WEBVTT 1 00:00:04.320 --> 00:00:09.240 The information economy as a rod. The world is teeming with innovation as new 2 00:00:09.279 --> 00:00:15.279 business models we invent every indistry industry. Inside Analysis is your source of information 3 00:00:15.400 --> 00:00:19.640 and insight about how to make the most of this exciting new era. Learn 4 00:00:19.719 --> 00:00:25.079 more and Inside Analysis dot Comside Analysis dot com. And now here's your host, 5 00:00:25.559 --> 00:00:36.200 Eric Kavanaugh. All right, folks, welcome to the future. Indeed, 6 00:00:36.240 --> 00:00:39.640 it is Monday at three Eastern time. That's when we recorded this show. 7 00:00:39.719 --> 00:00:43.240 Of course some of you are hearing it later. Obviously, time for 8 00:00:43.280 --> 00:00:46.960 Inside Analysis, the only coast to coast radio show that's all about the information 9 00:00:47.000 --> 00:00:50.880 economy or truly Eric Kavanaugh here with our good buddy Eve Mulkers, and we 10 00:00:50.920 --> 00:00:54.759 also have a special guest with us today, the chief product officer and senior 11 00:00:54.840 --> 00:00:59.719 vice president, Rohini Kasturi is here with us from Solar Winds. So the 12 00:00:59.719 --> 00:01:03.439 show is all about winds of change, how an industry leader is evolving. 13 00:01:03.960 --> 00:01:07.519 And I'll just say a couple quick words we'll bring our guests in. Things 14 00:01:07.560 --> 00:01:11.840 are changing dramatically in the enterprise software space, my goodness, in the past 15 00:01:11.879 --> 00:01:17.799 twenty years. It is just remarkable how much change has taken place, whether 16 00:01:17.840 --> 00:01:22.680 that's the cloud whether it's artificial intelligence, whether it's big data for example, 17 00:01:23.159 --> 00:01:26.439 or open source. Open source in and of itself has really fundamentally changed how 18 00:01:26.519 --> 00:01:32.799 enterprise software is designed, deployed, managed. And we have these stacks. 19 00:01:32.879 --> 00:01:34.840 Now, we have GitHub, now we have Copilot, we have all these 20 00:01:34.879 --> 00:01:38.239 things going on. What does that all mean. It means the world is 21 00:01:38.400 --> 00:01:42.799 very, very, very complex. And so things like security and governance, 22 00:01:42.840 --> 00:01:47.359 which have always been difficult, which have always been hard to do, have 23 00:01:47.519 --> 00:01:51.879 gotten significantly harder. So what's the response to that. Well, obviously you 24 00:01:51.959 --> 00:01:55.680 have to get better at what you're doing. And so these security vendors, 25 00:01:55.680 --> 00:02:00.439 the governance vendors, the observability vendors will talk about that. Today all of 26 00:02:00.480 --> 00:02:02.840 them have up their game. It's really amazing to watch. And we did 27 00:02:02.840 --> 00:02:07.120 some business earlier this year with the company called Mesmo. And what those folks 28 00:02:07.159 --> 00:02:13.280 do is they sit on top of your observability information pipelines and the orchestrate where 29 00:02:13.319 --> 00:02:16.080 that goes. And the reason being, you start using some of these tools 30 00:02:16.080 --> 00:02:20.599 and technologies and you gather all this data and at first it doesn't seem like 31 00:02:20.599 --> 00:02:23.599 a problem because yeah, it's cheap to store data. Yeah, until you 32 00:02:23.639 --> 00:02:25.120 get like a year in and two years in when all of a sudden, 33 00:02:25.120 --> 00:02:29.479 it's not that inexpensive to store all that data, and now you're paying out 34 00:02:29.520 --> 00:02:32.680 the you know what for all these different storage solutions. So point being, 35 00:02:32.719 --> 00:02:37.680 it is a very very complex world these days. It's getting more complex by 36 00:02:37.680 --> 00:02:40.879 the day. And then just the pricing structures. Think about what the cloud 37 00:02:40.919 --> 00:02:46.240 has done to user access, to user interface, but also to simplicity and 38 00:02:46.319 --> 00:02:51.680 to complexity under the hood. It's actually more complex under the hood in some 39 00:02:51.879 --> 00:02:55.000 senses, but the usability is so much easier. And then the costs, 40 00:02:55.039 --> 00:03:01.120 well, what happened. You went from big ticket monolith licensing costs too smaller 41 00:03:01.280 --> 00:03:06.479 monthly as a service, subscription service. A lot of the open source vendors 42 00:03:06.560 --> 00:03:10.680 will basically sell their services and helping you install this stuff and maintain that stuff 43 00:03:10.680 --> 00:03:14.280 because it's open source. So if it's open source, that's free, right, 44 00:03:14.840 --> 00:03:17.479 Not really anyway, that's a very long winded introduction and I'll throw it 45 00:03:17.520 --> 00:03:21.800 over to Eve Mulgars for his opening comments. Here. Eve, it's a 46 00:03:21.919 --> 00:03:25.319 very complex world these days, and the companies that are in the space trying 47 00:03:25.360 --> 00:03:30.479 to secure is trying to help us govern and stay vigilant. They're having to 48 00:03:30.520 --> 00:03:32.520 work over time, what's the answer, what do you think's going on? 49 00:03:32.560 --> 00:03:36.840 And how we can we make the most of it? Eve, you already 50 00:03:36.840 --> 00:03:42.400 said it's observability, understanding how it all connects together and see what goes where. 51 00:03:42.400 --> 00:03:46.960 Having that transparency is these days very important and as I mean, all 52 00:03:46.280 --> 00:03:51.879 the time in the data space. Just today had an earlier discussion with somebody 53 00:03:51.879 --> 00:03:55.680 else and we were discussing about the data stake where you have the various components 54 00:03:55.719 --> 00:04:01.439 that fit together to provide that insights out of your data, and it's again 55 00:04:01.759 --> 00:04:06.439 how they tied together, integration and who does what's and I think having a 56 00:04:06.520 --> 00:04:12.479 system in place that helps you on manage who has a responsibility of which part 57 00:04:12.719 --> 00:04:16.040 from where that's of uttermost importance. Back in the days, it was pretty 58 00:04:16.079 --> 00:04:19.439 simple. You went to the the main frame and you knew how to talk 59 00:04:19.480 --> 00:04:23.319 to right and people could help you. So you only had a system. 60 00:04:23.360 --> 00:04:27.000 But now it's so layered that Yeah, like you say, it has become 61 00:04:27.040 --> 00:04:31.920 so complex in these days too. As an IT person, technical person responsible 62 00:04:32.160 --> 00:04:36.639 of the infrastructure of security, to keep track of that, yeah, well, 63 00:04:36.639 --> 00:04:40.399 I mean you used to have all sorts of different departments and you still 64 00:04:40.439 --> 00:04:44.920 do. I think some of that is going to change here as a CDO, 65 00:04:45.160 --> 00:04:48.199 for example, chief data officer is going to be also responsible for security 66 00:04:48.279 --> 00:04:51.079 in his or her domain. It's not just going to be one person. 67 00:04:51.839 --> 00:04:55.800 And I'll bring in Rohini in one second here, but my business partner, 68 00:04:55.839 --> 00:04:59.480 doctor Robin Bloory's British, born in England. He's got a British accent and 69 00:04:59.519 --> 00:05:01.360 he always has these witty things that he would say. And one of his 70 00:05:01.399 --> 00:05:06.240 comments cracked me up one day when he said everyone has a security leader and 71 00:05:06.439 --> 00:05:13.360 his name is scape goat, meaning like when it goes out like you're fired, 72 00:05:13.639 --> 00:05:15.519 bring the next person in here so that they change anything. It's not 73 00:05:15.560 --> 00:05:18.519 really that person's fault. It's just hard to stay on top of these things. 74 00:05:18.560 --> 00:05:23.920 But with all of that said, Rohini, History from Solar Winds. 75 00:05:24.000 --> 00:05:27.680 Welcome to Inside Analysis. And you folks are in the middle of a big 76 00:05:27.759 --> 00:05:30.360 change. You're trying to do a sort of branding and image change, but 77 00:05:30.399 --> 00:05:33.120 also a pricing change. Tell us what's going on at Solar Winds and what 78 00:05:33.199 --> 00:05:39.600 you're trying to accomplish. Edic and Eve, thank you so much for having 79 00:05:39.600 --> 00:05:44.600 me on the show. You know you've articulated all the business challenges already very 80 00:05:44.600 --> 00:05:47.639 well. Right, there's a significant transformation happening in the world, which is 81 00:05:47.680 --> 00:05:54.439 cloud transformation. Data is growing and data is exploding on the clouds, Governance, 82 00:05:54.560 --> 00:05:58.879 compliance are all critical requirements for companies. Security is a big challenge. 83 00:05:59.439 --> 00:06:02.879 So what we realize at solar Wins is now we have been a leader in 84 00:06:02.920 --> 00:06:06.600 the monitoring space for the last twenty five years, right, leader in network 85 00:06:06.639 --> 00:06:11.600 monitoring, infrastructure monitoring. But the course of years we have acquired a lot 86 00:06:11.639 --> 00:06:15.879 of companies and application monitoring, database monitoring, many other companies, many other 87 00:06:15.920 --> 00:06:19.199 spaces. So what we're what we're doing over the last two years really is 88 00:06:19.600 --> 00:06:25.720 you're embarking on this Solar Winds platform strategy, which is evolving from monitoring to 89 00:06:25.800 --> 00:06:30.839 observability, right where observability becomes the founders for future autonomous operations. Right. 