S2-E132- AI Is A Tool for Human Collaboration and Empowerment - Karla Taboada - Champion Mindset Collective

Episode Transcript
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(00:02):
Before moving to Australia, I was working closely with the
networking group. You can work with people from
small businesses and I saw that they first need increasing
sales, marketing culturally because of the movies of the
past. They believe that #1A is
difficult or AI is going to takeour jobs.

(00:22):
They have some kind of negative feeling about what are these
technologies. So much information, people
don't know how to start. That's the same with the eye.
A is here to help you if you want, if you invest time and
effort to learn about it, definitely can help you.
So keen now to support women leaders in the AI governance

(00:44):
space, especially in non-technical leaders that you
know strategic level. They have these important
decisions, meetings, discussionswith their teams.
Kids have their curiosity, right, which we often as adults
lose right, because we're so serious about things.
And they were so proud and they were so inspired to keep
learning and solve our problem using AI.

(01:04):
And they bring so many good. The fact that we do usually as a
society, thinking that just the adults are the ones, that we
know everything. Now a lot of people will be
saying to themselves, I don't need I, it doesn't impact me.
You are already using I, I imagine that you have a phone.
Yes, if you have a phone, you are already using AI and you are
using tools that are collecting data that's been used to train

(01:26):
AI models. I can help you to take ownership
of your learning. Welcome to the Champion Monthly
Collective podcast. What if I told you that
artificial intelligence isn't just for tech giants, but for
small businesses too? Today we're diving into how AI
can help small, medium enterprises not just survive,
but thrive in today's fast-pacedworld.

(01:49):
Whether you feel overwhelmed by tick or just don't know where to
start, this episode's for you. In this world of moving faster
than ever, AI is no longer optional.
It's essential. But for small and medium
businesses, adopting a I can feel like stepping into a whole
new universe. How do you even begin?

(02:09):
What tools actually make a difference and what pitfalls
should you avoid? Today we're joined by Carla
Taboada. Carla, you are a global force in
the field of data and AI. Your journey has taken you from
Bolivia, Canada, Japan and New Zealand, and even now Australia.

(02:30):
That's true. You've served as a research
engineer at the United Nations, held academic posts and formally
we're the the Head of Data Science at Auckland Transport
where we work together. That's true.
Yes, today you're the Director of Data and I at Infrastructure

(02:50):
NSW and the cofounder of Domitila, Domitilla Tomatillo
Technologies, and an organisation that's helping
businesses and leaders navigate AI with confidence and clarity.
Carla, you also a proud mum, a champion for Woman Antique and a
passionate advocate for bringingrobotics and AI literacy into

(03:15):
schools and communities. It's a pleasure to have you here
today on the Champion Mindset Collective podcast.
Thank you so much. Thank you very, very much.
It's my pleasure to be with you as well.
Yeah. So as I mentioned, we worked
together, I think I was there for about 3 1/2 years and we
worked most of that time to alongside each other.

(03:37):
That's very true. We started, if you remember
organising these world shows forthe business because that time I
started building the I practise data science practise at the
client transport. And there was number clarity
about what is the difference between reporting and analytics

(03:58):
and AI and data science. And together we organised these
sessions with different customers, internal customers,
to explain what's the difference, how what we are
doing at the moment is analysingthe information that of the
past, right? And we can produce a good
report. First understand where we are.
However, we can apply AI and data science to use these

(04:21):
historical data to predict HMM and then based on that text,
take the informed decisions about what business.
Action, we'll dive into that a little bit later, but thank.
Thank you so much. Carla, I'd like to ask you about
your journey in life from a child to this point.

(04:41):
Like what would have been your highlights of your life?
What got you into data analyticsand AI and data science?
Have both you and your husband are both professional and PhD
and data science? Is that correct?
Yes, that is true. Hmm.
As you said, I'm originally fromBolivia, from the Andes, Spartan
and young girl from the mountains.

(05:02):
And as you can imagine, that time which I was a children, the
80s, it was a very hard time fornot just for Bolivia but for
Latin America. That time in Bolivia we have
almost 70% of the population under the poverty line.
Our parents were very concentrated in basically

(05:25):
surviving rather than giving opportunities to children.
And I was a very keen girl, keento study, keen to learn new
things. And I was usually asking, can I
learn English, can I learn French?
Can I learn this or that or playin piano, whatever.
And the answer was mainly no, nostory, no, we cannot afford, no,

(05:47):
no. And as I said, not because my
parents were bad people, but because it was a really hard
time in morning for everyone in general.
But from that time, because I received so many notes, I
realised when I was I think 1314years old, that if I'm going to
achieve something in life, I it's, it's, I have to make it

(06:11):
myself. Hmm.
I have to find my way because I cannot rely on others.
Even though I love all of my parents but I realise they have
a different priorities so I needto to rely on myself and that's
when I started. So of course I fight for my
education. From that time I wanted to study

(06:32):
in the university. I was very good at maths,
mathematics and I was so fortunate to have a really
fantastic teachers at the school.
If I can share, I have one teacher, his name is was
Escalante. If I don't know if you watched
the movie Stand and Deliver, he was a Bolivian teacher that he

(06:54):
was the inspiration from a Hollywood movie.
Hmm. That he really believed in their
students and what they can become, what they can be.
And he was very strict and he was helped them to learn
mathematics and all of most of them passed and enter university
and become a fantastic professionals in their areas.

(07:15):
And he was recognised by the President Ronald Reagan.
That time he received a medal ofhonour when he passed away,
President Barack Obama delivering a statement saying
how sorry the whole country was for his death.
So he and why I'm mentioning himbecause he was the brother of
the principal of my school when I was 10 years old.

(07:38):
So he that time he was already living in United States.
But anyway, from time to time hewent to Bolivia and gave his
mathematics classes 2 weeks, 3 weeks, 3 times per year.
And that's where I he put these ideas in our heads that you
know, you only need desired ghanas to improving life to

(08:00):
build your own path, that mathematics is a powerful
equaliser and so many fantastic.Yes, I have good teachers and
then after that I fight for my education.
We didn't have as a family a lotof resources, financial
resources. But I find my way to inter
university finish and then I find my way to study in Japan

(08:21):
because I leave ten years in Japan, 10 years in New Zealand
now in Australia as you mentioned.
But yeah, I, I, I when I believein something, I find my way to
to make it happen. That's amazing.
It takes a lot of dedication andbelief in yourself.
Yes, Right. Yeah.
And so in Japan, what were you studying?

