1 00:00:01,960 --> 00:00:05,080 Speaker 1: Hi, I'm Bob Pittman. While Math and Magic is on break, 2 00:00:05,280 --> 00:00:08,399 Speaker 1: we're sharing with you CEOs you should know who visit 3 00:00:08,440 --> 00:00:12,240 Speaker 1: at iHeartRadio stations across America. If you're a business junkie 4 00:00:12,360 --> 00:00:14,800 Speaker 1: like I am, I think you'll enjoy hearing some personal 5 00:00:14,840 --> 00:00:19,040 Speaker 1: stories from successful CEOs. Today's conversation is hosted by morning 6 00:00:19,120 --> 00:00:21,560 Speaker 1: show host Ryan Gorman, and I'll be back with a 7 00:00:21,600 --> 00:00:23,200 Speaker 1: new season of Mathemagic soon. 8 00:00:24,880 --> 00:00:28,319 Speaker 2: Joining me in studio, I have Sean Nushan, founder and 9 00:00:28,440 --> 00:00:31,680 Speaker 2: CEO of New Gen Tech. He's also co founder of 10 00:00:31,800 --> 00:00:36,440 Speaker 2: Fusion Prep and partner at proper House Group. Shan, thanks 11 00:00:36,440 --> 00:00:38,120 Speaker 2: so much for taking a few minutes to come in. 12 00:00:38,200 --> 00:00:40,559 Speaker 2: And you've got a lot of things going on here. Yeah, 13 00:00:40,600 --> 00:00:42,640 Speaker 2: a lot of different companies talk about. Let's start with 14 00:00:42,800 --> 00:00:45,520 Speaker 2: new Gen Tech and the work that you do there. 15 00:00:45,800 --> 00:00:49,519 Speaker 3: Yeah. New GenTech is a managed IT service provider, so 16 00:00:49,920 --> 00:00:53,800 Speaker 3: we do outsourced it for companies that don't have an 17 00:00:53,800 --> 00:00:56,160 Speaker 3: IT department or might have just a few people that 18 00:00:56,200 --> 00:00:59,920 Speaker 3: are focused on strategy, and we handle everything they might 19 00:01:00,080 --> 00:01:02,520 Speaker 3: needs to have a help desk. We have engineering, support, 20 00:01:02,560 --> 00:01:04,040 Speaker 3: field services. 21 00:01:03,640 --> 00:01:08,280 Speaker 2: And that's crucial because nobody who's working anywhere wants to 22 00:01:08,280 --> 00:01:10,920 Speaker 2: go through a situation where their stuff isn't working. 23 00:01:10,959 --> 00:01:14,559 Speaker 3: Absolutely, yeah, And we also do a little bit different 24 00:01:14,560 --> 00:01:16,200 Speaker 3: from some other MSPs, but we also do a lot 25 00:01:16,200 --> 00:01:19,200 Speaker 3: of workplace technology and technology infrastructure, so we do a 26 00:01:19,200 --> 00:01:21,800 Speaker 3: lot of the cabling and physical work. You know, a 27 00:01:21,800 --> 00:01:25,200 Speaker 3: lot of people are focused on you know, being remote 28 00:01:25,200 --> 00:01:28,280 Speaker 3: and taus all things remotely, but we're in the field 29 00:01:28,319 --> 00:01:31,200 Speaker 3: and on the ground and in the offices with our customers. 30 00:01:31,280 --> 00:01:34,880 Speaker 2: And do you find especially smaller businesses, medium sized businesses 31 00:01:35,080 --> 00:01:37,959 Speaker 2: when it comes to putting that infrastructure together. That's got 32 00:01:38,000 --> 00:01:39,400 Speaker 2: to be something where a lot of them they don't 33 00:01:39,400 --> 00:01:40,160 Speaker 2: even know where to begin. 