1 00:00:03,720 --> 00:00:09,200 Speaker 1: It's that time time, time, time, luck and load. 2 00:00:11,320 --> 00:00:12,680 Speaker 2: Michael Verie Show. 3 00:00:12,880 --> 00:00:17,040 Speaker 3: Is on the air. So I want to know you 4 00:00:17,280 --> 00:00:20,279 Speaker 3: think Robert F. Kennedy Junior is the metal field is 5 00:00:20,320 --> 00:00:20,680 Speaker 3: our guest. 6 00:00:20,760 --> 00:00:24,040 Speaker 4: He's the CEO of rigzone dot com and if you 7 00:00:24,079 --> 00:00:26,000 Speaker 4: go to the website you'll see that in addition to 8 00:00:26,079 --> 00:00:30,200 Speaker 4: be a marketplace from the industry, not the outside press 9 00:00:30,200 --> 00:00:33,199 Speaker 4: that tends to hate energy, the greeny weenies and the 10 00:00:33,280 --> 00:00:35,839 Speaker 4: left wingers. It is from within the industry. It is 11 00:00:35,920 --> 00:00:41,559 Speaker 4: information about the energy industry. And it's also the largest 12 00:00:42,400 --> 00:00:46,519 Speaker 4: job placement within the industry for all sorts of jobs, 13 00:00:46,640 --> 00:00:48,800 Speaker 4: and they're hiring and that's that was the real reason 14 00:00:48,840 --> 00:00:51,599 Speaker 4: we reached out to Chadnorville of rigzone dot com as 15 00:00:51,640 --> 00:00:56,240 Speaker 4: part of our business Leader Insight series from net Suite 16 00:00:56,360 --> 00:00:59,080 Speaker 4: by Oracle, and you, as a CFO can get their 17 00:00:59,120 --> 00:01:03,160 Speaker 4: free guide to machine learning in AI and how you 18 00:01:03,200 --> 00:01:06,319 Speaker 4: can use it in your own company at NetSuite dot com. 19 00:01:06,319 --> 00:01:08,960 Speaker 4: Forward slash berry my last name. I mean, technically you 20 00:01:09,160 --> 00:01:10,640 Speaker 4: not put my last name in there, but you make 21 00:01:10,680 --> 00:01:12,160 Speaker 4: me look good if you do, and I appreciate it. 22 00:01:12,360 --> 00:01:16,199 Speaker 4: NetSuite dot com Forward slash Barry. So you were talking 23 00:01:16,240 --> 00:01:19,559 Speaker 4: about AI and the role of AI. And you don't 24 00:01:19,600 --> 00:01:22,800 Speaker 4: see that replacing a lot of jobs in the short run. 25 00:01:23,760 --> 00:01:26,520 Speaker 4: You see it more as something that employees will just 26 00:01:26,600 --> 00:01:27,919 Speaker 4: have to use as a tool. 27 00:01:28,400 --> 00:01:29,480 Speaker 3: Is that what I'm hearing you say? 28 00:01:30,000 --> 00:01:33,120 Speaker 1: Absolutely? And I can give you an example. Last month, 29 00:01:33,160 --> 00:01:36,280 Speaker 1: I was at the Saudi Aramco Gala for the fiftieth 30 00:01:36,319 --> 00:01:38,560 Speaker 1: anniversary of Aramco America's in Houston. 31 00:01:38,600 --> 00:01:39,680 Speaker 2: It was a fantastic event. 32 00:01:40,319 --> 00:01:42,320 Speaker 1: I met a gentleman there who leads their data services, 33 00:01:42,440 --> 00:01:45,080 Speaker 1: brilliant guy, double master's double phc from MIT. 34 00:01:45,280 --> 00:01:46,520 Speaker 2: He leads data sciences there. 35 00:01:46,560 --> 00:01:49,840 Speaker 1: They're just fascinating fellow talking to him, talking to some 36 00:01:49,880 --> 00:01:53,280 Speaker 1: other folks at a data science event actually last year, 37 00:01:53,760 --> 00:01:58,520 Speaker 1: and they're using AI for some really interesting purposes. 38 00:01:58,560 --> 00:02:00,680 Speaker 2: One of them, I can tell you that I thought. 39 00:02:00,560 --> 00:02:04,000 Speaker 1: Was interesting is, uh, they're using it looking at machines 40 00:02:04,000 --> 00:02:06,560 Speaker 1: to predict when they're going to break down. You know, 41 00:02:06,680 --> 00:02:09,760 Speaker 1: it's cash is king, you need your you need to 42 00:02:09,800 --> 00:02:13,919 Speaker 1: be producing and so pumps big machinery that they leverage out. 43 00:02:13,800 --> 00:02:14,600 Speaker 2: In the ol field. 44 00:02:15,000 --> 00:02:17,080 Speaker 1: H Being able to tell when those things need you know, 45 00:02:17,120 --> 00:02:20,280 Speaker 1: the appropriate time to service them. What when the general 46 00:02:20,320 --> 00:02:22,520 Speaker 1: times that they break down under what conditions and what 47 00:02:22,720 --> 00:02:24,840 Speaker 1: oil fields and you know what environment. 48 00:02:25,320 --> 00:02:25,680 Speaker 2: Uh. 49 00:02:25,720 --> 00:02:28,400 Speaker 1: These AI models that they're developing can more accurately do 50 00:02:28,440 --> 00:02:30,800 Speaker 1: that and it creates more efficiency. So you hear everyone say, 51 00:02:31,120 --> 00:02:32,640 Speaker 1: you know, we don't have as many rigs, but they 52 00:02:32,639 --> 00:02:35,160 Speaker 1: operate more efficiently. This is part of why they're operating 53 00:02:35,160 --> 00:02:36,799 Speaker 1: more efficiently. You know, you hear that and you don't 54 00:02:36,800 --> 00:02:38,839 Speaker 1: know what it means. This is what it means. They're 55 00:02:38,840 --> 00:02:41,200 Speaker 1: bringing AI to bear and that doesn't mean it's doing 56 00:02:41,240 --> 00:02:42,880 Speaker 1: it on its own and a robot is bringing it. 57 00:02:42,919 --> 00:02:46,400 Speaker 1: Back to leadership, there are engineers and managers out in 58 00:02:46,440 --> 00:02:50,040 Speaker 1: the field that they're help using AI modeling to optimize wells, 59 00:02:50,440 --> 00:02:53,040 Speaker 1: and they're responsible for a group or a field of wells. 60 00:02:53,200 --> 00:02:55,840 Speaker 1: They're able to more efficiently and effectively look at all 61 00:02:55,880 --> 00:02:59,160 Speaker 1: of that data, make decisions, look at suggestions, look at 62 00:02:59,160 --> 00:03:01,680 Speaker 1: past experience, and those models can look at all of 63 00:03:01,680 --> 00:03:05,600 Speaker 1: this data significantly more effectively than a person could and 64 00:03:05,680 --> 00:03:10,120 Speaker 1: find patterns, find trends. This is what AI is bringing 65 00:03:10,120 --> 00:03:10,840 Speaker 1: to the industry. 66 00:03:10,919 --> 00:03:12,120 Speaker 2: Just just one example. 67 00:03:12,360 --> 00:03:16,480 Speaker 1: They're using AI to you know, for safety mech you know, 68 00:03:16,560 --> 00:03:20,000 Speaker 1: processors looking to see if people are not wearing hard hats. 69 00:03:20,520 --> 00:03:22,400 Speaker 2: You know, I mean it's as simple as that. 70 00:03:22,520 --> 00:03:25,120 Speaker 1: There's a lot of really interesting things that AI is 71 00:03:25,160 --> 00:03:29,480 Speaker 1: actually doing. Everyone sees AI or here is it, thinks terminator. No, no, no, 72 00:03:29,800 --> 00:03:31,600 Speaker 1: you know we're far from there. I'm not saying we're 73 00:03:31,639 --> 00:03:33,760 Speaker 1: not going to get there, but you know, right now, 74 00:03:34,680 --> 00:03:37,240 Speaker 1: they're really interesting tools that we can use to our advantage. 75 00:03:37,280 --> 00:03:42,400 Speaker 1: I use chat GPT to brainstorm, and as you ask 76 00:03:42,480 --> 00:03:44,920 Speaker 1: for an assistant, I'll need one because I have these 77 00:03:45,000 --> 00:03:48,120 Speaker 1: AI tools now to create frameworks for code whenever I 78 00:03:48,160 --> 00:03:49,440 Speaker 1: need it. 79 00:03:49,520 --> 00:03:51,400 Speaker 3: Give me a project you were working on where you 80 00:03:51,440 --> 00:03:51,720 Speaker 3: did that. 81 00:03:51,760 --> 00:03:53,440 Speaker 4: Because I'm not I'm not a big tech person, but 82 00:03:53,480 --> 00:03:56,080 Speaker 4: I understand how it can be. Give me a real 83 00:03:56,120 --> 00:03:57,760 Speaker 4: life example of when you used it recently. 84 00:03:59,200 --> 00:04:02,000 Speaker 1: So just in queries, I can tell it what the 85 00:04:02,120 --> 00:04:05,800 Speaker 1: data structures look like and give them, you know, the 86 00:04:05,840 --> 00:04:09,240 Speaker 1: information that shows them what data I'm dealing with. Tell 87 00:04:09,280 --> 00:04:11,920 Speaker 1: them what's there, and you know, the more experience you 88 00:04:11,960 --> 00:04:14,440 Speaker 1: have with it, and the more detailed and the better 89 00:04:14,560 --> 00:04:17,320 Speaker 1: the question if you will to the AI, the better 90 00:04:17,400 --> 00:04:20,320 Speaker 1: sponsor you're going to get. So a very detailed set 91 00:04:20,360 --> 00:04:22,280 Speaker 1: of information with guidelines or rules. 