WEBVTT 00:00:00.000 --> 00:00:03.020 Tell me about your vision. Well, my vision when 00:00:03.020 --> 00:00:07.679 it comes to technology is taking a very empathetic 00:00:07.679 --> 00:00:11.039 route towards bringing along those around you, 00:00:11.080 --> 00:00:13.839 whether or not it's the team underneath you, 00:00:13.960 --> 00:00:18.859 the enterprise you're leading, or an entire industry 00:00:18.859 --> 00:00:23.489 of trying to push the needle forward. One of 00:00:23.489 --> 00:00:26.609 the things I've learned in my years in tech is 00:00:26.609 --> 00:00:29.710 tech is scary. And usually those who don't like 00:00:29.710 --> 00:00:34.030 to adopt tech or are frustrated with new systems 00:00:34.030 --> 00:00:41.770 or new applications run into a typical, well, 00:00:41.990 --> 00:00:43.549 this is how I've always done it. So I don't want 00:00:43.549 --> 00:00:45.950 to. there's no reason for me to change. If it 00:00:45.950 --> 00:00:49.250 works, why fix it? But because of how quickly 00:00:49.250 --> 00:00:51.890 tech changes, especially in the last few years 00:00:51.890 --> 00:00:55.670 with AI, trying to really empathetically understand 00:00:55.670 --> 00:01:01.450 where they're coming from as a vulnerable spot. 00:01:01.710 --> 00:01:04.030 It's something they don't know. It's not easy. 00:01:04.790 --> 00:01:07.200 It's not easy for them to just... flip a switch 00:01:07.200 --> 00:01:09.219 watch youtube video now all of a sudden they 00:01:09.219 --> 00:01:12.379 know everything there is to to know about automating 00:01:12.379 --> 00:01:15.439 your operations pipeline or anything like that 00:01:15.439 --> 00:01:19.200 but if you start there and try to dig down of 00:01:19.200 --> 00:01:22.480 like how do we uncover what's really the fear 00:01:22.480 --> 00:01:26.599 and then and then and try to bring them up to 00:01:26.599 --> 00:01:29.239 speed in a language that they understand not 00:01:29.239 --> 00:01:32.859 just nerd language not glossing talking to them 00:01:32.859 --> 00:01:35.939 so they gloss over and have no idea about the 00:01:35.939 --> 00:01:38.340 agentic frameworks and the this that and the 00:01:38.340 --> 00:01:42.760 others but truly try to break it into pieces 00:01:42.760 --> 00:01:44.739 that they understand and getting them excited 00:01:44.739 --> 00:01:48.459 for how it's going to help in the in the age 00:01:48.459 --> 00:01:52.719 of ai a lot of the speak the speaking engagements 00:01:52.719 --> 00:01:57.060 i've had the topic always comes up of i am a 00:01:57.060 --> 00:02:01.680 middle manager or i am a line worker is ai going 00:02:01.680 --> 00:02:05.040 to replace my job and what we've seen is the 00:02:05.040 --> 00:02:08.819 most valuable people to actually create these 00:02:08.819 --> 00:02:12.340 solutions within ai or or understand the best 00:02:12.340 --> 00:02:15.979 use cases of ai are not your high level executives 00:02:15.979 --> 00:02:18.219 they're not your middle level executives they 00:02:18.219 --> 00:02:22.069 are the ones that are actually knowing what the 00:02:22.069 --> 00:02:24.550 business processes that could be automated, that 00:02:24.550 --> 00:02:31.990 could be potentially fixed or sped up in some 00:02:31.990 --> 00:02:34.210 way. And they're the ones that should be empowered 00:02:34.210 --> 00:02:37.229 to be driving those visions. So that's where 00:02:37.229 --> 00:02:41.009 I'd say empathetic innovation is the absolute 00:02:41.009 --> 00:02:44.349 key to being able to have a tech vision that's 00:02:44.349 --> 00:02:49.599 adaptable and that's future proof. There's a 00:02:49.599 --> 00:02:53.400 lot you share