Hello everyone and welcome to this episode, the
data one of the Women Talking About Learning
podcast. I'm Andrew Jacobs. There is more data
around us than ever before. The amount of data
generated worldwide, for example, has soared
from 2 Zetabytes in 2010 to a whopping 64 .2
Zetabytes in 2020, which is more than the number
of detectable stars in the cosmos. However, what
are we doing with it and how useful is it? To
help iron out these questions we have two amazing
guests, one who uses data in marketing and the
other who uses data in AI. Our first guest is
Rebecca Oliver. Through her business name Juxtam
Marketing Solutions, Rebecca helps start -ups
and businesses launching new products or services
build smart, human -first marketing strategies
that actually connect. She specialises in go
-to market plans that don't just attract customers
but make people feel something. Her approach
puts humans first, helping brands create marketing
they're proud of and audiences proud to support.
Our next guest is Rachel George. Rachel is a
generative BI senior manager on the cutting edge
of AI transformation within business intelligence.
She is passionate about educating others in data
and AI, creating an industry -leading data and
AI summer school, which concluded its third year
in 2025. recorded in July 2025. This is a fascinating
conversation, so settle back and enjoy. This
is women talking about learning. This is Rebecca
and Rachel talking about data. Hi, Rachel. It's
good to be in touch. I'm Rebecca. Hey, Rebecca.
Yeah, this is exciting, isn't it, getting on
the Women in Learning podcast? How are you doing?
Yeah, I'm good. I'm glad it's Friday, another
week down. Just excited for the weekend now.
How about you? Yeah, absolutely. I can't believe
it's already Friday afternoon, right? It's one
of those weeks every week. Here we are talking
about data. What else would you want to do on
a Friday afternoon? I know, right? Who could
ask for more? You know, I'm in a data role, so
data is my life, which I'm enjoying. And so,
yeah, why not get to sing its praises on a Friday
afternoon? Oh, my gosh. I know. Tell me more
about that. Yeah, so... I mean, I'm in the generative
BI space right now, right? So I work in the AI
center of excellence, literally where all the
fun stuff is happening right now in data and
AI. So super, super exciting. And interestingly
in a space where there's not actually that much
learning around what generative BI is or even
how to do it as a job. So all the challenges
absolutely at our feet where I'm working at the
moment. How about you? Oh my gosh, I bet that
is just... being right in the very infancy of
a new thing is so exciting but also a bit daunting.
So I'm coming from a marketing background so
I use data a lot within my role as a marketing
consultant and how data can fuel better marketing
results, how data is at the fingertips of everybody
in order to kind of make better decisions for
businesses and the growth of businesses. But
what is really exciting, and I suppose translates
well to you, Rachel, is that AI and marketing
is such a hot topic right now. It's all everybody's
talking about on LinkedIn. It's definitely fueling
better results because it's making everybody's
lives easier. But obviously it's a bit daunting
because we're all thinking, oh my gosh, I'm going
to be taken over by a robot. What would your
stance be on that, all the talk about LinkedIn?
What do you think? Oh, of course. I mean, I think...
everybody is feeling that same level of insecurity
right now and including folks who are in data
roles, including folks who are creating AI products
or even thinking is an AI going to build this
AI product for me and replace me at some point.
So I think we're certainly not alone, although
in very different industries. I'm kind of interested
to see your kind of take on not only AI in marketing
as, you know, all the content kind of generation
that it's doing, which I'm sure is providing
some of the insecurities there, but also from
a data point of view, whether or not, you know,
you're using any AI in that aspect of what you're
trying to take from marketing as well. Yeah,
no, that's a really interesting question. So
the way I use AI is very much in the chat GPT
space. So you'll probably blow my mind. There's
way more to it than that. But yeah, so I'll use
it to validate an idea. So if I've got an idea
and I wanna make that come to life, I'll use
it just to, I almost get the AI to ask me questions
back. So. have you thought about this? Have you
missed out this opportunity for this target audience?
