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Getting creative with GenAI
24 Plays1 year ago
It's alllll about getting creative with GenAI!! Britt and Sarah chat through how we've been exploring and leveraging GenAI to support the Digital Experience team's workflow and process.
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Transcript
Introduction to Hosts and Topic
00:00:00
Speaker
Welcome back, everyone. Good morning, good evening, wherever, whatever. Even if you're listening in the workday, we're back. LD's commute. And I'm Kiana, I'm hosting again today. And I am a digital designer on the employer brand team, which reports into the DXOR. And I have these two lovely ladies from the DXOR that can introduce themselves and we will be talking. They can tell us what we're talking about today, actually.
00:00:28
Speaker
because I feel like they're the subject matter experts. You can introduce yourself. Amazing. Thanks so much, Kiana, for having us on the pod. My name is Brittany. For those that don't know me, I lead the digital experience and employer brand teams here at Loblaw Digital.
00:00:42
Speaker
our digital experience team for those that might not know or are fairly new to the organization is a team of content experts that are responsible for building and developing all the content end to end for all of our lines of business that we support here at Loblaw Digital and actually beyond. So yeah, that's a little bit about me. I've been with the company, I'm coming on, oh my gosh, eight and a half years.
00:01:07
Speaker
I'm coming on nine years in August. It's been an amazing time. I've spent the bulk of my tenure here at Loblaw Digital on this team, actually. So it feels very... So you're the perfect person to talk about what would you want to meet? And Sarah.
Exploring GenAI in Digital Marketing
00:01:24
Speaker
And Sarah, a tourney into Sarah. Thank you. Hi, I'm Sarah. I'm the digital design lead for PCX4S and I've worked with these two for about three years. It's called
00:01:34
Speaker
You know, it's exciting to talk about what we're going to talk about. Does somebody want to do this? The grand reveal. We kept you waiting. We kept you waiting. On the edge of your seat. On the edge of your seats, we will be talking about Gen AI. Yes. What we're doing with DLD, specifically what the DX team is doing, like how we're working with Gen AI and everything about that, right? Yes, absolutely. Yeah, a topic that
00:02:02
Speaker
Like we know AI, we know her, we love her, but exactly how is it being implemented? Who's implementing it? Like who's doing these things? Obviously we can learn today. Yeah, let's talk about it. Let's get into it. So we've been very busy on the digital experience team exploring and really pondering kind of the future and the future of our team and even just the future kind of state of
00:02:29
Speaker
the work that we produce and how we produce it. I'm going to say state of the world first. This emerging technology is very interesting and you know we have been really I think heavily involved in sort of leading this generative AICOE for
00:02:47
Speaker
the enterprise in partnership with Loblaw Agency. And so specifically looking at, you know, generative AI in the creative marketing space. And so what does that mean? What does that mean? So there's a number of different groups, sort of throughout the enterprise that are working on kind of implementing these tools.
00:03:09
Speaker
We spent a lot of time with Loblaw Agency. So they're the big creative team that works for a lot of our brands and they do more traditional marketing. And so we've been spending a lot of time with them. If you want to maybe talk about the committee that we're working on. Yeah, we've formed a little community. Okay. We've been busy even in the last six months. We started, I think,
00:03:36
Speaker
when we started this journey it was very much like okay let's let's kind of dig into AI and see how it can start to support our team's processes and even just you know we've done a lot of work on our team to define like what are sort of the problems that we're looking to solve what are the really manual and laborious kind of like pain points in our career
00:03:59
Speaker
Yeah, I guess because it's specifically in the creative creative field. Yeah. Yeah. So a lot of the tools that are out there at the moment that are really in the news a lot, they're sort of all like prompt based tools. Yeah. It's kind of like a search, like my journey. Yeah. All of those chat GBT. Totally. Yeah. So you type a prompt in and ask for it to generate something.
00:04:25
Speaker
And the output of a lot of those tools is either copy or a still image or video, or even like an audio file too. Interesting. Yeah. And so those are all.
