1 00:00:03,159 --> 00:00:05,960 In today's episode, when AI arrives at 2 00:00:05,960 --> 00:00:08,400 school, technology in the daily life of 3 00:00:08,400 --> 00:00:11,200 education. 4 00:00:11,200 --> 00:00:12,960 Hello, everyone. Once again, welcome 5 00:00:12,960 --> 00:00:15,960 to the XMACNA podcast. I'm 6 00:00:15,960 --> 00:00:18,560 Gustavo Fechus, and I'm here once again 7 00:00:18,560 --> 00:00:21,240 with my friend Daniel Valladares, whom 8 00:00:21,240 --> 00:00:23,960 I thank for his perseverance, 9 00:00:23,960 --> 00:00:26,640 patience, and courage, right, Daniel? 10 00:00:26,640 --> 00:00:28,880 So we can continue here 11 00:00:28,880 --> 00:00:31,840 developing our topics within the scope 12 00:00:31,840 --> 00:00:33,600 of XMACNA, 13 00:00:33,600 --> 00:00:35,719 our digital employees and 14 00:00:35,719 --> 00:00:39,239 other solutions that we have been 15 00:00:39,239 --> 00:00:43,399 developing with a lot of 16 00:00:43,399 --> 00:00:45,640 purpose, right? If we think about the 17 00:00:45,640 --> 00:00:48,360 applications that our 18 00:00:48,360 --> 00:00:51,079 products have today, right, Daniel, they're truly 19 00:00:51,079 --> 00:00:53,280 very important, and we will have 20 00:00:53,280 --> 00:00:56,680 the chance to talk about them later 21 00:00:56,680 --> 00:00:59,199 about each one of them. Today, in 22 00:00:59,199 --> 00:01:02,719 particular, it seemed 23 00:01:02,719 --> 00:01:05,560 appropriate, right, Daniel, to develop the 24 00:01:05,560 --> 00:01:09,680 idea of digital employees, especially 25 00:01:09,680 --> 00:01:13,280 for the world of education. 26 00:01:13,280 --> 00:01:16,040 How can we 27 00:01:16,040 --> 00:01:19,040 take advantage of this 28 00:01:19,040 --> 00:01:22,240 technology today, not only from digital employees, but from 29 00:01:22,240 --> 00:01:24,079 AI as a whole, right, Daniel? I think we 30 00:01:24,079 --> 00:01:26,040 could expand the scope a little more 31 00:01:26,040 --> 00:01:31,360 It's broader in this area. So then, 32 00:01:31,360 --> 00:01:33,280 Daniel, what catches my attention, and so I can 33 00:01:33,280 --> 00:01:36,560 pass the word to you, is the way 34 00:01:36,560 --> 00:01:39,240 nowadays we have been thinking and already 35 00:01:39,240 --> 00:01:41,399 observing, having the experience of 36 00:01:41,399 --> 00:01:43,360 AI implementation. 37 00:01:43,360 --> 00:01:46,159 In this area, starting with the fact that 38 00:01:46,159 --> 00:01:49,079 our daily lives and our own 39 00:01:49,079 --> 00:01:50,960 experience with technology is already 40 00:01:50,960 --> 00:01:54,200 very mediated by and will continue to be by 41 00:01:54,200 --> 00:01:56,360 AI, right? So, we now have fields 42 00:01:56,360 --> 00:01:59,560 in culture increasingly embracing 43 00:01:59,560 --> 00:02:03,520 these tools more and more. I think that 44 00:02:03,520 --> 00:02:05,280 that Netflix example where they've been 45 00:02:05,280 --> 00:02:09,000 trying to hire studios that 46 00:02:09,000 --> 00:02:11,599 work with AI is one aspect of this, 47 00:02:11,599 --> 00:02:14,560 so it's like an effect of 48 00:02:14,560 --> 00:02:17,959 a movement already underway in 49 00:02:17,959 --> 00:02:22,640 our social fabric. Microsoft, Cloud, 50 00:02:22,640 --> 00:02:25,280 all the operating systems we 51 00:02:25,280 --> 00:02:28,280 