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Clive Charlton and Aditya Agrawal | AWS Public Sector Summit Online


 

(upbeat music) >> Narrator: From around the globe. It's The CUBE, with digital coverage of AWS public sector online, (upbeat music) brought to you by, Amazon Web Services. >> Everyone welcome back to The CUBE virtual coverage, of AWS public sector summit online. I'm John Furrier, your host of The CUBE. Normally we're in person, out on Asia-Pacific, and all the different events related to public sector. But this year we have to do it remote, and we're going to do the remote virtual CUBE, with Data Virtual Public Sector Online Summit. And we have two great guests here, about Digital Earth Africa project, Clive Charlton. Head of Solutions Architecture, Sub-Saharan Africa with AWS, Clive thanks for coming on, and Aditya Agrawal founder of D4DInsights, and also the advisor for the Digital Earth Africa project with AWS. So gentlemen, thank you for coming on. Appreciate you coming on remotely. >> Thanks for having us. >> Thank you for having us, John. >> So Clive take us through real quickly. Just take a minute to describe what is the Digital Earth Africa Project. What are the problems, that you're aiming to solve? >> Well, we're really aiming to provide, actionable data to governments, and organization around Africa, by providing satellite imagery, in an easy to use format, and doing that on the cloud, that serves countries throughout Africa. >> And just from a cloud perspective, give us a quick taste of what's going on, just with the tech, it's on Amazon. You got a little satellite action. Is there ground station involved? Give us a little bit more color around, you know, what's the scope of the project. >> Yeah, so, historically speaking you'd have to process satellite imagery down link it, and then do some heavy heavy lifting, around the processing of the data. Digital Earth Africa was built, from the experiences from Digital Earth Australia, originally developed by a Geo-sciences Australia and they use container services for Kubernetes's called Elastic Kubernetes Service to spin up virtual machines, which we are required to process the raw satellite imagery, into a format called a Cloud Optimized GeoTIFF. This format is used to store very large volumes of data in a format that's really easy to query. So, organizations can just use NHTTP get range request. Just a query part of the file, that they're interested in, which means, the results are served much, much quicker, from much, much better overall experience, under the hood, the store where the data is stored in the Amazon Simple Storage Service, which is S3, and the Metadata Index in a Relational Database Service, that runs the Open Data CUBE Library, which is allows Digital Earth Africa, to store this data in both space and time. >> It's interesting. I just did a, some interviews last week, on a symposium on space and cybersecurity, and we were talking about , the impact of satellites and GPS and just the overall infrastructure shift. And it's just another part of the edge of the network. Aditya, I want to get your thoughts on this, and your reaction to the Digital Earth, cause you're an advisor. Let's zoom out. What's the impact of people's lives? Give us a quick overview, of how you see it playing out because, explaining to someone, who doesn't know anything about the project, like, okay what is it about, and how does it actually impact people? >> Sure. So, you know, as, as Clive mentioned, I mean there's, there's definitely a, a digital infrastructure behind Digital Earth Africa, in a way that it's going to be able to serve free and open satellite data. And often the, the issue around satellite data, especially within the context of Africa, and other parts of the world is that there's a level of capacity that's required, in order to be able to use that data. But there's also all kinds of access issues, because, traditionally satellite data is heavy. There's the old model of being able to download the data and then being able to do something with it. And then often about 80% of the time, that you spend on satellite data is spent, just pre processing the data, before you can actually, do any of the fun analysis around it, that really sort of impacts the kinds of decisions and actions that you're looking for. And so that's why Digital Earth Africa. And that's why this partnership, with Amazon is a fantastic partnership, because it really allows us, to be able, to scale the approach across the entire continent, make it easy for that data to be accessed and make it easier for people to be able to use that data. The way that Digital Earth Africa is being operationalized, is that we're not just looking at it, from the perspective of, let's put another infrastructure into Africa. We want this program, and it is a program, that we want institutionalized within Africa itself. One that leverages expertise across the continent, and one that brings in organizations across the continent to really sort of take the leadership and ownership of this program as it moves forward. The idea of it is that, once you're able to have this information, being able to address issues like food security, climate change, coastal resilience, land degradation where illegal mining is, where is the water? We want to be able to do that, in a way that it's really looking at what are the national development priorities within the countries themselves, and how does it also then support regional and global frameworks like Africa's Agenda 2063 and the sustainable development goals. >> No doubt in my mind, obviously, is that huge benefits to these kinds of technologies. I want to also just ask you, as a follow up is a huge space race going on, right now, explosion of availability of satellite data. And again, more satellites going up, There's more congestion, more contention. Again, we had a big event on that cybersecurity, and the congestion issue, but, you know, satellite data was power everyone here in the United States, you want an Uber, you want Google Maps you've got your everywhere with GPS, without it, we'd be kind of like (laughing), wondering what's going on. How do we even vote these days? So certainly an impact, but there's a huge surge of availability, of the use of satellite data. How do you explain this? And what are some of the challenges, from the data side that's coming, from the Digital Earth Africa project that you guys hope to resolve? >> Sure. I mean, that's a great question. I mean, I think at one level, when you're looking at the space race right now, satellites are becoming cheaper. They're becoming more efficient. There's increased technology now, on the types of sensors that you can deploy. There's companies like Planet, that are really revolutionizing how even small countries are able to deploy their own satellites, and the constellation that they're putting forward, in terms of the frequency by which, you're able to get data, for any given part of the earth on a daily basis, coupled with that. And you know, this is really sort of in climbs per view, but the cloud computing capabilities, and overall computing power that you have today, then what you had 10 years, 15 years ago is so vastly different. What used to take weeks to do before, for any kind of analysis on satellite data, which is heavy data now takes, you know, minutes or hours to do. So when you put all that together, again, you know, I think it really speaks, to the power of this partnership with Amazon and really, what that means, for how this data is going to be delivered to Africa, because it really allows for the scalability, for anything that happens through Digital Earth Africa. And so, for example, one of the approaches, that we're taking us, we identify what the priorities, and needs are at the country level. Let's say that it's a land degradation, there's often common issues across countries. And so when we can take one particular issue, tested with additional countries, and then we can scale it across the whole continent because the infrastructure is there for the whole continent. >> Yeah. That's a great point. So many storylines here. We'll get to climb in a second on sustainability. And I want to talk about the Open Data Platform. Obviously, open data, having data is one thing, but now train data, and having more trusted data becomes a huge issue. Again, I want to dig into that for a second, but, Clive, I want to ask you, first, what region are we in? I mean, is this, you guys actually have a great, first of all, we've been covering the region expansion from Bahrain all the way, as moves around the world, probably soon in space. There'll be a region Amazon space station region probably, someday in the future but, what region are you running the project out of? Can you, and why is it important? Can you share the update on the regional piece? >> Well, we're very pleased, that Digital Earth Africa, is using the new Africa region in Cape Town, in South Africa, which was launched in April of this year. It's one of 24 regions around the world and we have another three new regions announced, what this means for users of Digital Earth Africa is, they're able to use region closest to them, which gives them the best user experience. It's the, it's the quickest connection for them. But more importantly, we also wanted to use, an African solution, for African people and using the Africa region in Cape Town, really aligned with that thinking. >> So, localization on the data, latency, all that stuff is kind of within the region, within country here. Right? >> That's right, Yeah >> And why is that important? Is there any other benefits? Why should someone care? Obviously, this failover option, I mean, in any other countries to go to, but why is having something, in that region important for this project? >> Well, it comes down to latency for the, for the users. So, being as close to the data, as possible is, is really important, for the user experience. Especially when you're looking at large data sets, and big queries. You don't want to be, you don't want to be waiting a long lag time, for that query to go backwards and forwards, between the user and the region. So, having the data, in the Africa region in Cape Town is important. >> So it's about the region, I love when these new regions rollout from Amazon, Cause obviously it's this huge buildup CapEx, in this huge data center servers and everything. Sustainability is a huge part of the story. How does the sustainability piece fit into the, the data initiative supported in Africa? Can you share some updates on that? >> Well, this, this project is also closely aligned with the, Amazon Sustainability Data Initiative, which looks to accelerate sustainability research. and innovation, really by minimizing the cost, and the time required to acquire, and analyze large sustainability datasets. So the initiative supports innovators, and researchers with the data and tools, and, and technical experience, that they need to move sustainability, to the next level. These are public datasets and publicly available to anyone. In addition, to that, the initiative provides cloud grants to those who are interested in exploring, exploring the use of AWS technology and scalable infrastructure, to serve sustainability challenges, of this nature. >> Aditya, I want to hear your thoughts, on this comment that Clive made around latency, and certainly having a region there has great benefits. You don't need to hop on that. Everyone knows I'm a big fan of the regional model, but it brings up the issue, of what's going on in the country, from an infrastructure standpoint, a lot of mobility, a lot of edge computing. I can almost imagine that. So, so how do you see that evolving, from a business standpoint, from a project standpoint data standpoint, can you comment and react to that edge, edge angle? >> Yeah, I mean, I think, I think that, the value of an open data infrastructure, is that, you want to use that infrastructure, to create a whole data ecosystem type of an approach. And so, from the perspective of being able. to make this data readily accessible, making it efficiently accessible, and really being able to bring industry, into that ecosystem, because of what we really want as we, as the program matures, is for this program, to then also instigate the development of new businesses, entrepreneurship, really get the young people across Africa, which has the largest proportion of young people, anywhere in the world, to be engaged around what you can do, with satellite data, and the types of businesses that can be developed around it. And, so, by having all of our data reside in Cape Town on the continent there's obviously technical benefits, to that in terms of, being able to apply the data, and create new businesses. There's also a, a perception in the fact that, the data that Digital Earth Africa is serving, is in Africa and residing in Africa which does have, which does go a long way. >> Yeah. And that's a huge value. And I can just imagine the creativity cloud, if you can comment on this open data platform idea, because some of the commentary that we've been having on The CUBE here, and all around the world is data's great. We all know we're living with a lot of data, you starting to see that, the commoditization and horizontal scalability of data, is one thing, but to put it into software defined environments, whether, it's an entrepreneur coding up an app, or doing something to share some transparency, around some initiatives going on within the region or on the continent, it's about trusted data. It's about sharing algorithms. AI is also a consumer of data, machines consume data. So, it's not just the technology data, is part of this new normal. What's this Open Data Platform, And how does that translate into value in your opinion? >> I, yeah. And you know, when, when data is shared on, on AWS anyone can analyze it and build services on top of it, using a broad range of compute and data to data analytics products, you know, things like Amazon EC2, or Lambda, which is all serverless compute, to things like Amazon Elastic MapReduce, for complex extract and transformation processes, but sharing data in the cloud, lets users, spend more time on the data analysis, rather than, than the data acquisition. And researchers can analyze data shared on AWS, without needing to pay to store their own copy, which is what the Open Data Platform provides. You only have to pay for the compute that you use and you don't need to purchase storage, to start a new project. So the registry of the open data on AWS, makes it easy to find those datasets, but, by making them publicly available through AWS services. And when you share, share your data on AWS, you make it available, to a large and growing community of developers, and startups, and enterprises, all around the world. And you know, and we've been talking particularly around, around Africa. >> Yeah. So it's an open source model, basically, it's free. You don't, it doesn't cost you anything probably, just started maybe down the road, if it gets heavy, maybe to charging but the most part easy for scientists to use and then you're leveraging it into the open, contributing back. Is that right? >> Yep. That's right. To me getting, getting researchers, and startups, and organizations growing quickly, without having to worry about the data acquisition, they can just get going and start building. >> I want to get back to Aditya, on this skill gap issue, because you brought up something that, I thought was really cool. People are going to start building apps. I'm going to start to see more innovation. What are the needs out there? Because we're seeing a huge onboarding of new talent, young talent, people rescaling from existing jobs, certainly COVID accelerated, people looking for more different kinds of work. I'm sure there's a lot of (laughing) demand to, to do some innovative things. The question I always get, and want to get your reaction is, what are the skills needed to, to get involved, to one contribute, but also benefit from it, whether it's the data satellite, data or just how to get involved skill-wise >> Sure. >> Yes. >> Yeah. So most recently we've created a six week training course. That's really kind of taken users from understanding, the basics of Earth Observation Data, to how to work, with Python, to how to create their own Jupyter notebooks, and their own Use cases. And so there's a, there's a wide sort of range of skill sets, that are required depending on who you are because, effectively, what we want to be able to do is get everyone from, kind of the technical user, that might have some remote sensing background to the developer, to the policy maker, and decision maker, to understand the value of this infrastructure, whether you're the one who's actually analyzing the data. If you're the one who's developing new applications, or you're taking that information from a managerial or policy level discussion to actually deliver the action and sort of impact that you're looking for. And so, you know, in, in that regard, we're working with ITC in the Netherlands and again, with institutions across Africa, that already have a mandate, and expertise in this particular area, to create a holistic capacity development program, that will address all of those different factors. >> So I guess the follow up question I want to have is, how do you ensure the priorities of Africa are addressed, as part of this program? >> Yeah, so, we are, we've created a governance model, that really is both top down, and bottom up. At the bottom up level, We have a technical advisory committee, that has over 15 institutions, many of which are based across Africa, that really have a good understanding of the needs, the priorities, and the mandate for how to work with countries. And at the top down level, we're developing a governing board, that will be inclusive, of the key continental level institutions, that really provide the political buy-in, the sustainability of the program, and really provide overall guidance. And within that, we're also creating an operational models, such that these institutions, that do have the capacity to support the program, they're actually the ones, who are also going to be supporting, the implementation of the program itself. >> And there's been some United Nations, sustained development projects all kinds of government involvement, around making sure certain things would happen, within the country. Can you just share, some of the highlights, or some of the key initiatives, that are going on, that you're supporting, to make it a better, better world? >> Yeah. So this is, this program is very closely aligned to a sustainable development agenda. And so looking after, looking developing methods, that really address, the sustainable development goals as one facet, in Africa, there's another program looking overall, overall national development priorities and sustainability called the Agenda 2063. And really like, I think what it really comes down to this, this wouldn't be happening, without the country level involvement themselves. So, this started with five countries, originally, Senegal, Ghana, Kenya, Tanzania, and the government of Kenya itself, has really been, a kind of a founding partner for, how Digital Earth Africa and it's predecessor of Africa Regional Data Cube, came to be. And so without high level support, and political buying within those governments, I mean, it's really because of that. That's why we're, we're where we are. >> I need you to thank you for coming on and sharing that insight. Clive will give you the final word, for the folks watching Digital Earth Africa, processes, petabytes of data. I mean the satellite data as well, huge, you mentioned it's a new region. You're running Kubernetes, Elastic Kubernetes Service, making containers easy to use, pay as you go. So you get cutting edge, take the one minute to, to share why this region's cutting edge. Does it have the scale of other regions? What should they know about AWS, in Cape Town, for Africa's new region? Take a minute to, to put plugin. >> Yeah, thank you for that, John. So all regions are built in the, in the same way, all around the world. So they're built for redundancy and reliability. They typically have a minimum of three, what we call Availability Zones. And each one is a contains a, a cluster of, of data centers, and all interconnected with fast fiber. So, you know, you can survive, you know, a failure with with no impact to your services. And the Cape Town region is built in exactly the same the same way, we have most of the services available in the, in the Cape Town region, like most other regions. So, as a user of AWS, you, you can have the confidence that, You can deploy your services and workloads, into AWS and run it in the same in the same way, with the same kind of speed, and the same kind of support, and infrastructure that's backing any region, anywhere else in the world. >> Well great. Thanks for that plug, Aditya, thank you for your insight. And again, innovation follows cloud computing, whether you're building on top of it as a startup a government or enterprise, or the big society better, in this case, the Digital Earth Africa project. Great. A great story. Thank you for sharing. I appreciate it. >> Thank you for having us. >> Thank you for having us, John >> I'm John Furrier with, The CUBE, virtual remote, not in person this year. I hope to see you next time in person. Thanks for watching. (upbeat music) (upbeat music decreases)