00:04:39
Speaker
like mediums maybe that like our teams work on every day but everything is done really manually at the moment so you know you sit down and do all of the output for all of our market campaigns manually and there's not a whole lot of
00:04:56
Speaker
Gen AI intervention and that's a huge volume of work on our teams. When you think about like all of our attentional marketing channels and all the different replacements that he created content for. Yeah, so that's kind of like what our output usually is.
00:05:15
Speaker
And there's a lot of tools that you can do all that stuff within these like AI based tools, which changes really, really fundamentally changes a lot of like what our work looks like. So it's, it's interesting. Some people are nervous about how much
00:05:39
Speaker
and I'm interested, you got me hooked here. There's a little bit of like, are the robots coming for my job kind of thing? Yeah, I think we're okay. I'm on the side of like, I genuinely believe, like I had yet to see a mid-journey or something. I just can't, I just believe that they can't nail it. I don't know, maybe that's just me. I also think I'm pretty bad at writing prompts, I guess. That's an art. It is an art. And it's something we're looking to really master
00:06:06
Speaker
like Tammy Sutherland who is actually on the podcast and you have a few episodes ago who leads our copy and content function she is really helping to support even like what does that mastery and like problem writing look like um but totally it's it's an absolute it's an art yeah absolutely
00:06:24
Speaker
Definitely you kind of have to practice it and get used to really giving it a lot of detail to kind of get the output that you want and sometimes it is. I think I was telling Liam about that where it was like you don't realize how like
00:06:39
Speaker
I didn't realize how strongly of a communicator I was in person, learning how much I preferred that. Because when you're trying to communicate with like major knee or chat GPT, you try to get something from them, you really have to use descriptive words. And I just rely so much on like body language, tone of voice and like emphasis on certain things for somebody else to pick up what I'm trying to say. So it's like a huge, like,
00:07:02
Speaker
I guess like testing communication working. Right. Yeah. No, it's been really, really an interesting journey.
Automating Digital Processes with GenAI
00:07:10
Speaker
And I think like, like I said, like we really had to look at our process overall, even just to begin to say like, okay, where again, where are those opportunities within our process that our manual that we want to look to automate? And even just thinking about some of, you know, some of the things that take a lot of time, like concept, like the concepting phase for us, you know, like how can Jenny I now support?
00:07:32
Speaker
like our designers in in concepting and like what does that look like and you know again some of our more like kind of towards the end of our production and build out phase in the design process looks very as you're aware like it it does look very yeah time consuming and you know building out different assets at different break points for web mobile you know all all of our different break points english and french
00:07:59
Speaker
Like it is actually very, like it's hundreds, thousands of, like of assets. Like it can get wild. And I think what we'll get to maybe later in this conversation is like even just talking about
00:08:13
Speaker
the world of personalization and how that impacts DX and the the scaling content needs of our team and so we can yeah we'll get into it but so sorry for the people at home when you're talking about breakpoints yeah people might not know what that is so like when a designer designs a graphic for STM yes it's not just like a one and done
00:08:35
Speaker
one image and then you get to sign it off and call it a day. Like can you guys just explain breakpoints slightly? Just a little bit. Just a little bit so that people can grasp how many like how influential Gen AI could be into changing these types of things. Like you're saying thousands of images and people are like yeah I need like thousands of images. I think a lot of people think that when you do a graphic it's like you know it's like I just want it done. Right. Yeah. Yeah it's
00:09:01
Speaker
Um, so for every marketing brief we get, there's a number of different channels that you want to put your campaign out to. So for us, that looks like paid media, email, onsite, that's where the great points comes from. Um, in our apps.
00:09:20
Speaker
out of home. I'm trying to think of other ones. There's a lot. So break points just come into play like with our web experiences. So you can look at a website on a giant desktop monitor and your image is going to be a different
00:09:39
Speaker
different size from when you look at it on your phone. And so a breakpoint is just you need to provide a number of different images size differently so that it works regardless of what device you're on. Yeah, lots of images. So that's where that comes in. A thousand, a thousand, a thousand. And it's not just one. It's not just one that works across everything. Everything has to be exported at specific specs. There's a lot of manual
00:10:08
Speaker
I don't want to call it manual labor, but it's manual labor. All of that adds up into hours of some work today. A big campaign for us might take several days to roll out all of the imagery across all of the channels that we are monitoring. When we started to
00:10:33
Speaker
you know, going back into this kind of process is like, we realized that we have very similar challenges that as Lava agency. Yeah. And so, you know, that partnership, I think really kind of the inception of that was really that, you know, we're both working on this creative marketing material and collateral. And so let's work together to kind of solve for this and figure out, like I said, what points of the process we want to automate.
