(upbeat music), (logo pop up) >> Narrator: From around the globe it's theCUBE. Presenting active DQ intelligent automation for data quality brought to you by IO-Tahoe. >> Are you ready to see active DQ on Snowflake in action? Let's get into the show and tell him, do the demo. With me or Tiji Matthew, the Data Solutions Engineer at IO-Tahoe. Also joining us is Patrick Zeimet Data Solutions Engineer at IO-Tahoe and Senthilnathan Karuppaiah, who's the Head of Production Engineering at IO-Tahoe. Patrick, over to you let's see it. >> Hey Dave, thank you so much. Yeah, we've seen a huge increase in the number of organizations interested in Snowflake implementation. Were looking for an innovative, precise and timely method to ingest their data into Snowflake. And where we are seeing a lot of success is a ground up method utilizing both IO-Tahoe and Snowflake. To start you define your as is model. By leveraging IO-Tahoe to profile your various data sources and push the metadata to Snowflake. Meaning we create a data catalog within Snowflake for a centralized location to document items such as source system owners allowing you to have those key conversations and understand the data's lineage, potential blockers and what data is readily available for ingestion. Once the data catalog is built you have a much more dynamic strategies surrounding your Snowflake ingestion. And what's great is that while you're working through those key conversations IO-Tahoe will maintain that metadata push and partnered with Snowflake ability to version the data. You can easily incorporate potential scheme changes along the way. Making sure that the information that you're working on stays as current as the systems that you're hoping to integrate with Snowflake. >> Nice, Patrick I wonder if you could address how you IO-Tahoe Platform Scales and maybe in what way it provides a competitive advantage for customers. >> Great question where IO-Tahoe shines is through its active DQ or the ability to monitor your data's quality in real time. Marking which roads need remediation. According to the customized business rules that you can set. Ensuring that the data quality standards meet the requirements of your organizations. What's great is through our use of RPA. We can scale with an organization. So as you ingest more data sources we can allocate more robotic workers meaning the results will continue to be delivered in the same timely fashion you've grown used to. What's Morrisons IO-Tahoe is doing the heavy lifting on monitoring data quality. That's frees up your data experts to focus on the more strategic tasks such as remediation that augmentations and analytics developments. >> Okay, maybe Tiji, you could address this. I mean, how does all this automation change the operating model that we were talking to to Aj and Dunkin before about that? I mean, if it involves less people and more automation what else can I do in parallel? >> I'm sure the participants today will also be asking the same question. Let me start with the strategic tasks Patrick mentioned, Io-Tahoe does the heavy lifting. Freeing up data experts to act upon the data events generated by IO-Tahoe. Companies that have teams focused on manually building their inventory of the data landscape. Leads to longer turnaround times in producing actionable insights from their own data assets. Thus, diminishing the value realized by traditional methods. However, our operating model involves profiling and remediating at the same time creating a catalog data estate that can be used by business or IT accordingly. With increased automation and fewer people. Our machine learning algorithms augment the data pipeline to tag and capture the data elements into a comprehensive data catalog. As IO-Tahoe automatically catalogs the data estate in a centralized view, the data experts can partly focus on remediating the data events generated from validating against business rules. We envision that data events coupled with this drillable and searchable view will be a comprehensive one to assess the impact of bad quality data. Let's briefly look at the image on screen. For example, the view indicates that bad quality zip code data impacts the contact data which in turn impacts other related entities in systems. Now contrast that with a manually maintained spreadsheet that drowns out the main focus of your analysis. >> Tiji, how do you tag and capture bad quality data and stop that from you've mentioned these printed dependencies. How do you stop that from flowing downstream into the processes within the applications or reports? >> As IO-Tahoe builds the data catalog across source systems. We tag the elements that meet the business rule criteria while segregating the failed data examples associated with the elements that fall below a certain threshold. The elements that meet the business rule criteria are tagged to be searchable. Thus, providing an easy way to identify data elements that may flow through the system. The segregated data examples on the other hand are used by data experts to triage for the root cause. Based on the root cause potential outcomes could be one, changes in the source system to prevent that data from entering the system in the first place. Two, add data pipeline logic, to sanitize bad data from being consumed by downstream applications and reports or just accept the risk of storing bad data and address it when it meets a certain threshold. However, Dave as for your question about preventing bad quality data from flowing into the system? IO-Tahoe will not prevent it because the controls of data flowing between systems is managed outside of IO-Tahoe. Although, IO-Tahoe will alert and notify the data experts to events that indicate bad data has entered the monitored assets. Also we have redesigned our product to be modular and extensible. This allows data events generated by IO-Tahoe to be consumed by any system that wants to control the targets from bad data. Does IO-Tahoe empowers the data experts to control the bad data from flowing into their system. >> Thank you for that. So, one of the things that we've noticed, we've written about is that you've got these hyper specialized roles within the data, the centralized data organization. And wonder how do the data folks get involved here if at all, and how frequently do they get involved? Maybe Senthilnathan you could take that. >> Thank you, Dave for having me here. Well, based on whether the data element in question is in data cataloging or monitoring phase. Different data folks gets involved. When it isn't in the data cataloging stage. The data governance team, along with enterprise architecture or IT involved in setting up the data catalog. Which includes identifying the critical data elements business term identification, definition, documentation data quality rules, and data even set up data domain and business line mapping, lineage PA tracking source of truth. So on and so forth. It's typically in one time set up review certify then govern and monitor. But while when it is in the monitoring phase during any data incident or data issues IO-Tahoe broadcast data signals to the relevant data folks to act and remedy it as quick as possible. And alerts the consumption team it could be the data science, analytics, business opts are both a potential issue so that they are aware and take necessary preventative measure. Let me show you an example, critical data element from data quality dashboard view to lineage view to data 360 degree view for a zip code for conformity check. So in this case the zip code did not meet the past threshold during the technical data quality check and was identified as non-compliant item and notification was sent to the ID folks. So clicking on the zip code. Will take to the lineage view to visualize the dependent system, says that who are producers and who are the consumers. And further drilling down will take us to the detailed view, that a lot of other information's are presented to facilitate for a root cause analysis and not to take it to a final closure. >> Thank you for that. So Tiji? Patrick was talking about the as is to be. So I'm interested in how it's done now versus before. Do you need a data governance operating model for example? >> Typically a company that decides to make an inventory of the data assets would start out by manually building a spreadsheet managed by data experts of the company. What started as a draft now get break into the model of a company. This leads to loss of collaboration as each department makes a copy of their catalog for their specific needs. This decentralized approach leads to loss of uniformity which each department having different definitions which ironically needs a governance model for the data catalog itself. And as the spreadsheet grows in complexity the skill level needed to maintain. It also increases thus leading to fewer and fewer people knowing how to maintain it. About all the content that took so much time and effort to build is not searchable outside of that spreadsheet document. >> Yeah, I think you really hit the nail on my head Tiji. Now companies want to move away from the spreadsheet approach. IO-Tahoe addresses the shortcoming of the traditional approach enabling companies to achieve more with less. >> Yeah, what the customer reaction has been. We had Webster Bank, on one of the early episodes for example, I mean could they have achieved. What they did without something like