work with too, 52 00:02:28,280 --> 00:02:31,640 are presenting AI integrations that, in the end, 53 00:02:31,640 --> 00:02:35,080 really make our lives much easier and 54 00:02:35,080 --> 00:02:36,760 are also, let's say, 55 00:02:36,760 --> 00:02:41,239 pedagogical, right, in how we 56 00:02:41,239 --> 00:02:44,280 can use them, with different 57 00:02:44,280 --> 00:02:46,440 tools. So, choose where 58 00:02:46,440 --> 00:02:48,200 you'd like to start, because I think 59 00:02:48,200 --> 00:02:50,680 this is a topic with many 60 00:02:50,680 --> 00:02:52,720 interfaces, right? Go ahead, take it from here, 61 00:02:52,720 --> 00:02:53,680 Daniel. 62 00:02:53,680 --> 00:02:56,319 So, man, in the world of education, 63 00:02:56,319 --> 00:02:58,319 not just education, but we have 64 00:02:58,319 --> 00:03:00,680 a series of possibilities for application 65 00:03:00,680 --> 00:03:04,480 of AI. But if we really look closely at the market 66 00:03:04,480 --> 00:03:07,599 of education, we have the possibility 67 00:03:07,599 --> 00:03:10,720 to apply it both in what we here 68 00:03:10,720 --> 00:03:13,360 in programming would call back end, 69 00:03:13,360 --> 00:03:15,200 which is the backstage, so 70 00:03:15,200 --> 00:03:17,560 for doing analysis, right? So, imagine 71 00:03:17,560 --> 00:03:19,440 just think, you 72 00:03:19,440 --> 00:03:21,280 can today analyze, process 73 00:03:21,280 --> 00:03:24,200 a lot of data and then, as you well 74 00:03:24,200 --> 00:03:26,040 said, AIs are getting more and more 75 00:03:26,040 --> 00:03:28,560 integrated in our lives, now even in Microsoft 76 00:03:28,560 --> 00:03:32,480 Office, so Office already had the 77 00:03:32,480 --> 00:03:35,439 Microsoft Copilot, and now the Cloud 78 00:03:35,439 --> 00:03:37,799 also announced plugins there to 79 00:03:37,799 --> 00:03:39,920 work inside Excel, inside 80 00:03:39,920 --> 00:03:42,920 PowerPoint, helping with these 81 00:03:42,920 --> 00:03:45,599 presentations. 82 00:03:45,599 --> 00:03:48,439 As you also mentioned, we 83 00:03:48,439 --> 00:03:50,080 have the Netflix case. Netflix 84 00:03:50,080 --> 00:03:51,959 recently bought a production company 85 00:03:51,959 --> 00:03:54,079 that was actually founded by 86 00:03:54,079 --> 00:03:57,319 Ben Affleck. It's a production company 87 00:03:57,319 --> 00:03:59,239 focused on creating films and 88 00:03:59,239 --> 00:04:02,760 content using AI, right? So, that's another 89 00:04:02,760 --> 00:04:06,079 example, 90 00:04:06,079 --> 00:04:09,360 of AI being applied. 91 00:04:09,360 --> 00:04:12,760 You can see AI getting closer to the general 92 00:04:12,760 --> 00:04:16,400 public, right? And as if that wasn't enough, there are 93 00:04:16,400 --> 00:04:19,320 there's Alexa too, right, which is already 94 00:04:19,320 --> 00:04:21,440 present in the homes of many 95 00:04:21,440 --> 00:04:25,000 Brazilians, and Amazon also 96 00:04:25,000 --> 00:04:27,199 recently announced the possibility 97 00:04:27,199 --> 00:04:30,880 of a plan in which it will include 98 00:04:30,880 --> 00:04:33,840 artificial intelligence as well 99 00:04:33,840 --> 00:04:35,520 running directly inside the 100 00:04:35,520 --> 00:04:36,560 device, which I'm not going to keep 101 00:04:36,560 --> 00:04:37,960 saying its name so I don't activate mine 102 00:04:37,960 --> 00:04:42,600 or our guest's. But 103 00:04:42,600 --> 00:04:44,800 we also have that possibility. 