for example, is we're really looking to hire a full-time developer, we want a full-time intelligence analyst, so we're always looking to raise donations, so you could donate on our website. >> John: Which is? >> Which is globalemancipation.ngo. Globalemancipation.ngo. We're also always looking for people who are willing to help donate their time and their skills and whatnot. We have a couple of fundraising goals right now. We're always looking for that. We receive a lot of product donations from companies all over the world, mostly from the tech sector. We're really blessed in that we aren't spending a lot of money on that, but we do need to hire a couple of people so that's our next big goal. >> I should have asked you this off the top. Among your titles, executive director and founder, what was the founder part? What motivated you to get involved in this, because it's, I mean, there are a lot of opportunities to do non-profit work, but this one found you, or you found it. >> That's right. It's a happy circumstance. I've always done anti-human trafficking, since my college days, actually. I started volunteering, or I started to intern at the Protection Project at Johns Hopkins University, which was a legislative-based program, so it was really fantastic, traveling the world, helping countries draft legislation on trafficking, but I really wanted to get closer and begin to measure my impact, so that's when I started thinking about data anyways, to be able to put our thumb, is what we're doing. Working. How are we going to be able to measure success and what does that look like? Then I started volunteering for a rescue operations organization; the sort of knock down the doors, go rescue people group, and so, I really liked having the closer impact and being able to feel like hey, I can do something about this problem that I know is terrible and that's why it spread. A lot of the people I worked with, including my husband, come from the cyberthreat intelligence world, so I feel like those ideas and values have been steeped in me, slowly and surely, over the last decade, so that just ages myself a little bit maybe, but yes, so those ideas have been percolating over time, so it just kind of happened that way. >> Well, you want to feel young, hang around with us. (laughing) I should speak for myself, John, I'm sorry. >> No, no, you're right on, believe me. I was nodding my head right there with you. >> Can you comment on the media coverage? Is it adequate in your view? Does there need to be more? >> On trafficking itself? You know, it's really good that it's starting to come into the forefront a lot more. I'm hearing about it. Five years ago, most of the time, if I told people that there are still people in slavery, it didn't end with the Civil War, they would stand at me slackjawed. There have been a few big media pushes. There's been some films, like Taken, Liam Neeson's film, so that's always the image I use, and that's just one type of trafficking, but I'm hearing more and more. Ashton Kutcher runs a foundation called Thorn that's really fantastic and they do a similar mission to what I do. He has been able to raise the spotlight a lot. Currently there's a debate on the floor of the Senate right now, too, talking about section 230 of the CDA, which is sort of centered around the Backpage debate anyway. Where do we draw the line between the freedom of speech on the internet, with ESPs in particular, but being able to still catch bad guys exactly. The Backpage sort of founder idea. It's really hot and present in the news right now. I would love to see the media start to ask questions, drill down into the data, to be able to ask and answer those real questions, so we're hoping that Global Emancipation Network will do that for the media and for policy makers around the world. >> Well it is extraordinary work being done by an extraordinary person. It's a privilege to have you on with us, here on theCUBE. We thank you, not only for the time, but for the work you're doing, and good luck with that. >> Thank you very much for having me on. I really appreciate it. >> You bet. That's the Global Emancipation Network. Globalemancipation.ngo right? Fundraising, always helpful. Back with more here on theCUBE in Washington D.C., right after this. (electronic beats)
SUMMARY :
Brought to you by Splunk. that is a member of the Splunk4Good program. and combating global trafficking, human trafficking. So first off, how'd you get involved with Splunk? There are a lot of people in the tech space who I found and the scale of 25 to 40-some million people Because of trafficking conditions. and that is exactly part of the problem that we have is that of the problem, how it's manifesting itself, a lot of the same issues that you see in other problems they're going to kill your family, those sorts of things. Well, one of the benefits that we have as an organization That's one of the things that we really like to try to do. to domestically, then? A lot of the data that we have right now is from the U.S. Will you describe that? and give it to people who can do something with it, like herding cats to get guys working with you. and they're going from one state to another state, Okay, so they're very receptive to you guys coming to them These are for the most part, not technically and the value they're providing, and what your experience the non-profits, and then, we can't forget the third major all the adds are purchased with Bitcoin, and so there's been It's not as anonymous as people think it is. A lot of the websites, they put their wallets out there, and techniques into our field, so it's brilliant to see Is this a year-to-year that you renew, or is it a multi-year for the long haul. A big part of your job is, you know. Maybe talk about that a little bit. looking to hire a full-time developer, we want a full-time all over the world, mostly from the tech sector. to do non-profit work, but this one found you, A lot of the people I worked with, including my husband, Well, you want to feel young, hang around with us. I was nodding my head right there with you. drill down into the data, to be able to ask and answer those It's a privilege to have you on with us, here on theCUBE. Thank you very much for having me on. That's the Global Emancipation Network.
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