active data quality and automation maybe Senthilnathan you could address that? >> Sure, It is impossible to achieve full data quality monitoring and remediation without automation or digital workers in place reality that introverts they don't have the time to do the remediation manually because they have to do an analysis conform fix on any data quality issues, as fast as possible before it gets bigger and no exception to Webster. That's why Webster implemented IO-Tahoe's active DQ to set up the business, metadata management and data quality monitoring and remediation in the Snowflake cloud data Lake. We help and building the center of excellence in the data governance, which is managing the data catalog schedule on demand and in-flight data quality checks, but Snowflake, no pipe on stream are super beneficial to achieve in flight quality checks. Then the data assumption monitoring and reporting last but not the least the time saver is persisting the non-compliant records for every data quality run within the Snowflake cloud, along with remediation script. So that during any exceptions the respect to team members is not only alerted. But also supplied with necessary scripts and tools to perform remediation right from the IO-Tahoe's Active DQ. >> Very nice. Okay guys, thanks for the demo. Great stuff. Now, if you want to learn more about the IO-Tahoe platform and how you can accelerate your adoption of Snowflake book some time with a data RPA expert all you got to do is click on the demo icon on the right of your screen and set a meeting. We appreciate you attending this latest episode of the IO-Tahoe data automation series. Look, if you missed any of the content that's all available on demand. This is Dave Vellante theCUBE. Thanks for watching. (upbeat music)

(upbeat music), (logo pop up) >> Narrator: From around the globe it's theCUBE. Presenting active DQ intelligent automation for data quality brought to you by IO-Tahoe. >> Are you ready to see active DQ on Snowflake in action? Let's get into the show and tell him, do the demo. With me or Tiji Matthew, the Data Solutions Engineer at IO-Tahoe. Also joining us is Patrick Zeimet Data Solutions Engineer at IO-Tahoe and Senthilnathan Karuppaiah, who's the Head of Production Engineering at IO-Tahoe. Patrick, over to you let's see it. >> Hey Dave, thank you so much. Yeah, we've seen a huge increase in the number of organizations interested in Snowflake implementation. Were looking for an innovative, precise and timely method to ingest their data into Snowflake. And where we are seeing a lot of success is a ground up method utilizing both IO-Tahoe and Snowflake. To start you define your as is model. By leveraging IO-Tahoe to profile your various data sources and push the metadata to Snowflake. Meaning we create a data catalog within Snowflake for a centralized location to document items such as source system owners allowing you to have those key conversations and understand the data's lineage, potential blockers and what data is readily available for ingestion. Once the data catalog is built you have a much more dynamic strategies surrounding your Snowflake ingestion. And what's great is that while you're working through those key conversations IO-Tahoe will maintain that metadata push and partnered with Snowflake ability to version the data. You can easily incorporate potential scheme changes along the way. Making sure that the information that you're working on stays as current as the systems that you're hoping to integrate with Snowflake. >> Nice, Patrick I wonder if you could address how you IO-Tahoe Platform Scales and maybe in what way it provides a competitive advantage for customers. >> Great question where IO-Tahoe shines is through its active DQ or the ability to monitor your data's quality in real time. Marking which roads need remediation. According to the customized business rules that you can set. Ensuring that the data quality standards meet the requirements of your organizations. What's great is through our use of RPA. We can scale with an organization. So as you ingest more data sources we can allocate more robotic workers meaning the results will continue to be delivered in the same timely fashion you've grown used to. What's Morrisons IO-Tahoe is doing the heavy lifting on monitoring data quality. That's frees up your data experts to focus on the more strategic tasks such as remediation that augmentations and analytics developments. >> Okay, maybe Tiji, you could address this. I mean, how does all this automation change the operating model that we were talking to to Aj and Dunkin before about that? I mean, if it involves less people and more automation what else can I do in parallel? >> I'm sure the participants today will also be asking the same question. Let me start with the strategic task. Patrick mentioned IO-Tahoe does the heavy lifting. Freeing up data experts to act upon the data events generated by IO-Tahoe. Companies that have teams focused on manually building their inventory of the data landscape. Leads to longer turnaround times in producing actionable insights from their own data assets. Thus, diminishing the value realized by traditional methods. However, our operating model involves profiling and remediating at the same time creating a catalog data estate that can be used by business or IT accordingly. With increased automation and fewer people. Our machine learning algorithms augment the data pipeline to tag and capture the data elements into a comprehensive data catalog. As IO-Tahoe automatically catalogs the data estate in a centralized view, the data experts can partly focus on remediating the data events generated from validating against business rules. We envision that data events coupled with this drillable and searchable view will be a comprehensive one to assess the impact of bad quality data. Let's briefly look at the image on screen. For example, the view indicates that bad quality zip code data impacts the contact data which in turn impacts other related entities in systems. Now contrast that with a manually maintained spreadsheet that drowns out the main focus of your analysis. >> Tiji, how do you tag and capture bad quality data and stop that from you've mentioned these printed dependencies. How do you stop that from flowing downstream into the processes within the applications or reports? >> As IO-Tahoe builds the data catalog across source systems. We tag the elements that meet the business rule criteria while segregating the failed data examples associated with the elements that fall below a certain threshold. The elements that meet the business rule criteria are tagged to be searchable. Thus, providing an easy way to identify data elements that may flow through the system. The segregated data examples on the other hand are used by data experts to triage for the root cause. Based on the root cause potential outcomes could be one, changes in the source system to prevent that data from entering the system in the first place. Two, add data pipeline logic, to sanitize bad data from being consumed by downstream applications and reports or just accept the risk of storing bad data and address it when it meets a certain threshold. However, Dave as for your question about preventing bad quality data from flowing into the system? IO-Tahoe will not prevent it because the controls of data flowing between systems is managed outside of IO-Tahoe. Although, IO-Tahoe will alert and notify the data experts to events that indicate bad data has entered the monitored assets. Also we have redesigned our product to be modular and extensible. This allows data events generated by IO-Tahoe to be consumed by any system that wants to control the targets from bad data. Does IO-Tahoe empowers the data experts to control the bad data from flowing into their system. >> Thank you for that. So, one of the things that we've noticed, we've written about is that you've got these hyper specialized roles within the data, the centralized data organization. And wonder how do the data folks get involved here if at all, and how frequently do they get involved? Maybe Senthilnathan you could take that. >> Thank you, Dave for having me here. Well, based on whether the data element in question is in data cataloging or monitoring phase. Different data folks gets involved. When it doesn't the data cataloging stage. The data governance team, along with enterprise architecture or IT involved in setting up the data catalog. Which includes identifying the critical data elements business term identification, definition, documentation data quality rules, and data even set up data domain and business line mapping, lineage PA tracking source of truth. So on and so forth. It's typically in one time set up review certify then govern and monitor. But while when it is in the monitoring phase during any data incident or data issues IO-Tahoe broadcast data signals to the relevant data folks to act and remedy it as quick as possible. And alerts the consumption team it could be the data science, analytics, business opts are both a potential issue so that they are aware and take necessary preventative measure. Let me show you an example, critical data element from data quality dashboard view to lineage view to data 360 degree view for a zip code for conformity check. So in this case the zip code did not meet the past threshold during the technical data quality check and was identified as non-compliant