104 00:04:44,800 --> 00:04:48,360 All this to say what, Gustavo? That 105 00:04:48,360 --> 00:04:53,720 AI is getting closer and closer to the 106 00:04:53,720 --> 00:04:55,600 everyone, right, to people in general, because it 107 00:04:55,600 --> 00:04:57,880 started off as something in a bubble, it was just tech people, 108 00:04:57,880 --> 00:04:59,639 tech folks, 109 00:04:59,639 --> 00:05:03,440 it was, you know, just the classic nerd, locked in a 110 00:05:03,440 --> 00:05:07,919 dark room with black screens and text 111 00:05:07,919 --> 00:05:11,039 only, right? And now it's coming to light 112 00:05:11,039 --> 00:05:14,080 for everyone, in different 113 00:05:14,080 --> 00:05:16,000 formats, right? So, inside an 114 00:05:16,000 --> 00:05:20,319 Office app, on the TV with Netflix, on 115 00:05:20,319 --> 00:05:22,960 personal assistant devices, 116 00:05:22,960 --> 00:05:26,840 so it's getting closer and closer. So, 117 00:05:26,840 --> 00:05:30,000 we can see that 118 00:05:30,000 --> 00:05:32,360 in these applications, especially in the 119 00:05:32,360 --> 00:05:34,520 world of education, we can 120 00:05:34,520 --> 00:05:38,360 also bring AI even closer 121 00:05:38,360 --> 00:05:41,720 to solve basic questions there from the 122 00:05:41,720 --> 00:05:43,720 day-to-day, about the functioning of a 123 00:05:43,720 --> 00:05:45,319 school, about the functioning of a 124 00:05:45,319 --> 00:05:48,800 university, which is dealing with those 125 00:05:48,800 --> 00:05:50,800 demands that keep happening 126 00:05:50,800 --> 00:05:54,280 all the time, right? At a reception, 127 00:05:54,280 --> 00:05:56,440 at an office, right? Requesting a 128 00:05:56,440 --> 00:05:59,199 certificate, asking to resend something. I 129 00:05:59,199 --> 00:06:01,759 remember that at college there was always 130 00:06:01,759 --> 00:06:04,039 someone who would arrive there, forget their 131 00:06:04,039 --> 00:06:05,720 student card to get in, needed to go 132 00:06:05,720 --> 00:06:07,599 to the office, there was a huge line 133 00:06:07,599 --> 00:06:09,240 for you to get a little paper to 134 00:06:09,240 --> 00:06:11,680 enter. So, all these kinds of 135 00:06:11,680 --> 00:06:15,080 process today, you can have 136 00:06:15,080 --> 00:06:18,560 an AI assistant there, right, who can be 137 00:06:18,560 --> 00:06:22,120 an AI secretary, who can be an 138 00:06:22,120 --> 00:06:25,000 AI receptionist, who can be an SDRA, 139 00:06:25,000 --> 00:06:28,039 who will work in your enrollment process, 140 00:06:28,039 --> 00:06:31,560 for example, right, to support 141 00:06:31,560 --> 00:06:34,440 this process. And then, Gustavo, a 142 00:06:34,440 --> 00:06:36,680 very common question is also: but 143 00:06:36,680 --> 00:06:38,720 then will I remove all humans from the 144 00:06:38,720 --> 00:06:42,080 operation, right? And where's the, the point of 145 00:06:42,080 --> 00:06:44,560 that chat you have when meeting people, of 146 00:06:44,560 --> 00:06:47,240 having people there? And the answer here is: 147 00:06:47,240 --> 00:06:49,560 no. The idea is not to remove the 148 00:06:49,560 --> 00:06:52,720 human from the operation, but to make it so 149 00:06:52,720 --> 00:06:56,039 that those humans who are