92 00:04:22,560 --> 00:04:23,960 Speaker 2: I gave it that and it was able to. 93 00:04:23,880 --> 00:04:26,440 Speaker 1: Write a query that might have taken me forty five 94 00:04:26,480 --> 00:04:29,680 Speaker 1: minutes of you know, ironing and ironing out and tweaking. 95 00:04:30,480 --> 00:04:33,760 Speaker 1: It was able to do almost instantaneous. Now I've not 96 00:04:33,880 --> 00:04:36,680 Speaker 1: got one piece of code or anything back from any 97 00:04:36,720 --> 00:04:38,640 Speaker 1: of the big apps. And I use the big three 98 00:04:38,720 --> 00:04:42,320 Speaker 1: tools from Google, Tragedy, to and Profit. I'm not getting 99 00:04:42,360 --> 00:04:44,320 Speaker 1: anything that's not wrong on the first go. You have 100 00:04:44,360 --> 00:04:46,919 Speaker 1: to look at it, you have to supervise the work, 101 00:04:47,200 --> 00:04:49,560 Speaker 1: and I have to change something on every piece. But 102 00:04:50,360 --> 00:04:53,279 Speaker 1: it's giving me the head start. It's doing you know, 103 00:04:53,360 --> 00:04:56,680 Speaker 1: forty percent minimum of the foundation of the core code, 104 00:04:56,760 --> 00:04:59,000 Speaker 1: the framework, and I ask it for framework more than anything, 105 00:04:59,320 --> 00:05:02,400 Speaker 1: and then I'll fill and the you know, the pieces 106 00:05:02,440 --> 00:05:04,320 Speaker 1: that I know it's not going to do because it 107 00:05:04,320 --> 00:05:06,400 Speaker 1: doesn't have experience, it doesn't know that data like I do. 108 00:05:07,560 --> 00:05:11,400 Speaker 1: But those that's just one example, you know, just brainstorming anything, 109 00:05:11,440 --> 00:05:12,840 Speaker 1: any types of ideas that you. 110 00:05:12,760 --> 00:05:14,479 Speaker 2: Know I was talking about AI on the exone. You know, 111 00:05:14,520 --> 00:05:16,640 Speaker 2: we're looking at putting lending. 112 00:05:16,520 --> 00:05:19,880 Speaker 1: Pages together around that to show people, you know, like 113 00:05:19,920 --> 00:05:22,479 Speaker 1: I said, salary, Well, people can't go and think on 114 00:05:22,480 --> 00:05:24,760 Speaker 1: their own with as well, we'll prevent will present them 115 00:05:24,760 --> 00:05:27,560 Speaker 1: a bunch of salary information bothure recruiters that are using 116 00:05:27,600 --> 00:05:31,359 Speaker 1: our site, are using our recruitment services and for our candidates, 117 00:05:31,839 --> 00:05:33,240 Speaker 1: just to get an idea of kind of what are 118 00:05:33,320 --> 00:05:35,120 Speaker 1: range is looking like for this type of role. What 119 00:05:35,160 --> 00:05:38,680 Speaker 1: does entry level? What is experience? Mid level or senior? Uh, 120 00:05:39,000 --> 00:05:41,160 Speaker 1: you know, we'll generate all of that and create. 121 00:05:40,960 --> 00:05:41,440 Speaker 2: It for them. 122 00:05:41,480 --> 00:05:43,280 Speaker 1: So I was looking at categories, you know, I had 123 00:05:43,279 --> 00:05:44,240 Speaker 1: my idea of what they could be. 124 00:05:44,440 --> 00:05:45,360 Speaker 2: Hey, what are some other ones? 125 00:05:45,400 --> 00:05:48,960 Speaker 1: I may be overlooking right again? As a brainstorming tool, 126 00:05:49,360 --> 00:05:50,279 Speaker 1: it's it's. 127 00:05:50,120 --> 00:05:52,320 Speaker 4: Brilliant, But I don't want to sound like a shameless 128 00:05:52,360 --> 00:05:55,200 Speaker 4: shield for the folks who love our business series at Oracle. 129 00:05:55,240 --> 00:05:57,960 Speaker 4: But as you know, that's what NetSuite does is a 130 00:05:58,080 --> 00:06:02,560 Speaker 4: CFO needs information and making sense of data. And so 131 00:06:02,960 --> 00:06:05,240 Speaker 4: I'm not a person who uses that, but I am 132 00:06:05,279 --> 00:06:08,080 Speaker 4: a person who has people who use that. When I 133 00:06:08,120 --> 00:06:12,600 Speaker 4: ask my CPA at Deroch Partners, hey can you tell 134 00:06:12,640 --> 00:06:15,320 Speaker 4: me what I should be paying this employee for this level? 135 00:06:15,680 --> 00:06:18,800 Speaker 4: They can pull data in a much faster that is 136 00:06:18,880 --> 00:06:21,320 Speaker 4: actual data from real data sets and make some sense 137 00:06:21,360 --> 00:06:23,479 Speaker 4: of it in so many different ways for me to 138 00:06:23,480 --> 00:06:26,240 Speaker 4: make better decisions. And so I think that's what people 139 00:06:26,720 --> 00:06:30,080 Speaker 4: you know, I was originally afraid of AI because you know, 140 00:06:30,160 --> 00:06:32,880 Speaker 4: there's all the robot movies. But it's going to happen 141 00:06:32,920 --> 00:06:34,680 Speaker 4: one way or another, and it's a question of using 142 00:06:34,720 --> 00:06:36,360 Speaker 4: it as a tool. I mean, I don't know how 143 00:06:36,400 --> 00:06:38,320 Speaker 4: old you are. I'm fifty four. When I was a kid, 144 00:06:38,400 --> 00:06:40,640 Speaker 4: we were so afraid of technology because technology was going 145 00:06:40,680 --> 00:06:43,520 Speaker 4: to be awful. But in most cases, technology has made 146 00:06:43,520 --> 00:06:44,279 Speaker 4: my life easier. 147 00:06:44,520 --> 00:06:44,680 Speaker 2: Right. 148 00:06:44,880 --> 00:06:47,120 Speaker 4: We bitch about cell phones, but I can call my 149 00:06:47,200 --> 00:06:49,520 Speaker 4: wife while I'm driving home and say, honey, I'll be 150 00:06:49,560 --> 00:06:51,919 Speaker 4: home in twenty minutes, and she says, oh great, I 151 00:06:51,960 --> 00:06:54,120 Speaker 4: can put the cornbread in, whereas I don't have to 152 00:06:54,160 --> 00:06:54,800 Speaker 4: wait to get there. 153 00:06:54,839 --> 00:06:56,960 Speaker 3: And I mean it's little things, but it matters, right. 154 00:06:57,320 --> 00:06:57,960 Speaker 2: Yeah, of course. 155 00:06:58,160 --> 00:06:59,520 Speaker 1: It's what Bill Gates said right when I was talking 156 00:06:59,520 --> 00:07:02,039 Speaker 1: about the Internet in his early landmark book. You know, 157 00:07:02,080 --> 00:07:03,839 Speaker 1: it's like it's going to wash over the world like 158 00:07:03,880 --> 00:07:07,160 Speaker 1: a wave, and it has all technology does that. Let's 159 00:07:07,160 --> 00:07:09,279 Speaker 1: put the ipund it. Look what social media has done, 160 00:07:09,800 --> 00:07:12,080 Speaker 1: you know, not always sometimes it is to the detriment, 161 00:07:12,200 --> 00:07:16,400 Speaker 1: but in general it makes data accessible and data is. 162 00:07:16,360 --> 00:07:17,320 Speaker 2: The big differentiator. 163 00:07:17,520 --> 00:07:20,640 Speaker 1: You talked about netswe I can tell you just talking 164 00:07:20,640 --> 00:07:22,120 Speaker 1: to the folks that are ranking on others that are 165 00:07:22,200 --> 00:07:26,920 Speaker 1: leveraging AI for you know, field operations for optimization out 166 00:07:26,960 --> 00:07:28,840 Speaker 1: in the field, and wells and drilling and you know 167 00:07:29,040 --> 00:07:30,640 Speaker 1: geophysical where are we going to drill? 168 00:07:30,760 --> 00:07:32,000 Speaker 2: All of these types of things. 169 00:07:32,520 --> 00:07:35,200 Speaker 1: One thing that's really important that data scientists are doing 170 00:07:35,320 --> 00:07:37,600 Speaker 1: is they're not spending as much time on the modeling. 171 00:07:37,960 --> 00:07:40,040 Speaker 1: They're spending more time on the data that's going into 172 00:07:40,040 --> 00:07:43,600 Speaker 1: a terabytes, massive exobites, massive amounts of data that's going 173 00:07:43,640 --> 00:07:45,720 Speaker 1: in cleaning that data to where. 174 00:07:45,560 --> 00:07:46,520 Speaker 2: It's actually usable. 175 00:07:46,640 --> 00:07:48,600 Speaker 1: That's where they're spending a good portion of their time 176 00:07:48,640 --> 00:07:53,080 Speaker 1: and expertise is taking all this data that these tools 177 00:07:53,120 --> 00:07:55,960 Speaker 1: out in the field spin out and putting it in 178 00:07:56,000 --> 00:07:59,040 Speaker 1: a format to where it's actually usable. You know, the 179 00:07:59,120 --> 00:08:02,440 Speaker 1: in tech they have a saying garbage and garbage out right. 180 00:08:02,800 --> 00:08:04,400 Speaker 1: You got to give it the right things. It's the 181 00:08:04,400 --> 00:08:07,200 Speaker 1: same as a question to an AI school a large 182 00:08:07,240 --> 00:08:09,640 Speaker 1: language model. You got to ask it the right questions 183 00:08:09,640 --> 00:08:11,240 Speaker 1: and frame it properly, and then you're going to get 184 00:08:11,240 --> 00:08:13,360 Speaker 1: some pretty interesting things out of it and it'll really 185 00:08:13,400 --> 00:08:13,880 Speaker 1: be useful. 