item and notification was sent to the ID folks. So clicking on the zip code. Will take to the lineage view to visualize the dependent system, says that who are producers and who are the consumers. And further drilling down will take us to the detailed view, that a lot of other information's are presented to facilitate for a root cause analysis and not to take it to a final closure. >> Thank you for that. So Tiji? Patrick was talking about the as is to be. So I'm interested in how it's done now versus before. Do you need a data governance operating model for example? >> Typically a company that decides to make an inventory of the data assets would start out by manually building a spreadsheet managed by data experts of the company. What started as a draft now get break into the model of a company. This leads to loss of collaboration as each department makes a copy of their catalog for their specific needs. This decentralized approach leads to loss of uniformity which each department having different definitions which ironically needs a governance model for the data catalog itself. And as the spreadsheet grows in complexity the skill level needed to maintain. It also increases thus leading to fewer and fewer people knowing how to maintain it. About all the content that took so much time and effort to build is not searchable outside of that spreadsheet document. >> Yeah, I think you really hit the nail on my head Tiji. Now companies want to move away from the spreadsheet approach. IO-Tahoe addresses the shortcoming of the traditional approach enabling companies to achieve more with less. >> Yeah, what the customer reaction has been. We had Webster Bank, on one of the early episodes for example, I mean could they have achieved. What they did without something like active data quality and automation maybe Senthilnathan you could address that? >> Sure, It is impossible to achieve full data quality monitoring and remediation without automation or digital workers in place reality that introverts they don't have the time to do the remediation manually because they have to do an analysis conform fix on any data quality issues, as fast as possible before it gets bigger and no exception to Webster. That's why Webster implemented IO-Tahoe's active DQ to set up the business, metadata management and data quality monitoring and remediation in the Snowflake cloud data Lake. We help and building the center of excellence in the data governance, which is managing the data catalog schedule on demand and in-flight data quality checks, but Snowflake, no pipe on stream are super beneficial to achieve in flight quality checks. Then the data assumption monitoring and reporting last but not the least the time saver is persisting the non-compliant records for every data quality run within the Snowflake cloud, along with remediation script. So that during any exceptions the respect to team members is not only alerted. But also supplied with necessary scripts and tools to perform remediation right from the IO-Tahoe's Active DQ. >> Very nice. Okay guys, thanks for the demo. Great stuff. Now, if you want to learn more about the IO-Tahoe platform and how you can accelerate your adoption of Snowflake book some time with a data RPA expert all you got to do is click on the demo icon on the right of your screen and set a meeting. We appreciate you attending this latest episode of the IO-Tahoe data automation series. Look, if you missed any of the content that's all available on demand. This is Dave Vellante theCUBE. Thanks for watching. (upbeat music)

>>from around the globe. It's the Cube covering HP. Discover Virtual experience Brought to you by HP. >>Welcome to the Cube's coverage of HP Discover 2020 Virtual Experience. I'm Lisa Martin, and I'm pleased to be joined by two guests from HP longtime partner Tech Data. We have calling Blair the vice president of sales and marketing of I. O. T. And Data Solutions and David Smith, H P E Pre Sales Field Solutions are common. And David, Welcome to the Cube. Thanks, Lisa. Great to see. So let's start with the calling. HP and Technical have been partners for over 40 years, but tell our audience a little bit about tech data before we get into the specifics of what you're doing and some of the cool I o. T. Stuff with HP. I >>think that the Tech data is a Fortune 100 distributor. We continued to evolved to be a solutions aggregator in these next generation technology businesses. As you've mentioned, we've been serving the I T distribution markets globally for for 40 plus years, and we're now moving into next generation technologies like Wild Analytics, I O. T and Security bubble Lifecycle Management services. But to be able todo position ourselves with our customer base and the needs of their clients have. So I'm excited to be here today to talk a little bit about what we're doing in I, O. T. And Analytics with David on the HPC side >>and in addition to the 40 plus years of partnership calling that you mentioned that Detected and HP have you've got over 200 plus hp. Resource is David, you're one of those guys in the field. Talk to us about some of the things that you're working on with Channel Partners Table David to enable them, especially during such crazy times of living and now >>absolutely, absolutely so. What we can do is we can provide strong sales and technical enablement if your team, for example, wants to better understand how to position HP portfolio if they require assistance and architect ing a secure performance i o t. Solution. We can help ensure that you're technical team is fully capable of having that conversation, and it's one that they're able to have of confidence, weaken validate the proposed HP solutions with the customers, technical requirements and proposed use case. We can even exist on a customer calls, if it would, would benefit our partner to kind of extend out to that. We also have a a a deep technical bench that Colin can speak to in the OT space toe lean on as well. For so solution is that kind of span into the space beyond where HP typically operates, which would be edge, compute computing and network. Sic security. >>Excellent call and tell me a little bit about Tech Data's investments in I o. T. When did this start? What are you guys doing today? >>Sure, we started in the cloud space. First tackle this opportunity in data center modernization and hybrid cloud. That was about seven years ago. Shortly thereafter we started investing very materially in the security cyber security space. And then we follow that with Data Analytics and then the Internet of things. Now we've been in those spaces with our long term partners for some time. But now that we're seeing this movement to the intelligent edge and a real focus on business outcomes and specialization, we've kind of tracked with the market, and we feel like we've invested a little bit ahead of where the channel is in terms of supporting our ecosystem of partners in this space. >>So the intelligent edge has been growing for quite some time. Poland in the very unique times that we're living in in 2020 how are you seeing that intelligent edge expand even more? And what are some of the pressing opportunities that tech data and HPC i O T solutions together can address? >>So a couple. So the first is a Xai mentioned earlier just data center modernization. And so, in the middle of code 19 and perhaps postcode 19 we're going to see a lot of clients that are really focused on monetizing the things that they've got. But doing so to drive business outcomes. We believe that increasingly, the predominance of use cases and compute and analytics is going to move to the edge. And HP has got a great portfolio for not just on premise high performance computing but also hybrid cloud computing. And then when we get into the edge with edge line and networking with Aruba and devices that need to be a digitized and sense arised, it's a really great partnership. And then what we're able to do also, Lisa, is we've been investing in vertical markets since 2000 and seven, and I've been a long the ride with that team, most all of that way. So we've got deep specialization and healthcare and industrial manufacturing, retail and then public sector. And then the last thing we've kind of turned on here recently just last month is a strategic partnership in the smarter cities space. So we're able to leverage a lot of those vertical market capabilities. Couple that with our HP organization and really drive specialized repeatable solutions in these vertical markets, where we believe increasingly, customers are going to be more interested in a repeatable solutions that can drive quick proof of value proof of concepts with minimal viable what kinds of products. And that's that's kind of the apartment today with RHB Organization and the HP Corporation >>David. Let's double click into some of those of vertical markets that Colin mentioned some of the things that pop into minor healthcare manufacturing. As we know, supply chains have been very challenged during covered. Give us an insight into what you're hearing from channel partners now virtually, but what are some of the things that are pressing importance? >>So from a pressing and important to Collins exact point, and your exact point as well is really it's all about the edge computing space now from a product perspective Azaz Colin had mentioned earlier. HP has their edge line converged systems, which is kind of taking the