in the operation 150 00:06:56,039 --> 00:06:59,639 can dedicate their time to doing things 151 00:06:59,639 --> 00:07:02,560 there, you know, to develop roles that are 152 00:07:02,560 --> 00:07:04,960 more strategic, more important and 153 00:07:04,960 --> 00:07:07,120 those more operational tasks there, 154 00:07:07,120 --> 00:07:10,960 which in fact would be a job 155 00:07:10,960 --> 00:07:13,000 that's robotic, you know, even though it's done 156 00:07:13,000 --> 00:07:16,400 by humans, it could be carried out 157 00:07:16,400 --> 00:07:19,400 automatically there by AIs, right? 158 00:07:19,400 --> 00:07:21,400 How have you seen this happening over there 159 00:07:21,400 --> 00:07:25,000 too, Gustavo? Since you, besides this 160 00:07:25,000 --> 00:07:28,800 our XMACNA ecosystem also 161 00:07:28,800 --> 00:07:32,080 take part in this ecosystem 162 00:07:32,080 --> 00:07:34,879 educational? 163 00:07:34,879 --> 00:07:38,479 Yes. Well, Daniel, one thing that 164 00:07:38,479 --> 00:07:41,360 comes to mind is that a very common concern 165 00:07:41,360 --> 00:07:43,280 is frequent 166 00:07:43,280 --> 00:07:45,199 Uh... 167 00:07:45,199 --> 00:07:46,960 So, in the educational environment, in 168 00:07:46,960 --> 00:07:49,360 particular, right? Let's say, the school 169 00:07:49,360 --> 00:07:52,720 is a social organism that receives these 170 00:07:52,720 --> 00:07:55,280 new things a bit more slowly, right? 171 00:07:55,280 --> 00:07:56,800 It's quite true that 172 00:07:56,800 --> 00:07:58,879 an AGIS board is also a 173 00:07:58,879 --> 00:08:02,000 technology, right? It's a technology, 174 00:08:02,000 --> 00:08:04,639 period. But at the same time, uh, 175 00:08:04,639 --> 00:08:06,840 we always notice the effect of 176 00:08:06,840 --> 00:08:08,440 something new, right? So, 177 00:08:08,440 --> 00:08:11,280 at first it's understandable, it's part 178 00:08:11,280 --> 00:08:14,840 of this culture, but what I think is that it's 179 00:08:14,840 --> 00:08:17,639 unavoidable that we are 180 00:08:17,639 --> 00:08:20,919 institutionally also up to date and, uh, 181 00:08:20,919 --> 00:08:24,560 are able to incorporate these solutions, 182 00:08:24,560 --> 00:08:26,800 because, you see, the students, if your school 183 00:08:26,800 --> 00:08:29,240 doesn't want to, the students are just using, are 184 00:08:29,240 --> 00:08:32,279 using it and there are many layers and 185 00:08:32,279 --> 00:08:36,039 possibilities for applying 186 00:08:36,039 --> 00:08:39,760 technology for the benefit of the business, for 187 00:08:39,760 --> 00:08:42,360 pedagogical benefit, for the benefit of 188 00:08:42,360 --> 00:08:45,720 support. There are different 189 00:08:45,720 --> 00:08:48,839 possibilities that we already see 190 00:08:48,839 --> 00:08:51,760 and implement, right? With the 191 00:08:51,760 --> 00:08:53,800 now this concern from the school, just 192 00:08:53,800 --> 00:08:56,200 to make a point here, it is very 193 00:08:56,200 --> 00:08:58,800 frequently associated 194 00:08:58,800 --> 00:09:03,480 with the supposed artificial or 195 00:09:03,480 --> 00:09:06,040 robotic nature. Clearly, this is an 196 00:09:06,040 --> 00:09:07,880 expression of not knowing the state 197 00:09:07,880 --> 00:09:11,040 of the art, right? Because today we have 198 00:09:11,040 --> 00:09:13,440 linguistic