>> Live from Bahrain, it's the Cube, covering AWS Summit Bahrain. Brought to you by Amazon web services. >> Welcome back everyone, we're here live with the Cube here, at Bahrain for exclusive coverage for AWS Summit and the opening in early 2019 just announced previously a few weeks ago, Amazon is opening a region here in the Middle East. It's going to be super impactful in the sense of entrepreneurship business coming together. I'm John Furrier, your host. We have two guests here, Manoj Kanorth, who is the AVP Head of Cloud Data Science Engineer at Mindtree, global company and Snehal Zaveri, Service Delivery Manager at Computer World here in Bahrain partnering. Guys welcome to the Cube. Thanks for coming. >> [Manoj And Snehal] Thank you, Thank you John. >> Good to be here. >> So talk about Mindtree first, what do guys do? Because you now are doing business here. The Cloud's here, not new to you guys, but this is an interesting time. >> It's extremely interesting time. So, we've been doing Cloud for 10 years. So, we do lot of digital transformation work. And, it's a great time that the government of Bahrain has really decided to go all digital and I think this a great, great time for us to be really engaged and we're very happy to be engaged with the Computer World. >> And what do you guys do? What's your main product? You're doing data science, big data analytics, cloud, devops? >> Yes, that's right. So to give you a sense, if you look at India as a country, so the core citizen identity for India, for all the governance initiatives which you could say either it's a big data, the data science piece, the entire piece is actually done by us. So that, what that really gives is, gives identity to citizens, and this is the base for all governance initiatives going forward. So building systems like that, where truly touching the lives of folks through digital transformation where its fundamentally about cloud, it's a big part of data and really about how to drive insights to make this happen, it's something that we're really working towards. So globally, we work with all the global 2000 companies, doing substantial work. >> So the role of data is a big advantage for Bahrain. They're going to make data come center of advantage, GDPR, it's a nightmare, everyone knows how bad that is, and you're living in Europe, people have stopped investing in some cases because of the requirements. So there's some data problems that are hard to solve, easy to say, hey let's create data sovereignty, let's protect consumers, sounds good but is a hard technical problem. Most people don't even know where their data is, nevermind removing, having all these things happen, but the cloud is an opportunity. So, Bahrain is identified data as a major advantage. Your reaction to that? Viable? Will they do it? How will they do it? Your thoughts? >> So I think having a region here is the first step, and I think the data protection act that has really been launched, I think used to form legal foundations to do that. Once you get on to that, after that, the technology pieces of how to put together, you're exactly right. Cloud is a great way to start, get the data together, design the right foundations to put that together. So I think it is just the right foundation for anything to start. >> They should give a hall pass for everyone prior to cloud. I know guys like doing storage. They, wait a minute, where's that data? Because storage is hard. If your provisioning storage. >> So incredibly more hard, in GDPR is the right to forget. So once somebody says forget me, then going back to all the storage's and reviewing information, is even more difficult. >> Still, talk about your role with Mindtree in Bahrain, Amazon, how do you feel about this? >> Great, I think I will, I would love to answer this question. So, first of all, we as a Computer World, we are three decade old company, more than three decades and we have legacy. We started with traditional data center, and then moved ourselves to virtualize us and to public cloud, private cloud to public cloud and from there, we have moved ourselves to digital transformation. Although it is a big buzzword today, but then we actually doesn't like disruption. We want people not to be a victim of disruption. So we always do that, that we always innovate ourself and keep a pace with industries, varied industries of course. Now as Bahrain is a company when government of Bahrain has chosen AWS, a very strong platform. Now what is missing is the best innovative solutions you need skills, resources, knowledge, to actually leverage this platform which is chosen by government, government of Bahrain. So I think as a strategy they'll alliance is once and we have chosen Mindtree, looking at their global presence, their IP, and we would like Bahrain customers, especially in the public sector and non public sector. Leverage their expertise as working with computer world. So this is all about we as in computer world. What we do and with respect to this government of varying initiative, I think we as in, we are not citizen, but as in residents of Bahrain, it is really a proud for us, that this is not a data center or region for Bahrain. It is a regional data center, we have to definitely look into that. So that's we're we are. >> It's a great opportunity, and the thing I want to point out is, this big demand from government to move faster because they're slow generally, but in Bahrain, they're fast compared to other governments. But the private sector is where, the action's going to be with entrepreneurship. So I got to ask you guys a question around cloud native. How do you guys see cloud native architectures? Because