THE CRUDE TRUTH Ep. 75 Sharon Muniz -NCN Technology and David Blackmon
Sharon Muntz from NCN Technology discussing the role of AI in the energy industry and its potential impact on businesses. Sharon emphasizes the importance of integrating AI into organizations to improve efficiency and stay competitive. She highlights the need for companies, especially smaller ones, to adopt AI gradually and strategically to address specific business needs rather than implementing it for the sake of it. The conversation also touches on the regulatory challenges associated with AI and the potential implications for innovation and competitiveness.
Overall, Sharon emphasizes the transformative potential of AI in various sectors, including energy, and encourages businesses to embrace technological advancements to enhance productivity and address emerging challenges.
Highlights of the Podcast
01:55 ā NCN technology
04:07 ā A little background of NCN
05:01 ā AI is most beneficial with agencies or with organizations
07:55 ā An AI application
08:39 ā A little bit of a misconception
09:23 ā One thing about AI
11:02 ā The best way to leverage AI
13:40 ā The big AI company
14:40 ā Natural gas will become that transition fuel
16:00 ā Nape conference for the luncheon
18:43 ā U.S. technology companies
19:23 ā The federal government
21:14 ā The US are going to be left behind
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THE CRUDE TRUTH Ep. 75 Sharon Muniz -NCN Technology and David Blackmon
Video Transcription edited for grammar. We disavow any errors unless they make us look better or smarter.
NarratorĀ [00:00:00] In 1901 at Spindletop Hill near Beaumont. The future of Texas changed dramatically. As, like a fountain of fortune, thousands of barrels of oil burst from the earth towards the sky. Soon, Detroit would be cranking out Model TS by the millions and America was on the move. Thanks to the black gold being produced in Texas, now, more than a century later, the vehicles are different, but nothing else has truly changed. Sure, there may be many other alternative energy sources like wind and solar and electric. But letās be honest. America depends on oil and entrepreneurs. And if the USA is truly going to be independent, it has to know the crude truth.
Rey TreviƱoĀ [00:00:43] Nape is a proud sponsor of the Crude Truth. Be sure to register for the Nape Expo 2024 for February 7th through the ninth at the George R Brown Convention Center in Houston, Texas. Hurry and register today. Nape where deals happen.
NarratorĀ [00:00:59] This episode is brought to you by LFS chemistry. Committed to being good stewards of the environment and providing the tools so you can be too. Nape Expo where deals happen. Air compressor solutions when everything is on the line, air Compressor Solutions is the dependable choice to keep commercial business powered up. Sandstone Group, Exec Crue. Elevate your network. Elevate your knowledge. Oil and Gas workers association, Pecos country operating. Fueling our future.
Rey TreviƱoĀ [00:01:32] All right. Here we are at Expo 2024 in Houston, Texas. Iām Rey TreviƱo from The Crude Truth. And along with me today is the one the only David Blackmon. David, how are you?
David BlackmonĀ [00:01:44] Iām good man. How are you doing tonight? Our guest today is Sharon Muntz. right?
Rey TreviƱoĀ [00:01:49] Yes. Yeah. Sheās sitting right here. Sharon, how are you?
Sharon MunizĀ [00:01:51] Iām doing great. Thank you. Very excited to be at Nape and to meet with you all.
Rey TreviƱoĀ [00:01:55] NCN technologies.
David BlackmonĀ [00:01:56] You are AI.
Sharon MunizĀ [00:01:58] we work with AI yes we do enterprise application development for clients. We work with a lot of state and federal, local government and entrepreneurs as well.
Rey TreviƱoĀ [00:02:08] So our an expert on the regulatory space right.
Sharon MunizĀ [00:02:12] Well I, we have helped with licensing and permitting applications. Not necessarily the regulatory. You would be the expert in the regulatory space.
David BlackmonĀ [00:02:26] I used to be, Iām old now, but.
Sharon MunizĀ [00:02:28] We would have build the application that would, enable folks to to meet the requirements and through the reporting. So that would be our capacity as well.
Rey TreviƱoĀ [00:02:41] Weāre really I think, you know, so far.