in that. One thing you shared was 00:02:53.400 --> 00:02:56.060 a genetic vision, and I don't know what that 00:02:56.060 --> 00:02:58.960 is. I know what the genetic state is. I don't 00:02:58.960 --> 00:03:01.000 know what a genetic vision is. The second thing 00:03:01.000 --> 00:03:07.020 I think I want to talk about, this is how I look 00:03:07.020 --> 00:03:09.379 at it, and I might be for sure wrong. I'm no 00:03:09.379 --> 00:03:12.439 expert in these things, and I want you to counter 00:03:12.439 --> 00:03:15.539 that and help me get centered in what you think. 00:03:17.159 --> 00:03:21.439 I believe that not right now, maybe not even 00:03:21.439 --> 00:03:23.919 in the five years, but maybe in the 10, 15 years 00:03:23.919 --> 00:03:31.099 coming forward, if people are not adapting ways 00:03:31.099 --> 00:03:34.580 to increase their efficiency using technology 00:03:34.580 --> 00:03:37.560 to their benefits, one way or the other, they 00:03:37.560 --> 00:03:42.620 will be replaced. For example, before AI, before 00:03:42.620 --> 00:03:48.830 web, when web got introduced, People, the newspaper 00:03:48.830 --> 00:03:51.770 industry was booming in a lot of ways. And this 00:03:51.770 --> 00:03:54.969 thing was going on. And now they have switched 00:03:54.969 --> 00:03:58.590 to a different side. They go to a different market. 00:03:58.629 --> 00:04:01.189 They're not the only source of advertisements, 00:04:01.750 --> 00:04:04.610 businesses, of news, etc. There's so much more 00:04:04.610 --> 00:04:08.590 that goes on. So people, a lot of companies... 00:04:08.960 --> 00:04:11.699 lost businesses and a lot of companies gain businesses 00:04:11.699 --> 00:04:14.080 and i think i see the same way i think a lot 00:04:14.080 --> 00:04:16.300 of jobs will be created a lot of jobs will be 00:04:16.300 --> 00:04:20.759 uh would not be needed anymore um similarly with 00:04:20.759 --> 00:04:24.399 robot workers coming in place that i think that 00:04:24.399 --> 00:04:31.040 might be one of the biggest um if not the most 00:04:31.040 --> 00:04:36.319 impactful replacement of jobs where um there's 00:04:36.319 --> 00:04:40.079 not much needed it's just Tasks on tasks on tasks 00:04:40.079 --> 00:04:43.759 being completed, like fast food, retail stores, 00:04:44.180 --> 00:04:47.800 things like that, where a lot of people without 00:04:47.800 --> 00:04:54.160 much skills can get a job and just rely on systems 00:04:54.160 --> 00:04:58.600 and processes to do jobs for them or learn to 00:04:58.600 --> 00:05:00.579 follow systems and processes to get something 00:05:00.579 --> 00:05:03.980 done. What are your thoughts on those two things? 00:05:04.339 --> 00:05:08.610 Charles, I'd love to hear. Yeah. So let's dive 00:05:08.610 --> 00:05:11.189 into them kind of piece by piece. I think one 00:05:11.189 --> 00:05:13.269 of the first ones you mentioned of newspapers 00:05:13.269 --> 00:05:17.410 that have gone out of fashion and have lost a 00:05:17.410 --> 00:05:21.290 ton of money for websites and newsletters and 00:05:21.290 --> 00:05:27.680 24 -hour news cycles. I would argue what we learn 00:05:27.680 --> 00:05:32.560 in Marketing 101 in college is it's not necessarily 00:05:32.560 --> 00:05:36.060 the end product that is the industry. The industry 00:05:36.060 --> 00:05:38.399 is something that is much broader. So in a very 00:05:38.399 --> 00:05:41.199 similar way, I would say, look at the railroads. 00:05:41.339 --> 00:05:45.000 The railroads' biggest problem and why they failed 00:05:45.000 --> 00:05:49.019 to be the dominant force that they used to be 00:05:49.019 --> 00:05:51.759 was they shouldn't have been the railroad industry. 