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yeah exactly but thank you for making it all the way through the summer say I think we have a great session today I'm just gonna introduce our two speakers first we have Dave Fletcher who's the CIO for the state of Utah a very innovative state I'll let Dave talk about some of the many innovative things the state of Utah is doing not only with AWS but with their whole IT infrastructure Dave and I had a chance to talk before the session and probably one of the most forward leaning States I think in the country and what they're doing with connected vehicles and IOT out there so I'll let Dave talk to the rest of that and then after Dave speaks we have Sarah Watts who's the general manager for Utah interactive and I know the state of Utah and I see are very close partners if you're not familiar with in IC they're one of our really close partners I'm really glad we had a chance to get them up on stage today they provide a whole range of services to their state to state governments around the United States they also have quite a large federal practice as well that's growing rapidly they do things they really the innovators around public and private partnerships right so when you really think about states and being challenged with budgets they really come up some really creative solutions to allow the states that we all live in and work in and start businesses then grow and thrive by doing things like building mobile applications for States and handling all the park permitting and boat and license boat licenses those kind of things right so I'll and I'll let Sarah talk about that but with no further ado I'll let Dave come up and we appreciate your time and attendance today all right thanks how it okay and we're hoping the slides progress it's like it works alright alright so we we've got a small intimate group here but powerful groups so we just wanted to get an idea as we get started on sort of the demographics because it was sort of hard at this conference it seemed like there's people a lot of a lot of federal people or any federal people here raise your hands only one or two federal ok state government a few state government people how many provide services for federal ok how many provide services for state and local any education people out there ok so we've got a pretty much a cross-section of everything really I'm just going to introduce our first our first segment and and Sarah is going to take that over but we're going to talk about a few things that we've been working on with with AWS and in the cloud and to begin with we'll talk about a solution that we're developing using long term data storage some some pretty large applications that we that we've moved to the cloud and then we're going to talk about some of the things that we've done with Alexis some of the services that that we built and a little bit about how that how that went and I think we're the first state to put in an application a skill on Alexa and it's been really useful for us in fact we've had a good response from our citizens in terms of the kinds of services that we're putting there and and then finally some things that we've done with with analytics and sentiment analysis with with AWS so we'll start there and then after Sara's done we'll talk a little bit about policy and strategy and some of those overarching issues and how how the cloud has benefited us and how we expect to move forward in the future so Sara why don't you go ahead and and talk about what we're doing and have done so far great thank you Dave Dave wouldn't tell you but I've worked with Dave now for 19 years over well 16 but Dave's been doing specifically digital government in the state of Utah for a long time and he is a great innovator himself he really helps leave the state and innovation I'm lucky that I've been able to work with him for so long because it gives the opportunity to build a lot of these great solutions and the first one really being law enforcement video storage and and I see my parent company works in 27 different states like Alec said and build solutions for for these states but typically we design we develop build host maintain on our own network these solutions this one in particular posed a little bit of a problem for us and and that led us to AWS for the first time so in 2015 you may recall that the Justice Department gave 23 awarded twenty three million dollars in cameras body cameras to police officers and that was great they got twenty three million dollars worth of cameras and a little bit of training with those cameras but it wasn't long before the Department of Public Safety in Utah and I'm sure around the nation realized that there was a problem and they came to us saying what do we do now with all this data and we knew based on what they were telling us that it was not a solution that we would be able to it was not a solution that we were gonna be able to host in our current infrastructure there were a lot of data storage challenges and first obviously is the amount of data but also the management of that data and then the fact that their privacy concerns with the data and security concerns it's considered criminal justice information so it needs to be covered by sija security compliance so the amount of data just to give you a quick idea of what we believed we were facing at the time there was a hundred this just the Department of Public Safety Utah Highway Patrol knew that they were getting about a hundred and fifty six terabytes of data annually that they needed to store for that year um so as we looked at the years okay that's 156 terabytes of data for 500 officers but that was really just with their body worn cameras it turns out that they also had they have five cameras essentially they have rear vehicle cameras they have a cage camera in the car they have an angle camera they call their DUI camera you've all seen that footage right no some of you are in their footage and some of you and some of you have seen it on to you and and then to add to that they knew they would have to retain some of that footage becomes evidentiary and they have to retain it for