90 00:06:30.839 --> 00:06:35.560 So we're trying to bring in all capabilities like network, infrastructure, app database, 91 00:06:35.639 --> 00:06:40.720 all of them into a unified platform so that we can be more relevant 92 00:06:40.720 --> 00:06:45.680 in the new world and really you make all the difference that customers are looking 93 00:06:45.680 --> 00:06:50.279 for. That's the change and transformation happening. Yeah, And so you know 94 00:06:50.319 --> 00:06:55.600 from an organizational perspective. From the solar winds perspective, you're looking at this 95 00:06:55.720 --> 00:07:00.040 world is changing dramatically. You're looking at the risk profile shooting up, bite 96 00:07:00.079 --> 00:07:04.279 Frankie. But you also are watching as machine learning and AI come along and 97 00:07:04.360 --> 00:07:09.040 really mature to be able to hack through this stuff. And you know, 98 00:07:09.079 --> 00:07:14.480 when you talk about monitoring and observability, usually what you're trying to do is 99 00:07:14.560 --> 00:07:17.480 understand the steady state, like what is normal, what should it look like? 100 00:07:17.800 --> 00:07:20.959 And then you watch out for anomalies. You watch out for changes in 101 00:07:21.079 --> 00:07:26.319 behavior. I was joking with Eve that just today, as I was preparing 102 00:07:26.360 --> 00:07:30.720 for this call, ironically enough, I started getting all these emails in my 103 00:07:30.800 --> 00:07:34.000 inbox of confirm your subscription, confirm your subscription. I'm like, what's going 104 00:07:34.040 --> 00:07:39.720 on. Someone is not necessarily hacking me. Someone just trying to be annoying 105 00:07:39.759 --> 00:07:42.959 to me by setting up a script that goes and like signs me up for 106 00:07:43.000 --> 00:07:46.360 all these things. So I set up a filter find any email as the 107 00:07:46.360 --> 00:07:48.920 words confirm and subscription in it, and send it to my trash folder. 108 00:07:49.040 --> 00:07:53.439 So you know, I won't be intensely signing up for too many new ones 109 00:07:53.480 --> 00:07:56.360 because I won't be able to find the confirmation email and that's like a looking 110 00:07:56.439 --> 00:07:59.560 for it. But the point is like these things can happen now, Like 111 00:07:59.600 --> 00:08:03.240 they're all all these things that people can do to cause trouble, and sometimes 112 00:08:03.240 --> 00:08:07.480 it's ransomware, sometimes they're just mischievous. But you know, what are your 113 00:08:07.480 --> 00:08:13.279 thoughts about being able to leverage the newer technologies like ai mL to help us 114 00:08:13.360 --> 00:08:16.319 kind of hack away at all the underbrush and get to the real problems they 115 00:08:16.319 --> 00:08:20.839 are going to cause us trouble. Absolutely great question, Eric, So if 116 00:08:20.839 --> 00:08:26.600 you look at AII is the fundamental underpinning of observability. So what I think 117 00:08:26.759 --> 00:08:31.879 by that is if you once you start collecting data from infrastructures, applications, 118 00:08:31.960 --> 00:08:37.120 databases and you name it in all types of notes and devices that are out 119 00:08:37.159 --> 00:08:41.039 there that are spread across clouds, you do have tons of data, whether 120 00:08:41.080 --> 00:08:45.240 it's logs or metrics or traces or a lot of data, and it's hard 121 00:08:45.279 --> 00:08:50.039 for a davops professional or a cloud ops or an IT professional to really look 122 00:08:50.039 --> 00:08:54.840 into everything to understand what the anomally is. Right, That's where AIML really 123 00:08:54.840 --> 00:08:58.919 comes into picture because you're not only collecting all the data, but you start 124 00:08:58.960 --> 00:09:01.159 correlating the data. You start analyzing the data, you look at where the 125 00:09:01.159 --> 00:09:07.200 anomalies are, and you start pretty much giving start translating into business problems. 126 00:09:07.279 --> 00:09:09.600 Right. For example, if you have a business service that you're running on 127 00:09:11.000 --> 00:09:13.600 a cloud or a distributed cloud, you wan't to really know the help of 128 00:09:13.600 --> 00:09:18.679 that business service, right what is the SLA of the business service in terms 129 00:09:18.679 --> 00:09:22.879 of availability or performance. So let's say we say the availability is ninety nine 130 00:09:22.919 --> 00:09:26.759 point nine nine nine in terms of availability, you want to know a where 131 00:09:26.840 --> 00:09:31.519 is this one time where the availability is dissing? What is the root cause 132 00:09:31.600 --> 00:09:33.360 for it? Is it a network that's causing a problem. Is it an 133 00:09:33.399 --> 00:09:37.559 application node, Is it a database query that's causing a problem? You want 134 00:09:37.559 --> 00:09:43.039 to know where the root cause is. So that's where AI and mL come 135 00:09:43.039 --> 00:09:46.320 into picture, because you're really finding the root cause. You're trying to detect 136 00:09:46.320 --> 00:09:50.399 their normally highlate it to the user, trying to correlate to the problem and 137 00:09:50.440 --> 00:09:54.440 so on. But again, the journey of AI for us has just begun, 138 00:09:54.159 --> 00:09:58.919 right because observability is just the first part of the overall journey. Where 139 00:10:00.080 --> 00:10:05.159 we see the market shifting is really too autonomous operations where technologies like general DBI 140 00:10:05.320 --> 00:10:11.519 and chat GPT will become the critical building blocks where the actual operations users can 141 00:10:11.559 --> 00:10:15.919 start dictating their business requirements to say what they want to achieve in the right 142 00:10:15.960 --> 00:10:20.679 ozation, and the underlying platform and systems will go do the right thing and 143 00:10:20.799 --> 00:10:22.879 come back and say, hey, you know, I manage the application that 144 00:10:22.919 --> 00:10:26.519 you wanted me to manage and remediate. I did all that their sel so 145 00:10:26.600 --> 00:10:30.919 and so these are the two things that I'm not able to do in an 146 00:10:30.960 --> 00:10:35.559 automated manner. Can you go fix it? It could be a storage that 147 00:10:35.639 --> 00:10:39.240 is failing for the last three times or three days that replaced and so on. 148 00:10:39.320 --> 00:10:43.399 Right, So that's kind of how we are seeing this world of observability 149 00:10:43.399 --> 00:10:48.919 evolving to autonomous operations, right right, So what you're saying, just so 150 00:10:48.919 --> 00:10:52.960 are already understands, is that these large language models like chat, GPT, 151 00:10:52.240 --> 00:10:56.840 like BARD, there's some others Dolly Data Bricks has rolled out their own Dolly 152 00:10:56.919 --> 00:11:03.600 two point zero already. These are very powerful technologies that can essentially predict words 153 00:11:03.639 --> 00:11:05.600 as what they do. But really what you're seeing is a fusion of that 154 00:11:05.679 --> 00:11:11.000 technology with chatbot technology, and chatbots were actually doing pretty well in the last 155 00:11:11.000 --> 00:11:16.600 couple of years in part because of the technologies behind them, the ability to 156 00:11:16.639 --> 00:11:20.360 build a sort of decision tree for the chat bot to deal with, so 157 00:11:20.440 --> 00:11:24.639 you identify, does this person want an address? Okay, boom, solve 158 00:11:24.679 --> 00:11:28.080 that problem. Does this person want more information as a complaint, what is 159 00:11:28.120 --> 00:11:31.120 this thing that's coming in and quickly sorted out? And with those decision trees 160 00:11:31.159 --> 00:11:35.879 which are built using building blocks that are rudimentary and there I guess sort of 161 00:11:35.919 --> 00:11:41.519 imperative in nature to use the programming language, those are good, but really 162 00:11:41.559 --> 00:11:48.559 the more declarative architectures that we're seeing now can be very compelling because already with 163 00:11:48.639 --> 00:11:52.399 declarative programming, and a lot of these new technologies use declarative, you're just 164 00:11:52.519 --> 00:11:56.200 telling the system the end goal that you want and then it goes and figures 165 00:11:56.200 --> 00:11:58.320 out how to do that, which I'm not gonna lie kind of blows my 166 00:11:58.320 --> 00:12:03.840 mind, but it does get that done. And so now when you connect, 167 00:12:03.000 --> 00:12:07.600 like when you have an LL large language model in between you and your 168 00:12:07.679 --> 00:12:11.759 systems, that gets very interesting because you know, I've mentioned to Eve, 169 00:12:13.360 --> 00:12:16.279 the first question in my mind after I saw these large language models work, 170 00:12:16.399 --> 00:12:18.480 was, well, if they can write in English, French and German, 171 00:12:18.639 --> 00:12:22.759 but they can write in Java and htan on coball too and guess what they 172 00:12:22.759 --> 00:12:26.639 sure can, right, So they can write code for you. Now you 173 00:12:26.679 --> 00:12:28.639 do have to tidy it up. But we're just at the beginning of this 174 00:12:28.720 --> 00:12:35.360 process. So these lms as a sort of intermediary, as a really supercharged 175 00:12:35.519 --> 00:12:39.799 chat bot for the operator, are