186 00:08:13,960 --> 00:08:16,480 Speaker 3: America is a nation that can be defined in a 187 00:08:16,600 --> 00:08:19,800 Speaker 3: single word. How's the Foottham number. 188 00:08:20,280 --> 00:08:24,120 Speaker 1: Not only was it authentic frontier jibbery, it expressed their 189 00:08:24,280 --> 00:08:24,840 Speaker 1: courage that. 190 00:08:25,040 --> 00:08:28,880 Speaker 3: Scene of the day of the Michael Berry Show. Chat 191 00:08:28,920 --> 00:08:30,040 Speaker 3: Norville is our guest. 192 00:08:30,080 --> 00:08:34,120 Speaker 4: He is the CEO of rigzone dot com, which is 193 00:08:34,200 --> 00:08:39,680 Speaker 4: a marketplace of information, news, insight analysis on energy jobs 194 00:08:39,840 --> 00:08:46,080 Speaker 4: so drilling, refining, downhole, downstream, upstream, midstream investment, and the 195 00:08:46,200 --> 00:08:50,040 Speaker 4: largest job placement for people in the energy industry, which 196 00:08:50,320 --> 00:08:53,440 Speaker 4: is so your website, the rigzone dot com says seven 197 00:08:53,559 --> 00:08:56,640 Speaker 4: hundred and twenty thousand industry professionals can't be wrong. Is 198 00:08:56,640 --> 00:08:58,880 Speaker 4: that how many people accume your site? Or what does 199 00:08:58,920 --> 00:08:59,760 Speaker 4: that number represent? 200 00:09:00,920 --> 00:09:03,280 Speaker 1: Yeah, it's actually small when you consider it from that term. 201 00:09:03,360 --> 00:09:05,880 Speaker 1: Seven hundred thousand plus is how many just receive our 202 00:09:05,920 --> 00:09:08,760 Speaker 1: daily newsletter every day and we have well over one 203 00:09:08,800 --> 00:09:11,320 Speaker 1: hundred and twenty thousand that open it every day. It's 204 00:09:11,360 --> 00:09:13,280 Speaker 1: not the same that are opening it every day. We 205 00:09:13,360 --> 00:09:16,439 Speaker 1: have success seven hundred thousand different industry professionals. 206 00:09:15,920 --> 00:09:18,040 Speaker 2: That get impressions from rig zone every day. 207 00:09:18,160 --> 00:09:20,720 Speaker 1: Outside of that, so across emails, the website, all of 208 00:09:20,720 --> 00:09:24,839 Speaker 1: our social channels and digital marketing mechanisms, it's broad. It's 209 00:09:24,920 --> 00:09:26,880 Speaker 1: vast that you know, we touch a lot of parts 210 00:09:26,880 --> 00:09:29,160 Speaker 1: of the industry of you know, across all of our jobs, 211 00:09:29,240 --> 00:09:30,080 Speaker 1: news events. 212 00:09:31,080 --> 00:09:32,600 Speaker 2: Yeah, it's vast, to say the least. 213 00:09:33,679 --> 00:09:38,880 Speaker 4: It's it's just incredible how little information bleeds out that's 214 00:09:38,920 --> 00:09:42,440 Speaker 4: truthful and useful to the general public. When this is, 215 00:09:42,640 --> 00:09:45,120 Speaker 4: you know, energy, people forget energy. People think of it 216 00:09:45,120 --> 00:09:48,200 Speaker 4: as just jobs or just oil or gasoline. At you, 217 00:09:49,000 --> 00:09:51,120 Speaker 4: energy is at the core of everything we do, not 218 00:09:51,160 --> 00:09:53,920 Speaker 4: just heating and cooling, every product that we use. It's 219 00:09:54,000 --> 00:09:56,760 Speaker 4: just incredible. By the way, I don't know what the 220 00:09:56,760 --> 00:09:59,720 Speaker 4: stock market's done today. I haven't checked, but energy is 221 00:09:59,760 --> 00:10:03,600 Speaker 4: at the heart of your stock portfolio, which when you retire, 222 00:10:03,640 --> 00:10:06,240 Speaker 4: your four oh one K is going The bedrock of 223 00:10:06,320 --> 00:10:09,600 Speaker 4: most four oh one K plans today is those safe 224 00:10:09,760 --> 00:10:12,600 Speaker 4: blue chip energy stocks. And every you know, the greeny 225 00:10:12,640 --> 00:10:15,480 Speaker 4: ones want to attack them. You better hope those companies 226 00:10:15,480 --> 00:10:18,720 Speaker 4: that are called evil and their profits continue to be profitable, 227 00:10:18,720 --> 00:10:21,439 Speaker 4: because that's what's holding up your stock price for school 228 00:10:21,440 --> 00:10:25,000 Speaker 4: teachers and plumbers and everybody else. And that is easy 229 00:10:25,040 --> 00:10:27,400 Speaker 4: to forget. Chad, I wanted you to finish that sentence. 230 00:10:27,400 --> 00:10:28,920 Speaker 4: If you remember what you were saying before, I feel 231 00:10:28,920 --> 00:10:30,640 Speaker 4: abustered you. And then I want to ask for your 232 00:10:30,640 --> 00:10:32,960 Speaker 4: advice for people in the industry. Do you remember what 233 00:10:32,960 --> 00:10:34,640 Speaker 4: you were saying or did I did I throw you off? 234 00:10:35,640 --> 00:10:36,240 Speaker 2: I can't. 235 00:10:36,320 --> 00:10:38,200 Speaker 3: Okay, well, then let me ask you this. You were 236 00:10:38,200 --> 00:10:41,160 Speaker 3: talking about, who's hiring. Let's start with entry level. 237 00:10:41,240 --> 00:10:43,280 Speaker 4: Let's say I get a lot of emails from people 238 00:10:43,320 --> 00:10:45,880 Speaker 4: who've just gotten out of the military, and they say, 239 00:10:46,360 --> 00:10:48,920 Speaker 4: what should I do? Where should I go? Who's hiring? 240 00:10:49,400 --> 00:10:51,439 Speaker 4: They want a career, not just a job, right, so 241 00:10:51,520 --> 00:10:53,439 Speaker 4: they don't want to go do fast food. They want 242 00:10:53,480 --> 00:10:55,760 Speaker 4: to start in a career. And I tell people find 243 00:10:55,800 --> 00:10:58,320 Speaker 4: a job in energy because the upsides are crazy. 244 00:10:58,440 --> 00:11:00,000 Speaker 3: What do you say to that guy he just got 245 00:11:00,000 --> 00:11:00,640 Speaker 3: out of the Marines. 246 00:11:02,000 --> 00:11:05,560 Speaker 1: Yeah, So, first and foremost, the very explicit oiling gas 247 00:11:05,640 --> 00:11:09,800 Speaker 1: roles and training and education, it's going to be there 248 00:11:09,840 --> 00:11:12,280 Speaker 1: for a long time as long as someone at that point. 249 00:11:12,000 --> 00:11:13,640 Speaker 2: Would be able to fulfill a career with it. 250 00:11:13,720 --> 00:11:17,400 Speaker 1: So, whether that's patrol engineering or mechanical engineering focus on 251 00:11:17,440 --> 00:11:21,679 Speaker 1: the oil and gas geology, chemical engineering, and elexico engineering 252 00:11:21,679 --> 00:11:25,080 Speaker 1: focusing on oiling gas, those things are going to be there. 253 00:11:24,920 --> 00:11:25,960 Speaker 2: For the foreseeable future. 254 00:11:26,000 --> 00:11:28,840 Speaker 1: I mean for the next twenty fifty I would guess 255 00:11:28,880 --> 00:11:30,880 Speaker 1: at least, you know, like I said, emerging markets are 256 00:11:30,880 --> 00:11:34,080 Speaker 1: coming online, we're not going to see a significant change 257 00:11:34,080 --> 00:11:35,959 Speaker 1: and at least the demand side of oiling gas for 258 00:11:36,000 --> 00:11:38,880 Speaker 1: a good while. So I think they could still fulfill 259 00:11:38,920 --> 00:11:39,520 Speaker 1: a strong career. 260 00:11:39,559 --> 00:11:40,160 Speaker 2: And here's the thing. 261 00:11:40,480 --> 00:11:42,559 Speaker 1: Some people might be reticent to go get a patrol 262 00:11:42,600 --> 00:11:44,400 Speaker 1: engineer degree, so there's gonna be less competition. 263 00:11:44,600 --> 00:11:45,920 Speaker 2: There's a lot of people with a lot of experience. 264 00:11:45,960 --> 00:11:47,760 Speaker 1: They're going to be retiring, right the boomers and all 265 00:11:47,760 --> 00:11:49,959 Speaker 1: of them have already started to. But there's going to 266 00:11:50,000 --> 00:11:53,280 Speaker 1: be openings and opportunities there for those folks. You know, 267 00:11:53,400 --> 00:11:57,120 Speaker 1: there's a lot of opportunities still in those fields. So 268 00:11:57,320 --> 00:12:00,280 Speaker 1: I would tell them you probably have more opportunity because 269 00:12:00,280 --> 00:12:02,240 Speaker 1: they just can be more demand for you because. 270 00:12:02,000 --> 00:12:02,680 Speaker 2: It'll be fear of you. 271 00:12:03,400 --> 00:12:05,960 Speaker 1: Aside from that, if you are concerned and you're wanting 272 00:12:06,000 --> 00:12:07,120 Speaker 1: something more transferable. 