April 20, 2023
#99 From Factory Worker to AI Innovator: Manuj Aggrawal's Inspiring Journey & Insights on Artificial Intelligence
In this episode, we speak with Manuj Aggrawal, an elite technology consultant and business mentor who went from earning $2/day as a factory worker to impacting the lives of millions with his AI expertise. Manuj shares his incredible journey, memorable projects, and insights into the future of artificial intelligence. He also discusses the relationship between meditation and AI, as well as the challenges faced by aspiring entrepreneurs. Don't miss this captivating conversation filled with inspiration and valuable lessons from a true industry expert.
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Hello and welcome to a new
episode of the CTO show with
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Muhammad.
My name is Muhammad and in each
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episode I discuss different
topics from emerging
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Technologies, digital
transformation cybersecurity.
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And at the same time we discuss
also business topics related to
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technology as well.
And as you know by now sometimes
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on my show I have thought
leaders and experts who would
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share from their perspective
about both technology and
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business.
And today I'm very pleased to be
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joining me in A late time for
him from Vancouver.
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Canada management has his a
subject matter expert.
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He's actually have a long
experience working with
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different Technologies.
He also worked for Microsoft IBM
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and different other places as
well and but I would leave it to
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manoosh to introduce himself -
just can be a little bit.
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Tell us more about you about
your experience and you know,
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like how what are you up to?
Thank you so much for having me
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excited to be here.
So yeah, my name is Manoj
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Agarwal.
I've been in the technology
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space for about 30 years and I
have worked with hundreds of
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startups, helping them go from
idea to Market work with
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Microsoft IBM Pearson Education.
I have four patents in
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artificial intelligence Averett,
authored two books on
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technology.
Some of the work that I have
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done, it has been actually
recognized by president.
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Resident Obama and Bill Gates.
So yeah, I mean my background
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has been quite diverse delving
into various Technologies,
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various Industries, Healthcare
education, Logistics real
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estate.
So technology is just fun.
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You know, I'm sure you will
agree with that.
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Yes, those of you enjoy solving
tough problems.
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Using technology.
It's like a hobby.
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It's like fun.
So that's what I'm all about.
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Yeah, actually minutiae have a
very I would say a rich like
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experience, but always myself.
I'm curious to know because I'm
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I'm in technology, as well as
I'm always curious to know what
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was the turning point, you know,
in your life that motivated you
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to pursue this passion for
computers and programming.
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So my story is that I grew up in
India and you know, mice my
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career started at 15 working in
a factory for For two dollars a
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day.
And during that time you know I
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wanted to do something more with
my life and one day I was
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sitting at lunch hour in the
factory flipping through some
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Business magazines and learning
about the stories of these
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successful tycoons.
I got some inspiration and at
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that time I didn't realize it.
But of course later on I
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realized that you know something
has shifted in me and at that
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point computers were very new.
Fraud through some, you know,
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fluke of luck.
I found myself and rolled into
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into a computer, programming
course.
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And I was an extreme introvert
at that time, and I'm still an
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introvert.
But at that time, I could not
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communicate well, with, with
others.
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And when I experienced
programming, I was like, you
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know, this is the best thing
ever.
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Because these machines don't
talk back and, you know, they
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obey what you ask them to do.
So that's when I really found.
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My passion for programming
computers.
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And I thought to myself, this is
what I'm going to do for the
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rest of my life.
That's really, really cool.
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And it resonated a lot with me
because, you know, I was too
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much introvert but and then I
took the courage and they said,
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no, I can talk to the world, I
can show what I'm doing and this
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is great.
What you have done because I'm
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interested, you know, like you
said, you were working in at the
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factory, right?
And I'm sure it was like, kind
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of challenging times, but how
does this help you?
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Later on in your career that
experience.
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Very good question because yeah,
I mean, every experience we go
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through, you know, when we are
going through it, sometimes it's
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tough, sometimes it's painful
but you learn a lot as if you're
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willing to learn from it.
So in the factory, as you know,
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any Factory, you have to make
one thing multiple time like
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thousands of times, right?
And you you are dependent upon
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everything working, smoothly,
otherwise, even if one
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component, Opponent one machine
fails, the whole process stops.
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So what I learned from that was
reliability of the whole system
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as well as scalability of the
system.
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So if you don't, if you cannot
scale the system, there's not
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going to be like a, you know, a
big business that can be built
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upon that.
And if you try to Big build a
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big business, you have to make
sure every component is
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reliable, and they work together
in sync as a system.
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Yeah.
Really insightful.
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And as you said anything, is an
experience by itself.
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My usual work for the biggest
names in technology like,
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Microsoft, IBM and others.
But what is, you know, some of
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the memorable projects that, you
know, like you you think they
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have impacted the lives of
millions of people.
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So, you know, I have worked in
healthcare where we built some
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systems for the province of
British Columbia.
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So, British Columbia is a Is a
state.
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If you will a province here in
Canada and it has 5 million
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residents.
We built the very first digital
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Health Care system for the
province of Canada where the
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health records of all the
citizens were digitized.
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It used to be paper-based
because I was quite impactful,
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then we did another project that
was for Education field.
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Lot of you know this is a
typical problem in North America
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and I'm sure it's the same
problem elsewhere in the world.
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Thirty percent of the students
in higher education
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institutions, meaning back, less
degree master's degree, they
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drop out of their degree program
in the first year.
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Yeah, the reason is and the
reason is because when they
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enroll, they don't know what
they are getting into and they
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find out this is not
interesting, this is too
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difficult, whatever it is.
We used a i to gather the data
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from hundreds of thousands of
students records and created a
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model to understand what
courses.