going to be very powerful and solve lots 176 00:12:39.799 --> 00:12:43.399 and lots of problems that we've really never been able to solve before, at 177 00:12:43.440 --> 00:12:45.720 least not at that speed. Right, is that about? Right? Rheeny 178 00:12:45.840 --> 00:12:50.519 and personetic You actually articlated it well that the conversience is what is going to 179 00:12:50.600 --> 00:12:56.879 create that impact the conversionce of Jenny d VII, chat GPD. This whole 180 00:12:56.919 --> 00:13:00.559 conversationally I or you know, chat bots and so on that you mentioned, 181 00:13:01.039 --> 00:13:03.679 along with the business problems that you have is going to be very interesting because 182 00:13:03.799 --> 00:13:09.559 imagine if you're you know, imagine yours. There is a self service doctor 183 00:13:09.840 --> 00:13:13.519 portal, right, and then you can go to the website and says and 184 00:13:13.559 --> 00:13:16.320 the doctor asks you, hey, Eric, what is what symptoms do you 185 00:13:16.360 --> 00:13:18.080 have? And you say, I have an ear pain, this and that, 186 00:13:18.240 --> 00:13:22.200 etc. And then it results in a series of questions like hey, 187 00:13:22.279 --> 00:13:26.399 upload your image upload your video whatnot. Or it could be sending a swab 188 00:13:26.960 --> 00:13:31.639 why an instack art to you where you're doing a test remotely like an administered 189 00:13:31.679 --> 00:13:35.879 test, uploading the results and the end of it. The physician is qualifying 190 00:13:35.879 --> 00:13:41.120 all these data and sending a prescription through an instack art an automated manner to 191 00:13:41.159 --> 00:13:43.320 your home and you have a prescription in thirty minutes. Right. Imagine that 192 00:13:43.440 --> 00:13:50.080 is the world of shift, where you're bringing really converging your conversations, your 193 00:13:50.519 --> 00:13:54.279 question and answer translating into you know, the research behind in the medical terms 194 00:13:54.279 --> 00:13:58.039 and so on. Right. I see that kind of convergence help helping in 195 00:13:58.159 --> 00:14:05.279 various markets. Yeah, he subservability and operations markets, it helps security markets. 196 00:14:05.759 --> 00:14:09.279 There are many markets there. You will see these applications coming out right, 197 00:14:09.320 --> 00:14:13.399 so that it can simplify the lives of customers and end users significantly. 198 00:14:13.759 --> 00:14:18.159 Yeah, sure, I'll bring even to comment on this, You're still going 199 00:14:18.200 --> 00:14:24.799 to have to monitor things even though you've got this automatic observability, automatic monitoring. 200 00:14:24.240 --> 00:14:28.559 I don't see people being removed from the equation anytime soon, because you 201 00:14:28.600 --> 00:14:31.440 do have to kind of stand on top of things. But we are certainly 202 00:14:31.440 --> 00:14:35.960 getting closer. But It's almost like it's just in time to a certain extent, 203 00:14:37.120 --> 00:14:39.600 right because the bad guys have all this stuff too. The bad guys 204 00:14:39.639 --> 00:14:43.440 have generative AI. The bad guys have this denial of service attack approach that 205 00:14:43.519 --> 00:14:48.240 they have been mastering for years and years. So it's just this constant battle 206 00:14:48.320 --> 00:14:52.080 between the bad actors and the good actors. I almost think though, that 207 00:14:52.759 --> 00:14:56.440 we should be doing better at being able to identify where these people are coming 208 00:14:56.440 --> 00:15:00.440 from what they're doing. They're always using proxies to kind of bounce stuff around. 209 00:15:00.480 --> 00:15:03.879 But I don't know if are we are we just treading water here or 210 00:15:03.919 --> 00:15:07.919 do you think we're actually getting ahead of the curve now. Well, I'm 211 00:15:07.960 --> 00:15:11.480 pretty hopeful that the better part of it will will win from the from the 212 00:15:11.519 --> 00:15:18.000 worst part. Instead's my ideal view on it. And I think we're having 213 00:15:18.120 --> 00:15:22.759 that ethical discussion about about the whole AI. So if we can feed it 214 00:15:22.840 --> 00:15:26.840 with the with the right things, we can get on top of people using 215 00:15:26.840 --> 00:15:30.799 that for for the worst things. That's that's uh, that's my vision for 216 00:15:30.879 --> 00:15:35.919 the future. And let's let's let's hope we're getting there. And like you 217 00:15:35.000 --> 00:15:39.480 say, we can't feed the advantage with generative AI as it learns from new 218 00:15:39.600 --> 00:15:43.000 data that gets added to it. You train it on a base system. 219 00:15:43.279 --> 00:15:48.159 That's that's how it responds to whatever you feed it. And once it gets 220 00:15:48.159 --> 00:15:52.879 new insights, it becomes smarter. And that's I think where most of the 221 00:15:52.919 --> 00:15:58.440 people are for the time being pretty afraid of that, that we can't predict 222 00:15:58.879 --> 00:16:02.759 how it will evolve in such a way and it becomes too smart for us. 223 00:16:03.120 --> 00:16:07.840 That's that's that's the feeling what we're getting. But yeah, I think 224 00:16:07.879 --> 00:16:11.000 we can do so much better. And if we can keep bias in a 225 00:16:11.080 --> 00:16:15.480 certain way out of that and direct it in the right direction, we're very 226 00:16:15.519 --> 00:16:19.519 well off. Yeah, now that's very interesting. Bias is an issue. 227 00:16:19.639 --> 00:16:22.960 The whole proprietary nature of these things is an issue. I mean, as 228 00:16:22.960 --> 00:16:27.120 of the moment, chat GPT is a black box, right, I asked 229 00:16:27.120 --> 00:16:30.799 it which database do you use? And it said I won't tell you. 230 00:16:30.840 --> 00:16:33.120 I'm like, okay, Well, from an explainability perspective, that does not 231 00:16:33.279 --> 00:16:37.120 pass muster. All right, you're not gonna You're gonna to be careful. 232 00:16:37.159 --> 00:16:41.080 I think we are going to see some legislation perhaps at some point, but 233 00:16:41.120 --> 00:16:44.039 before we see that, we're going to see some lawsuits. I think some 234 00:16:44.240 --> 00:16:48.200 companies are going to start suing open Ai and some of these others, you 235 00:16:48.240 --> 00:16:52.279 know. But I guess they'll just take a leaf out of the Uber playbook, 236 00:16:52.720 --> 00:16:55.320 right. I remember when this is a bit of a tangent, But 237 00:16:55.799 --> 00:16:57.600 we can pick this up in the second segment coming up in a minute. 238 00:16:57.600 --> 00:17:02.279 But I remember when Uber was really spreading like wildfire across the United States. 239 00:17:02.600 --> 00:17:06.079 I can't think to myself, they have to be running a foul of local 240 00:17:06.200 --> 00:17:11.119 ordinances and regulations on taxi cabs because in many cities you have to get a 241 00:17:11.119 --> 00:17:14.480 medallion to drive a taxi cab, and people will pay a lot of money 242 00:17:14.480 --> 00:17:17.680 for those medallions. I know a guy who paid like fifty thousand dollars in 243 00:17:17.720 --> 00:17:22.839 cash and a brown bag in a grocery store parking lot to get his taxi 244 00:17:22.920 --> 00:17:26.559 medallion in New Orleans about ten years ago. So when Uber came around, 245 00:17:26.559 --> 00:17:30.160 he was I'm sure not too happy about that. But what they did is 246 00:17:30.200 --> 00:17:33.920 they just stacked up a whole bunch of money for legal expenses and for lobbying, 247 00:17:33.960 --> 00:17:37.960 and basically it is ram out of the stuff through everywhere they could go. 248 00:17:37.559 --> 00:17:41.359 And in Paris they fought back and I think they've had some real trouble 249 00:17:41.359 --> 00:17:44.000 in a few other places too. But you know, probably what's going to 250 00:17:44.039 --> 00:17:45.920 happen is there are a lot of lawsuits. They're gonna be hacking through stuff, 251 00:17:45.920 --> 00:17:48.599 and they're gonna be a lot of confused legislators trying to figure out what 252 00:17:48.640 --> 00:17:52.200 actually is going on as we try to pass some legislation. 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Call eight hundred seven one h three seven three nine, eight hundred 302 00:21:42.000 --> 00:21:48.160 seven one h three seven three nine, eight hundred seven one h three seven 303 00:21:48.359 --> 00:21:52.400 three nine. That's eight hundred seven one h thirty seven thirty nine NMLS sixty 304 00:21:52.440 --> 00:21:56.599 six oh six www dot MLS, consumer xs dot org. This is not 305 00:21:56.640 --> 00:22:00.839 an offer or commitment to lend, subject to borrow or in pretty qualifications, 306 00:22:00.960 --> 00:22:07.519 not all of our whereas we'll qualify it terms. Welcome back to Inside Analysis. 