Sharon MunizĀ [00:02:43] Our neighbor has been great. I mean, meeting so many wonderful people, learning a lot about the industry. I canāt believe, some of the challenges that are being faced right now with all the regulatory issues. I mean, you you bring up a great point. The person who was speaking about it yesterday, it just seems like itās holding up business quite a bit. Itās holding up the ability for companies to do anything and move forward. Which is a real shame.
Rey TreviƱoĀ [00:03:10] Yeah. Where is your, what state are you, man? Are you in Texas?
Sharon MunizĀ [00:03:14] Actually, we are not doing any work with the state of Texas at the moment. Our clients in Texas, even though we are trying to work with a few. Yeah, we, have worked with nine different states as far as state agencies are concerned. We we built a Cal Fire application. We built, a school bus inspection app for our client, Department of Natural Resources application for another state, to help with licensing and permitting. So, yeah, a lot of, inventory type things and. Yeah.
Rey TreviƱoĀ [00:03:45] Sure. Okay. Sure. NCN technologyās and AI.
Sharon MunizĀ [00:03:48] Yes.
Rey TreviƱoĀ [00:03:50] Itās I feel like it is something that, Iām going to have to live with, you know, I donāt know, as Iām old, I, you know, I donāt have to. So itās like. So itās coming whether I want it or not.
Sharon MunizĀ [00:04:01] Exactly. Yeah.
Rey TreviƱoĀ [00:04:02] So where did this concept for NCN come from.
Sharon MunizĀ [00:04:04] oh. So Iāve been.
Rey TreviƱoĀ [00:04:06] A little background. Yeah.
Sharon MunizĀ [00:04:06] Yeah a little background as NCN. I started the company back in 2009. Iāve been in technology for over 20 years, so Iām dating myself a bit. But AI the reason that weāre talking about it is because you canāt not talk about it if youāre in technology. I mean, it is with us here to go to for the foreseeable future, and itās changing our world exponentially. So think of the internet.
Rey TreviƱoĀ [00:04:32] Yes.
Sharon MunizĀ [00:04:33] Now this is and how it rocked our world. Now look at this is, AI is now going to rock the world as well.
Rey TreviƱoĀ [00:04:39] I actually thatās a thatās a bad comparison because I mean, seriously, the internet. Yeah. Change everything. You always think about that funny joke on The Simpsons where Homer Simpson comes in, he goes, you know, to one of the kids, what are you doing? No, Iām on the internet. And heās like, that takes a while.
Sharon MunizĀ [00:04:54] Yeah, yeah, yeah, yeah, yeah. I mean, and so what, what where I see AI. Most beneficial AI is most beneficial with agencies or with organizations that have huge amounts of data in this. In this industry, thereās a lot of data. So if you have a lot of data and then the data has to be clean, you know, junk in, junk out, it has to be clean. It has to be valuable. Thatās where youāre going to get better performance out of your AI.
Rey TreviƱoĀ [00:05:21] Okay.
Sharon MunizĀ [00:05:22] Yes.
David BlackmonĀ [00:05:23] So and so you just touched on a subject that people have a great misconception about oil and gas industry, because all you ever see on television, thereās a bunch of really dirty guys out there on a rig turned on, you know, turn in the bike, right? You know, all all over themselves. And none of it looks like itās a high tech thing, though the amount of technology in the oil and gas business is overwhelming. Yes. Itās just incredible.
Sharon MunizĀ [00:05:47] Yes. Yeah. Thereās, from what Iāve been seeing today, it neighbors applications for every different type of, need out there, which is fantastic. What I have noticed, though, is that the data is very dispersed, across different areas. And so, but thatās very typical in the health care industry. You see, we see two state agencies. I mean, itās across different industries. Itās not just the energy industry. So figuring that out is something a lot of us need to try and do so we can make better decisions from the data if we have it aggregated.
David BlackmonĀ [00:06:21] Iāve got I have a background in accounting. I started out in the oil and gas business in early 1980s as a revenue account at a tax accountant, and, you know, we were filling out all the forms by hand. Man, we didnāt even have fax machines. Thatās all right. How could AI just as an example, a big company that operates 10,000 oil, right. A lot of those out there, has to pay a severance tax on every drop of oil they pull out of the ground. Every cubic foot of gas. You have to pay a severance tax, and you have all the data right associated with that. Could an AI application and theory accumulate all that data? Figure out, the requirements on the forms that that have to go into the state revenue collecting agency and actually automate the process of, filing those monthly tax returns.