Published Date : Oct 20 2020

SUMMARY :

Narrator: From around the globe. and all the different events What are the problems, and doing that on the cloud, you know, and the Metadata Index in a and just the overall infrastructure shift. and other parts of the world and the congestion issue, and the constellation that on the regional piece? It's one of 24 regions around the world So, localization on the data, in the Africa region in So it's about the region, and the time required to acquire, fan of the regional model, and the types of businesses and all around the world is data's great. the compute that you use it into the open, about the data acquisition, What are the needs out there? kind of the technical user, and the mandate for how or some of the key initiatives, and the government of Kenya itself, I mean the satellite data as well, and the same kind of support, or the big society better, I hope to see you next time in person.

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Scott Mullins, AWS | AWS Summit New York 2019


 

>> Narrator: Live from New York, it's theCube! Covering AWS Global Summit 2019, brought to you by Amazon Web Services. >> Welcome back, we're here at the Javits Center in New York City for AWS Summit, I'm Stu Miniman, my cohost is Corey Quinn and happy to welcome to the program Scott Mullins, who's the head of Worldwide Financial Services Business Development with Amazon Web Services based here in The Big Apple, thanks so much for joining us. >> Thanks for having me, Stu, thanks for having me, Corey. >> All right so we had obviously financial services big location here in New York City. We just had FINRA on our program, had a great conversation about how they're using AWS for their environments, but give us a thumbnail if you will about your business, your customers and what you're seeing there. >> Sure, we're working with financial institutions all the way from the newest FinTech startups, all the way to organizations like FINRA, the largest exchanges and brokers dealers like Nasdaq, as well as insurers and the largest banks. And I've been here for five years and in that time period I actually went from being a customer speaking at the AWS Summit here in the Javits Center on stage like Steve Randich was today to watching more and more financial institutions coming forward, talking about their use in the cloud. >> Yeah before we get into technology, one of the biggest trends of moving to cloud is I'm moving from CapEx more to OpEx and oh my gosh there's uncertainty because I'm not locking in some massive contract that I'm paying up front or depreciating over five years but I've got flexibility and things are going to change. I'm curious what you're seeing as the financial pieces of how people both acquire and keep on the books what they're doing. >> Yeah it can be a little bit different, right, then what most people are used to. They're used to kind of that muscle memory and that rhythm of how you procured technology in the past and there can be a stage of adjustment, but cost isn't really the thing that people I think look to the most when it comes to cloud today, it's all about agility and FINRA is a great example. Steve has talked about over and over again over the last several years how they were able to gain such business agility and actually to do more, the fact that they're now processing 155 billion market events every night and able to run all their surveillance routines. That's really indicative of the value that people are looking for. Being able to actually get products to market faster and reducing development cycles from 18 months to three months, like Allianz, one of our customers over in Europe has been able to do. Being able to go faster I think actually trumps cost from the standpoint of what that biggest value driver that we're seeing our customers going after in financial services. >> We're starting to see such a tremendous difference as far as the people speaking at these keynotes. Once upon a time you had Netflix and folks like that on stage telling a story about how they're using cloud to achieve all these amazing things, but when you take a step back and start blinking a little bit, they fundamentally stream movies and yes, produce some awesome original content. With banks and other financial institutions if the ATM starts spitting out the wrong number, that's a different point on the spectrum of are people going to riot in the street. I'm not saying it's further along, people really like their content but it's still a different use case with a different risk profile. Getting serious companies that have world shaking impact to trust public cloud took time and we're seeing it with places like FINRA, Capital One has been very active as far as evangelizing their use of cloud. It's just been transformative. What does that look like, from being a part of that? >> Well you know it's interesting, so you know you just said it, financial services is the business of risk management. And so to get more and when you see more and more of these financial institutions coming forward and talking about their use of cloud, what that really equates to is comfort, they've got that muscle memory now, they've probably been working with us in some way, shape or form for some great period of time and so if you look at last year, you had Dean Del Vecchio from Guardian Life Insurance come out on stage at Reinvent and say to the crowd "Hey we're a 158 year old insurance company but we've now closed our data center and we're fully on AWS and we've completed the transformation of our organization". The year before you saw Goldman Sachs walk out and say "Yeah we've been working with AWS for about four years now and we're actually using them for some very interesting use cases within Goldman Sachs". And so typically what you've seen is that over the course of about a two year to sometimes a four year time period, you've got institutions that are working deeply with us, but they're not talking about it. They're gaining that muscle memory, they're putting those first use cases to begin to scale that work up and then when they're ready man, they're ready to talk about it and they're excited to talk about it. What's interesting though is today we're having this same summit that we're having here in Cape Town in Africa and we had a customer, Old Mutual, who's one of the biggest insurers there, they just started working with us in earnest back in May and they were on stage today, so you're seeing that actually beginning to happen a lot quicker, where people are building that muscle memory faster and they're much more eager to talk about it. You're going to see that trend I think continue in financial services over the next few years so I'm very excited for future summits as well as Reinvent because the stories that we're going to see are going to come faster. You're going to see more use cases that go a lot deeper in the industry and you're going to see it covering a lot more of the industry. >> It's very much not, IT is no longer what people think of in terms of Tech companies in San Francisco building products. It's banks, it's health care and these companies are transitioning to become technology companies but when your entire, as you mentioned, the entire industry becomes about risk management, it's challenging sometimes to articulate things when you're not both on the same page. I was working with a financial partner years ago at a company I worked for and okay they're a financial institution, they're ready to sign off on this but before that they'd like to tour US East one first and validate that things are as we say they are. The answer is yeah me too, sadly, you folks have never bothered to invite me to tour an active AZ, maybe next year. It's challenging to I guess meet people where they are and speak the right language, the right peace for a long time. >> And that's why you see us have a financial services team in the first place, right? Because your financial services or health care or any of the other industries, they're very unique and they have a very specific language and so we've been very focused on making sure that we speak that language that we have an understanding of what that industry entails and what's important to that industry because as you know Amazon's a very customer obsessed organization and we want to work backwards from our customers and so it's been very important for us to actually speak that language and be able to translate that to our service teams to say hey this is important to financial services and this is why, here's the context for that. I think as we've continued to see more and more financial institutions take on that technology company mindset, I'm a technology company that happens to run a bank or happens to run an exchange company or happens to run an insurance business, it's actually been easier to talk to them about the services that we offer because now they have that mindset, they're moving more towards DevOps and moving more towards agile. And so it's been really easy to actually communicate hey, here are the appropriate changes you have to make, here's how you evolve governance, here's how you address security and compliance and the different levels of resiliency that actually improve from the standpoint of using these services. >> All right so Scott, back before I did this, I worked for some large technology suppliers and there were some groups on Wall Street that have huge IT budgets and IT staffs and actually were very cutting edge in what they were building, in what they were doing and very proud of their IT knowledge, and they were like, they have some of the smartest people in the industry and they spend a ton of money because they need an edge. Talking about transactions on stock markets, if I can translate milliseconds into millions of dollars if I can act faster. So you know, those companies, how are they moving along to do the I need to build it myself and differentiate myself because of my IT versus hey I can now have access to all the services out there because you're offering them with new ones every day, but geez how do I differentiate myself if everybody can use some of these same tools. >> So that's my background as well and so you go back that and milliseconds matter, milliseconds are money, right? When it comes to trading and actually building really bespoke applications on bespoke infrastructure. So I think what we're seeing from a transitional perspective is that you still have that mindset where hey we're really good at technology, we're really good at building applications. But now it's a new toolkit, you have access to a completely new toolkit. It's almost like The Matrix, you know that scene where Neo steps into that white room and hey says "I need this" and then the shelves just show up, that's kind how it is in the cloud, you actually have the ability to leverage the latest and greatest technologies at your fingertips when you want to build and I think that's something that's been a really compelling thing for financial institutions where you don't have to wait to get infrastructure provisioned for you. Before I worked for AWS, I worked for large financial institutions as well and when we had major projects that we had to do that sometimes had a regulatory implication, we were told by our infrastructure team hey that's going to be six months before we can actually get your dev environment built so you can actually begin to develop what you need. And actually we had to respond within about thirty days and so you had a mismatch there. With the cloud you can provision infrastructure easily and you have an access to an array of services that you can use to build immediately. And that means value, that means time to market, that means time to answering questions from customers, that means really a much faster time to answering questions from regulatory agencies and so we're seeing the adoption and the embrace of those services be very large and very significant. >> It's important to make sure that the guardrails are set appropriately, especially for a risk managed firm but once you get that in place correctly, it's an incredible boost of productivity and capability, as opposed to the old crappy way of doing governance of oh it used to take six weeks to get a server in so we're going to open a ticket now whenever you want to provision an instance and it only takes four, yay we're moving faster. It feels like there's very much a right way and a wrong way to start embracing cloud technology. >> Yeah and you know human nature is to take the run book you have today and try to apply it to tomorrow and that doesn't always work because you can use that run book and you'll get down to line four and suddenly line four doesn't exist anymore because of what's happened from a technological change perspective. Yeah I think that's why things like AWS control tower and security hub, which are those guardrails, those services that we announced recently that have gone GA. We announced them a couple of weeks ago at Reinforce in Boston. Those are really interesting to financial services customers because it really begins to help automate a lot of those compliance controls and provisioning those through control tower and then monitoring those through security hub and so you've seen us focus on how do we actually make that easier for customers to do. We know that risk management, we know that governance and controls is very important in financial services. We actually offer our customers a way to look from a country specific angle, add the different countries and the rule sets and the requirements that exist in those countries and how you map those to our controls and how you map those into your own controls and all the considerations that you have, we've got them on our public website. If you went to atlas.aws right now, that's our compliance center, you could actually pick the countries you're interested in and we'll have that mapping for you. So you'll see us continue to invest in things like that to make that much easier for customers to actually deploy quickly and to evolve those governance frameworks. >> And things like with Artifact, where it's just grab whatever compliance report you need, submit it and it's done without having to go through a laborious process. It's click button, receive compliance in some cases. >> If you're not familiar with it you can go into the AWS console and you've got Artifact right there and if you need a SOC report or you need some other type of artifact, you can just download it right there through the console, yeah it's very convenient. >> Yeah so Scott you know we talked about some of the GRC pieces in place, what are you seeing trends out there kind of globally, you know GDRP was something that was on everybody's mind over the last year or so. California has new regulations that are coming in place, so anything specific in your world or just the trends that you're seeing that might impact our environments-- >> I think that the biggest trends I would point to are data analytics, data analytics, data analytics, data analytics. And on top of that obviously machine learning. You know, data is the lifeblood of financial services, it's what makes everything go. And you can look at what's happening in this space where you've got companies like Bloomberg and Refinitiv who are making their data products available on AWS so you can get B-Pipe on AWS today, you can also get the elektron platform from Refintiv and then what people are trying to do in relation to hey I want to organize my data, I want to make it much easier to actually find value in data, both either from the standpoint of regulatory reporting, as you heard Steve talk about on stage today. FINRA is building a very large data repository that they have to from the standpoint of a regulatory perspective with CAT. Broker dealers have to actually feed the CAT and so they are also worried about here in the US, how do I actually organize my data, get all the elements I have to report to CAT together and actually do that in a very efficient way. So that's a big data analytic project. Things that are helping to make that much easier are leg formations, so we came up with leg formation last year and so you've got many financial institutions that are looking at how do you make building a data leg that much easier and then how do you layer analytics on top of that, whether it's using Amazon elastic map reduce or EMR to actually run regulatory reporting jobs or how do I begin to leverage machine learning to actually make my data analytics from a standpoint of trade surveillance or fraud detection that much more enriched and actually looking for those anomalies rather than just looking for a whole bunch of false positives. So data analytics I think is what I would point to as the biggest trend and how to actually make data more useful and how to get to data insights faster. >> On the one end it seems like there's absolutely a lot of potential in this, on the other it feels in many cases with large scale data analytics, it's we have all these tools for machine learning and the rest that we can wind up passing out to you but you need to figure out what to do with them, how to make it work and it's unclear outside of a few specific use cases and I think you've alluded to a couple of those how to take in a typical business that maybe doesn't have an enormous pile of data and start applying machine learning to it in a way that makes intelligent sense. That feels right now like a storytelling failure to some extent industry wide. We're starting to see some stories emerge but it still feels a little "Gold Rush"-y to some extent. >> Yeah I would say, and my advice would be don't try to boil the ocean or don't try to boil the data leg, meaning you want to do machine learning, you've got a great amount of earnestness about that but picture use case, really hone in on what you're trying to accomplish and work backwards from that. And we offer tooling that can be really helpful in that, you know with stage maker you can train your models and you can actually make data science available to a much broader array of people than just your data scientists. And so where we see people focusing first, is where it matters to their business. So if you've got a regulatory obligation to do surveillance or fraud detection, those are great use cases to start with. How do I enhance my existing surveillance or fraud detection, so that I'm not just wading again through a sea of false positives. How do I actually reduce that workload for a human analyst using machine learning. That's a one step up and then you can go from there, you can actually continue to work deeper into the use cases and say okay how do I treat those parameters, how do I actually look for different things that I'm used to with the rules based systems. You can also look at offering more value to customers so with next best offer with Amazon Personalize, we now have encapsulated the service that we use on the amazon.com retail site as a service that we offer to customers so you don't have to build all that tooling yourself, you can actually just consume Personalize as a service to help with those personalized recommendations for customers. >> Scott, really appreciate all the updates on your customers in the financial services industry, thanks so much for joining us. >> Happy to be here guys, thanks for having me. >> All right for Corey Quinn, I'm Stu Miniman, back with more here at AWS Summit in New York City 2019, thanks as always for watching theCube.