00:10:58
Speaker
And how do we want to optimize the process overall? And so we've kind of assembled this Steer Co. and this committee of leaders kind of across our creative teams. And also we're working very closely with to support the MarTech roadmap as well, which is our marketing technology roadmap. So we even have folks involved from La La Technology. And so we're actually working with a number of different people.
00:11:24
Speaker
to kind of support this exploration. And yeah, and we've kind of, we've discovered quite a bit, which we're excited to share with everyone to tell me about it.
AI Tools Evaluation and Partnerships
00:11:34
Speaker
Tell me about the discoveries and how we're involved. Yeah, totally. Yeah, we've had a number of demos from different vendors on the tools that they have. We've talked to Google a bunch about what Google tools are available to us. Really because this is
00:11:55
Speaker
a field where these tools are changing a lot really, really quickly. We've just done sort of like a wide range of just all these investigations into like what tool does what and like the quality of output. And what we've kind of found is that the quality can vary a lot. And so you really have to get into the weeds of like how each one of these tools works. Like mid-journey that you're talking about,
00:12:23
Speaker
before can work really well once you get into prompting a really detailed way, but not all of them work in the same way. That's my journey. I won't name names, but there's some devils that we've had their
00:12:41
Speaker
you know, certain tools are not at the level where we can use them in our work. And so it's really just been like going through that process through every single tool that we've been interested in and kind of comparing them. And there's a team within Long Life Agency that has developed like a scorecard so we could kind of report back. Yeah, like a little report card for these different vendors tools. Just so we can like document and compare and
00:13:10
Speaker
of check off like once that we have explored and then maybe where we want to go next. And I will say that a lot of the work that you know Sarah and team and that we have done over the last six months really was shaped that scorecard. Like it really did we developed that scorecard based on what we've been like exploring and the conversations we've been having with our team members and what we've sort of identified to date. So it's been really interesting because
00:13:38
Speaker
We kind of went from not really knowing much about Jenny and I and sort of scratching our heads being like, okay, what is this new tech? We wrap our heads around it. And that's the, I feel like that's the journey, right? It's like starting to really educate all of our team members on
00:13:54
Speaker
what we have discovered and what we're building which is equally as exciting. But yeah and then also I think another thing that's really interesting that again just thinking about like what we've sort of and how we've been having to think about this is even like for the team we have you know project management support on our team that supports all of our lines of business and so you know we have our various like intake processes and we have
00:14:21
Speaker
Um, you know, we have a whole process for what that looks like. And we've actually just in the last month have actually taken a look at that, reevaluated it and said, okay, how do we now consider kind of this future state where we might have some AI support? How, what does kind of tracking and.
00:14:38
Speaker
you know reporting against you know success metrics look like. How can we start to say like okay you know we're estimating our hours on a given project okay here's how many you know hours I think I'm going to save using AI and then actuals like actually looking at those numbers and seeing the time savings I think will be really impactful
00:14:59
Speaker
Um, not only for like our team, but just in being able to really understand like, yeah, how can our team scale and how can we continue to sort of evolve our practice? And so that's something that's been really interesting also that we've been just thinking on, you know, all of the, the reporting and all the scorecards and all the things we've actually been considering. When you say like your level of experience with AI, what do you kind of want to learn more about it?
00:15:34
Speaker
No, of course I'm down. Like yeah, lunch and learns, et cetera. I just, yeah, I'm like, I'm a very, I think honestly, as I said before, it's a hundred percent a me problem because I genuinely cannot write prompts. So lunch and learn for writing prompts, I'm all in for. I should get Tammy on that. It's coming, it's in the works. Yeah, but I think that like, especially with
00:15:52
Speaker
Sorry, would I? Yeah, yeah, of course.
