WEBVTT
00:00:00.550 --> 00:00:02.839
From little Mountain Sound in Vancouver, British Columbia.
00:00:02.990 --> 00:00:04.160
This is Lab Notes.
00:00:04.860 --> 00:00:07.200
And now here's your host, Russ Hamilton.
00:00:07.690 --> 00:00:08.038
Hello.
00:00:08.050 --> 00:00:09.640
Again, welcome to Lab Notes.
00:00:09.919 --> 00:00:11.400
I am your host, Russ Hamilton.
00:00:11.400 --> 00:00:14.000
Breathing good.
00:00:15.380 --> 00:00:24.160
At the end of every workshop we do, part of the homework participants are given is to practice when the stakes are low to stay connected with your cohort.
00:00:24.980 --> 00:00:31.000
And if you need some backup or have any questions about the communications practice, reach out to me.
00:00:32.158 --> 00:00:35.240
I wanna open this episode by re-extend that invitation.
00:00:35.978 --> 00:00:39.840
If you're still working out what it means to feel seen and heard in the world.
00:00:40.060 --> 00:00:54.759
If you have questions about how to apply the practice, or if you just need a little distraction from the chaos, the weirdness, you can email me at russ@connectionlaboratory.com or call me at(646) 780-9946.
00:00:55.369 --> 00:00:56.159
Let's have a chat.
00:00:56.270 --> 00:00:56.759
Totally.
00:00:57.899 --> 00:01:00.280
Our subject on the show today is learning.
00:01:01.380 --> 00:01:06.799
We have two guests whose specialty is learning, but with rather different takes and different missions.
00:01:06.801 --> 00:01:16.000
If you've done more than one module of Connection Lab, a common question we ask participants is what do you remember about the last workshop experience?
00:01:17.180 --> 00:01:18.760
I'm quick to say that this is not a test.
00:01:19.390 --> 00:01:19.879
It's fine.
00:01:19.881 --> 00:01:23.640
If the answer is you don't remember anything about our last workshop experience.
00:01:24.299 --> 00:01:30.640
We like to ask about what people remember, because it's a chance to bring up how we actually learn anything.
00:01:31.849 --> 00:01:33.000
Think about it for a moment.
00:01:33.189 --> 00:01:36.280
What do you know and how did you learn it?
00:01:37.189 --> 00:01:43.200
Immersion repetition, conscious pursuit, unfortunate accident.
00:01:44.500 --> 00:01:47.439
How do we learn as individuals?
00:01:47.579 --> 00:01:52.879
How do we learn as a community or as a business, chances are the business.
00:01:52.939 --> 00:01:57.280
You run the people in it need to get better at a variety of competencies.
00:01:57.579 --> 00:01:59.359
How do you diagnose a challenge?
00:01:59.459 --> 00:02:02.640
And then how do you decide what you want to get better at?
00:02:02.641 --> 00:02:03.280
Because of it?
00:02:04.700 --> 00:02:14.000
So much of our work revolves around raising our unconscious practice to consciousness without judgment or correction, and then deciding what we want to get better at.
00:02:14.300 --> 00:02:19.639
We say it like it's easy, but this simple set of questions can be quite a hike.
00:02:20.939 --> 00:02:27.400
As you listen to these conversations, I invite you to consider how you learn and what you learn.
00:02:28.569 --> 00:02:30.000
Let's introduce our first guest.
00:02:30.819 --> 00:02:36.080
He is the CEO of Kaskada, a company on the leading edge of machine learning.
00:02:36.080 --> 00:02:36.759
Specifically.
00:02:36.949 --> 00:02:41.439
They build behavioral machine learning models from event-based data.
00:02:41.710 --> 00:02:43.520
I'll let him tell you more about that.
00:02:44.229 --> 00:02:45.360
He's also a family, man.
00:02:45.430 --> 00:02:46.599
He's learning how to sail.
00:02:46.830 --> 00:02:48.120
He's got a lot going on, please.
00:02:48.121 --> 00:02:48.879
Welcome to the program- Davor Bonaci.
00:02:49.770 --> 00:02:51.800
First of all, how are you?
00:02:52.020 --> 00:02:52.599
Are you okay?
00:02:52.600 --> 00:02:53.479
Is the family okay?
00:02:54.030 --> 00:02:56.560
Things are generally okay.
00:02:57.280 --> 00:02:59.599
Things at the company are, okay,
00:02:59.889 --> 00:03:01.960
How's everybody doing at the organization?
00:03:02.360 --> 00:03:03.639
Are people generally healthy and happy?
00:03:03.639 --> 00:03:07.879
People doing well, we are going to a bunch of events.
00:03:08.289 --> 00:03:08.639
Right?
00:03:08.840 --> 00:03:20.919
Like, what we worked on last time was more around creating content and creating stories and talking about how to build a story arc from the beginning to the end.
00:03:21.680 --> 00:03:26.039
And, I think even, I don't know, five events in the last six weeks.
00:03:26.539 --> 00:03:26.759
Wow.
00:03:27.030 --> 00:03:28.319
Like trade shows and
00:03:29.080 --> 00:03:29.080
Yep.
00:03:29.349 --> 00:03:33.560
Like, Brian has run a three hour workshop on Monday.
00:03:34.330 --> 00:03:38.479
Charna spoke for half an hour on Tuesday and today is just Wednesday.
00:03:39.300 --> 00:03:46.039
So right, so these things are kind of happening and so people are doing good.
00:03:46.740 --> 00:03:48.800
Can we talk about your Connection Lab experience?
00:03:49.189 --> 00:03:49.919
Yeah, absolutely.
00:03:50.219 --> 00:03:51.319
I'm trying to remember.
00:03:51.320 --> 00:03:52.520
We met, how did we meet?
00:03:52.580 --> 00:03:53.319
We met through...
00:03:53.870 --> 00:03:54.159
Eric,
00:03:54.729 --> 00:03:55.080
Right?
00:03:55.789 --> 00:03:56.560
Eric Pinzur.
00:03:57.030 --> 00:03:57.319
Yeah.
00:03:57.669 --> 00:03:58.159
Amazing.
00:03:59.060 --> 00:03:59.680
We love Eric.
00:04:00.960 --> 00:04:10.800
Uh, and he recommended Connection Lab and me to you and you were of course, welcoming and inviting and, a bit skeptical
00:04:11.960 --> 00:04:12.719
I was skeptical?
00:04:13.300 --> 00:04:13.520
Yes.
00:04:14.580 --> 00:04:17.720
Is that not your, well, maybe you have a different memory.
00:04:17.920 --> 00:04:23.240
I just remember you and I having really good conversation about what are we gonna do and what is the value of this?
00:04:23.420 --> 00:04:24.838
And, you know, cause
00:04:25.120 --> 00:04:29.360
I'd say that I was not skeptical.
00:04:29.778 --> 00:04:30.160
O h, o kay.
00:04:30.240 --> 00:04:35.040
I asked people for how can we invest in us?
00:04:35.139 --> 00:04:35.600
And Eric could.
00:04:35.600 --> 00:04:43.079
It was not that I don't believe in these things.
00:04:44.199 --> 00:04:48.720
I believe in things, I was just doing my due diligence I guess.
00:04:49.000 --> 00:04:49.240
Or yes.
00:04:49.240 --> 00:04:49.680
Fantastic.
00:04:50.120 --> 00:04:50.120
Yeah.
00:04:50.120 --> 00:05:06.079
Well, I just know the journey you took because among the last conversations we had was a very impassioned, lovely conversation about the value of the work and how the team showed up and just thought it was amazing, but that was quite a journey from our first workshop to our last in-person experience.
00:05:06.269 --> 00:05:07.800
What do you remember about workshop Module one.
00:05:08.641 --> 00:05:11.319
We did workshop Module one and two in the same day.
00:05:12.430 --> 00:05:12.720
Yeah.
00:05:13.180 --> 00:05:17.480
So, I remember you beating me up
00:05:26.040 --> 00:05:27.680
You know, these things happen,
00:05:28.649 --> 00:05:31.759
These things happen, but that's what people remember first.
00:05:31.761 --> 00:05:32.079
Right.
00:05:32.220 --> 00:05:33.800
You know, how you made sure.
00:05:35.300 --> 00:05:39.639
So that's the first thing that I felt very good..
00:05:39.641 --> 00:05:52.079
You were able to get people to open up, you got, a nd fundamentally you helped me.
00:05:52.250 --> 00:06:05.319
And so maybe think of it this way- like many times when I think about myself, it's a lot about culture, right?
00:06:05.321 --> 00:06:15.680
Like I was not born here and culturally we do not put emphasis on feelings it's more like, what is t h is c r ap?
00:06:15.930 --> 00:06:16.278
Right.
00:06:16.279 --> 00:06:38.399
Like it's mo re, much more, yo u know, tell me what this is about, tell me the facts and culturally, like when you think about any, European cou ntry, e specially central towards Eastern part of Europe, we don't talk about how we feel.
00:06:39.060 --> 00:06:41.360
We don't do any of these things.
00:06:41.939 --> 00:06:47.240
And so you know, I think about my journey, right?
00:06:47.240 --> 00:06:59.800
Like these are the things that, you know, before the last few years I was never doing, and the society would tell me that none of these things are appropriate to do.
00:07:00.699 --> 00:07:23.759
And so, you know, over the last decade or more, I've been growing in this way and that's why I like to go last or avoid these things, when things are, are happening, because you know, i t's hard.
00:07:24.389 --> 00:07:24.680
Yeah.
00:07:25.139 --> 00:07:37.319
And, you a re able to in a couple hours, on multiple locations, able to get people to open up to be creative and to fundamentally learn.
00:07:38.360 --> 00:07:38.360
Yeah.
00:07:39.459 --> 00:07:47.160
And, then to connect and that's, I think is super great.
00:07:47.899 --> 00:07:53.160
And especially now, when everything is remote, we still don't have the office, we don't see each other.
00:07:53.850 --> 00:07:54.199
Right.
00:07:54.201 --> 00:07:57.439
The impact of these things is tremendous.
00:07:58.230 --> 00:07:58.720
Amazing.
00:07:59.589 --> 00:08:10.839
What do you remember about taking the stage with what you want your leadership legacy to be, and to be standing out on the deck in the hotel and facing your group and connecting with them or not?
00:08:12.949 --> 00:08:13.240
Yeah.
00:08:13.300 --> 00:08:15.399
So, that is when you beat me up.
00:08:16.360 --> 00:08:26.279
so that was hard for me.
00:08:27.620 --> 00:08:41.360
Number one, it was hard for me because of my role and the way I show up in a way...
00:08:41.860 --> 00:08:59.720
like you can't a s a leader, you can't distinguish that I am just a participant just like you- I don't get the ability ever, legally, or otherwise to take that h at off.
00:09:00.700 --> 00:09:13.080
And so it, i t wa s, it was hard for me because, you know, if I say something, t h e re ar e co nsequences, right?
00:09:13.110 --> 00:09:17.039
Lik e pe ople wil l sa y that I said it, tha t th e CEO said it, right.
00:09:17.041 --> 00:09:19.480
And these are not my values and wha tnot.
00:09:19.649 --> 00:09:20.000
R ight.
00:09:20.100 --> 00:09:23.639
And so it comes down to what are my personal values?
00:09:24.230 --> 00:09:27.558
What are the values of Kaskada and how they relate to each other?
00:09:28.399 --> 00:09:34.200
so, let the record show that it's challenging and nerve-racking, and you've gotta be careful.
00:09:35.178 --> 00:09:37.799
And were you careful and what happened?
00:09:38.759 --> 00:09:39.320
I was careful.
00:09:39.960 --> 00:09:39.960
Yeah.
00:09:39.960 --> 00:09:44.919
Uh, you wanted me to be less careful, I think, uh,,
00:09:46.700 --> 00:09:47.240
I'm a rebel,
00:09:48.399 --> 00:09:52.399
Uh, uh, right, but you know, it was great.
00:09:53.721 --> 00:09:57.039
I truly think it was great.
00:09:58.389 --> 00:10:03.840
What was the, the reaction of people was very, very good.
00:10:04.230 --> 00:10:04.519
Yeah.
00:10:04.860 --> 00:10:08.840
It really was because they were a bit hard on you at times too.
00:10:08.860 --> 00:10:12.678
The first time you did your read through, you got some, shall we say feedback?
00:10:13.580 --> 00:10:13.799
Yes.
00:10:14.840 --> 00:10:27.000
But I mean, I wanna, I wanted to be done or I wanted to go through it rather quickly and they wanted more
00:10:29.620 --> 00:10:30.879
But they gave you great feedback.
00:10:30.759 --> 00:10:32.960
And, then you did it a second time.
00:10:33.678 --> 00:10:33.678
Yep.
00:10:33.879 --> 00:10:34.120
I did.
00:10:34.120 --> 00:10:37.558
And you prioritized connecting with the audience over the content?