Published Date : Jul 11 2019

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brought to you by Amazon Web Services. and happy to welcome to the program Scott Mullins, but give us a thumbnail if you will about your business, and in that time period I actually went but I've got flexibility and things are going to change. and that rhythm of how you procured technology in the past and we're seeing it with places like FINRA, And so to get more and when you see more and more but before that they'd like to tour US East one first and be able to translate that to our service teams to do the I need to build it myself and so you had a mismatch there. as opposed to the old crappy way of doing governance of and all the considerations that you have, where it's just grab whatever compliance report you need, and if you need a SOC report Yeah so Scott you know we talked about and how to actually make data more useful and the rest that we can wind up passing out to you and you can actually make data science available Scott, really appreciate all the updates back with more here at AWS Summit in New York City 2019,

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Part 1: Andre Pienaar, C5 Capital | Exclusive CUBE Conversation, December 2018


 

[Music] when welcome to the special exclusive cube conversation here in Palo Alto in our studios I'm John for your host of the cube we have a very special guest speaking for the first time around some alleged alleged accusations and also innuendo around the Amazon Web Services Jedi contract and his firm c5 capital our guest as Andre Pienaar who's the founder of c5 capital Andre is here for the first time to talk about some of the hard conversations and questions surrounding his role his firm and the story from the BBC Andre thanks for a rat for meeting with me John great to have me thank you so you're at the center of a controversy and just for the folks who know the cube know we interviewed a lot of people I've interviewed you at Amazon web sources summit Teresa Carl's event and last year I met you and bought a rein the work you're doing there so I've met you a few times so I don't know your background but I want to drill into it because I was surprised to see the BBC story come out last week that was basically accusing you of many things including are you a spy are you infiltrating the US government through the Jedi contract through Amazon and knowing c-5 capital I saw no correlation when reading your article I was kind of disturbed but then I saw I said a follow-on stories it just didn't hang together so I wanted to press you on some questions and thanks for coming in and addressing them appreciate it John thanks for having me so first thing I want to ask you is you know it has you at the center this firm c5 capital that you the founder of at the center of what looks like to be the fight for the big ten billion dollar DoD contract which has been put out to multiple vendors so it's not a single source deal we've covered extensively on silicon angle calm and the cube and the government the government Accounting Office has ruled that there are six main benefits of going with a sole provider cloud this seems to be the war so Oracle IBM and others have been been involved we've been covering that so it kind of smells like something's going along with the story and I just didn't believe some of the things I read and I want to especially about you and see five capitals so I want to dig into what the first thing is it's c5 capital involved in the Jedi contract with AWS Sean not at all we have absolutely no involvement in the Jedi contract in any way we're not a bidder and we haven't done any lobbying as has been alleged by some of the people who've been making this allegation c5 has got no involvement in the general contract we're a venture capital firm with a British venture capital firm we have the privilege of investing here in the US as a foreign investor and our focus really is on the growth and the success of the startups that we are invested in so you have no business interest at all in the deal Department of Defense Jedi contract none whatsoever okay so to take a minute to explain c5 firm I read some of the stories there and some of the things were intricate structures of c5 cap made it sound like there was like a cloak-and-dagger situation I want to ask you some hard questions around that because there's a link to a Russian situation but before we get to there I want to ask you explain what is c5 capital your mission what are the things that you're doing c5 is a is a British venture capital firm and we are focused on investing into fast-growing technology companies in three areas cloud computing cyber security and artificial intelligence we have two parts our business c5 capital which invests into late stage companies so these are companies that typically already have revenue visibility and profitability but still very fast-growing and then we also have a very early stage startup platform that look at seed state investment and this we do through two accelerators to social impact accelerators one in Washington and one in Bahrain and it's just size of money involved just sort of order magnitude how many funds do you have how is it structure again just share some insight on that is it is there one firm is there multiple firms how is it knows it work well today the venture capital business has to be very transparent it's required by compliance we are a regulated regulated firm we are regulated in multiple markets we regulated here in the US the sec as a foreign investor in london by the financial conduct authority and in Luxembourg where Afonso based by the regulatory authorities there so in the venture capital industry today you can't afford to be an opaque business you have to be transparent at all levels and money in the Western world have become almost completely transparent so there's a very comprehensive and thorough due diligence when you onboard capital called know your client and the requirements standard requirement now is that whenever you're onboard capital from investor you're gonna take it right up to the level of the ultimate beneficial ownership so who actually owns this money and then every time you invest and you move your money around it gets diligence together different regulators and in terms of disclosure and the same applies often now with clients when our portfolio companies have important or significant clients they also want to know who's behind the products and the services they receive so often our boards our board directors and a shell team also get diligence by by important clients so explain this piece about the due diligence and the cross country vetting that goes on is I think it's important I want to get it out because how long has been operating how many deals have you done you mentioned foreign investor in the United States you're doing deals in the United States I know I've met one of your portfolio companies at an event iron iron on it iron net general Keith Alexander former head of the NSA you know get to just work with him without being vetted I guess so so how long a c5 capital been in business and where have you made your investments you mentioned cross jurisdiction across countries whatever it's called I don't know that so we've been and we've been in existence for about six years now our main focus is investing in Europe so we help European companies grow globally Europe historically has been underserved by venture capital we on an annual basis we invest about twenty seven billion dollars gets invested in venture capital in Europe as opposed to several multiples of that in the US so we have a very important part to play in Europe to how European enterprise software companies grow globally other important markets for us of course are Israel which is a major center of technology innovation and and the Middle East and then the u.s. the u.s. is still the world leader and venture capital both in terms of size but also in terms of the size of the market and of course the face and the excitement of the innovation here I want to get into me early career because again timing is key we're seeing this with you know whether it's a Supreme Court justice or anyone in their career their past comes back to haunt them it appears that has for you before we get there I want to ask you about you know when you look at the kind of scope of fraud and corruption that I've seen in just on the surface of government thing the government bit Beltway bandits in America is you got a nonprofit that feeds a for-profit and then what you know someone else runs a shell corporation so there's this intricate structures and that word was used which it kind of implies shell corporations a variety of backroom kind of smokey deals going on you mentioned transparency I do you have anything to hide John in in in our business we've got absolutely nothing to hide we have to be transparent we have to be open if you look at our social media profile you'll see we are communicating with the market almost on a daily basis every time we make an investment we press release that our website is very clear about who's involved enough who our partners are and the same applies to my own personal website and so in terms of the money movement around in terms of deploying investments we've seen Silicon Valley VCS move to China get their butts handed to them and then kind of adjust their scenes China money move around when you move money around you mentioned disclosure what do you mean there's filings to explain that piece it's just a little bit so every time we make an investment into a into a new portfolio company and we move the money to that market to make the investment we have to disclose who all the investors are who are involved in that investment so we have to disclose the ultimate beneficial ownership of all our limited partners to the law firms that are involved in the transactions and those law firms in turn have applications in terms of they own anti-money laundering laws in the local markets and this happens every time you move money around so I I think that the level of transparency in venture capital is just continue to rise exponentially and it's virtually impossible to conceal the identity of an investor this interesting this BBC article has a theme of national security risk kind of gloom and doom nuclear codes as mentioned it's like you want to scare someone you throw nuclear codes at it you want to get people's attention you play the Russian card I saw an article on the web that that said you know anything these days the me2 movement for governments just play the Russian card and you know instantly can discredit someone's kind of a desperation act so you got confident of interest in the government national security risk seems to be kind of a theme but before we get into the BBC news I noticed that there was a lot of conflated pieces kind of pulling together you know on one hand you know you're c5 you've done some things with your hat your past and then they just make basically associate that with running amazon's jedi project yes which i know is not to be true and you clarified that joan ends a problem joan so as a venture capital firm focused on investing in the space we have to work with all the Tier one cloud providers we are great believers in commercial cloud public cloud we believe that this is absolutely transformative not only for innovation but also for the way in which we do venture capital investment so we work with Amazon Web Services we work with Microsoft who work with Google and we believe that firstly that cloud has been made in America the first 15 companies in the world are all in cloud companies are all American and we believe that cloud like the internet and GPS are two great boons which the US economy the u.s. innovation economy have provided to the rest of the world cloud computing is reducing the cost of computing power with 50 percent every three years opening up innovation and opportunities for Entrepreneurship for health and well-being for the growth of economies on an unprecedented scale cloud computing is as important to the global economy today as the dollar ease as the world's reserve currency so we are great believers in cloud we great believers in American cloud computing companies as far as Amazon is concerned our relationship with Amazon Amazon is very Amazon Web Services is very clear and it's very defined we participate in a public Marcus program called AWS activate through which AWS supports hundreds of accelerators around the world with know-how with mentoring with teaching and with cloud credits to help entrepreneurs and startups grow their businesses and we have a very exciting focus for our two accelerators which is on in Washington we focus on peace technology we focus on taking entrepreneurs from conflict countries like Sudan Nigeria Pakistan to come to Washington to work on campus in the US government building the u.s. Institute for peace to scale these startups to learn all about cloud computing to learn how they can grow their businesses with cloud computing and to go back to their own countries to build peace and stability and prosperity their heaven so we're very proud of this mission in the Middle East and Bahrain our focus is on on female founders and female entrepreneurs we've got a program called nebula through which we empower female founders and female entrepreneurs interesting in the Middle East the statistics are the reverse from what we have in the West the majority of IT graduates in the Middle East are fimo and so there's a tremendous talent pool of of young dynamic female entrepreneurs coming out of not only the Gulf but the whole of the MENA region how about a relation with Amazon websites outside of their normal incubators they have incubators all over the place in the Amazon put out as Amazon Web Services put out a statement that said hey you know we have a lot of relationships with incubators this is normal course of business I know here in Silicon Valley at the startup loft this is this is their market filled market playbook so you fit into that is that correct as I'm I get that that's that's absolutely correct what we what is unusual about a table insists that this is a huge company that's focused on tiny startups a table started with startups it double uses first clients with startups and so here you have a huge business that has a deep understanding of startups and focus on startups and that's enormous the attractor for us and terrific for our accelerators department with them have you at c5 Capitol or individually have any formal or conversation with Amazon employees where you've had outside of giving feedback on products where you've tried to make change on their technology make change with their product management teams engineering you ever had at c5 capital whore have you personally been involved in influencing Amazon's product roadmap outside they're just giving normal feedback in the course of business that's way above my pay grade John firstly we don't have that kind of technical expertise in C 5 C 5 steam consists of a combination of entrepreneurs like myself people understand money really well and leaders we don't have that level of technical expertise and secondly that's what one our relationship with AWS is all about our relationship is entirely limited to the two startups and making sure that the two accelerators in making sure that the startups who pass through those accelerators succeed and make social impact and as a partner network component Amazon it's all put out there yes so in in a Barren accelerator we've we formed part of the Amazon partner network and the reason why we we did that was because we wanted to give some of the young people who come through the accelerator and know mastering cloud skills an opportunity to work on some real projects and real live projects so some of our young golf entrepreneurs female entrepreneurs have been working on building websites on Amazon Cloud and c5 capital has a relationship with former government officials you funded startups and cybersecurity that's kind of normal can you explain that positioning of it of how former government if it's whether it's US and abroad are involved in entrepreneurial activities and why that is may or may not be a problem certainly is a lot of kind of I would say smoke around this conversation around coffin of interest and you can you explain intelligence what that was it so I think the model for venture capital has been evolving and increasingly you get more and more differentiated models one of the key areas in which the venture capital model is changed is the fact that operating partners have become much more important to the success of venture capital firms so operating partners are people who bring real world experience to the investment experience of the investment team and in c-five we have the privilege of having a terrific group of operating partners people with both government and commercial backgrounds and they work very actively enough firm at all levels from our decision-making to the training and the mentoring of our team to helping us understand the way in which the world is exchanging to risk management to helping uh portfolio companies grow and Silicon Valley true with that to injuries in Horowitz two founders mr. friendly they bring in operating people that have entrepreneurial skills this is the new model understand order which has been a great source of inspiration to us for our model and and we built really believe this is a new model and it's really critical for the success of venture capitals to be going forward and the global impact is pretty significant one of things you mentioned I want to get your take on is as you operate a global transaction a lots happened a lot has to happen I mean we look at the ICO market on the cryptocurrency side its kind of you know plummeting obsoletes it's over now the mood security children's regulatory and transparency becomes critical you feel fully confident that you haven't you know from a regulatory standpoint c5 capital everything's out there absolutely risk management and regulated compliance and legal as the workstream have become absolutely critical for the success of venture capital firms and one of the reasons why this becomes so important John is because the venture capital world over the last few years have changed dramatically historically all the people involved in venture capital had very familiar names and came from very familiar places over the last few years with a diversification of global economic growth we've seen it's very significant amounts of money being invest invested in startups in China some people more money will invest in startups this year in China than in the US and we've seen countries like Saudi Arabia becoming a major source of venture capital funding some people say that as much as 70% of funding rounds this year in some way or another originated from the Gulf and we've seen places like Russia beginning to take an interest in technology innovation so the venture capital world is changing and for that reason compliance and regulation have become much more important but if Russians put 200 million dollars in face book and write out the check companies bright before that when the after 2008 we saw the rise of social networking I think global money certainly has something that I think a lot of people start getting used to and I want on trill down into that a little bit we talked about this BBC story that that hit and the the follow-on stories which actually didn't get picked up was mostly doing more regurgitation of the same story but one of the things that that they focus in on and the story was you and the trend now is your past is your enemy these days you know they try to drum up stuff in the past you've had a long career some of the stuff that they've been bringing in to paint you and the light that they did was from your past so I wanted to explore that with you I know you this is the first time you've talked about this and I appreciate you taking the time talk about your early career your background where you went to school because the way I'm reading this it sounds like you're a shady character I like like I interviewed on the queue but I didn't see that but you know I'm going to pressure here for that if you don't mind I'd like to to dig into that John thank you for that so I've had the I've had the privilege of a really amazingly interesting life and at the heart of at the heart of that great adventures been people and the privilege to work with really great people and good people I was born in South Africa I grew up in Africa went to school there qualified as a lawyer and then came to study in Britain when I studied international politics when I finished my studies international politics I got