Meeting Title: AI Team Weekly Standup Date: 2025-10-15 Meeting participants: Samuel Roberts, Mustafa Raja, Casie Aviles, Rico Rejoso, Robert Tseng, Uttam Kumaran
WEBVTT
1 00:00:54.520 ⇒ 00:00:55.480 Samuel Roberts: Mayor Ron.
2 00:00:59.360 ⇒ 00:01:00.030 Casie Aviles: Hey.
3 00:01:01.120 ⇒ 00:01:02.090 Samuel Roberts: How are we all doing today?
4 00:01:02.920 ⇒ 00:01:03.810 Samuel Roberts: Excuse me.
5 00:01:04.650 ⇒ 00:01:05.590 Mustafa Raja: Doing good.
6 00:01:05.960 ⇒ 00:01:06.890 Samuel Roberts: Good deal.
7 00:01:13.920 ⇒ 00:01:15.560 Samuel Roberts: Oh, excuse me.
8 00:01:18.740 ⇒ 00:01:24.560 Samuel Roberts: A little… a little tired this morning and didn’t sleep great, but… Hey.
9 00:01:27.500 ⇒ 00:01:28.360 Samuel Roberts: Yeah.
10 00:01:44.430 ⇒ 00:01:47.230 Samuel Roberts: Okay, let’s waiting for… I’m still…
11 00:01:53.510 ⇒ 00:01:54.710 Samuel Roberts: Excuse me.
12 00:02:19.670 ⇒ 00:02:21.559 Uttam Kumaran: Hello! Good morning.
13 00:02:22.390 ⇒ 00:02:23.200 Samuel Roberts: Morning.
14 00:02:25.280 ⇒ 00:02:30.729 Uttam Kumaran: This bad habit of, like, waiting until the last second to go run and get a coffee.
15 00:02:30.730 ⇒ 00:02:35.750 Samuel Roberts: Somehow you’re always like, oh, yeah, I do the same thing. I’m like, oh, I didn’t realize I was out until I went to…
16 00:02:35.750 ⇒ 00:02:39.950 Uttam Kumaran: I’m like, oh, it’s like 58, okay, I’ll go. I’m gonna go get a coffee.
17 00:02:39.950 ⇒ 00:02:40.719 Samuel Roberts: Right, right?
18 00:02:41.380 ⇒ 00:02:43.689 Uttam Kumaran: Cool. How’s everyone doing?
19 00:02:44.570 ⇒ 00:02:46.590 Uttam Kumaran: Yeah, tell me about this class, dude.
20 00:02:47.700 ⇒ 00:02:51.199 Samuel Roberts: Oh, yeah, so, for everyone, I’m… I’m taking, like, a…
21 00:02:51.480 ⇒ 00:02:55.840 Samuel Roberts: I guess they call it, like, a continuing education thing that my college does.
22 00:02:56.190 ⇒ 00:03:10.820 Samuel Roberts: mostly for, like, retirees, I think, but I somehow managed to get on this list, because some of them are interesting, and this one is… I’m going to mess up the title if I don’t check it, because it’s a long title. But it is called Measuring the World, A Historical Look at
23 00:03:10.950 ⇒ 00:03:15.429 Samuel Roberts: at… oh, come on, I need more than that. A historical look at science.
24 00:03:15.550 ⇒ 00:03:19.120 Samuel Roberts: through the lens of instruments, apparatus, and clever devices. So…
25 00:03:20.160 ⇒ 00:03:26.509 Samuel Roberts: Yeah, in college, I… one of my majors was History and Vossoscience, so I am very interested in this stuff.
26 00:03:27.780 ⇒ 00:03:30.579 Samuel Roberts: But don’t get to do it very often, so I’m excited to, like.
27 00:03:30.730 ⇒ 00:03:34.659 Samuel Roberts: Take a course for a few weeks with an old professor and a bunch of retirees, so…
28 00:03:34.660 ⇒ 00:03:39.859 Uttam Kumaran: Is there, like, a canonical book or something for that genre, or, like, for that…
29 00:03:40.430 ⇒ 00:03:44.729 Samuel Roberts: There’s a few. I mean, I have… I have a bunch from back in college,
30 00:03:45.030 ⇒ 00:03:55.759 Samuel Roberts: But what’s interesting about the History and Philosophy of Science program at my school was it was just, like, a small program, and you basically just took classes in history and philosophy, and so it wasn’t, like, a dedicated
31 00:03:56.050 ⇒ 00:03:58.830 Samuel Roberts: like…
32 00:04:00.290 ⇒ 00:04:12.459 Samuel Roberts: I don’t know, it was split by a lot of things, so I read, like, lots of different stuff. I didn’t really have, like, a textbook necessarily for that topic, but… Okay. There are some. But yeah, history versus philosophy are, like, kind of intertwined, but also different, and, you know.
33 00:04:13.350 ⇒ 00:04:15.870 Samuel Roberts: It’s cool stuff. I find it fascinating.
34 00:04:16.140 ⇒ 00:04:18.629 Samuel Roberts: But yeah, I don’t get to do very much with it, so I’m excited to…
35 00:04:19.940 ⇒ 00:04:22.830 Samuel Roberts: Try to remember something from 10 plus years ago.
36 00:04:23.290 ⇒ 00:04:24.040 Uttam Kumaran: Nice.