34 00:01:40,400 --> 00:01:43,120 Speaker 3: Yeah, it's just you know, it's good to have a 35 00:01:43,160 --> 00:01:45,480 Speaker 3: partner that is focused on that so they can focus 36 00:01:45,520 --> 00:01:48,240 Speaker 3: on the things that they know best and do best. 37 00:01:48,240 --> 00:01:50,600 Speaker 3: And so we always say we keep them up and 38 00:01:50,680 --> 00:01:52,400 Speaker 3: running so they can focus on the things that they 39 00:01:52,400 --> 00:01:52,840 Speaker 3: do best. 40 00:01:53,080 --> 00:01:56,440 Speaker 2: And that's got to be an industry where things have 41 00:01:56,560 --> 00:01:59,520 Speaker 2: grown exponentially in recent years. 42 00:01:59,280 --> 00:02:01,640 Speaker 3: Right, definitely. I mean just I mean I've been doing 43 00:02:01,680 --> 00:02:04,480 Speaker 3: it since I was a kid pretty much, and yeah, 44 00:02:04,520 --> 00:02:07,120 Speaker 3: there's always changes, you know. Now it's you know, the 45 00:02:07,160 --> 00:02:10,280 Speaker 3: big AI an automation and just like any business you're 46 00:02:10,280 --> 00:02:12,840 Speaker 3: always looking to try to do more with less, and 47 00:02:13,639 --> 00:02:16,520 Speaker 3: technology really allows them to do that, and we try 48 00:02:16,560 --> 00:02:18,280 Speaker 3: to stay on the on the forefront of that. 49 00:02:18,560 --> 00:02:23,120 Speaker 2: Let's talk about fusion prep because this is really interesting. 50 00:02:23,240 --> 00:02:25,280 Speaker 2: Explain what that business does. 51 00:02:25,520 --> 00:02:28,200 Speaker 3: Yeah, so at new GenTech, we part of our business 52 00:02:28,200 --> 00:02:31,720 Speaker 3: we work with hospitality companies, so we'll do restaurant it 53 00:02:32,120 --> 00:02:36,040 Speaker 3: for restaurants and audio video. I was in the kitchen 54 00:02:36,280 --> 00:02:39,639 Speaker 3: probably about twelve thirteen years ago now, and one of 55 00:02:39,680 --> 00:02:41,519 Speaker 3: the chefs approached me and said that they were having 56 00:02:41,520 --> 00:02:44,200 Speaker 3: a hard time kind of keeping everything in sync across 57 00:02:44,280 --> 00:02:47,840 Speaker 3: all of the locations. They had a paper recipe binder. 58 00:02:47,560 --> 00:02:50,200 Speaker 2: And oh wow book, yeah, and you know. 59 00:02:50,200 --> 00:02:52,600 Speaker 3: There's you know, food crusted on it, but you know, 60 00:02:52,680 --> 00:02:55,119 Speaker 3: they were he just we were just you know, going 61 00:02:55,160 --> 00:02:57,200 Speaker 3: back and forth, and he said, you know, there has 62 00:02:57,200 --> 00:02:59,400 Speaker 3: to be a better way to do this. And a 63 00:02:59,400 --> 00:03:01,040 Speaker 3: friend of mine that had grown up with me and 64 00:03:01,200 --> 00:03:04,240 Speaker 3: was also a fellow you know, tech nerd, and one 65 00:03:04,240 --> 00:03:06,520 Speaker 3: weekend we just built out this very simple version for 66 00:03:06,560 --> 00:03:09,120 Speaker 3: them to keep everything in sync. And it just started 67 00:03:09,120 --> 00:03:11,520 Speaker 3: growing from there and they started using it and so 68 00:03:11,600 --> 00:03:14,080 Speaker 3: now it's a food it's a digital kitchen solution. But 69 00:03:14,200 --> 00:03:17,960 Speaker 3: it handles all food safety compliance oh wow, recipe management, 70 00:03:18,120 --> 00:03:19,680 Speaker 3: operational checklists and. 71 00:03:19,760 --> 00:03:22,960 Speaker 2: So basically you took the chaos of the bear and 72 00:03:23,000 --> 00:03:27,360 Speaker 2: you organized that's it, yeah, digitally, Yeah, but yeah, we 73 00:03:27,400 --> 00:03:29,440 Speaker 2: take paper out of the kitchen and make sure everything 74 00:03:29,480 --> 00:03:31,680 Speaker 2: is labeled and safe and handle training. 