performance 199 00:09:13,440 --> 00:09:17,240 absolutely comparable to 200 00:09:17,240 --> 00:09:20,000 human performance or even better. In 201 00:09:20,000 --> 00:09:21,320 fact, if we think from this 202 00:09:21,320 --> 00:09:24,600 perspective, the mistakes that sometimes 203 00:09:24,600 --> 00:09:27,800 someone might, you know, make or 204 00:09:27,800 --> 00:09:30,640 commit, we have from this 205 00:09:30,640 --> 00:09:33,200 perspective a lot of confidence 206 00:09:33,200 --> 00:09:36,000 in the accuracy, in the right tone 207 00:09:36,000 --> 00:09:38,760 that AI delivers today. An 208 00:09:38,760 --> 00:09:41,000 absolutely daily experience for us 209 00:09:41,000 --> 00:09:42,880 here. Every day, all the time we 210 00:09:42,880 --> 00:09:45,360 are dealing with high performance 211 00:09:45,360 --> 00:09:48,600 linguistics and this human simulation that 212 00:09:48,600 --> 00:09:50,200 is very competent, right? 213 00:09:50,200 --> 00:09:52,720 >> Uh-huh. Yeah, I understand this concern, 214 00:09:52,720 --> 00:09:54,440 I think it's very legitimate, but 215 00:09:54,440 --> 00:09:56,519 I also think it's a bit of a myth at this 216 00:09:56,519 --> 00:09:58,079 moment, you know? In the sense of saying 217 00:09:58,079 --> 00:10:00,120 that, look, it doesn't really happen in practice, 218 00:10:00,120 --> 00:10:02,200 there's a bit of openness for us 219 00:10:02,200 --> 00:10:04,800 to be quite comfortable with a tool 220 00:10:04,800 --> 00:10:07,320 that as we get to know it, we 221 00:10:07,320 --> 00:10:10,000 start gaining more confidence with 222 00:10:10,000 --> 00:10:12,040 its use, right? 223 00:10:12,040 --> 00:10:14,440 >> Yes, for sure. And there's also a 224 00:10:14,440 --> 00:10:17,440 very important point as well, which is 225 00:10:17,440 --> 00:10:20,680 the conscious use of this technology, 226 00:10:20,680 --> 00:10:22,720 right? Because it really is a technology 227 00:10:22,720 --> 00:10:24,600 that you can use for different 228 00:10:24,600 --> 00:10:28,440 things, right? And if you educate that 229 00:10:28,440 --> 00:10:30,320 student, that citizen so that 230 00:10:30,320 --> 00:10:33,959 they really understand how to make good 231 00:10:33,959 --> 00:10:36,279 use of it, right? And I think that's 232 00:10:36,279 --> 00:10:38,880 an important role that education has 233 00:10:38,880 --> 00:10:41,720 to show how to use it to 234 00:10:41,720 --> 00:10:43,560 create interesting things, right? That 235 00:10:43,560 --> 00:10:46,040 do something that really impacts 236 00:10:46,040 --> 00:10:49,120 society and the world in a positive way. I 237 00:10:49,120 --> 00:10:51,240 think this approach is interesting, 238 00:10:51,240 --> 00:10:54,800 this closeness, this touch, you know, with this 239 00:10:54,800 --> 00:10:57,760 kind of technology. And in 240 00:10:57,760 --> 00:10:59,519 fact, there's something that's really 241 00:10:59,519 --> 00:11:02,639 It's interesting when we analyze it, right? 