head hunted by a US consulting firm called crow which was a start of a 20 years career as an investigator first in crawl where I was a managing director in the London and then in building my own consulting firm which was called g3 and all of this led me to cybersecurity because as an investigator looking into organized crime looking into corruption looking into asset racing increasingly as the years went on everything became digital and I became very interested in finding evidence on electronic devices but starting my career and CRO was tremendous because Jules Kroll was a incredible mentor he could walk through an office and call everybody by their first name any Kroll office anywhere in the world and he always took a kindly interest in the people who work for him so it was a great school to go to and and I worked on some terrific cases including some very interesting Russian cases and Russian organized crime cases just this bag of Kroll was I've had a core competency in doing investigative work and also due diligence was that kind of focus yes although Kroll was the first company in the world to really have a strong digital practice led by Alan Brugler of New York Alan established the first computer forensics practice which was all focused about finding evidence on devices and everything I know about cyber security today started with me going to school with Alan Brolin crawl and they also focused on corruption uncovering this is from Wikipedia Kroll clients help Kroll helps clients improve operations by uncovering kickbacks fraud another form of corruptions other specialty areas is forensic accounting background screening drug testing electronic investigation data recovery SATA result Omar's McLennan in 2004 for 1.9 billion mark divested Kroll to another company I'll take credit risk management to diligence investigator in Falls Church Virginia over 150 countries call Kroll was the first CRO was the first household brand name in this field of of investigations and today's still is probably one of the strongest brand names and so it was a great firm to work in and was a great privilege to be part of it yeah high-end high-profile deals were there how many employees were in Kroll cuz I'd imagine that the alumni that that came out of Kroll probably have found places in other jobs similar to yes do an investigative work like you know they out them all over the world many many alumni from Kroll and many of them doing really well and doing great work ok great so now the next question want to ask you is when you in Kroll the South Africa connection came up so I got to ask you it says business side that you're a former South African spy are you a former South African spy no John I've never worked for any government agency and in developing my career my my whole focus has been on investigations out of the Kroll London office I did have the opportunity to work in South Africa out of the Kroll London office and this was really a seminal moment in my career when I went to South Africa on a case for a major international credit-card company immediately after the end of apartheid when democracy started to look into the scale and extent of credit card fraud at the request of this guy what year was there - how old were you this was in 1995 1996 I was 25 26 years old and one of the things which this credit card company asked me to do was to assess what was the capability of the new democratic government in South Africa under Nelson Mandela to deal with crime and so I had the privilege of meeting mr. Mandela as the president to discuss this issue with him and it was an extraordinary man the country's history because there was such an openness and a willingness to to address issues of this nature and to grapple with them so he was released from prison at that time I remember those days and he became president that's why he called you and you met with him face to face of a business conversation around working on what the future democracy is and trying to look at from a corruption standpoint or just kind of in general was that what was that conversation can you share so so that so the meeting involved President Mandela and and the relevant cabinet ministers the relevant secretaries and his cabinet - responsible for for these issues and the focus of our conversation really started with well how do you deal with credit card fraud and how do you deal with large-scale fraud that could be driven by organized crime and at the time this was an issue of great concern to the president because there was bombing in Kate of a Planet Hollywood cafe where a number of people got very severely injured and the president believed that this could have been the result of a protection racket in Cape Town and so he wanted to do something about it he was incredibly proactive and forward-leaning and in an extraordinary way he ended the conversation by by asking where the Kroll can help him and so he commissioned Kroll to build the capacity of all the black officers that came out of the ANC and have gone into key government positions on how to manage organized crime investigations it was the challenge at that time honestly I can imagine apartheid I remember you know I was just at a college that's not properly around the same age as you it was a dynamic time to say the least was his issue around lack of training old school techniques because you know that was right down post-cold-war and then did what were the concerns not enough people was it just out of control was it a corrupt I mean just I mean what was the core issue that Nelson wanted to hire Kroll and you could work his core issue was he wanted to ensure the stability of South Africa's democracy that was his core focus and he wanted to make South Africa an attractive place where international companies felt comfortable and confident in investing and that was his focus and he felt that at that time because so many of the key people in the ANC only had training in a cold war context that there wasn't a Nessy skill set to do complex financial or more modern investigations and it was very much focused he was always the innovator he was very much focused on bringing the best practices and the best investigative techniques to the country he was I felt in such a hurry that he doesn't want to do this by going to other governments and asking for the help he wanted to Commission it himself and so he gave he gave a crawl with me as the project leader a contract to do this and my namesake Francois Pienaar has become very well known because of the film Invictus and he's been he had the benefit of Mandela as a mentor and as a supporter and that changed his career the same thing happened to me so what did he actually asked you to do was it to train build a force because there's this talk that and was a despite corruption specifically it was it more both corruption and or stability because they kind of go hand in hand policy and it's a very close link between corruption and instability and and president Ellis instructions were very clear to Crowley said go out and find me the best people in the world the most experienced people in the world who can come to South Africa and train my people how to fight organized crime so I went out and I found some of the best people from the CIA from mi6 the British intelligence service from the Drug Enforcement Agency here in the US form officers from the Federal Bureau of Investigation's detectives from Scotland Yard prosecutors from the US Justice Department and all of them for a number of years traveled to South Africa to train black officers who were newly appointed in key roles in how to combat organized crime and this was you acting as an employee he had crow there's not some operative this is he this was me very much acting as a as an executive and crow I was the project leader Kroll was very well structured and organized and I reported to the chief executive officer in the London office nor Garret who was the former head of the CIA's Near East Division and Nelson Mandela was intimately involved in this with you at Krall President Mandela was the ultimate support of this project and he then designated several ministers to work on it and also senior officials in the stories that had been put out this past week they talked about this to try to make it sound like you're involved on two sides of the equation they bring up scorpions was this the scorpions project that they referred to so it was the scorpions scorpion sounds so dangerous and a movie well there's a movie a movie does feature this so at the end of the training project President Mandela and deputy president Thabo Mbeki who subsequently succeeded him as president put together a ministerial committee to look at what should they do with the capacity that's been built with this investment that they made because for a period of about three years we had all the leading people the most experienced people that have come out of some of the best law enforcement agencies and some of the best intelligence services come and trained in South Africa and this was quite this was quite something John because many of the senior officers in the ANC came from a background where they were trained by the opponents of the people came to treat trained them so so many of them were trained by the Stasi in East Germany some of them were trained by the Russian KGB some of them were trained by the Cubans so we not only had to train them we also had to win their trust and when we started this that's a diverse set of potential dogma and or just habits a theory modernised if you will right is that what the there was there was a question of of learning new skills and there was a question about also about learning management capabilities there was also question of learning the importance of the media for when you do difficult and complex investigations there was a question about using digital resources but there was also fundamentally a question of just building trust and when we started this program none of the black officers wanted to be photographed with all these foreign trainers who were senior foreign intelligence officers when we finished that everyone wanted to be in the photograph and so this was a great South African success story but the President and the deputy president then reflected on what to do with his capacity and they appointed the ministerial task force to do this and we were asked to make recommendations to this Minister ministerial task force and one of the things which we did was we showed them a movie because you referenced the movie and the movie we showed them was the untouchables with Kevin Costner and Sean Connery which is still one of my favorite and and greatest movies and the story The Untouchables is about police corruption in Chicago and how in the Treasury Department a man called Eliot Ness put together a group of officers from which he selected from different places with clean hands to go after corruption during the Probie and this really captured the president's imagination and so he said that's what he want and Ella yeah okay so he said della one of the untouchables he wanted Eliot Ness exactly Al Capone's out there and and how many people were in that goodness so we asked that we we established the government then established decided to establish and this was passed as a law through Parliament the director of special operations the DSO which colloquy became known as the scorpions and it had a scorpion as a symbol for this unit and this became a standalone anti-corruption unit and the brilliant thing about it John was that the first intake of scorpion officers were all young black graduates many of them law graduates and at the time Janet Reno was the US Attorney General played a very crucial role she allowed half of the first intake of young cratchits to go to Quantico and to do the full FBI course in Quantico and this was the first group of foreign students who've ever been admitted to Quantico to do the full Quantico were you involved at what score's at that time yes sir and so you worked with President Mandela yes the set of the scorpions is untouchable skiing for the first time as a new democracy is emerging the landscape is certainly changing there's a transformation happening we all know the history laugh you don't watch Invictus probably great movie to do that you then worked with the Attorney General United States to cross-pollinate the folks in South Africa black officers law degrees Samar's fresh yes this unit with Quantico yes in the United States I had the privilege of attending the the graduation ceremony of the first of South African officers that completed the Quantico course and representing crow they on the day you had us relationships at that time to crawl across pollen I had the privilege of working with some of the best law enforcement officers and best intelligence officers that has come out of the u.s. services and they've been tremendous mentors in my career they've really shaped my thinking they've shaped my values and they've they've shaved my character so you're still under 30 at this time so give us a is that where this where are we in time now just about a 30 so you know around the nine late nineties still 90s yeah so client-server technologies there okay so also the story references Leonard McCarthy and these spy tapes what is this spy tape saga about it says you had a conversation with McCarthy me I'm thinking that a phone tap explain that spy tape saga what does it mean who's Lennon McCarthy explain yourself so so so Leonard McCarthy it's a US citizen today he served two terms as the vice president for institutional integrity at the World Bank which is the world's most important anti-corruption official he started his career as a prosecutor in South Africa many years ago and then became the head of the economic crimes division in the South African Justice Department and eventually became the head of the scorpions and many years after I've left Kroll and were no longer involved in in the work of the scorpions he texted me one evening expressing a concern and an anxiety that I had about the safety of his family and I replied to him with two text messages one was a Bible verse and the other one was a Latin saying and my advice name was follow the rule of law and put the safety of your family first and that was the advice I gave him so this is how I imagined the year I think of it the internet was just there this was him this was roundabout 2000 December 2007 okay so there was I phone just hit so text messaging Nokia phones all those big yeah probably more text message there so you sitting anywhere in London you get a text message from your friend yep later this past late tonight asking for help and advice and I gave him the best advice I can he unfortunately was being wiretapped and those wiretaps were subsequently published and became the subject of much controversy they've now been scrutinized by South Africa's highest court and the court has decided that those wiretaps are of no impact and of importance in the scheme of judicial decision-making and our unknown provenance and on and on unknown reliability they threw it out basically yeah they're basically that's the president he had some scandals priors and corruption but back to the tapes you the only involvement on the spy tapes was friend sending you a text message that says hey I'm running a corruption you know I'm afraid for my life my family what do I do and you give some advice general advice and that's it as there was there any more interactions with us no that's it that's it okay so you weren't like yeah working with it hey here's what we get strategy there was nothing that going on no other interactions just a friendly advice and that's what they put you I gave him my I gave him my best advice when you when you work in when you work as an investigator very much as and it's very similar in venture capital it's all about relationships and you want to preserve relationships for the long term and you develop deep royalties to its people particularly people with whom you've been through difficult situations as I have been with Leonard much earlier on when I was still involved in Kroll and giving advice to South African government on issues related to the scorpius so that that has a lot of holes and I did think that was kind of weird they actually can produce the actual tax I couldn't find that the spy tapes so there's a spy tape scandal out there your name is on out on one little transaction globbed on to you I mean how do you feel about that I mean you must've been pretty pissed when you saw that when you do it when when you do when you do investigative work you see really see everything and all kinds of things and the bigger the issues that you deal with the more frequently you see things that other people might find unusual I are you doing any work right now with c5 at South Africa and none whatsoever so I've I retired from my investigative Korea in 2014 I did terrific 20 years as an investigator during my time as investigator I came to understood the importance of digital and cyber and so at the end of it I saw an opportunity to serve a sector that historically have been underserved with capital which is cyber security and of course there are two areas very closely related to cyber security artificial intelligence and cloud and that's why I created c5 after I sold my investigator firm with five other families who equally believed in the importance of investing private capital to make a difference invest in private capital to help bring about innovation that can bring stability to the digital world and that's the mission of c-5 before I get to the heart news I want to drill in on the BBC stories I think that's really the focal point of you know why we're talking just you know from my standpoint I remember living as a young person in that time breaking into the business you know my 20s and 30s you had Live Aid in 1985 and you had 1995 the internet happened there was so much going on between those that decade 85 to 95 you were there I was an American so I didn't really have a lot exposure I did some work for IBM and Europe in 1980 says it's co-op student but you know I had some peak in the international world it must been pretty dynamic the cross-pollination the melting pot of countries you know the Berlin Wall goes down you had the cold war's ending you had apartheid a lot of things were going on around you yes so in that dynamic because if if the standard is you had links to someone you know talked about why how important it was that this melting pot and how it affected your relationships and how it looks now looking back because now you can almost tie anything to anything yes so I think the 90s was one of the most exciting periods of time because you had the birth of the internet and I started working on Internet related issues yet 20 million users today we have three and a half billion users and ten billion devices unthinkable at the time but in the wake of the internet also came a lot of changes as you say the Berlin Wall came down democracy in South Africa the Oslo peace process in the time that I worked in Kroll some of them made most important and damaging civil wars in Africa came to an end including the great war in the Congo peace came to Sudan and Angola the Ivory Coast so a lot of things happening and if you have a if you had a an international career at that time when globalization was accelerating you got to no a lot of people in different markets and both in crow and in my consulting business a key part of what it but we did was to keep us and Western corporations that were investing in emerging markets safe your credibility has been called in questions with this article and when I get to in a second what I want to ask you straight up is it possible to survive in the international theatre to the level that you're surviving if what they say is true if you if you're out scamming people or you're a bad actor pretty much over the the time as things get more transparent it's hard to survive right I mean talk about that dynamic because I just find it hard to believe that to be successful the way you are it's not a johnny-come-lately firms been multiple years operating vetted by the US government are people getting away in the shadows is it is is it hard because I almost imagine those are a lot of arbitrage I imagine ton of arbitrage that you that are happening there how hard or how easy it is to survive to be that shady and corrupt in this new era because with with with investigated with with intelligence communities with some terrific if you follow the money now Bitcoin that's a whole nother story but that's more today but to survive the eighties and nineties and to be where you are and what they're alleging I just what's your thoughts well to be able to attract capital and investors you