you got Amazon's cloud native. This hybrid cloud, sure, I get that, but cloud native is what everyone's going to be using. >> Perfect, so before he starts from by my side, would be foundation and then I think, he will take on from there. So very great question. So, we see cloud journey in four different phases. The first is migration, which might be the first step, which might not be, but that migration doesn't solve any purpose. We have to move beyond. So that's where the optimization phase comes. Whatever you how posted on cloud, how you can optimize it. Maybe one of the example, is you can move your database, as an infrastructure to the ideas or any other services and so on. From there is the innovative solutions, what you have to think beyond, whatever you have today do it better, do it fast and help it should extend to the smart city concept or smart governance concept or something which is beyond the normal data center what can deliver. So this is how we visualize and from there is the, is the time where you have to start developing native applications, cloud native, you should not think traditionally by hosting and then migrating. You change your mindset, start thinking cloud and living cloud. That's where we are and that's where I think they're >> Jump in, you don't want to do a little bit of cloud, you got to go all way in, this cloud operations is what everyone will end end up doing. >> [Manoj And Snehal] Exactly. Absolutely. Yeah. >> So globally, any application that we are working today, I think fundamentally we have to think about how it runs from the cloud, so it's inevitable that any new architectures that we do today are fundamentally cloud native. Whether those are containers or serverless applications. >> What's the consequence for people watching, if they don't do cloud native? Because this is super important and smart, smart money, smart entrepreneurs are and smart engineers and smart business people, are doing cloud native because, there are specific things that they benefit from. >> Yes. >> What are the consequences of they don't do cloud native? >> So I think a more than consequences. Bahrain is a great opportunity to leap frog because in many places you have decide somewhere you start with a legacy, then you kind of optimize and today when you speak about and you are starting applications fresh. I think if it's directly starting on cloud native, the overall operational efficiency of how you build your applications to be more self healing. Starting fresh and leap frogging, I think is a great opportunity that a Bahrain really has. >> And certainly one of the consequences might be data impact because if we put everything in the cloud, if you're thinking cloud, you're thinking horizontally scalable and seeking a synchronous, you're thinking parallel >> You are thinking parallel >> You're thinking auto scaling, containers, microservices, service meshes. >> Fundamental service meshes you're thinking about the data discovery because you talked about GDPR and the point of resident data, so how do you apply machine learning to really understand the quality of data? How do you discover the right information and then really expose that to the different places. >> Do you think machine learning is a great weapon against GDPR or helps GDPR? >> It helps identify, classify and identify the information and even when you're sharing that information, it's a great way for you to actually get a sense of what is the classification to do it. Humanly it's not possible. >> Is it a program active, this AI can help you. >> That's where AI comes and the second big piece of how the government of bahrain is really looking at it. When the lab, the Fintech companies and the banks is going to have a lot of API's and I think serverless programming with exposing API's is just the right way for this collaboration >> it's really easy >> Makes it easy make it easy to try new things out and fail very, very quickly. >> If you think in terms of services and there's a collection of services, it's a simply API management and then you've got the future of orchestration with Cooper netties, and this is where you start to get into the state stateless applications. >> Yes >> That's where it gets a little bit difficult and some work to do there, but you can really have some fun with stateless. >> You can really have some fun with states >> and get some stuff up >> to build some stuff up and with ever increasing stability of the database in native place even the stateful applications are much more easier these days. >> This is more work involved on the micro services side. Virtually Cross has got some more to do. All right, final question. What's, what do you think is the impact of Amazon coming to the region? In the short term, medium and long term. What do you think is the impact of Amazon's region? >> Yeah, definitely. So, if you talk about the short term, first of all this is a change of mindset that I say and when government of bahrain and the top, I mean his highness, he's supporting this initiative. So the benefit is the lower costs. Operations cost has to go down. See this is not something that the one ministry or one enterprise level initiative. This is national level initiative. So end of the day when you consolidate 70, 80 ministries and you shut down the data center and host the data into AWS, then you are going to save a huge cost. And that's what AWS is found for. So with that strong commitment from the cost optimization then you get the latest technologies. You don't need to keep spending money behind your upgrades and so on that, that's >> Fine as you go up where as the security by the way people