00:10:38.259 --> 00:10:38.480
Yes.
00:10:39.139 --> 00:10:41.240
And then the feedback went through the roof.
00:10:42.080 --> 00:10:42.080
Yep.
00:10:42.659 --> 00:10:46.279
And then you and I had a conversation after that, like what's up with that?
00:10:47.600 --> 00:10:49.120
Mm indeed.
00:10:49.899 --> 00:10:51.759
And then we did Module two the same day.
00:10:52.428 --> 00:10:52.720
Yeah.
00:10:53.190 --> 00:10:54.480
Module Two- Call to action and Demand.
00:10:54.740 --> 00:11:01.039
Now that the audience feels seen and heard, can we turn making demands on each other trust building experiences instead of trust, diminishing ones?
00:11:01.799 --> 00:11:01.799
Hmm.
00:11:02.590 --> 00:11:03.639
What scene did you do?
00:11:04.620 --> 00:11:07.399
The Goodwill Hunting one.
00:11:07.700 --> 00:11:08.279
Oh, right.
00:11:09.279 --> 00:11:10.120
Do you remember your demands?
00:11:10.240 --> 00:11:11.240
Do you remember your scene partner?
00:11:12.159 --> 00:11:13.320
I remember my scene partner.
00:11:14.860 --> 00:11:23.440
It was more like,"let me be", o r like"go somewhere" or like"realize your potential" versus"let me be"
00:11:23.940 --> 00:11:24.159
Yes.
00:11:24.190 --> 00:11:25.120
Something like that.
00:11:25.419 --> 00:11:25.639
Yes.
00:11:25.640 --> 00:11:25.840
Yes.
00:11:25.899 --> 00:11:26.120
Yes.
00:11:26.899 --> 00:11:36.320
And did any other performances stand out for you as you watched your teams perform these scenes and emphasize calls to action and demands on each other?
00:11:37.100 --> 00:11:38.360
No, I liked all of them.
00:11:39.919 --> 00:11:49.039
I mean, o ut o f the four movies, the W olf from Wall Street, I like that movie.
00:11:49.379 --> 00:11:52.120
So that, one's the one that I remember the most.
00:11:52.509 --> 00:11:52.799
Yeah.
00:11:53.820 --> 00:11:59.399
because of the movie itself, but there are plenty, like all of them were quite good.
00:11:59.700 --> 00:12:01.799
And the most recent Module we did was Storytelling.
00:12:02.029 --> 00:12:06.039
That was our first in-person workshop at Connection Lab in two and a half years down in Seattle.
00:12:07.000 --> 00:12:07.000
Mm.
00:12:07.820 --> 00:12:15.519
And it was absolutely magnificent to be in the same room with your people who were just so passionate and so invested and took such good care of each other.
00:12:16.840 --> 00:12:17.519
I concur.
00:12:18.029 --> 00:12:20.080
What was the takeaway from the storytelling experience?
00:12:20.960 --> 00:12:29.720
I mean everything we do comes down to how well we are able to communicate it.
00:12:30.330 --> 00:12:30.678
Right.
00:12:30.740 --> 00:12:39.159
You can do great work, but if you're unable to communicate it, it will not make an impact.
00:12:40.259 --> 00:12:51.759
And so I think, focusing on communicating it well is critical to success.
00:12:52.820 --> 00:13:06.919
And I think, you know, unlocking the next level of influence in any industry depends on being able to communicate it effectively.
00:13:07.500 --> 00:13:07.720
Yes.
00:13:08.178 --> 00:13:12.840
And in the same way, the story tellers are doing it in the movies.
00:13:13.700 --> 00:13:26.600
It is probable that the same type of skills or the same type of engagement is needed in technical content or beneficial in technical content too.
00:13:27.299 --> 00:13:27.519
Yes.
00:13:28.220 --> 00:13:30.879
And, I think you all can learn from that.
00:13:31.779 --> 00:13:36.480
And, there are people who do this better.
00:13:37.419 --> 00:13:45.320
There are people who, you know, can learn from it and when the entire company goes through it, I think we become better communicators.
00:13:47.178 --> 00:13:57.960
Has that shown up in the new events that you're doing as you continue to market Kaskada are the stories you are telling about the organization changing, shifting, improving?
00:13:58.840 --> 00:14:29.720
I mean that's a hard question to answer,, directly, we certainly spent a lot of time recently building all kinds of presentations decks and, and the like And, it is very likely that the various thinking about the story arc and how the audience will react and how to keep them engaged has come up, you know?
00:14:29.960 --> 00:14:29.960
Yeah.
00:14:31.200 --> 00:14:31.440
Excellent.
00:14:31.929 --> 00:14:36.000
We're talking to Davor Bonaci the CEO of Kaskada.
00:14:36.580 --> 00:14:40.399
So what is Kaskada trying to get better at these days?
00:14:40.201 --> 00:14:40.399
What competencies is the organization trying to get better at?
00:14:45.940 --> 00:14:46.720
So many things?
00:14:47.399 --> 00:14:52.519
I just don't know where to start from, from this angle.
00:14:53.799 --> 00:15:06.919
I t hink organizationally mm-hmm,, I, I think the first, when I think about last two years, since the COVID hit, I think the first six months was easy.
00:15:08.029 --> 00:15:08.320
Yeah.
00:15:09.379 --> 00:15:11.720
And then the second six months was terrible.
00:15:11.720 --> 00:15:17.919
or hard or difficult right after we spent the credit built before COVID- Right.
00:15:18.980 --> 00:15:27.919
We spent it through the first six months and then the difficulty began and we had to change a lot to operate in this world.
00:15:28.899 --> 00:15:32.759
And, in the second year of COVID, we have figured out how to do it.
00:15:34.179 --> 00:15:42.720
And, so I think we are working well today and that we have figured out how to work well, remotely and effectively.
00:15:43.139 --> 00:15:50.720
We have found repeatable patterns that work, offsite and doing different things at d ifferent t imes.
00:15:51.220 --> 00:15:53.679
And, I think i t has worked quite well for us.
00:15:57.830 --> 00:16:05.629
I d o think that we wi ll h ave the next set of issues with the next scaling fa ctor.
00:16:07.110 --> 00:16:18.590
I think we will have to un lock s ome new things there, b ut like, you know, for the time being at the current scale, things seems to be working.
00:16:19.690 --> 00:16:22.789
We are moving ra ther q uickly.
00:16:24.250 --> 00:16:43.500
We do want to get better, I think, more around th e c ontent and kind of make sure we focus on influence in the industry as much as we focus on building.
00:16:44.279 --> 00:16:47.620
You're at the forefront- Kaskada is at the forefront of machine learning.
00:16:47.679 --> 00:16:48.259
Is that correct?
00:16:49.159 --> 00:16:49.379
Yes.
00:16:49.730 --> 00:16:56.299
Yeah, that's kind of an extraordinary field to be in, especially from a layman out in the bleachers kind of watching.
00:16:58.039 --> 00:17:07.858
So it's interesting is, is your learning and the organizational learning similar to the product and how machines learn and is there, is there parallel,
00:17:09.039 --> 00:17:12.180
There are all kinds of learning algorithms.
00:17:13.000 --> 00:17:18.059
We tend to focus on building behavioral machine learning models from event based data.
00:17:18.480 --> 00:17:24.539
And those models tend to be on a more perhaps simpler side.
00:17:25.299 --> 00:17:26.539
the algorithm itself.
00:17:26.559 --> 00:17:30.460
The difficulty tends to be, you know, the data that you feed it.
00:17:30.710 --> 00:17:31.059
Right.
00:17:31.680 --> 00:17:45.059
So those algorithms are easier to intuitively understand, but it's all about the quality of the data that you feed it and how you feed it.
00:17:46.279 --> 00:17:51.799
And then, you know, humans learn slightly differently.
00:17:52.240 --> 00:18:00.920
I think we learn ideally through mistakes of others, but more frequently through mistakes of our own.
00:18:01.759 --> 00:18:23.519
Uh um, though there are more machine learning algorithms that are less supervised and more reinforcement learning or others that, that are trying things out and seeing what happens.
00:18:24.049 --> 00:18:24.400
Right.
00:18:25.039 --> 00:18:28.480
I love that you're in the learning business and that you're practicing, learning all the time.
00:18:28.950 --> 00:18:29.240
Yeah.
00:18:29.549 --> 00:18:31.279
What are you trying to get better at these days?
00:18:32.519 --> 00:18:32.519
Um,
00:18:33.549 --> 00:18:34.039
Sailing,
00:18:34.900 --> 00:18:36.799
Oh, sailing, uh, that
00:18:36.799 --> 00:18:37.160
Counts
00:18:37.868 --> 00:18:38.160
That.
00:18:38.490 --> 00:18:39.160
Absolutely.
00:18:40.400 --> 00:18:42.480
Um, I'm thinking, um,
00:18:43.118 --> 00:18:43.680
I believe you
00:18:44.519 --> 00:18:58.519
, I I'd say, you know, generally always kind of scaling myself and building and processes that can happen without me being in the loop.
00:18:59.470 --> 00:19:01.839
Amazing making yourself obsolete.
00:19:02.579 --> 00:19:02.799
Yes.
00:19:03.450 --> 00:19:03.799
Right.
00:19:03.800 --> 00:19:07.680
And so that's, you know, that's always I guess the goal.
00:19:07.681 --> 00:19:14.880
And when certain things are figured out, then, you can do that.
00:19:15.019 --> 00:19:18.440
And it's more difficult before certain things are figured out.
00:19:18.900 --> 00:19:22.799
And so you kind of, and as soon as you do one thing, the next thing comes.
00:19:23.190 --> 00:19:29.160
And it feels like whatever struggle to solve the problem and then be able to delegate it.
00:19:29.368 --> 00:19:29.720
Right.
00:19:30.140 --> 00:19:31.279
You know, infinite cycle.
00:19:31.900 --> 00:19:36.759
Is your mission to make yourself obsolete?
00:19:36.819 --> 00:19:38.279
Is that industry specific?
00:19:38.858 --> 00:19:40.680
Do other CEOs feel the same way?
00:19:40.681 --> 00:19:43.680
Could we all learn a little bit from that objective?
00:19:43.819 --> 00:19:47.319
Oh, I think there are all kinds of leaders in all kinds of CEOs.
00:19:47.460 --> 00:19:54.039
And I don't think there are people that have leaders that have hands in everything.
00:19:56.789 --> 00:20:02.839
It's certainly successful for many of them in various ways and who are we to judge?
00:20:03.900 --> 00:20:22.358
So I do attempt to delegate as much as I can, but I do think there is also a time when you can delegate and a time when you cannot, there's also mistakes that can be made when things are delegated too early.
00:20:23.079 --> 00:20:28.319
Mm-hmm before things are figured out, because it's really hard to figure out actually to whom to delegate it to.
00:20:28.700 --> 00:20:33.358
And it was the right profile of a person you need for a particular delegation task.
00:20:34.320 --> 00:20:41.118
And so t he figuring those things out is is not always obvious, right.
00:20:41.368 --> 00:20:44.279
Especially when you're not an expert in a particular area.
00:20:44.490 --> 00:20:44.839
Right.
00:20:44.840 --> 00:20:56.839
Think when you're an expert and you have seen everything there, then delegation tends to be easy, but when you are leading a wide variety of functions, you are not as good in all the functions as you are in others.
00:20:57.460 --> 00:21:04.759
And it's much harder to figure out what to delegate and to whom in an area that you are not an expert in.
00:21:05.190 --> 00:21:21.079
And, I think that kind of in leadership, there is like being an expert in being a leader of others in an area that you know everything about, there you have a kind of the ability to do, you have an unfair advantage because you know everything that's going on or you've grown from that area or something.
00:21:21.080 --> 00:21:35.079
Then that kind of leading in leading people in other areas that you have not grown through is a different challenge.
00:21:35.080 --> 00:21:44.039
But it's a, you know, you just have, it's a similar type of problem where you just don't have the inherent, unfair advantage.
00:21:45.019 --> 00:21:57.358
And I think those are, those have to be mastered and when mastered and then, it becomes easier.
00:21:58.180 --> 00:21:58.400
Yes.
00:21:58.940 --> 00:22:00.680
No, my knowledge will always be finite.
00:22:01.259 --> 00:22:01.480
Yes.
00:22:01.700 --> 00:22:03.640
So I can't know everything.
00:22:03.980 --> 00:22:04.480
So I have to...
00:22:04.618 --> 00:22:12.720
I think knowledge, if I can, you know, steal this quote from somebody, knowledge is knowing how much you don't know.
00:22:12.970 --> 00:22:13.319
Right.
00:22:14.108 --> 00:22:14.400
Yeah.
00:22:15.019 --> 00:22:17.720
And so you're a community builder.
00:22:18.599 --> 00:22:19.480
I like to think so.
00:22:19.750 --> 00:22:20.039
Yeah.