have to have very high standards of governance and compliance because ultimately that's what investors are looking for and what investors will diligence when they make an investment with you so to carry the confidence of investors good standards of governance and compliance are of critical importance and raising venture capital and Europe is tough it's not like the US babe there's an abundance of venture capital available it's very hard Europe is under served by capital the venture capital invested in the US market is multiple of what we invest in Europe so you need to be even more focused on governance and compliance in Europe than you would be perhaps on other markets I think the second important point with Gmail John is that technology is brought about a lot of transparency and this is a major area of focus for our piece tech accelerator where we have startups who help to bring transparency to markets which previously did not have transparency for example one of the startups that came through our accelerator has brought complete transparency to the supply chain for subsistence farmers in Africa all the way to to the to the shelf of Walmart or a big grocery retailer in in the US or Europe and so I think technology is bringing a lot more more transparency we also have a global anti-corruption Innovation Challenge called shield in the cloud where we try and find and recognize the most innovative corporations governments and countries in the space so let's talk about the BBC story that hit 12 it says is a US military cloud the DoD Jedi contractor that's coming to award the eleventh hour safe from Russia fears over sensitive data so if this essentially the headline that's bolded says a technology company bidding for a Pentagon contract that's Amazon Web Services to store sensitive data has close partnerships with a firm linked to a sanctioned Russian oligarch the BBC has learned goes on to essentially put fear and tries to hang a story that says the national security of America is at risk because of c5u that's what we're talking about right now so so what's your take on this story I mean did you wake up and get an email said hey check out the BBC you're featured in and they're alleging that you have links to Russia and Amazon what Jon first I have to go I first have to do a disclosure I've worked for the BBC as an investigator when I was in Kroll and in fact I let the litigation support for the BBC in the biggest libel claim in British history which was post 9/11 when the BBC did a broadcast mistakenly accusing a mining company in Africa of laundering money for al-qaeda and so I represented the BBC in this case I was the manager hired you they hired me to delete this case for them and I'm I helped the BBC to reduce a libel claim of 25 million dollars to $750,000 so I'm very familiar with the BBC its integrity its standards and how it does things and I've always held the BBC in the highest regard and believed that the BBC makes a very important contribution to make people better informed about the world so when I heard about the story I was very disappointed because it seemed to me that the BBC have compromised the independence and the independence of the editorial control in broadcasting the story the reason why I say that is because the principal commentator in this story as a gentleman called John Wheeler who's familiar to me as a someone who's been trolling our firm on internet for the last year making all sorts of allegations the BBC did not disclose that mr. Weiler is a former Oracle executive the company that's protesting the Jedi bidding contract and secondly that he runs a lobbying firm with paid clients and that he himself often bid for government contracts in the US government context you're saying that John Wheeler who's sourced in the story has a quote expert and I did check him out I did look at what he was doing I checked out his Twitter he seems to be trying to socialise a story heavily first he needed eyes on LinkedIn he seems to be a consultant firm like a Beltway yes he runs a he runs a phone called in interoperability Clearing House and a related firm called the IT acquisition Advisory Council and these two organizations work very closely together the interoperability Clearing House or IC H is a consulting business where mr. Weiler acts for paying clients including competitors for this bidding contract and none of this was disclosed by the BBC in their program the second part of this program that I found very disappointing was the fact that the BBC in focusing on the Russian technology parks cocuwa did not disclose the list of skok of our partners that are a matter of public record on the Internet if you look at this list very closely you'll see c5 is not on there neither Amazon Web Services but the list of companies that are on there are very familiar names many of them competitors in this bidding process who acted as founding partners of skok about Oracle for example as recently as the 28th of November hosted what was described as the largest cloud computing conference in Russia's history at Skolkovo this is the this is the place which the BBC described as this notorious den of spies and at this event which Oracle hosted they had the Russian presidential administration on a big screen as one of their clients in Russia so some Oracle is doing business in Russia they have like legit real links to Russia well things you're saying if they suddenly have very close links with Skolkovo and so having a great many other Khayyam is there IBM Accenture cisco say Microsoft is saying Oracle is there so Skolkovo has a has a very distinguished roster of partners and if the BBC was fair and even-handed they would have disclosed us and they would have disclosed the fact that neither c5 nor Amazon feature as Corcovado you feel that the BBC has been duped the BBC clearly has been duped the program that they broadcasted is really a parlor game of six degrees of separation which they try to spun into a national security crisis all right so let's tell us John while ago you're saying John Wyler who's quoted in the story as an expert and by the way I read in the story my favorite line that I wanted to ask you on was there seems to be questions being raised but the question is being raised or referring to him so are you saying that he is not an expert but a plant for the story what's what's his role he's saying he works for Oracle or you think do you think he's being paid by Oracle like I can't comment on mr. Wireless motivation what strikes me is the fact that is a former Oracle executive what's striking is that he clearly on his website for the IC H identifies several competitors for the Jedi business clients and that all of this should have been disclosed by the BBC rather than to try and characterize and portray him as an independent expert on this story well AWS put out a press release or a blog post essentially hum this you know you guys had won it we're very clear and this I know it goes to the top because that's how Amazon works nothing goes out until it goes to the top which is Andy chassis and the senior people over there it says here's the relationship with c5 and ATS what school you use are the same page there but also they hinted the old guard manipulation distant I don't think they use the word disinformation campaign they kind of insinuate it and that's what I'm looking into I want to ask you are you part are you a victim of a disinformation campaign do you believe that you're not a victim being targeted with c5 as part of a disinformation campaign put on by a competitor to AWS I think what we've seen over the course of this last here is an enormous amount of disinformation around this contract and around this bidding process and they've a lot of the information that has been disseminated has not only not been factual but in some cases have been patently malicious well I have been covering Amazon for many many years this guy Tom Wyler is in seems to be circulating multiple reports invested in preparing for this interview I checked Vanity Fair he's quoted in Vanity Fair he's quoted in the BBC story and there's no real or original reporting other than those two there's some business side our article which is just regurgitating the Business Insider I mean the BBC story and a few other kind of blog stories but no real original yes no content don't so in every story that that's been written on this subject and as you say most serious publication have thrown this thrown these allegations out but in the in those few instances where they've managed to to publish these allegations and to leverage other people's credibility to their advantage and leverage other people's credibility for their competitive advantage John Wheeler has been the most important and prominent source of the allegations someone who clearly has vested commercial interests someone who clearly works for competitors as disclosed on his own website and none of this has ever been surfaced or addressed I have multiple sources have confirmed to me that there's a dossier that has been created and paid for by a firm or collection of firms to discredit AWS I've seen some of the summary documents of that and that is being peddled around to journalists we have not been approached yet I'm not sure they will because we actually know the cloud what cloud computing is so I'm sure we could debunk it by just looking at it and what they were putting fors was interesting is this an eleventh-hour a desperation attempt because I have the Geo a report here that was issued under Oracle's change it says there are six conditions why we're looking at one sole cloud although it's not a it's a multiple bid it's not an exclusive to amazon but so there's reasons why and they list six service levels highly specialized check more favorable terms and conditions with a single award expected cause of administration of multiple contracts outweighs the benefits of multiple awards the projected orders are so intricately related that only a single contractor can reasonably be perform the work meaning that Amazon has the only cloud that can do that work now I've reported on the cube and it's looking angle that it's true there's things that other clouds just don't have anyone has private they have the secret the secret clouds the total estimated value of the contract is less than the simplified acquisition threshold or multiple awards would not be in the best interest this is from them this is a government report so it seems like there's a conspiracy against Amazon where you are upon and in in this game collect you feel that collateral damage song do you do you believe that to be true collateral damage okay well okay so now the the John Wheeler guys so investigate you've been an investigator so you mean you're not you know you're not a retired into this a retired investigator you're retired investigated worked on things with Nelson Mandela Kroll Janet Reno Attorney General you've vetted by the United States government you have credibility you have relationships with people who have have top-secret clearance all kinds of stuff but I mean do you have where people have top-secret clearance or or former people who had done well we have we have the privilege of of working with a very distinguished group of senior national security leaders as operating partisan c5 and many of them have retained their clearances and have been only been able to do so because c5 had to pass through a very deep vetting process so for you to be smeared like this you've been in an investigative has you work at a lot of people this is pretty obvious to you this is like a oh is it like a deep state conspiracy you feel it's one vendor - what is your take and what does collateral damage mean to you well I recently spoke at the mahkum conference on a session on digital warfare and one of the key points I made there was that there are two things that are absolutely critical for business leaders and technology leaders at this point in time one we have to clearly say that our countries are worth defending we can't walk away from our countries because the innovation that we are able to build and scale we're only able to do because we live in democracies and then free societies that are governed by the rule of law the second thing that I think is absolutely crucial for business leaders in the technology community is to accept that there must be a point where national interest overrides competition it must be a point where we say the benefit and the growth and the success of our country is more important to us than making commercial profits and therefore there's a reason for us either to cooperate or to cease competition or to compete in a different way what might takes a little bit more simple than that's a good explanation is I find these smear campaigns and fake news and I was just talking with Kara Swisher on Twitter just pinging back and forth you know either journalists are chasing Twitter and not really doing the original courting or they're being fed stories if this is truly a smear campaign as being fed by a paid dossier then that hurts people when families and that puts corporate interests over the right thing so I think I a personal issue with that that's fake news that's just disinformation but it's also putting corporate inches over over families and people so I just find that to be kind of really weird when you say collateral damage earlier what did you mean by that just part of the campaign you personally what's what's your view okay I think competition which is not focused on on performance and on innovation and on price points that's competition that's hugely destructive its destructive to the fabric of innovation its destructive of course to the reputation of the people who fall in the line of sight of this kind of competition but it's also hugely destructive to national interest Andrae one of the key stories here with the BBC which has holes in it is that the Amazon link which we just talked about but there's one that they bring up that seems to be core in all this and just the connections to Russia can you talk about your career over the career from whether you when you were younger to now your relationship with Russia why is this Russian angle seems to be why they bring into the Russia angle into it they seem to say that c-5 Cable has connections they call deep links personal links into Russia so to see what that so c5 is a venture capital firm have no links to Russia c5 has had one individual who is originally of Russian origin but it's been a longtime Swiss resident and you national as a co investor into a enterprise software company we invested in in 2015 in Europe we've since sold that company but this individual Vladimir Kuznetsov who's became the focus of the BBC's story was a co investor with us and the way in which we structure our investment structures is that everything is transparent so the investment vehicle for this investment was a London registered company which was on the records of Companies House not an offshore entity and when Vladimir came into this company as a co investor for compliance and regulatory purposes we asked him to make his investment through this vehicle which we controlled and which was subject to our compliance standards and completely transparent and in this way he made this investment now when we take on both investors and Co investors we do that subject to very extensive due diligence and we have a very robust and rigorous due diligence regime which in which our operating partners who are leaders of great experience play an important role in which we use outside due diligence firms to augment our own judgment and to make sure we have all the facts and finally we also compare notes with other financial institutions and peers and having done that with Vladimir Kuznetsov when he made this one investment with us we reached the conclusion that he was acting in his own right as an independent angel investor that his left renova many years ago as a career executive and that he was completely acceptable as an investor so that you think that the BBC is making an inaccurate Association the way they describe your relationship with Russia absolutely the the whole this whole issue of the provenance of capital has become of growing importance to the venture capital industry as you and I discussed earlier with many more different sources of capital coming out of places like China like Russia Saudi Arabia other parts of the world and therefore going back again to you the earlier point we discussed compliance and due diligence our critical success factors and we have every confidence in due diligence conclusions that we reached about vladimir quits net source co-investment with us in 2015 so I did some digging on c5 razor bidco this was the the portion of the company in reference to the article I need to get your your take on this and they want to get you on the record on this because it's you mentioned I've been a law above board with all the compliance no offshore entities this is a personal investment that he made Co investment into an entity you guys set up for the transparency and compliance is that true that's correct no side didn't see didn't discover this would my my children could have found this this this company was in a transparent way on the records in Companies House and and Vladimir's role and investment in it was completely on the on the public record all of this was subject to financial conduct authority regulation and anti money laundering and no your client standards and compliance so there was no great big discovery this was all transparent all out in the open and we felt very confident in our due diligence findings and so you feel very confident Oh issue there at all special purpose none whatsoever is it this is classic this is international finance yes sir so in the venture capital industry creating a special purpose vehicle for a particular investment is a standard practice in c-five we focus on structuring those special-purpose vehicles in the most transparent way possible and that was his money from probably from Russia and you co invested into this for this purpose of doing these kinds of deals with Russia well we just right this is kind of the purpose of that no no no this so in 2015 we invested into a European enterprise software company that's a strategic partner of Microsoft in Scandinavian country and we invested in amount of 16 million pounds about at the time just more than 20 million dollars and subsequent in August of that year that Amir Kuznetsov having retired for nova and some time ago in his own right as an angel investor came in as a minority invest alongside us into this investment but we wanted to be sure that his investment was on our control and subject to our compliance standards so we requested him to make his investment through our special purpose vehicle c5 raised a bit co this investment has since been realized it's been a great success and this business is going on to do great things and serve great clients it c5 taking russian money no see if I was not taking Russian money since since the onset of sanctions onboarding Russian money is just impossible sanctions have introduced complexity and have introduced regulatory risk related to Russian capital and so we've taken a decision that we will not and we can't onboard Russian capital and sanctions have also impacted my investigative career sanctions have also completely changed because what the US have done very effectively is to make sanctions a truly global regime and in which ever country are based it doesn't really matter you have to comply with US sanctions this is not optional for anybody on any sanctions regime including the most recent sanctions on Iran so if there are sanctions in place you can't touch it have you ever managed Russian oligarchs money or interests at any time I've never managed a Russian oligarchs money at any point in time I served for a period of a year honest on the board of a South African mining company in which Renova is a minority invest alongside an Australian company called South 32 and the reason why I did this was because of my support for African entrepreneurship this was one of the first black owned mining companies in South Africa that was established with a British investment in 2004 this business have just grown to be a tremendous success and so for a period of a year I offered to help them on the board and to support them as they as they looked at how they can grow and scale the business I have a couple more questions Gabe so I don't know if you wanna take a break you want to keep let's take a break okay let's take a quick break do a quick break I think that's great that's the meat of it great job by the way fantastic lady here thanks for answering those questions the next section I want to do is compliment