longer periods of time ten years in our state and that can vary across jurisdictions that time so if we were just looking at body worn cameras we knew within ten years we'd be storing about 437 terabytes of data just for Utah Highway Patrol so you know here's our four hundred and thirty seven terabytes of data ramped up over ten years but if you looked at all of the officers in Utah you were talking about you know they they have 4,800 officers and that was 4,000 terabytes of data and this was not taking into consideration the other camera footage that might be available and the fact that cameras continue to get better then there's more data storage so the amount of data was the first daunting issue for us but it really didn't stop there because what was happening is Utah Highway Patrol themselves had two cameras and those two cameras had two different storage solutions so the camera is the camera providers actually have storage solutions and you may have heard of them but they're different so getting access to that meant you were accessing two different storage solutions for those two cameras and there are lots of people that actually need to access this data so there's the non-public data that goes through the court system and courts need to access it lawyers need to access it and that could be anywhere in the state that they need to get that data and there are then there's public data and the media needs to access that and it did not seem feasible to the state long term to provide all these different solutions in fact they they estimated that they were looking at about 23 different storage solutions so they knew they wanted a centralized data blade database of this police video footage so where would all of that happen and then how does it get managed data wise there's obviously the retention question and that retention can vary there's a chain of custody question and that's what we learned that law enforcement calls it chain of custody who has access to the data whose modified the data and then dissemination the interesting thing to me about dissemination of the data is the the previous practice was to get this video footage put it on a CD and then the PIO would run it as quickly as they could in a vehicle or and Utah's a fairly big state so sometimes they'd have a six hour drive to get video footage to the media with courts usually they could mail it but there is certainly a dissemination problem and then they were looking at uploading and tagging that footage when police officers arrived back at the station towards the end of their shift that was taking approximately two hours at the end of their shift so they would have a shift for six hours and come in to spend the rest of their time uploading and tagging videos so a bit of an issue there and then there's the whole question of redaction video does quite often need to be redacted there are privacy concerns with the video and you know where there could be minors in a home that they enter or there are innocent people in video footage and they don't want them shown in video that becomes public usually not evidentiary so all of the those issues and then you compound the fact that we needed something that was appropriate for the criminal justice information that it was with security compliance and all of those solutions led or all of those challenges led us towards AWS we were able to look at the long term data storage with glacier for a lot of that the evidentiary file so that we weren't putting all of our you know 4,000 plus terabytes in s3 and paying for that so we were able to cost optimize and we have been able to use gov cloud it's been that's been interesting as well the state was insistent upon it and then they weren't and then they were insistent upon it again and now they're backing off from that but the good thing for us is that the option is there we did realize that we had to build differently we had to architect a little bit differently to put an end of cloud and there have been plenty of sessions on that but AWS in their own literature or literature will tell you they're willing to actually have people get background checks if needed and all kinds of stuff that made the really what that became for the state was it made them feel a lot more comfortable with this solution so all of these you know challenges around law enforcement data storage led us to AWS for the first time and as we as we entered into that world I guess we realized well actually we realized that there were a lot of innovative opportunities for us as well so today we still have challenges with this solution it is being used by the Utah Highway Patrol and we're slowly getting other local jurisdictions to start piloting putting their data up there but there is still an issue with the translation of the metadata from proprietary camera providers and we have to translate that and figure out how to translate it that becomes a problem bandwidth for upload of the video footage at each one of those local offices some of them almost in the middle of nowhere becomes a problem that the state has worked really hard and AWS has even gotten involved to see how to increase that bandwidth speed for law enforcement and then they are currently doing manual redaction of the video but the innovation I mentioned has kind of we've seen so many opportunities there right with automated redaction could eventually be a possibility with Amazon recognition we're really excited about that prospect you can see here the you know I'm I may be the innocent person in the picture and I want my face redacted from that video so that my challenged friend can it's not me that one is Alec yes so he's the star of that video and we've also been looking into possibilities of partnering with non-proprietary camera provider and hopefully a long-term that can be a better solution for states instead of buying these proprietary cameras or camera providers we'll start to open up their metadata a little more easily but that those opportunities with AWS and during the 2015 year and then the fact that Alexa as a smart speaker was becoming a lot more ubiquitous in homes led us to start thinking about how