(08:42):
Just taking on your studies of data science further.
That's a very good question. I am originally a systems
engineer, Systems engineering inBolivia, in Bolivian Catholic
University for five years. They decreased.
There are five years for engineering.
The dream was always to study inJapan again for now was 10 years
old. I watch a fantastic TV drama,

(09:04):
Osheen, and that brings me I want to study something in in
Japan, but it went to was at theuniversity and that time I
entered to a laboratory about evolutionary computing.
That was something absolutely new for me with my husband
together. My son was one year old.
The time we were two students went up with a baby that find

(09:27):
our way as well to, to to study.But we were so fortunate that we
find such a fantastic teacher. His name is Professor Kotaro
Hirasawa. He was innovating using a I data
science, machine learning techniques to analyse peak data.
So that's the first time that I was introduced to data mining.

(09:49):
And I can tell you that I'm already 20 years in the field of
science. From that time 2005, I am
witnessing the evolution of these technologies and that time
it was data mining, knowledge discovery process.
I was fortunate to work with people, professors like

(10:09):
Professor Zade. He was the father of fuzzy
logic. He worked with my professor at
the university and that time, the first conference that I
attend about NLPLMI will explainit was, for example, words
computing, because that time it was very common to compute
numbers, numeric data. But then we were evolving into

(10:33):
analysing also words and then video and then images, right?
So I witnessed how from words computing became text, text
analytics, text mining, then natural language processing,
then large language model that now are touché like
technologies, right? So I can tell you that the last

(10:54):
10 years I'm, I'm witnessing theevolution of this fantastic
technologies and I contribute a little bit with my sand of grain
to do the research and innovative techniques.
But then after my studies, because in Japan, I did my
master PhD and postdoctoral degree, they moved to Canada one
year to continue when another postural degree, but also work

(11:17):
for a company as a project manager in NLP technologies and
then in New Zealand. But from academic background, I
jump into the industry to apply now to apply these technologies
to solve business problems. So that's how I enter to the
world of AI. So it's been so fortunate to

(11:38):
study in Japan in a university that was connected to this
fantastic minds in the world. And then I keep learning and
applying. And then now I believe that my
my mission is to to ensure that we use technologies to solve
important business problems, social problems focusing not

(11:59):
support society, applied scienceand technology for social good.
Yeah, and responsibly as well, right?
Yeah, you mentioned solving problems.
Tell us about maybe two or threethings that you're really proud
of that you have solved, you know, in any of the
organisations you've worked. And I'd love to hear about some

(12:19):
of the things that you've workedon that have that have really
made a difference and impact on people's lives.
Thank you so much for that eye. Usually that's very interesting
because my once I decided to jump from the in, from the
academia to the industry. I work mainly for government
organisations, right? I work for Inland Revenue in the

(12:40):
past. I work for Auckland Transport
now Infrastructure is as well, which is also a government
organisation. The work was mainly supporting
people to do their work smarter,not harder, but something that
I'm really proud of. I can tell you what I did to

(13:01):
them for client transport because as a part of my
strategic plan, which areas we should focus on, data science
team, supporting the business. I realised that number one,
focus on safety, making our roles, our roads safer, right
for people. Number two, it was supporting,

(13:22):
listening, understanding our customers and then network,
network optimization. But the second one, the
listening and supporting our customers and very keen to that
because as you can imagine, at Open Transport we receive so
many interactions, complaints, interns, yes, a lot of daily

(13:44):
from people from different segments.
And I was so keen to use this information, this rich source of
information about how we can useit, analyse it and improve,
improve. How can we improve our services,
products on processes that we are doing.
One specific example that made me really, really proud is that

(14:04):
our work that was for schools tobuild on a solution that was
analysing complaints coming fromparents, teachers and students
themselves that we store in a specific cream database, right?
And what we that time we had a specific team, the community

(14:24):
transport team at Auckland Transport that they have to deal
with, they have to visit the schools every year several
times. And it was true that it every
time that they go, they win. They were with empty hands like
how are you? How can we help?
And usually the response was youshould know what our problems.

(14:45):
I told you last year, but a different person came.
So why you don't know? People were absolutely
frustrated, as you can imagine. But what we did is would we
build a solution, specifically adashboard where we were
analysing, identifying from all the complaints that we receive
in identify using NLP technologies, for example,
natural language process technologies that analyse

(15:07):
identify from thousands. These are related to schools.
What are the the common topics themes, whether the issues,
problems on problems. So what would be at the end, it
was a you know, map. You can see the areas in
Auckland where you can see the top ten schools that are having
issues with transport related issues, which were what the

(15:30):
schools and then what are the main topics and what we can do
about it. So every time that this
community transporting gold on top with the schools, they can
say I know what are your problems.
Now we are doing this and this and that to solve you what give
us your input input please. So it's all work in
collaboration. So that's what we did from for

(15:51):
schools, listening and understanding our kids, right?
And that was my point always that usually when we talk about
customers, we imagine all peoplelike this, but kids, children,
school students, of course are our customers as well.
So it was listening and understanding their problems,
children problems, so we can improve our.

(16:12):
Yeah, I do remember you working on that and completing the
before I left work and transportand you know what a proud moment
of being able to, you know therewould have been doing keyword
analysis and stuff, right? No, not keyword it we were
using. It was not as advanced as Llms
now, but it was some natural. Language natural.

(16:36):
Language to topic modelling Applying techniques like topic
modelling to find the common themes and topics in the data.
So let's start with a little bitabout the mindset.
Like why do you think so many small medium enterprises feel
overwhelmed? Will intimidate intimidated by
I? Because it's very true that

(16:59):
nowadays everything is about a I.
In the media, television, magazines, everything's about I
and people is reading is is theyare keen to learn and
understand. But it's the the articles,
maybe, maybe some might be superficial is not enough.
And it's very true as well that culturally, because of the

(17:22):
movies of the past, they believethat #1A is difficult or AI is
going to take our jobs. They have some kind of negative
feeling about what are these technologies.
So I think it's so much information, people don't know
how to start and this this negative feeling that this is

(17:46):
something to to do something negative in my life.
So I think that's the common. Yeah, yeah, yeah.
And so many people are like scared of I I scared the signs
people thinking that I was goingto take the role jobs.
Yeah. And you know, I just tool, it's
an assistant here to help us. You know, that's the mindset

(18:08):
that they should shift now that they are is that might be a
helper. Yeah.
And that's the difference. When I see when I was in Japan,
I told you when I was living 10 years there, that in Japan,
technology in general, it was always a helper friend because
they're very busy. They're work oriented.
They work really hard. I love, love Japan, but they are

(18:32):
so busy. And technology was always a
helper. Any piece of technology, a
washing machine, a better washing machine, a better rice
cooker, any piece of technology is a helper.
Absolutely. Yeah, and that's the same with
the eye. Yeah, is here to help you if you
want. If you invest time and effort to
learn about it, definitely can help you.
That's right. And the last episode I episode I

(18:57):
did was around with Monica Televisi was that air doesn't
judge you. Hmm, your background it you do
right. And so, yeah, so we've got,
we've got to shift our mindset around what AI is.
And it's not there to have negative consequences on us.