functionality of OT and edge T Excuse me of OT and I t and combine it into a single edge processing compute solution. You kind of couple that with the ability to configure components such as Tesla GP, use in specific excellent offerings to offer an aid and things like realtime, video processing and analytics. Uh, and a perfect example of this is, ah so for dissing and covert space. If if I need to be able to analyze a group of people to ensure they're staying as far apart as possible or, you know within self distant guidelines, that is where kind of the real time that's like an aspect of things can be taken advantage of same things with with the leveraging cameras where you could actually take temperature detection as as well, so it's really kind of best to think of Edge Lines Solutions is data center computing at the edge kind of transition into the Aruba space. Uh Rubio says offerings aid in the island Security is such a clear pass device inside, which allows for device discovery of network and monitoring of wired and wireless devices. There's also Aruba asset tracking and real time location of solutions, and that's particularly important in the healthcare space as well. If I have a lot of high value assets, things like wheelchairs, things like ventilation devices, where these things low located within my facilities and how can I keep keep track of them? They also, and by that I mean HP. They also kind of leveraging expanse ecosystem of partners. As an example, they leverage thing works allow their i o t solutions as well, when you kind of tying it all together with HP Point. Next to the end, customers provided with comprehensive loyalty solution. >>So, Colin, how ready? Our channel partners and the end user customers to rapidly pivot and start either deploying more technologies at the edge to be able to deliver some of the capabilities that David talked about in terms of analytics and sensors for social distancing. How ready are the channel partners and customers to be able to understand, adopt and execute this technology. >>So I think on the understanding side, I think the partners are there. We've been talking about digital transformation in the channel for a couple of years now, and I think what's happened through the 19 Pandemic is that it's been a real spotlight on the need for those business outcomes to to solve for very specific problems. And that's one of the values that we serve in the channel. So we've got a solution offering that we call our solution factory. And what we do really says is we leverage a process to look outside the industry. At Gartner, Magic Quadrant Solutions forced a Wave G two crowd. You know, top leaders, visionaries and understand What are those solutions that are in demand in these vertical markets that we talked about? And then we do a lot of work with David and his team internally in the HP organization to be able to do that and then build out that reference architectures so that we know that there's a solution that drives a bill of materials and a reference architecture that's going to work that clients are going to need and then we can do it quickly. You know, Tech data. Everything's about being bold, acting now getting scale. And we've got a large ecosystem partners that already have great relationships. So we pride ourselves on being able to identify what are those solutions that we can take to our partners that they can quickly take to their end users where you know we've We've kind of developed out what we think the 70 or 80% of that solution is going to look like. And then we drive point next and other services capabilities to be able to complete that last mile, if you will, of some of the customization. So we're helping them. For those who aren't ready, we're helping them. For those who already have very specific use cases and a practice that they drive with repeatable solutions were coming alongside them and understanding. What can we do? Using a practice builder approach, which is our consultative approach to understand where our partners are going in the market, who their clients are, what skill sets do they have? What supplier affinities do they want to drive? What brand marketing or demand generation support do they need? And that's where we can take some of these solutions, bring them to bear and engage in that consultative engagement to accelerate being ready as, as you rightly say, >>so tech. It has a lot of partners. You in general. You also have a lot of partners in the i o T space calling What? How do you from a marketing hat perspective? How do you describe the differentiation that Tech data and HP ease Iot solutions delivered to the channel to the end user? >>A couple of different things? I think that's that's differentiation. And that's one of the things that we strive for in the channel is to be specialized and to be competitively differentiated. And so the first part, I say to all of my team, Lisa, is you know, whether it's our solution consultants or our technical consultants, our solutions to the developers or the software development team that works my organization. Our goal is to be specialized in such a way that we're having relevant value added conversations not only our channel partners, but also end users of our partners want to bring us into those conversations, and many do. The next is really education and enablement as you would expect. And so there's a lot of things that are specialized in our technical. We drive education certification programs, roadshows, seminars, one of the things that we're seeing a lot of interest now. Lisa is for a digital marketing, and we're driving. Some really need offerings around digital marketing platforms that not only educate our partners but also allow our partners to bring their end users and tour some of this some of these technologies. So whether it's at our Clearwater office, where we've got an I. O T. Solution center, that we we take our partners and their clients through or we're using our facilities Teoh to do executive briefings and ideation as a service that, you know, kind of understanding the art of the possible. With both our resellers and their clients work, we're using our solution. Our solution catalogs that we've built an interactive pdf that allows our partners to understand over 50 solutions that we've got and then be able to identify. Where would they like to bring in David and his team and then my consultants to do that, that deep planning on business development, uh, that we talked about a little bit earlier. >>So the engagement right now is maybe even more important than it has been in a while because it's all hands off and virtual David. Talk to me about some of the engagement and the enablement piece that call and talked about. How are you able to really keep a channel partner and their end user customers engaged and interested in what you're able to deliver through this from New Virtual World? >>That's a great, great question. And we work in conjunction with our marketing teams to make sure that as new technologies and quite in I O. T space as well as within the HP East base as well that that our channel partners are educated and aware that these solutions exist. I know for a fact that for the majority of them you kind of get this consistent bombardment of new technology. But being able to actually have someone go out and explain it and then being able to correspondingly position it's use case and it's functionality and why it would provide value for your end customer is one of the benefits of tech data ads to kind of build upon that previous statement. The fact that We have such a huge portfolio of partners, so you kind of have HP and the edge compute space. But we have so many different partners in the OT space where it's really just a phone call, an email, a Skype message, a way to have that conversation around interoperability and then provide those responses back to our partners. >>Excellent. One more question before we go. Colin for you, A lot of partners. Why HP fry Mt. >>So a couple of reasons? One of the one of the biggest reasons as HP is just a great partner. And so when you look at evaluating I. O. T solutions that tend to be pretty comprehensive in many cases, Lisa it takes 10 or 12 partners to complete a really i o t solution and address that use case that that's in the field. And so when you have a partner like HP who's investing in these programs, investing in demand generation, investing in the spectrum of technology, whether it's hybrid Cloud Data Center, compute storage or your edge devices and Iot gateways, then to be able to contextualize those into what we call market ready solutions in each one of these vertical markets where there's references and there's use cases. And there were coupling education that specific rest of solutions. You know HP can do all of those things, and that's very important. Because in this new world, no one can go it alone anymore. It takes it takes partnerships, and we're all better together. And HP really does embrace that philosophy. And they've been a great partner for us in the Iot space. >>Excellent. Well, Colin and David, thank you so much for joining me today on the Cube Tech data. H p e i o t better together. Thank you so much. It's been a pleasure talking with you. >>Thank you. >>Thank you. Lisa. >>And four Collet and David. I am Lisa Martin. You're watching the Cube's virtual coverage of HP Discover 2020. Thanks for watching. Yeah, yeah, yeah, yeah.