we could use Alexa in government and that that became that became a fun interesting challenge for us where we are very used to helping agencies with their mission of educating the public right they have public information campaigns all of them they need to do things educate the public and they are very we've become very familiar with doing that over web channels desktop mobile tablet and Alexa offers that same opportunity just a different medium and so we were able to start with a driver safety practice exam which has become near and dear to my heart at my son recently turned 15 and this driver safety practice exam he's a lot more apt to do on Alexa than he would sit down and read a manual so he can go into his room and on his dot practice the driver safety exam and I am hoping by the time he gets his license he may know a little bit about not texting and driving notaries in the state can practice their notary exam and you may have heard Marilyn talk about their phishing application we actually built that first Dave wants to be sure everybody knows that and we called it fishing hotspots and that was the I mean that's just a fun implementation you can ask Alexa you know what's biting at a certain River stream lake and Alexa can tell you what bait to you and when it was last stocked and you know what is biting in that area public meeting notices in your area not as exciting but to some people to a very small demographic having public meeting notice information about specific topics is important to them and they can get it right there and we're in the process of working on some ballot education initiatives with alexa in this process it became very obvious and and and it was for other reasons becoming obvious to us but especially with alexa we realized that all these different channels quickly become overwhelming right if you've got alexa and your mobile may be mobile app may be mobile responsive in your desktop site how do we continue to maintain all of those services in in a way that doesn't take as much time and effort as building at six different times and that really it really pushed us towards building everything that we all the data that we need to expose in to rest api now we've got lots and lots of services so this is going to be an ongoing effort for a while to get all of them up to speed that way but as we build things now it's definitely in this pattern and that has also that has also made us realize that the more of these rest api is we have the more publicly available we need to make them that then other people can build from this same data and and offer their own channels for this information that government has it's really kind of brought back to us in a real-life way the final thing that we were able to and we've done quite a few things utilizing AWS but the final thing we're getting really excited about artificial intelligence and so we wanted to just make kind of a quick foray into this to to understand it a little bit better see how we could use it so we used existing day and we have a lot of online services so all these services that we offer online vehicle registration renewal and a lot of the stuff that alec talked about we have feedback on and so we took that feedback data and we were actually able to look at it for a you know over the course of six years and we looked at 25 different online services and ran it through AWS comprehend offline I mean it was not a it's not a real-time thing or anything it was just something easy we wanted to do to look at sentiment and key phrases something that's native available in comprehend and easy to look at and we were able to easily as you can see here look at all of our services and track the positive sentiment over the years and the negative sentiment and it wasn't like we weren't looking at this information we were but when you're looking at the information one at a time or maybe the way that we were accumulating it and getting statistics on it this offered a little bit of a differet perspective and that was fun for us to be able to see this sentiment data you know how much of it was coming in that was positive how much of it was coming in it was negative maybe what happened into 2014 that caused that negative shift and and analyzed that a little bit but we could also track all those applications and compare them in this way we also looked at key phrases that popped out and we knew some of the key phrases we're gonna be you know log in and the the typical the payment issues and stuff like that that we typically would see but we realized that there are some other kind of hidden issues maybe with CAPTCHA or something like that and what that led us to understand is that if we can start doing this real-time that we may be able to pick up on some of those key phrases that change that trend up and down over time if we can catch those key phrases quickly enough we can actually see if there's a problem with something across all of our applications CAPTCHA is a good example of that we don't get I mean we try and get notifications set up for anything that could possibly go down or have an issue but the database goes down we know immediately and failover whatever we need to do but third-party things like CAPTCHA or what if Google changes their API for that and we have no idea that all of a sudden starts causing a problem it may take us a while to react to that this will give us another avenue for getting that that information more quickly and we can set up alerts real-time alerts to go to product managers that can see those changes in key phrase trends so we feel like there is a lot of opportunity just in the data that we we already ran through comprehend if we just get it set up real time and start applying triggers to that information there will there's a lot of value to us but long term of course we're interested in more you know more reasons to use AI to provide to help us not just provide better services to citizens but to actually create new avenues and channels for citizens to get the help that they need so we're excited about the potential with AI and I know Dave especially has been talking about it for a long time so we're