(19:19):
If we use it responsibly, then it's going to help us.
That's that's the detail as well.
This is a collective work. We learn stage of time that if
we are proactive, all of us working together, small
businesses, medium businesses, people in the I feel like me for

(19:41):
a long time, government and academia working together.
So we ensure that we use for theright thing.
We can go for a really fantasticperiod where we can have a
abundance of new jobs, new possibilities, but.
If we don't invest that time andeffort working together, we can

(20:04):
go from a different. Path, yeah.
So we we need to be very responsible now.
Yeah. And I see, I see there's a lot
of a lot of people see a competition type thing where for
me it's about collaboration, it's about working, like you
said, working together. When you work together, you're
stronger. You're, you're, you've got

(20:24):
different perspectives and you're able to achieve a lot
more together than you can on your own.
No human beings ever made it successful on their own.
There's always been someone behind them or beside them
that's, that's helped them become successful.
And so it's no different. So what is 1 mind, one shift and

(20:46):
mindset that can help them take the first step?
Excellent. As we just said, two things.
Number one, AI is evolving. These technologies are evolving
so much that our easier. It's designed for non-technical
users now. So it's just you to to take the

(21:08):
first step to learn one tool. You don't need to learn 10,000
tools is just one to make you understand what it is, how it
works, what are the limitations,because of course it has
limitations. And then and then it can help
you. It can help you.
It's not it's not difficult. You can do it then definitely do
it and it can help you. Yeah, absolutely.

(21:31):
I'm on a mission to help small business users because really
adopt and, and, and leverage I And so I would love to be able
to show people, hey, here's a tool that you can use and, and
be able to just just one thing. As you see, there's so many

(21:53):
tools coming out. Yeah.
There's so many large language models, there's everyday there's
new tools coming out. But The thing is, the way I see
it is, and like you said, is that it's not about looking at
the next shiny thing. Just find what works for you.
Yep, stick with that for a little bit.

(22:13):
And then it's like habits. You can stack another tool on
top. You have stack habits.
So like in our lives, we brush our teeth, we come out here, we
have showers and that's all on automatic.
But when we're taking on a new behaviour or a new, a new
learning, we, we have to consciously think about it.

(22:36):
And So what you, what we can do is we stack another habit on top
in the same way as that if you're using a tool and you
didn't become really comfortablewith it, you can then add
another tool that's going to help you, yes.
Yeah, it will be easier and faster, but please take the time
and effort to learn One tool, one tool, but the whole thing.

(22:59):
Who is building this tool? Where are they based?
the United States and New Zealand, Japan, China, what they
are using, What models are they using?
So learn the foundations first questions so much about the tool
that you will be using and then focus on your own business

(23:19):
problems or own needs. Apply it, use it.
If it's good enough, you keep doing it.
And then you, as you said, keep adding more tools, but start
with one. Tool start with one.
The benefits, limitations, risks.
Ohh. So you, yeah, you have a good
starting point. Hmm, Let's talk a little bit

(23:40):
about practicality over perfection.
How can small medium businesses get started?
Like what are the some of the low cost no code tools that a
small medium business can explore today in your opinion?
There are many good tools, the 1and I can mention again many,

(24:04):
many, many tools, but the one I can see that it is it can help
you is perplexity AI. You use it perplexity, right?
That's very easy to do. The people say it will going to
replace Google. Google search but it can help

(24:25):
you with the basics. Is there is a free version that
you can use it but there is alsoa paid version if you want.
It has deep research mode which is I think it's available in
other people as well. However, it can be your 24
hours, 7 days per week research assistant.

(24:48):
So you can give a query, you canget prompt.
And that's another skill that I encourage people to learn more
about prompt engineering. But you give your query, it can
help you to do a research. For example, compare this
product with this product. And good thing about perplexity
AI is that you give you once it generates the response, it

(25:09):
always gives you a citation, yes.
So you can you get the response,you understand, you analyse it,
but always you can go to the citation.
Links here to. Validate.
Hmm. Right.
To validate. It is true.
It's not true. Yeah.
What's the source of this information?
So that's the basics that you question, you get your response,

(25:32):
but you always go to the source of information to see if it's
not hallucinating, right? Because we already know that.
So it can be your research assistant, it can be your
marketing, marketing assistance to create content for marketing.
As you already know, before moving to Australia, I was

(25:52):
working closely with the networking group in New Zealand,
in Auckland, where you can work with people from a small
businesses, for example, beauty salons, skin care salons,
landscape owners. And I saw that the first need is

(26:13):
of course, sales increase in sales marketing, but they were a
little bit struggling on building their online presence,
social media presence. And that's where perplexity I
can help you generate in your content, for example, or you can
use comma AI to generate your images as well.
Combi is such a fantastic tool for marketing, for marketing

(26:36):
strategy. So start with with those tools,
don't I don't want to overwhelm you perplexity.
I get your responses, validate information to a market
research, generate, build your online presence.
You can generate your content, you can adapt just you can

(26:58):
generate your images as well. But always be transparent with
your customer. That's very, very important.
And that's where I think the we can discuss later being
transparent with you, with the customers, how you are using AI.
Yeah, absolutely. Yeah.
Can you share an example of a small medium business that

(27:19):
you've seen benefiting from adopting AI?
Sure. As I mentioned, working with the
a, the networking group, small businesses, One specific example
I can mention is that skin care clinic.
There was this really fantastic lady that she was very

(27:41):
successful before COVID and she was she was very caring about
her. Her customers at Cupid came and
she had to close and then she was starting again, but she
didn't know how to which their customers.
But she had the business cards of her previous customers museum

(28:06):
not about hundreds of the many, many from she said my I used to
ask please give me your businesscard.
And she had all these business cards with her.
So we said OK, what we can do istake a picture, all of it, put
in a table, let's take a pictureand we can use it to transform
this image. Into a.
Text and database of your previous customers.