00:22:21.269 --> 00:22:25.160
I've experienced your community and I think you should be pleased.
00:22:25.608 --> 00:22:26.079
Thank you.
00:22:26.220 --> 00:22:28.759
If somebody's interested in Kaskada, what do they do?
00:22:28.819 --> 00:22:30.720
How do they contact you machine learning,
00:22:31.789 --> 00:22:32.799
Kaskada.com,
00:22:33.549 --> 00:22:34.240
Kaskada.com.
00:22:35.220 --> 00:22:48.720
Then, reach out to us is about building behavioral machine learning models from activity data, right from event streams, from transaction streams.
00:22:48.721 --> 00:23:15.720
When you have activity of some kind describes- this person a t this time, d id that- and you want to build behavioral machine learning models that predict engagement, interest, action, churn anything about th e b ehavior of a person, that is a really good, valuable use case predicting lifetime customer value, prediction, churn, an d r etention.
00:23:16.329 --> 00:23:21.039
These types of use cases can be extremely valuable in a b usiness.
00:23:21.589 --> 00:23:21.880
Nice.
00:23:22.858 --> 00:23:23.680
Two more questions.
00:23:23.900 --> 00:23:27.200
Are you gonna listen to this interview when I, when I release it?
00:23:27.440 --> 00:23:27.440
No.
00:23:27.589 --> 00:23:27.880
Okay.
00:23:28.380 --> 00:23:30.920
No, I have never watched the video of myself.
00:23:30.921 --> 00:23:34.720
Like there's plenty on YouTube, or from various conferences.
00:23:35.400 --> 00:23:35.400
Yes.
00:23:35.599 --> 00:23:37.200
I don't watch any of them.
00:23:40.700 --> 00:23:42.118
I'm not gonna watch this one either.
00:23:42.470 --> 00:23:43.079
Fantastic.
00:23:44.140 --> 00:23:46.400
Do you have any questions for me?
00:23:48.440 --> 00:23:49.039
Um, no.
00:23:49.720 --> 00:23:49.799
00:23:53.858 --> 00:23:55.559
One of my favorite no's ever.
00:23:56.599 --> 00:23:56.640
.
00:23:58.440 --> 00:24:00.920
I mean, I have a million questions...
00:24:07.420 --> 00:24:09.599
Except maybe when do we get to work together again?
00:24:10.220 --> 00:24:10.440
Yes.
00:24:10.890 --> 00:24:11.240
Right.
00:24:12.390 --> 00:24:13.160
That works for me.
00:24:14.279 --> 00:24:15.039
That works for me too.
00:24:15.839 --> 00:24:17.400
Davor Bonaci, thank you so much for being on the show.
00:24:17.599 --> 00:24:19.039
I look forward to our next engagement.
00:24:19.069 --> 00:24:23.440
Good luck on the water with your sailing and best of the family and the community.
00:24:23.460 --> 00:24:26.160
And I look forward to hearing about great success at Kaskada.
00:24:26.839 --> 00:24:26.960
All right.
00:24:27.250 --> 00:24:27.759
Thank you.
00:24:27.960 --> 00:24:27.960
Rest
00:24:28.789 --> 00:24:34.720
Davor Bonaci, the CEO of Kaskada- machine learning specialists and sailing student.
00:24:34.789 --> 00:24:35.960
Hilarious, man.
00:24:36.259 --> 00:24:40.480
If anyone needs permission to say no more often, Davor is modeling that for you.
00:24:40.910 --> 00:24:41.559
Very cool.
00:24:42.460 --> 00:24:43.759
You're listening to Lab Notes.
00:24:44.069 --> 00:24:55.720
Part of the Connection Lab network for more information about our workshops and executive development programs, email us at info@connectionlaboratory.com or go to our website connectionlaboratory.com.
00:24:56.460 --> 00:25:01.240
On this episode of Lab Notes, we're diving deep into the nature of learning the power of it.
00:25:01.980 --> 00:25:04.279
Our next guest is Jayme Alston.
00:25:04.779 --> 00:25:07.079
The company she leads is called BloomTech.
00:25:07.829 --> 00:25:14.079
It's an e-learning school that is helping people break out of poverty with accessible education in the technology field.
00:25:14.410 --> 00:25:20.960
BloomTech is changing how education is funded and is making technology education way more affordable.
00:25:21.759 --> 00:25:22.599
I love this business.
00:25:22.858 --> 00:25:27.599
I'm gonna let her tell you all about it and how her Connection Lab program fits into the picture.
00:25:27.819 --> 00:25:29.440
Please welcome Jayme Alston.
00:25:29.240 --> 00:25:31.640
Jayme, welcome to Lab Notes.
00:25:31.750 --> 00:25:33.440
It's so good to have you on the show.
00:25:33.618 --> 00:25:35.039
I'm always glad to see you.
00:25:35.819 --> 00:25:40.640
You are at BloomTech and your title on LinkedIn says you're the Head of People
00:25:41.589 --> 00:25:42.240
That is correct.
00:25:42.990 --> 00:25:43.279
I love that.
00:25:44.759 --> 00:25:45.319
Happy to be here.
00:25:45.950 --> 00:25:48.000
Tell me about BloomTech before we go anywhere.
00:25:48.000 --> 00:25:48.480
What is BloomTech?
00:25:49.589 --> 00:25:54.160
Well, this is the perfect time actually for writing an elevator speech about it.
00:25:54.220 --> 00:25:55.599
So, good time to test that out.
00:25:55.601 --> 00:25:55.880
Nice.
00:25:56.059 --> 00:25:58.839
BloomTech is an eLearning school.
00:25:59.180 --> 00:26:02.920
We're focusing on really changing the shape of poverty.
00:26:03.180 --> 00:26:07.240
We want to make education accessible for everyone.
00:26:07.900 --> 00:26:13.440
And, in order to do that, we are teaching people how to be developers, full stack, data science.
00:26:13.220 --> 00:26:23.559
We are coming out with blockchain, working on Amazon, all of those things, in order to make that not be a huge college debt.
00:26:23.910 --> 00:26:29.000
Right now, people are going to school for four years and coming out a hundred of thousand dollars in debt.
00:26:29.059 --> 00:26:31.160
For us, you pay as you go.
00:26:31.819 --> 00:26:41.519
It i s a fraction of the cost and i t i s a lot easier for everyone to actually get that type of s kill s et using our formula.
00:26:42.279 --> 00:26:42.279
Amazing.
00:26:43.019 --> 00:26:44.759
Is it a specialized education?
00:26:44.819 --> 00:26:47.240
Is it, is it, is it a broad education?
00:26:47.240 --> 00:26:48.000
What kind of things?
00:26:48.069 --> 00:26:49.960
What kind of education is offered at bloom tech?
00:26:50.950 --> 00:26:56.400
Well, we teach full stack development, so it's about nine months of sorts.
00:26:56.401 --> 00:27:03.039
We are moving to another platform where it's a little bit more flexible for individuals to join, but we'll teach you full stack development.
00:27:03.040 --> 00:27:06.880
So you could go out and get a career really once you've finished our program.
00:27:06.641 --> 00:27:12.920
And, same thing with Amazon, we were doing the same thing there with backend.
00:27:13.140 --> 00:27:16.039
We're re-launching blockchain soon.
00:27:16.559 --> 00:27:20.880
Mm-hmm so that is our new thing coming up, we believe in, late Q2.
00:27:21.460 --> 00:27:27.319
So we want to teach people how to get into these tech fields and stay there and make that money.
00:27:27.539 --> 00:27:30.240
So if you don't wanna be a waitress anymore, go to BloomTech.
00:27:30.920 --> 00:27:30.920
00:27:31.559 --> 00:27:31.559
Amazing.
00:27:32.640 --> 00:27:36.519
So if somebody's listening and is like, wait, this is really interesting.
00:27:36.520 --> 00:27:37.160
Where should I go?
00:27:37.161 --> 00:27:37.680
Is it BloomTech.com?
00:27:38.441 --> 00:27:39.240
Where should somebody go?
00:27:39.640 --> 00:27:41.200
There is- www bloomtech.com.
00:27:41.839 --> 00:27:42.319
Amazing.
00:27:42.470 --> 00:27:42.759
Okay.
00:27:42.940 --> 00:27:44.400
So we'll repeat that at the end.
00:27:45.099 --> 00:27:48.118
It's a really it's, is it mission driven business?
00:27:48.980 --> 00:27:50.039
That's why we are here, honestly.
00:27:50.040 --> 00:28:07.400
The part of the programming that I was literally just typing out was that our job- we showed a map of poverty, I believe was last year- and we showed exactly where the upward mobility was lacking within the United States.
00:28:07.400 --> 00:28:11.559
Looking at that, and what we do, our charge was to change that.
00:28:12.220 --> 00:28:31.480
So the places where individuals who were born in the eighties still are doing the same work, or, some of that, blue collar work that they were doing that their parents were doing and are stuck in that generational gap- We want to be able to effectively change that by giving this education and making it available to anyone.
00:28:32.180 --> 00:28:34.519
So yeah, we are all behind that mission.
00:28:34.520 --> 00:28:37.240
Everybody here wakes up, eats, breathes that mission.
00:28:37.299 --> 00:28:38.359
We love our learners.
00:28:38.361 --> 00:28:40.920
We try to make sure we have everything ready for our learners.
00:28:41.380 --> 00:28:45.920
And we are really great at placing our learners as well in these roles.
00:28:46.180 --> 00:28:48.759
So it's, you know, it's a great job.
00:28:49.039 --> 00:28:52.119
I love this job because I can see how we change people.
00:28:53.119 --> 00:28:53.359
Excellent.
00:28:53.390 --> 00:28:53.680
Okay.
00:28:54.059 --> 00:28:55.920
So how did we meet?
00:28:55.940 --> 00:28:57.839
We met through our mutual friend, Mark Frein.
00:28:57.910 --> 00:29:01.119
Tell me about your conversation with him and how did we meet?
00:29:01.789 --> 00:29:05.200
Well, Mark was my CPO here at BloomTech for a while.
00:29:05.309 --> 00:29:09.240
And we were talking about development and things that I wanted to work on.
00:29:09.339 --> 00:29:12.519
And he said, you know, I know somebody who would be amazing.
00:29:12.900 --> 00:29:16.559
And, next thing you know, I was connected to you and here I am,
00:29:16.960 --> 00:29:18.000
amazing, amazing.
00:29:18.099 --> 00:29:21.599
And we've done three modules and a bunch of coaching.
00:29:22.180 --> 00:29:32.559
I've sent you the, the prompt sheet with the Six Box model, which is available on our website www.connectionlaboratory.com, the Six Box m odel- three primary questions, three primary relationships.
00:29:33.059 --> 00:29:40.680
What's top of mind for you today on your practice with everything we've done and talked about a nd all the experiential learning through Connection Lab,
00:29:41.480 --> 00:29:43.440
I think it's just continually practicing it.
00:29:43.460 --> 00:29:49.079
So it's now becoming part of my subconscious, which is good, or I guess it's good.
00:29:49.080 --> 00:29:49.279
Right.
00:29:49.480 --> 00:29:49.960
Cause it's just there.
00:29:50.359 --> 00:29:57.000
I just feel like you may have molded my brain a little bit, but it is becoming that part.
00:29:57.000 --> 00:30:04.799
And so I find myself whether it's at work or at home asking myself these questions when something just feels off, you know?
00:30:05.460 --> 00:30:11.079
And so I honestly will sit back and be like, wait, wait, that didn't feel like the proper response.
00:30:11.080 --> 00:30:12.119
Jayme would happen here?
00:30:12.121 --> 00:30:12.319
Right.
00:30:12.579 --> 00:30:18.240
And so I'll stop and I'll sit in the feeling and absorb it and let it pass for over me and say, isn't it interesting?
00:30:18.259 --> 00:30:21.880
And, then ask myself, how did I show up then?
00:30:21.881 --> 00:30:23.039
How do I want to show up?
00:30:23.040 --> 00:30:25.240
And we go through that exercise often.
00:30:26.059 --> 00:30:30.480
How have your conversations at work changed if they have changed?
00:30:33.019 --> 00:30:34.039
It is a bit interesting.
00:30:34.240 --> 00:30:36.720
I am using a little bit of this in my brain as I talk to people.
00:30:36.990 --> 00:30:37.279
Yeah.
00:30:37.280 --> 00:30:37.880
Good, nice
00:30:38.410 --> 00:30:46.279
I use this Model and I'm saying to myself, oh, this is how you're showing up in this stressful conversation, but- I dunno a bit of feedback, and we talk about things.
00:30:46.280 --> 00:30:52.480
But I think that one of my practices has always been trying to model what I expect of others.
00:30:52.759 --> 00:30:55.839
I can't ask someone to do something if I'm not willing to do it myself.
00:30:56.339 --> 00:31:01.519
And so I'm totally mindful that if I'm asking someone what are your development goals?