excited to kind of start making more moves in that direction and that brings us to the States digital government strategy that Dave's gonna cover I may cover something different I don't know Sarah so they told me I could come down here because I can see you better so let's see anyone here from Arizona no yeah we were talking to Arizona a couple of weeks ago the the people down there and and their governor just came out and said that they have three years to move everything to the cloud they're gonna get rid of all their data centers pretty cool but hopefully they they have the right plans there I I guess I'm really excited about where we're at today because we're really at another convergence ten years ago I thought that this was really exciting because we had the convergence of mobile and of and we're just getting into cloud and we had social media and all these things seemed new and exciting but I think today is really a time when when we're surpassing that with the convergence the nexus of forces that that they refer to with AI and IOT and and cloud and and it's really a time where we are enabled to do some things that are going to be so extremely so exciting digital government strategy meets the cloud we've been I've been working on digital government it seems like forever and it's sort of been my life for a while I need to correct Alec I'm actually the CTO and not the CIO I need to make sure that I don't try to okay so anyway our whole focus in the past was really this focus on on developing new services for the public because it had a huge benefit for the public they save time they save money we've done lots of public surveys to measure that and they love digital government you know people generally aren't that excited about working with government paying taxes and all that kind of stuff but in Utah they love paying taxes because they can do it online and it's simple they love renewing their vehicle license and and now you know most states have all those basic services now so we've come a long way and and government is doing a lot better in those areas than they have in the past and and the websites look more interesting they don't look like they did in the past where they're boring and and so so what where are we gonna go next I think that's where we want to talk a little bit we still save a tremendous amount through digital government right and any state or any one that provides services from a government perspective needs to be doing all those online because when we serve it when we did an extensive assessment a few years ago in conjunction with the Center for Public Policy and administration at the University of Utah we identified an average savings for digital government of about 13 dollars per transaction so in Utah now we do we don't do as many as like California because we don't have 37 million people but we do about 37 million transactions online so you can do the math and see that the ROI on digital government that we've been doing trying to put together for the last 20 years has been tremendous so we're gonna have a greater impact I think obviously over the next 20 years maybe over the next five as we begin to do deeper integration of these kinds of fantastic technologies into into government whatever level of government you're working at it's just gonna be tremendous we need deep integration of artificial intelligence to manage the way we deliver government services we need I owe to be able to connect things so many different things we're working I Alec mentioned our fleet we're in the process of connecting all of our fleet vehicles and and we talked about about the our buses are all connected so that when when a bus is behind schedule the signal the traffic signals automatically adjusts to be able to get those buses back on schedule and all of those things produce an ROI just like we had with digital government where we're seeing you know hundreds of millions of dollars of savings really the state of Utah has fewer employees today than it had in 2002 even though our population has gone up by probably 70 or 80 percent we're the fastest growing state in the country I believe right now or among the among the fastest and so anyway how do we maintain that trend of improved services and innovation if we put all of our services online where do we go next in terms of digital government and we're obviously hoping that that AWS and cloud services are going to be a big part of that even though we consolidated all of our data centers back in 2009 and that saved us a few million dollars a year we had 38 data centers we consolidated them into into two data centers a primary and a backup so I think one of the things that did even though we had a cloud strategy a hybrid cloud strategy that we put together in 2009 because we had consolidated our data centers we virtualized all of our all of our server farm and so we had a lot a lot of savings I think that probably slowed us down from where we would have moved to the to infrastructure as a service so we began to use a lot of a lot of sass and and different kinds of platform as a service applications but today we're looking at trying to develop a all right the Utah digital government platform some of you who are Gartner clients may have seen something similar to this because they talked a lot about about moving to a digital government platform for business or digital government or a government excuse me a digital business platform for business and so we're looking at developing our digital government platform and as you see it has five component here down on the lower right is really focused on our internal systems right are the the government systems that make government work like the the erps the CRM systems and we have a variety of other systems in Utah but they're the core systems that make government run on the other upper left is what we've been working on primarily for the last 10 or 20 years which are the customer facing applications that we're developing for for citizens primarily the citizen portal public facing ID and a fennec ation digital assistant services and and things like that they're our presence on with social media