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Will suit what students as they
try to enroll.
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We recommended the right courses
to them.
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And the result was they you
know, they were able to finish
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their degree programs.
And so this big this platform
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was actually recognized by Obama
and Bill Gates so that was a
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quite quite exciting project.
Yeah.
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This is really where I see, you
know, the value of Technology of
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you know impacting people this
is really big now you Ai and you
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have like four patents in a, I
manage yourself.
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And as a thought, leader, in
this domain, what do you think
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are the most significant
breakthroughs over the past
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couple of years?
Well, I mean, you know,
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everybody is talking about Chad
GPT so that has that has to be
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mentioned here.
And I think it is a game changer
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because even as a expert and
many other experts, we used to
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think that things like this,
like that GPT.
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ER like decades away.
You know, we used to think I
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mean, Chad GPT almost has given
us a glimpse of what general
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artificial intelligence will
look like.
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Because, you know, if in the
audience if you know, if you're
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new to AI, there is a concept
called General artificial
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intelligence, which is basically
what we see in the science
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fiction movies, where the
artificial intelligence is so
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smart that it can do anything
that a human can do and
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obviously it can do better.
Then there is a point of
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Singularity where AI becomes
more smarter than than human
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beings.
So we used to think like, this
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is decades away, it is not going
to happen anytime soon, but
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with, you know, these these
platforms like that DPT, now we
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can see it is, you know, maybe
like two years away maybe five
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years away.
And that's the very, very
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exciting and it's very
surprising at the same time.
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Some people are actually worried
scared as well so it's a A lot
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of mixed emotions, but yeah,
that's what happens when a
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groundbreaking technology is
introduced.
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Are we going to reach
Singularity really manage the I
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think so.
I think so.
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I think so yeah.
But I'm let me also add to this
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question because I knew that you
get an answer this way.
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Should really people show.
The warden is that they are
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showing or they should think
about it in a different way.
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VI every new technology that
comes out.
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Humans have a tendency to fear
the unknown.
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Yeah, we are always afraid of
the unknown.
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Secondly, we don't like change,
you know, and these Technologies
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are going to change our society
in radical ways.
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So, you know, it is estimated
that over the next Years.
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For example, all the driving
jobs will be eliminated and
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there are hundreds of millions
of people whose jobs are related
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to driving all day, right?
Because when self-driving cars
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and vehicles, they become the
norm.
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There's not going to be any
driving jobs.
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Even the white collar jobs
analysis job with chat.
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Gpra are in danger now, that is
not to for me to scare everybody
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that what's going to happen with
my job.
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The idea is that new types of
jobs will be available, so It's
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not like you will lose lose your
job to AI.
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But most likely if you don't
adapt, if you don't up skill,
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you will lose your job to a
person.
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Who knows a I right?
So it's a very same way.
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Like, when before the cars were
invented, the whole industry was
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horse card industry and
everybody was worried what will
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happen to the horse cart.
You know, all the people who are
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taking care of the horses,
cleaning the, the roads You
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know, what's going to happen to
those but as the upscale they
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found new jobs, if found better
jobs and things prospered.
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So that's this is what happens,
every time.
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New technology is introduced and
I don't think there's anything
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to worry about.
In fact, we should be excited,
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we should embrace it.
We should understand it.
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We should say here, you know,
how do we use it?
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How do we become more
productive?
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And, and things of that nature,
right?
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Actually, I was about to give
the same example, the visual
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because usually when I am having
like this, Russians, I'm telling
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the same thing, like I'm
challenging people to, you know,
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write down 10 things that
existed not hundred years, 50
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years back and they don't exist
anymore today, like the postman,
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right?
So, yeah, Postman horses and
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many, many others.
So really it's the thing and I
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have and I want to also your
opinion.
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I have a theory that technology
and AI is one of these
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technologies that is helping us
to reach.
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I think a point where it is a
life should be more easy to us.
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Like we're maybe the machines
are doing the hard things that
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we are doing more, the soft
things enjoying the life.
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Absolutely.
Exactly.
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Exactly.
Exactly.
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So if you look at Society before
the steam engine was invented,
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most people used to spend all
day just trying to make a living
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you know, all day in the fields
and in in the factories manual,
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labor was life was very very
tough.
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For 99.99% of the population,
but with technology, you know,
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machines took over the weekend
became a thing.
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You know, we have two days off
and we were able to produce more
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for the entire society and work
less.
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And now it's the same Trend
continuing we are working less.
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I mean, we are.
I mean, human evolution has
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brought us to a point where we
don't need to work as much as we
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have invented technology to Our
Lives easier.
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So that is the trend, We are
following and that's what's
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going to continue to happen,
right?
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Yeah, that's, that's 100%
correct.
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One thing.
If I can jump little bit on the
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topic when I was, you know,
preparing for the today's
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episode.
I've seen that, you have
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mentioned that you can break
down complex topics, you know?
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So even in 10 years old, child
can understand it, right?
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Yeah.
So, how do you do this?
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Because sometimes I have
challenges I would call them
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explain, for example, something
very simple as a I, so, how do
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you care?
For example, you know, this act,
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this for AI, let's say, Okay?
So let's say AI is basically
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what it is, is is, you know, our
minds are patterned recognized
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in recognizing recognizing
machine.
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So we recognize patterns easily
in our mind.
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So I'll give you an example.
Let's say a child 5, A tall
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child touches a hot stove and
for the first time and then it's
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painful and he will realize.
Okay, I don't want to touch the
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stove again, so that is one data
point.
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It goes into your mind and the
mind, recognize the pattern.
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Now, imagine that child is
outside in somewhere, very cold
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Antarctica.