00:15:58
Speaker
well at Lee together last year a lot of that design was AI which was kind of cool and fun so that was like a very cool experience and I've been using it a little bit more like for EB just for like mood boarding and stuff but again we've got to like see where it can expand and work like I'm doing I know that I slightly do I have to deal with less of like the specs and the brain point situation that
00:16:21
Speaker
other designers have to go through. So I would love to see it tie into EB stuff. Yeah. Yeah. So tell me about lunch and learns. They're in the works. They're happening. Like what's the, how are we, how are we, how are we spreading the AI? So yeah. Yeah, absolutely. And this is a huge, like I said, this is a huge, like part of it is like, we've done this discovery, but now it's like, how do we actually share this knowledge? How are we implementing it? Yeah.
00:16:48
Speaker
what is that change management piece because as you said like you're kind of nervous and how do I use this technology in a way that's going to benefit you know my work and support kind of yeah the business but also not maybe threaten my career or
00:17:03
Speaker
all these things. And so one of the kind of avenues that we've taken is as a AI kind of steer code committee, um, we have actually developed these legend learns that we're doing biweekly in collaboration with blah blah agency and our new social COE at head office. And so yeah, we have, you know, them every other week and it's a kind of like rotating host. Actually, Sarah is going to host
00:17:28
Speaker
Next week. Oh, it's gonna be all of them design what we've been exploring. So it'll be a good one. But yeah, we've had some external speakers and external speakers. Yeah, that was interesting because he was an AI like artist. Yeah. Yeah, which is so interesting because like and there were a lot of discussions as well, which I'm sure like we have discussions on around copyright law. Yes, right.
00:17:53
Speaker
creating images yeah i don't know if we want to get into that but we do actually okay great because i've so many questions about like about that especially if like we're a huge business like generating images with ai like how does that work in terms of like what's the discovery there i'm so yeah i'm so curious i took like one copyright law class that's it
00:18:18
Speaker
to use my law classes.
Legal Aspects of AI Usage
00:18:22
Speaker
It is really interesting because a lot of these tools, it really goes to the root of what is intellectual property and what defines you as an owner of something you create, whether that's a photo or an illustration, or even if you're a journalist and you write articles or books.
00:18:45
Speaker
even people's likenesses for videos and their voices. I made a model of my own voice a few months ago, and it was very weird and creepy. Oh my goodness, tell them I'm not... Because it's very true. You just walked away. I just walked away, okay. Yeah, yeah, yeah. I don't know if I need to put that up in the world. But yeah, you can do all of these things now, and the thing that becomes a legal issue is
00:19:12
Speaker
how do we know, like if we want to start incorporating these tools into our workflow, how do we know where the source material that the model is trained on? How do we know that that's obtained ethically? True. And some of the reminders that we have talked to, like some are very transparent about that and some are a little bit more suspect.
00:19:37
Speaker
But they're a little bit more like I maybe like closed off about like how their model works Because they also don't want to show all their cards true So it is kind of a big thing for us because like you said we're a really big company and we have a legal team that I think you've met with yes, I
00:19:56
Speaker
It's been really a really wild and interesting ride, like I have to say. And as a part of one of our, you know, we had explored a copywriting tool that would have supported, we wanted to onboard to support our copy teams. We ended up kind of going down the road of actually like engaging our cybersecurity team to do an audit of the tool.
00:20:19
Speaker
And then we actually went through an entire, I actually sat in on our legal counsel meeting about this tool. And it was, again, it's been just such an interesting journey and we ended up opting not to actually proceed with the tool because what we were building with Garfield and what the capabilities of Garfield were all there to support all of our needs.
00:20:41
Speaker
which we can maybe talk about. But yeah, certainly like the legal kind of part of it has been really interesting and just the assessment that we've had to do is like what kind of is the risk level we're willing to assume as an organization in the business.