00:31:01.520 --> 00:31:13.400
What are your needs, which is a normal conversation for me to have on a regular basis in my role- I start that by saying, you know, I have my own, here's w hat I'm working on, here are the things that I'm doing.
00:31:13.721 --> 00:31:17.079
I've read this book, I'm working with Russ an d C onnection Lab for X.
00:31:17.819 --> 00:31:24.920
And so I think starting with that and sharing what you're doing helps individuals, right.
00:31:24.920 --> 00:31:27.000
Understand, Hey, we all have to grow.
00:31:27.279 --> 00:31:28.000
Nobody's perfect.
00:31:28.279 --> 00:31:28.480
Oh, wow.
00:31:28.650 --> 00:31:29.799
She's doing that then.
00:31:29.800 --> 00:31:30.000
Yeah.
00:31:30.039 --> 00:31:33.039
I should have no problem with saying, I need to work on X, Y, or Z.
00:31:33.950 --> 00:31:37.039
What would I do to, to counterbalance that now?
00:31:37.880 --> 00:31:39.079
Cause I go backwards sometimes.
00:31:39.339 --> 00:31:41.799
So, and sometimes the universe is giving me what you need.
00:31:41.859 --> 00:31:42.359
It just happens.
00:31:42.369 --> 00:31:42.720
Right.
00:31:43.140 --> 00:32:00.640
So once when I was in this space, for one activity, I ended up just getting inboxed by a DM- just text messaged by a few past coworkers and some past managers and some past leaders that I just didn't expect to hear from.
00:32:01.299 --> 00:32:08.400
And each of them said something that refuted me feeling like an imposter--- oh wait, yeah, that's right.
00:32:08.401 --> 00:32:09.119
We did do that.
00:32:09.400 --> 00:32:18.079
And it's just, that, that was my way of fighting that trigger and through that happening again, not because I did it, it was organic.
00:32:18.640 --> 00:32:27.519
And, now I'm going to use that anytime that pops out, I am going to then take a chance and just reach back out to someone that I've worked with in the past and at least start a dialogue.
00:32:27.359 --> 00:32:37.400
And, I do find that, it becomes uplifting and it does leave that behind me- where it should be because it's not really who I a m.
00:32:37.819 --> 00:32:39.079
Two more questions.
00:32:40.079 --> 00:32:40.079
Sure.
00:32:40.980 --> 00:32:42.160
Are you gonna listen to this?
00:32:42.940 --> 00:32:43.160
Yes.
00:32:43.220 --> 00:32:47.599
Are you gonna hear you are good that quick draw answer right from the holster.
00:32:49.799 --> 00:32:49.799
Absolutely.
00:32:50.039 --> 00:32:50.519
I'm gonna listen to this.
00:32:50.839 --> 00:32:52.119
I'm encourage other to listen to this.
00:32:52.119 --> 00:32:52.279
Fantastic.
00:32:53.920 --> 00:32:54.960
And, do you have any questions for me?
00:32:57.980 --> 00:33:01.019
How do you model your practice for us?
00:33:03.089 --> 00:33:04.259
Well, it's kind of my J-O-B
00:33:05.579 --> 00:33:05.579
True.
00:33:06.160 --> 00:33:11.299
If I'm gonna be legitimate at facilitating Connection Lab, I have to be able to answer the question.
00:33:12.079 --> 00:33:13.299
How do I show up under stress?
00:33:13.319 --> 00:33:14.859
How do I want to show up under stress?
00:33:14.890 --> 00:33:19.700
What do I want to get better at in terms of my relationship to myself, my content and my audience.
00:33:20.480 --> 00:33:31.640
So, Connection Lab is a laboratory that I walk around with and I change my lenses all the time.
00:33:32.759 --> 00:33:34.440
I change my predispositions.
00:33:35.200 --> 00:33:38.440
Mm-hmm because some of them are not flexible.
00:33:38.441 --> 00:33:39.640
And I wanna notice those.
00:33:39.960 --> 00:33:48.799
I wanna raise the predispositions that are unconscious to consciousness mm-hmm and I wanna notice them and say, isn't that interesting instead of, oh, Russ, I can't believe you said that.
00:33:48.920 --> 00:33:49.839
I can't believe you did that.
00:33:49.840 --> 00:33:50.079
Right.
00:33:51.099 --> 00:33:54.930
But this is my J O B my job is the Six Box model.
00:33:55.069 --> 00:33:57.970
And in fact, if we go deeper, my job is to break it.
00:33:59.369 --> 00:34:03.500
Our job is to poke holes in it, sink it.
00:34:03.500 --> 00:34:05.299
If it's a ship, break it up.
00:34:06.039 --> 00:34:08.820
Our job is to test it under all conditions.
00:34:09.539 --> 00:34:11.860
Mm-hmm to see if in fact it holds.
00:34:13.469 --> 00:34:26.530
So sometimes my mission is to break it- the Six Box model and the Six Modules of Connection Lab and to blow them up and to devalue them or to expose them mm-hmm um, or sync them.
00:34:26.291 --> 00:34:29.440
And, I have not been able to do that yet.
00:34:29.980 --> 00:34:31.440
And so my work continues.
00:34:32.000 --> 00:34:32.039
00:34:32.880 --> 00:34:34.559
My next question.
00:34:35.039 --> 00:34:36.440
So have you blown it up before
00:34:36.710 --> 00:34:37.000
Yeah.
00:34:37.429 --> 00:34:43.280
Well, it's an interesting choice when you're facilitating, because you're kind of recruiting people to help you blow it up.
00:34:45.329 --> 00:34:57.559
And all of a sudden the framework of a communication leadership workshop goes from, I have something to teach you and you're gonna sit there and listen, and you know, participants rolling their eyes to, I need you to help me blow this up.
00:34:58.099 --> 00:35:00.519
And people lean in and say, wait, now what?
00:35:00.519 --> 00:35:00.519
00:35:01.639 --> 00:35:02.199
You wanna do what?!
00:35:03.679 --> 00:35:04.599
What do I get to blow up?
00:35:04.760 --> 00:35:05.639
What are we shooting holes in?
00:35:05.641 --> 00:35:06.360
What are we sinking?
00:35:06.380 --> 00:35:07.480
Oh, well that's awesome.
00:35:07.739 --> 00:35:09.599
I'm good at wrecking stuff.
00:35:10.360 --> 00:35:10.440
00:35:11.420 --> 00:35:12.880
And I go, fantastic.
00:35:13.389 --> 00:35:21.940
Show me, show me how you can wreck this and they take a swing at it and geez, they just can't hear, let me change my footing here.
00:35:22.000 --> 00:35:24.019
Let me get, let me take a better swing at it.
00:35:24.480 --> 00:35:26.739
And they try again and again and again.
00:35:27.650 --> 00:35:34.300
Well that approach is perfect though, because people, sometimes some people go into these activities and thinking, yeah that's malarky.
00:35:35.650 --> 00:35:37.679
I've done eight of these before this.
00:35:37.389 --> 00:35:39.480
This one's not gonna be different than the other.
00:35:39.659 --> 00:35:45.840
So if you go on the lens of, you know what, let's see if we blow it up, let's just see, let's just break this thing, you know?
00:35:45.980 --> 00:35:46.920
And then they find that they can't.
00:35:46.920 --> 00:35:49.489
Well, guess what I means, it's a good model.
00:35:49.849 --> 00:35:53.489
This, this is gonna be a good learning for you because it has its weight.
00:35:53.659 --> 00:35:54.010
Right?
00:35:54.469 --> 00:35:58.250
You're proving the fact that it works by not being able to blow it up.
00:35:59.050 --> 00:36:00.889
I love the idea of trying to break it.
00:36:00.891 --> 00:36:05.530
And in the process, a byproduct, is I actually learned how to connect with my audience.
00:36:05.610 --> 00:36:09.929
I actually learned to surrender control of things.
00:36:10.050 --> 00:36:12.369
I can't control my audience's experience of me.
00:36:12.449 --> 00:36:14.090
I contribute to it, but I don't control it.
00:36:14.949 --> 00:36:22.690
And in the process of reclaiming that energy that I was putting into trying to control my audience's experience of me, mm-hmm I actually get more energy.
00:36:22.889 --> 00:36:23.849
I actually get more time.
00:36:24.170 --> 00:36:30.170
My relationship to presenting and communication is so much healthier cuz I don't decide for you.
00:36:31.800 --> 00:36:32.570
That was false.
00:36:32.719 --> 00:36:35.090
That that responsibility was false.
00:36:35.840 --> 00:36:37.170
Yeah, absolutely.
00:36:39.050 --> 00:36:39.289
Excellent.
00:36:39.800 --> 00:36:40.090
Nice.
00:36:40.900 --> 00:36:41.769
Jayme Alston.
00:36:42.630 --> 00:36:42.849
Yes.
00:36:43.039 --> 00:36:44.170
It's so great to chat with you.
00:36:44.250 --> 00:36:45.409
I look forward to our next chat.
00:36:45.619 --> 00:36:49.289
Thank you so much for being on the program and crush it out there.
00:36:49.291 --> 00:36:50.769
Let me know if I can be of further service.
00:36:51.650 --> 00:36:52.210
I sure will.
00:36:52.230 --> 00:36:52.809
It was great.
00:36:53.130 --> 00:36:54.889
And you know, would love to come back again.
00:36:55.130 --> 00:36:55.610
So fantastic.
00:36:55.869 --> 00:36:56.769
Oh, show me your tattoo.
00:36:57.110 --> 00:37:00.969
You gotta, every time we meet now, I look there it is.
00:37:01.369 --> 00:37:02.769
Oh, it's getting better now you can see it on the camera.
00:37:02.929 --> 00:37:03.050
Nice.
00:37:03.969 --> 00:37:05.289
Describe the tattoo for me please.
00:37:05.291 --> 00:37:05.849
What is this?
00:37:06.630 --> 00:37:08.050
So from this part
00:37:08.050 --> 00:37:09.449
Of your, your homework, right,
00:37:09.449 --> 00:37:09.849
Exactly.
00:37:10.239 --> 00:37:12.050
Part of my learnings is part of this tattoo.
00:37:12.190 --> 00:37:18.010
The top of it is a Lotus flower because again, I'm always developing out of the muck and becoming a beautiful flower.
00:37:18.670 --> 00:37:24.570
And, at the bottom is the sanscript sign for breathe, which is what we do.
00:37:24.829 --> 00:37:25.690
We have to breathe.
00:37:26.550 --> 00:37:37.130
We have to understand what's going on, recognize ourselves and what our body's saying, how we, we responding again, going back to your Six Box and how is my audience perceiving me?
00:37:37.519 --> 00:37:38.130
Take a moment.
00:37:38.849 --> 00:37:39.329
Breathe it in.
00:37:40.269 --> 00:37:40.849
And then go.
00:37:40.869 --> 00:37:50.449
So this helps me a lot to remember just to calm down, breathe, notice, pay attention, use your senses.
00:37:51.230 --> 00:37:55.800
See what's going on around you center, learn and go.
00:37:58.440 --> 00:37:58.440
Breathing.
00:37:59.280 --> 00:38:01.960
Yes you rock Jayme Alston I look forward to our next chat.
00:38:01.960 --> 00:38:03.239
Thank you so much for being on the show.
00:38:04.440 --> 00:38:04.440
Absolutely.
00:38:04.440 --> 00:38:04.960
Thanks Russ.
00:38:05.210 --> 00:38:07.239
Jayme Alston is the Head of People at BloomTech.
00:38:07.500 --> 00:38:11.719
If you wanna find out more about this revolution in technology education, you can go to bloomtech.com.
00:38:12.719 --> 00:38:13.079
I love that.
00:38:13.079 --> 00:38:15.519
Jayme got a Connection Lab theme tattoo.
00:38:16.550 --> 00:38:18.639
Talk about artifact creation.
00:38:19.880 --> 00:38:21.000
Well, yeah, amazing.
00:38:21.340 --> 00:38:22.480
Listen, that's our show.
00:38:22.869 --> 00:38:24.800
This is Lab Notes, the Connection Lab podcast.
00:38:25.090 --> 00:38:28.199
Thank you so much for tuning in and for continuing your practice.
00:38:28.679 --> 00:38:30.320
Remember you can coach this stuff too.
00:38:30.659 --> 00:38:34.920
Be transparent about your practice and others will become curious, collaborate.
00:38:35.230 --> 00:38:36.920
Co-create you got this.
00:38:38.079 --> 00:38:40.199
Remember if you want to go fast, go alone.
00:38:41.139 --> 00:38:44.519
If you want to go far, we have to go together.
00:38:46.179 --> 00:38:47.400
Go team.
00:38:48.289 --> 00:38:51.440
Thank you for listening to Lab Notes, the Connection Lab podcast.
00:38:52.340 --> 00:39:04.199
For more information about our workshops and executive development programs, you can email us at info@connectionlaboratory.com or go to our website www.connectionlaboratory.com.