00:05:52.100 --> 00:05:55.050 They should have been transportation. So the 00:05:55.050 --> 00:05:57.009 railroad should have been the first airplane, 00:05:57.269 --> 00:06:00.730 public airline. The railroad should have been 00:06:00.730 --> 00:06:07.529 the first logistics like FedEx and UPS type of 00:06:07.529 --> 00:06:11.170 entity because that's what they did. They moved 00:06:11.170 --> 00:06:15.009 things from one place to another. And with newspapers, 00:06:15.430 --> 00:06:18.589 it's... It's creating content and putting content 00:06:18.589 --> 00:06:22.470 in front of users. Now we have a much more gamified 00:06:22.470 --> 00:06:27.089 and addictive way to do that. So whether you 00:06:27.089 --> 00:06:29.829 want to say that's for good or for bad, the reach 00:06:29.829 --> 00:06:32.889 is obviously much, much, much broader. As we 00:06:32.889 --> 00:06:38.389 look at the age of AI and what's that's changing, 00:06:38.730 --> 00:06:41.250 one of the big pillars within AI is what's called 00:06:41.250 --> 00:06:45.029 hyper. personalizations that is being able to 00:06:45.029 --> 00:06:50.870 give you exactly whatever you want and so Right 00:06:50.870 --> 00:06:53.589 now, the easy way to say is when you go on Netflix, 00:06:53.790 --> 00:06:55.870 it says, here's the top five things that we think 00:06:55.870 --> 00:06:57.589 you're going to like. When you go on Amazon, 00:06:57.769 --> 00:06:59.790 it's like, here's the four products that you're 00:06:59.790 --> 00:07:02.610 going to like. But now think about it a couple 00:07:02.610 --> 00:07:05.670 of steps further of if you're watching a movie 00:07:05.670 --> 00:07:08.790 with your daughter who's eight years old, shouldn't 00:07:08.790 --> 00:07:10.750 be hearing curse words, but you both want to 00:07:10.750 --> 00:07:13.579 watch this movie. It's actually. it could be 00:07:13.579 --> 00:07:18.000 dynamically shifting and editing and and um deleting 00:07:18.000 --> 00:07:20.139 either deleting scenes or moving scenes around 00:07:20.139 --> 00:07:26.620 changing the the overall um show or movie itself 00:07:26.620 --> 00:07:30.319 to be personalized to the audience which would 00:07:30.319 --> 00:07:32.879 be the two of you watching movie night on friday 00:07:32.879 --> 00:07:38.189 and so that that's where I think the old world's 00:07:38.189 --> 00:07:41.209 using examples of like, oh, the railroads did 00:07:41.209 --> 00:07:44.269 this and this widen that that didn't happen in 00:07:44.269 --> 00:07:48.230 the newspapers. And now what we have with hyper 00:07:48.230 --> 00:07:50.589 personalization, that's not replacing anything. 00:07:50.920 --> 00:07:53.259 Now let's talk about what can replace and the 00:07:53.259 --> 00:07:55.879 concerns about replacing. One of the things you 00:07:55.879 --> 00:07:59.100 mentioned around robots. Robots are really good 00:07:59.100 --> 00:08:06.439 at repeating physical manipulation of objects. 00:08:06.639 --> 00:08:08.740 So picking stuff up, putting card doors together, 00:08:09.000 --> 00:08:10.680 blah, blah, blah, blah, blah. That's actually 00:08:10.680 --> 00:08:13.420 been here for about 20 years now. And what we 00:08:13.420 --> 00:08:16.720 saw and one of the biggest failures I think we 00:08:16.720 --> 00:08:19.100 had in the US was everything that happened in 00:08:19.100 --> 00:08:22.240 Michigan where we were. placing scores of what 00:08:22.240 --> 00:08:26.019 we would call our unskilled workers with these 00:08:26.019 --> 00:08:30.899 robots to be able to build these cars. The problem 00:08:30.899 --> 00:08:35.860 is we as a nation didn't do anything to