>> Narrator: Live from Las Vegas, it's theCUBE! Covering IBM Think 2018. Brought to you by IBM. >> Hello everyone and welcome back to theCUBE's exclusive, three days of coverage here at IBM Think 2018. I'm John Furrier co-host with Dave Vellante, hosting three days and next is Joel Horowitz, Vice President Strategic Partnerships and Offering, of The Digital Business Group. >> Thanks. >> Welcome back to theCUBE. Good to see you. >> Good to see you guys. Thanks for having me here. >> Thanks for coming on. >> You've been on theCUBE, probably so many times, talking big data, talking analytics, now, in your new role in The Digital Group, the digital transformation. I really want to just ask you right off the bat about your new role, and how it relates to the changing ecosystem. >> Joel: Yeah. >> All of these markets are changing big time, the role of the ecosystem, the leverage that they have with technology and the value propositions, whether it's decentralized applications in Blockchain to storage and infrastructure, and big data. What is your role, take a minute to explain what you're doing, because you have a unique position, because this demand for partnerships, this demand for collaboration at many levels. What's the latest? >> So I would describe my role as being a champion of our partners, for sure. I look at, you know, I take, a very outside in perspective on IBM. Joining just over three years ago now, I came in, really through analytics, as you know, focused on machine learning, data science, and the growth of A.I. at that time. Last year I was part of the corporate development team over there. So looking, really, at a lot of the industry trends and what's going on, as well, in analytics, data, and A.I. This year, you know, we recognize that we're only going to do so many strategic partnerships a year, right, where there's probably a handful that we're going to work with. For example, last year we did a great partnership with Lightbend to bring their reactive platform to IBM, and we launched the iPhone 10, with Verizon on Lightbend's platform. But, these days, my team, can't be everywhere, obviously, and part of the value of digital, and that route to market is really the idea that partner should be able to self service. So, you know, my job this year, is frankly to put myself out of a job, right. Meaning, if I can get, you know, 70% of the work my team does, right, contracting, legal, setting up, provisioning, all of that on our cloud, and partners can just do that themselves. Then we'll capture a much larger swath of the emerging A.I., data, and cloud market. >> I want to talk about the killer app creating value and then the role the market place is playing. You mentioned self service. I want to kind of go down that. Before we get there, I want to get your thoughts on this because I noticed, in your role you're covering, it's cutting across a lot of different things, and you know we've been talking about cloud, as a horizontally disrupting technology, >> Joel: Yeah. >> Certainly in the data space you saw that. And stacks will be horizontally scalable with the cloud. >> Yeah. >> But you could be vertical specialization in the applications. So I noticed you're covering analytics, Watson, Cloud, hybrid cloud, emerging technologies. >> Yeah. >> Blockchain, and many others. >> Yeah. >> So talk about, it's obvious you guys are now cutting across, horizontally, across the different IBM divisions. Is that by design? >> Yeah. >> What's the impact of the ecosystem and partners for that horizontally cut over? >> Yeah, I know, I mean it's a great question, I think. Look, there are some specific design patterns that we see across every technology, across every, you know, business at IBM. One design pattern is pretty obvious, you saw it with the launch of the IBM cloud private data. Following up on last years IBM Cloud Private. And that design pattern is really about people containerizing applications. And so, at the end of the week, we have the business partner, or PartnerWorld Leadership conference. Excuse me. Where a number of our partners really are looking at how do I bring that work load to the cloud. And it's not so much the cloud is the end point. That's really the starting off point to A; Get much wider distribution and B; Be able to take advantage of a lot of these emerging technologies, like Blockchain, like A.I. Like IOT, and numerous others, Quantum, et cetera, they'll just keep coming. So really cloud to me is just a way for us to open the door to a lot of the technology that's flooding the market. >> Dave: Joel, can you talk about partnership, you mentioned before that you guys are kind of selective, John calls them Barney deals, ya know. I love you, you love me. You guys sound like you don't look for those, not volume, it's quality. >> Yeah. >> What are the criteria that you're looking for? How do you get value out of those? How do you measure that value out of the partnerships? If someone is a prospective partner out there, how should I be interacting with you? >> Yeah, I think, there's probably two steps. I think one is really recognizing that, in my own personal view, is that we really want to partner with folks who embrace open standards. Now I'm not going to like go as far to say open source, 'cause I think there is a lot that goes into that. But I will say open standards, meaning, not these like large monolithic applications, but can you actually integrate with us in some meaningful way? And to do that, that's why we actually started on this new platform that we are launching today. Called IBM Partner Self-service. Is the ability to first integrate with IBM. So, if you can demonstrate that you can build with IBM first, whether that's a startup, an ISV, a business partner. Like that's criteria number one. Criteria number two is are you a trusted partner? So, do you actually have the same level of competency that we would expect from, frankly, our