Published Date : Dec 16 2018

SUMMARY :

head of the NSA you know get to just

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Scott Picken, Wealth Migrate | Blockchain Unbound 2018


 

>> Announcer: Live from San Juan, Puerto Rico. It's theCUBE, covering Block Chain Unbound, Brought to you by Blockchain Industries. >> Hello, everyone, welcome back to theCUBE's exclusive coverage in Puerto Rico for Block Chain Unbound. It's a global event, people from all around the world, from South Africa, Miami, Russia, San Francisco, New York, all around the world, talking about Blockchain cryptocurrency, the decentralized internet, and the future of Money, that's the killer app in Blockchain and cryptocurrency. I'm John Furrier, your host, my next guest is Scott Picken, who's the founder and CEO of Wealth Migrate Platform. Scott, thanks for coming on. >> Yeah, awesome John, thanks for having me. It's quite an exciting group of people here. >> We met last night, had a great conversation, I really liked some of the things that we were talking about, I wanted to bring you on because being in South Africa, where you're living and working, you have a unique perspective because you see the global landscape. So, I'm from Silicon Valley, we're here in Puerto Rico, America's got their view, the UK just announced a deal with Coinbase for essentially a license to convert funds into separate bank accounts through faster payment mechanisms, basically taking crypto and turning it into Fiat. Kind of a game changer. >> The one thing with the UK is they've been at the head of all of the different innovations over the last five to 10 years. They were right at the head in terms of crowdfunding and they're doing exactly the same in terms of now with the whole cryptospace. And it's actually quite interesting because when you take into account Brexit, they actually really need to do it because they want funds coming into the country, they want to be seen as the future of the banking market, et cetera, so it's actually really exciting. When you look around the world it's fascinating that I said this to you last night, that America really grew because Europe used to have all the controls. And so the capital basically left Europe and were in America and now it's happening 300 years later as America has all the controls and the capital's starting to go elsewhere. >> So America's turning into Europe. And so the potential is to bring, you don't have to say it, I'm an American and we're concerned about it. Americans are concerned that we don't want to be that old guard, like Europe was to America in the America days. So a new liberation's happening. UK's putting a stake in the ground, saying, "We want to get our mojo back," my words. >> Scott: sitting here in Puerto Rico. >> Yeah, they're in Puerto Rico. They're going to put a stake in the ground saying, "We're going to give you tax breaks 'til 2036." This is a money flow game right now. So you've been doing some pioneering work, what's your perspective, talk a little bit about some of the world dynamics that you see because, let's face it, this is the transfer of money, with crypto, it's happening at a massive scale, not just some underbelly boutique underground activities. This is front and center, mainstream, real money, real commerce. Your thoughts? >> I would take it a step back, actually. I think there's eight major macro trends that are all culminating at the same time. So the first one is in the education space, and the whole of education is changing, and it's really becoming gamification, and it's becoming learning while doing. So you don't learn and then go do something, you actually learn while you're doing it. The second one, for me, is the whole Blockchain. And what that's enabling people is getting democratization to wealth and access to assets, whether they're in their country or global assets, basically. The third thing that's really important is you've got the rise of the middle class. You know, a lot of people talk about the unbanked three billion, but what they don't realize is that 1.2 billion people joined the middle class. And they are primarily in the emerging world, they're in Africa, India, China. And what they want is, they want health, they want education, and they want access to wealth. Then you take into account what's happening in terms of collaborative investing. In the old days it was I do it on my own, you do it on your own, we sort of trust the financial industry. Now we're coming together, it's the power of the crowd. I could go on and on, that's just four of them, there's another four. They're all coming together and because this is happening is why we're seeing this metamorphosis and cryptocurrency is the catalyst on top of Blockchain that's allowing this to take place. >> Talk about some of the things that you've been advocating for, I know you were sharing a private story, maybe this may or may not be the right time to talk about it, but you put forth some pretty forthright concepts in memos and letters to folks, and no one will publish it. What are those views, because we've got the cameras rolling right now, share your vision. >> Again, I fundamentally believe that technology can solve grand challenges. And when you take our platform and what we're doing, we're effectively helping the 99% invest in commercial real estate like the top 1%. So what we were talking about last night was, I come from a country, South Africa, I was previously from Zimbabwe, and unfortunately for us is that in South Africa, they're talking now about taking away land without compensation. So land redistribution without compensation. Now, Einstein says that if you want to solve a problem, you can't solve it with the same reality that created the problem. And so I wrote a letter to the President, an open letter two weeks ago, and I said, listen. Why don't we do it differently? You're giving a person a piece of land in the middle of nowhere when they've never been a farmer will not help them get wealthy, I guarantee it. And if I'm wrong, let's go look at Zimbabwe. Which is a economic disaster. What about if we give them access to ownership of a good quality commercial asset that's earning a passive income? That is how you'll grow your wealth. And then add to that, Cape Town nearly became the first city, and it still could be the first city, that literally runs out of water. So why don't you go build a decent ionization plant in Cape Town with government money, allow people that you would give land to actually access to that asset and allow them to have the ownership? And that's sort of the concept, where you just think about it completely different. And you allow technology to actually give people what they want, which is wealth and prosperity for their family, and not just a farm in the middle of nowhere. >> And you're really addressing, I think, the incentive system combined with structural change. You talk about gamification earlier, this is kind of the dynamic. How important from an education standpoint, meaning educating stakeholders, old guard or existing governments, because you have this organic groundswell coming up of young people, people with vision that are older and more experienced like us, what's the formula, how do you get this ball rolling? >> So it's quite interesting, I get asked this question all the time and for us, in the first world, a lot of what we're talking about is it nice to have? It's sort of a bit of a game and if I can participate, but where I come from in the emerging world, it's a necessity. There are no other solutions. So if you live in South Africa or China or India and you want to get your money into a first world country like England, Australia, or America, it's very very difficult and virtually no one can do it. But it's a major problem, because you want world preservation, you want your Plan B, you want your children to be able to go to a first world university, et cetera, et cetera, et cetera. And so to answer your question, I think the way it will get solved is in communities where it's not a nice to have, it's a necessity. In terms of educating the old guard, I believe that what happens is you get groundswell, like literally when people really need a solution solved, they persuade governments and regulators to change and it's interesting, coming back to how we started the conversation, that's why smaller countries are often the ones to adopt the regulated new change and, more importantly, countries in emerging markets, whereas first world countries are trying to protect what they have and, unfortunately, the new world is about capital. And its capital flows. >> It's a choice between playing offense or defense, really in my mind it's a sports metaphor, whatever sport you like you know. We love the sports analogies. But this is what UK's doing, they're playing offense. And I think you're seeing other countries wanting to restructure themselves as digital nations because that's what the young people are expecting. So with that in mind, you have a global fabric here at this event, and it's just a microcosm of what we're seeing, which is outside the US, call it the little US bubble that we're living in, Silicon Valley, that's one case I'm wary of, but the growth outside the United States and even in Asia and south of the border, if you will, south of the equator, there's a ton of global action. What is, in your opinion, the few global things that are going on, that people should know about when it comes to how money's flowing and what they can do to take advantage of the trend rather than trying to hold it back. What do we do, is it get into the current? Ride the wave? What should people understand about the new global dynamic? >> So the first thing I would say is, I always laugh at this, but people don't understand how much innovation's going on in China. Like, go and understand WeChat to start off with. It is phenomenal, what is happening. The second thing for me is the global capital flows. When you consider how much capital is moving from the emerging world into the first world, primarily in real estate at the moment. And that's just the top 1% of the top 1%, you know, that's the people with 10, a hundred million dollars. But I've already said to you, there's 1.2 billion people coming into the emerging markets. In the middle class, they're going to want the same things. And so those capital flows are going to be going cross border. I also believe, with time, capital flows will be going from the first world into the emerging world in a safe way but wanting higher returns. >> So then the emerging world, the US has a shrinking middle class, but yet the emerging world has a growing middle class. That's going to attract new entrants. >> Exactly. >> Okay. >> Well, take into account China. Has China had a big impact on the global economy in the last 20 years? Yes or no? >> Yes. >> How many people are in the middle class in China? Plus or minus? >> Don't know. >> I've heard different reports from 200 million to 400 million, but whether it's 200 or 400-- >> It's more than it was 10 years ago. >> I know, but think about the impact that's had on the global economy. I'm not saying that this is 1.2 billion in the next 10 years, it's either a factor of five to eight, depending on which way you want to look at it. >> How much money, in your guesstimation, if you had to throw a dart at the board, order of magnitude, is flowing out of China with crypto into other assets? >> In the crypto space that's fascinating, because a lot of it is hard to tell, actually. In real estate last year alone, it was just short of 30 billion dollars went into commercial real estate from China. Now what's interesting is that a lot of that money is sort of gray, like no one actually knows where it's coming from, which is why China tightened it up so much. It's also why they tightened up the crypto side of things. Because a lot of people want to get their money out of the country and into first world economies, and that's why, in the emerging world, cryptocurrencies have been embraced more, actually, than in the first world. >> John: It's a faster way to move that money. >> Coming back to necessity. So in South Africa, in Zimbabwe, in China you pay more for Bitcoin than you do in America or Europe. I don't know if you know that. >> John: No, I don't know that. >> And by quite a lot. Like in Zimbabwe you pay nearly double. So a lot of people are making money by overcharging coins. They buy them in Europe, they sell them in South Africa, they sell them in Zimbabwe, they sell them in Nigeria. >> So the demand to move the money out of country is very high. >> Well, because they've got capital controls. So they have currency controls. So you're only allowed to move a certain amount of capital out of the country legally. So what happens now, you buy cryptocurrency and you can effectively invest in assets around the world. And you literally started off this conversation, right in the beginning, there's a democratization in terms of capital flows and what's happening, and people are going to put their capital where they want to. And governments, I believe, are not going to be able to control it by putting up controls, they're going to have to make their countries attractive so that the capital's flowing into the country, not out of the country. >> So what's your take on big multinational corporations that have capital structures, have equity positions, and it could be also growing venture-backed or private equity-based companies, they have capital structures, they have equity investors, in some case public, and privates, and unicorn valleys or whatnot, now moving to look at utility tokens as a way to get to a global gamification. So you have multiple securities, a utility, and in some cases a security token a real security. That seems to be a dynamic, are you seeing that on a global scale, are you seeing any activity there, we're seeing a little bit of movement around big companies trying to figure out how to play in crypto. >> From my experience, not a huge amount. I think that most people, they have a board, it's all around reputation, they got to meet the lawyers, the lawyers tell them, you're going to get crucified. And so from my experience, not a huge amount, it tends to be the small to medium enterprises that are prepared to go out and look at it. However, I will say from our personal business perspective, we built our entire company on a community. We've got shareholders all over the world and so for me, when it came to the crypto and the ICO market, that was just doing that more aggressively, effectively, and community-based companies are the future. So whether you're a Fortune 500 company or a start up, it's all about building the community, and I believe that whether it's utility token or security or a combination of the two, it provides an incredible vehicle to ultimately be the catalyst to a community. And if you're the catalyst to a community adding value, then you're going to build a company of value. >> And capture that value. So, Scott, I got to ask you about Wealth Migrate. Talk about your platform. First of all, thank you for sharing your perspective here on theCUBE. It's been fantastic to get that data out. What's your company about? Take a minute to explain what you guys are doing, your value proposition, state of the company, are you doing an ICO, have you had an ICO, what's the status of the company? >> So from Wealth Migrate's perspective, the platform went live in October, 2013, so we're a little over four years in now. We've effectively got members from 111 countries around the world and we've raised just short of 70 million dollars. All though the platform, all on Blockchain. We've facilitated real estate deals of over 485 million dollars and what I'm proudest of, actually, is that we've got a higher than 70% reinvestment rate. What we're doing is we're allowing the 99% to invest like the 1%, our minimum investment at the moment is $1,000, we're beta testing $100, and my dream is to get it to $1. You asked a little bit about the ICO. We built our platform on Blockchain not because of an ICO. Our number one challenge was trust. And ultimately Blockchain enabled us to solve the trust problem. The second thing for us is that my dream is to get it to $1 per person per investment. I want to solve the wealth gap. And I truly believe we can do it when we can allow anyone anywhere to invest in good quality assets. I can't do it with the current system, there's too many friction costs. With crypto and volume I can. >> Whether it's semantics, or education and/or hurdle rate on dollars, it's an interesting concept. You want to make the 99% invest like the 1%. Explain what that means, take a minute to explain that concept. I mean, some people are like, "Okay, I know what "the 1% is, there was a movement about that." So now you're talking about something pretty radical and interesting. What does that actually mean? I mean, empowering people to make more money? Unpack that concept. >> So let me ask you a question. Do you personally own a medical building? >> Do I own what? >> A medical building. >> No. >> Like a hospital, medical building. >> No. >> So it's 2009, I'm in Bondi Beach, Sydney and I meet two US dollar billionaires. I had helped about two and a half thousand people buy houses and apartments in England, Australia, America, and South Africa. And I sat with them and I said, "What are you investing in?" And they said, "Medical buildings." I said, "Why medical buildings?" And they said, "Well think about it. "No matter what happens in the global economy, "people need doctors." I was like, that makes sense. Secondly, they said, "Doctors never move." I was like, that makes sense. Thirdly, doctors are very good at being doctors, but they're not accountants. And so they sign long term, good, favorable leases. Now from a property perspective, real estate perspective, that's a no brainer. And I said to them, "How do I participate?" And they said it's really simple. It's for friends and family, there's eight people only, it's five million Australian dollars each. I was like, now there's the problem. That company today is over 700 million dollars, it's on the Australian Stock Exchange, and it's what I call financial exclusion. You and me don't own medical buildings. Since October 2013, we've enabled people to invest in medical buildings from $1,000. So the top 1% get wealthy by investing in better assets than the 99%. >> John: Because they have access. >> Because they've got access. >> John: And the cash. >> And the cash. But we've dropped the barriers to entry. Because you and I can participate now from $1,000 and I will get it to $1. >> So it's a combination of leveraging the asset based securitization with that opportunity by using a crowdsourcing kind of model, is that what you're thinking? >> So, effectively, and I'd suggest-- >> John: I'm oversimplifying it. >> No, no, 100%, I'd suggest everyone goes and looks up the term collaborative investing which is ultimately, it's a thing that's been going on for decades by very wealthy people on how to successfully invest. We've taken that but we've added a smart component. And why that's important is because in the past you needed 10, 50 million dollars to do collaborative investing, now you can do collaborative investing with $1,000. >> Yeah and what's beautiful is that you understand potentially whose reputation you're working with, you can move in herds, network effect kicks in, that's awesome. >> What gives me the greatest pleasure, I mean, children, my son is six years old, he's already investing. You know, most kids are playing Monopoly, he's playing real Monopoly, and so are adults. And what gives me the most pleasure and pride ever, and what I'm grateful for, is that we're changing people's lives. >> People talk about how to solve the welfare system, all kinds of things, you make people own something, or try to own something or trade, whether they make money or lose money, you learn from it, you're better for it. Here, you're providing a great service by opening the door, lowering the barriers to entry, to potentially wealth creation. >> Dude, I call it freedom. At the end of the day, if you're where you want to live, where you want to send your kids to school, how you want to retire, whether you want to donate to the church or whatever, I don't really care what you want, but I want you to have the freedom to be able to do it. And wealthy people get that freedom by investing in quality assets. And we're just allowing them to do that now. >> And the democratization is multiful, in this case you're creating a new economy model so the whole freedom, democracy aspect is in play. >> Well, I mean if you think about it, when you get into $1 per person, $1 will not change your life. But if you change your habits, you'll change your financial destiny. And so my philosophy is get it to $1, so that every single person can participate. And once you start to learn good habits around money and wealth, the rest just, it's a formula. >> It's a flywheel. Kickstand. Scott Picken, who's the founder and CEO of Wealth Migrate Platform from South Africa, formerly of Zimbabwe we learned today, great sharing the global perspective. Thanks for coming on theCUBE. Exclusive coverage from Puerto Rico, this is theCUBE, I'm John Furrier getting the signal here out of all the noise in the market, this is what we do, this is theCUBE's mission, to bring you the best content, best story from the best people, more coverage here in Puerto Rico. Day one of two days of coverage. After this short break, thanks for watching.