00:20:59
Speaker
in order to be able to proceed with some of this Gen AI use because specifically around coffee because one of the early kind of use cases that we discovered for Gen AI was absolutely to support our coffee team as everyone now knows if you've watched
00:21:16
Speaker
previous podcast. We do have a copy team under DX that supports all of our lines of business and so having a copy tool to help that's on brand that we can feed our different brand guidelines
00:21:32
Speaker
is would be huge. It's huge. It's game changing for our team. And so yeah, but just going down that journey and like discovering kind of the considerations, especially around copyright infringement, what is considered original work, who like who kind of owns what. It's been a really, really, yeah, interesting ride. So there are still I feel like very much like conversations in the works around that specific piece around like, okay, maybe what is sort of the
00:21:59
Speaker
what is kind of that tier level campaign that we'd be willing to say like, okay, maybe if it's like a really big campaign, maybe we're not going through Jenny Ira, but what are maybe those opportunities? Lower risk, kind of opportunities to support the work. So again, this is an exercise we're doing kind of as a larger creative team. So it's been really interesting. I don't listen to any secret information that you do. So we can edit this out.
Tools and Innovations in AI Copywriting
00:22:29
Speaker
One of the tools that we're kind of looking at building in-house is called content urgent. And we're kind of building that as a Google partnership and Google has assumed the risk for us legally. Oh, so it's on them. Yeah, like they would agree to kind of take that on for us, which is really interesting. That's the only manner I think that we've talked to.
00:22:54
Speaker
willing to do that. Jacob, you might need to edit this. You know, content engine? Well, I don't know for the future. As someone who knows nothing, I've heard the words content engine before. Yeah. Content engine is not a secret. I think it's okay, but we'll run it. We'll run it through. That's very interesting. Yeah. And so that's a huge, yeah. And we can definitely, let's definitely talk about content. We should talk about what we're building.
00:23:20
Speaker
100%. What are you building? I'm interested. Yeah. Maybe we'll talk about, should we talk, I talk about Garfield first and then we can talk about continent. Yeah. Because I feel like continent units. Everyone knows Garfield. Everyone knows it's going to start. As you'd say, you know her, you love her. Whatever you love. And yeah, so with Garfield, as I mentioned, like we've been trying to kind of
00:23:42
Speaker
find opportunities to support our copy team and be able to develop content and export content quickly and pull it all together. And so we actually had kind of in our discovery, you know, learned and had meetings with our engineers and showed out a tool who's been supporting this specific initiative with myself and Tammy.
00:24:08
Speaker
But, you know, we've really been impressed with like the opportunities within Garfield. And so we sat down with a tool, kind of walked him through our long list of requirements, which we had put together with the team and we had put together with, you know, in collaboration with La La Agency and our packaging teams. And, you know, so we're not just considering our digital needs for this, but ultimately like what are the things that we want Garfield to do? So actually there's going to be a release I'm told in April.
00:24:38
Speaker
that is going to start to have some of the timeline to it. It's on record now. But yeah, so that's going to start to actually like the release will actually have some of our copy requirements as a part of it. And so we're really excited because we'll be able to sort of run show that.
00:24:54
Speaker
and start to actually kick it off. But yeah, like, you know, the ability to, like I said, like, you know, import a tone of voice guide, you know, the ability to, sorry, I got distracted there, you know, like upload a brief and, you know, maybe like provide some like supporting imagery and things like that. Yeah, we have multiple copywriters working on different, you know, on a given business. So we'll just share that.
00:25:22
Speaker
you know as they know from the previous podcast yes of course of course so yeah there's we have a lot of hopes and dreams like i think everyone and everyone if you've used garfield you know the you know the potential and possibilities are really endless yeah and so yeah we're super excited about this and it's really going to i think
00:25:42
Speaker
Yeah, change the way that we work and how we work. And so this is going to be really impactful for, I think, a lot of teams, but specifically DX. Yeah, so that's a little bit of a part of it. But let's talk content engine and personalization. Because that's like content engine. So personalization is like the new Helio. Damn. I'm just kidding. I just came here to say lots of influence.
00:26:10
Speaker
Um, there's going to be a lot of discourse on this. That's okay. Come, come after me in the comments. Um, so yeah, personalization is really just looking at like tailoring the content onsite to customer statements in a way that we haven't really done at a scale that we haven't really done before. And to do all of the manual work that we were kind of talking about before.