Sharon MunizĀ [00:07:18] So you wouldnāt even need AI to do something like that. You can actually create an enterprise application that would do a lot of that. Now, what the AI component could do is help you with predicting where, how much youāre going to have to pay based on the data. That would be a very nice.
David BlackmonĀ [00:07:36] Prepay your tax.
Sharon MunizĀ [00:07:37] But no, no, no, I wouldnāt do that. No. But anything where predictive analysis, it would be a very nice area where it could be applied to that scenario. Yeah.
David BlackmonĀ [00:07:50] And really a more apt, example of that is AI, an AI application. And then I actually do know a little bit about this.
Sharon MunizĀ [00:07:58] Right.
David BlackmonĀ [00:08:00] If you have equipment out in the field and you have, letās say, your compressor station, hey, AI can actually be predictive on when that compressor station is going to have a mechanical issue. Correct. Basically.
Sharon MunizĀ [00:08:12] Right, exactly. Thatās why itās being used quite a bit in supply chain management, so that it can predict certain items like that based on the different factors that are, are placed in the, in the model.
David BlackmonĀ [00:08:25] So credibly valuable. Oh yeah.
Sharon MunizĀ [00:08:27] Hugely valuable because they can keep production going if it can reduce time from being out of operations and not that gain is extremely valuable. Where I think there might be a little bit of a misconception is that every company has a different need. Right. So, well, these are really good examples of where it could fit in. Whatās the goal of the company? And creating a proof of concept around where we should implement AI is a really good place to start, because just implementing an AI for the for the sake of implementing I could be, an expenditure thatās unnecessarily. Executed, right? So, Iām very big proponent of making sure that technology fits into the business needs. If it doesnāt, then who cares, right. And itās. Youāre just wasting money. Yeah. Okay, so.
Rey TreviƱoĀ [00:09:21] I will say this. I think that is one thing about AI. And again, Iām not, Iām not against it. Iām not for I just donāt, I havenāt, I havenāt go, but David definitely knows more about it than I do. Right. And but the fact that you can get into something that is good for your company, right? Thatās pretty unique. Yes. That itās like, oh, wait, maybe I canāt use it, but then Iām not where you like. Well, hold on, let me redo this. Let me show you what a small operator can do. Right. Versus the big operator. And boom, heās mentioned operations, right? Yes. Operating expenses. You know, thatās if we can lower that exact. And thatās better. Youāre a big company or small company. Well, if we can lower operating expense, you know, all bottom dollar is a lot better, especially in this family independent company for us and for the Texans and, chesapeakeās in the world, you know, better for their shareholders.
Sharon MunizĀ [00:10:09] Absolutely. So thereās multiple ways. So as a smaller company, thereās a lot of applications out there that are already integrating AI. So not necessarily bringing AI into your company and, and doing it from the ground up on your own. As a smaller organization, you would want to look into, like how is SAP integrating AI, how is your CRM system integrating AI as Salesforce, integrating AI, depending on what tools youāre using already in the organization, leverage those tools already so that you donāt have to. Youāre not spending more, youāre just utilizing the tools that you already have, and theyāre the ones who are investing in it, and theyāre going to help you become more efficient. So that is where I would. So just because you donāt have to take AI and bring it into your organization through an independent, source, you can you can bring it in through the tools youāre already using. And I think that is the best way to leverage AI from an organizational standpoint, personally.
Rey TreviƱoĀ [00:11:06] Now, is that what you guys would do and yours in like, how would it work? You know, you come in, hey, I need some AI.
Sharon MunizĀ [00:11:12] Yes.
Rey TreviƱoĀ [00:11:13] I donāt know the problem.
Sharon MunizĀ [00:11:14] Right, right. So on a consulting basis, what we would do is we would say, what are your business goals for the year and what are the biggest problems? What are the biggest challenges? What tools are you using? And we do go through a bit of an evaluation. And also you want to talk to the people, right? The people who are the most important part of this, like what are their challenges and how can we then, implement or augment by using AI to make the jobs better.
Rey TreviƱoĀ [00:11:39] Right? Right.