37 00:04:24.670 ⇒ 00:04:31.800 Uttam Kumaran: Okay, cool. Well, let’s get started. So let’s talk about,
38 00:04:32.150 ⇒ 00:04:42.069 Uttam Kumaran: maybe let’s talk… start with default, just on my mind this morning. So, kind of things for default. I spoke with Caitlin yesterday. I think I owe,
39 00:04:42.170 ⇒ 00:04:53.100 Uttam Kumaran: Mustafa, I owe you a review of the PDL report, so I can get you that. The only other thing, Caitlin mentioned is she wanted to test people. Did you happen to see that note?
40 00:04:54.330 ⇒ 00:05:03.640 Mustafa Raja: Yes, I did see that message, and I did see that they want to increase baseline, fields also. So, we might…
41 00:05:03.940 ⇒ 00:05:10.720 Mustafa Raja: We might need to, rerun analysis for both Howard and…
42 00:05:11.230 ⇒ 00:05:18.440 Mustafa Raja: PDL, if they want to include these baseline, fields in those two analysis, too.
43 00:05:19.600 ⇒ 00:05:20.290 Uttam Kumaran: Okay.
44 00:05:21.440 ⇒ 00:05:24.379 Mustafa Raja: Yeah, so I, I would need a confirmation on that.
45 00:05:24.570 ⇒ 00:05:31.540 Mustafa Raja: And for person, yeah, I guess a list of actuals would help, so then I can test it.
46 00:05:32.100 ⇒ 00:05:32.720 Uttam Kumaran: Okay.
47 00:05:34.270 ⇒ 00:05:36.670 Mustafa Raja: I don’t think our leaders, people do.
48 00:05:37.040 ⇒ 00:05:39.439 Uttam Kumaran: Yeah, so PDL does people, so Aller doesn’t do.
49 00:05:39.440 ⇒ 00:05:39.810 Mustafa Raja: people.
50 00:05:40.150 ⇒ 00:05:42.429 Uttam Kumaran: So basically, what they want to do is, like.
51 00:05:42.620 ⇒ 00:05:46.370 Uttam Kumaran: They want to just test, like, 3 people from every company, basically.
52 00:05:48.140 ⇒ 00:05:53.030 Uttam Kumaran: I don’t know what the best way of doing that is.
53 00:05:53.870 ⇒ 00:05:54.640 Mustafa Raja: Yeah.
54 00:05:55.440 ⇒ 00:05:58.070 Mustafa Raja: Yeah, how are they identifying the three people?
55 00:05:59.070 ⇒ 00:06:00.769 Mustafa Raja: Are they executives or something?
56 00:06:01.440 ⇒ 00:06:04.840 Uttam Kumaran: Yeah, do you… do you… maybe the way you can start…
57 00:06:08.400 ⇒ 00:06:13.470 Uttam Kumaran: Is maybe just pick the 3 peop… like, just pick 3 people from the company.
58 00:06:13.740 ⇒ 00:06:19.689 Uttam Kumaran: I don’t know if there’s somewhere you can do this programmatically. And that way, we can use the same consistent 3 people across all
59 00:06:19.840 ⇒ 00:06:20.690 Uttam Kumaran: tests.
60 00:06:21.700 ⇒ 00:06:23.360 Mustafa Raja: Like, it’s gonna be hard for us to build.
61 00:06:23.360 ⇒ 00:06:26.810 Uttam Kumaran: a control people dataset, it’s gonna take a long time.
62 00:06:27.740 ⇒ 00:06:28.730 Mustafa Raja: Yeah.
63 00:06:29.550 ⇒ 00:06:37.419 Mustafa Raja: Also, and, would this be for all 300-something companies that we have actuals for?
64 00:06:37.600 ⇒ 00:06:38.310 Uttam Kumaran: Yes.
65 00:06:39.640 ⇒ 00:06:43.409 Mustafa Raja: Okay, so… so for 300 companies, we need 3 people each company.
66 00:06:43.740 ⇒ 00:06:44.400 Uttam Kumaran: Yes.
67 00:06:46.040 ⇒ 00:06:52.519 Mustafa Raja: Okay, and for the new Felagian baseline, do we want to rerun?
68 00:06:52.980 ⇒ 00:06:55.119 Mustafa Raja: The companies, or not?
69 00:06:55.250 ⇒ 00:06:56.649 Uttam Kumaran: For PDL? No.
70 00:06:57.930 ⇒ 00:06:58.620 Mustafa Raja: Okay.
71 00:07:00.310 ⇒ 00:07:01.670 Uttam Kumaran: Yeah, not for PDL.
72 00:07:03.180 ⇒ 00:07:05.700 Mustafa Raja: And for, neither for Aula, right?
73 00:07:06.070 ⇒ 00:07:06.750 Uttam Kumaran: Yes.
74 00:07:07.750 ⇒ 00:07:09.210 Mustafa Raja: Okay, yeah, that’s good.
75 00:07:10.920 ⇒ 00:07:11.610 Uttam Kumaran: Okay.
76 00:07:11.880 ⇒ 00:07:15.490 Uttam Kumaran: That’s great, let’s talk about…
77 00:07:15.810 ⇒ 00:07:27.999 Uttam Kumaran: So then I’m also getting… gonna work a little bit on getting the customer health metrics that we need to work on from Deanna there. Let’s talk… so Interlude, we’re setting a meeting with them tomorrow, so I think just wait on…
78 00:07:28.160 ⇒ 00:07:30.930 Uttam Kumaran: weight on everything. I think the only thing I asked Sam is.