273 00:12:07,880 --> 00:12:10,000 Speaker 2: We talked earlier about the tech roles. Uh. 274 00:12:10,280 --> 00:12:13,760 Speaker 1: You know, electrical and instrumentation are massive and you don't 275 00:12:13,760 --> 00:12:15,960 Speaker 1: have to get a full BATCHURST degree to do that. 276 00:12:16,080 --> 00:12:20,240 Speaker 1: You could get an associates or certification. So for electrical, uh, 277 00:12:20,360 --> 00:12:25,320 Speaker 1: there's electrical engineering technology, power distribution technicians are in massive demand, 278 00:12:25,520 --> 00:12:27,000 Speaker 1: huge old services companies. 279 00:12:27,000 --> 00:12:29,559 Speaker 2: I know right now, are you jumping. 280 00:12:29,280 --> 00:12:32,800 Speaker 1: At the bits to get power distribution folks? Power plant technology, 281 00:12:32,880 --> 00:12:36,120 Speaker 1: energy systems, Uh, industrial maintenance technology, so you can be. 282 00:12:36,080 --> 00:12:36,800 Speaker 2: A maintenance tech. 283 00:12:36,840 --> 00:12:39,440 Speaker 1: They're massive demand and they're transferable skills. 284 00:12:39,880 --> 00:12:42,160 Speaker 2: Uh. Those are Socialist agree certifications. 285 00:12:42,200 --> 00:12:47,880 Speaker 1: There's a certify, there's a power systems tech, electrical power 286 00:12:47,920 --> 00:12:52,679 Speaker 1: distributions certifications. I know those are out there, Uh, industrial electricians. 287 00:12:52,679 --> 00:12:54,320 Speaker 2: We could do any of those things, right. 288 00:12:54,559 --> 00:12:56,439 Speaker 1: That could be as little as three or six months 289 00:12:56,520 --> 00:12:58,480 Speaker 1: on those certifications and you could get a job. There 290 00:12:58,480 --> 00:13:00,600 Speaker 1: are those roles out there for those folks, and they'd 291 00:13:00,720 --> 00:13:03,960 Speaker 1: love to train you up. And like I said, it's transferable. 292 00:13:04,000 --> 00:13:05,560 Speaker 1: You could do a lot of different things. A lot 293 00:13:05,559 --> 00:13:08,480 Speaker 1: of industries you know, require those skills on the instrumentation 294 00:13:08,559 --> 00:13:11,840 Speaker 1: and you know you talked earlier about valves automatically changing again, 295 00:13:11,880 --> 00:13:16,760 Speaker 1: what that's PLC programming right, it's uh the programma programmable 296 00:13:16,840 --> 00:13:20,920 Speaker 1: logic controllers. Right, These automation and control technologies, same thing. 297 00:13:20,960 --> 00:13:23,920 Speaker 1: You can get an SSI's degree and instrumentation or controls automation. 298 00:13:24,640 --> 00:13:27,440 Speaker 1: Their robotics technology which is cool that goes into a ROV. 299 00:13:27,520 --> 00:13:29,880 Speaker 1: We have huge companies we work with that just focus 300 00:13:29,920 --> 00:13:32,960 Speaker 1: on that. Oceaneering is huge in that space. There's a 301 00:13:32,960 --> 00:13:35,440 Speaker 1: few other companies we work with they do as well. Obviously, 302 00:13:35,520 --> 00:13:37,400 Speaker 1: electrical engineering you don't have to have a double E. 303 00:13:37,679 --> 00:13:39,520 Speaker 2: It's a fantastic degree. I would encourage you to get 304 00:13:39,520 --> 00:13:40,720 Speaker 2: it if you have the time and the means. 305 00:13:41,000 --> 00:13:44,840 Speaker 1: But you can get an electrical engineering technology associates and 306 00:13:44,880 --> 00:13:47,360 Speaker 1: those remainman's placing here too, and instrument places and automate 307 00:13:47,440 --> 00:13:50,760 Speaker 1: automation roles. So, uh, those are associates degree spent two years. 308 00:13:50,760 --> 00:13:53,040 Speaker 1: These are uh, you know your grant from the military 309 00:13:53,040 --> 00:13:55,320 Speaker 1: and go do that. You need to work and you 310 00:13:55,320 --> 00:13:57,760 Speaker 1: want to do something shorter term. The certifications and automation 311 00:13:57,880 --> 00:14:03,960 Speaker 1: and instrumentation too, there's systems tech certifications, there's automation professionals. Uh, 312 00:14:04,320 --> 00:14:08,200 Speaker 1: you can get a PLC Programming certification. Those exist for 313 00:14:08,280 --> 00:14:10,840 Speaker 1: someone coming in. Those are really highly transferable skills and 314 00:14:10,920 --> 00:14:13,559 Speaker 1: things that aren't massively time consuming. 315 00:14:13,559 --> 00:14:15,720 Speaker 2: To go get a certification or associate's degree on the 316 00:14:15,720 --> 00:14:17,920 Speaker 2: government that you've earned and you know, we appreciate you 317 00:14:17,960 --> 00:14:19,240 Speaker 2: and please take advantage of it. 318 00:14:20,160 --> 00:14:22,080 Speaker 1: I would say that for that person from the military 319 00:14:22,080 --> 00:14:24,000 Speaker 1: looking into it, those are you know, good skills that 320 00:14:24,040 --> 00:14:25,520 Speaker 1: are going to be there no matter what happens at 321 00:14:25,640 --> 00:14:27,800 Speaker 1: set your mind at ease. If you were concerned about 322 00:14:27,800 --> 00:14:32,160 Speaker 1: the industry, which I'm not. You mentioned certifications earlier, if 323 00:14:32,160 --> 00:14:34,600 Speaker 1: you have worked in the old pats at all, or 324 00:14:34,680 --> 00:14:37,800 Speaker 1: you have some kind of experience around certain things. API 325 00:14:37,920 --> 00:14:40,680 Speaker 1: American Patrolment Institute, which is a massive. 326 00:14:40,400 --> 00:14:41,160 Speaker 2: Partner of ours. 327 00:14:41,560 --> 00:14:46,680 Speaker 1: Uh, they have really great certification programs. So they do 328 00:14:46,720 --> 00:14:51,240 Speaker 1: a lot of inspection, different certifications, so piping, pressure vessels, 329 00:14:51,760 --> 00:14:56,320 Speaker 1: tank inspectors, you know, HSS related things and inspections always 330 00:14:56,360 --> 00:14:57,840 Speaker 1: going to be really. 331 00:14:57,880 --> 00:14:59,560 Speaker 2: Highly needed and sought after. 332 00:14:59,680 --> 00:15:02,880 Speaker 1: So those are really good certifications to get Q. 333 00:15:02,840 --> 00:15:03,480 Speaker 2: One and Q two. 334 00:15:03,600 --> 00:15:07,600 Speaker 1: This is more of a senior professional type of role, 335 00:15:07,680 --> 00:15:10,280 Speaker 1: but those are great certifications at API as well. It's 336 00:15:10,880 --> 00:15:13,800 Speaker 1: you know, designing implementing quality management systems. It's kind of 337 00:15:13,840 --> 00:15:14,800 Speaker 1: in line with the ISO. 338 00:15:15,480 --> 00:15:17,880 Speaker 3: And so do you go to API to get that certification? 339 00:15:19,000 --> 00:15:19,240 Speaker 2: Yes? 340 00:15:19,360 --> 00:15:21,560 Speaker 1: Yeah, you reach out to them and they have folks 341 00:15:21,560 --> 00:15:23,320 Speaker 1: on staff and be more than happy to talk to 342 00:15:23,360 --> 00:15:26,160 Speaker 1: you about what your experience has been and you know 343 00:15:26,200 --> 00:15:28,280 Speaker 1: what might fit starting from SCRATS. I don't know that 344 00:15:28,280 --> 00:15:30,880 Speaker 1: those would necessarily be useful you'd probably be more. Those 345 00:15:30,880 --> 00:15:33,120 Speaker 1: are folks probably that have been around it or have 346 00:15:33,160 --> 00:15:34,000 Speaker 1: a little more experience. 347 00:15:34,000 --> 00:15:34,960 Speaker 2: But again you could talk to them. 348 00:15:35,000 --> 00:15:37,360 Speaker 1: I don't know from the ground up, but you know, 349 00:15:37,360 --> 00:15:40,240 Speaker 1: they all have available, like I said, the other associates 350 00:15:40,240 --> 00:15:42,080 Speaker 1: and certifications or things I know a bit more. 351 00:15:42,000 --> 00:15:43,720 Speaker 2: About where I think they could get right in without 352 00:15:43,760 --> 00:15:45,800 Speaker 2: any experience in any of those technologies. 353 00:15:46,200 --> 00:15:50,800 Speaker 4: Chad Norville is the CEO of rigzone dot com and 354 00:15:50,920 --> 00:15:55,840 Speaker 4: they have job postings there in the energy industry. I 355 00:15:55,880 --> 00:15:58,360 Speaker 4: get a lot of emails from you folks out there 356 00:15:58,920 --> 00:16:01,200 Speaker 4: looking for a job that have just come out of 357 00:16:01,200 --> 00:16:02,960 Speaker 4: the military, and this is where I'll send you more 358 00:16:02,960 --> 00:16:20,720 Speaker 4: with Chad Noorville of rigszone dot com coming up as 359 00:16:20,760 --> 00:16:25,720 Speaker 4: part of our continuing series of Insights from business Leaders. 