And also to validate stats. I literally used
it before this phone call to work out how many
women are in marketing, as opposed to men. 62
% of women hold marketing roles. But just things
like that. So I'm just using it as quick fire.
Let me just double check this stat. Let me just
work out this. And also I'll use it to represent
sources as well. So like say, for example, I
want to say something, but I want to... not say
I found it on TikTok. I pulled this from this
source, I'll ask ChatGPT to help that. So it'd
be really interesting to know from your standpoint
what else is out there other than ChatGPT and
what is it that you do on a day to day? Oh, absolutely.
I mean, in generative BI, to put it quite simply,
we have the GenAI large language model conversational
interface that you have with ChatGPT, but we
put that over your traditional BI products. So
instead of maybe getting like a summary or just
pure kind of text -based output or even image
generation, which we see really commonly out
there in general population, you're actually
seeing that the generative BI rather than the
generative AI can analyze the data for you and
can tell you a lot more stories about data and
can do it in an instant. So instead of having
to be an analyst and taking a long time to create
an analytics package and to create a narrative
around that, some of the tools that we're seeing
from some of the big tech players are allowing
you to do that in seconds instead of days. So
really cool in terms of technology, but it's
also in its infancy. So I don't imagine that
that's going to be something super widespread.
just yet, but yeah, we're at the forefront and
doing our best to create some pretty cool stuff
for our stakeholders. I'm sure that, you know,
for your applications as well, would that make
your life easier? Yeah, I mean, as soon as you
said that, then I was like, wow, I mean, I've
worked in marketing now for like 15 years. And
the amount of times I've looked at an Excel sheet,
I've just been like, what is this trying to tell
me? Because And naturally you would think if
you are kind of running a marketing campaign
or you've been briefed with getting something
out there, the first thing you would do is look
at what data you already have and how you can
make that into a story and spin that into X percent
of whatever in order to make an angle for any
PR or any marketing pieces. So you might at times
are looking at a set of data thinking, how can
I make this tell a story? Which it sounds like
you're looking at tools that literally will pull
out those stories for you and pull out those
connections. And that is just so exciting. It's
mind blowing. And I also think from the marketing
space, we live in this world where there's so
much pressure on us to get results. There's so
much emphasis on almost like marketing just being
social media. So let's create this amazing TikTok,
but then you're not having enough time because
you're constantly chasing the viral moments,
the trends. There's not enough time in the data,
analyze the data. So if there's tools that you're
talking about that it does that for you at click
of a button, then naturally we're just going
to start getting better marketing results because
we can still chase the trends and the viral moments,
but we can support that with actual understanding
of the data and what's going to land in terms
of seasonality and getting better results. So
that is like so exciting. I can speak from everybody
in the marketing world. I'm absolutely buzzing
that you said that Rebecca, because that thankfully
for me just confirms what we're trying to do
within my department. We're very much wanting
to put the, the owners back on folks within the
business, folks within their area of expertise
to do the things that they're experts at without
having to spend so much time crunching numbers.
And obviously you're going to still need folks
who can do that. So we need folks to verify output,
do the more complicated stuff. But if your, if
your day role is being a marketing expert, but
you have to spend a lot of hours analyzing stuff,
that's absolutely where. this kind of generative
BI solution can come in and just make, hopefully
make your life a lot easier. Yeah. And I think
that's it. I think, again, like I say, I'm talking
a lot about LinkedIn, but it's where a lot of
marketing people spend their time and offload.
concerns. And I think there is a natural concern
of, oh my gosh, but if I'm not spending hours
looking at data spreadsheet, they're not going
to need me in a full -time role. But then it's,
I think the kind of luxury of marketing is that
you might have all this data behind you. You
might have all this kind of automation, but if
you've not got a story and you've not got the
human appeal, it's never going to land as cliche
as it is people by people. And I think it's stepping
away from, oh my goodness, this is a warning
sign that these... automations are getting cleverer
and better equipped but seeing it as a way that
how can that help you but knowing that you're
always going to be secure if you can sell a story
on personality as well as data and backing. So
yeah, no, it is an exciting space to be in but
it doesn't stop the natural concerns of all the
taking over the world. I'd like to think they
can't always tell a really personal story and
get that kind of really emotive language. which
we're looking for, which I think chat GPT falls
short sometimes. I think you can really tell
when you can see a chat GPT post over an actual
person's post with spelling mistakes and emotion
and just that personal element that we all crave.