Published Date : Mar 16 2018

SUMMARY :

Brought to you by Blockchain Industries. and the future of Money, that's the killer app It's quite an exciting group of people here. I really liked some of the things that we were it's fascinating that I said this to you last night, And so the potential is to bring, about some of the world dynamics that you see So the first one is in the education space, the right time to talk about it, And that's sort of the concept, the incentive system combined with structural change. I believe that what happens is you get groundswell, and even in Asia and south of the border, if you will, And that's just the top 1% of the top 1%, you know, the US has a shrinking middle class, in the last 20 years? in the next 10 years, out of the country I don't know if you know that. Like in Zimbabwe you pay nearly double. So the demand to move the money so that the capital's flowing into the country, That seems to be a dynamic, are you seeing that be the catalyst to a community. Take a minute to explain what you guys are doing, and my dream is to get it to $1. I mean, empowering people to make more money? So let me ask you a question. And I said to them, "How do I participate?" And the cash. in the past you needed 10, 50 million dollars you understand potentially whose reputation What gives me the greatest pleasure, I mean, children, lowering the barriers to entry, I don't really care what you want, And the democratization is multiful, And so my philosophy is get it to $1, to bring you the best content,

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Nick Pentreath, IBM STC - Spark Summit East 2017 - #sparksummit - #theCUBE


 