and then you have some others that you don't think about so much on the upper right are the ecosystems platforms where you're trying to to connect to all the different ecosystems that government interacts with so one that we're particularly working on right now is our healthcare ecosystem trying to connect to all the hospitals all of the doctors offices the clinics making the key connections through api's to all of those different services so that the the government services that we provide to them can be done seamlessly for example neonatal screening for for newborns we want to make sure that that we don't lose newborns in the process today our that process has been paper bound so when they send blood blood tests and those kind of things to our state laboratory that they get the results back quickly so that if there's a problem it can be quickly remedied and taken care of and so we're making those connections by by developing a common ID platform between the state and and all the members of that ecosystem which is obviously quite a large ecosystem and we have many other ecosystems it may be law enforcement with all the all the local law enforcement partners that we have private agencies etc so each of these ecosystems as large and requires probably a an entire ap management piece that starts to connect all of those partners with state government down here on the left is our IOT platform which includes sensor networks it includes all of the things that we want to connect to vehicles traffic signals etc etcetera and then really what makes it all work is intelligence right and data so that's the key is the data and analytics platform which needs to become an increasingly intelligent and again that is a place where we probably need some help deep integration of AI into government is not something that we are proficient at I would say at this point in time and yet this is where the biggest benefit is going to come for government is by tying all of these things together for better management for better process flows for all of the things that need to happen seamlessly so this has sort of been the timeline for us we developed a hybrid cloud strategy back in 2009 we updated it again in 2011 and today our real emphasis is getting to i infrastructure-as-a-service we're a little weak in that area but we're making we're making a lot of progress and really I think that's due to we've established some standards across the state Utah is a consolidated IT state a lot of states in the past have been widely decentralized so each government for I won't go into which states but some governments have dozens and dozens of individuals CIOs over their individual departments and and how much they work together it can vary tremendously so there's a lot of there's almost as different as many different models as there are States in terms of where we're at in terms of centralization and decentralization and there may be advantages to both we've found a lot of benefit by through centralization where we can we've saved probably a few hundred million dollars in the process of consolidating our IOT and being able to develop common infrastructure and systems and work together a little better obviously it still presents some challenges in terms of ensuring that we're meeting all of the business needs and that we have the kinds of relationships with all of the individual agencies that we need to make them successful in in achieving their goals phase three we have a lot of things we're trying to do we want to align the potential cloud investments that we're making with state priorities ensuring that that we meet what it is that the governor wants to accomplish that the legislature wants to accomplish obviously in a political environment you have many different masters when you're an IT organization our individual agencies as well as meeting the needs of citizens so we have a lot of masters and we want to make sure that that we're aligning our cloud investments with those priorities then we want to make sure that we also have the capabilities to liver the services in the cloud yesterday I think I think the keynote talked about some tremendous things in terms of of educating the workforce and that's a big need that we have we've worked with AWS training with Pluralsight and other other vendors to be able to develop training that's really focused on on being able to deliver the capabilities that we want delivered in the cloud and so to do that we've sort of standardized on a set a subset of AWS services in terms of our IT organization because we know that going out the gate we are not going to be proficient in a hundred and forty plus services that Amazon is delivered or that AWS is delivering to us and so we're trying to get proficient in as many as we can but we're starting with a subset so that we we know when agencies come to us and we can clearly communicate these are the services that we know how to deliver to you and we'll expand those in the future and we're letting them know that in fact so that so we have actually a larger set of standards and some we can deliver on today and we know that we're going to be able to do that effectively others will be tomorrow and in the future and we're setting dates for when we'll be able to deliver and provide those specific services probably a little slower than I would like but we want to in the process of doing that reduce the risks of new system implementation failures and be able to identify those services that are most tactical for us in terms of the AWS offering so we focused on a few like the IOT platform recognition there's there's a number of services that we've identified as being strategic for us and we've set those as standards through our architecture review board so these are a few of the recommendations that we're at with right now I don't know if you're all familiar with one of the biggest challenges for government is contracting and going through the process of being able to acquire services because of the restrictions that we have so Utah's lead state on a naspo contract naspo value point which is a tremendous resource because it because we can just procure