always complained about security. Oh, cloud is never going to make. I heard this right out of the gate. Security is more in the cloud than it is on premise. We hear CSO, Chief Security Officers say my worst day of security in the clouds, better than the best day on premises. >> [Manoj And Snehal] Absolute. >> And I think really in the short term, I think this is a statement of ambition. I think it really changes of the complete mindset of the region itself in terms of wanting to have the cloud here becomes the region for all new businesses to come in. And I think given in the medium term, the number of banks that are actually operate in this region, I think it's going to get great flip. to really make this as the key center of all fintech companies going forward. I think the startup initiative with the presidents of all the banks with a much more open government. I think is the right set of factors for most startups to come in, for more innovation to really drive in this region. And I think from a longterm perspective it really serves the difference in terms of how things actually are going to change and move in this particular place. >> I think you're right I think that there's going to be some poll. In that poll is going to be multidimensional. >> Got It. Got It. >> Economic, Social, Political and there is silence. >> And as Mr. Mohammad Alkiad has mentioned in his keynote during the keynote, the procurement process has reduced by 60%. That's unbelievable. You know, government with their own >> It got a home lived movement from the youth, it's going to be the summer of love. Some are a cloud because when the young people get a hold of the cloud, we're talking about young kids now. They've never provisioned Linux. >> Got It. They'd never had off server under their desk. We're talking about new new developers. >> New developers >> They go, wait a minute, what are you? Old Guys had to do all this stuff >> Exactly >> They go right to machine learning. They go right to AI. They're like, no configuration, no, no rock fetches, no mundane tasks. They want it just to be elastic. Serverless is like the right to serverless. >> and quote 9 is just a right >> creativity will come from that speed of development, creativity. So once that said, the key is setting it up >> Yup, and 2 years down the line. You will see Bahrain might be setting up a very right example for AWS to be to give everywhere. >> but we're going to be doing that. That's going to be the investment. >> We are all aligned . >> That's a good deal. That's a good deal. >> There you are. >> We are not aligned absolutely with the government policies and we will commit and that is the success guaranteed. >> I wish that I was 18 again. What I know now, I'd be killing it in the cloud. [Laughing] We went to the to tough days. Guys, thanks so much for coming on and sharing your insights. Great conversation. Its really about what's happening in innovation. It's about cloud computing, it's about scale, it's about new things. Certainly bring a lot of change and good positive change with challenges as opportunities. CUBE see here for the first time bringing to you. Stay with us for more after this short break.

>> Live from San Jose in the heart of Silicon Valley, it's theCUBE, covering Data Works Summit 2018, brought to you by Hortonworks. >> Welcome back to theCUBE's live coverage of Dataworks here in San Jose, California. I'm your host, Rebecca Knight, along with my co-host, James Kobielus. We're joined by Cindy Maike. She is the VP Industry Solutions and GM Insurance and Healthcare at Hortonworks. Thanks so much for coming on theCUBE, Cindy. >> Thank you, thank you, look forward to it. >> So, before the cameras were rolling we were talking about the business case for data, for data analytics. Walk our viewers through how you, how you think about the business case and your approach to sort of selling it. >> So, when you think about data and analytics, I mean, as industries we've been very good sometimes at doing kind of like the operational reporting. To me that's looking in the rearview mirror, something's already happened, but when you think about data and analytics, especially big data it's about what questions haven't I been able to answer. And, a lot of companies when they embark on it they're like, let's do it for technology's sake, but from a business perspective when we, as our industry GMs we are out there working with our customers it's like, what questions can't you answer today and how can I look at existing data on new data sources to actually help me answer questions. I mean, we were talking a little bit about the usage of sensors and so forth around telematics and the insurance industry, connected homes, connective lives, connected cars, those are some types of concepts. In other industries we're looking at industrial internet of things, so how do I actually make the operations more efficient? How do I actually deploy time series analysis to actually help us become more profitable? And, that's really where companies are about. You know, I think in our keynote this morning we were talking about new communities and it's what does that mean? How do we actually leverage data to either monetize new data sources or make us more profitable? >> You're a former insurance CFO, so let's delve into that use case a little bit and talk about the questions that I haven't asked yet. What are some of those and how are companies putting this thing to work? >> Yeah so, the insurance industry you know, it's kind of frustrating sometimes where as an insurance company you sit there and you always monitor what your combined ratio is, especially if you're a property