>> live from Washington, D. C. It's the Cube covering a ws public sector summit by Amazon Web services. >> Welcome back, everyone to the cubes Live coverage of a ws public sector Here in our nation's capital Washington D. C. I'm your host Rebecca. Night hosting alongside of John Farrier. Always a pleasure being with you. >> So good to see you again. >> And we're joined by first time Cube guest Brett MacMillan. He is the GM ground station. Eight of us. Thanks so much for coming on >> the road to be here. Thank you. >> So why don't you start by telling our viewers a little bit about ground station? What? It is one of us. >> You're first of all really excited to be here at this conference yesterday we had our second annual Earth Science Day. Last year was really successful, and we're finding a huge amount of interest around a space and space primarily tto help save the earth. And so >> eight of >> us came out with the solution, and we made it generally available last month called Ground Station. And if you think back about 15 years ago, before the commercial cloud came out, uh, you had to do for a data center. You Hey, either had to buy the data center. You had to do a long term lease. And then >> we >> came out with the commercial cloud. And from that point forward, there was a tremendous number of innovations. That movie came out of that. I don't think any of us back then could have predicted things like Pin arrests O R. Spotify Or or that Netflix would have gone from shipping your DVDs to be in the online streaming company and all those innovations happening, we think that we're at the beginning of that stage of satellite industry. So what ground station is is It's a service that you can use like any other cloud service. Just pay for what you used on demand. You can scale up you, Khun scale down. And we think that we're in the early stages of opening up innovations in this >> industry >> and its satellite specific. So it's a satellite services of connectivity. How how's it work? What's that >> s what happened to you. You would have a you just go into the eight of us counsel on you schedule a contact. And most of these early use cases there for our low earth orbit. Satellites are medium earth orbit satellites, and we have deployed these satellite antennas. And what's really important about this is we put them right next to our data centers or availability zones. So now you're getting the entire power of the cloud. And so what happens is you would schedule contact and either up Linker downlink your data during that contact period. And we just charge per per minute. And >> so it's like the two was servers and still has three. With storage and thie used. Case wasn't solved. The provisioning problem. So you guys are doing it for up Lincoln down Lincoln to satellite usage and data over satellite. Pretty >> direct. Correct. And so And the other thing that's really nice about it is just like the cloud would announce enable people to go global and minutes ground station allowed you to go global also. So, traditionally, what would happen if you would buy a satellite antenna or you'd Lisa Sal? I'd intended somewhere in the world and you're only catching so many passes of those satellites. We are deploying these at our data centers through out the world, and so you're able to at a very low cost. Now touch these passes of the sound lights. >> You know, Brett, Rebekah and I were talking on the intro around the role of technology. How it's causing a lot of change. You mentioned that window of 10 years where, before YouTube, after YouTube, all these new services came on. Think about it. Those didn't exist around before. Two thousand four time frame. Roughly two thousand 10 2 4 2 4 to 5. Then the mobile revolution hit. Similar wave is coming into government and seeing it. Amazon Webster Public Sector Summit is our fourth year. It gets bigger. The inclusion of space is a tell sign of commercialization of some of the tech coming in infiltrating process, change within government and use cases. So I would agree with you that that's relevant. >> Yeah, And >> next level is what? What was that window? What's gonna happen that 10 year? >> You don't change? It is hard to predict, but we know from our past experience on what we've done in the cloud. We know that when you remove the undifferentiated heavy lifting like buying servers are doing networks and things like that. It frees people up to do innovations on DH And when you look at what's happening in the satellite industry, virtually every industry, every person can benefit from a better understanding of this earth and from satellite imagery and satellite sensing. And so, if you start moving forward with that and you ask what can happen, we've got governments throughout the world that are very concerned about deforestation. And so, for example, today they find out 54 station after the trees are gone. And what if you could instead, for a very low cost, download pictures of satellite images and get it in more of a really time type basis? Or get it in that same hour that, uh, sound like took the picture. Now what you could do is catch the deforestation when the boulders air show up, not after the trees went down, so >> get in front of it. Used the data is a data business just about other use cases, because again, early adopters are easily the developers that are hungry for the resource. We saw that with cloud to industry, I mentioned now those service thousands and thousands of new services a year from a baby s jazz. He loves to talk about that at reinvent, and it's pretty impressive. But the early days was developers. They were the ones who have the value. They were thirsty for the resource. What are the sum of that resource? Is what's the low hanging fruit coming in for ground station that you could share that tell sign for >> where it's going? Interest not only for the his new developers in these new things, but large, established sound like companies are very interested in that, because when I was talking about earlier, you can cover areas with our service in ways that were very expensive to do. Like until you Ground Station would have been a little hard for us to roll out, had we not first on eight of us if you didn't first have things like Ace two and three and your ways of of storing your data or our petabytes scale worldwide network. And so when you look at that, you're able to get multiple different organizations doing some really cool things. We're in partnership with Cal Poly, Cal Poly and Cal Poly's been in the space industry for a long time. Back in 1999 they were one of the inventors of original Cube sat, and today what they're doing is they have this STDs, Sally Data Solutions service on. It's an initiative that they're doing and they did a hackathon. And when you look at all the areas that could benefit from from space and satellite tourists, all kinds of things pop up. So, for example, if your cattle rancher and you have a very large area, sometimes cat cat will get stuck in an area like a canyon or something. You don't find out about it. It's too. It's too late. So Cal Poly did this hackathon on DH. What they came up with is, it's very inexpensive now to put a I ot device on it on the cows on with the ground station. You can now download that information you can communicate to a satellite, and now we can find out how where those cows are and get them if they're in a dangerous situation. I >> think the eye OT impact is going to be huge. Rebecca, think about what we talked about around Coyote. I ot is the edge of the network, but there's no networks, not flat. It's in space. The earth is round right, so You