00:00:00.550 --> 00:00:02.839
From little Mountain Sound in Vancouver, British Columbia.
00:00:02.990 --> 00:00:04.160
This is Lab Notes.
00:00:04.860 --> 00:00:07.200
And now here's your host, Russ Hamilton.
00:00:07.690 --> 00:00:08.038
Hello.
00:00:08.050 --> 00:00:09.640
Again, welcome to Lab Notes.
00:00:09.919 --> 00:00:11.400
I am your host, Russ Hamilton.
00:00:11.400 --> 00:00:14.000
Breathing good.
00:00:15.380 --> 00:00:24.160
At the end of every workshop we do, part of the homework participants are given is to practice when the stakes are low to stay connected with your cohort.
00:00:24.980 --> 00:00:31.000
And if you need some backup or have any questions about the communications practice, reach out to me.
00:00:32.158 --> 00:00:35.240
I wanna open this episode by re-extend that invitation.
00:00:35.978 --> 00:00:39.840
If you're still working out what it means to feel seen and heard in the world.
00:00:40.060 --> 00:00:54.759
If you have questions about how to apply the practice, or if you just need a little distraction from the chaos, the weirdness, you can email me at russ@connectionlaboratory.com or call me at(646) 780-9946.
00:00:55.369 --> 00:00:56.159
Let's have a chat.
00:00:56.270 --> 00:00:56.759
Totally.
00:00:57.899 --> 00:01:00.280
Our subject on the show today is learning.
00:01:01.380 --> 00:01:06.799
We have two guests whose specialty is learning, but with rather different takes and different missions.
00:01:06.801 --> 00:01:16.000
If you've done more than one module of Connection Lab, a common question we ask participants is what do you remember about the last workshop experience?
00:01:17.180 --> 00:01:18.760
I'm quick to say that this is not a test.
00:01:19.390 --> 00:01:19.879
It's fine.
00:01:19.881 --> 00:01:23.640
If the answer is you don't remember anything about our last workshop experience.
00:01:24.299 --> 00:01:30.640
We like to ask about what people remember, because it's a chance to bring up how we actually learn anything.
00:01:31.849 --> 00:01:33.000
Think about it for a moment.
00:01:33.189 --> 00:01:36.280
What do you know and how did you learn it?
00:01:37.189 --> 00:01:43.200
Immersion repetition, conscious pursuit, unfortunate accident.
00:01:44.500 --> 00:01:47.439
How do we learn as individuals?
00:01:47.579 --> 00:01:52.879
How do we learn as a community or as a business, chances are the business.
00:01:52.939 --> 00:01:57.280
You run the people in it need to get better at a variety of competencies.
00:01:57.579 --> 00:01:59.359
How do you diagnose a challenge?
00:01:59.459 --> 00:02:02.640
And then how do you decide what you want to get better at?
00:02:02.641 --> 00:02:03.280
Because of it?
00:02:04.700 --> 00:02:14.000
So much of our work revolves around raising our unconscious practice to consciousness without judgment or correction, and then deciding what we want to get better at.
00:02:14.300 --> 00:02:19.639
We say it like it's easy, but this simple set of questions can be quite a hike.
00:02:20.939 --> 00:02:27.400
As you listen to these conversations, I invite you to consider how you learn and what you learn.
00:02:28.569 --> 00:02:30.000
Let's introduce our first guest.
00:02:30.819 --> 00:02:36.080
He is the CEO of Kaskada, a company on the leading edge of machine learning.
00:02:36.080 --> 00:02:36.759
Specifically.
00:02:36.949 --> 00:02:41.439
They build behavioral machine learning models from event-based data.
00:02:41.710 --> 00:02:43.520
I'll let him tell you more about that.
00:02:44.229 --> 00:02:45.360
He's also a family, man.
00:02:45.430 --> 00:02:46.599
He's learning how to sail.
00:02:46.830 --> 00:02:48.120
He's got a lot going on, please.
00:02:48.121 --> 00:02:48.879
Welcome to the program- Davor Bonaci.
00:02:49.770 --> 00:02:51.800
First of all, how are you?
00:02:52.020 --> 00:02:52.599
Are you okay?
00:02:52.600 --> 00:02:53.479
Is the family okay?
00:02:54.030 --> 00:02:56.560
Things are generally okay.
00:02:57.280 --> 00:02:59.599
Things at the company are, okay,
00:02:59.889 --> 00:03:01.960
How's everybody doing at the organization?
00:03:02.360 --> 00:03:03.639
Are people generally healthy and happy?
00:03:03.639 --> 00:03:07.879
People doing well, we are going to a bunch of events.
00:03:08.289 --> 00:03:08.639
Right?
00:03:08.840 --> 00:03:20.919
Like, what we worked on last time was more around creating content and creating stories and talking about how to build a story arc from the beginning to the end.
00:03:21.680 --> 00:03:26.039
And, I think even, I don't know, five events in the last six weeks.
00:03:26.539 --> 00:03:26.759
Wow.
00:03:27.030 --> 00:03:28.319
Like trade shows and
00:03:29.080 --> 00:03:29.080
Yep.
00:03:29.349 --> 00:03:33.560
Like, Brian has run a three hour workshop on Monday.
00:03:34.330 --> 00:03:38.479
Charna spoke for half an hour on Tuesday and today is just Wednesday.
00:03:39.300 --> 00:03:46.039
So right, so these things are kind of happening and so people are doing good.
00:03:46.740 --> 00:03:48.800
Can we talk about your Connection Lab experience?
00:03:49.189 --> 00:03:49.919
Yeah, absolutely.
00:03:50.219 --> 00:03:51.319
I'm trying to remember.
00:03:51.320 --> 00:03:52.520
We met, how did we meet?
00:03:52.580 --> 00:03:53.319
We met through...
00:03:53.870 --> 00:03:54.159
Eric,
00:03:54.729 --> 00:03:55.080
Right?
00:03:55.789 --> 00:03:56.560
Eric Pinzur.
00:03:57.030 --> 00:03:57.319
Yeah.
00:03:57.669 --> 00:03:58.159
Amazing.
00:03:59.060 --> 00:03:59.680
We love Eric.
00:04:00.960 --> 00:04:10.800
Uh, and he recommended Connection Lab and me to you and you were of course, welcoming and inviting and, a bit skeptical
00:04:11.960 --> 00:04:12.719
I was skeptical?
00:04:13.300 --> 00:04:13.520
Yes.
00:04:14.580 --> 00:04:17.720
Is that not your, well, maybe you have a different memory.
00:04:17.920 --> 00:04:23.240
I just remember you and I having really good conversation about what are we gonna do and what is the value of this?
00:04:23.420 --> 00:04:24.838
And, you know, cause
00:04:25.120 --> 00:04:29.360
I'd say that I was not skeptical.
00:04:29.778 --> 00:04:30.160
O h, o kay.
00:04:30.240 --> 00:04:35.040
I asked people for how can we invest in us?
00:04:35.139 --> 00:04:35.600
And Eric could.
00:04:35.600 --> 00:04:43.079
It was not that I don't believe in these things.
00:04:44.199 --> 00:04:48.720
I believe in things, I was just doing my due diligence I guess.
00:04:49.000 --> 00:04:49.240
Or yes.
00:04:49.240 --> 00:04:49.680
Fantastic.
00:04:50.120 --> 00:04:50.120
Yeah.
00:04:50.120 --> 00:05:06.079
Well, I just know the journey you took because among the last conversations we had was a very impassioned, lovely conversation about the value of the work and how the team showed up and just thought it was amazing, but that was quite a journey from our first workshop to our last in-person experience.
00:05:06.269 --> 00:05:07.800
What do you remember about workshop Module one.
00:05:08.641 --> 00:05:11.319
We did workshop Module one and two in the same day.
00:05:12.430 --> 00:05:12.720
Yeah.
00:05:13.180 --> 00:05:17.480
So, I remember you beating me up
00:05:26.040 --> 00:05:27.680
You know, these things happen,
00:05:28.649 --> 00:05:31.759
These things happen, but that's what people remember first.
00:05:31.761 --> 00:05:32.079
Right.
00:05:32.220 --> 00:05:33.800
You know, how you made sure.
00:05:35.300 --> 00:05:39.639
So that's the first thing that I felt very good..
00:05:39.641 --> 00:05:52.079
You were able to get people to open up, you got, a nd fundamentally you helped me.
00:05:52.250 --> 00:06:05.319
And so maybe think of it this way- like many times when I think about myself, it's a lot about culture, right?
00:06:05.321 --> 00:06:15.680
Like I was not born here and culturally we do not put emphasis on feelings it's more like, what is t h is c r ap?
00:06:15.930 --> 00:06:16.278
Right.
00:06:16.279 --> 00:06:38.399
Like it's mo re, much more, yo u know, tell me what this is about, tell me the facts and culturally, like when you think about any, European cou ntry, e specially central towards Eastern part of Europe, we don't talk about how we feel.
00:06:39.060 --> 00:06:41.360
We don't do any of these things.
00:06:41.939 --> 00:06:47.240
And so you know, I think about my journey, right?
00:06:47.240 --> 00:06:59.800
Like these are the things that, you know, before the last few years I was never doing, and the society would tell me that none of these things are appropriate to do.
00:07:00.699 --> 00:07:23.759
And so, you know, over the last decade or more, I've been growing in this way and that's why I like to go last or avoid these things, when things are, are happening, because you know, i t's hard.
00:07:24.389 --> 00:07:24.680
Yeah.
00:07:25.139 --> 00:07:37.319
And, you a re able to in a couple hours, on multiple locations, able to get people to open up to be creative and to fundamentally learn.
00:07:38.360 --> 00:07:38.360
Yeah.
00:07:39.459 --> 00:07:47.160
And, then to connect and that's, I think is super great.
00:07:47.899 --> 00:07:53.160
And especially now, when everything is remote, we still don't have the office, we don't see each other.
00:07:53.850 --> 00:07:54.199
Right.
00:07:54.201 --> 00:07:57.439
The impact of these things is tremendous.
00:07:58.230 --> 00:07:58.720
Amazing.
00:07:59.589 --> 00:08:10.839
What do you remember about taking the stage with what you want your leadership legacy to be, and to be standing out on the deck in the hotel and facing your group and connecting with them or not?
00:08:12.949 --> 00:08:13.240
Yeah.
00:08:13.300 --> 00:08:15.399
So, that is when you beat me up.
00:08:16.360 --> 00:08:26.279
so that was hard for me.
00:08:27.620 --> 00:08:41.360
Number one, it was hard for me because of my role and the way I show up in a way...
00:08:41.860 --> 00:08:59.720
like you can't a s a leader, you can't distinguish that I am just a participant just like you- I don't get the ability ever, legally, or otherwise to take that h at off.
00:09:00.700 --> 00:09:13.080
And so it, i t wa s, it was hard for me because, you know, if I say something, t h e re ar e co nsequences, right?
00:09:13.110 --> 00:09:17.039
Lik e pe ople wil l sa y that I said it, tha t th e CEO said it, right.
00:09:17.041 --> 00:09:19.480
And these are not my values and wha tnot.
00:09:19.649 --> 00:09:20.000
R ight.
00:09:20.100 --> 00:09:23.639
And so it comes down to what are my personal values?
00:09:24.230 --> 00:09:27.558
What are the values of Kaskada and how they relate to each other?
00:09:28.399 --> 00:09:34.200
so, let the record show that it's challenging and nerve-racking, and you've gotta be careful.
00:09:35.178 --> 00:09:37.799
And were you careful and what happened?
00:09:38.759 --> 00:09:39.320
I was careful.
00:09:39.960 --> 00:09:39.960
Yeah.
00:09:39.960 --> 00:09:44.919
Uh, you wanted me to be less careful, I think, uh,,
00:09:46.700 --> 00:09:47.240
I'm a rebel,
00:09:48.399 --> 00:09:52.399
Uh, uh, right, but you know, it was great.
00:09:53.721 --> 00:09:57.039
I truly think it was great.
00:09:58.389 --> 00:10:03.840
What was the, the reaction of people was very, very good.
00:10:04.230 --> 00:10:04.519
Yeah.
00:10:04.860 --> 00:10:08.840
It really was because they were a bit hard on you at times too.
00:10:08.860 --> 00:10:12.678
The first time you did your read through, you got some, shall we say feedback?
00:10:13.580 --> 00:10:13.799
Yes.
00:10:14.840 --> 00:10:27.000
But I mean, I wanna, I wanted to be done or I wanted to go through it rather quickly and they wanted more
00:10:29.620 --> 00:10:30.879
But they gave you great feedback.
00:10:30.759 --> 00:10:32.960
And, then you did it a second time.
00:10:33.678 --> 00:10:33.678
Yep.
00:10:33.879 --> 00:10:34.120
I did.
00:10:34.120 --> 00:10:37.558
And you prioritized connecting with the audience over the content?