casualty company and you go, yeah, but that tells me information like once a month, you know, but I was actually with a chief marketing officer recently and she's like, she came from the retail industry and she goes, I need to understand what's going on in my business on any given day. And so, how can we leverage better real time information to say, what customers are we interacting with? You know, what customers should we not be interacting with? And then you know, the last thing insurance companies want to do is go out and say, we want you as a customer and then you decline their business because they're not risk worthy. So, that's where we're seeing the insurance industry and I'll focus a lot on insurance here, but it's how do we leverage data to change that customer engagement process, look at connected ecosystems and it's a good time to be well fundamentally in the insurance industry, we're seeing a lot of use cases, but also in the retail industry, new data opportunities that are out there. We talked a little bit before the interview started on shrinkage and you know, the retail industry's especially in the food, any type of consumer type packages, we're starting to see the usage of sensors to actually help companies move fresh food around to reduce their shrinkage. You know, we've got. >> Sorry, just define shrinkage, 'cause I'm not even sure I understand, it's not that your gapple is getting smaller. It refers to perishable goods, you explain it. >> Right, so you're actually looking at, how do we make sure that my produce or items that are perishable, you know, I want to minimize the amount of inventory write offs that I have to do, so that would be the shrinkage and this one major retail chain is, they have a lot of consumer goods that they're actually saying, you know what, their shrinkage was pretty high, so they're now using sensors to help them monitor should we, do we need to move certain types of produce? Do we need to look at food before it expires you know, to make sure that we're not doing an inventory write off. >> You say sensors and it's kind of, are you referring to cameras taking photos of the produce or are you referring to other types of chemical analysis or whatever it might be, I don't know. >> Yeah, so it's actually a little bit of both. It's how do I actually you know, looking at certain types of products, so we all know when you walk into a grocery store or some type of department store, there's cameras all over the place, so it's not just looking at security, but it's also looking at you know, are those goods moving? And so, you can't move people around a store, but I can actually use the visualization and now with deep machine learning you can actually look at that and say, you know what, those bananas are getting a little ripe. We need to like move those or we need to help turn the inventory. And then, there's also things with bar coding you know, when you think of things that are on the shelves. So, how do I look at those bar codes because in the past you would've taken somebody down the isle. They would've like checked that, but no, now we're actually looking up the bar codes and say, do we need to move this? Do we need to put these things on sale? >> At this conference we're hearing just so much excitement and talk about data as the new oil and it is an incredible strategic asset, but you were also saying that it could become a liability. Talk about the point at which it becomes a liability. >> It becomes a liability when one, we don't know what to do with it, or we make decisions off of data data, so you think about you know, I'll give you an example, in the healthcare industry. You know, medical procedures have changed so immensely. The advancement in technology, precision medicine, but if we're making healthcare decisions on medical procedures from 10 years ago, so you really need to say how do I leverage you know, newer data stats, so over time if you make your algorithms based on data that's 10, 20 years old, it's good in certain things, but you know, you can make some bad business decisions if the data is not recent. So, that's when I talk about the liability aspect. >> Okay, okay, and then, thinking about how you talk with, collaborate with customers, what is your approach in the sense of how you help them think through their concerns, their anxieties? >> So, a lot of times it's really kind of understanding what's their business strategy. What are their financial, what are their operational goals? And you say, what can we look at from a data perspective, both data that we have today or data that we can acquire from new data sources to help them actually achieve their business goals and you know, specifically in the insurance industry we focus on top line growth with growing your premium or decreasing your combined ratio. So, what are the types of data sources and the analytical use cases that we can actually you know, use? See the exact same thing in manufacturing, so. >> And, have customer attitudes evolved over time since you've been in the industry? How would you describe their mindsets right now? >> I think we still have some industries that we struggle with, but it's actually you know, I mentioned healthcare, the way we're seeing data being used in the healthcare industry, I mean, it's about precision medicine. You look at gnomics research. It says that if people like 58 percent of the world's population would actually do a gnomics test if they could actually use that information. So, it's interesting to see. >> So, the struggle is with people's concern about privacy encroachment, is that the primary struggle? >> There's a little bit of that and companies