Oh, yeah. And I mean, the way that a large language
model works, right, is it gives you the most
likely next word within a sentence. It's all
really cool statistics. I say really cool statistics
as if many other people will think statistics
is cool, but in my point of view, it's really
cool statistics. I love that Rebecca, you're
on the same page as me here. The nature of statistics
is never going to be 100 % accurate and because
it's going to always give you that most likely
next thing, it means that they're all going to
sound the same. From a marketing point of view
or from an exact summary point of view in your
world or my world, just relying on AI outputs,
you're just going to create an echo chamber of
everything sounding the same. So like you say,
having that personal input absolutely is still
that USP of what humans can bring to it and is
why AI, as excited as I am by it, being in an
AI department is certainly for the foreseeable,
always going to be a partner to help you do things
for you rather than, you know, replacing entirely
what we can do as people. Yeah, that's so exciting.
I think one grey area for me as well is the like
learning element. So I'll just say a statement
now and you can correct me and absolutely elaborate
on it. I'll just go for it. So for me, GPT, am
I under the impression that and is it the right
impression to be under that every time I'm asking
a question, is it learning kind of my skill set
and my understanding in order to be more intuitive
next time I ask a question, it's almost preempting
what the answer is going to be based on my previous
conversations with it. Yeah, I think so. Certainly
some of the more external tools are using that
kind of feedback loop of you saying this isn't
right as an answer or you're giving feedback
to help retrain it to give that more personalised
experience. But again, I don't think it's ever
going to quite be perfect, right? It will always
be always have slight levels of imperfection.
I think that it's quite interesting. We're in
a state of the world where we're constantly recommended
things and everything is so hyper -personalized
that with AI coming in, it's almost doing the
opposite and making everything quite generic,
right? So from a marketing point of view, that's
got to be a challenge for yourselves where you've,
I'm sure hyper -personalization is something
that is quite difficult for you guys to have
to... get through. And so I'm wondering whether
or not that's still a challenge or if AI is helping
or hindering that. Yeah, that's such a good question.
I was actually speaking to a client the other
day about that, about how we've spent so much
time in this space of personalization, everything
should be personalized. And then now we're going
back to this place of just anything for a quick
win, anything for a sweeping response, which
obviously AI helps with. But if I come back to
kind of my almost passion, like soul's purpose
when it comes to marketing is that it's almost
as though we're in a position now where marketing
is deemed as a luxury and it's, if you can afford
it, great. But if you can't afford it, get rid.
And I think it's a hard space to be in, in the
sense of maybe you just need to refine what it
is you're doing from a marketing perspective.
And if AI can help make that better, whether
that is coming away from this personalization,
but going more automated. If that's going to
help you get better marketing results in the
time that you've got and the resource you've
got available, then it's just weighing up what's
more important to you as a business, whether
it's the personalization or getting things done
quicker and within time and resource and infrastructure
that you've got. Because a lot of businesses
don't have the luxury to invest in more time
when it comes to marketing. And unfortunately,
we're seeing roles being lost. marketing departments
being reduced. But yeah, I think it's just, it
comes down to the person, especially on the marketing
perspective, what's important to the business.