(28:27):
So with that with her and then we help her to be a database and
from that we start with e-mail marketing, building the content
from Instagram or Facebook and so on.
And she reach the previous customers, they were very happy
to know about her. Ohh, you are in business again.
That's fantastic. She came back to her and from

(28:47):
there we will help her to keep growing and to build the
business again after COVID. That's amazing.
Yeah, that's a lot of a lot of people don't know what gold is
sitting underneath, underneath noses, right.
They've got so much. Yeah, value sitting there, but

(29:08):
sometimes it's just you're working so hard that you don't
even realise that if you were totake something like that and
digitise it and then be able to tune into text and into a
database like you said, and thenyou can automate the marketing
side of things. Yeah, so that's just amazing.
Thank you for that. What are some of the common
myths or misunderstandings around a I?

(29:33):
Again, that is difficult, that is only for technical people
that is going to to steal our jobs that in some parts you know
if if you don't learn. In Left Behind.
Yes, you will be left behind forsure.
But yeah, that's sounds very common, but that's the common.

(29:54):
Yeah. See here, here, we'll be
recording. This is at the Crate and Albany.
It's a coworking space, and I'vebeen working with the Crate on a
solution for the newsletter and up until now it was taking three
people over every two weeks, about 6 hours and title.

(30:16):
And we have worked with the platform owner and the support
team and we've built a an automated newsletter generator,
a creation tool, a workflow thattakes from six hours down to 5
minutes and 5 minutes one day. And we were having some issues

(30:38):
with AI hallucinating because whenever we sent images across,
because to create you had a title topic and we were asking a
open AI to pick the right image in a folder and it was
hallucinating and giving the wrong image.
Yeah. But as of today, we we solved

(31:00):
it. MMM.
And now it doesn't do that. So it's just learning the learn
limitations of AI and then what other tools can you use to to
help with? Am I working smarter as well?
That is true, and as you said, keeping the human in the loop
absolutely in the the response. Absolutely human.

(31:22):
You cannot trust for I to do everything for you.
Yeah, it can help you on some specific tasks, but you always
need someone yourself or somebody from your team to
validate their responses. Absolutely.
So the end of their process is an e-mail goes out to it, gets
uploaded into Zoho e-mail campaigns, and then e-mail goes
out to the approver who then validates it and approves it and

(31:48):
then it gets sent out. Yeah.
Yeah. So, yeah, so we've 2 to
newsletters, one for Albany hereand one for the Hamilton branch
and we've automated that. And so we're looking at taking
this, this tool or this workflowout to the market and, and be
able to help others as well. So if you are, if you're

(32:11):
watching this and you've, you'redoing newsletters and it's
taking you a long time, reach out to either colour myself
because we are looking at doing some work together as well.
So, yeah, how did the misconceptions that we just
talked about hold these businesses back?
Because they are living in fear.Right.

(32:33):
They are being paralysed by fearand they're not taking actions
forward, That's the problem. Hmm.
Yeah. And and I'm, I'm sure you've
seen a lot of people. Yeah.
Yeah, thanks for that fear. And it's not just, it's not just
a small businesses, I've seen that behaviour at big

(32:56):
corporations, big companies, theleaders that are non-technical
and they are so afraid about learning and asking questions
about the eye. They, yeah, they, they, they
don't want to recognise, you know, I don't understand this.
Please explain to me what are the risks or let's discuss

(33:18):
openly about what we can do there, what it is and how you
can use it at the organisation. Sometimes egos as well plays a
big, you know, roll there. But this is mainly the fear.
One thing I want to say is that fear is false evidence

(33:38):
appearing. Real fear is actually your
friend. It's giving your feedback and
life is about expanding. It's not about science staying
in your comfort zone because, and I've said this before on on
this podcast number of times, your comfort zone is where your
dreams go to die. So life is about expanding our

(34:03):
comfort zone, and a brain is an amazing organ and an amazing
tool, but it keeps us limited because of the fear.
And all we've got to do is keep showing our brain that if you
take a little step and everything's okay, nothing's

(34:25):
happened, just through alive. And then you take another scene
and eventually you can programmeyour brain to not limit you.
But they were just start helpingyou move forward.
So yeah, remember fears are justfeedback.
So I encourage you to push forward.
Yeah, understand why you are feeling that way.

(34:48):
Yeah. Yeah.
What is making you uncomfortable?
And then if you overcome, what'safter that?
What new things you can explore?Hmm.
And also, egos are not a bad thing.
We've been taught that ego is a bad thing, but there's a good
side of the ego and there's a opposite side of the ego, right?
So good and better, just opposites of each other.

(35:11):
We can use ago for good or we can use it for bad.
Yeah, I agree. So as we've just talked about, I
was making next question was around how do you how would we
reframe the the fear and we've just talked about that.
Yeah. The next question I have for you
is you specialise in AI, governance and inclusion.

(35:37):
Why is that so important in any organisation, but especially in
small and medium businesses as well?
Sure. In the same way that I'm feel
very passionate about applying science, science and and
technology for social good. I'm also very passionate about
using, using it in in the right way responsibly, right?
And specifically with the eye, you have to be responsible at

(36:01):
every level, not just a big corporation, but also SMEs, as
you just mentioned to understandhow can you use technologies
respond in a responsible way. And that meaning that means that
you establish a clear guidelinesfor yourself and for your team,
whatever the size, how, how we should use this technology, how

(36:22):
are we going to use these technologies, right, to create
content, to build images and so on and so on.
And then that will help you. Once you have that clarity, then
you can be transparent with yourcustomers and then you can keep
building the trust. That's that's the most important
you at some point you are going to use the eye AI is not going

(36:45):
away is here and we'll continue evolving and be more present in
our lives more and more. And you will be using a, I
believe it or not, if you want or not.
But then having that framework at your in your company
organisation and understanding what it is, how it works, how we

(37:05):
are deciding, deciding, decidingto use these tools so we can
keep it can be, can be transparent, we can be compliant
with the national international regulations.
But more importantly, how we cankeep building the trust with our
customers. That's why it's so important
because if you don't have clarity, you can affect, you can

(37:27):
impact on the the trust with their customers.
Yeah, clarity is so important. You're gonna get clear on what
what You. Yeah.
It's another tool that will be using is another technology.
Yeah. You need a clarity what it is,
how I want to use it and then share it with transparent with
my customers. I always been around longer than
we think, always been around forvery long time and we we don't

(37:53):
often we don't even take notice of it.
Like most of our most of our like to technologies that we use
or appliances that we use have aI built into it.
I've got a toothbrush brush thathas a I built into it and I
bought that toothbrush. Well not the head but the actual

(38:16):
toothbrush mechanical thing. I think about 3 years ago and
it's still going, but it's good.I built into it.
It can sense when I'm, when I'm going to head on my teeth and it
lights U, you know, that's all aI.
It's all artificial intelligence.
It's evolving, it's becoming generative.