are saying, you know, I want to make sure that it's not being used against me, but there was actually a recent article in Best Review, which is an insurance trade magazine, that says, you know, if I have, actually have a gnomic test can the insurance industry use that against me? So, I mean, there's still a little bit of concern. >> Which is a legitimate concern. >> It is, it is, absolutely and then also you know, we see globally with just you know, the General Data Protection act, the GDPR, you know, how are companies using my information and data? So you know, consumers have to be comfortable with the type of data, but outside of the consumer side there's so much data in the industry and you made the comment about you know, data's the new oil. I have a thing, against, with that is, but we don't use oil straight in a car, we don't use crude putting in a car, so once we do something with it which is the analytical side, then that's where we get the business end side. So, data for data's sake is just data. It's the business end sites is what's really important. >> Looking ahead at Hortonworks five, 10 years from now I mean, how much, how much will your business account for the total business of Hortonworks do you think, in the sense of as you've said, this is healthcare and insurance represents such huge potential possibilities and opportunities for the company? Where do you see the trajectory? >> The trajectory I believe is really in those analytical apps, so we were working with a lot of partners that are like you know, how do I accelerate those business value because like I said, it's like we're not just into data management, we're in the data age and what does that mean? It's like turning those things into business value and I've got to be able to I think from an industry perspective, you know be working with the right partners and then also customers because they lack some of the skillsets. So, who can actually accelerate the time to value of using data for profitability? >> Is your primary focus area at helping regulated industries with their data analytics challenges and using IOT or does it also cover unregulated? >> Unregulated as well. >> Are the analytics requirements different between regulated and unregulated in terms of the underlying capabilities they require in terms of predictive modeling, of governance and so forth and how does Hortonworks differentiate their response to those needs? >> Yeah, so it varies a little bit based upon their regulations. I mean, even if you look at life sciences, life sciences is very, very regulated on how long do I have to keep the data? How can I actually use the data? So, if you look at those industries that maybe aren't regulated as much, so we'll get away from financial services, highly regulated across all different areas, but I'll also look at say business insurance, not as much regulated as like you and I as consumers, because insurance companies can use any type of data to actually do the pricing and doing the underwriting and the actual claims. So, still regulated based upon the solvency, but not regulated on how we use it to evaluate risk. Manufacturing, definitely some regulation there from a work safety perspective, but you can use the data to optimize your yields you know, however you see fit. So, we see a mixture of everything, but I think from a Hortonworks perspective it's being able to share data across multiple industries 'cause we talk about connected ecosystems and connected ecosystems are really going to change business of the future. >> So, how so? I mean, especially in bringing it back to this conference, to Data Works, and the main stage this morning we heard so much about these connected communities and really it's all about the ecosystem, what do you see as the biggest change going forward? >> So, you look at, and I'll give you the context of the insurance industry. You look at companies like Arity, which is a division of All State, what they're doing actually working with the car manufacturers, so at some point in time you know, the automotive industry, General Motors tried this 20 years ago, they didn't quite get it with On Star and GMAC Insurance. Now, you actually have the opportunity with you know, maybe on the front man for the insurance industry. So, I can now start to collect the data from the vehicle. I'm using that for driving of the vehicle, but I can also use it to help a driver make safer driving. >> And upsize their experience of actually driving, making it more pleasant as well as safer. There's many layers of what can be done now with the same data. Some of those uses impinge or relate to regulated concern or mandatory concerns, then some are purely for competitive differentiation of the whole issue of experience. >> Right, and you think about certain aspects that the insurance industry just has you know, a negative connotation and we have an image challenge on what data can and cannot be used, so, but a lot of people opt in to an automotive manufacturer and share that type of data, so moving forward who's to say with the connected ecosystem I still have the insurance company in the background doing all the underwriting, but my distribution channel is now the car dealer. >> I love it, great. That's a great note to end on. Thanks so much for coming on theCUBE. Thank you Cindy. I'm Rebecca Knight for James Kobielus. We will have more from theCUBE's live coverage of Data Works in just a little bit. (upbeat music)