360 00:16:26,960 --> 00:16:31,160 Speaker 3: Actually they call it ramon do you know what oracle? 361 00:16:31,240 --> 00:16:35,840 Speaker 4: They call it success from scratch and they heard what 362 00:16:35,880 --> 00:16:39,120 Speaker 4: we're doing with business leaders. We had Russell Leaborrow last 363 00:16:39,160 --> 00:16:42,000 Speaker 4: week and they loved it, and so they said, we 364 00:16:42,040 --> 00:16:45,160 Speaker 4: would love to just sponsor your show and tie in 365 00:16:45,600 --> 00:16:48,400 Speaker 4: because of what we do. Over forty one thousand businesses 366 00:16:48,400 --> 00:16:51,640 Speaker 4: of upgraded to netsuitet bio Oracle. They use their AI 367 00:16:51,840 --> 00:16:55,360 Speaker 4: and machine learning to make better decisions, especially CFOs, which 368 00:16:55,400 --> 00:16:58,440 Speaker 4: is why netsweet dot com forward slash berries where you 369 00:16:58,480 --> 00:17:01,480 Speaker 4: can find that netsuitet dot com forward slash berry, especially 370 00:17:01,480 --> 00:17:07,160 Speaker 4: if you're a CFO looking for more help assessing, understanding, 371 00:17:07,400 --> 00:17:11,479 Speaker 4: making sense of all the data you have. Let me 372 00:17:11,520 --> 00:17:15,800 Speaker 4: ask you an operational question. Do you say Norville or 373 00:17:15,800 --> 00:17:16,800 Speaker 4: do you say Norville? 374 00:17:18,359 --> 00:17:21,760 Speaker 1: Everyone says Norville. My grandfather told me it was Norville. 375 00:17:21,960 --> 00:17:23,000 Speaker 1: I'll respond to either. 376 00:17:23,200 --> 00:17:23,960 Speaker 3: Where are you from? 377 00:17:25,400 --> 00:17:26,040 Speaker 2: I'm producer? 378 00:17:26,440 --> 00:17:27,760 Speaker 3: Where'd you go? Where'd you grow up? 379 00:17:29,480 --> 00:17:30,000 Speaker 2: Deer Park? 380 00:17:30,720 --> 00:17:31,800 Speaker 3: Where'd you go to high school? 381 00:17:32,920 --> 00:17:33,800 Speaker 2: Good Park? High School? 382 00:17:33,800 --> 00:17:35,800 Speaker 3: Did you know Andy Pettitt? 383 00:17:37,119 --> 00:17:39,119 Speaker 1: No, I've been around him. He was a little before me. 384 00:17:40,040 --> 00:17:44,240 Speaker 1: I'm mid forties, so he was a little older. But yeah, 385 00:17:44,320 --> 00:17:46,879 Speaker 1: so I'm a church you know, my cousin's, my in 386 00:17:46,960 --> 00:17:50,120 Speaker 1: laws go to his church, and so you know, I'd 387 00:17:50,119 --> 00:17:53,359 Speaker 1: see all around a lot. But you know, we weren't friends, 388 00:17:53,520 --> 00:17:54,240 Speaker 1: friends or anything. 389 00:17:54,240 --> 00:17:54,760 Speaker 2: In that nata. 390 00:17:55,080 --> 00:17:59,520 Speaker 4: Did you ever find yourself stopping and marveling at how 391 00:17:59,640 --> 00:18:02,520 Speaker 4: high he kicked his right leg when he would throw 392 00:18:02,560 --> 00:18:04,560 Speaker 4: those big looping curveballs. 393 00:18:06,280 --> 00:18:09,840 Speaker 2: Oh yeah, amazing? Right, So you know who else did that? Ramon? 394 00:18:10,359 --> 00:18:12,360 Speaker 3: You might know are you a baseball. 395 00:18:11,920 --> 00:18:16,960 Speaker 2: Fan, Chad, Oh, of course he's finn so uh. 396 00:18:17,000 --> 00:18:21,399 Speaker 4: There was a picture for the Oakland A's named Barry 397 00:18:21,520 --> 00:18:24,520 Speaker 4: he had he was a lefty. He also what Zeno 398 00:18:24,680 --> 00:18:27,480 Speaker 4: berry Zito he also had that You never see right 399 00:18:27,480 --> 00:18:31,119 Speaker 4: handed pitchers do this. They have that pitch that feels like, 400 00:18:31,320 --> 00:18:33,520 Speaker 4: I mean, it looks to me when you see the 401 00:18:33,560 --> 00:18:36,120 Speaker 4: ball coming in, it looks like the ball came from 402 00:18:36,160 --> 00:18:38,879 Speaker 4: behind their head, like in the in the ball of 403 00:18:38,920 --> 00:18:43,320 Speaker 4: your neck. And it's just just big, looping, off speed 404 00:18:43,400 --> 00:18:49,040 Speaker 4: pitch that gives batters fits. And Pettit had it, and 405 00:18:49,080 --> 00:18:51,720 Speaker 4: Barry Zito had it. And by the way, for anybody 406 00:18:51,760 --> 00:18:55,439 Speaker 4: out there listening, I have a number of mutual friends 407 00:18:55,440 --> 00:18:58,600 Speaker 4: with Andy Pettitt who have politely explained to him that 408 00:18:58,680 --> 00:19:01,199 Speaker 4: I would like to be his best in and it 409 00:19:01,240 --> 00:19:04,520 Speaker 4: hasn't worked out yet, and so I don't know how 410 00:19:04,560 --> 00:19:06,480 Speaker 4: to do that without it being weird. 411 00:19:07,119 --> 00:19:08,760 Speaker 3: Just hold on, Chad, this is very important. 412 00:19:09,359 --> 00:19:11,120 Speaker 4: But since you're from Deer Park, I need to get 413 00:19:11,200 --> 00:19:14,320 Speaker 4: somebody out there is going to be close friends with Andy, 414 00:19:14,400 --> 00:19:17,359 Speaker 4: and it's going to say, oh, I'll put y'all together, 415 00:19:17,520 --> 00:19:19,919 Speaker 4: and then it's just going to happen. And he can 416 00:19:20,000 --> 00:19:22,560 Speaker 4: work on my pitching mechanics. Did you play baseball? 417 00:19:24,240 --> 00:19:24,640 Speaker 2: I did. 418 00:19:25,800 --> 00:19:28,320 Speaker 3: Did you play soccer in high school if you went 419 00:19:28,320 --> 00:19:29,119 Speaker 3: on to play college? 420 00:19:30,240 --> 00:19:32,439 Speaker 1: Well, yeah, of course, but like everyone, you play all 421 00:19:32,440 --> 00:19:34,320 Speaker 1: the sports and you kind of end up sticking with 422 00:19:34,359 --> 00:19:36,399 Speaker 1: what you're best at. So I was pretty fast and 423 00:19:36,440 --> 00:19:39,480 Speaker 1: pretty good at soccer, so the rest went away. 424 00:19:39,760 --> 00:19:42,320 Speaker 3: You know, what was your height in high school? What 425 00:19:42,320 --> 00:19:43,320 Speaker 3: did you graduate at? 426 00:19:44,760 --> 00:19:47,399 Speaker 1: I was just sort of six foot and probably won 427 00:19:47,560 --> 00:19:48,680 Speaker 1: seventy five. 428 00:19:49,760 --> 00:19:51,800 Speaker 4: Ramon says, if you say just under six foot, you 429 00:19:51,800 --> 00:19:54,440 Speaker 4: were actually five ten. You don't know him enough to 430 00:19:54,440 --> 00:19:54,800 Speaker 4: say that. 431 00:19:57,800 --> 00:19:59,920 Speaker 1: I'll be at least five eleven, okay, guaranteed. 432 00:20:00,160 --> 00:20:01,800 Speaker 3: What was your forty time? Would you guess? 433 00:20:04,520 --> 00:20:06,600 Speaker 1: I think at my peak I probably touched four five 434 00:20:06,880 --> 00:20:10,000 Speaker 1: in the four fives for six four seven was easy? 435 00:20:10,480 --> 00:20:13,960 Speaker 4: Hold on, you think you ran a forty in high 436 00:20:14,040 --> 00:20:15,880 Speaker 4: school at four or five? 437 00:20:17,560 --> 00:20:19,760 Speaker 1: Well, no, probably right after high school when I went 438 00:20:19,760 --> 00:20:20,240 Speaker 1: to college. 439 00:20:21,119 --> 00:20:25,320 Speaker 3: That's humming for a white boy. That's fast. 440 00:20:26,760 --> 00:20:30,840 Speaker 1: I mean, okay, I think I probably hit a high 441 00:20:30,880 --> 00:20:33,199 Speaker 1: four or five at some point. I never did, but 442 00:20:33,480 --> 00:20:35,920 Speaker 1: I'm assuming I probably could have at some point at 443 00:20:35,920 --> 00:20:38,960 Speaker 1: my peak of fitness level. I'm projecting. 444 00:20:39,280 --> 00:20:42,439 Speaker 2: I'll admit, don't have fref of that. I know. 445 00:20:42,840 --> 00:20:45,840 Speaker 4: If you know, look, if you were fast, you know 446 00:20:45,920 --> 00:20:48,400 Speaker 4: you were fast. I mean, I don't think a guy's 447 00:20:48,440 --> 00:20:51,239 Speaker 4: going to say there were four or five. If you 448 00:20:51,240 --> 00:20:54,720 Speaker 4: know they played a line, you know for Nebraska, that 449 00:20:54,840 --> 00:20:55,719 Speaker 4: means you were fast. 450 00:20:56,359 --> 00:20:57,200 Speaker 3: I'm not doubting it. 451 00:20:57,320 --> 00:21:01,800 Speaker 4: I'm saying I'm putting a mark on this moment so 452 00:21:01,840 --> 00:21:04,600 Speaker 4: that I think about it later that that I'm putting 453 00:21:04,600 --> 00:21:05,280 Speaker 4: a ribbon on it. 454 00:21:05,320 --> 00:21:06,919 Speaker 3: That's a big deal. Okay. 455 00:21:06,920 --> 00:21:10,399 Speaker 4: So then you go off to Iowa to in Sioux 456 00:21:10,400 --> 00:21:12,879 Speaker 4: City at the little school you wouldn't hardly give me 457 00:21:12,920 --> 00:21:15,000 Speaker 4: the name of. And then where did you go from there? 