It's a, you know, there's a very
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cold wind blowing.
He's wearing some protective
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heat resistant gloves.
And now they are multiple
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factors in this.
Ian and now he touches the
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stove.
It doesn't feel you know,
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painful.
In fact, it feels a little bit
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Pleasant because it's warm and
he's getting warmth now.
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So now the child will
automatically learn.
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You know what if there are
certain conditions it is okay,
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to touch the stove.
Right?
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So now there are two patterns
has been recognized by our mind,
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but now if you extrapolate this
situation to thousands of
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parameters or variables, so
let's say we want to predict the
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weather in the next 14 days,
which depends On thousands of
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complex parameters or let's say,
we want to invent a medicine.
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For example, covid vaccine.
It depends on thousands and
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thousands of sort of
permutations of molecules than
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what not our mind is, not
capable of learning.
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These type of patterns, our mind
can maybe handle three or four
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patterns you know a variable
sorry three or four variables 10
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variables.
Maybe if you're super smart but
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then as we go beyond that
complexity becomes so So big
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that we have to rely on machines
and machines are very, very good
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at collecting millions and
millions of data points,
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millions of variables, and then
fighting finding my new patterns
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to say, okay, this is what is
happening.
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This is why it happened.
If you want to predict the like,
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what will happen in the future
given these parameters, the
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machine can tell us, right?
So, so that basically is what AI
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is yeah.
Does that make sense?
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Make completely sense.
And this is the reason I asked
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This question again to remove
the fear because I always had
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people look like AI is something
that humans came up with right
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and it needs a prompt from us,
still like, yeah, it's it's not
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like acting by itself.
It needs to take orders from
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00:15:38,800 --> 00:15:41,700
someone, right?
This way, I ask you this
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question now, who's also one
thing I know about, you know,
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one of the achievements that you
have done that, you spoke to in
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00:15:52,100 --> 00:15:55,400
the UN, Right.
So how was that was amazing.
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Amazing experience.
Fiat was being.
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So yeah.
So I spoke about Ai and idea was
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to share thoughts about how a I
can be used to eliminate poverty
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and bring about equality.
And you know, that's that's the
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fundamental I think in my
opinion, that is the fundamental
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premise of a I wear it, will it
will.
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00:16:22,600 --> 00:16:27,400
Think about equal opportunities
for everyone and it will help
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people even with the any, any
drawbacks they have from their
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00:16:33,300 --> 00:16:35,800
background, Financial
background, economic background,
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social background, it will help
Empower everyone equally and
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bring about that equality.
Moreover, as these machines
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automated processes take over,
the human element will become
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00:16:49,600 --> 00:16:52,200
more important.
Like the creativity, emotional
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intelligence, Agents empathy,
these things will become more
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00:16:55,100 --> 00:16:58,800
important.
So, that is innate in every
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00:16:58,800 --> 00:17:02,200
human being, right?
So if we start to cultivate that
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more, we start to connect with
humans more, you know, that will
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become bring about a society
where more or less, everybody's
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equal.
Yeah, one more thing and it will
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be, I promise last question
about because I have more to
291
00:17:15,800 --> 00:17:20,000
question I've seen.
Also in your work, you put some
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00:17:20,000 --> 00:17:23,200
kind of relationship between
meditation and they are Can you
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00:17:23,200 --> 00:17:24,000
tell us?
Yeah.
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What about that?
Of course.
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So so the thing is as we were
saying earlier you know our mind
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is able to recognize patterns
and what AI is an extension of
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00:17:36,500 --> 00:17:41,200
our mind because whatever it
produces our mind starts to
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learn it back.
You know, we start to see the
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00:17:43,900 --> 00:17:46,400
even though we cannot recognize
okay you know because of these
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00:17:46,400 --> 00:17:49,500
parameters this is happening
once we see the result, our mind
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is able to capture it.
So a good example is You know,
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00:17:52,800 --> 00:17:56,900
Facebook, Twitter LinkedIn.
These are basically AI
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00:17:56,900 --> 00:18:01,900
algorithms and it they control
the information flow in today's
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00:18:01,900 --> 00:18:04,200
world.
So when they control the
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00:18:04,200 --> 00:18:08,500
information flow, they tell us
what they think is relevant to
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us.
And now, our mind starts to
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learn that and our mind starts
to take the shape and start to
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00:18:15,500 --> 00:18:17,700
think.
Oh, this is the truth.
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This is how the world is, but if
we compare my feed to your feed,
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On this social media platform,
it will be totally different.
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00:18:26,300 --> 00:18:30,800
So so that way, you know, our
mind is interacting and vice
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00:18:30,800 --> 00:18:33,700
versa with a.
I now coming to meditation
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00:18:33,900 --> 00:18:38,400
meditation is basically seeing
inside our own mind learning
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00:18:38,400 --> 00:18:43,300
about ourselves, you know,
looking into our subconscious
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00:18:43,300 --> 00:18:46,800
mind.
So, if we learn about ourselves,
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00:18:48,600 --> 00:18:52,800
then we become more informed.
We can, you know, achieve Higher
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00:18:52,800 --> 00:18:56,000
level of success.
So just like, Facebook is
318
00:18:56,000 --> 00:18:59,900
informing us about the world AI
algorithms can help us.
319
00:18:59,900 --> 00:19:03,500
Inform us about our own inner
World, our about our
320
00:19:03,500 --> 00:19:07,700
subconscious mind so that is the
link between meditation and AI
321
00:19:08,300 --> 00:19:11,800
doesn't make sense completely.