try to 00:08:35.860 --> 00:08:40.480 reskill or rehome, find other ways, other opportunities 00:08:40.480 --> 00:08:44.860 for those workers to do something else and find 00:08:44.860 --> 00:08:48.429 something else. And the other piece that comes 00:08:48.429 --> 00:08:51.090 when I say I'm talking about AI is AI is really 00:08:51.090 --> 00:08:53.409 good at automating and taking away the stuff 00:08:53.409 --> 00:08:56.169 that you don't like to do. So if you're an indie 00:08:56.169 --> 00:08:58.549 filmmaker, do you really want to be following 00:08:58.549 --> 00:09:03.149 your taxes and applying for your business permits 00:09:03.149 --> 00:09:05.649 and your film permits? Or do you want to be creating? 00:09:05.809 --> 00:09:09.110 Do you want to be doing what your brain is most 00:09:09.110 --> 00:09:13.110 adept and enjoys doing itself? And so I would 00:09:13.110 --> 00:09:15.860 actually say. Unskilled workers is an unfair 00:09:15.860 --> 00:09:19.960 way to categorize those who might be at a fast 00:09:19.960 --> 00:09:22.299 food restaurant because one of their best characteristics 00:09:22.299 --> 00:09:25.659 is being human. Humans are inherently creative. 00:09:25.960 --> 00:09:29.019 They have pattern recognition in a very different 00:09:29.019 --> 00:09:32.120 way. They're not good at big data sets. They're 00:09:32.120 --> 00:09:35.059 not good at repetitive motion and repetitive 00:09:35.059 --> 00:09:40.610 tasks, but they are good at trying to trying 00:09:40.610 --> 00:09:44.809 to work out unique ways to solve problems. And 00:09:44.809 --> 00:09:48.129 so that's where I would definitely separate a 00:09:48.129 --> 00:09:50.590 couple of these different topics too. AI is not 00:09:50.590 --> 00:09:54.029 going to just replace everybody and now we're 00:09:54.029 --> 00:09:57.929 all out of a job. But the old joke of AI won't 00:09:57.929 --> 00:10:01.169 replace lawyers, but lawyers who use AI will 00:10:01.169 --> 00:10:03.889 definitely replace lawyers who don't. Now let's 00:10:03.889 --> 00:10:09.350 talk about the agentic. that you were talking 00:10:09.350 --> 00:10:13.090 about. I really want to hear that. I'm wondering, 00:10:13.210 --> 00:10:19.529 did I say agentic platforms? If that's what you 00:10:19.529 --> 00:10:24.759 meant, let me go with that. to break it down 00:10:24.759 --> 00:10:28.220 in kind of simple terms when you had the original 00:10:28.220 --> 00:10:31.820 chat gpt come out that is a single agent you 00:10:31.820 --> 00:10:36.240 uh transformer that you talk to it and um it 00:10:36.240 --> 00:10:39.340 might have a couple tools behind it but in reality 00:10:39.340 --> 00:10:42.220 you're talking to a bot and it's outputting in 00:10:42.220 --> 00:10:47.740 a piece of information then the uh The multi 00:10:47.740 --> 00:10:51.100 -agent world came around where that's where I 00:10:51.100 --> 00:10:53.700 talked. And the travel planner is usually the 00:10:53.700 --> 00:10:58.600 one that you always hear about. The multi -agent 00:10:58.600 --> 00:11:01.000 type of platform where I say, I want to go on 00:11:01.000 --> 00:11:04.440 vacation. And there's the travel agent agent. 00:11:04.860 --> 00:11:07.059 that says, oh, you want to go on vacation? Great. 