Is it getting marketing results in a time that
works or is it personalization that takes longer,
but you're not going to be getting this kind
of, this fixed flow of results through? Yeah,
no, I absolutely appreciate that. And, you know,
on that same scene with marketing almost being
deemed as a luxury rather than a necessity for
a lot of companies. Learning always falls into
that bracket as well, right? It's one of the
first things I've, in my experience, since joining
the workforce, however many years ago, I don't
really want to say on a public podcast, I'm joking,
but learning also tends to take quite a cut,
right? Well, yeah, I think it's so interesting
talking about the AI and the mechanics of AI
and how it can help, I think. It's so interesting
as well to learn about the different ways of
using AI to help our like everyday lives. And
I don't know about you, Rachel, but I'm currently
solo parenting for five weeks whilst my partner's
working away on a big job. So I've got an almost
two year old and a very, very hard work dog.
So I actually am using AI to help me do some
meal preps. I'm like going in there and I'm like,
can you... prep me some meals that are going
to be for one person, not going to leave wastage
of food because it's really hard cooking for
one. So I'm just using it in everyday life as
well. So although I'm seeing the benefits of
using it for my role in marketing, but also like
just everyday life gets surviving. Like you can
save me a weekly food shop plan and just do it
for me within seconds. I'm loving that. Sorry,
say that again. Do you use AI on a personal level?
Oh, yeah. I think I use AI more than I realize,
to be honest. I try and be a good, sustainable
person and not use it instead of a Google search,
but I do definitely still use it, especially
to help me craft things and help with inspiration.
I'm quite a numbers person. I come from a maths
background, a data background, so if I'm trying
to do a LinkedIn post or... If I'm trying to
come up with something and create a LinkedIn
post, which was, I think, the best example of
that. If I'm trying to create a LinkedIn post,
then I'll use it to help me structure it and
to give feedback on whether or not this is useful
or whether or not people will actually want to
hear it. I definitely use it for that kind of
point of view. I haven't used it for recipes.
My husband's the one who does the cooking in
the household. And I'll suggest maybe he tries
some AI recipes. We'll see what we can come up
with. Yeah, definitely do it. And then for like
exercise plans as well. If I want like a low
calorie recipe, I'll say, can you swap this out
and make it low -cal? So I'm having all these
conversations with ChatGPT and I'm like, what's
the world come to? I'm like, let me just ask
ChatGPT really quick. What I do, I do really
like using, if I do a normal Google search, I
do often just look at the Gemini summary that
comes up rather than actually looking at the
links. I wonder how Google's customers are enjoying
people doing that and not getting the click throughs.
But yeah, I definitely kind of do that a lot
more often, I think, than using chat myself,
because yeah, I try not to, unless I feel like
I need an AI to really help me with something,
I do try not to overuse it, right? Yeah, no,
I think that's that's exactly it. You could definitely
overuse it and become so reliant on it. But I
think that's so interesting what you just said
there. Like, for example, if I'm asking ChatTPT
for a list of recipes, I'm not visiting the moneymaker
pages of different e -commerce websites having
recipes on there in order to catch audiences'
intent and get them to purchase what they're
selling. So that's so interesting, isn't it,
to think that we're actually taking away the
opportunity for businesses to grow. My mind's
whirling now of like, I'm sure that the agencies
out there or people who specialize in that, in
ensuring that people still visit in third party
websites and not just landing on ChatTPT and
going nowhere else. But yeah, it's so interesting.
I feel like, how do you find it working within
data? Because I feel as though when I was doing
my research ahead of the podcast, it's such an
underrepresented space to be in when it comes
to women in data. Do you find that? Is that relative
to your role? Oh yeah, 100%. I'm in the AICOE,
which couldn't be more of a central place for
data and AI, right? And within my team, I'm the
only woman in leadership, which comes with its
challenges, right? It's nice to have other women
to talk to. You know, I don't speak to as many
in the day as I would like. So Rebecca, this
is a nice treat for me on a Friday afternoon.
privileged to be here and be that for woman for
you. No, absolutely. And, you know, I've only
been in this leadership position since officially
since October last year. And I've definitely
noticed that the way in which I communicate and
the way in which I am performing within that,
that space. is changing and I don't know if that's
because I'm developing more as a leader or if
it's because I'm just becoming more used to being
in an all male background or all male team. Whereas
if you're a woman in data, you're kind of used
to often being one of few women in the room.