00:26:34
Speaker
of like all of these different channels, all of our different components on site, all of our different email templates. We have to be able to do that in a way where AI supports us in that because the manual work of doing that would be like a huge, huge team of designers and writers and like production specialists. So Content Edge is what we're building in-house to help us do that.
00:27:03
Speaker
And we wrote this again, another long list of requirements. But the team was really excited about this. And we're looking at kind of starting with the sort of smaller, like easier to achieve things where
00:27:20
Speaker
we're able to rename image files in a bash kind of situation. At the moment, again, that's like a manual task that someone is doing. The next thing after that is resizing images to fit all of these different components. It took like seven hours. Yeah, which is really cool. There's kind of an AI element in that where it kind of needs to be some
00:27:50
Speaker
content awareness of what the image is, how we establish that, like what's the focal point of it in the image. Yeah, like how does it look different on desktop versus mobile, all that stuff. And so it's choosing where to crawl, essentially. Yes, which would be really cool. So that's kind of where we're starting, but we have like a lot
00:28:12
Speaker
Small, long laundry list. Really long. Really, really long. Yeah. But it's so exciting. It is. Yeah. So that's kind of what the team is starting on at the moment. And yeah, I'm really excited about it. It really like fundamentally changes.
00:28:32
Speaker
how we do our jobs here. Yeah. So yeah, it's really cool. It just makes the life a lot easier. That's great. Yeah, yeah, it takes out like the volume aspect. Yeah, totally the job. Yeah. And I think like this solution like content engine and what we're building here and our aspirations for this, you know, is it will it will revolutionize the way that
00:28:55
Speaker
and the way that our team supports the content. And I think some people are maybe more nervous, as you kind of mentioned, right? Like AI is coming from my job, like what's happening. But I think for me, leading this team and helping to lead content engine and making sure that it is ultimately the solution that we need.
00:29:19
Speaker
The goal here really isn't, it's not to necessarily replace jobs, you know, it's not to replace jobs. It's to help support, like we said, those manual kind of laborious areas and optimize the process so that we can spend our time doing fun designs and doing things that are really going to impact, you know, and really drive those business outcomes in a more meaningful, impactful way.
AI's Impact on Creativity and Efficiency
00:29:43
Speaker
And, you know, as we all know, what we have the time, space to be able to, as creative,
00:29:48
Speaker
You know, when we have the time and space to be able to actually sit down and concept and think something through in a really meaningful way.
00:29:59
Speaker
that shows. And so when we're not spending the, you know, the bulk of our time doing the buildouts and, and, you know, naming all of those robots do those things so that we can focus on those really, you know, high value, big impact, you know, initiatives. Yeah. And yeah. And really success for us here is, is really like, how can we save time there and how can we, we increase our content?
00:30:27
Speaker
output without, you know, maybe by remaining head count neutral, like keeping the team as it is, being able to really invest in the people that we have and continuing to like advancing through our practice without having to double, triple, quadruple our team size to be able to support P13. A hundred percent. Yeah. That's a great way to put it. Yeah. Yeah. Yeah. And when you think about like the design tools that all of us know and have to learn, like,
00:30:55
Speaker
I haven't really been working that long but when I started maybe 10 years ago everybody was doing everything in Photoshop and Illustrator and then everybody would give her a sketch. Now Figma is sort of our primary tool and so
00:31:11
Speaker
this is just kind of like the next sort of thing that's coming is software that does sort of this like volume piece of the design of copies I think so yeah it's just kind of like the next sort of thing for us
00:31:26
Speaker
Yeah, and I think the other thing is like that I've been saying to the team and you know, like as we're kind of chatting about this with the DX team, it's like, okay, you know, rest assured like this is in good hands, you know, like I feel like we have a bunch of, you know, design leaders kind of in these conversations.
00:31:42
Speaker
creative leaders, you know, not just our team, but we're pulling in folks from a little agency. And, you know, like I've recently been chatting with the creative director at Joe Fresh and like what we're building, we really want to make sure we're thinking about our use cases really broadly and that we're all contributing to building the right solution here.