know, it's kind of like a Christopher Columbus moment where if you have the data, all you need power and connectivity. So battery power is getting stronger every day. Long life batteries. But the connectivity with ground station literally makes a new eye ot surface area of the earth. Absolutely. I mean, that's pretty groundbreaking. >> This is a really exciting time to be in the space industry. A couple things are driving it. One is that the capabilities that were able to put up in space for the same amount of weight and the same amount of payload is increasing dramatically. The only thing that's happening is that the cost for lift the cost to put satellites and and orbit is dropping dramatically. And so what's happening with those two things is were able to get a lot more organisations putting satellites up there. And what's turning out is that there's a tremendous number of images and sensing capabilities. It's coming down actually more than the humans are able to analyze. And that's where the cloud comes in is that you take and you download this information and then you start using things like machine learning and artificial intelligence and you can see anomalies and point them out to the humans and say, for example, these balls are just showed up. Maybe we should go take a look at that. >> You know, imagery has always been a hot satellite thing. You see Google Earth map three D mapping is getting better. How is that playing into it? Is that a use case for you guys? I mean, you talk about the impact. Is that something we all relate to >> you and I would submit that we are in the early stages of that. It's amazing what we can do with their damaging today. And everybody on their phones get Google maps and all the other things that are out there. But we're in early stages of what we could do with that. So some areas that we're looking at very closely. So, for example, during the California wildfires last year, NASA worked on something to help out the people on the ground. You know, with ground station, what you'll be able to do is do more downloads and get more information than a more real time basis, and you'll actually be able to look at this and say the wildfires are happening in these areas and help the citizens with escape routes and help them understand things that were actually hard to determine from the ground. And so we're looking at this for natural disasters as well as just Data Day solutions. >> It's such an exciting time, and you and your pointing at so many different use cases that have a lot of potential to really be game changers. What keeps you up at night about this, though? I mean, I think that they're as we know, there's a lot of unintended consequences that comes with these new technologies and particularly explosion of these new technologies. What are what are your worries? What what is the future perils that you see? >> So So we definitely are working with these agencies of the federal government and commercial things on making sure that you can sit. You're the data. But again, that was one of the benefits of starting with a ws. We started with security being a primary of part of what we did. And so when when you have ground station, you do a satellite uplink for downlink, and then you immediately tell it where in the world you want the data to be stored. So, for example, we could download, Let's say, in another part of the world, and then you can bring it back to the nine states and store it in your we call a virtual private cloud. It's a way for our customers to be able to control their environment securely. And so we spent a lot of time explain to people how they could do that and how they could do it securely. And so, uh, well, it doesn't keep me awake at night, But we spend a tremendous amount of time working with these organisations, making sure that they are using best practices when they're using our solution. Right? >> Talk about the challenges you mentioned, storing the securely role of policy. We're living in a world now where the confluence of policy science tech people are all kind of exploding and studio innovation but also meet challenges. What are some of the things that you guys are doing? Obeys the bar improving? I mean, I'll say there's early days, so you're seeing areas to improve. What if some of the areas that you're improving on that are being worked on now on impact >> So you mentioned policy side of it. What I'd like Teo say is any time there's a new technology that comes out way. Have to do some catching up from, You know, the policy, the regulator point in front of you right now because the satellite industry is moving so fast. Um, there's a scale issues on. So governments throughout the world are looking at the number of satellites they're going up in, the number of communications are happening, and they're working with that scale on Andi. I I'm very proud to say that they're reacting. They were acting fairly quickly on DH. That's one of the areas that I think we're going to see more on is as this industry evolves, having things like having antennas insert and antennas and satellite certified quickly is one of the things that we need to talk. >> Some base infrastructure challenges mean Consider space kind of infrastructure. At this point, it plenty of room up there currently, but can envision a day with satellites, zillion satellites up there at some point. But that gets set up first. You're saying the posture. The government is pro innovation in this area. >> Oh, you're wasting a lot of interest in that way. We launched ground station governments both here in this country as well as throughout the world, very interested in this on DH. They see the potential on being able to make the satellite's on satellite imagery and detection available. And it's not just for those largest organizations like the governments. But it's also when you commercialize this and what we've made it so that small, medium sized businesses now, Khun, get into this business and do innovative things. >> Question. I want to ask. You know, we're tight on time, Rebecca, but we'll get this out. In your opinion. What? What do you think the modernization of public policy governments means? Because the paint on your definition, what modernization is This seems to be the focus of this conference here, a ws re public sector summit. This is the conversation we're having in other agencies. They want to modernize. >> What does that mean to you? It takes on many things. Many perspectives. What? What I find a lot is modernizations is making helping your workers be more productive. And so we do this with a number of different ways. So when you look at ground station. Really? Benefit of it isn't. Can I get the image? Can I get the data? But how can I do something with it? And so when you start applying machine learning artificial intelligence now you can put a point toe anomalies that are happening. And now you can have the people really focus on the anomalies and not look at a lot of pictures. They're exactly the same. So when you look at a modernization, I think it's some economists with How do we make the workforce that's in place more productive >> and find those missing cows? It's Fred McMillan. Thank you so much for coming on the Q. Thank >> you. It was a pleasure. We've >> got a lot of great mark. We got many more gas. Got Teresa Carlson. Jay Carney? >> Yeah. Yeah. General Keith Alexander, About how date is being used in the military. We got ground station connectivity. I really think this is a great opportunity for io. T wait to see how it progresses. >> Excellent. Thank you. >> Becca. Knight for John Furrier. Stay tuned to the Cube.