own sellers, and our own people. And so, to do that, we've also launched new competency paths for business partners and partners as well. So, those are the two major criterias. And then the third one, which I think is kind of the holy grail, is selling with IBM. So we also launched a sell with path today where you can actually list in our marketplace. And then we will actually help you reach new markets. And then demonstrate there's clients, there's a client need that really wants our joint solution, right? And so, to me, those are the three things, to re-state. Like, you know, building with us, having a level of competency with us, and then demonstrating client success with us. >> Okay, so, integrate, you really don't need you guys to do that. I can just dive in and do that. Bake it out a little bit, and then approach you. What kind of help do you give? Do you have programs once you get by those gates? >> So, you know, I would categorize into two groups, I think we have a ton of online support. So, you know, we even embrace Slack at IBM. If you're not aware of that, we have Slack everywhere. And, so, for a self service, I want to say, look, what does zero touch mean, right, in this day and age, for a partner. And so, they can go to our site today, and actually get, you know, sign up for Slack, and talk directly to our technical specialist as well as to our developer advocates. And so, on the enablement and integration side, my colleague, Angel Diaz and team, have done a great job of launching hundreds of IBM code patterns. So that you can just pick these artifacts up, these assets up, and leverage them to integrate all sorts of capabilities into your product. >> You know, Dave, I want to get your thoughts on this, because you and I have been talking about the API integration, and I want to get back to Joel's point in a second because I think this is critical for startups and ecosystem partners. API's are the (speaking quickly) for developers right now, so if I don't want to take a big chance on being all in on IBM, say I want to kick the tires, API's are critical. So the question is, are you seeing that traction on your side of the house, in terms of the end now, since the level of API integration, is that the touchpoint? Is it like the beginning phases? And what level of commitment that you're seeing with people. >> Well, John, to me it comes down to innovation, and it's interesting because Joel came out of the data world. To me, the innovation in the next 10 years starts with data. The second component of that innovation, I think, over the next decade or so is going to be, really, A.I., whether you call it cognitive or machine intelligence or artificial intelligence. And then third, I think is cloud economics and that's really where the API economy fits in. You got to have API'S to integrate, as Joel was saying. You've got to have marginal... You've got to have scale, marginal costs go to zero eventually. You've got to have network effects and you've got to be able to track startups, which is another question I have. >> Now Joel, back to you, on the start on the integration, whether it's a startup or a big company. It used to be, the old days, you got to go all in. You've got to get the developer kit, >> Joel: Yeah. >> Download it, line it to a swim lane, get deeper, prove your value. >> Yeah. >> Find the value's faster; what's the first hurdle if someone wants, hey I want to give IBM a shot here? Love the sell, holy grail option, is it API'S, can people integration on their own? Talk about that specific first step because some people might open up the door and go whoa! There's more here than I thought. Or, wow, there's some real tech. Or, I don't want to use IBM tech, I want to use some of mine. There's that first indifference point. >> Yeah, I think there are areas where we've seen dramatic customer experience improvements. So to give one example, as we've partnered with Ubisoft, Redstorm last year around a new title game that they released called Star Trek Bridge Crew, and so, you know, to me, we went on our own merit, and I think that publisher chose IBM because Watson Conversation is absolutely the best on the market. And so what that did is it enabled game players, their end customer, their end user, to speak into a VR headset and just give commands, as you would naturally. And so, I think a lot of, as you think about IBM, it's, yeah, we've made it completely easy to access our API'S. I think, there's a great quote from the founder of Flickr that I read years ago, I'll go dig it up for you guys later, but it was along the lines of business development means, today is exposing your API'S, like, that's it! And, on the other side of it, we give a lot away in terms of cloud credits, right, and so, today, if you go and sign up on our self service platform, we'll give you $10,000 a month in free cloud credits to build and build quickly. Because, at the end of the day, if it's not self service, if it requires more heavy lifting, then, frankly, we're not doing our jobs. And so that's my commitment, is to make sure that is available, is accessible, and there's experts there that can help you on your journey. >> So that attracts startups, obviously, 10K a month is a honey pot for those guys. What about existing IBM clients that want to get to the cloud. Migrate to the cloud. How do you help those guys? >> Yeah, so, in the migration front, we have a great team in place with IBM services, who basically have set up a migration factor, if you will, and there are numerous ways to chart your course to the cloud. Whether it's, you know, full cloud or hybrid cloud, or some offloading, some aspects to the cloud. There's a lot of different paths you can take and so to do that, we're offering $50,000 in migration credits for the first couple months. We're also offering 35% off for professional services. So, we have a great offer going on over the next few