307 00:22:08.079 --> 00:22:17.960 Here's your host Eric Tabinaugh, So to tell you, these large language 308 00:22:17.960 --> 00:22:22.400 models are absolutely taking us to the future by giving us a reflection of the 309 00:22:22.440 --> 00:22:26.720 past. Because these large language models like chat, GPT, like Barred, 310 00:22:26.119 --> 00:22:32.319 like Dolly, these are all different large language models. They are all models 311 00:22:32.400 --> 00:22:36.640 built upon a corpus of text, most of it from the web. I 312 00:22:36.680 --> 00:22:40.799 think, what is its chat GPTs everything before some data in twenty twenty one 313 00:22:40.920 --> 00:22:45.960 or something like that. But Barred from Google already has connectors to the real 314 00:22:45.000 --> 00:22:48.799 time web. So those who you used chat chat TPT are probably seen. 315 00:22:49.200 --> 00:22:52.799 It'll answer questions saying, oh, I'm sorry as a large language model, 316 00:22:52.839 --> 00:22:56.119 I don't have access to real time data, etcetera, etcetera. The rest 317 00:22:56.119 --> 00:22:59.759 assured that's going to change because they are going to work on this, because 318 00:22:59.759 --> 00:23:03.400 the challenge with these things is that they do hallucinate. They do make stuff 319 00:23:03.480 --> 00:23:07.920 up by fusing together bits of information. Now, they're also incredibly powerful though, 320 00:23:07.920 --> 00:23:15.200 at being able to generate text that is very organized, that is very 321 00:23:15.279 --> 00:23:18.559 syntactically correct, for example, so they understand meaning, they understand syntax, 322 00:23:18.839 --> 00:23:22.160 they understand what things are supposed to look like. It's great at writing poetry, 323 00:23:22.759 --> 00:23:27.079 but it's also going to be very powerful in these chatbot scenarios. But 324 00:23:27.160 --> 00:23:33.079 the quality is an issue. The providence is an issue. Maybe, Rohani, 325 00:23:33.079 --> 00:23:36.039 I'll throw it over to you. These are big issues. I don't 326 00:23:36.079 --> 00:23:38.279 think Congress is going to get its act together to legislate soon enough, so 327 00:23:38.319 --> 00:23:41.519 the industry is going to have to solve it for itself. And to me, 328 00:23:42.200 --> 00:23:45.920 providence is huge. We need to know where you got this. And 329 00:23:47.319 --> 00:23:51.359 the other side of the equation is the well security, governance and things of 330 00:23:51.440 --> 00:23:53.720 this nature. But you know, providence. I mean, I wonder how 331 00:23:53.759 --> 00:23:56.759 effective they could do that if they hadn't thought that through in the architecture. 332 00:23:56.839 --> 00:24:00.920 This thing going back to re architect to fits some of that stuff. It's 333 00:24:00.920 --> 00:24:06.000 going to be hard, but I'm guessing that they probably can get visibility into 334 00:24:06.039 --> 00:24:10.839 how it's piecing things together. And then and you score certain things, you 335 00:24:10.880 --> 00:24:14.200 can say, hey, this is false. It's it's just like like with 336 00:24:14.319 --> 00:24:18.359 Yellow Pages online or Google, like is this your business, claim your business, 337 00:24:18.440 --> 00:24:22.039 etc. You're be able to do those things. But I almost think 338 00:24:22.039 --> 00:24:25.720 everything is moving too fast, right, How are we going to solve this? 339 00:24:25.799 --> 00:24:30.039 What do you think, Roany? I think the fundamental problem will become 340 00:24:30.119 --> 00:24:33.319 the data quality score. I end up having a big use case where companies 341 00:24:33.359 --> 00:24:37.440 will start asking, hey, what is the source of data? Where did 342 00:24:37.440 --> 00:24:41.880 you get this data from? Right, And they'll essentially be a solution to 343 00:24:41.920 --> 00:24:45.000 say, hey, this the score is high because it's taking from sources ABC, 344 00:24:45.680 --> 00:24:48.880 and if you take it from another source that you know, the score 345 00:24:48.880 --> 00:24:53.599 could be weakerrect it becomes the foundational underpinning. And then, like you said, 346 00:24:53.640 --> 00:24:57.559 all the problems around data security, data governance, data compliance, all 347 00:24:57.559 --> 00:25:02.839 of this have to be solved by some of these large vendors that are rapidly 348 00:25:02.960 --> 00:25:07.759 pushing jen a DBI or chat gptr, you know, other tools that are 349 00:25:07.759 --> 00:25:11.119 going to be available, right, so I think you have the owners on 350 00:25:11.160 --> 00:25:15.559 them to demonstrate that. And then the other shift that's also possible is if 351 00:25:15.599 --> 00:25:19.880 you take companies like Nvidia, right, they're innovating a lot on AI and 352 00:25:21.039 --> 00:25:26.599 developing new technologies and solutions. Right. What I can also envision is a 353 00:25:26.720 --> 00:25:29.440 company is going back to this comfort zone off, Hey, let me do 354 00:25:29.440 --> 00:25:33.519 a lot of this on my own private cloud, where it is everything is 355 00:25:33.519 --> 00:25:38.039 in my own secure environment, especially large enterprises, financial companies where they want 356 00:25:38.039 --> 00:25:41.680 all the tools but start running in their own data center or in their own 357 00:25:41.680 --> 00:25:45.640 private cloud. Right, if that happens, then there is going to be 358 00:25:47.759 --> 00:25:52.640 a new wave on the cloud journey as well. That might be a pose 359 00:25:52.720 --> 00:25:55.799 a question mark. So I think we are going to discover a lot in 360 00:25:55.839 --> 00:25:59.599 the next three to five years THEREK. Yeah, that's interesting, Eve of 361 00:25:59.680 --> 00:26:03.519 bring you back in on this one. You know. I believe on prem 362 00:26:03.720 --> 00:26:06.839 is going to have a very long tail. I don't think these on prem 363 00:26:06.920 --> 00:26:10.839 data centers are going away anytime soon. And I've already seen kind of some 364 00:26:10.880 --> 00:26:14.759 straws in the wind. There's a company I saw a Tara Data at their 365 00:26:14.799 --> 00:26:18.839 event in twenty nineteen where what these folks do is they can come in and 366 00:26:18.880 --> 00:26:23.880 make your on prem servers look like S three. It's kind of like Minio, 367 00:26:25.039 --> 00:26:26.839 So Minio it does something it's like S three for everyone else basically, 368 00:26:26.920 --> 00:26:32.160 right, they created a storage mechanism for allowing you to store lots and lots 369 00:26:32.160 --> 00:26:34.720 of data. So I think these on prem data centers are going to have 370 00:26:34.720 --> 00:26:38.839 a kind of a long tail. If you can scan your environment, know 371 00:26:38.880 --> 00:26:42.960 what functionality you have, know what you can go of you it should be 372 00:26:44.000 --> 00:26:48.079 possible to kind of reinvent these data centers as private clouds, but I don't 373 00:26:48.119 --> 00:26:49.400 know. You know more about stuff that stuff than I do. What do 374 00:26:49.400 --> 00:26:55.119 you think? Yeah, I definitely think that that will be a way to 375 00:26:55.240 --> 00:26:59.000 go on one of the options where we will go. You see the discussion 376 00:26:59.039 --> 00:27:03.160 already going out with the cloud. We thought, yes, it's still scalable, 377 00:27:03.200 --> 00:27:07.880 it is very flexible, but the costs day they are sky high because 378 00:27:07.920 --> 00:27:11.799 you did the architecture not as you should do it in the cloud. I 379 00:27:11.839 --> 00:27:15.079 mean, just turn it on whenever you need to compute whatever you need to 380 00:27:15.160 --> 00:27:18.480 memory. So we were not used to put up the architecture in such a 381 00:27:18.519 --> 00:27:25.359 way, and now by bringing that hybrid environment and in place, that's a 382 00:27:25.519 --> 00:27:27.960 different way of on how you can put up your architecture. And with some 383 00:27:29.039 --> 00:27:34.079 privacy concerns, I think there is a certain move back towards the on prem 384 00:27:34.160 --> 00:27:38.759 solutions as such, Still, the trade off between KPAX and opex is still 385 00:27:41.000 --> 00:27:45.640 a very difficult thing for a lot of companies to anticipate the costs of what 386 00:27:45.759 --> 00:27:48.640 they will have in the future. And you will see that there will be 387 00:27:48.839 --> 00:27:55.400 definitely a hybrid approach into setting that up. Wherever you need a flexibility the 388 00:27:55.480 --> 00:27:59.519 scalability, you will move that that load to the cloud and a small part 389 00:27:59.559 --> 00:28:03.559 will still will be on prem and they will take the solutions, like you 390 00:28:03.599 --> 00:28:07.880 said, the Aws and street Buckets on prem. As such, it was 391 00:28:07.960 --> 00:28:12.480 natively designed for the cloud in such a way, but you will see that 392 00:28:12.559 --> 00:28:18.160 it will be adapted to on prem solutions as well. Yeah, the cloud 393 00:28:18.240 --> 00:28:23.640 native movements I think is going to impact on prem data centers. I'm not 394 00:28:23.680 --> 00:28:27.039 sure exactly how that's going to shake out, but you know, I'd be 395 00:28:27.039 --> 00:28:30.559 curious to hear Rohany's thoughts on this. I mean, you folks are now 396 00:28:30.599 --> 00:28:36.799 moving from a traditional licensing model to more of a subscription service. Is that 397 00:28:36.880 --> 00:28:38.519 going to be just in the cloud or is that also going to be for 398 00:28:38.640 --> 00:28:41.079 on prem stuff and how do you how do you pull that off and how 399 00:28:41.119 --> 00:28:47.519 do you not cannibalize existing revenue streams. So the good part about the Sullivan 400 00:28:47.680 --> 00:28:52.160 strategy, Eric, is we want to meet customers where they are on their 401 00:28:52.160 --> 00:28:56.559 cloud journey. Right. What we really mean by that is we announced the 402 00:28:56.720 --> 00:29:00.359 two flavors of the Solovan's platform last year. One is called the Hybrid Cloud 403 00:29:00.359 --> 00:29:06.000 Observability Offering, which is essentially offering a customer can install in a private cloud 404 00:29:06.200 --> 00:29:10.960 or a public cloud of their choice, but it's managed by them, right, 405 00:29:11.240 --> 00:29:15.480 meaning self hosted, self managed by the customer. That's one model where 406 00:29:15.480 --> 00:29:19.519 we provide a subscription model. Right, they deploy the software, manage on 407 00:29:19.559 --> 00:29:25.799 their own and it's their data centers for data privacy, security, all reasons. 