And, you know, that's something
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00:19:11,800 --> 00:19:16,200
I never thought about and it's a
very, you know, it's a provoking
323
00:19:16,200 --> 00:19:19,900
idea to and I was thinking while
you are extending it, I was
324
00:19:19,900 --> 00:19:21,700
thinking.
Yeah because actually some time
325
00:19:21,700 --> 00:19:23,800
when I'm typing let's A to
charge pity.
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00:19:24,000 --> 00:19:26,100
Maybe I'm using my subconscious
mind, right?
327
00:19:26,100 --> 00:19:31,100
And and then after a while,
maybe the model itself can
328
00:19:31,100 --> 00:19:34,500
analyze, you know, my
subconscious mind which is we do
329
00:19:34,500 --> 00:19:37,900
sometimes on meditations?
Yeah, that's very very, very
330
00:19:37,900 --> 00:19:40,100
insightful.
I would say my name is also.
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00:19:40,100 --> 00:19:42,800
I know you you are an
entrepreneur and you know, like
332
00:19:42,800 --> 00:19:44,500
now you do some mentoring as
well.
333
00:19:44,700 --> 00:19:50,400
So because I cover I try to
cover every time in one question
334
00:19:50,400 --> 00:19:54,700
or two like what usually?
You see the most common obstacle
335
00:19:55,200 --> 00:19:59,600
that aspiring entrepreneurs face
and how they can overcome them?
336
00:19:59,600 --> 00:20:05,900
What advice you give the most
obstacles are within ourselves.
337
00:20:06,100 --> 00:20:10,300
Every obstacle that generally we
feel is ourselves, it's like
338
00:20:10,800 --> 00:20:13,300
anxiety about the future.
What will happen?
339
00:20:13,300 --> 00:20:17,400
If this happens, all these fears
that we make up in our minds,
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00:20:18,200 --> 00:20:22,500
that's number one second, there
is the desire to do.
341
00:20:22,700 --> 00:20:26,200
Everything meaning they don't
want to delegate anything they
342
00:20:26,200 --> 00:20:28,600
think.
Oh, you know, if I delegate it
343
00:20:28,600 --> 00:20:31,700
to somebody else, they're not
going to do it as well as I do.
344
00:20:31,900 --> 00:20:34,100
So they tried to do everything
themselves.
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00:20:34,600 --> 00:20:39,400
The third thing is, they don't
do market research.
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00:20:39,400 --> 00:20:42,500
So they come up with the idea
they say oh, you know this idea.
347
00:20:42,500 --> 00:20:45,400
I really like this idea.
This is how, you know, I will
348
00:20:45,400 --> 00:20:51,500
use it and then they find out
nobody else agrees with that.
349
00:20:51,500 --> 00:20:53,900
Nobody nobody else.
Us is willing to pay for that
350
00:20:53,900 --> 00:20:56,300
idea.
So it's better to do the market
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00:20:56,300 --> 00:21:00,400
research and then, if people
want to pay for it, then build
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00:21:00,400 --> 00:21:03,100
the idea.
And then, lastly, what I think
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00:21:03,100 --> 00:21:07,400
is this, many people may
disagree with me, but I feel
354
00:21:07,400 --> 00:21:10,400
like in the, in, in the,
entrepreneurial Community,
355
00:21:10,400 --> 00:21:14,600
particularly in the technology
startups, too many people try to
356
00:21:14,600 --> 00:21:20,500
raise money to quickly.
So until until you have a, you
357
00:21:20,500 --> 00:21:24,000
know, good solid business I
believe You should not raise
358
00:21:24,000 --> 00:21:27,900
money and you should really
focus on getting your first few
359
00:21:27,900 --> 00:21:32,000
clients first few customers.
And then if you need to expand,
360
00:21:32,000 --> 00:21:33,300
you can go ahead and raise
money.
361
00:21:33,800 --> 00:21:39,700
And do you think they do this on
purpose or like because, you
362
00:21:39,700 --> 00:21:42,300
know, this is what other people
have done and have succeeded.
363
00:21:42,300 --> 00:21:43,900
Well, why do you think they do
it?
364
00:21:44,500 --> 00:21:46,300
It is.
I think it's generally just
365
00:21:46,300 --> 00:21:49,700
looking at other people.
Even in media, you know, you
366
00:21:49,700 --> 00:21:52,400
will see news.
Oh, congratulations.
367
00:21:52,500 --> 00:21:55,300
A start-up raise ten million
dollars, this part of raised 12
368
00:21:55,300 --> 00:21:59,800
million dollars, but nobody ever
talks about oh this company
369
00:21:59,800 --> 00:22:02,500
made, you know, 100,000 in
Revenue.
370
00:22:04,300 --> 00:22:07,500
Nobody there is no news, which
talks about Revenue.
371
00:22:07,800 --> 00:22:09,400
They only talk about raising
money.
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00:22:09,400 --> 00:22:12,600
So people start to think, oh, s
business is about raising money,
373
00:22:12,600 --> 00:22:17,200
it's not about Revenue.
So so that is the impact that is
374
00:22:17,200 --> 00:22:20,400
the effect of how as we were
saying, earlier.
375
00:22:21,200 --> 00:22:23,300
Whatever we consume in Mission
we consume.
376
00:22:23,300 --> 00:22:26,200
We think that is the truth.
So there you have it.
377
00:22:26,600 --> 00:22:28,500
Yeah.
And this is, you know, actually
378
00:22:28,500 --> 00:22:34,500
it was my final question.
Like do you think like young
379
00:22:34,500 --> 00:22:37,700
entrepreneurs specifically or
any at any age because I you
380
00:22:37,700 --> 00:22:40,000
know I can be enough.