242 00:11:02,639 --> 00:11:06,120 some of the service interactions, right here 243 00:11:06,120 --> 00:11:09,600 at XMACNA, I sometimes notice that 244 00:11:09,600 --> 00:11:11,959 our digital employees, they 245 00:11:11,959 --> 00:11:14,079 sometimes end up being even more 246 00:11:14,079 --> 00:11:16,880 friendly, more human than some 247 00:11:16,880 --> 00:11:20,000 humans I've interacted with, you know? 248 00:11:20,000 --> 00:11:23,760 to the point of receiving those messages 249 00:11:23,760 --> 00:11:26,639 automatic ones, like happy Easter, happy 250 00:11:26,639 --> 00:11:29,800 Mother's Day, and so on. And the digital employee replied: 251 00:11:29,800 --> 00:11:31,639 "Oh, thank you very much to you too, 252 00:11:31,639 --> 00:11:34,320 and to your family as well. Rabbit emojis, 253 00:11:34,320 --> 00:11:36,720 which is something, I always give this 254 00:11:36,720 --> 00:11:39,720 example here, because when I saw it, 255 00:11:39,720 --> 00:11:42,279 you know, because it was someone from my 256 00:11:42,279 --> 00:11:44,760 close circle, she sent it to a 257 00:11:44,760 --> 00:11:47,760 number I had used at some point 258 00:11:47,760 --> 00:11:49,399 as a personal number and later it became 259 00:11:49,399 --> 00:11:52,680 a corporate number. And then I received 260 00:11:52,680 --> 00:11:54,200 that, and I said: "Wow, it's already 261 00:11:54,200 --> 00:11:55,639 answered." I went to read the reply, 262 00:11:55,639 --> 00:11:58,560 and thought, it replied better than I would have. 263 00:11:58,560 --> 00:12:01,800 So, so it's really, it's really 264 00:12:01,800 --> 00:12:04,040 interesting when we look from 265 00:12:04,040 --> 00:12:06,079 this perspective, right, and realize, wow, 266 00:12:06,079 --> 00:12:08,880 really, obviously it's a 267 00:12:08,880 --> 00:12:11,279 technology, it's an artificial 268 00:12:11,279 --> 00:12:14,560 intelligence, but it really does have the 269 00:12:14,560 --> 00:12:17,160 ability to communicate, to 270 00:12:17,160 --> 00:12:19,680 relate to, I don't know if we can 271 00:12:19,680 --> 00:12:22,040 call it empathy, but at least with 272 00:12:22,040 --> 00:12:25,760 a very well-done simulation of empathy 273 00:12:25,760 --> 00:12:29,800 that makes people 274 00:12:29,800 --> 00:12:31,880 on the other side feel well taken care of, 275 00:12:31,880 --> 00:12:33,959 right? And something else you mentioned, 276 00:12:33,959 --> 00:12:36,839 Gustavo, is that students, regardless 277 00:12:36,839 --> 00:12:40,160 of anything, are already using AI. 278 00:12:40,160 --> 00:12:43,160 And more than that, parents are already 279 00:12:43,160 --> 00:12:45,440 using AI too, right? Because imagine, the 280 00:12:45,440 --> 00:12:47,959 student will often use it in a 281 00:12:47,959 --> 00:12:51,839 context maybe even for entertainment, right? 282 00:12:51,839 --> 00:12:54,760 to chat, to make a joke or to, 283 00:12:54,760 --> 00:12:57,600 anyway, even to do some task 284 00:12:57,600 --> 00:13:01,440 for real. Meanwhile, parents are 285 00:13:01,440 --> 00:13:05,480 also experiencing today 286 00:13:05,480 --> 00:13:08,800 this arrival of artificial intelligence 287 00:13:08,800 --> 00:13:11,480 in their own jobs, right? 