things rather than having to go through multiple RFPs or our contracting processes now that that's in place I think there's about a hundred and eighteen purchasing addenda from from different states across the country all 50 states that participated in this and and so we're leveraging that contract we're developing a comprehensive catalog of all the cloud services as we add them to our portfolio so agencies can know how to get those services what they mean for them in terms of capabilities and and then we're focused we're still working on improving the state's private cloud and really working on a number we've worked through quite a few different proof of concepts in terms of private cloud infrastructure as a service capabilities and then we're developing greater proficiency in supporting cloud products and services next we're working on developing models to make connections between cloud and on-premise ervices so we need to be able to connect data from our on-prem platform with data in the cloud and be able to deliver services based on data wherever it exists and then obviously we have a major focus on ensuring that that those platforms are secure so implementing a cloud security gateway and access broker solution improving the provisioning process also a big one I think for states that are like ours where we're all based we're based on cost recovery we don't get appropriated any funds so we need to address deficiencies in our cost recover model we've talked to a lot of states and and and various states have different cost recovery models we want to keep that as simple as possible so if you look at for example what Minnesota is doing it's just a cost plus 19% that to cover their management and security pieces that they're adding to to their AWS servicesand then we want to make progress in our use of containerization we expect a lot of benefits as we continue our our migration to cloud faster time to business impact lower barriers to experimentation I think easy obviously elasticity is a big motivator for us we can roll up instances for testing and development and and then enabling new digital government services and ecosystems I think we've a while ago come to the realization like probably many of you that that we cannot maintain on-prem what what you get from an AWS obviously because they're rolling out new services all the time and and we just want to build on top of that reduction and tempo and technical debt and greater access to the innovation drivers that are available in the cloud obviously they're still still some challenges and still challenged by governance and security issues when you're dealing with lots of agencies and and systems figuring out the expense etc what we've had out adopted as our standards as the core ec2 RDS glacier redshifts data pipeline and cloud formation our security suite that we're working with currently is may see inspector KMS guard duty cloud locks and cloud trail for innovation and elasticity Amazon Lex the IOT platform and lightsail and Sarah talked about before I before I wrap up how we're partnering to deliver innovations with Alexa that's one of our fun things anyway it's been it's been fun and I think it's gonna get a lot more interesting over the next few years so it's an exciting time to be involved with with AWS with cloud with the kinds of services that are available to improve services to government so it's a good time to be in in digital government I guess we've got it for you time a little bit some time watches if anybody has anything no right there great industry forums like nacio yeah we we participate in quite a few different settings the National Association of state CIOs is probably the one we participate in the most and and that meets twice a year and then we've got a variety of others but there's only so much time so I sort we sort of have to limit it to some degree yeah but there's a lot of discussion across all the states on on cloud right now when we first started talking about it in 2000 tation at nacio in 2009 and there were only two states who are even thinking about cloud and some who didn't even know what it was we've come a long way in the last 10 years that's another question right there I'm sorry could you expand a little bit on why you looked at going to gov cloud then decided not to go to go cloud and now might be looking at going like what were the decision factors I'm just curious to know a little bit more about that if you can kind of discuss that a little bit discuss gov cloud yeah why go in why not what what's what are the factors that you are looking at to make that decision Sarah's gonna talk about it related to DTS or D public safety and it had more really to do with the business leaders and business decision makers a Department of Public Safety and their apprehension and then they're maybe not so much apprehension over the security and the governance of the data that was going to be there and so at first they were really apprehensive with an AWS solution they were apprehensive with a cloud solution I should say and and over you know the course of three or four months they became a lot more comfortable with that and once they were comfortable with it and realized that security wasn't was you know was gonna be just as good if not better than what you know was already being provided they felt comfortable enough to say we don't need to pay the extra cost of gov cloud and then the other people came in and concerns ramped up again and so the decision was made okay let's move this to gov cloud and so we did and now you know as they're that they're paying costs the question is you know or we're it do we really need the value of it being engulf clouds so I don't know that there's anything really to learn from that other than it would be ideal if when you build a solution you know whether you're gonna be in gov cloud or not because changes have to be made so we're doing more education now obviously since that was a few years ago and things have changed a lot there's more certain more services available on gov cloud we heard today that than there were last year that's been always one of my concerns with gov cloud is