00:11:07.279 --> 00:11:11.580 Let me talk to my other experts. So I have a 00:11:11.580 --> 00:11:16.399 airline booking expert agent that has access 00:11:16.399 --> 00:11:19.419 to the APIs for all the airlines to find the 00:11:19.419 --> 00:11:23.460 best price ones. Then I have a calendar agent 00:11:23.460 --> 00:11:26.100 that has the best events that are going on at 00:11:26.100 --> 00:11:28.879 that time. And then I have a kids events agent 00:11:28.879 --> 00:11:33.679 that tells me what. goes well with our our family 00:11:33.679 --> 00:11:36.720 they all report back to that single travel agent 00:11:36.720 --> 00:11:39.000 and the out travel agent says hey here's the 00:11:39.000 --> 00:11:41.440 four four recommended trips that you could do 00:11:41.440 --> 00:11:43.879 that's the mo that was the multi -step and that 00:11:43.879 --> 00:11:47.720 was revolutionary because now you're able to 00:11:47.720 --> 00:11:54.740 really take um uh these highly intelligent AI 00:11:54.740 --> 00:11:58.340 agents and then have them work together. Agentic 00:11:58.340 --> 00:12:03.639 framework is now taking that, but exploding it 00:12:03.639 --> 00:12:07.899 to the point where it's not just very specific 00:12:07.899 --> 00:12:10.500 where you're saying you are a travel agent and 00:12:10.500 --> 00:12:14.940 you are a booking agent and you are, et cetera, 00:12:15.019 --> 00:12:18.419 et cetera. It is breaking them down to the... 00:12:20.919 --> 00:12:23.299 most specialized expertise. And this is where 00:12:23.299 --> 00:12:28.039 DeepSeq, which is the big AI alum that just came 00:12:28.039 --> 00:12:30.559 out, a lot of big news about it. But having those 00:12:30.559 --> 00:12:36.080 specialized expertise agents that you don't try 00:12:36.080 --> 00:12:42.080 to prescribe what they are or build a lot of 00:12:42.080 --> 00:12:44.779 functionality into each of them, they are continuously 00:12:45.549 --> 00:12:48.850 being created and growing based upon the last 00:12:48.850 --> 00:12:52.789 interaction. So then they figure out, oh, a really, 00:12:52.830 --> 00:12:55.970 really good airline booking agent actually isn't 00:12:55.970 --> 00:12:57.950 one that I tell it it's an airline booking agent. 00:12:58.070 --> 00:13:01.110 It's one that's scraping the Reddit forums that 00:13:01.110 --> 00:13:05.070 finds the next best deal or something like that. 00:13:05.210 --> 00:13:09.840 And that is that agentic platform that has. tons 00:13:09.840 --> 00:13:12.639 of agents and tons of tools within it becomes 00:13:12.639 --> 00:13:16.720 really, really powerful. But it's also a very 00:13:16.720 --> 00:13:20.580 difficult concept to really wrap your your head 00:13:20.580 --> 00:13:22.940 around because it kind of just starts sounding 00:13:22.940 --> 00:13:26.059 sounds like magic, like just put something in 00:13:26.059 --> 00:13:29.740 and you'll get something out. So that's why I 00:13:29.740 --> 00:13:32.620 think the joke I made is if I were to start talking 00:13:32.620 --> 00:13:35.340 to a CEO and be like agentic platforms or how 00:13:35.340 --> 00:13:38.080 we're going to change your business, it they're 00:13:38.080 --> 00:13:40.039 going to gloss over and you have to try to break 00:13:40.039 --> 00:13:44.200 it down into more meaningful business terms for 00:13:44.200 --> 00:13:46.460 them. Thank you for being here today. I'm really 00:13:46.460 --> 00:13:48.440 happy that you tuned in to Vision Pros Live. 00:13:48.639 --> 00:13:51.039 I'm looking forward to seeing your reactions 00:13:51.039 --> 00:13:53.679 as these episodes continue to move forward. This 00:13:53.679 --> 00:13:55.580 is going to get more and more fun. We'll have 00:13:55.580 --> 00:13:57.399 more and more engagement as well. We'll invite 00:13:57.399 --> 00:13:59.799 people to participate in the show. And thank 00:13:59.799 --> 00:14:01.759 you for giving us your time and attention. Have 00:14:01.759 --> 00:14:04.399 an excellent time building out your vision and 00:14:04.399 --> 00:14:05.559 becoming a vision pro yourself.