00:10:38.259 --> 00:10:38.480
Yes.
00:10:39.139 --> 00:10:41.240
And then the feedback went through the roof.
00:10:42.080 --> 00:10:42.080
Yep.
00:10:42.659 --> 00:10:46.279
And then you and I had a conversation after that, like what's up with that?
00:10:47.600 --> 00:10:49.120
Mm indeed.
00:10:49.899 --> 00:10:51.759
And then we did Module two the same day.
00:10:52.428 --> 00:10:52.720
Yeah.
00:10:53.190 --> 00:10:54.480
Module Two- Call to action and Demand.
00:10:54.740 --> 00:11:01.039
Now that the audience feels seen and heard, can we turn making demands on each other trust building experiences instead of trust, diminishing ones?
00:11:01.799 --> 00:11:01.799
Hmm.
00:11:02.590 --> 00:11:03.639
What scene did you do?
00:11:04.620 --> 00:11:07.399
The Goodwill Hunting one.
00:11:07.700 --> 00:11:08.279
Oh, right.
00:11:09.279 --> 00:11:10.120
Do you remember your demands?
00:11:10.240 --> 00:11:11.240
Do you remember your scene partner?
00:11:12.159 --> 00:11:13.320
I remember my scene partner.
00:11:14.860 --> 00:11:23.440
It was more like,"let me be", o r like"go somewhere" or like"realize your potential" versus"let me be"
00:11:23.940 --> 00:11:24.159
Yes.
00:11:24.190 --> 00:11:25.120
Something like that.
00:11:25.419 --> 00:11:25.639
Yes.
00:11:25.640 --> 00:11:25.840
Yes.
00:11:25.899 --> 00:11:26.120
Yes.
00:11:26.899 --> 00:11:36.320
And did any other performances stand out for you as you watched your teams perform these scenes and emphasize calls to action and demands on each other?
00:11:37.100 --> 00:11:38.360
No, I liked all of them.
00:11:39.919 --> 00:11:49.039
I mean, o ut o f the four movies, the W olf from Wall Street, I like that movie.
00:11:49.379 --> 00:11:52.120
So that, one's the one that I remember the most.
00:11:52.509 --> 00:11:52.799
Yeah.
00:11:53.820 --> 00:11:59.399
because of the movie itself, but there are plenty, like all of them were quite good.
00:11:59.700 --> 00:12:01.799
And the most recent Module we did was Storytelling.
00:12:02.029 --> 00:12:06.039
That was our first in-person workshop at Connection Lab in two and a half years down in Seattle.
00:12:07.000 --> 00:12:07.000
Mm.
00:12:07.820 --> 00:12:15.519
And it was absolutely magnificent to be in the same room with your people who were just so passionate and so invested and took such good care of each other.
00:12:16.840 --> 00:12:17.519
I concur.
00:12:18.029 --> 00:12:20.080
What was the takeaway from the storytelling experience?
00:12:20.960 --> 00:12:29.720
I mean everything we do comes down to how well we are able to communicate it.
00:12:30.330 --> 00:12:30.678
Right.
00:12:30.740 --> 00:12:39.159
You can do great work, but if you're unable to communicate it, it will not make an impact.
00:12:40.259 --> 00:12:51.759
And so I think, focusing on communicating it well is critical to success.
00:12:52.820 --> 00:13:06.919
And I think, you know, unlocking the next level of influence in any industry depends on being able to communicate it effectively.
00:13:07.500 --> 00:13:07.720
Yes.
00:13:08.178 --> 00:13:12.840
And in the same way, the story tellers are doing it in the movies.
00:13:13.700 --> 00:13:26.600
It is probable that the same type of skills or the same type of engagement is needed in technical content or beneficial in technical content too.
00:13:27.299 --> 00:13:27.519
Yes.
00:13:28.220 --> 00:13:30.879
And, I think you all can learn from that.
00:13:31.779 --> 00:13:36.480
And, there are people who do this better.
00:13:37.419 --> 00:13:45.320
There are people who, you know, can learn from it and when the entire company goes through it, I think we become better communicators.
00:13:47.178 --> 00:13:57.960
Has that shown up in the new events that you're doing as you continue to market Kaskada are the stories you are telling about the organization changing, shifting, improving?
00:13:58.840 --> 00:14:29.720
I mean that's a hard question to answer,, directly, we certainly spent a lot of time recently building all kinds of presentations decks and, and the like And, it is very likely that the various thinking about the story arc and how the audience will react and how to keep them engaged has come up, you know?
00:14:29.960 --> 00:14:29.960
Yeah.
00:14:31.200 --> 00:14:31.440
Excellent.
00:14:31.929 --> 00:14:36.000
We're talking to Davor Bonaci the CEO of Kaskada.
00:14:36.580 --> 00:14:40.399
So what is Kaskada trying to get better at these days?
00:14:40.201 --> 00:14:40.399
What competencies is the organization trying to get better at?
00:14:45.940 --> 00:14:46.720
So many things?
00:14:47.399 --> 00:14:52.519
I just don't know where to start from, from this angle.
00:14:53.799 --> 00:15:06.919
I t hink organizationally mm-hmm,, I, I think the first, when I think about last two years, since the COVID hit, I think the first six months was easy.
00:15:08.029 --> 00:15:08.320
Yeah.
00:15:09.379 --> 00:15:11.720
And then the second six months was terrible.
00:15:11.720 --> 00:15:17.919
or hard or difficult right after we spent the credit built before COVID- Right.
00:15:18.980 --> 00:15:27.919
We spent it through the first six months and then the difficulty began and we had to change a lot to operate in this world.
00:15:28.899 --> 00:15:32.759
And, in the second year of COVID, we have figured out how to do it.
00:15:34.179 --> 00:15:42.720
And, so I think we are working well today and that we have figured out how to work well, remotely and effectively.
00:15:43.139 --> 00:15:50.720
We have found repeatable patterns that work, offsite and doing different things at d ifferent t imes.
00:15:51.220 --> 00:15:53.679
And, I think i t has worked quite well for us.
00:15:57.830 --> 00:16:05.629
I d o think that we wi ll h ave the next set of issues with the next scaling fa ctor.
00:16:07.110 --> 00:16:18.590
I think we will have to un lock s ome new things there, b ut like, you know, for the time being at the current scale, things seems to be working.
00:16:19.690 --> 00:16:22.789
We are moving ra ther q uickly.
00:16:24.250 --> 00:16:43.500
We do want to get better, I think, more around th e c ontent and kind of make sure we focus on influence in the industry as much as we focus on building.
00:16:44.279 --> 00:16:47.620
You're at the forefront- Kaskada is at the forefront of machine learning.
00:16:47.679 --> 00:16:48.259
Is that correct?
00:16:49.159 --> 00:16:49.379
Yes.
00:16:49.730 --> 00:16:56.299
Yeah, that's kind of an extraordinary field to be in, especially from a layman out in the bleachers kind of watching.
00:16:58.039 --> 00:17:07.858
So it's interesting is, is your learning and the organizational learning similar to the product and how machines learn and is there, is there parallel,
00:17:09.039 --> 00:17:12.180
There are all kinds of learning algorithms.
00:17:13.000 --> 00:17:18.059
We tend to focus on building behavioral machine learning models from event based data.
00:17:18.480 --> 00:17:24.539
And those models tend to be on a more perhaps simpler side.
00:17:25.299 --> 00:17:26.539
the algorithm itself.
00:17:26.559 --> 00:17:30.460
The difficulty tends to be, you know, the data that you feed it.
00:17:30.710 --> 00:17:31.059
Right.
00:17:31.680 --> 00:17:45.059
So those algorithms are easier to intuitively understand, but it's all about the quality of the data that you feed it and how you feed it.
00:17:46.279 --> 00:17:51.799
And then, you know, humans learn slightly differently.
00:17:52.240 --> 00:18:00.920
I think we learn ideally through mistakes of others, but more frequently through mistakes of our own.
00:18:01.759 --> 00:18:23.519
Uh um, though there are more machine learning algorithms that are less supervised and more reinforcement learning or others that, that are trying things out and seeing what happens.
00:18:24.049 --> 00:18:24.400
Right.
00:18:25.039 --> 00:18:28.480
I love that you're in the learning business and that you're practicing, learning all the time.
00:18:28.950 --> 00:18:29.240
Yeah.
00:18:29.549 --> 00:18:31.279
What are you trying to get better at these days?
00:18:32.519 --> 00:18:32.519
Um,
00:18:33.549 --> 00:18:34.039
Sailing,
00:18:34.900 --> 00:18:36.799
Oh, sailing, uh, that
00:18:36.799 --> 00:18:37.160
Counts
00:18:37.868 --> 00:18:38.160
That.
00:18:38.490 --> 00:18:39.160
Absolutely.
00:18:40.400 --> 00:18:42.480
Um, I'm thinking, um,
00:18:43.118 --> 00:18:43.680
I believe you
00:18:44.519 --> 00:18:58.519
, I I'd say, you know, generally always kind of scaling myself and building and processes that can happen without me being in the loop.
00:18:59.470 --> 00:19:01.839
Amazing making yourself obsolete.
00:19:02.579 --> 00:19:02.799
Yes.
00:19:03.450 --> 00:19:03.799
Right.
00:19:03.800 --> 00:19:07.680
And so that's, you know, that's always I guess the goal.
00:19:07.681 --> 00:19:14.880
And when certain things are figured out, then, you can do that.
00:19:15.019 --> 00:19:18.440
And it's more difficult before certain things are figured out.
00:19:18.900 --> 00:19:22.799
And so you kind of, and as soon as you do one thing, the next thing comes.
00:19:23.190 --> 00:19:29.160
And it feels like whatever struggle to solve the problem and then be able to delegate it.
00:19:29.368 --> 00:19:29.720
Right.
00:19:30.140 --> 00:19:31.279
You know, infinite cycle.
00:19:31.900 --> 00:19:36.759
Is your mission to make yourself obsolete?
00:19:36.819 --> 00:19:38.279
Is that industry specific?
00:19:38.858 --> 00:19:40.680
Do other CEOs feel the same way?
00:19:40.681 --> 00:19:43.680
Could we all learn a little bit from that objective?
00:19:43.819 --> 00:19:47.319
Oh, I think there are all kinds of leaders in all kinds of CEOs.
00:19:47.460 --> 00:19:54.039
And I don't think there are people that have leaders that have hands in everything.
00:19:56.789 --> 00:20:02.839
It's certainly successful for many of them in various ways and who are we to judge?
00:20:03.900 --> 00:20:22.358
So I do attempt to delegate as much as I can, but I do think there is also a time when you can delegate and a time when you cannot, there's also mistakes that can be made when things are delegated too early.
00:20:23.079 --> 00:20:28.319
Mm-hmm before things are figured out, because it's really hard to figure out actually to whom to delegate it to.
00:20:28.700 --> 00:20:33.358
And it was the right profile of a person you need for a particular delegation task.
00:20:34.320 --> 00:20:41.118
And so t he figuring those things out is is not always obvious, right.
00:20:41.368 --> 00:20:44.279
Especially when you're not an expert in a particular area.
00:20:44.490 --> 00:20:44.839
Right.
00:20:44.840 --> 00:20:56.839
Think when you're an expert and you have seen everything there, then delegation tends to be easy, but when you are leading a wide variety of functions, you are not as good in all the functions as you are in others.
00:20:57.460 --> 00:21:04.759
And it's much harder to figure out what to delegate and to whom in an area that you are not an expert in.
00:21:05.190 --> 00:21:21.079
And, I think that kind of in leadership, there is like being an expert in being a leader of others in an area that you know everything about, there you have a kind of the ability to do, you have an unfair advantage because you know everything that's going on or you've grown from that area or something.
00:21:21.080 --> 00:21:35.079
Then that kind of leading in leading people in other areas that you have not grown through is a different challenge.
00:21:35.080 --> 00:21:44.039
But it's a, you know, you just have, it's a similar type of problem where you just don't have the inherent, unfair advantage.
00:21:45.019 --> 00:21:57.358
And I think those are, those have to be mastered and when mastered and then, it becomes easier.
00:21:58.180 --> 00:21:58.400
Yes.
00:21:58.940 --> 00:22:00.680
No, my knowledge will always be finite.
00:22:01.259 --> 00:22:01.480
Yes.
00:22:01.700 --> 00:22:03.640
So I can't know everything.
00:22:03.980 --> 00:22:04.480
So I have to...
00:22:04.618 --> 00:22:12.720
I think knowledge, if I can, you know, steal this quote from somebody, knowledge is knowing how much you don't know.
00:22:12.970 --> 00:22:13.319
Right.
00:22:14.108 --> 00:22:14.400
Yeah.
00:22:15.019 --> 00:22:17.720
And so you're a community builder.
00:22:18.599 --> 00:22:19.480
I like to think so.
00:22:19.750 --> 00:22:20.039
Yeah.