79 00:07:31.080 ⇒ 00:07:35.019 Uttam Kumaran: If you could work on a little bit of, like, a summary deck?
80 00:07:35.480 ⇒ 00:07:40.859 Uttam Kumaran: I booked a meeting for tomorrow, so we have some more time, is that still okay?
81 00:07:40.860 ⇒ 00:07:43.690 Samuel Roberts: Yeah, yeah, I was working on it this morning, because I didn’t get to much yesterday, but…
82 00:07:43.690 ⇒ 00:07:44.400 Uttam Kumaran: Okay.
83 00:07:45.090 ⇒ 00:07:47.840 Samuel Roberts: I got the template and everything going, so…
84 00:07:47.840 ⇒ 00:07:48.680 Uttam Kumaran: Okay, great.
85 00:07:49.240 ⇒ 00:07:52.499 Uttam Kumaran: Do you want to link the template here? Because I have a feeling that…
86 00:07:52.600 ⇒ 00:07:55.089 Samuel Roberts: Someone’s gonna ask me for the template soon.
87 00:07:55.110 ⇒ 00:07:58.300 Uttam Kumaran: And I’m gonna be like, go check this ticket to go find it.
88 00:07:58.420 ⇒ 00:08:00.189 Samuel Roberts: The copy? Yeah.
89 00:08:00.190 ⇒ 00:08:01.460 Uttam Kumaran: The, fraud.
90 00:08:01.460 ⇒ 00:08:01.880 Samuel Roberts: Original?
91 00:08:01.880 ⇒ 00:08:04.350 Uttam Kumaran: You, like, yeah, the copy, the copy.
92 00:08:04.500 ⇒ 00:08:06.380 Samuel Roberts: Okay, yeah, I’ll do that,
93 00:08:06.490 ⇒ 00:08:08.670 Samuel Roberts: Cool. Title and everything, too. Cool.
94 00:08:09.580 ⇒ 00:08:25.080 Uttam Kumaran: Okay, let’s talk about insomnia. So, after yesterday, a couple updates, and I think one, Rico, let’s… can we get… Rico, if you don’t mind, I have… I may have a granola of it, but if we can write a summary of this meeting that Robert and I had.
95 00:08:25.080 ⇒ 00:08:29.599 Uttam Kumaran: with their data guy, that would be great, because I like to send some follow-ups.
96 00:08:29.650 ⇒ 00:08:33.169 Uttam Kumaran: But we are gonna get access to AWS,
97 00:08:33.360 ⇒ 00:08:38.300 Uttam Kumaran: Through IAM and through, API.
98 00:08:38.480 ⇒ 00:08:57.980 Uttam Kumaran: We are… we just got Holistics access. They don’t have strong opinions on, like, data warehouse, so we’re gonna… I’m gonna propose something, for us to start to store data. But at minimum, what we’re gonna do is, once I get access to AWS, I’ll provide… we’ll… we’ll create some tickets to create a,
99 00:08:58.480 ⇒ 00:09:08.700 Uttam Kumaran: SQL, like, experience for the analysts on the team to query, Braze user data, and then we’ll start piping in other data there.
100 00:09:08.910 ⇒ 00:09:16.210 Uttam Kumaran: So, we’ll work on those tickets and grooming today. Any…
101 00:09:16.450 ⇒ 00:09:21.339 Uttam Kumaran: updates on active tickets, so for these spikes, Robert, can I go to close these out?
102 00:09:21.570 ⇒ 00:09:24.539 Uttam Kumaran: Since we kind of, like, just know what the blockers are.
103 00:09:24.870 ⇒ 00:09:25.820 Robert Tseng: Yeah.
104 00:09:26.200 ⇒ 00:09:26.750 Uttam Kumaran: Cool.
105 00:09:28.410 ⇒ 00:09:35.729 Uttam Kumaran: And then I did not come to the analyst meeting yesterday, but how did this go? Any follow-ups for this?
106 00:09:35.900 ⇒ 00:09:48.250 Robert Tseng: Yeah, I already showed that out. I mean, like, the main feedback from the client is, like, oh, it still doesn’t really get to, like, the why that they want to see, which is, well, yeah, we’re just… my hands are tied, I don’t have more segments, so…
107 00:09:48.250 ⇒ 00:09:58.370 Robert Tseng: I think my biggest blocker is still… I can’t drill down by campaign, by product, by… I have no flexibility in customer segments, like, it just… I’m stuck at just… yeah.
108 00:09:58.750 ⇒ 00:10:00.739 Robert Tseng: Reporting at just trends.
109 00:10:01.330 ⇒ 00:10:05.869 Uttam Kumaran: Perfect. Okay, great. So I… I’m gonna… I’m basically gonna call that out when I send a note today.
110 00:10:06.150 ⇒ 00:10:06.680 Robert Tseng: Yeah.
111 00:10:06.680 ⇒ 00:10:08.610 Uttam Kumaran: Okay, great.
112 00:10:08.890 ⇒ 00:10:15.389 Uttam Kumaran: So, should I create, like, a… should I create, like, a V2 of this, basically, for, like, backlog?
113 00:10:16.280 ⇒ 00:10:17.390 Robert Tseng: Sure.