We are entrepreneurs also as
381
00:22:40,000 --> 00:22:44,300
well like but do you think we
should follow a what I it's
382
00:22:44,600 --> 00:22:50,200
known as the bootstrapping model
like try to grow the business I
383
00:22:50,200 --> 00:22:52,400
mean you start up with whatever
resources.
384
00:22:52,500 --> 00:22:57,500
As you have and have a name
later when it's ready to scale
385
00:22:57,500 --> 00:22:59,500
it then you might raise it.
Do you think this is the right
386
00:22:59,500 --> 00:23:01,500
approach to do it?
Absolutely.
387
00:23:01,500 --> 00:23:03,900
Absolutely.
Because if you I mean here is
388
00:23:03,900 --> 00:23:05,400
the thing.
There are certain types of
389
00:23:05,400 --> 00:23:07,400
businesses where you need
massive Capital.
390
00:23:07,400 --> 00:23:10,200
Let's say, you know you're
building a Tesla Like You Know,
391
00:23:10,200 --> 00:23:12,400
You're Building electric car
company.
392
00:23:12,600 --> 00:23:14,500
That's a massive.
Massive investment.
393
00:23:14,500 --> 00:23:18,300
Right?
So there you may need investors
394
00:23:18,300 --> 00:23:20,800
initially but generally nineteen
ninety-eight percent of the
395
00:23:20,800 --> 00:23:23,600
businesses you don't need Not
much to start with.
396
00:23:23,600 --> 00:23:26,900
I mean, business is about
solving other people's problems
397
00:23:27,100 --> 00:23:31,000
and you can do that by sharing
your ideas, talking to people
398
00:23:31,300 --> 00:23:33,200
and just say hey this is a
problem.
399
00:23:33,200 --> 00:23:35,600
How about I solve it?
And they'll say, how are you
400
00:23:35,600 --> 00:23:37,800
going to solve it?
Okay, these are my ideas.
401
00:23:37,800 --> 00:23:41,000
This is how I can solve it.
Will, do you think this will
402
00:23:41,000 --> 00:23:42,700
help you?
Yes, it will help me.
403
00:23:42,700 --> 00:23:44,400
And that's the your business,
right?
404
00:23:44,500 --> 00:23:49,400
So in my opinion, if you read
history, that's how businesses
405
00:23:49,400 --> 00:23:51,500
have been developed for
centuries and centuries.
406
00:23:52,100 --> 00:23:56,900
It is Only in the recent years
that this term Venture Capital
407
00:23:56,900 --> 00:23:59,700
has come of this term.
You know, raising money has come
408
00:23:59,700 --> 00:24:03,000
up before that.
You know you used to like borrow
409
00:24:03,000 --> 00:24:08,000
money sell some of your stuff
and you know have enough to like
410
00:24:08,000 --> 00:24:12,000
start a business and and one you
have enough, you continue to
411
00:24:12,000 --> 00:24:14,900
reinvest you grow and that's how
it used to be, right?
412
00:24:14,900 --> 00:24:17,900
So in my opinion, that is the
true definition of a business,
413
00:24:19,300 --> 00:24:22,400
you know, I have to be biased
and I agree with you.
414
00:24:22,600 --> 00:24:27,800
Because I feel sorry sometimes
you know for companies that come
415
00:24:27,800 --> 00:24:31,100
up and you know they run out of
money that they have borrowed
416
00:24:31,100 --> 00:24:33,500
from someone else and then they
have to lay off people.
417
00:24:33,500 --> 00:24:38,000
So this why why I'm on the side?
Any final thing you want to
418
00:24:38,000 --> 00:24:42,200
share with us menus before we
close while are the only thing I
419
00:24:42,200 --> 00:24:44,300
will say is, you know,
technology is here to help
420
00:24:44,300 --> 00:24:46,100
people.
There is nothing to be scared of
421
00:24:46,100 --> 00:24:48,700
Technology.
People who Embrace technology
422
00:24:49,000 --> 00:24:51,200
especially at this age right
now.
423
00:24:51,500 --> 00:24:55,300
It's a very, very exciting.
Fighting age because never,
424
00:24:55,300 --> 00:24:58,800
before in human history, so many
groundbreaking technologies have
425
00:24:58,800 --> 00:25:01,900
come together at the same time
like, you know, the cloud
426
00:25:01,900 --> 00:25:07,800
technology, mobile technology,
AI blockchain crisper, you know,
427
00:25:07,800 --> 00:25:12,000
there's so many things coming
together and these are all like,
428
00:25:12,100 --> 00:25:16,600
you know, have potential to
change the way we live.
429
00:25:16,700 --> 00:25:20,100
And so embracing, this
technology will help people
430
00:25:20,200 --> 00:25:23,900
progress much further.
Higher much faster.
431
00:25:24,100 --> 00:25:27,800
So that's my message to everyone
to embrace the technology and
432
00:25:28,000 --> 00:25:30,300
use it for good.
Well, thank you very much, more
433
00:25:30,300 --> 00:25:34,900
news for being with me today and
for your time for my audience.
434
00:25:35,500 --> 00:25:37,200
Thank you for watching and
tuning in.
435
00:25:37,200 --> 00:25:40,000
If you are seeing this.
Now on YouTube, if you are
436
00:25:40,000 --> 00:25:43,300
listening on your favorite
podcast platforms, also, thank
437
00:25:43,300 --> 00:25:45,000
you.
Don't forget to subscribe either
438
00:25:45,000 --> 00:25:49,300
to the YouTube channel or to the
show on your favorite
439
00:25:49,500 --> 00:25:52,400
broadcasting platform.