458 00:21:17,000 --> 00:21:17,240 Speaker 2: Yeah? 459 00:21:17,280 --> 00:21:20,040 Speaker 1: So it had some Japanese affiliation in the nineties they 460 00:21:20,080 --> 00:21:22,840 Speaker 1: had a great depression basically, so started pulling out money 461 00:21:22,880 --> 00:21:26,000 Speaker 1: and had accreditation issues. You know, I was making pretty good, 462 00:21:26,040 --> 00:21:27,520 Speaker 1: good grades. I didn't want to stick around for that, 463 00:21:27,600 --> 00:21:30,680 Speaker 1: so I transferred that U of AH got into programming. 464 00:21:30,720 --> 00:21:33,080 Speaker 1: Like I said, I was doing a joint program on 465 00:21:33,920 --> 00:21:37,520 Speaker 1: chemical plant operations. So I fum one credit shy of 466 00:21:37,600 --> 00:21:39,440 Speaker 1: having an associate scree and that I was going to 467 00:21:39,520 --> 00:21:41,920 Speaker 1: program SCATA and do that for the plants it was 468 00:21:42,000 --> 00:21:43,840 Speaker 1: kind of thinking at the time, but then I started 469 00:21:44,200 --> 00:21:47,200 Speaker 1: really liking the computer programming, and uh so I kind 470 00:21:47,200 --> 00:21:50,560 Speaker 1: of let that go and ended up finishing my bechelor 471 00:21:50,600 --> 00:21:53,040 Speaker 1: science degree and information systems, and then I got an MBA. 472 00:21:53,480 --> 00:21:54,600 Speaker 3: Where did you get your MBA? 473 00:21:54,800 --> 00:21:56,639 Speaker 2: T H Phila? 474 00:21:57,000 --> 00:21:58,640 Speaker 3: And then were you working at the time? 475 00:22:00,040 --> 00:22:00,359 Speaker 2: I was. 476 00:22:00,520 --> 00:22:02,040 Speaker 1: I was going to score at night for AT and T, 477 00:22:02,440 --> 00:22:06,480 Speaker 1: which was an amazing experience because the space program was 478 00:22:06,600 --> 00:22:08,760 Speaker 1: the Shuttle program was still going in full force. Of 479 00:22:08,800 --> 00:22:12,720 Speaker 1: my mentors were double PhDs, you know, directors of the 480 00:22:12,800 --> 00:22:15,720 Speaker 1: International Space Station before it was called Space Station Freedom. 481 00:22:16,320 --> 00:22:19,760 Speaker 1: That was one of my mentors. So it was really interesting. 482 00:22:19,960 --> 00:22:22,200 Speaker 1: I got to do that and talk to those folks. 483 00:22:22,400 --> 00:22:24,920 Speaker 1: And then I got to you know, at AT and T 484 00:22:25,280 --> 00:22:27,600 Speaker 1: developed some code and programs that kind of got some 485 00:22:27,640 --> 00:22:32,120 Speaker 1: attention and ended up meeting some of the C suite 486 00:22:32,160 --> 00:22:33,520 Speaker 1: folks who kind of took. 487 00:22:33,440 --> 00:22:36,320 Speaker 2: Me under their wing. And Karen Jennings, who was Times 488 00:22:36,440 --> 00:22:38,160 Speaker 2: twenty five most influential women. 489 00:22:38,800 --> 00:22:41,120 Speaker 1: Helped me out a bit, and you know, just took 490 00:22:41,160 --> 00:22:43,000 Speaker 1: advantage of different opportunities when they rose. 491 00:22:43,080 --> 00:22:46,239 Speaker 2: That's the whole thing, right, It's about you know, it's 492 00:22:46,280 --> 00:22:48,360 Speaker 2: about playing ball. Whenever the course of time. 493 00:22:48,440 --> 00:22:55,680 Speaker 3: Of course, what did your dad do construction? So your 494 00:22:55,760 --> 00:22:57,439 Speaker 3: interest in computer programming? 495 00:22:57,680 --> 00:23:02,880 Speaker 4: And I asked this because I had no interest in 496 00:23:02,920 --> 00:23:06,240 Speaker 4: computers or certainly not making it figuring out how one worked. 497 00:23:06,800 --> 00:23:09,359 Speaker 4: What do you think sparked the interesting computer program because 498 00:23:09,400 --> 00:23:11,320 Speaker 4: I my nephew does it, and I think it's a 499 00:23:11,359 --> 00:23:15,360 Speaker 4: great field. By the way, Oh, by the way, chat, 500 00:23:15,400 --> 00:23:17,480 Speaker 4: I don't know if you're hiring or not, but my 501 00:23:17,560 --> 00:23:20,800 Speaker 4: nephew needs a job. He just graduated from Lamar with 502 00:23:20,960 --> 00:23:24,080 Speaker 4: like a three eight. It's my brother, my late brother's son, 503 00:23:25,200 --> 00:23:28,200 Speaker 4: and he's starting to work on his NBA. And if 504 00:23:28,200 --> 00:23:29,879 Speaker 4: you were to hire him as part of this interview, 505 00:23:29,960 --> 00:23:32,640 Speaker 4: that'd be great. When it ramoned, Ramon said, that'd be great. 506 00:23:33,080 --> 00:23:34,840 Speaker 4: I'm just kidding you, but I am looking for him 507 00:23:34,840 --> 00:23:35,120 Speaker 4: at job. 508 00:23:35,240 --> 00:23:36,320 Speaker 2: Pressure Yeah, yeah, no. 509 00:23:36,280 --> 00:23:38,040 Speaker 4: Pressure at all. You don't have to make the decision 510 00:23:38,119 --> 00:23:41,760 Speaker 4: right now. I'll send you the his resume during the break. 511 00:23:42,000 --> 00:23:43,760 Speaker 4: But here's what's weird. And I tell him his name 512 00:23:43,800 --> 00:23:46,480 Speaker 4: is Braiden. Braiden, what made you want to be a 513 00:23:46,520 --> 00:23:51,160 Speaker 4: computer programmer? Our family is cops and oil fill workers 514 00:23:51,560 --> 00:23:54,360 Speaker 4: and one guy who talks on the radio. You literally 515 00:23:54,400 --> 00:23:57,360 Speaker 4: have nobody in our family who can do anything more 516 00:23:57,400 --> 00:23:59,879 Speaker 4: than turn a computer on, and that's a big deal. 517 00:24:00,680 --> 00:24:03,960 Speaker 4: Like why it's just so odd to me that people 518 00:24:04,080 --> 00:24:06,840 Speaker 4: have that interest. I guess just because it doesn't come 519 00:24:06,960 --> 00:24:11,440 Speaker 4: naturally to me. Maybe that's the reason we're talking to 520 00:24:11,520 --> 00:24:15,399 Speaker 4: Chad Norville or Norville of rigzone dot com and we 521 00:24:15,440 --> 00:24:17,240 Speaker 4: will continue our conversation with him coming. 522 00:24:17,160 --> 00:24:19,000 Speaker 2: Up street. 523 00:24:21,040 --> 00:24:24,359 Speaker 3: Michael Bay Good Show on Baklump. 524 00:24:26,680 --> 00:24:32,119 Speaker 5: Rigzone dot com is the site of where the energy 525 00:24:32,320 --> 00:24:35,640 Speaker 5: industry goes to find jobs, to post jobs, to get 526 00:24:35,640 --> 00:24:38,919 Speaker 5: inside information, to talk about what oil prices are, what 527 00:24:38,960 --> 00:24:40,480 Speaker 5: futures are. 528 00:24:40,400 --> 00:24:44,480 Speaker 4: Doing, who's buying, who's selling, what the trends are. Rigzone 529 00:24:44,560 --> 00:24:47,920 Speaker 4: dot com. They are not a sponsor ramon industry of question, 530 00:24:48,119 --> 00:24:50,520 Speaker 4: but they one day will be because it's a perfect partnership. 531 00:24:50,520 --> 00:24:52,040 Speaker 4: But that's not why he's our guest. He's our guest 532 00:24:52,119 --> 00:24:53,840 Speaker 4: because I've been wanting to talk energy for a while. 533 00:24:54,119 --> 00:24:57,880 Speaker 4: So for folks that are simply saying, hey, I don't 534 00:24:57,880 --> 00:24:59,639 Speaker 4: have any special skills, I'll go back to my my 535 00:24:59,680 --> 00:25:01,360 Speaker 4: marine that just got out. Because this comes up a lot. 536 00:25:01,920 --> 00:25:03,760 Speaker 4: Is there a company I get I might get you 537 00:25:03,800 --> 00:25:05,040 Speaker 4: in trouble if you pick one. 538 00:25:05,240 --> 00:25:05,679 Speaker 3: But is there a. 539 00:25:05,720 --> 00:25:07,840 Speaker 4: Company that you are I mean, can they go to 540 00:25:07,920 --> 00:25:09,760 Speaker 4: rigzone and put their information on there and they're gonna 541 00:25:09,760 --> 00:25:11,920 Speaker 4: because nobody wants to do monster or any of that anymore. 542 00:25:12,320 --> 00:25:14,359 Speaker 4: Somebody wants to get hired right now. They're willing to 543 00:25:14,359 --> 00:25:16,560 Speaker 4: work hard, and they're willing to travel as far as Midland, 544 00:25:16,560 --> 00:25:18,679 Speaker 4: not further. Well, they'll go Midland to the west and 545 00:25:18,760 --> 00:25:21,040 Speaker 4: Homa to the east. Are they going to Is there 546 00:25:21,040 --> 00:25:22,240 Speaker 4: a job waiting for them right now? 547 00:25:22,760 --> 00:25:24,439 Speaker 2: Yeah? Potentially, I think. You know. 548 00:25:24,560 --> 00:25:28,200 Speaker 1: Unfortunately, everything is technology based now, so it's kind of 549 00:25:28,280 --> 00:25:31,040 Speaker 1: you know, pay entry paid entry, right. You have to 550 00:25:31,080 --> 00:25:32,920 Speaker 1: have a CEV or resume of some sorts and you need. 551 00:25:32,840 --> 00:25:34,399 Speaker 2: To upload it for our website. 