408 00:29:26.480 --> 00:29:30.519 The second model we also introduced is the SaaS platform. Right. You 409 00:29:30.559 --> 00:29:34.680 know, the SOLOS platform is available as a service on natively, on AWS 410 00:29:34.720 --> 00:29:37.839 and Azure. So we are asking customers say, we are going to give 411 00:29:37.920 --> 00:29:41.839 you the underlying cloud as a choice. Right, you decide whether you want 412 00:29:41.839 --> 00:29:47.240 the instance or a tenant, your tenant to be running on a Natables or 413 00:29:47.359 --> 00:29:51.799 Azure environment across the globe. So that's the flexibility that we gave. But 414 00:29:51.960 --> 00:29:56.200 of course the SaaS is a subscription service, you know, whereas on Treme 415 00:29:56.759 --> 00:30:02.680 you can buy a subscription software that you can install. You will get updates 416 00:30:02.720 --> 00:30:07.440 pretty much every quarter and periodic updates, you will be eligible for refreshents on 417 00:30:07.480 --> 00:30:11.079 and so forth. We did all that from a product site, but then 418 00:30:11.119 --> 00:30:15.759 to simplify that, we also changed or simplified or pricing, packaging and licensing 419 00:30:15.799 --> 00:30:21.119 as well, because we do have many many products in the market. Right 420 00:30:21.160 --> 00:30:25.440 in the past, which had different types of licensing between fend all of them 421 00:30:25.480 --> 00:30:27.799 into a node based licensing. So we pretty much as the customers like, 422 00:30:27.880 --> 00:30:32.119 hey, how many notes do you have? The note could be an application 423 00:30:32.279 --> 00:30:34.240 or a database or a network or anything, and say hey, what do 424 00:30:34.279 --> 00:30:38.000 you like to manage and how many notes do you have? And it's prized 425 00:30:38.039 --> 00:30:42.359 accordingly so that it becomes easy for a customer to understand what's their total cost 426 00:30:42.400 --> 00:30:45.759 of ownership? Yeah, as soon do I get DOY and so on? 427 00:30:47.119 --> 00:30:51.079 Sure, you know, I'm sitting here, I'm always thinking of metaphors and 428 00:30:51.920 --> 00:30:56.000 different ways to describe things. And to me, the network still is the 429 00:30:56.160 --> 00:31:00.759 lifeblood of systems and applications, right, whether it's a big company are small, 430 00:31:00.759 --> 00:31:04.000 there's always a network. And it's almost like if you can monitor the 431 00:31:04.079 --> 00:31:08.440 network very closely, it's like getting your blood work done right when the doctors 432 00:31:08.720 --> 00:31:14.039 take your blood and they run tests on your blood while they're figuring out what's 433 00:31:14.039 --> 00:31:17.000 happening in your body by virtue of what they see in your blood, right, 434 00:31:17.039 --> 00:31:19.000 and you have to learn things over time. Of course, with AI 435 00:31:19.039 --> 00:31:22.640 and m L and the healthcare industry, Wow, is that going to change? 436 00:31:22.720 --> 00:31:26.279 The testing market and hope will have to give much much less blood. 437 00:31:26.720 --> 00:31:30.079 Of course, that was the big Thronto's promise, right, and I think 438 00:31:30.079 --> 00:31:32.519 she just went to jail, so she learned the hard way. You got 439 00:31:32.519 --> 00:31:37.039 to be careful about how you promote things and what your transparency is. But 440 00:31:37.119 --> 00:31:40.759 I bring this up because I'm curious to know from your perspective, from the 441 00:31:40.759 --> 00:31:45.319 solar winds perspective, you can learn so much about what's happening in a particular 442 00:31:45.359 --> 00:31:49.039 environment by just watching the network traffic. I mean, there's other things that 443 00:31:49.119 --> 00:31:53.720 you do, but the network really is a primary source of information to be 444 00:31:53.720 --> 00:31:59.000 able to help you identify problems. Right that Pusson intended bus and said that 445 00:31:59.079 --> 00:32:04.200 unique advandas that we have is we brought in capabilities from fifty odd products that 446 00:32:04.279 --> 00:32:08.920 we've had historically, like into the performance monitoring, network traffic analyzer, infrastructure 447 00:32:08.960 --> 00:32:14.000 analyzer, then you name it, application database, you know, you name 448 00:32:14.039 --> 00:32:16.480 it, all sorts of things across private and public. We brought all the 449 00:32:16.640 --> 00:32:21.559 data that gives us a very unique advantage to say, hey, what's your 450 00:32:21.559 --> 00:32:23.880 health score. If you want to ask what's the health score of a nice 451 00:32:23.960 --> 00:32:29.400 devinment, we can give you a score but then start pinpointing to where the 452 00:32:29.440 --> 00:32:31.480 problem is. If you say the score is ninety nine, we can tell 453 00:32:31.480 --> 00:32:37.359 you where that one is missing and what are the specific devices or nodes or 454 00:32:37.519 --> 00:32:42.519 creations that are kind of leading to the problem. Right going your first question 455 00:32:42.519 --> 00:32:46.839 as well, Yeah, and chat GPT is in these large language models, 456 00:32:46.960 --> 00:32:53.160 they are very knowledgeable about systems issues, about studyings, configurations, all these 457 00:32:53.200 --> 00:32:57.720 things. All this information is out there. Again, you have to let 458 00:32:57.799 --> 00:33:00.119 it verify it, be careful what you trust when you get out of these 459 00:33:00.160 --> 00:33:05.559 things. But I think that a combination again of these traditional tools like you 460 00:33:05.640 --> 00:33:09.359 have and a large language model can be very powerful in terms of giving very 461 00:33:09.400 --> 00:33:15.440 detailed descriptions to the user what is happening because you can plug into these systems, 462 00:33:15.839 --> 00:33:19.039 check all the different systems, all the monitor and it's coming across, 463 00:33:19.519 --> 00:33:22.000 and be able to ascertain, hey, this is the problem. That's the 464 00:33:22.039 --> 00:33:25.039 problem. Then you just have to go about remediating the problem, and you 465 00:33:25.119 --> 00:33:30.720 can even give you the instructions of how to do that. So it's very 466 00:33:30.839 --> 00:33:36.759 very useful because it educates people while it's solving the problems. Right broheeny absolutely 467 00:33:36.799 --> 00:33:40.200 absolutely no, you are becoming like a not a chief architect for ABS, 468 00:33:43.720 --> 00:33:45.839 Like we were discussing a few minutes, agreages the data quality. Right, 469 00:33:45.880 --> 00:33:52.000 So because we are actually getting real time data from all these various types of 470 00:33:52.039 --> 00:33:57.279 devices, we call it the full stack observability pretty much take from cloud services, 471 00:33:57.920 --> 00:34:00.200 you know, infrastec of services, application, databasis, you name it. 472 00:34:00.759 --> 00:34:05.200 We're taking logs, metrics, traces in a lot of real time information. 473 00:34:05.640 --> 00:34:08.840 We aggregate into a single source of truth or a single data platform because 474 00:34:08.880 --> 00:34:13.159 that data platform, because we know that data is right and that's real. 475 00:34:13.760 --> 00:34:17.079 And then learning language models on top of the data to train that data is 476 00:34:17.119 --> 00:34:22.440 going to be critical so that we can say when we detect an anomally and 477 00:34:22.440 --> 00:34:25.280 when we can have a conversation with a customer to say, hey, here 478 00:34:25.360 --> 00:34:30.360 is the problem with this health score. We can really pinpoint to the specifics 479 00:34:30.519 --> 00:34:32.800 amount of data or specific set of data, and we know that data is 480 00:34:34.119 --> 00:34:38.239 the quality is right because that's time. It's not synthetic. I mean, 481 00:34:38.400 --> 00:34:44.519 synthetics can help predict from a prediction use case, but from understanding the actual 482 00:34:44.639 --> 00:34:49.199 SLA of your business service today, it's data and the data quality is like 483 00:34:50.280 --> 00:34:53.039 highly accurate. Right, So that's where we have a unique advantage to kind 484 00:34:53.079 --> 00:34:57.719 of paint that story to customers. This is get I mean, I sit 485 00:34:57.800 --> 00:35:00.840 here and I kind of have the wheels turn in my head as I'm piecing 486 00:35:00.840 --> 00:35:05.280 stuff together. And you know they're talking now about oh, having an AI 487 00:35:05.440 --> 00:35:07.440 run a business, for example, can you train an ai'm out with to 488 00:35:07.519 --> 00:35:12.159 actually run your business? And I mean the short answer is, well, 489 00:35:12.480 --> 00:35:15.280 yeah you can. I don't know that you should yet, maybe at some 490 00:35:15.400 --> 00:35:17.679 point sort of, but I think it's always going to be sort of a 491 00:35:17.679 --> 00:35:22.840 copilot. But I will say the thing is, man with these machines, 492 00:35:22.079 --> 00:35:27.440 they're able to calculate so many queries, do so much thinking, if you 493 00:35:27.480 --> 00:35:30.960 will, or really it's processing so fast, much faster than a human. 