If you have any question, any
440
00:25:52,500 --> 00:25:55,400
Any comment about this episode
or about the show in general.
441
00:25:55,400 --> 00:25:58,100
Please don't hesitate to reach
out to me, directly either by
442
00:25:58,100 --> 00:26:01,900
email or LinkedIn or Twitter.
I would be more than happy to
443
00:26:01,900 --> 00:26:04,100
discuss this.
If you are interested yourself,
444
00:26:04,100 --> 00:26:07,500
you have brilliant ideas.
You want to share with others, I
445
00:26:07,508 --> 00:26:10,100
would be more than happy also to
host you here on the show.
446
00:26:10,300 --> 00:26:13,500
That would be my pleasure and
until we meet in the next time,
447
00:26:14,200 --> 00:26:17,600
see you soon.
And thank you for tuning in.
00:00:06,500 --> 00:00:09,300
Hello and welcome to a new
episode of the CTO show with
2
00:00:09,300 --> 00:00:11,200
Muhammad.
My name is Muhammad and in each
3
00:00:11,200 --> 00:00:14,000
episode I discuss different
topics from emerging
4
00:00:14,000 --> 00:00:17,000
Technologies, digital
transformation cybersecurity.
5
00:00:17,400 --> 00:00:21,700
And at the same time we discuss
also business topics related to
6
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technology as well.
And as you know by now sometimes
7
00:00:25,200 --> 00:00:28,700
on my show I have thought
leaders and experts who would
8
00:00:28,700 --> 00:00:32,800
share from their perspective
about both technology and
9
00:00:32,800 --> 00:00:34,900
business.
And today I'm very pleased to be
10
00:00:34,900 --> 00:00:38,600
joining me in A late time for
him from Vancouver.
11
00:00:38,600 --> 00:00:42,300
Canada management has his a
subject matter expert.
12
00:00:42,300 --> 00:00:46,300
He's actually have a long
experience working with
13
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different Technologies.
He also worked for Microsoft IBM
14
00:00:50,200 --> 00:00:55,400
and different other places as
well and but I would leave it to
15
00:00:55,400 --> 00:00:59,200
manoosh to introduce himself -
just can be a little bit.
16
00:00:59,300 --> 00:01:03,900
Tell us more about you about
your experience and you know,
17
00:01:03,900 --> 00:01:08,400
like how what are you up to?
Thank you so much for having me
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00:01:08,400 --> 00:01:12,100
excited to be here.
So yeah, my name is Manoj
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00:01:12,100 --> 00:01:13,900
Agarwal.
I've been in the technology
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00:01:13,900 --> 00:01:17,800
space for about 30 years and I
have worked with hundreds of
21
00:01:17,800 --> 00:01:22,500
startups, helping them go from
idea to Market work with
22
00:01:22,600 --> 00:01:26,800
Microsoft IBM Pearson Education.
I have four patents in
23
00:01:26,800 --> 00:01:30,300
artificial intelligence Averett,
authored two books on
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00:01:30,300 --> 00:01:33,100
technology.
Some of the work that I have
25
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done, it has been actually
recognized by president.
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Resident Obama and Bill Gates.
So yeah, I mean my background
27
00:01:40,500 --> 00:01:44,500
has been quite diverse delving
into various Technologies,
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various Industries, Healthcare
education, Logistics real
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00:01:50,300 --> 00:01:53,500
estate.
So technology is just fun.
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00:01:53,700 --> 00:01:56,000
You know, I'm sure you will
agree with that.
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00:01:56,100 --> 00:02:01,200
Yes, those of you enjoy solving
tough problems.
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00:02:01,200 --> 00:02:03,300
Using technology.
It's like a hobby.
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00:02:03,300 --> 00:02:06,100
It's like fun.
So that's what I'm all about.
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00:02:06,300 --> 00:02:11,500
Yeah, actually minutiae have a
very I would say a rich like
35
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experience, but always myself.
I'm curious to know because I'm
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00:02:17,300 --> 00:02:21,100
I'm in technology, as well as
I'm always curious to know what
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00:02:21,100 --> 00:02:24,800
was the turning point, you know,
in your life that motivated you
38
00:02:24,800 --> 00:02:27,900
to pursue this passion for
computers and programming.
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00:02:28,700 --> 00:02:33,500
So my story is that I grew up in
India and you know, mice my
40
00:02:33,500 --> 00:02:37,500
career started at 15 working in
a factory for For two dollars a
41
00:02:37,508 --> 00:02:40,800
day.
And during that time you know I
42
00:02:40,800 --> 00:02:44,300
wanted to do something more with
my life and one day I was
43
00:02:44,300 --> 00:02:47,900
sitting at lunch hour in the
factory flipping through some
44
00:02:47,900 --> 00:02:51,900
Business magazines and learning
about the stories of these
45
00:02:51,900 --> 00:02:55,700
successful tycoons.
I got some inspiration and at
46
00:02:55,700 --> 00:03:00,000
that time I didn't realize it.
But of course later on I
47
00:03:00,000 --> 00:03:03,700
realized that you know something
has shifted in me and at that
48
00:03:03,700 --> 00:03:09,700
point computers were very new.
Fraud through some, you know,
49
00:03:10,400 --> 00:03:13,500
fluke of luck.
I found myself and rolled into
50
00:03:13,500 --> 00:03:15,700
into a computer, programming
course.
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00:03:16,200 --> 00:03:20,000
And I was an extreme introvert
at that time, and I'm still an
52
00:03:20,000 --> 00:03:21,800
introvert.
But at that time, I could not
53
00:03:21,800 --> 00:03:23,600
communicate well, with, with
others.