75 00:03:31,760 --> 00:03:35,960 Speaker 3: And we're in about thirty seven hundred restaurants now around 76 00:03:36,040 --> 00:03:36,440 Speaker 3: the country. 77 00:03:36,560 --> 00:03:36,720 Speaker 2: Wow. 78 00:03:36,920 --> 00:03:39,520 Speaker 3: Just started off as a weekend side hustle. 79 00:03:39,720 --> 00:03:42,320 Speaker 2: You know, your weekend side hustle is much different from 80 00:03:42,360 --> 00:03:45,600 Speaker 2: the weekend side hustles of a lot of other people. 81 00:03:45,680 --> 00:03:50,160 Speaker 2: And while we're on the hospitality topic, that's what you 82 00:03:50,200 --> 00:03:51,480 Speaker 2: do at Proper House Group. 83 00:03:51,600 --> 00:03:56,480 Speaker 3: Yeah, we's same thing. I just on the journey. I 84 00:03:56,560 --> 00:03:59,880 Speaker 3: was a customer at Rooster in the till small restaurant 85 00:04:00,000 --> 00:04:02,720 Speaker 3: someoneal Heights, was about thirty seats at the time. They 86 00:04:02,760 --> 00:04:05,400 Speaker 3: had been operating for a couple of years. But just 87 00:04:05,440 --> 00:04:08,400 Speaker 3: went in and told them that I saw they were 88 00:04:08,520 --> 00:04:10,640 Speaker 3: kind of handwriting their labels like most people do in 89 00:04:10,680 --> 00:04:14,080 Speaker 3: the kitchen and told them about Fusion Prep and we 90 00:04:14,080 --> 00:04:18,400 Speaker 3: put it in for them and just became friends. And Ferrell, 91 00:04:19,400 --> 00:04:21,360 Speaker 3: my partner, and I were at lunch one day and 92 00:04:21,560 --> 00:04:23,680 Speaker 3: we walked by the site that is now the Nebraska 93 00:04:23,680 --> 00:04:26,760 Speaker 3: minimarret and I told them that I would love to 94 00:04:26,760 --> 00:04:29,560 Speaker 3: get involved from a business standpoint, and we built that 95 00:04:29,640 --> 00:04:32,039 Speaker 3: out and then I became partners and everything else. And 96 00:04:32,120 --> 00:04:35,200 Speaker 3: now fast forward to today and we have ten restaurants 97 00:04:35,200 --> 00:04:36,839 Speaker 3: that our ninth and tenth open today. 98 00:04:36,839 --> 00:04:40,320 Speaker 1: Actually, more on CEOs you should know after this quick break, 99 00:04:45,720 --> 00:04:47,839 Speaker 1: let's get back to more CEOs you should know. 100 00:04:50,480 --> 00:04:54,279 Speaker 2: You mentioned that you've been doing this kind of stuff, 101 00:04:54,320 --> 00:04:57,280 Speaker 2: this work in technology since you were a kid. Yeah, 102 00:04:57,400 --> 00:05:02,279 Speaker 2: you just found it interesting and ractially did you teach yourself. 103 00:05:02,560 --> 00:05:05,480 Speaker 3: I got my first computer kind of the typical story. 104 00:05:05,520 --> 00:05:07,120 Speaker 3: My parents, you know, put it in front of me, 105 00:05:07,160 --> 00:05:10,640 Speaker 3: and I just took off and was very curious about it. 106 00:05:10,760 --> 00:05:13,560 Speaker 3: I got my Microsoft certification in high school, my MCS 107 00:05:14,000 --> 00:05:15,800 Speaker 3: I was at the time. I was one of the 108 00:05:15,800 --> 00:05:19,040 Speaker 3: youngest in the country. Now, of course they do this 109 00:05:19,240 --> 00:05:23,240 Speaker 3: normally in high school, but but yeah, I just I 110 00:05:23,279 --> 00:05:26,920 Speaker 3: got that certification and knew early on that that technology 111 00:05:27,000 --> 00:05:31,000 Speaker 3: was going to be, you know, a focus for me. 112 00:05:31,279 --> 00:05:34,560 Speaker 2: How much have things changed from when you first started 113 00:05:34,560 --> 00:05:36,640 Speaker 2: getting into it to where we are today. 