(38:39):
And then what are the other stages of AI?
So currently we're in the generator of AI where we can
generate content and informationbased on I and I.
What are the other as a I advancements that are coming in
your mind? Next will be automating

(39:00):
automation and that's where we are in the agentic approach.
The agents that they cannot onlygenerate a response for you can
help you, but after that you cantake actions.
Yes, right. Therefore you can have a not
just a human beings in under your team, but you can have a

(39:22):
digital workforce and that's areas for example, Salesforce or
agent force are very powerful atthe moment that you receive a
complaint in your database. I can prioritise, for example,
the most people is really upset about your product or services,

(39:43):
Then it can see you can write, write an alert to a human being,
analysed the specific complaint from that person.
And then I can help you to draught an animal.
And then you can take an action to contact the person.
Always the human in the loop forsure, but it can help you to

(40:03):
take actions actions. And that exact thing, that exact
scenario, I'm currently buildingthat.
So for the crate, we have the Google business reviews and I'm
taking those Google business reviews and that's four stars
are above. We're looking at automatically

(40:24):
responding to those and then andthen sending an e-mail to the
team. And then if anything, that's
three stars or below that as a as a heads up of improvement.
OK. You know, and so we're, we're
we're currently working on something that's exactly like
what you just said, similar to what you just said.

(40:45):
And yeah. And so, yeah, there's so many
different applications. And you can also have individual
agents working doing different things but which can have multi
orchestra like a agent orchestration where you have
multi agents working together here.
In your example, of course, you are not receiving the complaints

(41:06):
using a I to analyse it and sendan automatic message to
customer. That's not where of course
suggesting is that it will help identify where are the problems
we suffering the problem. So you, the human beings, the
teams can make an action on thatone with the support of I, but
it's it's not automatically end to end.

(41:27):
I does everything in having the tools to support our work, to
make it faster and efficient andto to we can solve the problem
faster. Absolutely.
Yeah, Yeah. How can small business owners
apply ethical I principles without needing a technical
team? They definitely there are really

(41:51):
good resources that they can share after the conversation.
However, they need the support from someone, some expert,
somebody that, that, that can guide you because again, um,
many good frameworks, a lot of information, but they, they need

(42:14):
the support from 1:00. One person or a team of person
that can can can guide them at the beginning to for understand
to start right your AI strategy,for example, how you are going
to adopt AI in your in your organisation.

(42:35):
What prioritise the top three use cases where I can help and
then the air governance, what tools you are going to use, what
are the risk benefits, the cost structure in the long term.
So you need you need someone that can help you in the first
step. For sure.
You can read so many books, you can learn by yourself, but at

(42:59):
the end I recommend to have someone that you can trust that
they can help you in that first stage.
Yeah. And I think it's also important
that you mentioned a strategy and that's not an independent
thing. That AI strategy is part of your
business strategy, right? And so if you're looking at your
vision 1235 years ahead, Yep, how are you going to implement

(43:21):
or are you going to bring a I that into your strategy?
So they're going forward. It's part of your ecosystem.
It's part of your strategy goingforward.
It's a really beautiful exercisewhen I work with business
leaders because it's in this is,is for the leaders to remember
what their mission, what's theirvision, as you said, 134 years,

(43:45):
what are my business priorities?What are, what are, what are my
goals? And then how I can help.
And that's where you can build your AI strategy.
What data do I need to collect, improve the quality and so on.
And what are the priority use cases where I can help?
And then from there, you have tomap and you can start
implementing AI. But I think you need someone

(44:07):
that can help you in that first stage.
And then I was talking to a client last week and they were
like they were talking about, you know, how do they, how do
they and BI into the business? And I said, well, what is your
strategy? What is your vision going
forward? And so we're going to be working
with them on me and another, another professional would be

(44:30):
working with this client on thisdivision and this strategy.
And then how do we bring a I into that and make it so that
these security with data and butalso?
Sensitive, sensitive data privacy.
How you protect the data of yourcustomers, how you ensure that

(44:50):
you're doing the right thing, how you're compliant with GDPR
regulations and so on. And one of the things I like, I
built some AI agents for a client and three of his websites
and he's got three clinics and three of the websites.
And none of those agents are going out to the out to the to

(45:12):
the to the Internet. Yeah, there is solely working
within the knowledge base of that clinic and so I've trained
it to make sure that all the answers are coming from within
the knowledge base and not from outside.
And the customers really happy because he's like, you know, all
of his information is now this agent knows about and it's

(45:37):
looking like the doctor. Hmm.
And so he's he's quite happy about the way it's working.
But yeah, at some important thatyou know information there that
that is being communicated as isavailable information.
But you gotta make sure that anything that's that's that

(46:00):
needs to be secure as secured ina in a space, Yeah.
Yeah, and also data sovereignty,but means where your data was
that is being processed. Presses yes.
Because your data can be locallyin New Zealand region for
example. But if you use Azure Open I APIs
for example, where are you? Where are you sending your data

(46:21):
to be processed? And going to the States.
Could be or to another jurisdictions.
Yes. So you need to be careful when
asking those that is technical data security questions, but you
need to clarify. That so how can organisations
really like that's something that I've been asking as well.
It's like, how can organisationslook in the government, local

(46:43):
government, where we worked, we were very strict about data
going outside of New Zealand, Australia, right?
We have the cyber security teams.
Exactly. Taking care of that.
So how can small businesses look?
How can they protect their data?Like what?
What? What kind of systems?
Or your systems with the platforms that they use to

(47:06):
protect the data. That's where I I mentioned that
you needed someone, an expert inthe field that somebody
especially in the area that can support you have so many
questions that you don't know. Yeah.
Yeah. And and and the the the
specialist can help you to identify what are those areas.