months to help people make that first step. >> Incentives are key. >> And, look, we're here with you so it's not like, here, throwing it over the fence, and good luck! You know, tweet at me, instant message me, I'm around. And I will be absolutely committed to partner success. >> Yeah, you know, incentives are critical, that's going to get the market going. But, the end of the day, it's the type of value, and I want to get your thoughts, it's something that's come up that I've heard people talk about in the hallways and other conferences. They kind of chirp about "Hey, you know, "I'd like to get this, from suppliers. "I want to see more tools, more programs "to help me get more customers, to get more value. "I'm building apps, but also got a business to run." What are some of the conversations you've had over the past year with customers and partners? Stack rank the top three or four things that they talk about, either their pain points or things that are on their mind, that's worth noting? >> I mean, I would say first and foremost, I mean, me, myself, being in a startup at H2O. Three, four years ago. We used to walk in there and sell into the data scientists, right, so if you don't know H2O, they're a great company, a machine learning company, but we would get the data scientists really excited about working with our product, and then lo and behold, we'd get to the CIO office saying, "Hey, what is this stuff? "Get it out of here." You know, Hadoop was the same way, by the way, 2010 working at AVG, like, we'd bring in Hadoop. Like what is this data like thing? There's no governance, it's a mess. Where they could really, you know, work with IBM, where they see value from IBM is when we go into the CIO office together and say, look, we've demonstrated that there's value here. We've demonstrated that there's actual customer need. We can create a lot of help in terms of getting the rest of the organization bought in. Put in the right governance around it. Because, look, I mean GDPR is real, it's a big deal. Like, data privacy, is huge. So, you know, Rob Thomas likes to say, "You can't have good A.I. without I.A." I think that's a great information architecture. So, I agree, and so I think that's what the number one benefit is. Really get in there, move quickly, demonstrate value, and then when you're ready to make that next step of how you roll that out to the rest of the enterprise, that's when IBM becomes a huge help. >> You know, you mentioned GDPR. With regulatory issues now are becoming criteria for a lot of application developers that are small that may not have the resources to handle the right to get your name out of a database or other tools, and other regulations, certainly. Decentralize applications with Blockchain, another regulatory challenge-- >> Yep. >> Opportunity as well. Are you guys having those kinds of conversations, like putting specific things in place beyond GDPR, and if so what regulatory and legal things do you see out there that could be blockers for customers, that you guys hope to go after? >> I mean, I don't think there's a one word answer here. I do think that you take it on a case by case basis. I think you're seeing different countries adopt GDPR differently. Germany, obviously, being a very strict kind of country in doing that. So, you know, IBM services, as well as our analytics team, are really focused on that. I think, like I said, what you saw with ICP data coming out this week, I think that's a really important way to look at it. My own personal view, I think, for sure there's a lot of compliance, They have to look at, and understand the workflow, workflows of how people are using that data, as well as application architecture is big. And those are all the considerations, I think, that you are going to see as people move. I read a statistic that 40% of all CSP'S, MSP'S, are moving, are growing, like it's 40% growth from IBC, 50% of all developers are now embedding A.I. So, this market is growing and growing fast. But, you're right. If folks out there aren't really taking GDPR seriously, you can get yourself into some hot water. >> Well, we've observed that scale matters, certainly, whether it's a partner or cloud, that gets, that helps people. >> Yeah. >> Joel, well, thanks for coming onto theCUBE, we really appreciate it. >> Yeah, my pleasure. >> Before we end, I want to get your thoughts, just share with the folks that are watching. What kind of deals do you want to do? What's on your radar? What's the priorities for you? From a strategic business development standpoint. To develop across that horizontally scalable, IBM division space, as well as technology space? >> You know, it's not what deals I want to do, it's really what deals our partners want to do. >> Come on, your in charge, come on. >> It's really what deals our partners want to do, ya know. I mean, look, I get excited about transforming industries, I really do, so I look at, not what's the transactional partnership, like go, we'll do something, and there's some revenue, or something. I look at how do we transform an industry? >> Let me rephrase the question. What's on the priority list for you guys, from a transformational area, that's important for your partners. >> Yeah, I would say for sure, obviously, A.I. is huge. Obviously data is huge, obviously cloud is huge. But, looking really specific, I think you just add tech after each industry. So Addtech, Fintech, Healthtech obviously. Game tech and, I think, probably the last one, to me personally, is the most exciting. We signed an amazing deal with Unity at the end of last year, the start of this year. In fact GDC game developer conference is going on as we speak in San Francisco. So half my team right now is over there, demonstrating Watson as like VR, AR, and it's not just for games, right. It's like with BMW and VW doing some cool stuff there as well. So, I'm really excited about the, AR, VR, industry