114 00:05:36,680 --> 00:05:41,200 Speaker 3: I can only imagine, I mean, it changes, yeah, so quickly. 115 00:05:41,240 --> 00:05:43,880 Speaker 3: I think the big thing for me, especially as I 116 00:05:43,880 --> 00:05:47,160 Speaker 3: got into business. I would always think like, eventually this 117 00:05:47,200 --> 00:05:50,360 Speaker 3: will be so easy that maybe people might not need help, 118 00:05:50,440 --> 00:05:53,000 Speaker 3: you know. And I guess that was a naive approach, 119 00:05:53,120 --> 00:05:56,480 Speaker 3: but thankfully, you know, it just continues to get more 120 00:05:56,520 --> 00:05:58,599 Speaker 3: complex and and you know, you use it as a 121 00:05:58,640 --> 00:06:01,640 Speaker 3: tool and and and we know the tools. 122 00:06:02,200 --> 00:06:06,320 Speaker 2: So from what you've seen, let's talk about AI for 123 00:06:06,400 --> 00:06:08,520 Speaker 2: a moment. Yeah, where are we headed? 124 00:06:09,240 --> 00:06:11,840 Speaker 3: I mean, it's going to change. It is changing work 125 00:06:11,880 --> 00:06:14,800 Speaker 3: today our customers. I'm one of the things that I 126 00:06:14,960 --> 00:06:16,520 Speaker 3: love most about my job is that I get to 127 00:06:16,520 --> 00:06:18,839 Speaker 3: work with people in a bunch of different fields and 128 00:06:18,920 --> 00:06:21,440 Speaker 3: verticals and different businesses, and we have a front row seat. 129 00:06:21,560 --> 00:06:24,159 Speaker 3: So I think, you know, we look at manufacturing and 130 00:06:24,200 --> 00:06:27,359 Speaker 3: how they're using it to interpret data, you know, sales data, 131 00:06:27,360 --> 00:06:32,039 Speaker 3: supply chain. You know, we use it to automate workflow, 132 00:06:32,160 --> 00:06:35,920 Speaker 3: so onboarding new employees, offboarding new employees, making sure they 133 00:06:35,920 --> 00:06:39,680 Speaker 3: get integrated into different systems. But so you know, there's 134 00:06:39,720 --> 00:06:42,560 Speaker 3: sort of automation and AI. I think automation is sort 135 00:06:42,560 --> 00:06:45,400 Speaker 3: of how can we make things easier, more efficient? And 136 00:06:45,440 --> 00:06:47,680 Speaker 3: then AI is really like how are we using you know, 137 00:06:47,720 --> 00:06:50,599 Speaker 3: analyzing the data to make better decisions to drive the 138 00:06:50,600 --> 00:06:54,000 Speaker 3: business forward. And and so where we really help them 139 00:06:54,080 --> 00:06:56,640 Speaker 3: is sort of put to bring everything together. So take 140 00:06:56,680 --> 00:06:59,680 Speaker 3: distributed systems, data information, bring it together in a way 141 00:06:59,680 --> 00:07:01,360 Speaker 3: that they can and make better decisions. 142 00:07:01,480 --> 00:07:05,240 Speaker 2: From your vantage point, is this something that is going 143 00:07:05,279 --> 00:07:08,760 Speaker 2: to take away jobs that's a big concern. Is it 144 00:07:08,880 --> 00:07:11,800 Speaker 2: something that is going to be more like an assistant 145 00:07:12,080 --> 00:07:14,920 Speaker 2: for those who are working? How do you see it 146 00:07:15,000 --> 00:07:17,320 Speaker 2: impacting that the workforce more broadly? 