(47:27):
That's right. Yeah.
So why is it so essential to include more women and diverse
voices and shaping I. Sure.
I It's not only women, it's not just diversity in terms of
gender, it's also in terms of ethnicity, in terms of age.
Are society building, developingtools that are impacting the

(47:56):
whole society, right? And it's not this herbal that
just a specific group of people is building something so
powerful that it's affecting a lot of people.
So the best is that as a society, we ensure that tools
any other social media platform,you have different perspectives,

(48:16):
different experiences, differentissues and problems from women,
from old younger people, from people from different countries.
At the end, different perspectives to race.
Where should be any bias in the data, in the algorithm, in the
system identify on time. So we don't.
So we know we have a positive impact with the with the tools

(48:39):
and technology perspectives. Now a lot of people will be
going, we'll be signing to themselves.
I don't, I don't need I I, I wasnot gonna doesn't impact me.
So what should I use? I hmm.
What would you say to those people?
You are already using AI. I imagine that you have a phone.

(49:00):
Yes, if you have a phone you arealready using I.
Yes, got Siri. Yeah, yeah, yeah.
And. You.
Well, let's. Go and you are using tools that
are collecting might be collecting your data, data
that's been used to train AI models.
So even if you don't want your already doing that, you're doing
it. The best is to get informed so

(49:24):
you can take better decisions about what you.
Can do with it. And how are you?
How are you educating people andwith us, especially with your
business? Excellent.
So Assad Domitilla Domitilla Technologies, we focus in
different areas. One of them is working with the
schools and teachers. I was very proactive, especially
during cold times because people, the kids, were at home

(49:47):
and therefore we deliver online workshops.
I was very fortunate to have a partner with company in Denmark
that opened the door for schoolsin Finland, in Denmark and
Spain, in Colombia, Latin American Bolivia.
So we I'm so, so keen, so passionate to talk with the
schools, school students, with teachers with with the students

(50:12):
33 areas depending on the age aswell.
But one more one thing is raising the awareness about
social media platforms for school kids.
How if you see the they, the next year is about adolescence
and I don't know if you watch itright, it's so hard to see for

(50:32):
some parents, but it's this verytrue that as a parent, we don't
have nowadays all the influence on our kids lives.
You have social media, you have Internet, you have so many
things and especially social media platforms that can have a
very negative impact on your child.
So you need to be aware that they are based on recommendation
systems, based on AI that is trying to understand what you

(50:55):
really like. So you can bring you more and
more about that kind of content if and that can harm you, right?
That's, that's one, one thing awareness about social media
platform for school kids #2 is awareness of the new careers and
areas because of data and AI. As you can imagine, as I'm data

(51:16):
scientist, but I work with machine learning engineers, with
data governance managers, with data engineers, with heists.
All of these are new areas, new careers that students mainly
they're not aware of. And they are, if they are
exposed, they can maybe explore and they can find a new passion.

(51:37):
Probably, right? But at least it's not my
intention to make everybody an expert, but at least to expose
this new areas indicate people so they can explore a little bit
and find something very good if they like it.
So it's raising the awareness with the school students about
the the good and the bad side ofsocial media, new careers, new

(52:00):
opportunities and how they can apply it to solve problems.
Because that's the beauty nowadays that we have the power
of solving problems using technology is easier and faster
now. And each of us, they have we
have our own unique experiences,right and own community on
family own problems. And if you are keen to learn,

(52:25):
keen to apply, you can solve a business problem for your family
and maybe for other families as well.
This work, right? So I work with the schools doing
this, but I also work with womenleaders.
I'm so keen now to support womenleaders in the AI governance
space, especially in non-technical leaders that you

(52:48):
know, a strategic level. They have these important
decisions, meetings, discussionswith with their teams.
And I want that women usually, you know, not everybody, but of
course, mainly we, we care so much about society.
We care so much about other people.
And then I want them to have thetools and resources and then

(53:09):
understanding the learning to push for a governance for
responsible I implementation in their companies.
Therefore they can ask questionsabout OK, what's the model,
what's the where data is processed?
How are we, how am I responsible, I looks in action,

(53:29):
what's the reference architecture, what's the
technical implementation? How are we ensuring that our AI
solutions are not here and there?
How are we having a control? So if tomorrow our customer ask
us how are you using AI, what solutions you are delivering
using AI, We have all information in one place here.

(53:49):
What are we doing? So I want women leaders to be
they had to have all the supportto to do that, to push for
responsible implementation and their.
Companies, that's awesome. That's amazing.
Thank. Thank you for sharing that.
What role do you think that educators, parents and kids play
in shaping the future ready workforce?

(54:13):
Everybody has a role. It's starting with government to
to make the regulations and lawsso companies are fair with what
they are producing. My niece and they are AI
developers and data scientists to build the right solutions

(54:33):
that are going to impact societypositively.
Leaders to ensure that, but alsoeducators and parents and kids
as well. Each of us have their own
responsibility and own role. Ohh, learning what it is and
then get to build the workforce to to build, to be prepared for

(54:56):
what is coming. And what message would you send
to government or educators who are, who are, who might be not
really ready to to do, to do that to who may be resisting it?
Um, the, I think the educator, some parents mainly, especially

(55:24):
because of social media, there is the risk that, you know, the
given example, when I was, when we were children, when we were
outside in a park on in any other place, you will not safe.
Once you were at home in your four walls, you were safe,

(55:46):
right? With your parents, with your
family, you were safe. But that's not the case anymore.
You can Child can be more unsafeinside in front of a computer
than outside. Hmm, at least outside you are
seeing that he or she is jumping.
Yeah, I'm playing on the Trace, but being in front of a
computer, you don't know who is being, you know, on the other

(56:09):
side of the screen. It's really, really scary.
So because there are many conspiracy theories, but a lot
of policy information out there,kids can be, can put our ideas
in their heads that can be so harmful.
Hmm. And that's why we can lose the

(56:31):
connection, emotional connectionwith our kids.
That's very scary. Hmm.
Do you as a parent and as educated teacher, if you can
help support that so people is more aware on the risks and on
all the false information and fake information is out there.
That is, you know their objective is to brainwash some

(56:54):
minds, right? Yeah, you need to be more
proactive, learning, understanding what are the
tools, what are the risks, what are the bad side, so you can
protect your children more effectively.
You can support as an educator, support parents and children to
be you know to be connected emotionally and and secure and

(57:15):
safe. Last question before we go into
the quick fire questions, tell us about the robotics workshops
and how that mission started. Ohh excellent.
It's mainly about I, not so muchabout robotics.
My daughter is the one that loves robotics and she wants to

(57:37):
to continue with that. But this the workshop that I
mentioned that we deliver in during COVID times from
different countries is I do dataMithila, but also as a he looked
at the science or or working fora specific organisation.
I'm so keen to organisations fortechnical and non-technical

(57:59):
people organised for hackathons or I did it for can transport.
If you remember that we did the workshop for the children for
the children that it was a fantastic today is that we
involved the computer vision team and we shared with the
kids, you know what's the I had as it work.
How are we using at Auckland Transport?