288 00:13:11,480 --> 00:13:13,920 So, I see, for example, here there are 289 00:13:13,920 --> 00:13:18,040 some technologies I used to 290 00:13:18,040 --> 00:13:20,680 do automations and so on, right? And that was 291 00:13:20,680 --> 00:13:24,000 something that was completely unknown 292 00:13:24,000 --> 00:13:26,440 to the general public. And suddenly 293 00:13:26,440 --> 00:13:28,880 I see my wife who 294 00:13:28,880 --> 00:13:33,360 works at a pharmaceutical company 295 00:13:33,360 --> 00:13:36,480 in the architecture area, using the same 296 00:13:36,480 --> 00:13:38,680 tools as I do, right, and that the 297 00:13:38,680 --> 00:13:41,600 IT team usually uses. 298 00:13:41,600 --> 00:13:44,079 So you notice that there is a 299 00:13:44,079 --> 00:13:47,199 closer connection too and a 300 00:13:47,199 --> 00:13:50,079 greater awareness as well regarding 301 00:13:50,079 --> 00:13:52,560 to this happening with the parents. And in the end 302 00:13:52,560 --> 00:13:55,399 of the day, it's when they get in 303 00:13:55,399 --> 00:13:57,519 contact with the school, you know, they want to 304 00:13:57,519 --> 00:14:00,000 solve a specific issue there. 305 00:14:00,000 --> 00:14:03,519 So, if that issue is resolved, in 306 00:14:03,519 --> 00:14:06,040 reality, they don't really want to understand 307 00:14:06,040 --> 00:14:08,600 if it's being solved by a robot, 308 00:14:08,600 --> 00:14:12,040 by a, by a chatbot. Right? The 309 00:14:12,040 --> 00:14:14,480 important thing is to solve it and solve it as 310 00:14:14,480 --> 00:14:16,440 quickly as possible. So we are 311 00:14:16,440 --> 00:14:18,600 saying here that it's often like this 312 00:14:18,600 --> 00:14:20,560 the person doesn't even realize that 313 00:14:20,560 --> 00:14:21,759 they are talking to AI. 314 00:14:21,759 --> 00:14:22,680 >> Exactly. 315 00:14:22,680 --> 00:14:24,720 >> Yes. Absolutely plausible. We 316 00:14:24,720 --> 00:14:26,759 are not talking about his hypothesis. We are 317 00:14:26,759 --> 00:14:29,160 saying, look, this is how it works. Today, the 318 00:14:29,160 --> 00:14:30,519 state of the art we have allows us 319 00:14:30,519 --> 00:14:33,480 to precisely emulate this. It's not 320 00:14:33,480 --> 00:14:35,279 that you're tricking the person, 321 00:14:35,279 --> 00:14:37,399 nothing like that, but you're providing 322 00:14:37,399 --> 00:14:41,000 a fast, quality, and effective service 323 00:14:41,000 --> 00:14:43,000 at the time the person needs it. 324 00:14:43,000 --> 00:14:45,320 >> Exactly, whether it's with audio, with 325 00:14:45,320 --> 00:14:49,240 text, with calls, right? So, Gustavo, 326 00:14:49,240 --> 00:14:50,680 I think that's also another 327 00:14:50,680 --> 00:14:53,279 very important aspect for us to mention 328 00:14:53,279 --> 00:14:54,600 here, because when we talk about this, 329 00:14:54,600 --> 00:14:57,560 it often gives the impression that 330 00:14:57,560 --> 00:15:00,399 this AI will only interact through text, 331 00:15:00,399 --> 00:15:03,800 Right, there through writing, right, both 332 00:15:03,800 --> 00:15:06,360 reading and writing, right, the interlocutor 333 00:15:06,360 --> 00:15:09,240 writing there. But actually, no, right? 334 00:15:09,240 --> 00:15:11,199 It will also work with audio, it will 335 00:15:11,199 --> 00:15:14,360 also work by phone, uh, and by 336 00:15:14,360 --> 00:15:17,199 audio as well, and there it doesn't 337 00:15:17,199 --> 00:15:20,079 necessarily have to be in education, 338 00:15:20,079 --> 00:15:23,320 but in some clinics, right, uh, 339 00:15:23,320 --> 00:15:25,480 that we also serve here in the 340 00:15:25,480 --> 00:15:28,720 health sector. Uh, I've already had cases of 341 00:15:28,720 --> 00:15:31,600 clinics that served people who, in their 342 00:15:31,600 --> 