114 00:10:18.150 ⇒ 00:10:18.780 Uttam Kumaran: Okay.
115 00:10:21.430 ⇒ 00:10:24.030 Robert Tseng: We can, we can call it, like,
116 00:10:31.100 ⇒ 00:10:33.889 Robert Tseng: Yeah, it’s fine, we can just call it that, and I’ll… yeah.
117 00:10:55.950 ⇒ 00:10:56.690 Uttam Kumaran: Great.
118 00:11:01.980 ⇒ 00:11:08.800 Uttam Kumaran: Cool. Okay, anything in… progress, we can move, so…
119 00:11:09.290 ⇒ 00:11:16.400 Uttam Kumaran: I owe a response on the scorecard, like, SLA, so I’ll send that as well.
120 00:11:16.530 ⇒ 00:11:23.650 Uttam Kumaran: And then… Anything else here that we can… move forward.
121 00:11:24.150 ⇒ 00:11:27.799 Uttam Kumaran: Oh, so on the taxonomy work, so this is started, Robert, by the way.
122 00:11:27.800 ⇒ 00:11:28.190 Mustafa Raja: At least.
123 00:11:28.190 ⇒ 00:11:29.820 Uttam Kumaran: We kicked this off yesterday.
124 00:11:30.030 ⇒ 00:11:31.050 Robert Tseng: Okay, great.
125 00:11:32.620 ⇒ 00:11:36.520 Uttam Kumaran: So, Mustafa, what do you think… you think you’ll have something to review today?
126 00:11:37.110 ⇒ 00:11:42.269 Mustafa Raja: Yeah, now that I have also access to the, sheet.
127 00:11:42.400 ⇒ 00:11:49.860 Mustafa Raja: I should be able to, work on it and, have something, for Avish to review.
128 00:11:51.740 ⇒ 00:11:52.350 Uttam Kumaran: Okay.
129 00:11:56.940 ⇒ 00:11:58.119 Uttam Kumaran: Okay, great.
130 00:11:58.940 ⇒ 00:11:59.380 Casie Aviles: Hmm.
131 00:11:59.380 ⇒ 00:11:59.780 Uttam Kumaran: Okay.
132 00:11:59.780 ⇒ 00:12:07.960 Casie Aviles: You should be able to close 164 as well, or… this was a duplicate of… INS168.
133 00:12:08.360 ⇒ 00:12:10.300 Casie Aviles: Which is already done.
134 00:12:11.190 ⇒ 00:12:12.000 Uttam Kumaran: Okay, cool.
135 00:12:14.330 ⇒ 00:12:15.480 Uttam Kumaran: Okay, okay.
136 00:12:17.910 ⇒ 00:12:18.710 Uttam Kumaran: Okay.
137 00:12:19.080 ⇒ 00:12:29.599 Uttam Kumaran: Great. Anything else for insomnia? So I saw the note from Birdie this morning, I’ll send a thing, we’ll send follow-ups from our meeting yesterday. Anything else today?
138 00:12:30.750 ⇒ 00:12:34.979 Robert Tseng: Yeah, no, I guess I’m… I’m just trying to…
139 00:12:36.770 ⇒ 00:12:50.639 Robert Tseng: there’s… for segmentation, I can… I’m trying to move the needle on campaigns and… and wait, I don’t know what work you guys are doing in parallel, but, like, I’m just… I’m just trying to get to at least some level of segmentation today.
140 00:12:51.350 ⇒ 00:12:53.709 Robert Tseng: Okay. Well, yeah, I guess, like.
141 00:12:53.920 ⇒ 00:12:54.680 Uttam Kumaran: Okay.
142 00:12:55.230 ⇒ 00:12:59.919 Uttam Kumaran: Yeah, I feel like the only things that the team is working on is gonna be the taxonomy stuff.
143 00:13:00.130 ⇒ 00:13:06.100 Uttam Kumaran: And then, unless you have anything else you need for your active analysis, I don’t think we’re working on anything else.
144 00:13:06.100 ⇒ 00:13:16.240 Robert Tseng: Yeah, I mean, I think that what we were working on was, Braze… Braze data, right? Like, I… I pulled all the, like, kind of…
145 00:13:17.260 ⇒ 00:13:30.119 Robert Tseng: modeling user and campaign data in a way that’s usable for me to do daily drill downs. So, I don’t know where Mustafa left off on, like…
146 00:13:30.330 ⇒ 00:13:41.499 Robert Tseng: he, like, sent me some stuff about Brace’s API, but I don’t know, like, I’m just… what I’ll do instead is… I have both CSV exports, I’m just gonna end up, like.
147 00:13:42.220 ⇒ 00:13:45.559 Robert Tseng: working with those two tables myself, like, I feel like I…
148 00:13:46.800 ⇒ 00:13:47.909 Robert Tseng: I think that that’s kind of…
149 00:13:47.910 ⇒ 00:13:48.550 Uttam Kumaran: Where do those…
150 00:13:48.550 ⇒ 00:13:49.040 Robert Tseng: support.
151 00:13:49.040 ⇒ 00:13:51.449 Uttam Kumaran: Yeah, where did those CSV exports come from?