Collaborative AI Projects and Future Sharing
00:32:01
Speaker
And the nice thing about this is that we're investing in this in-house and building this kind of from the ground up.
00:32:07
Speaker
And that has a lot of facts. Honestly, it really is. And so we are building, you know, we have a lot of wonderful, wonderful, talented people working on this, not just us, but like our product design team, our product team or engineers. Like it's such a collaborative effort. And so we're, it really, we're in such good hands with this. And I, we're just, we're just super excited. Like anytime we have a content engine meeting or, you know, we're chatting content engine, it's just like,
00:32:34
Speaker
I'm like, I get giddy. I'm so excited. I feel like it's such a cool thing to talk about. Like, when you talk about projects like this, it really is just like, you know, La La Digital. Like, this is like... Innovation. Yeah, innovation. Like, this is like totally a project where it's just like, what are they working on at La La Digital? Probably something cool. And it is, you know? It's true. It's true. Coming to a LinkedIn post near you. Yeah. I see your, like, little employer brand. Yeah. Yeah.
00:33:00
Speaker
All the things. Yeah, we'll be on the content schedule next week. So yeah, yeah, so Anything any other any other what what should people look if people want to get involved more like what it what's what's planned? Mm-hmm. Well
00:33:17
Speaker
lunch and learns, like people should come. Yeah, to lunch and learn. Yeah. Every two weeks, you order, you set up every race, every crew order. We haven't, maybe we don't want to probably mess into this, but we do order and Uber Eats. Yeah. And we sit in a room and we just listen to lunch and learn. Like this lunch day, I lunch and learn. Sometimes we do. And it's with us, it's with advance. It's with it. Yeah.
00:33:47
Speaker
Agency yes, I got a man. Yeah, Joe fresh has been joining in Like the first call we had there were like 150 people
00:33:56
Speaker
people that came. Our last one, there was over 100 people with multiple viewing parties. There's a lot of eagerness to really see behind the curtain. And we're ready now, I think, as a leadership team to start to really open up that gate and just start sharing in a major way. And so we had our lunch and learns. Yeah. Every two weeks, isn't it you want to DM one of us early?
00:34:29
Speaker
And then you have more plans for more news. More news. She's got a lot of plans. I'm a planner. I'm a planner. So yeah, we definitely have, you know, we've been thinking about what, how we want to continue to share, like what our team is doing, any sort of progress and developments that we're making. And again,
00:34:53
Speaker
prompt piece, like how we kind of master the mastery of prompt writing. That's something that we plan to actually like document and formalize and share out so that anyone at Loblaw Digital can kind of benefit from that. Oh my goodness. So many people have been writing in like the Garfield feedback or just general kind of channels like help me with this prompt or we'll have folks reach out to like our copywriting team and asking for support here.
00:35:22
Speaker
we need to we need to do this so this is on the list and yeah just thinking about like what is maybe like a way that we can continue to disseminate the explorations and um yeah just like for all of the ai enthusiasts you know and just and just people who are interested in understanding
00:35:39
Speaker
you know, or leading teams that, you know, they haven't maybe explored AI, but they want to understand like, how has, yeah, how have other teams at Lava done this? You know, we're still, we're not experts in the process. We're still very much in the process. But I think we are experts in our field. And we know, we know this team, we know what we need. And so I think like what we're
00:36:03
Speaker
what we're building and how we're getting there is we're on the, we're on the right path. And so we just want to share now with everyone, like, yeah, what that journey has looked like and what's next. So yeah.
00:36:16
Speaker
Perfect. Yeah.
Conclusion and Listener Engagement
00:36:18
Speaker
Any final, any final words? If anyone has any questions. Oh, I think that was a very good spot to enter. If anyone has any questions. Reach out to us. Are your DMs open? Yes. DMs are open. Well, thank you for coming on the pod. Very insightful conversation. Thank you for having us. Of course. Thank you for making this happen. I definitely am.
00:36:43
Speaker
Of course, of course. Um, so that's, that's it for today's podcast. Hope everyone had a great commute. I feel like that was probably half an hour, but yeah, hope to see you next time. Ciao. Thank you so much.