(techno music) >> Live, from Washington DC, it's theCUBE. Covering AWS Public Sector Summit, 2018. Brought to you by Amazon Web Services and its ecosystem partners. >> Okay, welcome back, everyone, this is the live CUBE coverage here in Washington DC for AWS Public Sector Summit 2018. This is the, kind of like the reinvent for Public Sector. I'm John Furrier, f my co-host Stu Miniman, our next guest is Hardik Bhatt, Smart Cities Vertical Lead for Amazon Web Services, been a former CIO, knows the state and local governments cold. This is a very key area around Internet of Things and technology with cloud, because smart cities have to do not only technology roll outs for some of the new capabilities, but all manage some of the societal changes, like self-driving cars and a variety of other things, from instrumenting sensors and traffic lights and video cam ... I mean, this is a little, just a little ... Welcome to theCUBE. >> Thank you very much, John. Good to see you, Stu, good morning. Looking forward to having a great conversation. >> So, smart cities obviously is really hot, but we love it, because it brings life, and work, life, and play together, because we all live in towns, and we live in cities, and the cities provide services to the residents, transportation, sidewalks, and things that we take for granted in the analog world. Now there's a whole digital set of services coming big time. So, are they prepared? (laughs) It used to be buy a mainframe, then move it to a minicomputer, get a Local Area Network, buy some PCs, buy some network tablets, now the cloud's here. What's your assessment of the smart cities landscape for state and local governments? Because it really is something that's on the front burner, in terms of figuring it out. What's the architecture? Lot of questions. What's your, what's the state of the union, if you will, for-- >> You know it has been, like, how the governments have been for many years, right? Governments exist so that they can provide better services, they can provide better quality of life, they can create an environment where businesses thrive, jobs can be created, education can be given, and you can build a workforce and talent, et cetera. And smart cities is just, I'd say, a trend where, you know, you're using multitudes of technology to kind of help the government get its mission accomplished in a smoother, faster, better, cheaper manner. And a lot of times, I've seen, because how smart cities movement started a decade ago, we kind of compare smart cities with the Internet of Things or the sensors, but smart cities is much more than just the IoT, or the Internet of Things, I mean if you're talking about creating a new stream of data that is real-time, whether coming in from sensors, coming from video, you already as a government, I used to be a CIO for the City of Chicago, we used petabytes of data that was already sitting in my data center, and then there's also this whole third-party data. So smart cities is a lot about how do you as a city are aggregating this different sources of data and then making some action from it, so that ultimately, going back to the city's priorities, you are giving better public safety, or you're providing better public health, or you're providing better education or you're providing, better providing government services. So that's what we are seeing. Our customers are, when we say smart cities, they jump right into, "What problems are you solving?" And that, to me, is the core for Amazon, core for Amazon Web Services. We want to know our customers' problems and then work backwards to solve them. >> What are some of the problems right now that are low-hanging fruit? Because obviously it's an evolution. You set the architecture up, but ultimately governments would love to have some revenue coming in from businesses. You mention that. Education is certainly there. What are some of the challenges there? Is it pre-existing stuff, or is it new opportunities? What are some of the trends you're seeing for use cases? It is actually both pre-existing stuff that they are trying to solve, as well the new stuff, the new opportunities that are getting created, because the technology is much different than what it used to be 10 years ago. The cloud, especially, is creating a lot more new opportunities, because of the nimbleness it brings, the agility it brings. So, in transportation side, we are seeing on one hand, multiple departments, multi-jurisdictional, so state transportation department, as well as a local transportation department, working together to create kind of a virtual information sharing environment or a virtual command center, so that they can detect an accident, a traffic incident, much quicker and respond to that, because now they can aggregate this data. And they're also now adding to that some public safety information. So whether it is a police department, fire department, EMS, so that they can address that incident quickly and then not only clear the traffic and clear the congestion, or reduce the congestion time, but they can also address the, any public safety issue that may have arisen out of that incident that has happened. So, the Department of Transportation, the USDOT, through the Federal Highway Administration, has been giving out $60 million worth of grants to six to ten recipients. The grant, this year's grant period, just closed on Monday, and we worked with multiple customers who are looking to kind of respond to that. So on one hand, it is that. So this is an age-old problem, but new technology can help you solve that. On the other hand, another customer that we worked with is looking for on-demand micro-transit solutions. As you can see, all the ride-sharing applications are making easier to jump in a car and move to one place to the other. It is causing a dip in transit ridership. So the public transit agents, they are looking for solutions to that. So they are looking at, "Can we build an on-demand microtransit "so you can pool your friends and jump into a transit van, as opposed to a private car?" And then you can go from point A to point B in a much more affordable manner. So they are looking at that. On the public health side, you know, we have the DC Benefits Exchange, Health Benefits Exchange, is on AWS, and they have seen significant savings. They have seen $1.8 million of annual savings because they are using cloud and cloud services. On the other hand, you have State of Georgia, which is using Alexa. So they have built Alexa Skills where you can ask, as a resident of State of Georgia getting SNAP benefit, the Supplemental Nutritional Assistance, the food-stamp program, you can say, "Alexa, what's my SNAP balance?" So based on the answer then, based on the balance you know, you can plan your, you know, where you're going to use that money. So we are seeing large volume of data now coming on the cloud where the governments are looking to move kind of the needle. We are also seeing this nimble, quick solutions that can start going out. And we are seeing a lot of driver behind the innovation is our City on a Cloud challenge. So we have seen the City on a Cloud winners, since last so many years, are kind of the ones who are driving innovation and they're also driving a lot of collaboration. So I can, there are three trends that I can jump into as we kind of talk more. >> Yeah, it's interesting. I think back a decade ago, when you talk smarter cities, you'd see this video, and it would look like something out of a science fiction. It's like, you know, "Oh, the flying taxi'll come, "and it will get you and everything." But what I, the stories I have when I talk to CIOs in cities and the like, it's usually more about, it's about data. It's about the underlying data, and maybe it's a mobile app, maybe it's a thing like Alexa Skills. So help us understand a little bit, what does the average citizen, what do they see? How does their, you know, greater transparency and sharing of information and collaboration between what the agencies are doing and, you know, the citizenship. >> I think that's a great question. I mean that is what, as a former CIO, I always had to balance between, what I do creates internal government efficiency, but the citizens don't feel it, don't see it, they don't, it doesn't get in the news media. And on the other hand, I also have to, to my governor, to my mayor, to the agency directors, have to give them visible wins. So, I'll give you an example, so City of Chicago, back in the day, in 2010 when I was the CIO. We did a contract with our AWS, currently AWS Partner Socrata, to open up the data. So that was kind of the beginning of the Open Data Movement, and eventually, I left the city, I went work for Cisco, and the city government continued to kind of build on top of Socrata. And they build what they called the Windy Grid, which is basically bringing all of their various sets of data, so 311, code violations, inspections, crime, traffic, and they built an internal data analytics engine. So now, agencies can use that data. And now, what they did, two years ago, they were one of the City on a Cloud Challenge winners, and they, Uturn Data Solutions is our partner that was the winner of that, and they built Chicago Open Grid. So they basically opened that up on a map-based platform. So now as a citizen of Chicago, I can go on Chicago Open Grid, and I can see which restaurants in, surrounding my area, have failed inspections. Have they failed inspection because of a mice infestation, or was it something very minor, so I can decide whether I want to go to that restaurant or not. I can also look at the crime patterns in my area, I can look at the property values, I can look at the education