Sharon MunizĀ [00:11:40] And you might you might discover that through having an interview with one of your team members and theyāll be like, Iām really struggling with this. If I could do this next time faster, then you know, youāre youāre going to save so much money. You paying that employee? Yeah. When they can do it in four hours instead of 40. Right. But wouldnāt that be beneficial because.
Rey TreviƱoĀ [00:12:00] You know, it would be.
Sharon MunizĀ [00:12:03] Make your team a little bit more productive. Who doesnāt want to do thatās. Who doesnāt want to do that, right?
Rey TreviƱoĀ [00:12:09] I think I had a job to take a day and a half, take three this week. Well, while Iāve been here, itās amazing. What have you done? So we can.
Sharon MunizĀ [00:12:17] I.
David BlackmonĀ [00:12:17] Mean, another example to, you know, the biggest expense guys like Rahab, you know, out in the field. Yes. Biggest expense is electricity. Yeah.
Sharon MunizĀ [00:12:26] Oh, yes.
David BlackmonĀ [00:12:27] Yeah, AI could actually you could, you could probably develop an app and go in and analyze the efficiency of his equipment. Yes. And how itās using power and where where itās being inefficient could be having some mechanical problem and identify those saves and save them a lot of money in there. You.
Sharon MunizĀ [00:12:44] Yes, absolutely. And. Wow. Thatās a whole nother conversation because AI know. Yeah.
Rey TreviƱoĀ [00:12:51] Thatās thatās not easy.
Sharon MunizĀ [00:12:52] Yes. Ends. Well AI, I actually uses a lot of energy on top of it. So we were just speaking about that yesterday at the conference and how itās going to double. Itās going to have a significant impact on how we use energy over the next ten, 20 years because it just uses so much juice. And in my I said, I come from the Virginia area, Northern Virginia, and thereās just a huge amount of data centers in our area. And I thought, well, why donāt we use a combination strategically of solar wind in our area to, to, to juice up some of those? Not 100%, but letās do a mix.
Rey TreviƱoĀ [00:13:31] With.
Sharon MunizĀ [00:13:31] That. Combine it. Yeah, absolutely. Yeah.
David BlackmonĀ [00:13:34] Reliable capacity that way. I mean one of the, one of the CEOs I canāt remember his name. Now, the big AI company said weāre actually going to have to double generation capacity just to accommodate.
Sharon MunizĀ [00:13:45] And why are we putting solar panels on top of all those buildings. Right. Like how you just displace is theyāre just building and building on top of buildings, period. I donāt know, thatās just Toby pie in the sky. I donāt know, but I donāt know.
Rey TreviƱoĀ [00:13:59] Itās a common sense. You donāt want common sense? No, no, we canāt have that. I mean, I like when people say that, you know, only gas doesnāt like solar panels. Like I have it on some of my.
Sharon MunizĀ [00:14:08] Well, itās got to be a combination of it.
Rey TreviƱoĀ [00:14:11] Absolutely.
Sharon MunizĀ [00:14:12] Yes, I think thatās a must. I donāt know, I think they do like solar, but I think they know that we have to go in that direction. I mean, I shouldnāt tell you we they know because youāre an oil guy, but I mean, itās just the reality of it, right?
Rey TreviƱoĀ [00:14:25] Right now my thoughts are on that is one. Yeah. Well, itās not going to go away. But I think natural gas I mean, you know, we should go for oil and but some of these guys that are basically banking on natural gas right now, I donāt think thereās any problem with that because at some point, yeah, natural gas will become that transition fuel to the next big thing. Okay. And so yeah, thatās why I think thatāll go. And AI could be a huge help in all of that.
Sharon MunizĀ [00:14:51] Right. Because it can help predict where to find it. All of it can help reduce costs around transporting. It can help reduce all kinds of of cost. Based on the data.
Rey TreviƱoĀ [00:15:04] One of my ideas was to use air on railroads.
Sharon MunizĀ [00:15:07] Yeah, we should talk about that.
Rey TreviƱoĀ [00:15:11] Do we do we cut that out? Is that $1 billion?
Sharon MunizĀ [00:15:15] I donāt know right now. We can sell it all day long.
David BlackmonĀ [00:15:20] live streaming this on LinkedIn.