growing, especially with our partner Unity. >> There's a new creative out there-- >> Can I jump in before you exit? I want to ask you a follow up on that, because if transformation is sort of the target for your partnerships. Healthcare is an area that should be transformed. But, needs to be transformed, but it's hard to transform healthcare. >> Joel: It is, yeah. >> Do you feel like you could start moving the needle from a partnership perspective? Or is that going to take some more time? >> You know, I think there's a lot of great work being done there. I do believe... Look, in general, I think we can move a lot faster with partners, in fact, I like to call it like the Nordstrom model. Right? Like IBM in the past has been Barney's of New York, forever, right? From a branding and from how we partner with folks, like I think we need to move more to a Nordstrom, like, yeah, we'll sell our own offerings off the rack, but then we need to help partners come in and create the right styles for the right need and the right industry. >> Yeah and then there's a Nordstrom Rack you're going to need to put that on. (laughing) Over technology goes the Nordstrom Rack. Joel Horowitz, thanks for coming out. Vice President Strategic Partnerships and Offerings, here on theCUBE. I'm John Furrier with Dave Vellante, with three days of IBM Think live streaming, all of the videos will be up on thecube.net sports live now. Youtube.com/siliconangle for all the ondemands when the show's over. We'll be right back with more after this short break. (light techno music)

>> 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)

hello welcome back mark risen Hopkins here at South by Southwest 2011 and I'm here with Nick do cough from info chimps where I'm from I'm pretty familiar with because I'm a tech center and I hear about these guys all the time you may or may not you should probably should know who these people are but if you're not Nick I'm just going to have you start off with a little bit of an elevator pitch talk about what your company does and acquaint them I hope hopefully they can hear you over the whatever that is a keynote or contest what is going on out there sure thank you info chums is a market place to find share and build on data we have two big customer bases one is the developer community which we're just really focused on making it super easy for developers to build applications you know an application is really two things right it's code and it's a database and there's lots of folks out there that help developers get access to code such as github but there's really not a centralized repository for structured information data and so that's what we're building and we're really excited about it the other part of our business is our marketplace where we have data sets that are published and can be downloaded as flat files so if you're you know mom and pop or you know non technical user and you know data for you is you know viewable in Microsoft Excel that's you know that's the place for you the beautiful thing is it's all found at the same place and that's info gems com I was going to talk a little bit about your recent announcement and Michelle the former contributors SiliconANGLE if you're watching this video you probably know who Michelle Greer is has been excitedly talking in hushed tones don't tell anybody till we announced but check a look at this is really cool your API Explorer and the launch of is it 1000 API is 1000 2000 data sets so i've i've never really dug is deep into your data sets as I have in the last couple of weeks while you've been turning on the API Explorer and uploading these new things so tell me tell me for is all about the broadly about the data sets and the API explored how that works and then we'll dive deeper into a couple of these that are really cool thanks and you know sorry to steal Michelle from you but she's a rock star and we love her so we recently published two thousand new API calls and you know that that's pretty exciting for us we're trying to make you know as much data is available in one place as as there is on the internet and these two thousand API calls range from social media data to weather data to stock data and really you know our key focus here was just to try to think of what are the building blocks for an application and how can we provide just data sets that you know can inspire developers to build applications without ever having to bring data down onto their own server the API Explorer makes it super easy for anybody to come and see you know after they pass through an input what what the output looks like within their web browser so they don't have to go and start coding to figure out what the output is going to look like they can you know get a few samples right there in the browser so the and as someone who is a lightweight developer these days but was a heavy coder back in my early days the API Explorer is what really makes it real in my opinion because you can look at the documentation all day long and we spoke to somebody earlier today that's in the documentation business as soon as you hear that you know it's nor right you know I don't want some ads either you're thinking about it something has to write the documentation which is a which is a big task always or someone's got to read it unless you need it like five minutes ago you you're not going to be hitting the books so but being able to just see a little box and like okay here's what I put into this box and hit the button and see what comes out the other end that's what makes it real so that that's I think something that makes what you guys are doing pretty exciting now but one of the ones that Michele showed me was clearly which is another company that uses you as the platform to publish the data and the AP I and so talk a little bit about what clearly does I can see a hundred uses for this for applications we're developing so talk a little bit