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00:03:23,600 --> 00:03:26,700
And when I experienced
programming, I was like, you
55
00:03:26,708 --> 00:03:27,900
know, this is the best thing
ever.
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00:03:27,900 --> 00:03:31,500
Because these machines don't
talk back and, you know, they
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00:03:31,500 --> 00:03:36,100
obey what you ask them to do.
So that's when I really found.
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00:03:36,200 --> 00:03:38,000
My passion for programming
computers.
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00:03:38,300 --> 00:03:40,500
And I thought to myself, this is
what I'm going to do for the
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00:03:40,500 --> 00:03:43,200
rest of my life.
That's really, really cool.
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00:03:43,200 --> 00:03:48,100
And it resonated a lot with me
because, you know, I was too
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00:03:48,100 --> 00:03:51,100
much introvert but and then I
took the courage and they said,
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00:03:51,100 --> 00:03:53,800
no, I can talk to the world, I
can show what I'm doing and this
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00:03:53,800 --> 00:03:56,600
is great.
What you have done because I'm
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00:03:56,600 --> 00:04:00,500
interested, you know, like you
said, you were working in at the
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00:04:00,500 --> 00:04:02,700
factory, right?
And I'm sure it was like, kind
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00:04:02,700 --> 00:04:06,100
of challenging times, but how
does this help you?
68
00:04:06,200 --> 00:04:09,300
Later on in your career that
experience.
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00:04:09,900 --> 00:04:13,800
Very good question because yeah,
I mean, every experience we go
70
00:04:13,800 --> 00:04:16,700
through, you know, when we are
going through it, sometimes it's
71
00:04:16,700 --> 00:04:20,600
tough, sometimes it's painful
but you learn a lot as if you're
72
00:04:20,600 --> 00:04:23,600
willing to learn from it.
So in the factory, as you know,
73
00:04:23,600 --> 00:04:28,100
any Factory, you have to make
one thing multiple time like
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00:04:28,100 --> 00:04:32,700
thousands of times, right?
And you you are dependent upon
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00:04:32,700 --> 00:04:35,800
everything working, smoothly,
otherwise, even if one
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00:04:35,800 --> 00:04:41,300
component, Opponent one machine
fails, the whole process stops.
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00:04:42,200 --> 00:04:46,400
So what I learned from that was
reliability of the whole system
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00:04:46,600 --> 00:04:48,800
as well as scalability of the
system.
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00:04:49,000 --> 00:04:52,100
So if you don't, if you cannot
scale the system, there's not
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00:04:52,100 --> 00:04:55,000
going to be like a, you know, a
big business that can be built
81
00:04:55,000 --> 00:04:57,500
upon that.
And if you try to Big build a
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00:04:57,508 --> 00:05:00,600
big business, you have to make
sure every component is
83
00:05:00,600 --> 00:05:05,000
reliable, and they work together
in sync as a system.
84
00:05:05,500 --> 00:05:08,100
Yeah.
Really insightful.
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00:05:08,100 --> 00:05:11,500
And as you said anything, is an
experience by itself.
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00:05:11,800 --> 00:05:14,900
My usual work for the biggest
names in technology like,
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00:05:14,900 --> 00:05:19,100
Microsoft, IBM and others.
But what is, you know, some of
88
00:05:19,100 --> 00:05:23,400
the memorable projects that, you
know, like you you think they
89
00:05:23,400 --> 00:05:26,700
have impacted the lives of
millions of people.
90
00:05:27,600 --> 00:05:31,700
So, you know, I have worked in
healthcare where we built some
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00:05:31,700 --> 00:05:34,600
systems for the province of
British Columbia.
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00:05:34,600 --> 00:05:36,800
So, British Columbia is a Is a
state.
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00:05:36,800 --> 00:05:40,200
If you will a province here in
Canada and it has 5 million
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00:05:40,200 --> 00:05:43,600
residents.
We built the very first digital
95
00:05:43,600 --> 00:05:46,900
Health Care system for the
province of Canada where the
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00:05:47,500 --> 00:05:50,000
health records of all the
citizens were digitized.
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00:05:50,600 --> 00:05:53,800
It used to be paper-based
because I was quite impactful,
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00:05:54,100 --> 00:05:59,200
then we did another project that
was for Education field.
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00:05:59,800 --> 00:06:03,000
Lot of you know this is a
typical problem in North America
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00:06:03,000 --> 00:06:05,800
and I'm sure it's the same
problem elsewhere in the world.
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00:06:06,300 --> 00:06:09,100
Thirty percent of the students
in higher education
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00:06:09,100 --> 00:06:12,800
institutions, meaning back, less
degree master's degree, they
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00:06:12,800 --> 00:06:15,500
drop out of their degree program
in the first year.
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00:06:15,700 --> 00:06:18,900
Yeah, the reason is and the
reason is because when they
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00:06:18,900 --> 00:06:22,200
enroll, they don't know what
they are getting into and they
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00:06:22,200 --> 00:06:24,400
find out this is not
interesting, this is too
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00:06:24,400 --> 00:06:29,400
difficult, whatever it is.
We used a i to gather the data
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00:06:29,400 --> 00:06:32,700
from hundreds of thousands of
students records and created a
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00:06:32,700 --> 00:06:36,000
model to understand what
courses.
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00:06:36,100 --> 00:06:40,200
Will suit what students as they
try to enroll.
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00:06:40,400 --> 00:06:42,600
We recommended the right courses
to them.
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00:06:42,600 --> 00:06:45,400
And the result was they you
know, they were able to finish
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00:06:45,400 --> 00:06:50,000
their degree programs.