Sharon MunizĀ [00:15:22] Okay.
Rey TreviƱoĀ [00:15:25] Yeah, sure. This is on the local news right now.
Sharon MunizĀ [00:15:28] Yeah. It doesnāt matter if someone else has done it. We just have to do it better. So.
Rey TreviƱoĀ [00:15:31] Yes. Yes, yes.
Sharon MunizĀ [00:15:33] Really?
Rey TreviƱoĀ [00:15:33] No. Youāre absolutely right. My father has told us that. Itās like, you know, weāre not trying to reinvent the wheel. Yeah, well, theyāve been drilling all. We just need to do it better and more efficient. Yeah. And thatās what AI. And at some point I got to start to understand, you know, that my younger brother, whoās, you know, itās amazing what six years will do, but he, he likes it. He gets it, you know.
Sharon MunizĀ [00:15:53] Do you know what? One of the speakers yesterday. And I forget his name, and, I should know his name. He. He was our guest speaker at the Nape conference for the luncheon. He was phenomenal. And what he was saying was that the energy consumption of the world is basically mostly consumed by 1.3 billion of the 8 billion people, right. So what does that mean for social I mean, social injustice in a way, because all that means that all these other billions of people really need energy. So we need to do a cross. We have to be able to provide energy across all these different outputs, because we want to bring the rest of the world up to speed with us. And itās just not fair. Iām sorry, but our political views. But thatās why itās like, yes, we need oil. Yes, we need natural gas, yes, we need solar, yes, we need wind. We need it.
Rey TreviƱoĀ [00:16:45] All. We need it all. Yeah. We need oh, let me ask this.
Sharon MunizĀ [00:16:48] Yes.
Rey TreviƱoĀ [00:16:49] I want to ask.
Sharon MunizĀ [00:16:50] Bringing them up to our, our economic like level.
Rey TreviƱoĀ [00:16:54] Let me ask this. And I ask him this question. Sure. Would you two answered second, yes, AI being regulated by the government. And you think that weāre coming down the road and if so, how.
Sharon MunizĀ [00:17:05] It is coming down the road? Yes. I want to hear about your input.
David BlackmonĀ [00:17:08] I mean, I think that these politicians in Washington.
Sharon MunizĀ [00:17:12] Yes.
David BlackmonĀ [00:17:12] Itās literally no less American, I do. Right? Most of them are older. Nine.
Sharon MunizĀ [00:17:17] Yes.
David BlackmonĀ [00:17:17] Really scared.
Sharon MunizĀ [00:17:18] Yes.
David BlackmonĀ [00:17:19] Theyāre going to be the ones writing the laws that authorize the regulatory structure around AI. And it is. Thatās mind blowing to me. They are literally the worst class of people in our society to be in charge of that. And yet they are in charge of it all.
Sharon MunizĀ [00:17:36] Well, the regulating this industry, that oil and gas industry.
Rey TreviƱoĀ [00:17:40] From experience.
Sharon MunizĀ [00:17:40] And itās creating a lot of issues where Iām afraid, okay, so I do believe in governance and policy to an extent. Sure, because itās important for security purposes. But, if it if we put too much regulation on the AI and technology side of the House, weāre going to be way behind China, way behind Russia, way behind all the people who are behind India, behind all the other, global entities that are not putting restrictions. And guess what? Thatās going to hurt us all day long. Unfortunately, and weāre already kind if you if youāre playing in the space and youāre not talking to people globally because so many things are being done on a global basis that are phenomenal, then you know, youāre behind. Not everythingās invented here. Yeah. And so anyways, so if we put regulations on, on U.S. technology companies, we just have to be super careful with that.
David BlackmonĀ [00:18:48] Exactly. And thatās always been my even I spent 20 years of my career working with these regulatory agencies, and that whole process came in. Our goal was always not to be not regulated. Right? Right has a role to play.
Sharon MunizĀ [00:19:03] Absolutely.
David BlackmonĀ [00:19:03] Setting standards. Yeah. And those kinds of things that make sense. The key is to be regulated smartly, efficiently and in a way that allows for the innovation to happen. Yes, within these parameters and standards, and unfortunately, where particularly the federal government ends up going, is is to get way too involved in the weeds and picking winners and losers and and it just that that always creates such a mess. But you know thatās just our system thatās in place and you have to work.
