1 00:00:00,000 --> 00:00:06,980 I was not the envy of me for a long time I am an 2 00:00:06,980 --> 00:00:06,990 I was not the envy of me for a long time I am an 3 00:00:06,990 --> 00:00:08,089 I was not the envy of me for a long time I am an analyst in the innovative research laboratory 4 00:00:08,089 --> 00:00:08,099 analyst in the innovative research laboratory 5 00:00:08,099 --> 00:00:10,150 analyst in the innovative research laboratory at ubisoft montreal 6 00:00:10,150 --> 00:00:10,160 at ubisoft montreal 7 00:00:10,160 --> 00:00:13,999 at ubisoft montreal so as an analyst it is 8 00:00:13,999 --> 00:00:14,009 so as an analyst it is 9 00:00:14,009 --> 00:00:16,099 so as an analyst it is all about the analysis of the data that we 10 00:00:16,099 --> 00:00:16,109 all about the analysis of the data that we 11 00:00:16,109 --> 00:00:17,870 all about the analysis of the data that we pasted on our players in games 12 00:00:17,870 --> 00:00:17,880 pasted on our players in games 13 00:00:17,880 --> 00:00:19,040 pasted on our players in games whether it's data that is 14 00:00:19,040 --> 00:00:19,050 whether it's data that is 15 00:00:19,050 --> 00:00:21,200 whether it's data that is collected in the 16 00:00:21,200 --> 00:00:21,210 collected in the 17 00:00:21,210 --> 00:00:23,840 collected in the middle of a test so when we bring players to ubisoft or 18 00:00:23,840 --> 00:00:23,850 middle of a test so when we bring players to ubisoft or 19 00:00:23,850 --> 00:00:25,250 middle of a test so when we bring players to ubisoft or data collected by players who 20 00:00:25,250 --> 00:00:25,260 data collected by players who 21 00:00:25,260 --> 00:00:26,179 data collected by players who are playing during the days 22 00:00:26,179 --> 00:00:26,189 are playing during the days 23 00:00:26,189 --> 00:00:27,410 are playing during the days at home to their email 24 00:00:27,410 --> 00:00:27,420 at home to their email 25 00:00:27,420 --> 00:00:29,599 at home to their email I chose IT not c video games have 26 00:00:29,599 --> 00:00:29,609 I chose IT not c video games have 27 00:00:29,609 --> 00:00:31,009 I chose IT not c video games have always been a field that has interested me a lot, 28 00:00:31,009 --> 00:00:31,019 always been a field that has interested me a lot, 29 00:00:31,019 --> 00:00:34,610 always been a field that has interested me a lot, so it was 30 00:00:34,610 --> 00:00:34,620 so it was 31 00:00:34,620 --> 00:00:36,500 so it was more of an opportunity in fact in the 32 00:00:36,500 --> 00:00:36,510 more of an opportunity in fact in the 33 00:00:36,510 --> 00:00:39,080 more of an opportunity in fact in the sense that the monster had studied 34 00:00:39,080 --> 00:00:39,090 sense that the monster had studied 35 00:00:39,090 --> 00:00:40,310 sense that the monster had studied at university nothing is worth it for 36 00:00:40,310 --> 00:00:40,320 at university nothing is worth it for 37 00:00:40,320 --> 00:00:41,840 at university nothing is worth it for everyone will be able to come and do an internship 38 00:00:41,840 --> 00:00:41,850 everyone will be able to come and do an internship 39 00:00:41,850 --> 00:00:42,709 everyone will be able to come and do an internship at ubisoft 40 00:00:42,709 --> 00:00:42,719 at ubisoft 41 00:00:42,719 --> 00:00:44,360 at ubisoft it's from there that it's really 42 00:00:44,360 --> 00:00:44,370 it's from there that it's really 43 00:00:44,370 --> 00:00:46,639 it's from there that it's really your from there I want to continue 44 00:00:46,639 --> 00:00:46,649 your from there I want to continue 45 00:00:46,649 --> 00:00:50,569 your from there I want to continue to train a really passionate about 46 00:00:50,569 --> 00:00:50,579 to train a really passionate about 47 00:00:50,579 --> 00:00:52,910 to train a really passionate about looking for player behavior 48 00:00:52,910 --> 00:00:52,920 looking for player behavior 49 00:00:52,920 --> 00:00:55,310 looking for player behavior or recently planning ahead 50 00:00:55,310 --> 00:00:55,320 or recently planning ahead 51 00:00:55,320 --> 00:00:58,040 or recently planning ahead through game design but be able 52 00:00:58,040 --> 00:00:58,050 through game design but be able 53 00:00:58,050 --> 00:00:59,510 through game design but be able to go and see according to the data s 54 00:00:59,510 --> 00:00:59,520 to go and see according to the data s 55 00:00:59,520 --> 00:01:01,069 to go and see according to the data s that we collect to realize 56 00:01:01,069 --> 00:01:01,079 that we collect to realize 57 00:01:01,079 --> 00:01:02,959 that we collect to realize what the players do with it what they 58 00:01:02,959 --> 00:01:02,969 what the players do with it what they 59 00:01:02,969 --> 00:01:04,579 what the players do with it what they liked what they didn't like the horizon 60 00:01:04,579 --> 00:01:04,589 liked what they didn't like the horizon 61 00:01:04,589 --> 00:01:06,170 liked what they didn't like the horizon of the little one who is able to bring 62 00:01:06,170 --> 00:01:06,180 of the little one who is able to bring 63 00:01:06,180 --> 00:01:08,420 of the little one who is able to bring out all these things well one who 64 00:01:08,420 --> 00:01:08,430 out all these things well one who 65 00:01:08,430 --> 00:01:10,100 out all these things well one who was not at all obvious deaf after being 66 00:01:10,100 --> 00:01:10,110 was not at all obvious deaf after being 67 00:01:10,110 --> 00:01:13,460 was not at all obvious deaf after being able to make better games I 68 00:01:13,460 --> 00:01:13,470 able to make better games I 69 00:01:13,470 --> 00:01:15,230 able to make better games I was shot at how the 70 00:01:15,230 --> 00:01:15,240 was shot at how the 71 00:01:15,240 --> 00:01:17,450 was shot at how the fairly advanced mathematical bases that we learn at 72 00:01:17,450 --> 00:01:17,460 fairly advanced mathematical bases that we learn at 73 00:01:17,460 --> 00:01:19,670 fairly advanced mathematical bases that we learn at universities really turns out to be a trick if 74 00:01:19,670 --> 00:01:19,680 universities really turns out to be a trick if 75 00:01:19,680 --> 00:01:21,859 universities really turns out to be a trick if it in the application of the rule because 76 00:01:21,859 --> 00:01:21,869 it in the application of the rule because 77 00:01:21,869 --> 00:01:24,170 it in the application of the rule because really helps us to support the 78 00:01:24,170 --> 00:01:24,180 really helps us to support the 79 00:01:24,180 --> 00:01:27,100 really helps us to support the analyzes that we make of our data 80 00:01:27,100 --> 00:01:27,110 analyzes that we make of our data 81 00:01:27,110 --> 00:01:30,649 analyzes that we make of our data drawn to forget all that is new 82 00:01:30,649 --> 00:01:30,659 drawn to forget all that is new 83 00:01:30,659 --> 00:01:32,420 drawn to forget all that is new and of nichane artificial suspense it is 84 00:01:32,420 --> 00:01:32,430 and of nichane artificial suspense it is 85 00:01:32,430 --> 00:01:34,700 and of nichane artificial suspense it is a field which is expanding really 86 00:01:34,700 --> 00:01:34,710 a field which is expanding really 87 00:01:34,710 --> 00:01:36,620 a field which is expanding really what I would like is to see more at the 88 00:01:36,620 --> 00:01:36,630 what I would like is to see more at the 89 00:01:36,630 --> 00:01:37,910 what I would like is to see more at the end of the career watch what I 90 00:01:37,910 --> 00:01:37,920 end of the career watch what I 91 00:01:37,920 --> 00:01:39,050 end of the career watch what I did to tell myself I was able to make a 92 00:01:39,050 --> 00:01:39,060 did to tell myself I was able to make a 93 00:01:39,060 --> 00:01:40,670 did to tell myself I was able to make a difference either in the field of 94 00:01:40,670 --> 00:01:40,680 difference either in the field of 95 00:01:40,680 --> 00:01:42,050 difference either in the field of video games in other 96 00:01:42,050 --> 00:01:42,060 video games in other 97 00:01:42,060 --> 00:01:43,850 video games in other technological fields today we see that there 98 00:01:43,850 --> 00:01:43,860 technological fields today we see that there 99 00:01:43,860 --> 00:01:45,440 technological fields today we see that there is really a big race and help 100 00:01:45,440 --> 00:01:45,450 is really a big race and help 101 00:01:45,450 --> 00:01:47,330 is really a big race and help an intelligence data analysis 102 00:01:47,330 --> 00:01:47,340 an intelligence data analysis 103 00:01:47,340 --> 00:01:49,219 an intelligence data analysis artificial to be able to say that I 104 00:01:49,219 --> 00:01:49,229 artificial to be able to say that I 105 00:01:49,229 --> 00:01:53,000 artificial to be able to say that I contribute to simplif first difference