>> Narrator: Live from Boston, Massachusetts, this is The Cube, covering Spark Summit East 2017. Brought to you by Data Bricks. Now, here are your hosts, Dave Valente and George Gilbert. >> Boston, everybody. Nick Pentry this year, he's a principal engineer a the IBM Spark Technology Center in South Africa. Welcome to The Cube. >> Thank you. >> Great to see you. >> Great to see you. >> So let's see, it's a different time of year, here that you're used to. >> I've flown from, I don't know the Fahrenheit's equivalent, but 30 degrees Celsius heat and sunshine to snow and sleet, so. >> Yeah, yeah. So it's a lot chillier there. Wait until tomorrow. But, so we were joking. You probably get the T-shirt for the longest flight here, so welcome. >> Yeah, I actually need the parka, or like a beanie. (all laugh) >> Little better. Long sleeve. So Nick, tell us about the Spark Technology Center, STC is its acronym and your role, there. >> Sure, yeah, thank you. So Spark Technology Center was formed by IBM a little over a year ago, and its mission is to focus on the Open Source world, particularly Apache Spark and the ecosystem around that, and to really drive forward the community and to make contributions to both the core project and the ecosystem. The overarching goal is to help drive adoption, yeah, and particularly enterprise customers, the kind of customers that IBM typically serves. And to harden Spark and to make it really enterprise ready. >> So why Spark? I mean, we've watched IBM do this now for several years. The famous example that I like to use is Linux. When IBM put $1 billion into Linux, it really went all in on Open Source, and it drove a lot of IBM value, both internally and externally for customers. So what was it about Spark? I mean, you could have made a similar bet on Hadoop. You decided not to, you sort of waited to see that market evolve. What was the catalyst for having you guys all go in on Spark? >> Yeah, good question. I don't know all the details, certainly, of what was the internal drivers because I joined HTC a little under a year ago, so I'm fairly new. >> Translate the hallway talk, maybe. (Nick laughs) >> Essentially, I think you raise very good parallels to Linux and also Java. >> Absolutely. >> So Spark, sorry, IBM, made these investments and Open Source technologies that had ceased to be transformational and kind of game-changing. And I think, you know, most people will probably admit within IBM that they maybe missed the boat, actually, on Hadoop and saw Spark as the successor and actually saw a chance to really dive into that and kind of almost leap frog and say, "We're going to "back this as the next generation analytics platform "and operating system for analytics "and big debt in the enterprise." >> Well, I don't know if you happened to watch the Super Bowl, but there's a saying that it's sometimes better to be lucky than good. (Nick laughs) And that sort of applies, and so, in some respects, maybe missing the window on Hadoop was not a bad thing for IBM >> Yeah, exactly because not a lot of people made a ton of dough on Hadoop and they're still sort of struggling to figure it out. And now along comes Spark, and you've got this more real time nature. IBM talks a lot about bringing analytics and transactions together. They've made some announcements about that and affecting business outcomes in near real time. I mean, that's really what it's all about and one of your areas of expertise is machine learning. And so, talk about that relationship and what it means for organizations, your mission. >> Yeah, machine learning is a key part of the mission. And you've seen the kind of big debt in enterprise story, starting with the kind of Hadoop and data lakes. And that's evolved into, now we've, before we just dumped all of this data into these data lakes and these silos and maybe we had some Hadoop jobs and so on. But now we've got all this data we can store, what are we actually going to do with it? So part of that is the traditional data warehousing and business intelligence and analytics, but more and more, we're seeing there's a rich value in this data, and to unlock it, you really need intelligent systems. You need machine learning, you need AI, you need real time decision making that starts transcending the boundaries of all the rule-based systems and human-based systems. So we see machine learning as one of the key tools and one of the key unlockers of value in these enterprise data stores. >> So Nick, perhaps paint us a picture of someone who's advanced enough to be working with machine learning with BMI and we know that the tool chain's kind of immature. Although, IBM with Data Works or Data First has a fairly broad end-to-end sort of suit of tools, but what are the early-use cases? And what needs to mature to go into higher volume production apps or higher-value production apps? >> I think the early-use cases for machine learning in general and certainly at scale are numerous and they're growing, but classic examples are, let's say, recommendation engines. That's an area that's close to my heart. In my previous life before IBM, I bought the startup that had a recommendation engine service targeting online stores and new commerce players and social networks and so on. So this is a great kind of example use case. We've got all this data about, let's say, customer behavior in your retail store or your video-sharing site, and in order to serve those customers better and make more money, if you can make good recommendations about what they should buy, what they should watch, or what they should listen to, that's a classic use case for machine learning and unlocking the data that is there, so that is one of the drivers of some of these systems, players like Amazon, they're sort of good examples of the recommendation use case. Another is fraud detection, and that is a classic example in financial services, enterprise, which is a kind of staple of IBM's customer base. So these are a couple of examples of the use cases, but the tool sets, traditionally, have been kind of cumbersome. So Amazon bought everything from scratch themselves using customized systems, and they've got teams and teams of people. Nowadays, you've got this bold into Apache Spark, you've got it in Spark, a machine learning library, you've got good models to do that kind of thing. So I think from an algorithmic perspective, there's been a lot of advancement and there's a lot of standardization and almost commoditization of the model side. So what is missing? >> George: Yeah, what else? >> And what are the shortfalls currently? So there's a big difference between the current view, I guess the hype of the machine learning as you've got data, you apply some machine learning, and then you get profit, right? But really, there's a hugely complex workflow that involves this end-to-end story. You've got data coming from various data sources, you have to feed it into one centralized system, transform and process it, extract your features and do your sort of hardcore data signs, which is the core piece that everyone sort of thinks about as the only piece, but that's kind of in the middle and it makes up a relatively small proportion of the overall chain. And once you've got that, you do model training and selection testing, and you now have to take that model, that machine-learning algorithm and you need to deploy it into a real system to make real decisions. And that's not even the end of it because once you've got that, you need to close the loop, what we call the feedback loop, and you need to monitor the performance of that model in the real world. You need to make sure that it's not deteriorating, that it's adding business value. All of these ind of things. So I think that is the real, the piece of the puzzle that's missing at the moment is this end-to-end, delivering this end-to-end story and doing it at scale, securely, enterprise-grade. >> And the business impact of that presumably will be a better-quality experience. I mean, recommendation engines and fraud detection have been around for a while, they're just not that good. Retargeting systems are too little too late, and kind of cumbersome fraud detection. Still a lot of false positives. Getting much better, certainly compressing the time. It used to be six months, >> Yes, yes. Now it's minutes or second, but a lot of false positives still, so, but are you suggesting that by closing that gap, that we'll start to see from a consumer standpoint much better experiences? >> Well, I think that's imperative because if you don't see that from a consumer standpoint, then the mission is failing because ultimately, it's not magic that you just simply throw machine learning at something and you unlock business value and everyone's happy. You have to, you know, there's a human in the loop, there. You have to fulfill the customer's need, you have to fulfill consumer needs, and the better you do that, the more successful your business is. You mentioned the time scale, and I think that's a key piece, here. >> Yeah. >> What makes better decisions? What makes a machine-learning system better? Well, it's better data and more data, and faster decisions. So I think all of those three are coming into play with Apache Spark, end-to-end's story streaming systems, and the models are getting better and better because they're getting more data and better data. >> So I think we've, the industry, has pretty much attacked the time problem. Certainly for fraud detection and recommendation systems the quality issue. Are we close? I mean, are we're talking about 6-12 months before we really sort of start to see a major impact to the consumer and ultimately, to the company who's providing those services? >> Nick: Well, >> Or is it further away than that, you think? >> You know, it's always difficult to make predictions about timeframes, but I think there's a long way to go to go from, yeah, as you mentioned where we are, the algorithms and the models are quite commoditized. The time gap to make predictions is kind of down to this real-time nature. >> Yeah. >> So what is missing? I think it's actually less about the traditional machine-learning algorithms and more about making the systems better and getting better feedback, better monitoring, so improving the end user's experience of these systems. >> Yeah. >> And that's actually, I don't think it's, I think there's a lot of work to be done. I don't think it's a 6-12 month thing, necessarily. I don't think that in 12 months, certainly, you know, everything's going to be perfectly recommended. I think there's areas of active research in the kind of academic fields of how to improve these things, but I think there's a big engineering challenge to bring in more disparate data sources, to better, to improve data quality, to improve these feedback loops, to try and get systems that are serving customer needs better. So improving recommendations, improving the quality of fraud detection systems. Everything from that to medical imaging and counter detection. I think we've got a long way to go. >> Would it be fair to say that we've done a pretty good job with traditional application lifecycle in terms of DevOps, but we now need the DevOps for the data scientists and their collaborators? >> Nick: Yeah, I think that's >> And where is BMI along that? >> Yeah, that's a good question, and I think you kind of hit the nail on the head, that the enterprise applied machine learning problem has moved from the kind of academic to the software engineering and actually, DevOps. Internally, someone mentioned the word train ops, so it's almost like, you know, the machine learning workflow and actually professionalizing and operationalizing that. So recently, IBM, for one, has announced what's in data platform and now, what's in machine learning. And that really tries to address that problem. So really, the aim is to simplify and productionize these end-to-end machine-learning workflows. So that is the product push that IBM has at the moment. >> George: Okay, that's helpful. >> Yeah, and right. I was at the Watson data platform announcement you call the Data Works. I think they changed the branding. >> Nick: Yeah. >> It looked like there were numerous components that IBM had in its portfolio that's now strung together. And to create that end-to-end system that you're describing. Is that a fair characterization, or is it underplaying? I'm sure it is. The work that went into it, but help us maybe understand that better. >> Yeah, I should caveat it by saying we're fairly focused, very focused at HTC on the Open Source side of things, So my work is predominately within the Apache Spark project and I'm less involved in the data bank. >> Dave: So you didn't contribute specifically to Watson data platform? >> Not to the product line, so, you know, >> Yeah, so its really not an appropriate question for you? >> I wouldn't want to kind of, >> Yeah. >> To talk too deeply about it >> Yeah, yeah, so that, >> Simply because I haven't been involved. >> Yeah, that's, I don't want to push you on that because it's not your wheelhouse, but then, help me understand how you will commercialize the activities that you do, or is that not necessarily the intent? >> So the intent with HTC particularly is that we focus on Open Source and a core part of that is that we, being within IBM, we have the opportunity to interface with other product groups and customer groups. >> George: Right. >> So while we're not directly focused on, let's say, the commercial aspect, we want to effectively leverage the ability to talk to real-world customers and find the use cases, talk to other product groups that are building this Watson data platform and all the product lines and the features, data sans experience, it's all built on top of Apache Apache Spark and platform. >> Dave: So your role is really to innovate? >> Exactly, yeah. >> Leverage and Open Source and innovate. >> Both innovate and kind of improve, so improve performance improve efficiency. When you are operating at the scale of a company such as IBM and other large players, your customers and you as product teams and builders of products will come into contact with all the kind of little issues and bugs >> Right. >> And performance >> Make it better. Problems, yeah. And that is the feedback that we take on board and we try and make it better, not just for IBM and their customers. Because it's an Apache product and everyone benefits. So that's really the idea. Take all the feedback and learnings from enterprise customers and product groups and centralize that in the Open Source contributions that we make. >> Great. Would it be, so would it be fair to say you're focusing on making the core Spark, Spark ML and Spark ML Lib capabilities sort of machine learning libraries and in the pipeline, more robust? >> Yes. >> And if that's the case, we know there needs to be improvements in its ability to serve predictions in real time, like high speed. We know there's a need to take the pipeline and sort of share it with other tools, perhaps. Or collaborate with other tool chains. >> Nick: Yeah. >> What are some of the things that the Enterprise customers are looking for along the lines? >> Yeah, that's a great question and very topical at the moment. So both from an Open Source community perspective and Enterprise customer perspective, this is one of the, if not the key, I think, kind of missing pieces within the Spark machine-learning kind of community at the moment, and it's one of the things that comes up most often. So it is a missing piece, and we as a community need to work together and decide, is this something that we built within Spark and provide that functionality? Is is something where we try and adopt open standards that will benefit everybody and that provides a kind of one standardized format, or way or serving models? Or is it something where there's a few Open Source projects out there that might serve for this purpose, and do we get behind those? So I don't have the answer because this is ongoing work, but it's definitely one of the most critical kind of blockers, or, let's say, areas that needs work at the moment. >> One quick question, then, along those lines. IBM, the first thing IBM contributed to the Spark community was Spark ML, which is, as I understand it, it was an ability to, I think, create an ensemble sort of set of models to do a better job or create a more, >> So are you referring to system ML, I think it is? >> System ML. >> System ML, yeah, yeah. >> What are they, I forgot. >> Yeah, so, so. >> Yeah, where does that fit? >> System ML started out as a IBM research project and perhaps the simplest way to describe it is, as a kind of sequel optimizer is to take sequel queries and decide how to execute them in the most efficient way, system ML takes a kind of high-level mathematical language and compiles it down to a execution plan that runs in a distributed system. So in much the same way as your sequel operators allow this very flexible and high-level language, you don't have to worry about how things are done, you just tell the system what you want done. System ML aims to do that for mathematical and machine learning problems, so it's now an Apache project. It's been donated to Open Source and it's an incubating project under very active development. And that is really, there's a couple of different aspects to it, but that's the high-level goal. The underlying execution engine is Spark. It can run on Hadoop and it can run locally, but really, the main focus is to execute on Spark and then expose these kind of higher level APRs that are familiar to users of languages like R and Python, for example, to be able to write their algorithms and not necessarily worry about how do I do large scale matrix operations on a cluster? System ML will compile that down and execute that for them. >> So really quickly, follow up, what that means is if it's a higher level way for people who sort of cluster aware to write machine-learning algorithms that are cluster aware? >> Nick: Precisely, yeah. >> That's very, very valuable. When it works. >> When it works, yeah. So it does, again, with the caveat that I'm mostly focused on Spark and not so much the System ML side of things, so I'm definitely not an expert. I don't claim to be an expert in it. But it does, you know, it works at the moment. It works for a large class of machine-learning problems. It's very powerful, but again, it's a young project and there's always work to be done, so exactly the areas that I know that they're focusing on are these areas of usability, hardening up the APRs and making them easier to use and easier to access for users coming from the R and Python communities who, again are, as you said, they're not necessarily experts on distributed systems and cluster awareness, but they know how to write a very complex machine-learning model in R, for example. And it's really trying to enable them with a set of APR tools. So in terms of the underlying engine, they are, I don't know how many hundreds of thousands, millions of lines of code and years and years of research that's gone into that, so it's an extremely powerful set of tools. But yes, a lot of work still to be done there and ongoing to make it, in a way to make it user ready and Enterprise ready in a sense of making it easier for people to use it and adopt it and to put it into their systems and production. >> So I wonder if we can close, Nick, just a few questions on STC, so the Spark Technology Centers in Cape Town, is that a global expertise center? Is is STC a virtual sort of IBM community, or? >> I'm the only member visiting Cape Town, >> David: Okay. >> So I'm kind of fairly lucky from that perspective, to be able to kind of live at home. The rest of the team is mostly in San Francisco, so there's an office there that's co-located with the Watson west office >> Yeah. >> And Watson teams >> Sure. >> That are based there in Howard Street, I think it is. >> Dave: How often do you get there? >> I'll be there next week. >> Okay. >> So I typically, sort of two or three times a year, I try and get across there >> Right. And interface with the team, >> So, >> But we are a fairly, I mean, IBM is obviously a global company, and I've been surprised actually, pleasantly surprised there are team members pretty much everywhere. Our team has a few scattered around including me, but in general, when we interface with various teams, they pop up in all kinds of geographical locations, and I think it's great, you know, a huge diversity of people and locations, so. >> Anything, I mean, these early days here, early day one, but anything you saw in the morning keynotes or things you hope to learn here? Anything that's excited you so far? >> A couple of the morning keynotes, but had to dash out to kind of prepare for, I'm doing a talk later, actually on feature hashing for scalable machine learning, so that's at 12:20, please come and see it. >> Dave: A breakout session, it's at what, 12:20? >> 20 past 12:00, yeah. >> Okay. >> So in room 302, I think, >> Okay. >> I'll be talking about that, so I needed to prepare, but I think some of the key exciting things that I have seen that I would like to go and take a look at are kind of related to the deep learning on Spark. I think that's been a hot topic recently in one of the areas, again, Spark is, perhaps, hasn't been the strongest contender, let's say, but there's some really interesting work coming out of Intel, it looks like. >> They're talking here on The Cube in a couple hours. >> Yeah. >> Yeah. >> I'd really like to see their work. >> Yeah. >> And that sounds very exciting, so yeah. I think every time I come to a Spark summit, they always need projects from the community, various companies, some of them big, some of them startups that are pushing the envelope, whether it's research projects in machine learning, whether it's adding deep learning libraries, whether it's improving performance for kind of commodity clusters or for single, very powerful single modes, there's always people pushing the envelope, and that's what's great about being involved in an Open Source community project and being part of those communities, so yeah. That's one of the talks that I would like to go and see. And I think I, unfortunately, had to miss some of the Netflix talks on their recommendation pipeline. That's always interesting to see. >> Dave: Right. >> But I'll have to check them on the video (laughs). >> Well, there's always another project in Open Source land. Nick, thanks very much for coming on The Cube and good luck. Cool, thanks very much. Thanks for having me. >> Have a good trip, stay warm, hang in there. (Nick laughs) Alright, keep it right there. My buddy George and I will be back with our next guest. We're live. This is The Cube from Sparks Summit East, #sparksummit. We'll be right back. (upbeat music) (gentle music)

Published Date : Feb 8 2017

SUMMARY :

Brought to you by Data Bricks. a the IBM Spark Technology Center in South Africa. So let's see, it's a different time of year, here I've flown from, I don't know the Fahrenheit's equivalent, You probably get the T-shirt for the longest flight here, need the parka, or like a beanie. So Nick, tell us about the Spark Technology Center, and the ecosystem. The famous example that I like to use is Linux. I don't know all the details, certainly, Translate the hallway talk, maybe. Essentially, I think you raise very good parallels and kind of almost leap frog and say, "We're going to and so, in some respects, maybe missing the window on Hadoop and they're still sort of struggling to figure it out. So part of that is the traditional data warehousing So Nick, perhaps paint us a picture of someone and almost commoditization of the model side. And that's not even the end of it And the business impact of that presumably will be still, so, but are you suggesting that by closing it's not magic that you just simply throw and the models are getting better and better attacked the time problem. to go from, yeah, as you mentioned where we are, and more about making the systems better So improving recommendations, improving the quality So really, the aim is to simplify and productionize Yeah, and right. And to create that end-to-end system that you're describing. and I'm less involved in the data bank. So the intent with HTC particularly is that we focus leverage the ability to talk to real-world customers and you as product teams and builders of products and centralize that in the Open Source contributions sort of machine learning libraries and in the pipeline, And if that's the case, So I don't have the answer because this is ongoing work, IBM, the first thing IBM contributed to the Spark community but really, the main focus is to execute on Spark When it works. and ongoing to make it, in a way to make it user ready So I'm kind of fairly lucky from that perspective, And interface with the team, and I think it's great, you know, A couple of the morning keynotes, but had to dash out are kind of related to the deep learning on Spark. that are pushing the envelope, whether it's research and good luck. My buddy George and I will be back with our next guest.

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