Sharon MunizĀ [00:19:39] Yeah. Well hopefully they wonāt stagnate AI too much because we do have to have boundaries. So but I also feel like thatās at a corporate level responsibility as well. Right. Because if youāre not protecting your data, your people, then thatās on you as a business. So, thatās where policy and governance within your organization is super important, because what you donāt want is some of your IP to go out into some of these portals, and then itās out there for the world to own. Right. I mean, then itās gone. So you have to be careful. All right. And. Yeah. So.
David BlackmonĀ [00:20:19] Well, itās. Youāre in a brave new world. Yeah, you are. All are. You all are in despair. Yeah, yeah you are. Yāall wonāt believe this. But Sharon said she was nervous about doing this because she hasnāt done a lot of movies. And I actually have seldom seen a more effective spokesperson.
Sharon MunizĀ [00:20:36] Oh, youāre so kind. Thank You.
Rey TreviƱoĀ [00:20:39] You need to be speaking more often, but I usually donāt say anything.
Sharon MunizĀ [00:20:44] Oh, youāre so kind. Iāve actually really enjoyed this. You are so kind. I really have had a lot of fun.
Rey TreviƱoĀ [00:20:50] Well, I tell you this, you know, as we kind of get closer to the end, you know, where do you see AI going? And more importantly, where do you see technology going over the next five years?
Sharon MunizĀ [00:20:59] I see NCN technology really assisting companies with, bringing AI to their organizations because especially in smaller ones, they donāt know where to start and theyāre going to be left behind. And Iām afraid that our smaller companies in the US are going to be left behind, because if their regulations do start to come down the pike, are they just donāt know where to start. And I donāt blame them. Thereās so much fatigue out there already around AI. You know, because they donāt. And then they just push it away.
Rey TreviƱoĀ [00:21:28] And you donāt understand it and you donāt want to have to deal. Yeah, yeah.
Sharon MunizĀ [00:21:31] Itās, so gently bringing it into the fold, making sure that companies are really kind of thinking about it and slowly bringing it in the right way instead of throwing money away, but really trying to slowly bring it through.
Rey TreviƱoĀ [00:21:46] You know.
Sharon MunizĀ [00:21:46] The right way.
Rey TreviƱoĀ [00:21:47] Yeah, I love it.
David BlackmonĀ [00:21:48] Brings to mind, you know, one of my big complaints in the oil and gas business over the last 45 years really is that you always, anytime you suggest doing something differently, youāre changing, right? And you get the pushback from the from the veterans. Oh, yeah. Oh, yeah. Now, when I do that, this is the way weāve always done.
Sharon MunizĀ [00:22:06] Yes, absolutely.
David BlackmonĀ [00:22:07] The only reason you get for not changing. Yes. Thinking something better is because thatās the way weāve always done it. Thatās got to be real.
Sharon MunizĀ [00:22:15] Itās really hard and itās terrifying for them. And itās terrifying for a lot of companies because itās new, right? It is. Itās scary. I mean AI, it has been around since the 1950s, but generative AI is just now, as of a year itās at plus ago is hitting the market. And let me tell you, thereās some massive awesome things that you can do with it. We can create PowerPoints real quick. You can find data. You can do research like thereās so much you can do which will save you a ton of time.
Rey TreviƱoĀ [00:22:47] You know, you say that Iām a Iām working on my masterās degree right now.
Sharon MunizĀ [00:22:51] Oh, Iāll get you some ideas.
Rey TreviƱoĀ [00:22:52] Well.
Sharon MunizĀ [00:22:53] Technically.
Rey TreviƱoĀ [00:22:54] Yes. You know, Iām. I just turned 40, and so I graduated a long time ago with my undergrad. Yeah. Where online classes werenāt as big as they are now.
Sharon MunizĀ [00:23:04] Yes.
Rey TreviƱoĀ [00:23:05] And students, you know, now, you know, we werenāt allowed to have our computers on in class when I was right. And people taking notes on the computer was kind of unheard of in college. But you saw few people do it. Yeah. Now theyāre using AI to write the PowerPoints to do this.
Sharon MunizĀ [00:23:20] Oh, yeah.