(58:23):
What other New Zealand companiesare using AI, What problems they
are solving? And it was so fantastic to see
that for some kids, they thoughtthat ohh, AI is something that,
you know, countries like the United States can do it or
Europe can do it, but not us. That was, that was the, the, the
feedback. But when I share with them, you

(58:45):
know, we have this company in New Zealand, it's a New Zealand
company. They are doing such amazing
things. And look at this other company,
New Zealand company in Christchurch.
And they were so proud and they were so inspired to keep
learning and solve our problem, social problem using AI.
And they bring so many good ideas.
So I think mistake that we do usually as a society thinking

(59:08):
that just the adults are the ones that we know everything
every time that they work with kids.
I can I can tell you that I learned so many things from them
and then we are wasting so much intelligence and freshness and
unique perspectives from them that they can help us all
together can ensure that we use,you know, beautiful technologies

(59:29):
for for beautiful for kids purposes.
Kids have their curiosity, right, which we often as adults
lose, right, because we're so serious about things.
But kids have this curiosity andI've been watching my
girlfriend's daughter like she'sjust so curious about the I and
we have conversations about about 10 GPT and, and different,

(59:52):
different things. And it just amazes me how they
are so quick at embracing it andand learning.
Even my daughter, like I you know, gave a ChatGPT and she sat
at creating these images of horses.
And, and sequential prompting ofohh, now I want a horse that's

(01:00:16):
brown and I want the girl to be this colour and with this black
hair or brown hair and, and you know, she's only 11 years old.
But for, to watch her do the sequential prompting and we had
to get the outcome that she wanted.
And it's yeah, I mean, some of the adults I talked to don't

(01:00:37):
even know how to do that. And also here's a question for
you. So, so I mean I've learnt, but a
lot of people go well. I used I once.
I asked her a question but it didn't give me what I wanted.
Hmm. And my, my, my point of view is

(01:01:00):
if you ask a human being a big loaded question, do you think
they're gonna be able to answer that for you effectively?
No. You may need to chunker down and
ask it. Right.
Yeah. What are your thoughts on on how
people can prompt with Chapati or, or, you know, Claude or or

(01:01:20):
any of those tools? Sure.
I believe you know the example that I'm going to give.
Maybe I don't know if we presentit with you, but I believe that
woman have so many years of training in prompt engineering
well because. Wasn't.
In my case, I'm 20 years married, right?

(01:01:42):
Yes, 20 years telling to my husband are really specific
instruction right about what to do something Yes if I'm too
general he will not. Something that is true, yeah.
If I say clean the house please.He might clean.

(01:02:02):
Whatever, not the solution I'm looking for.
Not the the right clean I'm looking for right?
Because I say, but if I say as the gardener of the house,
right, we are having a party this weekend.
Context, please go to that specific place, do the specific
instructions. So maybe the result will be
better, right. So it's just a joke saying that

(01:02:25):
yeah, you have to learn from theengineering a little bit to give
a specific query so you can get the results that you are
looking. For yes, I I think that's
absolutely true. It's absolutely spot on what you
just said because as min Yeah, want specific information, you

(01:02:46):
know, we just wanna know what doyou want then?
Alright, yeah. Yeah.
So we're looking for concise information as to what is it
you're you're requesting and when it gets too general.
General too broad, You don't know what.
To do we don't know what we're going to I can't read your mind
and yeah, so so I is the same you know, if you throw something

(01:03:10):
very general at a I, it's gonna go well it's going to give you a
response that you know of courseyou don't want.
But if you were to break that question down into little chunks
and and do sequential prompting,and when I'm in sequential
prompting, it's like ask a simple question, then add

(01:03:32):
another question to it once you've got the answer.
But also be mindful that hey, I that's hallucinate as we've
talked about before. Yes, and if it starts to
hallucinate, don't keep asking questions in the same chat.
Start a new chat and ask the question before the
hallucination and carry on in there.

(01:03:54):
Because what I've heard through listening to some podcasts is
that I was continued to keep talking about that previous
conversation. So if you find that it's going
off on a tangent, then stop, start a new chat and then
continue on from where you left off.
Yeah. But yeah, so I think like

(01:04:15):
anything, and people used to sayto me, you've got these big
visions and big goals and you and and they get exhausted
because they like, ohh, you got your brain works so differently
from from theirs. And I had to learn that I had to
chunk things down for other people because they just could

(01:04:36):
not get it. And every, all our brains work
differently. So, so yeah, I is the same way,
you know, use it as a tool, use it as your friend.
Ask it simple Christians an do sequences rather than one big
question because it's going to give you a general answer.
Provide context. Context context, Yes.

(01:04:58):
Then explain what usually mentioned.
You are, you know, working as anspecialist in marketing or you
are working as an expert in thisarea.
And then what's exactly the specific tasks that you would
like them to to answer? Yeah, they're taking on the
persona of that of. That and that's skill that you,

(01:05:19):
that's why it's prompting engineering, right?
So keep learning and improving your prompts so you will get the
answers that you want. And then I watched the guy with
the YouTube video. This guy was talking about how
to create a good prompt. And there are different
components of a of a prompt. If you, if anyone's interested,

(01:05:40):
reach out and I will, I will send you that information.
Yep. Alright, we're at now the quick
fire questions. So you can answer these
questions in single word or short sentence.
Yeah. And the first question is what
is your definition of success and has it definition changed
overtime? My definition of success is to

(01:06:04):
it's been free. It's been free, mentally free
and and as that consequence of that doing what you really want
to do. Hmm.
Because coming from a very traditional society, when people
on society and culture put some money limitations, especially as

(01:06:25):
a woman, how you should wear what you should behave, what
heels that having self-awarenessof those limitations and then be
free and do what you really wantto do instead of what the people
will think about you. That's for me success doing what
they really want to do. Hmm.