about what that does and in depth about as much debt as you can about how they get their data and all that so poorly is a company run by Mac Schneider Hoffer based in London UK and he was previously at Atlas ventures he was a VC you know came back to the bright side of things and started his own company what clerk poorly does is a database across social identities so you know who are you online who am i online I'm Nick do cough um Twitter I'm / do cough on facebook I'm / Nick dash do cough on linkedin and you know it's hard to sometimes find in a programmatic fashion you know all of the identities for a person online and so what queries done is you can pass through whatever you've got twitter handle or Facebook account or a linkedin account and it will help map across all of the other social networks and help you find your flickr account the youtube account your LinkedIn account so that you know developers can help build you know any number of applications we deal we're based out of the cloud air office our Palo Alto group is based on cloud our office so a lot of what we do is using Hadoop to bring structure into unstructured data and I know that API right there I think saved us probably about three months worth of development on one aspect so we're going to be using it just just so you know but I mean being able to surface a surface content in a way that like being able to access you know you know the people that are around it like invented by stop by Southwest you control feeds find people that are there at South by Southwest but you don't always have access to all the content they're publishing because they may not have an auto feed going but you know with something like we really you can pull all their other feeds and then you know just just filter it based on location or date range or whatever it is you're doing and really go up with something useful you know to speak a little bit about what they do and I'm happy to also introduce you to max he's coming into Austin for South by Southwest but I hope you get it through us and not them but so what max does is you know they use indicators you know strong links across your various profiles to see UK is at Nick Duke off really the same guy as facebook / Nick Duke off right you know am I linking to my facebook profile from my twitter profile or you know in my facebook have i mentioned you know back to my twitter profile or my about me profile or something else right so that they can see okay well is this person really this this person well and then this kind of links into the the other discs the other API we were discussing earlier which is the Twitter profile search that combined with maybe the queerly search would be a great way of surfacing like Authority nodes on you know amongst content providers so talk about the differences between Twitter's native profile search we did we ran it on Batman Batman comics my thing and versus the the profile search that you guys have so we're really moving to having you know the data store of choice for us is elastic search it's an incredibly powerful tool that allows you to do essentially boolean searches across large data files for instance the Twitter profile search is a hunt across 100 million nodes and what we've got now is the ability to search across those 100 million users you know with the key words that they use in their profile and that can be you know obviously name it can be how they describe themselves what they like we're even there from Twitter the way that they do it based on just a couple searches that we ran it looks like they have some kind of method of looking both at the tweets themselves as well as potentially other keywords around what you need Charlie in character Gotham news and all kinds of crazy stuff nothing none of it had to do with that man comics per se than loosely associated with Batman so I guess if you're into that there you go but if you want an exact match this would be the way to go so so it's not all social data you've got I know there's some sports related ones in there there's a the raw word searches it was at the British corporate national corpus you've got a couple other ones that escaped me at mall and just a well with 2000 but so lots of interesting data to be able to search tubing so let's uh let's look a little bit broader where did you guys where was the inspiration for this what was the amo because big data is this is the is a focus for us editorially for the next foreseeable future whatever that ends up being because we covered a couple of conferences recently strata Hadoop amazing viewership that we were just talking about the concepts behind big data and it resonated with both our consumer oriented audiences developers of course but also enterprise because big data is something that affects them too and it's not just all about social and mobile and you know the fun stuff that Mashable and the TechCrunch and the web to blogs like to talk about but it's it's crossed over at IT so what was your aha moment that led you to pursue the path that that info chimps has because you're you're positioned at a good nexus for enterprise and all the consumer facing data stores so we'll just just talk a little bit about that journey sure so flip Cromer another one of our co-founders and CTO was pursuing his PhD in physics at UT and in the course of his research no spent a lot of time you know finding and munching data the kind of aha moment for him was it's a pain in the butt to find data online no Google does a wonderful job of indexing you know blobs unstructured information on web pages but they don't do a great job of indexing structured information and so flip set out to solve this problem and asked around his his fellow PhD candidates if anybody might be interested in pursuing pursuing this this this mission and found dhruv bandage m's team and kind of from there you know we've built up to 15 chimps trying to democratize access