Rey TreviƱoĀ [00:23:21] So, yeah. So thereās so much going on.
Sharon MunizĀ [00:23:23] Yeah. Itās going to change the world.
Rey TreviƱoĀ [00:23:26] you know?
Sharon MunizĀ [00:23:27] We just have to bring it into our our own worlds little by little. Add the capacity that youāre ready to. Right? But donāt be left behind.
Rey TreviƱoĀ [00:23:36] Well, sure. And for everybody out there, how can they, reach out to you guys in NCA text.
Sharon MunizĀ [00:23:41] For, you can email us at consulting at NCN technology.com. Or just visit us at NCN technology.com and check us out and give us a ring and weād be happy to help.
David BlackmonĀ [00:23:53] Okay. Thank you so much.
Sharon MunizĀ [00:23:55] Thank you
Rey TreviƱoĀ [00:23:57] Yeah. Thank you. David, thank you for
Sharon MunizĀ [00:24:00] David Thank you.
Rey TreviƱoĀ [00:24:00] Yes.
Sharon MunizĀ [00:24:01] Thank you. Talk to you more about regulation.
David BlackmonĀ [00:24:03] Absolutely.
Rey TreviƱoĀ [00:24:04] I think thatās a whole episode.
Sharon MunizĀ [00:24:05] Thatās a whole.
Rey TreviƱoĀ [00:24:05] Ā Yeah.
Sharon MunizĀ [00:24:06] Whole episode. Yeah, itās really interesting.
David BlackmonĀ [00:24:10] And letās actually just do that
Sharon MunizĀ [00:24:14] Permanent licensing. We got to have companies respond to that as fast as they can as soon as it comes out. Be ahead of the game.
David BlackmonĀ [00:24:21] Right, right. Exactly right. Exactly. Thatāll be Bill. Whatās coming. Right. I mean, you can see them coming from a mile away. Oh, yeah. Thanks, Congress forever. And thanks to the agents.
Sharon MunizĀ [00:24:30] They canāt even pass a budget. Some of my federal clients are like. Sorry, Sharon, we canāt buy right now. We donāt, you know, we donāt know what we can spend. Like what?
David BlackmonĀ [00:24:39] You know, what I need isnāt terrible. Or what I.
Sharon MunizĀ [00:24:41] Canāt even say. You know, thatās.
David BlackmonĀ [00:24:43] All I do. Is Substack, right? What is podcasting? Substack. And so, while Iām in here doing all this podcasting, Iām not putting content out on satellite. So I need an application that, you know, put in my voice and put out content while Iām just sitting here. And then itās like.
Sharon MunizĀ [00:25:01] Yeah, human elements are always important though, so. But no, but we I can absolutely help you with that too. And you would be amazed at what some of the product information thatās generated.
Rey TreviƱoĀ [00:25:13] Iām afraid of that, though. Right? Iām afraid of losing voice. Yeah. You know. Yes. Getting it right And then people,.
Sharon MunizĀ [00:25:20] Ā No, you have to read it. Did you hear about the lawyer that did that? And then he went to court. And then the judge was like, read it now did he not. He didnāt he. Yeah. He didnāt read it. And it was bogus material.
Rey TreviƱoĀ [00:25:35] oh wow.
Sharon MunizĀ [00:25:35] Because the I hallucinated they call it hallucinations and it made up the information. And then he got and it got thrown out of court.
Rey TreviƱoĀ [00:25:44] Wow.
David BlackmonĀ [00:25:45] Oh my God.
Sharon MunizĀ [00:25:45] Yeah, yeah.
David BlackmonĀ [00:25:47] Itās how it never be the risk to write, you know? Hey, I make something up. That isnāt true. I end up getting sued over something you didnāt even write.
Sharon MunizĀ [00:25:55] Yeah, yeah, yeah. No, you definitely. The human element is supremely important.
Rey TreviƱoĀ [00:26:00] Yeah. Well, again, Sharon, thank you so much. And, we look forward to having you again on. Thank you. Thank you so much.
David BlackmonĀ [00:26:06] Energy question. Weāll talk about regulations. Yes.
Sharon MunizĀ [00:26:09] Sounds good. Thank you. All right. Thank you. Take care.
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