I'm pretty sure it's something like one in nine
people within a room in data are female. And
yeah, that comes with its challenges, right?
But I think that the most important thing that
we can do as women in data is to pave the way
for more women to have data careers and to join
us on our journeys. I'm very conscious that being
the only woman on my leadership team, and by
the way, this is not something that any of my
male peers or my bosses have made me feel directly.
This is not direct feedback that I've received.
But I certainly feel a level of responsibility
that me performing well isn't just about me performing
well. If I perform well, I show that women can
also perform well. I love that. Yeah. I feel
like there's always that hidden pressure, isn't
there, in a woman in a man's world, so to speak.
And I don't mean that negatively. I just mean
that in, like you say, one in nine. And we have
that hidden almost like pressure, don't we, to
represent. And I think it is a... wrongly or
rightly you feel like you ought to lead the way
and shine the light for the the upcoming women
behind you that it's okay you can do well and
you do fit perfectly within this space that immediately
when people think about data or tech we think
of males and then I just think, well, it doesn't
have to be the case because we've got Rachel
out there flying the flag. Absolutely. Angie,
Rebecca, you know, we're all flying this flag
together, right? We're fighting the same fight.
I mean, I was quite impressed earlier when you
said, did you say 62 % of marketing roles are
filled with women? Like that must be, I would
love for us to do like a Freaky Friday. and not
just have a chat on a Friday, but actually do
a Freaky Friday and be in each other's shoes
for a day or two. I'd love to know what that
feels like because I don't think I've ever had
that in my career. Yeah, it's so interesting.
It's like you are. I find a lot of marketers
that I speak to are women, but I think that's
just naturally almost like an echo chamber of
what is I'm looking for. But then when I was
doing some more research into that, there's actually
a stat that there's a difference between those
within, generally speaking, 62 % of people within
marketing roles are female. However, when it
comes to the junior senior exec conversation,
it actually changes to 69 % being in junior roles.
So actually, when it comes to the leadership
teams, it's predominantly men. And that to me
was just eye opening because I just think, wow,
it's almost as if, for whatever reason, women
kind of enter their careers, the full of passion,
full of enthusiasm, sole focus on careers, and
then we get distracted for one reason or another,
just natural growth and progression on a personal
level. And then do we get to a point where we
kind of settle or we don't push that kind of
invisible ceiling further to get to those leadership
roles? And so when I saw that stat on paper in
front of me, I was like, it's so kind of relative
to that's actually what's happening. But yeah,
it's an interesting one that do we... not pushed
that further to get to that leadership role.
And I mean, personally speaking, I've been in
junior roles in marketing and being rooms surrounded
by men and never felt like I could have a voice.
I've been in leadership roles in marketing, and
being in rooms where I've had a little bit more
confidence because I'm on the same level of them,
but still being in positions where I've been
spoken over, or I've been told, Oh, I'll just
answer for Rebecca. And it's like, well, no,
like, is that male female thing is that Is that
evident of someone believing that because they're
in a leadership role and male that they've got
more say than a female? I don't know, but it's
just the things you come across in your careers
as a woman is completely different to what a
male would come across. Absolutely. It's so challenging.
And especially as you become more senior, you
feel more obligated to try and call it out as
well, right? So you want to try and role model,
but you also want to help other women progress.
You also want to call things out whilst not being
seen as disruptive. It's a bit of a storm, right,
to try and navigate through. I mean, one of my
favorite things I think that I experienced very
early in my career was this is when I was working
for a tech company. We had an external woman
come in and do like a woman in tech conversation
with quite a few of us in the audience. And she'd
worked with the likes of Bill Gates and Jeff
Bezos, you know, some ridiculously senior guys.