00:22:21.269 --> 00:22:25.160
I've experienced your community and I think you should be pleased.
00:22:25.608 --> 00:22:26.079
Thank you.
00:22:26.220 --> 00:22:28.759
If somebody's interested in Kaskada, what do they do?
00:22:28.819 --> 00:22:30.720
How do they contact you machine learning,
00:22:31.789 --> 00:22:32.799
Kaskada.com,
00:22:33.549 --> 00:22:34.240
Kaskada.com.
00:22:35.220 --> 00:22:48.720
Then, reach out to us is about building behavioral machine learning models from activity data, right from event streams, from transaction streams.
00:22:48.721 --> 00:23:15.720
When you have activity of some kind describes- this person a t this time, d id that- and you want to build behavioral machine learning models that predict engagement, interest, action, churn anything about th e b ehavior of a person, that is a really good, valuable use case predicting lifetime customer value, prediction, churn, an d r etention.
00:23:16.329 --> 00:23:21.039
These types of use cases can be extremely valuable in a b usiness.
00:23:21.589 --> 00:23:21.880
Nice.
00:23:22.858 --> 00:23:23.680
Two more questions.
00:23:23.900 --> 00:23:27.200
Are you gonna listen to this interview when I, when I release it?
00:23:27.440 --> 00:23:27.440
No.
00:23:27.589 --> 00:23:27.880
Okay.
00:23:28.380 --> 00:23:30.920
No, I have never watched the video of myself.
00:23:30.921 --> 00:23:34.720
Like there's plenty on YouTube, or from various conferences.
00:23:35.400 --> 00:23:35.400
Yes.
00:23:35.599 --> 00:23:37.200
I don't watch any of them.
00:23:40.700 --> 00:23:42.118
I'm not gonna watch this one either.
00:23:42.470 --> 00:23:43.079
Fantastic.
00:23:44.140 --> 00:23:46.400
Do you have any questions for me?
00:23:48.440 --> 00:23:49.039
Um, no.
00:23:49.720 --> 00:23:49.799
00:23:53.858 --> 00:23:55.559
One of my favorite no's ever.
00:23:56.599 --> 00:23:56.640
.
00:23:58.440 --> 00:24:00.920
I mean, I have a million questions...
00:24:07.420 --> 00:24:09.599
Except maybe when do we get to work together again?
00:24:10.220 --> 00:24:10.440
Yes.
00:24:10.890 --> 00:24:11.240
Right.
00:24:12.390 --> 00:24:13.160
That works for me.
00:24:14.279 --> 00:24:15.039
That works for me too.
00:24:15.839 --> 00:24:17.400
Davor Bonaci, thank you so much for being on the show.
00:24:17.599 --> 00:24:19.039
I look forward to our next engagement.
00:24:19.069 --> 00:24:23.440
Good luck on the water with your sailing and best of the family and the community.
00:24:23.460 --> 00:24:26.160
And I look forward to hearing about great success at Kaskada.
00:24:26.839 --> 00:24:26.960
All right.
00:24:27.250 --> 00:24:27.759
Thank you.
00:24:27.960 --> 00:24:27.960
Rest
00:24:28.789 --> 00:24:34.720
Davor Bonaci, the CEO of Kaskada- machine learning specialists and sailing student.
00:24:34.789 --> 00:24:35.960
Hilarious, man.
00:24:36.259 --> 00:24:40.480
If anyone needs permission to say no more often, Davor is modeling that for you.
00:24:40.910 --> 00:24:41.559
Very cool.
00:24:42.460 --> 00:24:43.759
You're listening to Lab Notes.
00:24:44.069 --> 00:24:55.720
Part of the Connection Lab network for more information about our workshops and executive development programs, email us at info@connectionlaboratory.com or go to our website connectionlaboratory.com.
00:24:56.460 --> 00:25:01.240
On this episode of Lab Notes, we're diving deep into the nature of learning the power of it.
00:25:01.980 --> 00:25:04.279
Our next guest is Jayme Alston.
00:25:04.779 --> 00:25:07.079
The company she leads is called BloomTech.
00:25:07.829 --> 00:25:14.079
It's an e-learning school that is helping people break out of poverty with accessible education in the technology field.
00:25:14.410 --> 00:25:20.960
BloomTech is changing how education is funded and is making technology education way more affordable.
00:25:21.759 --> 00:25:22.599
I love this business.
00:25:22.858 --> 00:25:27.599
I'm gonna let her tell you all about it and how her Connection Lab program fits into the picture.
00:25:27.819 --> 00:25:29.440
Please welcome Jayme Alston.
00:25:29.240 --> 00:25:31.640
Jayme, welcome to Lab Notes.
00:25:31.750 --> 00:25:33.440
It's so good to have you on the show.
00:25:33.618 --> 00:25:35.039
I'm always glad to see you.
00:25:35.819 --> 00:25:40.640
You are at BloomTech and your title on LinkedIn says you're the Head of People
00:25:41.589 --> 00:25:42.240
That is correct.
00:25:42.990 --> 00:25:43.279
I love that.
00:25:44.759 --> 00:25:45.319
Happy to be here.
00:25:45.950 --> 00:25:48.000
Tell me about BloomTech before we go anywhere.
00:25:48.000 --> 00:25:48.480
What is BloomTech?
00:25:49.589 --> 00:25:54.160
Well, this is the perfect time actually for writing an elevator speech about it.
00:25:54.220 --> 00:25:55.599
So, good time to test that out.
00:25:55.601 --> 00:25:55.880
Nice.
00:25:56.059 --> 00:25:58.839
BloomTech is an eLearning school.
00:25:59.180 --> 00:26:02.920
We're focusing on really changing the shape of poverty.
00:26:03.180 --> 00:26:07.240
We want to make education accessible for everyone.
00:26:07.900 --> 00:26:13.440
And, in order to do that, we are teaching people how to be developers, full stack, data science.
00:26:13.220 --> 00:26:23.559
We are coming out with blockchain, working on Amazon, all of those things, in order to make that not be a huge college debt.
00:26:23.910 --> 00:26:29.000
Right now, people are going to school for four years and coming out a hundred of thousand dollars in debt.
00:26:29.059 --> 00:26:31.160
For us, you pay as you go.
00:26:31.819 --> 00:26:41.519
It i s a fraction of the cost and i t i s a lot easier for everyone to actually get that type of s kill s et using our formula.
00:26:42.279 --> 00:26:42.279
Amazing.
00:26:43.019 --> 00:26:44.759
Is it a specialized education?
00:26:44.819 --> 00:26:47.240
Is it, is it, is it a broad education?
00:26:47.240 --> 00:26:48.000
What kind of things?
00:26:48.069 --> 00:26:49.960
What kind of education is offered at bloom tech?
00:26:50.950 --> 00:26:56.400
Well, we teach full stack development, so it's about nine months of sorts.
00:26:56.401 --> 00:27:03.039
We are moving to another platform where it's a little bit more flexible for individuals to join, but we'll teach you full stack development.
00:27:03.040 --> 00:27:06.880
So you could go out and get a career really once you've finished our program.
00:27:06.641 --> 00:27:12.920
And, same thing with Amazon, we were doing the same thing there with backend.
00:27:13.140 --> 00:27:16.039
We're re-launching blockchain soon.
00:27:16.559 --> 00:27:20.880
Mm-hmm so that is our new thing coming up, we believe in, late Q2.
00:27:21.460 --> 00:27:27.319
So we want to teach people how to get into these tech fields and stay there and make that money.
00:27:27.539 --> 00:27:30.240
So if you don't wanna be a waitress anymore, go to BloomTech.
00:27:30.920 --> 00:27:30.920
00:27:31.559 --> 00:27:31.559
Amazing.
00:27:32.640 --> 00:27:36.519
So if somebody's listening and is like, wait, this is really interesting.
00:27:36.520 --> 00:27:37.160
Where should I go?
00:27:37.161 --> 00:27:37.680
Is it BloomTech.com?
00:27:38.441 --> 00:27:39.240
Where should somebody go?
00:27:39.640 --> 00:27:41.200
There is- www bloomtech.com.
00:27:41.839 --> 00:27:42.319
Amazing.
00:27:42.470 --> 00:27:42.759
Okay.
00:27:42.940 --> 00:27:44.400
So we'll repeat that at the end.
00:27:45.099 --> 00:27:48.118
It's a really it's, is it mission driven business?
00:27:48.980 --> 00:27:50.039
That's why we are here, honestly.
00:27:50.040 --> 00:28:07.400
The part of the programming that I was literally just typing out was that our job- we showed a map of poverty, I believe was last year- and we showed exactly where the upward mobility was lacking within the United States.
00:28:07.400 --> 00:28:11.559
Looking at that, and what we do, our charge was to change that.
00:28:12.220 --> 00:28:31.480
So the places where individuals who were born in the eighties still are doing the same work, or, some of that, blue collar work that they were doing that their parents were doing and are stuck in that generational gap- We want to be able to effectively change that by giving this education and making it available to anyone.
00:28:32.180 --> 00:28:34.519
So yeah, we are all behind that mission.
00:28:34.520 --> 00:28:37.240
Everybody here wakes up, eats, breathes that mission.
00:28:37.299 --> 00:28:38.359
We love our learners.
00:28:38.361 --> 00:28:40.920
We try to make sure we have everything ready for our learners.
00:28:41.380 --> 00:28:45.920
And we are really great at placing our learners as well in these roles.
00:28:46.180 --> 00:28:48.759
So it's, you know, it's a great job.
00:28:49.039 --> 00:28:52.119
I love this job because I can see how we change people.
00:28:53.119 --> 00:28:53.359
Excellent.
00:28:53.390 --> 00:28:53.680
Okay.
00:28:54.059 --> 00:28:55.920
So how did we meet?
00:28:55.940 --> 00:28:57.839
We met through our mutual friend, Mark Frein.
00:28:57.910 --> 00:29:01.119
Tell me about your conversation with him and how did we meet?
00:29:01.789 --> 00:29:05.200
Well, Mark was my CPO here at BloomTech for a while.
00:29:05.309 --> 00:29:09.240
And we were talking about development and things that I wanted to work on.
00:29:09.339 --> 00:29:12.519
And he said, you know, I know somebody who would be amazing.
00:29:12.900 --> 00:29:16.559
And, next thing you know, I was connected to you and here I am,
00:29:16.960 --> 00:29:18.000
amazing, amazing.
00:29:18.099 --> 00:29:21.599
And we've done three modules and a bunch of coaching.
00:29:22.180 --> 00:29:32.559
I've sent you the, the prompt sheet with the Six Box model, which is available on our website www.connectionlaboratory.com, the Six Box m odel- three primary questions, three primary relationships.
00:29:33.059 --> 00:29:40.680
What's top of mind for you today on your practice with everything we've done and talked about a nd all the experiential learning through Connection Lab,
00:29:41.480 --> 00:29:43.440
I think it's just continually practicing it.
00:29:43.460 --> 00:29:49.079
So it's now becoming part of my subconscious, which is good, or I guess it's good.
00:29:49.080 --> 00:29:49.279
Right.
00:29:49.480 --> 00:29:49.960
Cause it's just there.
00:29:50.359 --> 00:29:57.000
I just feel like you may have molded my brain a little bit, but it is becoming that part.
00:29:57.000 --> 00:30:04.799
And so I find myself whether it's at work or at home asking myself these questions when something just feels off, you know?
00:30:05.460 --> 00:30:11.079
And so I honestly will sit back and be like, wait, wait, that didn't feel like the proper response.
00:30:11.080 --> 00:30:12.119
Jayme would happen here?
00:30:12.121 --> 00:30:12.319
Right.
00:30:12.579 --> 00:30:18.240
And so I'll stop and I'll sit in the feeling and absorb it and let it pass for over me and say, isn't it interesting?
00:30:18.259 --> 00:30:21.880
And, then ask myself, how did I show up then?
00:30:21.881 --> 00:30:23.039
How do I want to show up?
00:30:23.040 --> 00:30:25.240
And we go through that exercise often.
00:30:26.059 --> 00:30:30.480
How have your conversations at work changed if they have changed?
00:30:33.019 --> 00:30:34.039
It is a bit interesting.
00:30:34.240 --> 00:30:36.720
I am using a little bit of this in my brain as I talk to people.
00:30:36.990 --> 00:30:37.279
Yeah.
00:30:37.280 --> 00:30:37.880
Good, nice
00:30:38.410 --> 00:30:46.279
I use this Model and I'm saying to myself, oh, this is how you're showing up in this stressful conversation, but- I dunno a bit of feedback, and we talk about things.
00:30:46.280 --> 00:30:52.480
But I think that one of my practices has always been trying to model what I expect of others.
00:30:52.759 --> 00:30:55.839
I can't ask someone to do something if I'm not willing to do it myself.
00:30:56.339 --> 00:31:01.519
And so I'm totally mindful that if I'm asking someone what are your development goals?