147 00:07:18,120 --> 00:07:21,120 Speaker 3: I definitely think it will eliminate some jobs, you know, 148 00:07:21,280 --> 00:07:24,680 Speaker 3: hopefully with any transition that me and people are you know, 149 00:07:24,960 --> 00:07:28,000 Speaker 3: uh move to other you know areas where they can 150 00:07:28,080 --> 00:07:31,520 Speaker 3: provide value. But it's certainly you know, making things easier. 151 00:07:31,560 --> 00:07:34,720 Speaker 3: I mean everyone uses chat GPT by now. I feel 152 00:07:34,760 --> 00:07:37,240 Speaker 3: like if they're in business just to you know, have 153 00:07:37,320 --> 00:07:39,520 Speaker 3: it be a supplement or and aid, but to have 154 00:07:39,760 --> 00:07:42,920 Speaker 3: you know, that power behind you to help you automate 155 00:07:42,960 --> 00:07:46,720 Speaker 3: tasks and move faster, I think is how I would 156 00:07:46,720 --> 00:07:49,760 Speaker 3: describe it. I think it's going to be very disruptive. 157 00:07:49,960 --> 00:07:52,720 Speaker 2: Do you find that a lot of the businesses that 158 00:07:52,800 --> 00:07:55,160 Speaker 2: you work with, do they have a general idea of 159 00:07:55,280 --> 00:07:58,440 Speaker 2: how to make AI work for them? Or we're in 160 00:07:58,480 --> 00:08:01,480 Speaker 2: a phase right now where everybody is just maybe a 161 00:08:01,520 --> 00:08:03,320 Speaker 2: little overwhelmed and not sure what to do. 162 00:08:03,600 --> 00:08:06,880 Speaker 3: I think it's a very early stage we have this. 163 00:08:07,560 --> 00:08:10,440 Speaker 3: You know, there's a saying in it called shadow it, 164 00:08:10,800 --> 00:08:12,960 Speaker 3: but it's it would be if someone you know works 165 00:08:13,000 --> 00:08:15,280 Speaker 3: in a large company and then they open up chat 166 00:08:15,320 --> 00:08:19,800 Speaker 3: GPT and start dumping corporate data into it's yeah, feedback, right, 167 00:08:19,840 --> 00:08:22,080 Speaker 3: and so that's part of you know, sort of what 168 00:08:22,080 --> 00:08:26,200 Speaker 3: we what we think about too. But I you certainly 169 00:08:26,200 --> 00:08:29,920 Speaker 3: see it more prevalent across them the entire organization, and 170 00:08:29,960 --> 00:08:32,080 Speaker 3: people are sort of know what's coming and are doing 171 00:08:32,080 --> 00:08:34,040 Speaker 3: their best to figure it out. And so to the 172 00:08:34,080 --> 00:08:35,480 Speaker 3: extent we can help them navigate that. 173 00:08:35,880 --> 00:08:39,480 Speaker 2: If you're a smaller medium sized business and you really 174 00:08:39,520 --> 00:08:42,800 Speaker 2: haven't gotten started on any of this stuff yet, what 175 00:08:42,840 --> 00:08:47,040 Speaker 2: should they know and do you have any any tips 176 00:08:47,080 --> 00:08:50,160 Speaker 2: for them based on how you've been working with other 177 00:08:50,200 --> 00:08:53,080 Speaker 2: companies and have gotten other companies integrated into all of this. 178 00:08:53,640 --> 00:08:55,280 Speaker 3: I think it's like a muscle. I mean, so you know, 179 00:08:55,360 --> 00:08:57,480 Speaker 3: you you really just have to you know, try right, 180 00:08:57,520 --> 00:09:00,440 Speaker 3: and you tweak the prompts and and of you know, 181 00:09:01,200 --> 00:09:03,560 Speaker 3: any tool yeah right, I mean I can think of 182 00:09:03,720 --> 00:09:07,360 Speaker 3: the just the other day, you know, negotiating contracts and 183 00:09:07,400 --> 00:09:10,360 Speaker 3: reviewing as part of my thing. We obviously have counsel 184 00:09:10,440 --> 00:09:13,040 Speaker 3: that we rely on, but as an example, you know, 185 00:09:13,080 --> 00:09:16,240 Speaker 3: I can upload those and get feedback quickly so that 186 00:09:16,920 --> 00:09:18,640 Speaker 3: you know, you pay by the hour for an attorney, 187 00:09:18,679 --> 00:09:20,400 Speaker 3: but I'm sort of going in there with a little 188 00:09:20,480 --> 00:09:23,480 Speaker 3: more insight and information that they can shorten that. Yeah, 189 00:09:23,559 --> 00:09:26,680 Speaker 3: So I mean that would be one example, but every 190 00:09:26,760 --> 00:09:29,320 Speaker 3: day I'm sort of toying with that and having it 191 00:09:29,400 --> 00:09:31,880 Speaker 3: open and seeing how best to leverage it. 192 00:09:32,040 --> 00:09:34,320 Speaker 2: And last question for you on this and this is, 193 00:09:34,480 --> 00:09:38,800 Speaker 2: you know, fantastic insight into this you know thing that 194 00:09:38,800 --> 00:09:42,320 Speaker 2: we're all trying to wrap our heads around. The accuracy. Yeah, 195 00:09:42,440 --> 00:09:45,200 Speaker 2: that's been a big question too. How much do you 196 00:09:45,280 --> 00:09:48,120 Speaker 2: rely on AI? What have you seen? 197 00:09:48,720 --> 00:09:52,120 Speaker 3: It's always trust but verify for yeah, you know, yeah, 198 00:09:52,280 --> 00:09:54,280 Speaker 3: so always double check it. But yeah, I've seen it 199 00:09:54,320 --> 00:09:56,720 Speaker 3: sort of that you know, they call it hallucinations, And. 200 00:09:56,960 --> 00:09:59,960 Speaker 2: Like with that contract we're talking about, you'll eventually talk 201 00:10:00,120 --> 00:10:01,800 Speaker 2: to an attorney. 202 00:10:01,320 --> 00:10:03,600 Speaker 3: Absolutely, Yeah, you would never sort of push it right 203 00:10:03,600 --> 00:10:06,400 Speaker 3: through you and have somebody sign it. But yeah, it's 204 00:10:06,679 --> 00:10:11,000 Speaker 3: a tool and just like anything else that it relies on, 205 00:10:11,040 --> 00:10:14,040 Speaker 3: information that it has learned from, and so I think 206 00:10:14,360 --> 00:10:16,640 Speaker 3: you're always going to have that. I think you're going 207 00:10:16,679 --> 00:10:18,880 Speaker 3: to always need to rely on experts to make sure 208 00:10:18,920 --> 00:10:20,440 Speaker 3: that everything is buttoned up. 209 00:10:21,120 --> 00:10:24,960 Speaker 2: For small business owners medium sized companies listening right now 210 00:10:25,080 --> 00:10:28,680 Speaker 2: who want to utilize what you can provide, what's the 211 00:10:28,679 --> 00:10:30,439 Speaker 2: best way for them to find you and reach out 212 00:10:30,440 --> 00:10:32,200 Speaker 2: to you on LinkedIn? 213 00:10:32,880 --> 00:10:35,880 Speaker 3: Just search me on LinkedIn, New gen tech dot com, 214 00:10:35,920 --> 00:10:38,760 Speaker 3: Fusion Prep dot com, and proper Housegroup dot com. 215 00:10:38,800 --> 00:10:42,000 Speaker 2: All right, Sean NuGen, founder and CEO of New Gen Tech, 216 00:10:42,040 --> 00:10:45,040 Speaker 2: co founder of Fusion Prep and partner at Proper House 217 00:10:45,080 --> 00:10:48,679 Speaker 2: Group with us for our CEO spotlight. Sean really appreciate 218 00:10:48,760 --> 00:10:50,400 Speaker 2: the time and insight. Thanks so much, Thanks so much. 219 00:10:50,559 --> 00:10:54,800 Speaker 1: N I'm Bob Pittman. Thanks for listening to CEOs. You 220 00:10:54,800 --> 00:10:56,520 Speaker 1: should know we'll see you next time.