(01:06:46):
Who's been your greatest inspiration and why?
I'm a very self motivated person.
I encourage myself to do whatever I want to do.
But if I can choose someone, I can tell you the woman of my
country in Bolivia, I can tell you that they are extremely,
incredibly hard working and resilient.

(01:07:09):
Specific memory that I have whenI was 10 years old is that there
was a programme in Bolivia wherewe have the roads and the
government hired the specific indigenous community to build
the roads. But they, they did the payment
was not cash. The payment was groceries like
sugar or pasta or rice. And they were incredibly happy

(01:07:30):
because they can use those groceries to support their
families, right? And they were working under the
sun, wind and rain and everything.
And from that time I realised that when you help woman to just
not help one person, you help family, you help children, you
help, you can help an entire community.
So specifically the woman of my country.

(01:07:54):
I can tell you it's my inspiration.
What is something that you believe that others may disagree
with? I I think it's religion.
Bolivia, my country, some incredibly Catholic country, and
I was very Catholic 20 years ago.
But I realised that at the end religious institutions are just

(01:08:18):
lead by human beings like you and me that have, you know,
greedy problems, so many issues.So I don't believe in religions
anymore. Yeah, if you go, if you could go
back and give young Carla. Hmm.
A bit of advice. What would it be?
I can told me for myself, keep fighting for your education.

(01:08:45):
That's definitely education as ais a magical kid that can
operate doors for you as happened in my life.
Keep fighting for your education, but also at the same
time start, you know, learning about entrepreneurship earlier
in life. Start finding how you can add

(01:09:06):
value to society and you can make a business.
And I should start, I think earlier.
So now, now that I am this knowledge and expertise in AI
can be more effective supportingAcme, supporting women, because
I maybe if I build earlier this entrepreneurship skills, I can

(01:09:26):
be more effective now so I can tell her read books about their
entrepreneurship. Start your business, whatever it
is, and you will keep learning on that and one day you can join
together. You're going to love this.
My daughter, she's 11. I love you and we we've pulled
her out of school. She's now being home schooled
and I'm teaching her a I and entrepreneurship.

(01:09:49):
We've had a starter in business and at the moment the thing that
she's passionate about is she's a nail technician.
So interesting thing talking about I camera just released the
AI code code code for me AI. And I've announced last week.
Yes, and I got it on my canvas, paint canvas and I've been using

(01:10:12):
it and I said, Olivia, let's create a tool for you so that
you can. Then she was saying, ohh, I
charge $20.00 for nails. And I went, that's probably your
materials that you know, you're recouping.
So I built this tool and and I said, look, we're going to write

(01:10:32):
this. And it started writing the code
and it built the tool and I said, So what is the client
want? And that's okay.
They want the now now Polish removed.
They want to do all these different things and it's at
$120.00 and you should have seenher face.
She almost fell off the chair and because she she didn't

(01:10:53):
realise that you know that how to how to run a business.
I can, you know, she's only 11 years old.
But with this tool and a I, I was able to help you change your
mindset about right. So it was it was interesting.
What is 1 message you'd like to share with the world?

(01:11:13):
I think at this stage is that, yeah, I can help you to take
ownership of your learning. I'm not saying I will replace
educators, not at all, because they are needed more than ever
to guide children to use eye safely in a productive way.

(01:11:35):
And anyway, teachers and educators are more than learning
facilitators. They are for some kids, they are
maybe a second mom, a second dad, you know, some the only
adult that they can trust. So they are not being replaced.
But I'm saying from my times when I had to beg to my parents
please pay for me English, English classes, French classes

(01:11:58):
or whatever. Now we have I tools like a
rabbit hole. If you know the rabbit hole or
any other that can help you to learn, I think everybody has an
mobile phone now. You can use it as a tool to take
ownership of your learning and from that you can build the
skills and you can have so many good opportunities in life.
You can build your own path. It's easier and faster for

(01:12:19):
younger generations to sensitivelife now.
Yeah, absolutely. If you use it in the right way,
especially take ownership of your learning.
Last Christian, what does it mean to you to be a champion and
have a champion mindset? For me to be a champion is
someone is is to contribute to society is to find your purpose

(01:12:42):
is to find your way to contribute to society in a
positive way. That's a champion somebody that
is valuable for society. Champion mindset should be Life
is up and downs. Nobody has a perfect life.
Each of us have their own challenges wherever we are, and
if you have a champion mindset is change in turning adversities

(01:13:06):
into opportunities. So whatever situation you are at
the moment, understand that it'spart of life.
Is temporary as. Well, it's temporary for sure,
100% nothing is eternal. And then what are the learnings
that I could get from this situation?
And then how I can turn this into something good for myself?
Let's put good things to your brain.

(01:13:29):
Yeah, absolutely awesome. Thank you so much, Carla.
Thank you so much for your wisdom and sharing everything
you've shared. And I'm sure it's that's given
people some insights and on how they can innovate better and how
they can step up in their business and lead with a I

(01:13:50):
responsibly. Yep.
And make sure that that people are predicted, that that data is
protected and so on. To our listeners, whether you're
a small business owner or you'recurious about a I at leaders
striving to build ethical systems or apparent thinking
about your kids and their futures, today's conversation is

(01:14:12):
a powerful reminder that AI isn't just for the elite.
It's for all of us. So you can connect with Carla.
We'll have the links to your to your in the show notes and
whatever else you want to share with us.
And if something is packed for you, then please get in contact

(01:14:34):
with Carla or myself. And so Ali's business has done
Matilla Technology Technologies and I've got a business called
airwork Flows and I help people and business small businesses
and with automation reduces improvement and AI.

(01:14:55):
So reach out to either of us and.
Happy to help. You happy to help you and you
might individually or you might be working together to help you.
So until next time, keep learning, keep growing, keep and
remember that the right mindset you know within with the right
mindset, anything is possible. And as Carla said, adversity is

(01:15:17):
always going to be there. We've got to learn how to adapt
and pivot, be resilient in our lives.
And I tell you I'm a true testament of the tricities that
I've been through in my life. And what I've learned is that
every time this happens, something happens, is to look

(01:15:38):
for the learning, as Carla said,and what can you do with that
learning to move forward. No one is going to come and save
us. It's up to us to take
responsibility for our lives andsave ourselves.
So I encourage you. And lastly, I just want to say
you are loved. You are worthy.
Champion your life, champion your greatness and have an

(01:15:59):
amazing day.

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S2-E132- AI Is A Tool for Human Collaboration and Empowerment - Karla Taboada

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