>> Welcome back everybody, Jeff Frick here with theCUBE. We're in downtown San Francisco at LinkedIn's brand new headquarters up here, at Data Privacy Day 2018. We were here last year, the conference is growing, a lot more people here, a lot more activity. We're excited to have a sponsor, Craig Goodwin, he's the Chief Security Officer of CDK Global. Great to see ya. >> Great to be here. >> Absolutely. So for people who aren't familiar, give us a quick kind of overview of what is CDK Global. >> Sure, so CDK Global runs automotive technology. So we enable technology for automotive dealerships, original equipment manufacturers, and we run a lot of the technology across the U.S. and the rest of the world. So, I think last estimate's about $500 billion worth of automotive transactions, whether buying a car, servicing a car, all went through CDK's systems. >> Okay, so it's the systems, it's the business systems for those autmotive companies. It's not like we were just at an autonomous vehicle company the other day, it's not those type of systems. >> Yeah, correct, I mean we're helping with that, right? So a lot of our technology is connecting, with IoT and connected vehicles helping to take in data from those vehicles, to help automotive dealerships, to service the vehicles, or to sell the vehicles. So we ingest that data, and we ingest that technology, but essentially we're talking about the data in the dealerships. >> Okay. So how have you seen things evolve over the last couple years? >> Well definitely with the extra regulation, right? With people and the way that their privacy dynamic is changing, consumers are becoming much more aware of where their data's going, and who's using their data. So we've heard an awful lot today, about the privacy of people's data, and how the industry needs to change. And I think consumers generally are getting much more educated on that, and therefore they're asking companies like ourselves, who deal with their data, to be much more robust in their practices. And we've also seen that in a regulation point of view, right? So governments, the industry, are pushing businesses to be more aware of how they're using consumer's data, which has got to be a positive move in the right direction. >> Jeff: Right, but it's kind of funny, 'cause on the flip side of that coin is people who are willing to give up their privacy to get more services, so you've got kind of the older folks, who've been around for a while, who think of privacy, and then you've got younger folks, who maybe haven't thought about it as much, are used to downloading the app, clicking on the EULA in their phone-- >> Absolutely. >> Follows them everywhere they go. So, is it really more the regulation that's driving the change? Or is just kind of an ongoing maturation process? >> Well I think-- >> Stewardship is I guess what I was saying. >> Yeah, it's a combination of both I would say. And you make a great point there, so if you look at car buying, right? Say 10 years ago, pick a number randomly, but 10 years ago, people wouldn't have been comfortable buying a car online, necessarily. Or definitely not all online. They'd have to touch it somewhere else, feel it physically, right? That's changing, and we're starting to enable that automotive commerce, so that it starts from the online and ends up at a dealership still. So they actually sign the paperwork, but essentially they start that process online. And that's making people more aware, as you say. I think some of the regulation, you look at GDPR in Europe, spoke of that a lot today, naturally. And some of that regulation is helping to drive companies to be more aware. But where I see the biggest problem is with small to medium sized businesses. So I think if you talk to larger business, you were speaking to Michel from Cisco, some of those larger businesses, this privacy thing's been built in from the beginning. Companies like CDK, where we were aware we were dealing with a lot of data, and therefore the GDPR regulations is more of an incremental change. It just ramps up that focus on privacy that was already there from the outset. The biggest problem, and where we see the biggest kind of change here, is in the smaller to medium sized businesses, and that's talking about dealerships, smaller dealership groups, where perhaps they haven't been so aware of privacy, they've been focused on the sales and not necessarily the data and technology, and GDPR for them is a significant step change. And it's down to industry, and larger vendors like ourselves, to reach out to those smaller dealerships, those smaller, medium sized businesses, and help them to work with GDPR to do better. >> But can they fulfill most of their obligations by working with companies such as yours, who have it baked into the product? I would imagine-- >> Yeah! >> I mean, that's the solution, right? >> Absolutely. >> If you're a little person, you don't have a lot of resources-- >> Yep. And I would say it's about sharing in the industry, right? So it's about reaching out. We talked to Cisco today, about how they're building it into their technologies. A lot of the smaller businesses use companies like CDK to enable their technology. So there's an awful lot we can do to help them, but it's not everything, right? So there are areas where we need to educate consumers a lot better, where they need to work with the data and work with where the data goes, in order to understand that full end to end data flow within their systems. We work a lot of the dealerships who perhaps don't understand the data they're collecting, don't understand the gravity of the information that they're collecting, and what that truly means to the consumer themselves. So we need to educate better, we need to reach out as bigger organizations, and teach smaller businesses about what they're doing with the data. >> And was