152 00:13:51.450 ⇒ 00:13:56.050 Robert Tseng: They came out of the UI, yeah. I also sent screenshots to Musappa on how to pull them, so…
153 00:13:56.720 ⇒ 00:14:10.760 Uttam Kumaran: I mean, Mustafa, like, I guess… Mustafa, what do you think? Should we… can you… can you just pull… because I would say if we have any data, I’ll go ahead and create you, like, a data warehouse. We can go ahead and create you, like, a data warehouse environment so you can run queries directly on top. Would that be helpful?
154 00:14:11.510 ⇒ 00:14:16.000 Robert Tseng: Yeah, I mean, if that’s kind of the direction we’re heading in already, like, we might as well just load those two tables in.
155 00:14:16.630 ⇒ 00:14:26.260 Mustafa Raja: Yes, so the only, benefit, API does give us on that is, we are able to pull more than 500,000 users.
156 00:14:26.420 ⇒ 00:14:40.490 Mustafa Raja: Braze UI has a limit on 500,000 users. Apart from that, in that CSV export, I did not see, purchases and campaigns, received.
157 00:14:40.880 ⇒ 00:14:45.530 Mustafa Raja: Rest of the data did, look, look, like, pretty similar.
158 00:14:46.690 ⇒ 00:14:51.919 Uttam Kumaran: So, is the… can we also just, like, can you pull 500,000 at a time, and you just get, like.
159 00:14:52.700 ⇒ 00:14:54.210 Uttam Kumaran: Can you do the last, like.
160 00:14:54.790 ⇒ 00:14:59.790 Uttam Kumaran: like, what would… is it… is it just by time-based, Robert? Like, so you can… we could just get, like, the last… Yeah. Okay.
161 00:15:00.070 ⇒ 00:15:04.150 Uttam Kumaran: So how much does 500,000… how much does, like, one CSV cover in terms of, like, days?
162 00:15:04.980 ⇒ 00:15:06.280 Uttam Kumaran: What does it require?
163 00:15:06.570 ⇒ 00:15:19.479 Robert Tseng: Well, there’s, like, 16 million, so this is… it’s not, like, something you can just, like, import real quickly. But, I mean, I already gave a… I already pulled out, like, 500,000. I think if we don’t know how to join them, then that’s the problem. Like, if we can join them, then…
164 00:15:19.630 ⇒ 00:15:27.819 Robert Tseng: like, yeah, like, I… I don’t really need, like, a list of 16 million that I can’t really map to, campaigns, so…
165 00:15:27.820 ⇒ 00:15:31.670 Uttam Kumaran: Okay, so I guess, Mustafa, do you want to trek… do you want to take a crack at this, or…
166 00:15:31.790 ⇒ 00:15:32.950 Uttam Kumaran: Actually.
167 00:15:33.170 ⇒ 00:15:42.310 Uttam Kumaran: Casey, if you have time, because I don’t think there’s any interlude work, and, like, I would… I would say this is a higher priority than ABC, do you want to take a crack at this?
168 00:15:43.190 ⇒ 00:15:44.480 Casie Aviles: Sure, yeah.
169 00:15:45.300 ⇒ 00:15:49.530 Uttam Kumaran: So, I think the kind of goal here…
170 00:15:49.530 ⇒ 00:15:50.790 Casie Aviles: is one…
171 00:15:50.790 ⇒ 00:15:56.749 Uttam Kumaran: like, pull… So, it’s campaigns, Products and users.
172 00:15:57.660 ⇒ 00:16:02.150 Robert Tseng: It’s just campaigns and users. Within the users, there… there is some…
173 00:16:02.510 ⇒ 00:16:08.120 Robert Tseng: something about products, but it’s only two fields. So, it’s like, it’s first product purchase, last product purchase.
174 00:16:08.120 ⇒ 00:16:08.850 Mustafa Raja: Yeah, yeah, yeah.
175 00:16:08.850 ⇒ 00:16:15.689 Robert Tseng: And that’ll work for me. Like, I just need to be able to bring those two things together.
176 00:16:33.650 ⇒ 00:16:35.929 Uttam Kumaran: Okay, cool, I think this is, accomplishable.
177 00:16:39.270 ⇒ 00:16:41.579 Uttam Kumaran: Casey, you think you have time for this today?
178 00:16:42.600 ⇒ 00:16:45.129 Casie Aviles: Yeah, yeah, I do have time for this.
179 00:16:45.650 ⇒ 00:16:46.320 Uttam Kumaran: Nice.
180 00:16:46.520 ⇒ 00:16:49.710 Uttam Kumaran: Okay, I mean, this is the direction we’re gonna head anyways. I don’t know…
181 00:16:50.170 ⇒ 00:16:57.160 Uttam Kumaran: like, I don’t know yet the scope of what data they have to make, like, a warehouse decision, but…
182 00:16:57.570 ⇒ 00:17:00.129 Uttam Kumaran: This is the easiest option, and…
183 00:17:00.510 ⇒ 00:17:06.989 Uttam Kumaran: If it’s mostly tabular data, then we have no need for, like, a snowflake or anything, it’s… so I would suggest we just go with this.
184 00:17:07.150 ⇒ 00:17:13.170 Robert Tseng: Yeah, no, whatever message you want me to send to Robert, just let me know. We can send email, we can send Slack, so it’s kind of…
185 00:17:13.390 ⇒ 00:17:14.690 Uttam Kumaran: Okay, okay, great.
186 00:17:18.140 ⇒ 00:17:20.960 Uttam Kumaran: Okay, perfect. Anything else on insomnia?