that we don't get all the services right away like you do on normal WS platform and so for me I want to have as much available in the platform as I can I also want to get the cost benefits from sure that you know that we have in the regular cloud that but some agencies are not haven't been as comfortable as we have in terms of the assurances that we have and that's for various reasons we'll sort of see where we go I think it's still evolving I think in terms of how fast gov cloud can keep up with with it with the other cloud services and whether we really need that in most cases we need that assurance that comes from gov cloud and there are lots of applications where we really don't and so we can take advantage of the the greater service capability and of the cheaper price which are obviously both motivators do you mean do you think that that's more in essence a perception issue you know like 80% perception issue or do you think there really are factors where okay you really need to put this in gov cloud given I you know now I think it's about ninety ten I think ninety of it is perception where they've heard that gov cloud is much more secure I think we can make the the public cloud just as just as secure as gov cloud and you know most of those cases and so if it isn't absolutely required by the particular regulations that are associated with the application I think we're gonna be comfortable and I'm sorry no I was just gonna there are certain instances where you absolutely have to use gov cloud for compliance and in those cases it's great that it's available right and it's really the interpretation of CGI data right and that's really kind of a very clear delineating factor whether it needs to go and cloud or not and you know like Dave spoken about we have a lot of customers who are very sensitive to the cost so going into gov cloud right but sometimes there's just the type of data that you're storing there necessitates the move one way or the other I was just curious to know what the role of the state legislatures the state legislature was for this did were they committed to this do they help you what's the role of the state policy maker here and accelerating this vision actually the state legislature in this case was concerned about the centralization of the data that was their big concern so they did pass legislation saying that the solution needed to have some kind of centralized component for access but the state realized that long before the legislature passed the legislation and was working towards that solution anyway the other role that the legislature will play is in redaction rules the the length of and you know where that could it could change every single year those redaction rules could and so we just have have had to build a solution that can be flexible for whatever they decide so question and metadata management you had the use case of the volume of data on camera what was your strategy managing that metadata you said there were challenges what were your lessons to learn we're still trying to figure out the strategy there to be completely honest but the original strategy was we would put the video up and people would use their own a different player we'd have links to the players and they could play that the video from the different players from the different providers and we thought that parsing the metadata on that file would be easy it turns out that some of it is easy and then some of it is really hard and we really need to provide that metadata so that the police officer isn't tagging all kinds of information about the files it's better if it's native because there's there obvious problems that could occur just from mistake mistakes and entry but it also it alleviates a concern that some of it was fabricated and those surgeons in custody the chain of custody so anyway that metadata were just we it's kind of a slog we work through it with the camera provider we try and get the Department of Public Safety to put a little bit of pressure on them but it's the state of Utah we're small and so sometimes they will give us the information so that we can parse that made it metadata and sometimes they won't we have to kind of reverse engineer whatever we can did that answer the question hopefully and then we have one last question right there and I think we didn't need to go to the closing reception so we can see hardik dance this will be pretty fast I don't thanks I'm curious on the AI side particularly for your citizen facing apps right have you looked at any AI supplementation so that there's intelligence there around just Q&A where do I find not just not just like Analects app where you're looking at available info but for example Georgia Tech has a master's in computer science program are about 50% of the TAS the teaching assistants are virtual they're BOTS and the students can't tell the students have very great difficulty telling whether it's a real person they're interacting with or whether it's a bot and I'm just wondering whether you've looked at as part of the next generation you're moving to more AI yeah this actually had lots of discussions on that I think in nacio and other settings where we're going with that we haven't settled on particular solutions right now but we have taken over 30,000 chat interactions from our from the online customer service team we've taken thirty thousand of those chats and we've been running them through a different AI platform to see if we can to see what kind of information we can glean there to get in that direction so yeah there's we're trying we recognize there's huge advantages to being able to do that for lots of different reasons and yeah obviously a lot of people are already doing that so we're probably behind and the private sector and at least yeah our hope is that we don't make that like a decision tree kind of like an IV our implementation of and we've seen that what we want to do is have it be a lot more artificial intelligence based and so we're trying we're really just trying to look for a good solution good question alright I think we just got the hook [Applause]
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