494 00:35:31.159 --> 00:35:35.159 And they can watch for things. So like, if you are a senior 495 00:35:35.199 --> 00:35:38.239 executive company, you got ten thousand employees working for you, I mean, 496 00:35:38.280 --> 00:35:43.360 you got to watch out for some privacy issues obviously, but just knowing the 497 00:35:43.480 --> 00:35:47.880 level of interaction between different groups can give you signal. Knowing how much these 498 00:35:47.880 --> 00:35:52.920 two people work together can give you signal. And we're in the beginning of 499 00:35:52.960 --> 00:35:55.760 a whole new era. So this all that stuff also applies to it. 500 00:35:57.159 --> 00:36:00.920 Governance, it security, observability, all those things. Keeping the trains run 501 00:36:01.000 --> 00:36:06.719 on time is extremely important. That's what these folks do all day and now 502 00:36:06.760 --> 00:36:09.440 with these kinds of technologies, I mean, you're the ideal scenarios that you 503 00:36:09.519 --> 00:36:13.960 get a list of ten things to focus on today. That's that's how it 504 00:36:14.039 --> 00:36:17.079 changes your days. You walk in and you've got code read on you know, 505 00:36:17.199 --> 00:36:22.679 some network issue, you got code orange on some daily base issue, 506 00:36:22.800 --> 00:36:24.679 and that's how you spend your day. So it's going to tell you what 507 00:36:24.719 --> 00:36:28.840 to do pretty much all day long. Is that about right? I'll throw 508 00:36:28.840 --> 00:36:31.719 it over to you to comment on efforts persons. So actually, if you 509 00:36:31.760 --> 00:36:36.840 look at the vision that we have painted for slurvance, it's evolving from monitoring 510 00:36:36.840 --> 00:36:42.480 to observability to autonomous operations. So what we are seeing is the world of 511 00:36:42.639 --> 00:36:46.960 the co pilot, in the world of ID and DEV and secops operations, 512 00:36:47.000 --> 00:36:52.239 wherein the users can start defining their business requirements. They can be guided on 513 00:36:52.280 --> 00:36:58.400 business requirements, but most importantly given feedback on business requirements to say, hey, 514 00:36:58.880 --> 00:37:01.360 you know the available ability you ask me for the availability of this business 515 00:37:01.440 --> 00:37:06.679 service or the cost of this business service to be at one hundred dollars a 516 00:37:06.760 --> 00:37:08.800 month. I try to spin up so many notes. It's the cost is 517 00:37:08.840 --> 00:37:13.360 going above about the range right, or it can go about the range right. 518 00:37:13.719 --> 00:37:16.480 So you can do a lot of business requirements around availability, cost, 519 00:37:16.679 --> 00:37:22.960 performance, security, a lot of them. It's really becoming a partner and 520 00:37:22.960 --> 00:37:28.400 an operations partner or a copilot partner for enterprises and customers, right, So 521 00:37:28.519 --> 00:37:31.360 really guide them, really work with them hand in hand as a partner to 522 00:37:31.639 --> 00:37:35.760 solving their business challenges. Yeah, and you know why that's so cool And 523 00:37:35.800 --> 00:37:38.920 we'll pick this up in the next segment here. Why that's so interesting is 524 00:37:38.960 --> 00:37:44.679 because you're going to be able to adjust the dials on your compute and say, 525 00:37:44.920 --> 00:37:46.960 oh, I want to dial up security today because I'm seeing all these 526 00:37:46.960 --> 00:37:50.760 hackers try to hit our wall. It's just like a start t right, 527 00:37:50.840 --> 00:37:54.039 like put all put all power towards the engines, put all power towards the 528 00:37:54.039 --> 00:37:58.840 photon beams, etc. You're going to have that capacity. 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They're an experienced team of lawyers who help good people like you get 574 00:41:29.079 --> 00:41:32.519 out of a timeshare contract that they just don't want. Don't throw away your 575 00:41:32.519 --> 00:41:37.199 money on maintenance fees. Use it for things you really want. We can 576 00:41:37.280 --> 00:41:42.360 help you end your time share contract and stop the money drain immediately. If 577 00:41:42.400 --> 00:41:45.360 you are ready to move on with your time share, call our team right 578 00:41:45.400 --> 00:41:50.679 now cancel your time share now with a free call. Eight hundred two eight 579 00:41:50.840 --> 00:41:55.599 nine O four one three eight hundred two eight nine O four one three eight 580 00:41:55.679 --> 00:42:01.800 hundred two eight nine O four one three hundred two eight nine zero four thirteen. 581 00:42:06.519 --> 00:42:14.239 Welcome back to Inside Analysis. Here's your host, Eric Kabanov. All 582 00:42:14.320 --> 00:42:17.360 right, folks, back here on Inside Analysis talking to Eve Mulchers of seven 583 00:42:17.519 --> 00:42:22.960 W Data and Rohini Costui from Solar Winds, and we're talking about the winds 584 00:42:22.960 --> 00:42:28.159 of change, how things are really changing in the software world. All so 585 00:42:28.199 --> 00:42:31.000 many companies are moving to subscription models, software as a service as sort of 586 00:42:31.000 --> 00:42:36.079 an accepted standard now. And what I like to tackle in this last segment, 587 00:42:36.360 --> 00:42:42.239 it's really the conversion or the convergence I should say, of different functionalities 588 00:42:42.280 --> 00:42:45.920 and different roles, because we've had different groups for years and years now and 589 00:42:45.960 --> 00:42:49.800 there are reasons for that. But I think some of that stuff that's going 590 00:42:49.840 --> 00:42:53.239 to start to change a because organizations are not going to be able to keep 591 00:42:53.239 --> 00:42:58.639 as many employees. Frank, I think you're going to see shrinking of headcounts 592 00:42:58.639 --> 00:43:01.360 in large organizations, in part because of CHAT, GPT and things of this 593 00:43:01.480 --> 00:43:07.079 nature. In part because of just headwinds financial pressure, etc. And so 594 00:43:07.079 --> 00:43:10.559 you're going to see some convergence here. And let's think about the governance world, 595 00:43:10.719 --> 00:43:15.480 the security world, the compliance world, the systems management world. All 596 00:43:15.519 --> 00:43:22.400 four of those groups really benefit from observability, benefit from knowing how is the 597 00:43:22.440 --> 00:43:27.880 network performing, how are our databases performing, how fast are things operating? 598 00:43:28.320 --> 00:43:31.119 Or the classic line when you're talking to someone on customer service on the phone, 599 00:43:31.159 --> 00:43:34.920 all I'm sorry, so our systems are running slow today. All right, 600 00:43:35.000 --> 00:43:37.679 well, why are your systems running slow? Is it because you have 601 00:43:37.719 --> 00:43:39.280 crappy systems and you have an upgraded It's because you've been hacked? Is it 602 00:43:39.320 --> 00:43:43.119 because you know what's going on out there? Well, that's what all these 603 00:43:43.599 --> 00:43:46.840 these IT technicians have done for years and years and years now SRIS they typically 604 00:43:46.880 --> 00:43:51.960 call them Site reliability engineers. That the people are trying to figure out what's 605 00:43:52.000 --> 00:43:54.559 going on. They're managing the ticketing systems and just figuring out how to sort 606 00:43:54.679 --> 00:43:58.440 things all day long. It's some of these people do. And I think 607 00:43:58.440 --> 00:44:01.239 that you're going to see real convert there, which is good because we shouldn't 608 00:44:01.239 --> 00:44:07.239 have a completely separate governance group from a completely separate security group from a completely 609 00:44:07.280 --> 00:44:10.159 separate uptime group, Like, all these people are using the same data at 610 00:44:10.199 --> 00:44:15.440 some point in time, So shouldn't they be collaborating more and shouldn't one be 611 00:44:15.559 --> 00:44:20.599 feeding the other as opposed to several people all trying to consume the same information. 