187 00:17:22.399 ⇒ 00:17:23.129 Robert Tseng: Nope.
188 00:17:24.220 ⇒ 00:17:24.780 Uttam Kumaran: Okay.
189 00:17:25.530 ⇒ 00:17:30.820 Uttam Kumaran: Cool. And then, on internal AI, I know this is in PR review.
190 00:17:31.170 ⇒ 00:17:36.290 Uttam Kumaran: Mustafa, your Omni dashboard, I have to give that a review as well.
191 00:17:36.550 ⇒ 00:17:43.760 Uttam Kumaran: And then, Sam, I think only you have, like, these two… Tickets…
192 00:17:43.760 ⇒ 00:17:44.980 Samuel Roberts: Yep.
193 00:17:45.650 ⇒ 00:17:52.350 Uttam Kumaran: anything else for me to update? Like, I’m fine if this just is ready by Sprint Review on Friday, so there’s no, like…
194 00:17:53.030 ⇒ 00:17:55.479 Uttam Kumaran: Crazy Rush, I’m gonna try to…
195 00:17:55.640 ⇒ 00:17:59.060 Uttam Kumaran: Do a little bit of work on some new features later today.
196 00:17:59.410 ⇒ 00:18:04.789 Uttam Kumaran: But, yeah, there’s not a huge rush on these.
197 00:18:05.880 ⇒ 00:18:06.490 Samuel Roberts: Okay.
198 00:18:07.390 ⇒ 00:18:11.549 Uttam Kumaran: The only, thing that came up is,
199 00:18:11.680 ⇒ 00:18:18.170 Uttam Kumaran: The marketing team wants to build, like, a LinkedIn message monitor for Robert and I’s account.
200 00:18:18.590 ⇒ 00:18:22.680 Uttam Kumaran: So there’s a bunch of stuff in this ticket around that.
201 00:18:22.860 ⇒ 00:18:30.430 Uttam Kumaran: Basically, I think that we could do, like, Appify, or…
202 00:18:30.640 ⇒ 00:18:33.310 Uttam Kumaran: Or we could do browser-based, or something.
203 00:18:33.420 ⇒ 00:18:52.250 Uttam Kumaran: or, like, you could think about an extension, but either way, like, Robert and I, we want to start to be able to do a couple things. One, link our LinkedIn messages to HubSpot deals. We want to be able to trigger alerts on, like, inbound messages, and… and this is a ticket from, from Ryan. So maybe…
204 00:18:52.600 ⇒ 00:19:01.779 Uttam Kumaran: Sam, do you want to give this a read? Yeah. I don’t want to bring it in until, like, it’s kind of clear what we need, but Ryan is the core…
205 00:19:02.560 ⇒ 00:19:04.640 Uttam Kumaran: For the client here for this one.
206 00:19:04.820 ⇒ 00:19:08.299 Samuel Roberts: Okay. Is he tagged anywhere down there?
207 00:19:08.300 ⇒ 00:19:10.039 Uttam Kumaran: Yeah, I’ll just…
208 00:19:10.240 ⇒ 00:19:12.340 Samuel Roberts: Just to make sure that if I have questions, I know where to go, yeah.
209 00:19:12.340 ⇒ 00:19:13.200 Uttam Kumaran: Yeah.
210 00:19:13.570 ⇒ 00:19:17.090 Uttam Kumaran: review, and… Ryan.
211 00:19:17.090 ⇒ 00:19:19.429 Samuel Roberts: Cool, perfect. Yeah, I’ll take a look.
212 00:19:19.430 ⇒ 00:19:19.950 Uttam Kumaran: Okay.
213 00:19:23.190 ⇒ 00:19:23.740 Samuel Roberts: Boop.
214 00:19:27.170 ⇒ 00:19:27.740 Uttam Kumaran: Okay.
215 00:19:29.150 ⇒ 00:19:31.579 Uttam Kumaran: Okay, great. Anything else?
216 00:19:32.760 ⇒ 00:19:41.729 Mustafa Raja: Yeah, for the, for the Omni dashboard, I was able to, transform the data. For operating, it was all raw data.
217 00:19:41.900 ⇒ 00:19:45.099 Mustafa Raja: And then there was an issue where I couldn’t match.
218 00:19:45.480 ⇒ 00:19:54.080 Mustafa Raja: Since, operating data does not give us any emails, so I imagine full name, and that only matched about 19 users.
219 00:19:54.200 ⇒ 00:20:01.559 Uttam Kumaran: Yeah, I’ll tell… I’ll tell you, like, what I find, and we can probably talk about it later today, but in operating,
220 00:20:02.290 ⇒ 00:20:07.640 Uttam Kumaran: like, I… if, for example, if I go to, like, me,
221 00:20:14.090 ⇒ 00:20:18.729 Uttam Kumaran: I don’t know… Like, this is probably what I need to put in.
222 00:20:19.210 ⇒ 00:20:19.910 Mustafa Raja: Yeah.
223 00:20:20.400 ⇒ 00:20:23.469 Uttam Kumaran: I don’t think we’ve filled it out for anybody, so I can go in and… or…
224 00:20:23.650 ⇒ 00:20:25.670 Uttam Kumaran: I could go in and do today, or…
225 00:20:26.130 ⇒ 00:20:28.299 Uttam Kumaran: You wanna go in and try it?