to structured information so so talk about the process of like data sanitization i know its a mix of automated and hand hand washing of the data so talk if you can talk about that it may be part of your secret sauce but if you didn't talk a little about that process I'd like to learn more sure so one of our kind of core philosophies is we take data and we publish it in a structured format we don't necessarily cleanse it when there's clearly articulated demand for a very high quality data set either we'll find it either through a third party supplier or we'll build it ourselves but unless there's clearly articulated demand we publish it the same way that we find it the only change that we make is we identify columns and rows so that you can make that you know in a machine-readable format okay but and also part of the rolls is documentation of that which is which is your next big but you can only do with 15 people do to so much at one time so you've got all the data published and part of that role is actually making it searchable curated and findable yeah so we absolutely want to continue to work on cleaning up the metadata you know around the data one of the things that we've been working on is a unified format of metadata and so that's something that we're pretty far along on and really excited about and I think it will really help with scalability because you know our data team can ingest data you know pretty quickly at this point you know we're pulling in you know hundreds of gigabytes a week or more probably closer to terabytes a week and but you know we got to make sure that we keep up with respect to you no documentation like you were saying and making it easily findable or we end up in the same place that we were before we started in foot jumps and so what we've done is we've loaded all of the metadata into elasticsearch as well as some of the data so that you know we obviously our search algorithm is part of our special sauce but we try to make you know the data set that's most relevant to you adjacent to the data that you either have or otherwise we're looking for so search search is really becoming a everything old is new again that's like a one of the themes people going back to search and reapplying it to problems that Google you know doesn't need to work on right Google is everybody thinks Google is solved search and I think they'll probably the first to tell you that we got ninety five percent of it down but I think it may be more than that really because there's so many different aspects of search that haven't been tackle I mean you got the semantic side you've got different different organizations that are trying to patch holes in micro site search you know or whitelisted topic-specific search and you're working on a couple different approaches to structure data search so that's that's one of the things I'm seeing is emerging theme what just stepping back I mean you've been like I suspend like a day and a half here in South by Southwest but you've probably been exposed to the the prep a little bit longer than I have been local to Austin what's what are some of the themes you're seeing emerge out of the conference here so you know it's it's all about location right you know you know location local and you know the data that powers that and so with respect to location you know one of the important themes is you know places where am i standing right now and there's a number of folks out there that you know might even tell you different things about where you're standing and so over the next couple months we're pretty excited to announce some partnerships that you know will save for another story to really make it easy for developers to build location-based applications and obviously a big part of that will be you know retail inventory and and and other things about where you are right happy hour specials you know all the other ratings and reviews you know all the kinds of stuff that folks ask for all the time you know can you scrape citysearch can you scrape yelp and you know we won't necessarily but we'll work with a lot of folks who have similar databases or those companies themselves to make it available to our developer community so one of the yet so that's a good position to delve into a little bit because i think that the fear is with companies that sit in a position you do where you envelop so much of an ecosystem is that you will compete with that ecosystem eventually we see it with Twitter you see with Facebook and you know those evangelists for those those organizations will will tell you okay we're not really competing but we know they are I mean either they are or they're just really bad at communicating how they don't want to communicate compete with their own ecosystem so that you leave the data sanitization scraping and otherwise organizing to other people and you're just organizing the organization of the data that that's an interesting point to elaborate on for instance a good number of those two thousand data sets where we took factual corpus of data sets and published them as api's right so we took what was you know structure data and made it published in an application programming interface right and that was something that hadn't been done before and now it's even easier to build on top of those databases right so you know they existed in the wild and we just made them easier to find an easier to access and that's really what we're what we're trying to do very cool stuff big data a theme search a theme South by Southwest 2011 I am Margaret Ann Hopkins we've been chatting with info chimps so a company to watch keep an eye on these guys play with the API Explorer I can't I am I'm not getting paid by these guys to say this I just really like it I played with it I really liked it so I think you should to stay tuned to SiliconANGLE console can hang a lot TV we'll have more coverage coming out of the conference so don't go away