Couldn't get more senior in tech, right? And
my favorite thing that she said was, quite frankly,
none of them impressed me all that much. So if
you sit there and think that they weren't that
impressive, then that really helps you realize
that you are also an expert. You have that seat
at the table that you deserve and they're just
a guy. You're just a person as well, right? And
I brought that into a recent meeting I had. I
had a meeting with someone very, very senior
at Lloyds Banking Group and my boss was trying
to kind of coach me and say, you know, this is
senior person. We've got to make sure we do it
right, but don't worry about it. And I was like,
he's just a guy. And my boss is like, I mean,
that's a great way of putting it. He is just
a guy. He's a senior guy. So we want to do the
right thing. But, you know, I think that having
that kind of perspective can really help. But
when you're in the moment, right, when you're
in the moment, when you're in the room and you're
being and you're being spoken over or or whatever,
that kind of feeling and that pre -thought can
very Much leave is quite quickly, can't it? But
as long as we keep reminding ourselves of that,
that can hopefully help. 100%. We all put our
pants on one leg at a time, don't we? Let's be
honest. Absolutely. We were all babies at one
point. Yeah, 100%. And I think that's it. I think
it's funny how I have a very similar approach
when it comes to marketing. So I'll work with...
B2B businesses and they'll say, oh, we don't
want to be on TikTok. We don't want to go on
Instagram or we don't, then our target audiences
isn't there. I just think at the end of the day,
we're all human. We're all scrolling at the end
of the day. And like when you was talking there
about how they're just a guy, like I think it's
almost like taking away the meaning of, okay,
they've got senior leader in their title or they're
running a business, but we're all still human.
We're all still doing the same things every day.
Like we all are just trying to survive out here.
Like, let's be honest. I think it is whenever
you speak to anyone, as long as you speak to
them with respect and understanding and you're
just trying to articulate your point, then what
can go wrong? Yeah, absolutely. Oh, yeah, we
just had a question through, which is we live
in a data age where we've had more data than
we've ever had. How do we find the signal in
the noise? I don't know how you interpretate
that question, Rachel. Yeah, it's a very good
question. I think that we've got a lot of data,
but it doesn't necessarily mean it's of quality,
right? And I think that's an easy trap that we
can fall into is we've got so much data that
can help give us, be it marketing signals or
something else, right? To put it into your perspective,
Rebecca, but really it's the whether or not the
quality is there is the important thing. And
that really, I think, makes a huge difference,
particularly in the applications that I'm doing
and creating general TBI products. People think
that AI is going to fix data quality issues.
People think that Data quality is just having
enough rows in a data set, right? But it's not,
it's about the ethics behind it. There's so much
to data quality. I'm not sure if you've got some
experience with this, Rebecca, within the marketing
world, but I'd hedge my bets that you do, right?
Yeah, 100%. And I think data quality is so interesting.
So I, at one point in my career, worked in PR.
So we would work on press releases and we would
literally just throw out a Google consumer survey
and ask for data on a certain subject. And we
put that into a press release and we'd send that
out to the masses of the press world and everyone
would want to validate the data. So how many
people did you ask? What survey tool did you
use? Did it go to the UK only? And there was
so much validation behind even trying to get
that press release live within the media. And
I just think now, especially from the marketing
perspective, if you're ever working on a data
set and you just, I don't know, said to ChatGPT,
how do you determine this stat? Is that going
to then stand up when you're having those conversations
with the media, with the press, and they're questioning,
where did that data come from? Can you find the
source? And I think that data quality is so important
when it comes to marketing or selling a product,
especially when it's almost like, I'm struggling
to find the word, but so for example, with collision,
if you're trying to say your stats behind collision
and it's not reputable, it's not. sourced properly,
it's not come from a decent quality, and then
you're selling that product to the common consumer.
There's this integrity there that's not followed
through. So I think data quality is so important
when it comes to marketing and sales and consumer
relationships and how you validate that. Again,
I think this comes down to a learning opportunity
for people within marketing. So you'll have junior
marketers thinking, let's get our story out.
Let's just ask ChatTPT for this stat or this
piece of data and see what comes out. But an
actual experienced marketer with knowledge and
understanding of the AI world, which we're all
still learning, would never use that as a way
to market. You'd validate it with your own data.