612 00:44:21.039 --> 00:44:24.000 So this all gets down to workflow, It gets down to organizational hierarchies 613 00:44:24.000 --> 00:44:28.960 and all sorts of different things about how stuff gets done. But the fact 614 00:44:29.079 --> 00:44:31.840 is that a lot of these AI engines are now able to reach across different 615 00:44:31.840 --> 00:44:39.280 systems and basically execute what used to take three four people in various stations to 616 00:44:39.320 --> 00:44:43.320 get done. So that is going to change your organ chart, it's going 617 00:44:43.360 --> 00:44:45.159 to change your titles, and it's going to change what people do how people 618 00:44:45.199 --> 00:44:49.599 do them. All this stuff is coming. It's coming fast and furious, 619 00:44:50.079 --> 00:44:52.840 and we're hearing it. I'd be curious to hear from your perspective, it's 620 00:44:52.840 --> 00:44:57.119 solar wins. What are you doing to manage the sort of change side of 621 00:44:57.119 --> 00:45:00.039 the equation what they call change management even for the human side of things, 622 00:45:00.039 --> 00:45:04.679 How are you how are you managing that at So we're willings, So, 623 00:45:04.719 --> 00:45:07.519 first of all, two things right. First of all, we are a 624 00:45:07.519 --> 00:45:14.000 company in transformation, rapidly evolving. Our product portfolio from on TREMP to cloud 625 00:45:14.079 --> 00:45:16.679 right. So during the last two years, we went through changes in terms 626 00:45:16.719 --> 00:45:22.320 of evolving the team skill set in the product organization, developing a lot of 627 00:45:22.360 --> 00:45:28.280 cloud development capabilities, cloud ops capabilities, as sorry capabilities, you name it. 628 00:45:28.719 --> 00:45:30.920 You know you talked about several roles. A lot of that have changed 629 00:45:30.960 --> 00:45:35.519 and converged as well. We went through a lot of that shift. We 630 00:45:35.559 --> 00:45:37.679 are going through a lot of changes on the marketing side, go to market 631 00:45:37.719 --> 00:45:44.000 side, customer success support side, across the functions. We are changing and 632 00:45:44.079 --> 00:45:47.400 continuously evolving. But I think the key here is how will it change in 633 00:45:47.440 --> 00:45:52.800 the next five years? Again in the right Ladybi and chat GPT and I 634 00:45:52.840 --> 00:45:57.639 think the convergence can start from depending on the company's goals. Because if the 635 00:45:57.679 --> 00:46:00.360 company's goals are, hey, I want to use new tools to achieve more 636 00:46:00.400 --> 00:46:05.719 productivity, more scale, and more agility, what would happen is their EBITA 637 00:46:05.800 --> 00:46:09.480 margins can still be low. They can take all the productivity gains from these 638 00:46:09.519 --> 00:46:15.639 new tooling and they would hire more people to do more. If there are 639 00:46:15.679 --> 00:46:17.920 companies that are more EBITA focused, they can achieve more EBITA and say hey, 640 00:46:17.920 --> 00:46:22.079 I'm going to optimize, cosse, reduce the and consolidate roles, and 641 00:46:22.159 --> 00:46:25.360 that will start happening from the C suite itself, right, There will be 642 00:46:25.400 --> 00:46:30.280 consolidation of some SPEECE suite roles. For example, you know we're talking about 643 00:46:30.400 --> 00:46:35.760 what do we call the prompt engineer as opposed to a typical engineer, right, 644 00:46:35.960 --> 00:46:39.920 or the prompt nurse or a prompt doctor as opposed to a typical doctor. 645 00:46:40.480 --> 00:46:45.000 So a lot of that is going to lead to like, for example, 646 00:46:45.039 --> 00:46:47.639 today we have an architect role and a designer role, a product or 647 00:46:47.760 --> 00:46:52.599 product management, and an engineer who's writing code. I see conversions happening in 648 00:46:52.679 --> 00:46:57.559 some of those rules where a designer who can think through what needs to be 649 00:46:57.599 --> 00:47:01.760 solved can produce beautiful code and secure your code to really solve business challenges. 650 00:47:02.199 --> 00:47:07.239 Similarly, there will be convergence on customer success and support. I do see 651 00:47:07.320 --> 00:47:12.960 disruption happening across the board in all types of roles, Eric, but I 652 00:47:13.000 --> 00:47:17.760 see it as just like virtualization and cloud have led to changes in the companies. 653 00:47:17.920 --> 00:47:22.800 Yeah right. I think if the companies can embrace this change and learn, 654 00:47:22.679 --> 00:47:25.880 they can use it to their advantage to growing and you know, even 655 00:47:27.039 --> 00:47:30.920 growing their profits and hiring even more people. Yeah, that's kind of how 656 00:47:30.960 --> 00:47:34.280 I see it. But you still see how it's going to play out. 657 00:47:34.800 --> 00:47:37.440 Yeah, and you know, yeah, that's a good point. Eve. 658 00:47:37.440 --> 00:47:40.000 I'll bring you back into this because Eve is an excellent prompt engineer. He's 659 00:47:40.039 --> 00:47:44.639 learned a lot about leveraging this technology, and it is a different sort of 660 00:47:44.679 --> 00:47:49.079 thing. It's different than a Google query. You have to give specific instructions 661 00:47:49.119 --> 00:47:52.440 and be precise. The more precise you can be, the more closer you're 662 00:47:52.440 --> 00:47:54.199 going to get to the answer that you're looking for. But to me, 663 00:47:54.239 --> 00:47:58.519 I think the real winner is going to be the companies who figure out how 664 00:47:58.559 --> 00:48:05.400 to leverage this technology at some scale in some significant capacity like customer service for 665 00:48:05.440 --> 00:48:07.519 example, that's going to be a real big one customer service, but also 666 00:48:07.559 --> 00:48:15.079 just operations and simple things like think about the annoying side of booking flights to 667 00:48:15.199 --> 00:48:17.519 go somewhere. Even to this day, even with all these engines, it 668 00:48:17.559 --> 00:48:22.400 takes me like thirty forty freaking minutes going back and forth checking the different times, 669 00:48:22.440 --> 00:48:24.360 Okay, is this gonna work? Is that? How much is this? 670 00:48:24.400 --> 00:48:28.159 How much is that? And these are powerful engines, and it still 671 00:48:28.159 --> 00:48:31.199 takes like forty freaking minutes when you could have your smart little bot and say, 672 00:48:31.280 --> 00:48:35.880 hey, bot, I want tickets to Austin, Texas. I want 673 00:48:35.920 --> 00:48:39.039 it to be other three hundred dollars within this date range go and just hit 674 00:48:39.079 --> 00:48:42.760 your button and itally ding ding ding ning. That's like just going back and 675 00:48:42.800 --> 00:48:46.320 forth by itself doing all this stuff for you and then guess what it comes 676 00:48:46.320 --> 00:48:49.840 back and it gives you. You just get the alert thing. Here's your 677 00:48:50.199 --> 00:48:51.719 thing. Do you want to buy it now? Yes? Or no? 678 00:48:51.880 --> 00:48:58.079 Boom, buy that sucker. I mean that seems complex. It is complex, 679 00:48:58.159 --> 00:49:00.880 but we're not far from that. I think the companies that figure out 680 00:49:01.000 --> 00:49:06.320 how to enable all these new technologies are just going to crush it out there. 681 00:49:06.360 --> 00:49:09.360 But Eve, what do you think? Yeah, what you're referring to 682 00:49:09.519 --> 00:49:14.639 is as the workflow orchestration. What we know already for twenty thirty years these 683 00:49:14.679 --> 00:49:20.360 systems, but they are set up in a certain sequence on how the design 684 00:49:20.400 --> 00:49:23.360 is thought that the workflow would work. And I think with the large language 685 00:49:23.400 --> 00:49:28.840 models and how they are trained, they're becoming hyper personalized. So there are 686 00:49:28.840 --> 00:49:32.599 adapting to how you behave and how you would like to book your flight and 687 00:49:32.639 --> 00:49:37.320 what you want to get and instruct you on how to do that. And 688 00:49:37.360 --> 00:49:43.559 that's where I think is the power in doing that. Just before Rohney said 689 00:49:43.960 --> 00:49:47.480 about hiring even more people, I just recently saw an interview about the big 690 00:49:47.559 --> 00:49:52.400 resets and exponential organizations where they said, back in the days, she needed 691 00:49:52.559 --> 00:49:57.119 ten thousand people to run a company and to scale and to have that all 692 00:49:57.159 --> 00:50:00.280 these resources. And then it came down and now it AI technologies. You 693 00:50:00.280 --> 00:50:05.039 will be capable of running your company with just two people and the rest will 694 00:50:05.079 --> 00:50:09.000 be will be done by AI system by technology. So you can do the 695 00:50:09.039 --> 00:50:13.119 ideation, but you can do it at such a speed and at such a 696 00:50:13.159 --> 00:50:17.440 scale that we will have a different type of organization these days. And that's 697 00:50:17.440 --> 00:50:23.039 where I think it's definitely these guys had amazing thoughts in the interview. Definitely 698 00:50:23.159 --> 00:50:28.880 something you need to watch. But that's that's my feeling where organizations will go 699 00:50:28.960 --> 00:50:34.760 to and with AI, things will become even more well, cheaper, even 700 00:50:34.800 --> 00:50:38.000 easier available, and that's going to be the big transformation what we will be 701 00:50:38.039 --> 00:50:43.599 seeing. So as a as a human being, we can get the augmentation, 702 00:50:43.719 --> 00:50:45.800 but we need to change and we need to adapt in such a way. 703 00:50:45.880 --> 00:50:52.079 And I don't know if we're already ready up to that new way of 704 00:50:52.519 --> 00:50:57.199 doing things. Yeah, it is going to require change of workflow and change 705 00:50:57.199 --> 00:51:00.480 of what people do every day. We're Heini, maybe off throw it back 706 00:51:00.480 --> 00:51:07.079 over to you. I'm still maintaining that the major way in which AI affects 707 00:51:07.079 --> 00:51:10.280 our day to day lives is going to manifest itself in the form of suggestions 708 00:51:10.840 --> 00:51:15.400 I suggest you do this that the other thing, whether it's send out emails, 709 00:51:15.559 --> 00:51:19.760 call this person, just basic stuff because it's not that complicated what you're 710 00:51:19.800 --> 00:51:22.320 doing in your job. But if you give the AI access to your workflow 711 00:51:22.360 --> 00:51:27.079 and your systems, it can track