kind of quality in the schools in my neighborhood. So, we have seen kind of now, and it's all on AWS cloud. >> This open data is interesting to me. Let's take that to another level. That's just the user side of it, there's also a delivery value. I saw use cases in Chicago around Health and Human Services, around being more efficient with either vaccines, or delivery of services based on demographics and other profile, all because of open data. So this brings up a question that comes up a lot, and we're seeing here is a trend, is Amazon Web Services public sector has been really good. Teresa Carlson has done an amazing job leaning on partners to be successful. Meaning it's a collaboration. What's that like in the state and local government? What's the partner landscape look like? What are the benefits for partners to work with AWS? Because it seems obvious to me, it might not be obvious to them. But if they have an innovative idea, whether it's to innovate something on the edge of the network in their business, they can do it, and they can scale with Amazon. What is the real benefits of partnering with AWS? >> You hit a key point on there. Teresa has done a fantastic job in customer management as well as building our partners. Similarly, we have a great leader within the state and local government, Kim Majerus. She leads all of our state and local government business. And her focus is exactly like Teresa: How can we help the customers, and also how can we enable partners to help customers? So I'll give you and example. The City of Louisville in Kentucky. They were a City on a Cloud winner, and they, basically what they're building with a partner of ours, Slingshot, they (laughs) get, I was, I used to be in Traffic Management Authority, back in my days, and we used to do traffic studies. So, basically, they send an intern out with clicker or have those black strips to count the number of cars, and based on that, we can plan whether we want to increase the signal timing on this approach, or we can plan the detours if we close the street, what's the, and it's all manual. It used to take, cost us anywhere from 10 to 50 thousand dollars, every traffic study. So what Louisville did with Slingshot is they got the free Waze data that they get gives all of the raw traffic information. Slingshot brought that on to a AWS platform, and now they are building a traffic analysis tool, which now you can do like a snap of a finger, get the analysis and you can manage the signal-approach timing. The cool thing about this is, they're building it in open source code. And the code's available on GitHub, and I was talking to the Chief Data Officer of Louisville, who's actually going to be speaking at this event later today. 12 other cities have already looked into this. They've started to download the code, and they are starting to use it. So, collaboration through partners also enables collaboration amongst all of our customers. >> And also, I'd just point out, that's a great example, love that, and that's new for me to hear that. But also, to me the observation is, it's new data. So being able to be responsive, to look at that opportunity. Now, it used to be in the old world, and I'm sure you can attest to this, being a CIO back in the day, is okay, just say there's new data available, you have to provision IT. >> Oh my God, yeah. >> I mean, what, old way, new way. I mean, compare and contrast the time it would take to do that with what you can do today. >> It's a big, huge difference. I'll tell you as the CIO for the State of Illinois, when I started in early 2015, in my first performance management session, I asked my Infrastructure Management Team to give me the average days it takes to build a server, 49 days. I mean, you're talking seven weeks or maybe, if you talk, 10 business weeks. It's not acceptable. I mean the way the pace of innovation is going, with AWS on cloud, you are talking about minutes you can spin up that server. And that's what we are seeing, a significant change, and that's why Louisville-- >> And I think you got to think it's even worse when you think about integration, personnel requirements, the meetings that have to get involved. It's a nightmare. Okay, so obviously cloud, we know cloud, we love cloud, we use cloud ourselves. So I got to ask you this could, City in a Cloud program, which we've covered in the past, so last year had some really powerful winners. This has been a very successful program. You're involved in it, you have unique insights, you've been on both sides of the table. How is that going? How is it inspiring other cities? What's the camaraderie like? What's the peer review? Is there a peer, is there a network building? How is that spreading? >> That is actually enabling collaboration in a significant manner. Because, you know, you are openly telling what you want to do, and then you are doing that. Everybody is watching you. Like Louisville is a perfect example where they built this, they're building this, and they're going to share it through open source code to all the cities. 12 is just the beginning. I'd not be surprised if there are 120 cities that are going to do this. Because who doesn't want to save two hundred, three hundred thousand dollars a year? And also lots of time to do the traffic studies. Same thing we have seen with, as Virginia Beach is building their Early Flood Warning System. There are other cities who are looking into, like how do we, New Orleans? And others are looking at, "How do we take what Virginia Beach has built? "And how can we use it for us?" And yesterday, they announced this year of the winners that includes Las Vegas, that includes LA Information Technology Department, that includes the City of Philadelphia, and I've been in conversations with all of the CIOs, CDOs, and the leaders of these agencies. The other thing, John, I have seen is, there's a phenomenal leadership that's out there right now in the cities and states that they want to innovate, they want to collaborate, and they want to kind of make a big difference. >> Hold on, hold on, so one more question, this is a really good question, want to get, follow-up on that. But this, what you're talking about to me signifies really the big trend going on right now in this modern era. You've got large cloud scale. You have open source, open sharing, and collaboration happening. This is the new network effect. This is the flywheel. This is uniquely different. This kind of categorizes cloud. And this wasn't available when IT systems and processes were built, 20, 30 years ago. I mean, this is the big shift, you, I mean do you agree? >> Absolutely, this is the big shift, the availability of the cloud, the ubiquitous nature of mobile platform that people have. The newer way of, like, the natural language processing, use of Alexa is becoming so prevalent in government. I mean, in City of Chicago, 50% of the 311 calls that we used to get in 2010, 3 1/2 million of those were informational in nature. If I could offload that on to my Alexa Skills, I can free up my workforce, the 311 call-takers, to do much better, higher-level, you know, call-taking, as opposed to this. So you're absolutely right. I've seen the trends we are seeing is, there is lots of collaboration going on between the governments and partners. I'm also seeing the governments are going at modernization from different points based on their pain points. And I'm also seeing a definite acceleration in modernization. Government, because the technology, AWS, the cloud, our services that we are seeing. And the pace of innovation that AWS brings is also enabling the acceleration in governments. >> Yeah, to help put a point on the, on the conversation here, there's been for years discussion about, "Well, what is the changing role of the CIO?" You've sat on that side of the table, you know, worked with lots of COs, what do you see is the role of the future for the CIO when, specifically when you talk state and local governments? >> I would say CIO is the kind of has to be an enabler of government services. Because if I go back to my city days and working with a mayor, or my state days, working with a governor, at the end of the day, the governor or the mayor is looking at creating better quality of life, providing better health, better education, better safety, et cetera. And CIO is kind of the key partner in that metrics to enable what the governor, what the mayor, the agency directors want to do. And because now data enables the CIO to kind of quickly give solutions, or AI services, Alexa and Polly and Rekog ... All of these things give you, give me as a CIO, ability to provide quick wins to the mayor, to the governor, and also very visible wins. We are seeing that, you know, CIO is becoming a uniquely positioned individual and leader to kind of enable the government. >> All right, thanks so much for comin' on theCUBE. Love the insight, love to follow up. You bring a great perspective and great insight and Amazon's lucky to have you on the team. Lot of great stuff goin' on in the cities and local governments. It's a good opportunity for you guys. Thanks for coming on, appreciate it. >> Thank you very much. >> It's theCUBE live here in Washington DC for AWS, Amazon Web Services Public Sector Summit, I'm John Furrier, Stu Miniman, again second year of live coverage. It's a packed house, a lot of great cloud action. Again, the game has changed. It's a whole new world, cloud scale, open source, collaboration, mobile, all this new data's here. This is the opportunity, this is what theCUBE's doing. We're doin' our part, sharing the data with you. Stay with us, more coverage from day two, here in Washington, after this short break. (techno music)