226 00:20:28.300 ⇒ 00:20:29.440 Mustafa Raja: Yeah, I can do that.
227 00:20:30.120 ⇒ 00:20:35.580 Uttam Kumaran: Okay, so let me give you, well…
228 00:20:45.660 ⇒ 00:20:54.990 Uttam Kumaran: Eventually, like, later this month, everyone will be in this platform, because this is where we’ll share allocations and stuff like that, but for now, I’ll just give you admin, and then… yeah, ideally, if you can update that and test.
229 00:20:56.060 ⇒ 00:20:56.510 Mustafa Raja: Yeah.
230 00:20:56.510 ⇒ 00:20:57.569 Uttam Kumaran: That would be ideal.
231 00:20:58.780 ⇒ 00:21:01.259 Mustafa Raja: Yeah, and Snowflake Access will be good.
232 00:21:01.260 ⇒ 00:21:01.910 Samuel Roberts: Interesting.
233 00:21:01.910 ⇒ 00:21:09.159 Mustafa Raja: Because… We would then be… we would then want to, push the emails to Snowflake also.
234 00:21:09.390 ⇒ 00:21:10.350 Uttam Kumaran: Yeah…
235 00:21:14.120 ⇒ 00:21:19.199 Uttam Kumaran: Okay, so let me, sign in, and I’ll invite you as well.
236 00:21:21.090 ⇒ 00:21:23.730 Uttam Kumaran: Sam, are you in Snowflake, by chance?
237 00:21:23.880 ⇒ 00:21:27.810 Samuel Roberts: I think I am, I was having…
238 00:21:28.250 ⇒ 00:21:32.610 Samuel Roberts: something… I was… oh, I was looking at the Andy, for ABC stuff that I believe was in there, so…
239 00:21:32.610 ⇒ 00:21:33.419 Uttam Kumaran: Oh, okay, yeah.
240 00:21:33.420 ⇒ 00:21:34.919 Samuel Roberts: I know I exist somewhere.
241 00:21:35.410 ⇒ 00:21:36.110 Uttam Kumaran: Okay, cool.
242 00:21:51.860 ⇒ 00:21:55.339 Uttam Kumaran: I guess I can use this…
243 00:21:56.210 ⇒ 00:21:58.210 Samuel Roberts: Does that have Google on it? That might just be…
244 00:21:58.210 ⇒ 00:22:06.080 Uttam Kumaran: It’ll… it’ll… it’ll ask you to do, what’s it called, or Passkey, but yeah.
245 00:22:06.080 ⇒ 00:22:06.940 Samuel Roberts: Oh, yeah.
246 00:22:06.940 ⇒ 00:22:08.470 Uttam Kumaran: We don’t have SSO set up.
247 00:22:13.840 ⇒ 00:22:14.700 Uttam Kumaran: Hmm…
248 00:22:14.700 ⇒ 00:22:15.400 Samuel Roberts: Excuse me.
249 00:22:15.400 ⇒ 00:22:15.910 Uttam Kumaran: Hmm.
250 00:22:27.720 ⇒ 00:22:32.280 Uttam Kumaran: Okay, I DM’d it to you to try to log in.
251 00:22:33.120 ⇒ 00:22:35.220 Uttam Kumaran: Pretty. Okay, perfect.
252 00:22:35.830 ⇒ 00:22:36.719 Mustafa Raja: I need a couple of minutes.
253 00:22:36.720 ⇒ 00:22:37.690 Uttam Kumaran: Yeah, yeah, go ahead.
254 00:22:37.900 ⇒ 00:22:44.100 Mustafa Raja: So for financial data, we decided on Polytomic, so I would need access to that too.
255 00:22:48.570 ⇒ 00:22:50.380 Uttam Kumaran: For the Google Sheet data.
256 00:22:50.650 ⇒ 00:22:54.689 Mustafa Raja: Yeah, yeah, so what we would want to do is,
257 00:22:55.020 ⇒ 00:23:02.890 Mustafa Raja: connect, connect this polyatomic data to, Snowflake, and then, pull it in Omni, right?
258 00:23:04.550 ⇒ 00:23:06.349 Uttam Kumaran: That is correct.
259 00:23:07.250 ⇒ 00:23:07.820 Mustafa Raja: Okay.
260 00:23:07.820 ⇒ 00:23:14.029 Uttam Kumaran: Well, no, no, Omni is sitting on Snowflake already.
261 00:23:15.110 ⇒ 00:23:16.480 Mustafa Raja: Yeah, so…
262 00:23:19.070 ⇒ 00:23:24.040 Uttam Kumaran: So, I guess my point is that if you want Google Sheet data, you have to pull that into Snowflake first.
263 00:23:26.350 ⇒ 00:23:27.050 Mustafa Raja: Hmm.
264 00:23:28.080 ⇒ 00:23:33.730 Mustafa Raja: So, so my understanding is, Polyatomic does that for us, pulls data.
265 00:23:34.270 ⇒ 00:23:40.519 Mustafa Raja: into Snowflake. Or if it doesn’t, then I can, oh, yeah. Oh, yeah, yeah. No, no, that’s what it does, yeah.
266 00:23:41.290 ⇒ 00:23:41.980 Mustafa Raja: Okay.
267 00:23:41.980 ⇒ 00:23:44.780 Uttam Kumaran: Sorry, I don’t know if I just, like, had a brain fart.