You would most likely start within your own data
bank. So rather than asking third party for data,
have a look at what you've got in your toolkit
already. Have you got seasonality data? Have
you got feedback from the sales team of when
something boomed on the website? Are you looking
at your own website analytics? Like the quality
of the data should start at home. And if you
can validate it because it's your own data, then
you're going to have a stronger story to tell.
But yeah, that is scary when it comes to the
quality of the data. And I think in terms of
finding the noise and finding the right noise,
I think it all comes down to your purpose, your
why. From a marketing perspective, going back
to that human element, if you're any kind of
marketing material you put out there, it's all
based on your purpose, your why, where did you
start from, what you're trying to say. then your
business should hold up in reputation if it's
coming from the right place and the right integrity
and not just because you're hoping to get a quick
viral video out there or faking a stat just to
get a click. Like, I'd hate to think that people
do that, I'm sure they do. But yeah, I just think
it always comes back down to the why you're doing
something and then the quality of the data should
represent that rather than quick fixes. Yeah,
absolutely. We have a very similar challenge
where, where I work. So I work for Lawyers Banking
Group, right? So we've got a lot of customer
data. That's a lot of sensitive customer data.
So we have to make sure that the data we have
is of high quality and is classified and governed
and have all of these additional controls in
place to make sure that we are operating in a
really kind of safe and secure environment. absolutely
data quality has to be at the forefront of what
we do. Otherwise, it's that old analogy of if
you put crap in, you'll get crap out, right?
100%. So yeah, I feel like that's been so interesting.
It's been eye -opening, definitely speaking to
someone who's at the forefront of a tool that
I use almost every day, or one of many future
tools. But I think for me, for data and almost
like... just as a final note in the marketing
land of data would be that we need to invest
in giving women who hold 62%, as we talked about
throughout the podcast, of roles within marketing,
just the space and the... the skill sets and
the resource and the infrastructure in order
to spend time in that space. So rather than just
churning out lights on content for the sake of
it, like let's allow them space and learning
to develop their marketing abilities through
data and what's available to them. Absolutely.
I love that. Yeah. So I think my kind of final
thoughts are we talked about data and AI a lot
and for women in learning, something that I come
across a lot is the imposter syndrome of getting
into a data career. And I would say that right
now, everybody in a data career is having some
level of imposter syndrome thanks to AI. So we're
no longer at a disadvantage naturally for having
that imposter syndrome. Everyone is feeling it.
This is a great opportunity to re -skill, up
-skill and become an expert. There are so many
things coming out there in the data and AI world
that are new technologies that are really exciting
and embracing them early and being at the forefront
is going to be a very, very cool place to be.
And I don't know when we'll have the next revolution.
We're in the AI revolution now. Let's absolutely
go for it. Yeah, 100%. Oh, thank you, Rachel.
I really enjoyed that. Absolutely, Rebecca. It's
great to meet you and to really understand from
a specific... marketing perspective exactly where
all of these kind of issues and challenges are
coming from. I sit in the center, I have a slight
idea, but actually hearing it from you has been
super eye -opening. So thank you so much for
your time today. Well, thank you. As Rachel and
Rebecca closed their conversation, they left
us with a clear message. AI isn't the end of
human creativity. It's a new lens for it. The
power of data and AI lies not in replacing people,
but in amplifying what we do best. That's asking
better questions, making smarter decisions and
telling stories which connect. If you're rethinking
how AI fits into your work, or how to use data
without losing the human voice, we hope this
episode will stay with you. Both of our guests
have vast knowledge on this topic and left us
with lots to think about. We're always keen to
hear the thoughts of our listeners, so please
do let us know. A huge thank you to both Rebecca
and Rachel for their time and you'll find all
their details along with links to the subjects
that they spoke about in the show notes. We're
back in a couple of weeks and next time it's
The Fun One. As always, thanks for listening
and we'll see you again soon.