00:31:01.520 --> 00:31:13.400
What are your needs, which is a normal conversation for me to have on a regular basis in my role- I start that by saying, you know, I have my own, here's w hat I'm working on, here are the things that I'm doing.
00:31:13.721 --> 00:31:17.079
I've read this book, I'm working with Russ an d C onnection Lab for X.
00:31:17.819 --> 00:31:24.920
And so I think starting with that and sharing what you're doing helps individuals, right.
00:31:24.920 --> 00:31:27.000
Understand, Hey, we all have to grow.
00:31:27.279 --> 00:31:28.000
Nobody's perfect.
00:31:28.279 --> 00:31:28.480
Oh, wow.
00:31:28.650 --> 00:31:29.799
She's doing that then.
00:31:29.800 --> 00:31:30.000
Yeah.
00:31:30.039 --> 00:31:33.039
I should have no problem with saying, I need to work on X, Y, or Z.
00:31:33.950 --> 00:31:37.039
What would I do to, to counterbalance that now?
00:31:37.880 --> 00:31:39.079
Cause I go backwards sometimes.
00:31:39.339 --> 00:31:41.799
So, and sometimes the universe is giving me what you need.
00:31:41.859 --> 00:31:42.359
It just happens.
00:31:42.369 --> 00:31:42.720
Right.
00:31:43.140 --> 00:32:00.640
So once when I was in this space, for one activity, I ended up just getting inboxed by a DM- just text messaged by a few past coworkers and some past managers and some past leaders that I just didn't expect to hear from.
00:32:01.299 --> 00:32:08.400
And each of them said something that refuted me feeling like an imposter--- oh wait, yeah, that's right.
00:32:08.401 --> 00:32:09.119
We did do that.
00:32:09.400 --> 00:32:18.079
And it's just, that, that was my way of fighting that trigger and through that happening again, not because I did it, it was organic.
00:32:18.640 --> 00:32:27.519
And, now I'm going to use that anytime that pops out, I am going to then take a chance and just reach back out to someone that I've worked with in the past and at least start a dialogue.
00:32:27.359 --> 00:32:37.400
And, I do find that, it becomes uplifting and it does leave that behind me- where it should be because it's not really who I a m.
00:32:37.819 --> 00:32:39.079
Two more questions.
00:32:40.079 --> 00:32:40.079
Sure.
00:32:40.980 --> 00:32:42.160
Are you gonna listen to this?
00:32:42.940 --> 00:32:43.160
Yes.
00:32:43.220 --> 00:32:47.599
Are you gonna hear you are good that quick draw answer right from the holster.
00:32:49.799 --> 00:32:49.799
Absolutely.
00:32:50.039 --> 00:32:50.519
I'm gonna listen to this.
00:32:50.839 --> 00:32:52.119
I'm encourage other to listen to this.
00:32:52.119 --> 00:32:52.279
Fantastic.
00:32:53.920 --> 00:32:54.960
And, do you have any questions for me?
00:32:57.980 --> 00:33:01.019
How do you model your practice for us?
00:33:03.089 --> 00:33:04.259
Well, it's kind of my J-O-B
00:33:05.579 --> 00:33:05.579
True.
00:33:06.160 --> 00:33:11.299
If I'm gonna be legitimate at facilitating Connection Lab, I have to be able to answer the question.
00:33:12.079 --> 00:33:13.299
How do I show up under stress?
00:33:13.319 --> 00:33:14.859
How do I want to show up under stress?
00:33:14.890 --> 00:33:19.700
What do I want to get better at in terms of my relationship to myself, my content and my audience.
00:33:20.480 --> 00:33:31.640
So, Connection Lab is a laboratory that I walk around with and I change my lenses all the time.
00:33:32.759 --> 00:33:34.440
I change my predispositions.
00:33:35.200 --> 00:33:38.440
Mm-hmm because some of them are not flexible.
00:33:38.441 --> 00:33:39.640
And I wanna notice those.
00:33:39.960 --> 00:33:48.799
I wanna raise the predispositions that are unconscious to consciousness mm-hmm and I wanna notice them and say, isn't that interesting instead of, oh, Russ, I can't believe you said that.
00:33:48.920 --> 00:33:49.839
I can't believe you did that.
00:33:49.840 --> 00:33:50.079
Right.
00:33:51.099 --> 00:33:54.930
But this is my J O B my job is the Six Box model.
00:33:55.069 --> 00:33:57.970
And in fact, if we go deeper, my job is to break it.
00:33:59.369 --> 00:34:03.500
Our job is to poke holes in it, sink it.
00:34:03.500 --> 00:34:05.299
If it's a ship, break it up.
00:34:06.039 --> 00:34:08.820
Our job is to test it under all conditions.
00:34:09.539 --> 00:34:11.860
Mm-hmm to see if in fact it holds.
00:34:13.469 --> 00:34:26.530
So sometimes my mission is to break it- the Six Box model and the Six Modules of Connection Lab and to blow them up and to devalue them or to expose them mm-hmm um, or sync them.
00:34:26.291 --> 00:34:29.440
And, I have not been able to do that yet.
00:34:29.980 --> 00:34:31.440
And so my work continues.
00:34:32.000 --> 00:34:32.039
00:34:32.880 --> 00:34:34.559
My next question.
00:34:35.039 --> 00:34:36.440
So have you blown it up before
00:34:36.710 --> 00:34:37.000
Yeah.
00:34:37.429 --> 00:34:43.280
Well, it's an interesting choice when you're facilitating, because you're kind of recruiting people to help you blow it up.
00:34:45.329 --> 00:34:57.559
And all of a sudden the framework of a communication leadership workshop goes from, I have something to teach you and you're gonna sit there and listen, and you know, participants rolling their eyes to, I need you to help me blow this up.
00:34:58.099 --> 00:35:00.519
And people lean in and say, wait, now what?
00:35:00.519 --> 00:35:00.519
00:35:01.639 --> 00:35:02.199
You wanna do what?!
00:35:03.679 --> 00:35:04.599
What do I get to blow up?
00:35:04.760 --> 00:35:05.639
What are we shooting holes in?
00:35:05.641 --> 00:35:06.360
What are we sinking?
00:35:06.380 --> 00:35:07.480
Oh, well that's awesome.
00:35:07.739 --> 00:35:09.599
I'm good at wrecking stuff.
00:35:10.360 --> 00:35:10.440
00:35:11.420 --> 00:35:12.880
And I go, fantastic.
00:35:13.389 --> 00:35:21.940
Show me, show me how you can wreck this and they take a swing at it and geez, they just can't hear, let me change my footing here.
00:35:22.000 --> 00:35:24.019
Let me get, let me take a better swing at it.
00:35:24.480 --> 00:35:26.739
And they try again and again and again.
00:35:27.650 --> 00:35:34.300
Well that approach is perfect though, because people, sometimes some people go into these activities and thinking, yeah that's malarky.
00:35:35.650 --> 00:35:37.679
I've done eight of these before this.
00:35:37.389 --> 00:35:39.480
This one's not gonna be different than the other.
00:35:39.659 --> 00:35:45.840
So if you go on the lens of, you know what, let's see if we blow it up, let's just see, let's just break this thing, you know?
00:35:45.980 --> 00:35:46.920
And then they find that they can't.
00:35:46.920 --> 00:35:49.489
Well, guess what I means, it's a good model.
00:35:49.849 --> 00:35:53.489
This, this is gonna be a good learning for you because it has its weight.
00:35:53.659 --> 00:35:54.010
Right?
00:35:54.469 --> 00:35:58.250
You're proving the fact that it works by not being able to blow it up.
00:35:59.050 --> 00:36:00.889
I love the idea of trying to break it.
00:36:00.891 --> 00:36:05.530
And in the process, a byproduct, is I actually learned how to connect with my audience.
00:36:05.610 --> 00:36:09.929
I actually learned to surrender control of things.
00:36:10.050 --> 00:36:12.369
I can't control my audience's experience of me.
00:36:12.449 --> 00:36:14.090
I contribute to it, but I don't control it.
00:36:14.949 --> 00:36:22.690
And in the process of reclaiming that energy that I was putting into trying to control my audience's experience of me, mm-hmm I actually get more energy.
00:36:22.889 --> 00:36:23.849
I actually get more time.
00:36:24.170 --> 00:36:30.170
My relationship to presenting and communication is so much healthier cuz I don't decide for you.
00:36:31.800 --> 00:36:32.570
That was false.
00:36:32.719 --> 00:36:35.090
That that responsibility was false.
00:36:35.840 --> 00:36:37.170
Yeah, absolutely.
00:36:39.050 --> 00:36:39.289
Excellent.
00:36:39.800 --> 00:36:40.090
Nice.
00:36:40.900 --> 00:36:41.769
Jayme Alston.
00:36:42.630 --> 00:36:42.849
Yes.
00:36:43.039 --> 00:36:44.170
It's so great to chat with you.
00:36:44.250 --> 00:36:45.409
I look forward to our next chat.
00:36:45.619 --> 00:36:49.289
Thank you so much for being on the program and crush it out there.
00:36:49.291 --> 00:36:50.769
Let me know if I can be of further service.
00:36:51.650 --> 00:36:52.210
I sure will.
00:36:52.230 --> 00:36:52.809
It was great.
00:36:53.130 --> 00:36:54.889
And you know, would love to come back again.
00:36:55.130 --> 00:36:55.610
So fantastic.
00:36:55.869 --> 00:36:56.769
Oh, show me your tattoo.
00:36:57.110 --> 00:37:00.969
You gotta, every time we meet now, I look there it is.
00:37:01.369 --> 00:37:02.769
Oh, it's getting better now you can see it on the camera.
00:37:02.929 --> 00:37:03.050
Nice.
00:37:03.969 --> 00:37:05.289
Describe the tattoo for me please.
00:37:05.291 --> 00:37:05.849
What is this?
00:37:06.630 --> 00:37:08.050
So from this part
00:37:08.050 --> 00:37:09.449
Of your, your homework, right,
00:37:09.449 --> 00:37:09.849
Exactly.
00:37:10.239 --> 00:37:12.050
Part of my learnings is part of this tattoo.
00:37:12.190 --> 00:37:18.010
The top of it is a Lotus flower because again, I'm always developing out of the muck and becoming a beautiful flower.
00:37:18.670 --> 00:37:24.570
And, at the bottom is the sanscript sign for breathe, which is what we do.
00:37:24.829 --> 00:37:25.690
We have to breathe.
00:37:26.550 --> 00:37:37.130
We have to understand what's going on, recognize ourselves and what our body's saying, how we, we responding again, going back to your Six Box and how is my audience perceiving me?
00:37:37.519 --> 00:37:38.130
Take a moment.
00:37:38.849 --> 00:37:39.329
Breathe it in.
00:37:40.269 --> 00:37:40.849
And then go.
00:37:40.869 --> 00:37:50.449
So this helps me a lot to remember just to calm down, breathe, notice, pay attention, use your senses.
00:37:51.230 --> 00:37:55.800
See what's going on around you center, learn and go.
00:37:58.440 --> 00:37:58.440
Breathing.
00:37:59.280 --> 00:38:01.960
Yes you rock Jayme Alston I look forward to our next chat.
00:38:01.960 --> 00:38:03.239
Thank you so much for being on the show.
00:38:04.440 --> 00:38:04.440
Absolutely.
00:38:04.440 --> 00:38:04.960
Thanks Russ.
00:38:05.210 --> 00:38:07.239
Jayme Alston is the Head of People at BloomTech.
00:38:07.500 --> 00:38:11.719
If you wanna find out more about this revolution in technology education, you can go to bloomtech.com.
00:38:12.719 --> 00:38:13.079
I love that.
00:38:13.079 --> 00:38:15.519
Jayme got a Connection Lab theme tattoo.
00:38:16.550 --> 00:38:18.639
Talk about artifact creation.
00:38:19.880 --> 00:38:21.000
Well, yeah, amazing.
00:38:21.340 --> 00:38:22.480
Listen, that's our show.
00:38:22.869 --> 00:38:24.800
This is Lab Notes, the Connection Lab podcast.
00:38:25.090 --> 00:38:28.199
Thank you so much for tuning in and for continuing your practice.
00:38:28.679 --> 00:38:30.320
Remember you can coach this stuff too.
00:38:30.659 --> 00:38:34.920
Be transparent about your practice and others will become curious, collaborate.
00:38:35.230 --> 00:38:36.920
Co-create you got this.
00:38:38.079 --> 00:38:40.199
Remember if you want to go fast, go alone.
00:38:41.139 --> 00:38:44.519
If you want to go far, we have to go together.
00:38:46.179 --> 00:38:47.400
Go team.
00:38:48.289 --> 00:38:51.440
Thank you for listening to Lab Notes, the Connection Lab podcast.
00:38:52.340 --> 00:39:04.199
For more information about our workshops and executive development programs, you can email us at info@connectionlaboratory.com or go to our website www.connectionlaboratory.com.