all these things and see who you're talking 712 00:51:27.119 --> 00:51:30.320 to. I mean, Google's already doing this in a lot of different ways 713 00:51:30.440 --> 00:51:34.119 in your Gmail. Like when you type an email. If you're in the 714 00:51:34.199 --> 00:51:37.000 Gmail clients and you type an email to a friend, you're type in their 715 00:51:37.079 --> 00:51:39.280 name, It'll like say, do you want to add this person? Do 716 00:51:39.320 --> 00:51:43.599 you want to add that person? Because it knows from recent interactions that those 717 00:51:43.639 --> 00:51:46.079 people are on the thread. I mean, that's simple, but it's still 718 00:51:46.119 --> 00:51:52.840 pretty compelling and it saves us time and effort. Right Rohani, Productivity is 719 00:51:52.880 --> 00:51:57.280 one part of it right, Well, I can even imagine the world of 720 00:51:57.639 --> 00:52:01.159 it's an ADVII diseases getting make it funny here we're in, you know, 721 00:52:01.199 --> 00:52:06.639 because we are going to be directed to behavior seton way and asked to you 722 00:52:06.679 --> 00:52:08.159 know, guide it every seton way saying hey, you can do this, 723 00:52:08.280 --> 00:52:12.360 you can stand up, you can do this, do that, And that 724 00:52:12.400 --> 00:52:15.480 can also result in so much influence on us, and that can result in 725 00:52:15.519 --> 00:52:21.760 a new disease called the generative AI disease or something else that lable ten years 726 00:52:21.760 --> 00:52:24.960 from now. Right. But again, productivity gains are going to be significant, 727 00:52:25.039 --> 00:52:29.519 like eave set you know, there can be startups of five to ten 728 00:52:29.559 --> 00:52:34.400 people that can be producing enormal seats um and uh you know, uh, 729 00:52:34.599 --> 00:52:38.480 simplicity, security, all of this will become corner stones, right and yeah, 730 00:52:38.519 --> 00:52:42.320 so we're that's right, We're going to read all these things for sure, 731 00:52:42.400 --> 00:52:44.760 and you're going to be able to, you know, set your boundaries 732 00:52:44.840 --> 00:52:49.360 for what what constitutes security, what constitutes privacy. It's kind of a folks 733 00:52:49.360 --> 00:52:53.760 podcast polit segment is coming up next. You're listenings Inside and Out Southern California's 734 00:52:53.880 --> 00:53:00.440 Mind Spread Progressive Talk in Southern California. Legen Jill of the best talk. 735 00:53:02.400 --> 00:53:07.519 This segment sponsored by the generous support of the dream team. Looking for the 736 00:53:07.599 --> 00:53:12.000 keys to something bigger and better, downsizing or relocating to the perfect spot. 737 00:53:12.079 --> 00:53:17.159 Oscar Ramirez from Century twenty one Lowslower real Estate and Matt Flores from Secure Choice 738 00:53:17.239 --> 00:53:22.000 Lending are here to help you sell or buy with their trusted and experienced knowledge 739 00:53:22.079 --> 00:53:27.519 and advice. People are calling Oscar and Matt at nine five one seventy five 740 00:53:27.639 --> 00:53:31.639 one three two four nine. That's nine five seven five one thirty two forty 741 00:53:31.679 --> 00:53:36.960 nine real estate and loan advisors. Oscar and Matt can give you a no 742 00:53:37.159 --> 00:53:40.320 cost consultation. You don't have to buy anything. 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Calholmes Group, the guys who buy Ugly Holmes on the air 769 00:55:49.760 --> 00:55:58.039 because they care. With sixty years of fascinating facts, this is the man 770 00:55:58.239 --> 00:56:02.719 from yesterday and back in time. We go to this time in nineteen eighty 771 00:56:02.719 --> 00:56:09.440 two. Top TV shows sixty Minutes with a nineteen chare Fantasy Island with an 772 00:56:09.440 --> 00:56:14.440 eighteen share, Hard to Heart with an eighteen share, and Alice with an 773 00:56:14.440 --> 00:56:17.639 eighteen share. And the top TV show this time in nineteen eighty two is 774 00:56:17.960 --> 00:56:23.039 Mash with a nineteen chair. I'm Mike Wallace, I'm really Safer, I'm 775 00:56:23.119 --> 00:56:28.559 Dan Rather, I'm Harry Reasoner. Those stories and more tonight on sixty Minutes 776 00:56:28.800 --> 00:56:32.119 and from this time in nineteen fifty eight, Jesse Presley, sixty two year 777 00:56:32.159 --> 00:56:37.199 old grandfather of Elvis, is signed with Legacy Records He is now in the 778 00:56:37.280 --> 00:56:43.760 process of recording his first album, consisting of four Mississippi cotton picking tunes. 779 00:56:44.239 --> 00:56:58.559 Here's one of them, Bi, I Go Dotown, Doorround and from this 780 00:56:58.599 --> 00:57:02.000 time in nineteen seventy four were passing actor Joe Flynn, who was only forty 781 00:57:02.079 --> 00:57:07.440 nine, best known for his appearances in Disney films and a co star of 782 00:57:07.559 --> 00:57:12.840 TV's Kale's Needy. You're not a naval officer or a naval disaster. Oh 783 00:57:12.960 --> 00:57:16.360 yeah, whole record here, It's like an encyclopedia of lost battle Well, 784 00:57:16.440 --> 00:57:22.199 sir, now, I had very high March Naval officers. Etiquin with Moore 785 00:57:22.519 --> 00:57:31.639 at Man from yesterday dot Com, NBC News Radio. I'm Chris Garraggio, 786 00:57:31.800 --> 00:57:36.960 former Vice president at Mike Penn says there are other differences between he and former 787 00:57:37.000 --> 00:57:40.519 President Trump than just January sixth. After leading the most pro life administration in 788 00:57:40.559 --> 00:57:45.480 American history, former running mate Is has taken to calling some pro life bills 789 00:57:45.480 --> 00:57:50.039 at the state level two harsh. Speaking on NBC's Meet the Press, the 790 00:57:50.039 --> 00:57:53.719 GOP presidential hopeful added that the Republican candidates in twenty twenty two who focused on 791 00:57:53.800 --> 00:57:58.679 the future did better than candidates who dwelled on the past, which appeared to 792 00:57:58.719 --> 00:58:01.599 be a reference to election fraud claims in the twenty twenty presidential election. Pennce 793 00:58:01.639 --> 00:58:06.480 also claimed that Trump's position on the national debt is the same as that of 794 00:58:06.480 --> 00:58:08.920 President Biden. Five people, including two miners, are dead after a house 795 00:58:08.960 --> 00:58:13.599 fire in North Carolina. Authorities say it happens Sunday in Broadway, where the 796 00:58:13.679 --> 00:58:16.239 home reportedly burned to the ground. Two people who lived together in the house 797 00:58:16.280 --> 00:58:20.719 were identified. A family friend who was staying with them was also killed, 798 00:58:20.880 --> 00:58:24.159 along with his two young sons. A cause is unknown and the investigation is 799 00:58:24.159 --> 00:58:29.360 ongoing. An earthquake with a preliminary magnitude of six point three has been recorded 800 00:58:29.360 --> 00:58:32.760 in the Gulf of California. It struck Sunday afternoon just off Mexico's Baja California, 801 00:58:34.000 --> 00:58:37.760 roughly eighty miles from Kabo, San Lucas. Officials say there's no tsunami 802 00:58:37.840 --> 00:58:42.119 danger for the US West Coast, British Columbia, or Alaska. Initial reports 803 00:58:42.119 --> 00:58:45.320 indicate no injuries or damage. The chair of a Senate subcommittee says he wants 804 00:58:45.360 --> 00:58:50.920 more details about the recent merger between the PGA and a Saudi backed golf Tour, 805 00:58:51.079 --> 00:58:53.519 what winned this deal, who was behind it, and whether there was 806 00:58:53.559 --> 00:58:59.480 any improper conduct or wrong booting on CBS's face the Nation. Democratic Senator Richard 807 00:58:59.480 --> 00:59:04.280 Blumenthal of Connecticut said the Permanent Subcommittee on Investigations is looking for answers. The 808 00:59:04.360 --> 00:59:07.159 Live Tour was founded in twenty twenty one and began competition in twenty twenty two, 809 00:59:07.400 --> 00:59:10.880 drawing many of the top names from the PGA Tour. Blumenthal says the 810 00:59:10.920 --> 00:59:15.119 investors are from a country that has a repressive and autocratic government that's trying to 811 00:59:15.119 --> 00:59:20.639 take over the American Institution of Golf four PR purposes. The PGA and Live 812 00:59:20.920 --> 00:59:24.320 stunned the sports world with their sudden merger earlier this month. I'm Chris Garraggio, 813 00:59:24.480 --> 00:59:28.719 NBC News Radio. If you're looking for a fuller, part time sales 814 00:59:28.760 --> 00:59:32.199 position and you have radio, TV or print media experience, KCAA has a 815 00:59:32.239 --> 00:59:36.760 great opportunity waiting for you that pays the highest commissions in the market. If 816 00:59:36.800 --> 00:59:40.679 you're interested in a sales position with us, email CEO at KCAA Radio dot 817 00:59:40.679 --> 00:59:47.320 com, KA Kilistina KCAA, Lomalinda at one oh six point five FM, 818 00:59:47.440 --> 00:59:52.400 K two ninety three CF Burrino Valley. Do you want to learn and get 819 00:59:52.440 --> 00:59:55.280 answers to questions not addressed in the mass media, Then you want to hear 820 00:59:55.320 --> 01:00:00.119 my show business game Changers with me, Sarah Westall. I've conversations with thought 821 01:00:00.199 --> 01:00:05.480 leaders who have the courage to address off limit topics, so you and your 822 01:00:05.519 --> 01:00:08.559 family have the tools to make the right decisions. Join me Wednesdays at four