552 00:25:34,400 --> 00:25:37,320 Speaker 1: You upload it to rigzone, activate your your account, your 553 00:25:37,359 --> 00:25:40,280 Speaker 1: cv uh, do some searching, do some applying. You know, 554 00:25:40,320 --> 00:25:42,600 Speaker 1: we have AI mechanisms in there that will do what 555 00:25:42,680 --> 00:25:44,280 Speaker 1: it can to help you. It will look at what 556 00:25:44,320 --> 00:25:46,679 Speaker 1: your qualifications are, it will look at what John tuiteles 557 00:25:46,720 --> 00:25:48,880 Speaker 1: you've had previously, or what your experiences are. It will 558 00:25:48,960 --> 00:25:50,399 Speaker 1: keep an eye out on those. As long as you 559 00:25:50,440 --> 00:25:53,720 Speaker 1: have for instance, emails activated, it will look at those things. 560 00:25:53,720 --> 00:25:55,760 Speaker 1: And now it's lots become available that you qualified for, 561 00:25:55,840 --> 00:25:58,119 Speaker 1: it will send you those henks tiered, so it's going 562 00:25:58,200 --> 00:26:00,879 Speaker 1: to give you the most optimal job for experiences and 563 00:26:01,280 --> 00:26:01,800 Speaker 1: what you're. 564 00:26:01,640 --> 00:26:03,600 Speaker 2: Looking for right then. 565 00:26:03,920 --> 00:26:05,720 Speaker 1: And then it'll tear down and say, okay, let's step 566 00:26:05,760 --> 00:26:07,440 Speaker 1: out a little more broadly and see if there's anything 567 00:26:07,480 --> 00:26:09,480 Speaker 1: in the space maybe that you know might work for you. 568 00:26:09,720 --> 00:26:12,320 Speaker 1: And then it'll go even more general. So not everything 569 00:26:12,400 --> 00:26:14,680 Speaker 1: is going to be on the nose, but it's looking 570 00:26:14,720 --> 00:26:16,600 Speaker 1: all the time. So dismiss the ones in an art 571 00:26:16,640 --> 00:26:18,880 Speaker 1: that you don't think work. Keep an eye out because 572 00:26:18,880 --> 00:26:21,199 Speaker 1: when the ones do, when the market does start picking up, 573 00:26:21,200 --> 00:26:23,000 Speaker 1: and like I said earlier, we are a lot of 574 00:26:23,000 --> 00:26:25,719 Speaker 1: folks are expecting that to start happening. As you know, 575 00:26:25,760 --> 00:26:29,800 Speaker 1: all of these unleased American energy policies start really taking hold. 576 00:26:29,840 --> 00:26:31,280 Speaker 1: In one of those you know I talked about some 577 00:26:31,320 --> 00:26:33,959 Speaker 1: of the policy for the regulations. 578 00:26:33,400 --> 00:26:35,000 Speaker 2: And the red tape being removed. 579 00:26:35,440 --> 00:26:37,679 Speaker 1: He gives them thirty days to do this, so some 580 00:26:37,760 --> 00:26:40,040 Speaker 1: of us might start happening pretty quick, and the industry 581 00:26:40,080 --> 00:26:40,360 Speaker 1: is you. 582 00:26:40,280 --> 00:26:42,120 Speaker 2: Know, anxious for it. 583 00:26:42,119 --> 00:26:44,800 Speaker 1: Don't start happening and popping on the website. We start 584 00:26:44,840 --> 00:26:46,960 Speaker 1: sending emails those folks as I told you we send thirty. 585 00:26:46,760 --> 00:26:49,440 Speaker 2: Million emails a month. That's not spam. Those are people 586 00:26:49,440 --> 00:26:51,200 Speaker 2: that wanted to be on our website. If someone's getting 587 00:26:51,200 --> 00:26:52,879 Speaker 2: emails because they asked to on our website. 588 00:26:52,960 --> 00:26:54,920 Speaker 1: If someone one has a job on our website one 589 00:26:54,920 --> 00:26:57,000 Speaker 1: of our recruiters, it's because that is an active job 590 00:26:57,200 --> 00:26:58,320 Speaker 1: that they want on our website. 591 00:26:58,320 --> 00:26:59,640 Speaker 2: We don't discouraging each stuff there. 592 00:26:59,640 --> 00:27:03,359 Speaker 1: Like all these other generalists and other competitors, those are 593 00:27:03,400 --> 00:27:05,560 Speaker 1: people we work with. If you see people on our website, 594 00:27:05,560 --> 00:27:07,680 Speaker 1: we talked to those companies. Most of them we talked 595 00:27:07,680 --> 00:27:10,600 Speaker 1: to for a long time and pretty consistently, so you know, 596 00:27:10,680 --> 00:27:12,480 Speaker 1: we're doing our best for the candidates to really try 597 00:27:12,520 --> 00:27:14,919 Speaker 1: to help them find those roles. On the website, we 598 00:27:15,000 --> 00:27:16,679 Speaker 1: have job fares. Go to our events and look at 599 00:27:16,680 --> 00:27:18,760 Speaker 1: what job fares are coming up and you can go 600 00:27:18,800 --> 00:27:21,240 Speaker 1: and talk to those folks on site. Almost every event 601 00:27:21,280 --> 00:27:23,360 Speaker 1: will have someone that they're looking to train up and give, 602 00:27:24,160 --> 00:27:28,280 Speaker 1: you know, entry level without experience, and it's broad right. 603 00:27:28,560 --> 00:27:31,000 Speaker 1: There's a lot of different types of roles that we'll 604 00:27:31,000 --> 00:27:32,640 Speaker 1: take in and they'll train you up. 605 00:27:33,720 --> 00:27:35,080 Speaker 2: Some of them are a little harder. 606 00:27:35,080 --> 00:27:37,400 Speaker 1: You have to have certifications for some kind of training 607 00:27:37,600 --> 00:27:40,200 Speaker 1: in order to do it. Like electricity, there's liability issues. 608 00:27:40,200 --> 00:27:41,040 Speaker 2: They can't just take anyone. 609 00:27:41,240 --> 00:27:43,600 Speaker 1: But there are a lot of other types of roles, 610 00:27:43,640 --> 00:27:45,520 Speaker 1: you know, floral and decads. A lot of people make 611 00:27:45,520 --> 00:27:47,240 Speaker 1: a lot of money in this industry that started kind 612 00:27:47,240 --> 00:27:48,840 Speaker 1: of at the bottom and worked their way up. And 613 00:27:48,920 --> 00:27:51,760 Speaker 1: you can do it quickly, you know in some instances. 614 00:27:51,800 --> 00:27:54,760 Speaker 2: So they're still offshore. There's floating production. 615 00:27:54,960 --> 00:27:58,800 Speaker 1: There's engineering and procurement and construction, right, they call them 616 00:27:58,840 --> 00:28:03,399 Speaker 1: PPC companies, UH, ministriam pipelines. There's welding, massive you know, 617 00:28:03,480 --> 00:28:07,119 Speaker 1: mechanics surely high demand, like very high demand. 618 00:28:07,280 --> 00:28:09,480 Speaker 2: Actually engineering designs. 619 00:28:09,560 --> 00:28:14,199 Speaker 1: Right, there's just so many ULSO equipment, cranes, operators, you know, 620 00:28:14,240 --> 00:28:17,960 Speaker 1: heavy machinery operators. Last year, I saw that job at 621 00:28:18,000 --> 00:28:18,920 Speaker 1: our job fairs as much. 622 00:28:18,800 --> 00:28:20,280 Speaker 2: As any job probably. Uh. 623 00:28:20,520 --> 00:28:23,000 Speaker 1: You just you know, operate a hiding machinery. You have 624 00:28:23,040 --> 00:28:24,400 Speaker 1: experience doing that in the military. 625 00:28:24,480 --> 00:28:27,199 Speaker 3: Imagine that are out there. Yeah, and hey those are 626 00:28:27,200 --> 00:28:27,959 Speaker 3: the real toys. 627 00:28:28,200 --> 00:28:28,440 Speaker 2: Right. 628 00:28:29,160 --> 00:28:31,720 Speaker 4: If you can drive a tang uh and and veer 629 00:28:31,800 --> 00:28:38,200 Speaker 4: away from IEDs under fire, air and ground assault, then yeah, 630 00:28:38,240 --> 00:28:41,320 Speaker 4: I think you can operate this piece of equipment for uh. 631 00:28:41,720 --> 00:28:42,480 Speaker 3: One of the rig Zone. 632 00:28:42,520 --> 00:28:44,600 Speaker 4: Dot Com sponsors one of the companies out in the 633 00:28:44,640 --> 00:28:46,160 Speaker 4: ol FIL. I didn't think about that, but I mean 634 00:28:46,160 --> 00:28:48,160 Speaker 4: talk about an experience. But a lot of guys in 635 00:28:48,200 --> 00:28:53,600 Speaker 4: your industry tell me that they consciously look for veterans 636 00:28:53,800 --> 00:28:56,200 Speaker 4: because these are guys that work on a team, that 637 00:28:56,320 --> 00:29:00,760 Speaker 4: make sacrifice, that are disciplined, that are tough, and it's 638 00:29:00,800 --> 00:29:04,200 Speaker 4: something that is an ideal set of talents, particularly for 639 00:29:04,240 --> 00:29:04,719 Speaker 4: that field. 