268 00:23:44.780 ⇒ 00:23:47.679 Samuel Roberts: Is this what’s coming from operating into Snowflake?
269 00:23:49.160 ⇒ 00:23:49.820 Samuel Roberts: Is that the idea?
270 00:23:49.820 ⇒ 00:23:56.560 Uttam Kumaran: So… They don’t have a native operating connector, so we built that in… Baxter?
271 00:23:56.770 ⇒ 00:23:57.940 Samuel Roberts: Okay, but…
272 00:23:57.940 ⇒ 00:24:03.290 Uttam Kumaran: The way Polyatomic works is, yes, they have, like, connectors for…
273 00:24:03.970 ⇒ 00:24:07.110 Uttam Kumaran: a bunch of stuff. So, for example, you can go add connection.
274 00:24:07.210 ⇒ 00:24:09.690 Uttam Kumaran: You can see, like, all the connections that they have.
275 00:24:10.080 ⇒ 00:24:13.209 Uttam Kumaran: And then… yeah, and then…
276 00:24:13.450 ⇒ 00:24:19.019 Uttam Kumaran: they’re not charging us for this, because I’ve sent them a bitload of business, so we have, like, a good…
277 00:24:19.020 ⇒ 00:24:19.570 Samuel Roberts: Right.
278 00:24:19.780 ⇒ 00:24:21.590 Uttam Kumaran: we’re getting, like, free ETL, so I don’t think it.
279 00:24:21.590 ⇒ 00:24:25.810 Samuel Roberts: Okay, cool. Yeah, I guess I wasn’t sure the difference between Polytomic and Dagster, use case-wise.
280 00:24:25.810 ⇒ 00:24:30.659 Uttam Kumaran: Yeah, really, it’s just, like, I can request them. They basically maintain data pipelines, so…
281 00:24:30.660 ⇒ 00:24:31.649 Samuel Roberts: Okay, that makes sense.
282 00:24:32.070 ⇒ 00:24:36.399 Uttam Kumaran: If it was on behalf of a customer, I would be like, yeah, go ahead and, like, build it for us, but…
283 00:24:37.190 ⇒ 00:24:40.390 Uttam Kumaran: I don’t know, I could do that if we end up needing to, but…
284 00:24:40.390 ⇒ 00:24:41.130 Samuel Roberts: Yeah, okay.
285 00:24:41.130 ⇒ 00:24:48.289 Uttam Kumaran: They’re already giving us, like, a bunch of free ETLs, so… Cool. Okay. Alright, guys.
286 00:24:49.030 ⇒ 00:24:55.540 Uttam Kumaran: Thanks so much, and then, just to confirm, Robert, can you make, like, insomnia
287 00:24:55.880 ⇒ 00:25:02.069 Uttam Kumaran: grooming later. Like, I know there’s a bunch of meetings today, so I want to try to, like, batch, but I do want to try to get
288 00:25:02.500 ⇒ 00:25:03.729 Uttam Kumaran: Like, a week.
289 00:25:04.060 ⇒ 00:25:09.299 Uttam Kumaran: Of tickets, or a week and a half of tickets, like, ready for next week in particular.
290 00:25:09.690 ⇒ 00:25:15.189 Uttam Kumaran: Does the times later work for everybody? Can I, like, merge things? Like, what can we do?
291 00:25:16.210 ⇒ 00:25:18.160 Robert Tseng: I’m looking…
292 00:25:19.290 ⇒ 00:25:23.699 Uttam Kumaran: It’s gonna be an… it’s an annoying amount of meetings later, so you just tell me, like, what’s possible.
293 00:25:26.020 ⇒ 00:25:30.200 Robert Tseng: Yeah, can we just… can I group, Insomnia and README, and then…
294 00:25:30.200 ⇒ 00:25:30.690 Uttam Kumaran: S.
295 00:25:30.810 ⇒ 00:25:31.590 Robert Tseng: Yeah.
296 00:25:32.120 ⇒ 00:25:33.809 Robert Tseng: And then image, I’m not…
297 00:25:36.310 ⇒ 00:25:40.349 Uttam Kumaran: Okay, I’ll talk to you, then I’m gonna group Insomnia, README, and EMH.
298 00:25:40.350 ⇒ 00:25:41.000 Robert Tseng: Yeah.
299 00:25:41.160 ⇒ 00:25:43.949 Uttam Kumaran: And I… it’s just… I’m just gonna sit there asking you questions, so you won’t.
300 00:25:43.950 ⇒ 00:25:46.130 Robert Tseng: Yeah, we don’t… the other guys don’t have to be there, I can just…
301 00:25:46.130 ⇒ 00:25:59.169 Uttam Kumaran: Okay. Okay. Okay, great. Awesome. Rico, can you make those changes so we can just do grooming? Does 12 work for everybody? Or, 1PM Eastern? Yeah. Okay, perfect. So let’s rock… we’ll knock through all that. Okay.
302 00:25:59.420 ⇒ 00:26:00.850 Uttam Kumaran: Alright, thank you guys.
303 00:26:02.070 ⇒ 00:26:02.999 Mustafa Raja: How’d you say?
304 00:26:03.290 ⇒ 00:26:03.950 Uttam Kumaran: Bye.
305 00:26:03.950 ⇒ 00:26:04.540 Mustafa Raja: Bye.