WEBVTT 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.