00:15:34,920 majority, were not literate, so 343 00:15:34,920 --> 00:15:37,800 there was a difficulty with 344 00:15:37,800 --> 00:15:41,399 writing, reading. So, the digital 345 00:15:41,399 --> 00:15:43,440 assistant even helped with this 346 00:15:43,440 --> 00:15:46,319 service quickly, because the 347 00:15:46,319 --> 00:15:48,759 person would send an audio and it would reply 348 00:15:48,759 --> 00:15:52,560 also by audio, so it made it possible 349 00:15:52,560 --> 00:15:54,399 for this service, which would usually be 350 00:15:54,399 --> 00:15:56,240 a service that would take longer, 351 00:15:56,240 --> 00:15:58,399 right? Because for a human, you would have to 352 00:15:58,399 --> 00:16:01,399 listen to the audio, record an audio, 353 00:16:01,399 --> 00:16:03,360 listen to the audio, record the audio. So it's 354 00:16:03,360 --> 00:16:06,360 that also ended up making it 355 00:16:06,360 --> 00:16:10,880 more interesting and, uh, in the 356 00:16:10,880 --> 00:16:12,399 time the person needs, because 357 00:16:12,399 --> 00:16:13,759 we also need to think about the person 358 00:16:13,759 --> 00:16:15,240 on the other side, right, 359 00:16:15,240 --> 00:16:17,519 Gustavo? Because a human will have 360 00:16:17,519 --> 00:16:20,120 limited capacity to respond 361 00:16:20,120 --> 00:16:22,000 the messages. How many times on your 362 00:16:22,000 --> 00:16:24,480 WhatsApp do you end your day? Yeah, 363 00:16:24,480 --> 00:16:26,199 no, not necessarily Gustavo, who 364 00:16:26,199 --> 00:16:29,000 I know is a pro at replying on 365 00:16:29,000 --> 00:16:32,839 WhatsApp, but maybe the other person 366 00:16:32,839 --> 00:16:35,639 is more like me, who ends 367 00:16:35,639 --> 00:16:37,759 sometimes with 15 WhatsApp 368 00:16:37,759 --> 00:16:40,240 messages, 20 messages left to reply to 369 00:16:40,240 --> 00:16:44,360 still, right? So, the person on the other 370 00:16:44,360 --> 00:16:46,160 side also deserves to get a reply 371 00:16:46,160 --> 00:16:49,600 quickly, right, 372 00:16:49,959 --> 00:16:52,199 >> Daniel? I think we had 373 00:16:52,199 --> 00:16:54,000 the chance to go over some points 374 00:16:54,000 --> 00:16:55,600 that are important. Obviously, this topic 375 00:16:55,600 --> 00:16:58,959 is endless, but here is our 376 00:16:58,959 --> 00:17:01,079 recommendation for those who 377 00:17:01,079 --> 00:17:03,240 listened to us, and if it makes sense, reach out to us 378 00:17:03,240 --> 00:17:05,480 so we can go deeper into these 379 00:17:05,480 --> 00:17:07,880 points, even do a demo FT 380 00:17:07,880 --> 00:17:10,000 demonstration, understand your operation, 381 00:17:10,000 --> 00:17:12,559 understand your business. And we 382 00:17:12,559 --> 00:17:15,480 have a lot of confidence and experience 383 00:17:15,480 --> 00:17:19,000 in this kind of implementation. And to you 384 00:17:19,000 --> 00:17:21,400 who stayed with us until now, also 385 00:17:21,400 --> 00:17:23,120 our request, our invitation for you to 386 00:17:23,120 --> 00:17:25,559 share this content with anyone 387 00:17:25,559 --> 00:17:28,280 else who might be interested. Our 388 00:17:28,280 --> 00:17:30,799 thank you very much, a hug. Thank you 389 00:17:30,799 --> 00:17:33,200 too, Daniel, and see you next time. 390 00:17:33,200 --> 00:17:37,559 >> Thank you, everyone. See you soon.