there specific kind of holes in process, or in data management that the GDPR addresses that made a sea change? Or is it really just kind of ramping up the penalties, so you need to really ramp up your compliance? >> Well it really is incremental, right? So if you look at things that we've had in Europe for a long time, the Data Protection Act that was around since 1999, for example, or 1998, apologies. It's a ramp up of that, so it's just increasing the effectiveness. If you look at the 12 points that exist within GDPR, about what you need to know, or a consumer should know about their data, rather than just who's collecting it, it now includes things like when you change that data, when it moves, who it goes to from a third-party perspective, so really it's just about ramping up that awareness. Now, what that means for a business, is that they need to know that they can gather that data quickly. So they need to be clear and understand where their data is going, and CDK's a great example of that. They need to know what data they're sharing with CDK, on what systems it exists, and in fact how they would remove that data if a consumer was asked for that to happen. >> Jeff: (laughs) Who knows, we know in the cloud there is no deleting, right? >> Absolutely. >> It's in the cloud, it's there for everyone. >> That's rough (laughs). >> I mean, it really drives home kind of an AS application agent service provider services, because there's just, I could just see the auto dealership, right? Some guy's got his personal spreadsheet, that he keeps track of his favorite customers, clearly I don't think that's probably falling in compliance. >> Absolutely, yeah, and it can, right? You can work really hard, so it is a process problem. You identified that before, right? There is a lot of process here, technology isn't a golden bullet, it's not going to solve everything, right? And a lot of it is process and mentality driven. So we need to work with people to educate them, and then there's a big emphasis on the consumer as well. I think we focused on business here, but there's a big emphasis on the consumer, for them to begin to understand and be better educated. We heard from some government representatives today, about educating consumers, right? And you mentioned millennials, and the various other groups that exist, and it's important for them to understand where their data is going, and where it's being shared. 'Cause quite honestly we had a couple of really good stories today about privacy and security professionals really not having a genuine understanding of where their data is going. So a regular consumer, someone that goes to buy a car, how can we expect them, without education, to really understand about their data? >> Just to jump on it, obviously you're from the U.K., and we hear all the time that there's more closed circuit cameras in London (laughter) than probably any city else-- >> Yep. >> So, don't answer if you don't want to, but, (laughter) from a government point of view, and let's just take public red light cameras, there's so much data. >> Absolutely. >> Is the government in a position? Do they have the same requirements as a commercial institution in how they keep, manage and stay on top of this data? >> Yeah, absolutely. So I think, having come from a government background initially, I think the rules and regulations there are much more constrained, constrictive? then perhaps commercial side is. And I think what you find is a lot of the government regulations are now filtering through into the commercial world. But actually what we're seeing is a bit of a step change. So previously, maybe 15, 20 years ago, the leader in the industry was the government, right? So the government did the regulations, and it would filter through commercial. Actually, what we've seen in the industry now is that it flipped on its head. So a lot of the stuff is originating in the corporate world. We're close to Silicon Valley here, the Facebooks of the world, you know a lot of that stuff is now originating in the commercial side? And we heard from some government people today, you know. The government are having to run pretty fast to try and keep up with that changing world. And a lot of the legislation and regulation now, actually, is a bit historic, right? It's set in the old days, we talk today about data, and watching you move around, and geolocation data, a lot of that legislation dealing with that is probably 10, 15 years old now. And exists in a time before you could track your phone all over the world, right? And so, governments have to do some more work, I think ultimately, look at GDPR, I think ultimately the way to change the industry is from a basis of regulation, but then as we move through it's got to be up to the companies and the commercial businesses to take heed of that and do the right thing, ultimately. >> Jeff: It's just so interesting to watch, I mean my favorite is the car insurance ads where they want to give you the little USB gizmo to plug in, to watch you, and it's like, "Well, you already have "a phone in your pocket"-- >> Yep. >> You know? >> They don't really see it. >> You don't really need to plug it in, and all your providers know what's going on, so, exciting times, nothing but opportunity for you. >> Yeah, absolutely, absolutely, I hope so (laughs). >> Well Craig Goodwin, thanks for taking a few minutes-- >> No, thank you. >> And sharing your insights, appreciate it. >> Appreciate it, thank you. >> Alright, he's Craig, I'm Jeff, you're watching theCUBE, We're at Data Privacy Day 2018, I can't believe it's 2018. Thanks for watching, we'll catch you next time. (bright electronic music)