640 00:29:04,960 --> 00:29:08,080 Speaker 1: Yeah, so look for our industry and every industry says this, but. 641 00:29:08,080 --> 00:29:09,240 Speaker 2: You know they say communication. 642 00:29:09,680 --> 00:29:15,040 Speaker 1: It's almost a cliche, right, communications, and you know, the intangibles, 643 00:29:15,480 --> 00:29:17,920 Speaker 1: those are off the chart for these folks, right, They're 644 00:29:18,000 --> 00:29:19,800 Speaker 1: like the best of the best when it comes to 645 00:29:19,880 --> 00:29:23,160 Speaker 1: those skills, those off the paper skills, if you will. 646 00:29:23,200 --> 00:29:26,880 Speaker 1: So they absolutely, you know, want those those types of candidates. 647 00:29:26,920 --> 00:29:29,520 Speaker 1: When we we did one in San Antonio last year, 648 00:29:29,520 --> 00:29:30,400 Speaker 1: I belive this last year. 649 00:29:30,640 --> 00:29:31,400 Speaker 2: We do them every year. 650 00:29:31,400 --> 00:29:33,480 Speaker 1: They're pretty much but we did one out there and 651 00:29:33,520 --> 00:29:37,200 Speaker 1: they focus on Eagle Forward. But we had the there's 652 00:29:37,240 --> 00:29:39,440 Speaker 1: a lot of military influence as San Antonio, right, they 653 00:29:39,440 --> 00:29:44,000 Speaker 1: have bases out there, and the NSA has people out 654 00:29:44,000 --> 00:29:45,120 Speaker 1: there that work with UTSA. 655 00:29:45,280 --> 00:29:47,000 Speaker 2: My son's actually studying. 656 00:29:46,760 --> 00:29:49,960 Speaker 1: Cybersecurity at UTSA, it's about to be a senior So 657 00:29:50,200 --> 00:29:52,560 Speaker 1: that's why because they're one of the few institutions in 658 00:29:52,560 --> 00:29:55,320 Speaker 1: the United States that has a relationship with the NESSA. Uh, 659 00:29:55,440 --> 00:29:57,200 Speaker 1: but they have a lot of military personnel there. So 660 00:29:57,720 --> 00:29:59,280 Speaker 1: for the job there, we reached out to all those 661 00:29:59,360 --> 00:30:01,120 Speaker 1: organizations and look, these companies. 662 00:30:00,840 --> 00:30:02,960 Speaker 2: Would love to talk to you. Please come out and 663 00:30:03,000 --> 00:30:04,800 Speaker 2: have a conversation with them and see if there's something 664 00:30:04,800 --> 00:30:05,960 Speaker 2: there for you. Uh. 665 00:30:06,480 --> 00:30:09,600 Speaker 1: You know, I would encourage our military and ex military 666 00:30:09,640 --> 00:30:11,120 Speaker 1: to always come to our job fairs and talk to 667 00:30:11,160 --> 00:30:14,200 Speaker 1: those folks because they are wanted, they're highly regarded, and 668 00:30:14,560 --> 00:30:17,720 Speaker 1: they're you know, strong employees. But I think most of 669 00:30:17,720 --> 00:30:18,560 Speaker 1: our companies are. 670 00:30:18,480 --> 00:30:21,160 Speaker 2: Absolutely you know, love to have and like I said. 671 00:30:21,000 --> 00:30:22,840 Speaker 1: There are there's a lot of things that you can 672 00:30:22,880 --> 00:30:25,160 Speaker 1: do in the military. It's not just like an infantry 673 00:30:25,200 --> 00:30:27,400 Speaker 1: in the front. There's you know, people do communications, that 674 00:30:27,480 --> 00:30:30,440 Speaker 1: do technology, they do heavy machinery, and those were all 675 00:30:30,480 --> 00:30:33,400 Speaker 1: heavily required skills and roles in our industry. 676 00:30:33,480 --> 00:30:35,960 Speaker 2: You know. Like I said, I I can say without 677 00:30:35,960 --> 00:30:37,240 Speaker 2: a doubt I need tech. 678 00:30:37,120 --> 00:30:40,600 Speaker 1: And heavy machinery operator and operators and other types of machinery. 679 00:30:41,000 --> 00:30:43,840 Speaker 1: Those are for the last twelve months, I've seen those 680 00:30:43,960 --> 00:30:44,600 Speaker 1: up the job. 681 00:30:44,440 --> 00:30:46,360 Speaker 2: Fairs, probably more than any of the other roles. 682 00:30:46,400 --> 00:30:50,640 Speaker 4: That's interesting, and you foresee that continuing for some time. 683 00:30:51,280 --> 00:30:53,600 Speaker 2: Yeah, I would. It would even more so, right the 684 00:30:54,200 --> 00:30:54,880 Speaker 2: quantity of them. 685 00:30:54,920 --> 00:30:57,360 Speaker 1: You would have other roles that would be equally needed 686 00:30:58,280 --> 00:31:01,080 Speaker 1: as things start kicking off again, when or Trump's policies 687 00:31:01,120 --> 00:31:02,440 Speaker 1: really start taking hold. 688 00:31:03,000 --> 00:31:05,480 Speaker 2: I would see more of the other types of roles. 689 00:31:05,240 --> 00:31:08,400 Speaker 1: In addition to those, But those wouldn't be falling back, right, 690 00:31:08,440 --> 00:31:10,760 Speaker 1: the others would just be gaining and quantity. 691 00:31:11,000 --> 00:31:13,960 Speaker 2: So yeah, that's not going to change. It's still those 692 00:31:14,000 --> 00:31:16,120 Speaker 2: needs are going to be there out in the wherever. 693 00:31:16,240 --> 00:31:19,080 Speaker 1: Maybe on our ol filled or it maybe on a 694 00:31:19,360 --> 00:31:22,120 Speaker 1: it could be. There's a lot of different variants, like 695 00:31:22,120 --> 00:31:25,160 Speaker 1: I said, Praines, and you know, all kinds of different machinery. 696 00:31:25,760 --> 00:31:26,080 Speaker 3: It is. 697 00:31:27,080 --> 00:31:31,280 Speaker 4: It's so interesting because the energy industry being such a 698 00:31:31,440 --> 00:31:35,480 Speaker 4: critical part of our economy. You know, you think of healthcare, 699 00:31:35,600 --> 00:31:37,840 Speaker 4: you think of energy, think of agriculture. 700 00:31:37,840 --> 00:31:39,800 Speaker 3: I mean, these are the big ones. 701 00:31:40,080 --> 00:31:42,760 Speaker 4: And it affects every aspect of our lives, from the 702 00:31:42,880 --> 00:31:44,920 Speaker 4: gas we put in our car to every product on 703 00:31:44,960 --> 00:31:49,760 Speaker 4: your desk, every plastic, every implant, every you know, fluid. 704 00:31:50,080 --> 00:31:52,680 Speaker 4: It all comes from the energy industry and then it 705 00:31:53,080 --> 00:31:56,719 Speaker 4: underpins your four oh one K, your retirement, your investments. 706 00:31:57,080 --> 00:32:00,680 Speaker 4: But it's also of critical importance, and particularly to me, 707 00:32:00,800 --> 00:32:03,760 Speaker 4: because you don't have a job, then politics matters a 708 00:32:03,760 --> 00:32:06,600 Speaker 4: lot less to you than putting food on the table. 709 00:32:07,000 --> 00:32:11,280 Speaker 4: And that's why I wanted to talk to rigzone dot com. Chadnorville. 710 00:32:11,480 --> 00:32:13,760 Speaker 4: You are a great guest. I appreciate you devoting so 711 00:32:13,840 --> 00:32:16,360 Speaker 4: much time to us. Let's talk again, and next time 712 00:32:16,400 --> 00:32:18,720 Speaker 4: you're having a job fair here in Houston, if you'll 713 00:32:18,720 --> 00:32:20,760 Speaker 4: shoot me an email, I will gladly promote it on 714 00:32:20,800 --> 00:32:22,200 Speaker 4: the air because that helps our people. 715 00:32:22,640 --> 00:32:22,880 Speaker 2: Yeah. 716 00:32:22,920 --> 00:32:25,520 Speaker 1: So we do Houston at least at least three times 717 00:32:25,560 --> 00:32:26,640 Speaker 1: a year, sometimes four. 718 00:32:26,880 --> 00:32:29,160 Speaker 2: So we have one there March fifth. 719 00:32:30,200 --> 00:32:32,520 Speaker 4: All right, as we get closer, I will is it 720 00:32:32,520 --> 00:32:36,280 Speaker 4: free to somebody to the to the interviewee, to the prospect. 721 00:32:36,320 --> 00:32:40,280 Speaker 1: Yeah, our candidates and professionals, it's absolutely free. We recommend 722 00:32:40,360 --> 00:32:42,880 Speaker 1: you sign up, you know, create an account on rig zone, 723 00:32:43,520 --> 00:32:45,360 Speaker 1: upload your CV, you know, set that up, and then 724 00:32:45,720 --> 00:32:48,480 Speaker 1: you know, sign up register for the event because you 725 00:32:48,480 --> 00:32:50,440 Speaker 1: know we'll get you right in whatever you say. 726 00:32:50,480 --> 00:32:52,560 Speaker 2: Because they're busy Houston especially. 727 00:32:52,320 --> 00:32:55,440 Speaker 4: Yes, and I'd love to hear this. So Chad, I'm 728 00:32:55,480 --> 00:32:56,960 Speaker 4: up against a break. Thank you for being our guest. 729 00:32:56,960 --> 00:32:59,600 Speaker 4: Thank you for doing a short notice. Chad Norville, rig 730 00:32:59,760 --> 00:33:04,960 Speaker 4: zone dot com