And so this big this platform
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00:06:50,200 --> 00:06:54,100
was actually recognized by Obama
and Bill Gates so that was a
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quite quite exciting project.
Yeah.
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00:06:58,200 --> 00:07:02,300
This is really where I see, you
know, the value of Technology of
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00:07:02,300 --> 00:07:07,700
you know impacting people this
is really big now you Ai and you
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00:07:07,700 --> 00:07:10,400
have like four patents in a, I
manage yourself.
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00:07:10,500 --> 00:07:13,900
And as a thought, leader, in
this domain, what do you think
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00:07:13,900 --> 00:07:17,300
are the most significant
breakthroughs over the past
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00:07:17,400 --> 00:07:20,100
couple of years?
Well, I mean, you know,
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00:07:20,100 --> 00:07:24,000
everybody is talking about Chad
GPT so that has that has to be
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00:07:24,000 --> 00:07:26,600
mentioned here.
And I think it is a game changer
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because even as a expert and
many other experts, we used to
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think that things like this,
like that GPT.
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00:07:36,100 --> 00:07:39,500
ER like decades away.
You know, we used to think I
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00:07:39,508 --> 00:07:44,100
mean, Chad GPT almost has given
us a glimpse of what general
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00:07:44,100 --> 00:07:45,800
artificial intelligence will
look like.
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00:07:45,800 --> 00:07:50,800
Because, you know, if in the
audience if you know, if you're
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00:07:50,800 --> 00:07:53,900
new to AI, there is a concept
called General artificial
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intelligence, which is basically
what we see in the science
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00:07:57,900 --> 00:08:01,100
fiction movies, where the
artificial intelligence is so
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00:08:01,100 --> 00:08:04,200
smart that it can do anything
that a human can do and
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00:08:04,200 --> 00:08:07,300
obviously it can do better.
Then there is a point of
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00:08:07,300 --> 00:08:12,300
Singularity where AI becomes
more smarter than than human
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00:08:12,300 --> 00:08:14,800
beings.
So we used to think like, this
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00:08:14,800 --> 00:08:17,900
is decades away, it is not going
to happen anytime soon, but
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00:08:17,900 --> 00:08:22,200
with, you know, these these
platforms like that DPT, now we
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00:08:22,200 --> 00:08:26,500
can see it is, you know, maybe
like two years away maybe five
140
00:08:26,500 --> 00:08:29,200
years away.
And that's the very, very
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00:08:29,200 --> 00:08:32,200
exciting and it's very
surprising at the same time.
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00:08:32,799 --> 00:08:36,200
Some people are actually worried
scared as well so it's a A lot
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00:08:36,200 --> 00:08:38,900
of mixed emotions, but yeah,
that's what happens when a
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groundbreaking technology is
introduced.
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Are we going to reach
Singularity really manage the I
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think so.
I think so.
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00:08:45,600 --> 00:08:49,200
I think so yeah.
But I'm let me also add to this
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question because I knew that you
get an answer this way.
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Should really people show.
The warden is that they are
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00:08:55,500 --> 00:08:58,500
showing or they should think
about it in a different way.
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00:08:59,200 --> 00:09:03,500
VI every new technology that
comes out.
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00:09:03,800 --> 00:09:07,500
Humans have a tendency to fear
the unknown.
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00:09:07,700 --> 00:09:10,000
Yeah, we are always afraid of
the unknown.
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00:09:10,000 --> 00:09:14,600
Secondly, we don't like change,
you know, and these Technologies
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are going to change our society
in radical ways.
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00:09:18,800 --> 00:09:23,300
So, you know, it is estimated
that over the next Years.
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00:09:23,900 --> 00:09:27,300
For example, all the driving
jobs will be eliminated and
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00:09:27,300 --> 00:09:30,900
there are hundreds of millions
of people whose jobs are related
159
00:09:30,900 --> 00:09:34,100
to driving all day, right?
Because when self-driving cars
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00:09:34,100 --> 00:09:35,900
and vehicles, they become the
norm.
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00:09:36,100 --> 00:09:37,800
There's not going to be any
driving jobs.
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00:09:38,100 --> 00:09:40,700
Even the white collar jobs
analysis job with chat.
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00:09:40,700 --> 00:09:45,500
Gpra are in danger now, that is
not to for me to scare everybody
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00:09:45,500 --> 00:09:47,200
that what's going to happen with
my job.
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00:09:47,300 --> 00:09:52,900
The idea is that new types of
jobs will be available, so It's
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00:09:52,900 --> 00:09:56,200
not like you will lose lose your
job to AI.
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00:09:56,400 --> 00:09:59,800
But most likely if you don't
adapt, if you don't up skill,
168
00:10:00,100 --> 00:10:02,200
you will lose your job to a
person.
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00:10:02,200 --> 00:10:05,800
Who knows a I right?
So it's a very same way.
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00:10:05,800 --> 00:10:12,000
Like, when before the cars were
invented, the whole industry was
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00:10:12,000 --> 00:10:15,700
horse card industry and
everybody was worried what will
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00:10:15,700 --> 00:10:19,100
happen to the horse cart.
You know, all the people who are
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00:10:19,500 --> 00:10:23,100
taking care of the horses,
cleaning the, the roads You
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00:10:23,100 --> 00:10:27,500
know, what's going to happen to
those but as the upscale they
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found new jobs, if found better
jobs and things prospered.
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So that's this is what happens,
every time.
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New technology is introduced and
I don't think there's anything
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00:10:36,800 --> 00:10:39,000
to worry about.
In fact, we should be excited,
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00:10:39,000 --> 00:10:41,100
we should embrace it.
We should understand it.
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00:10:41,200 --> 00:10:43,000
We should say here, you know,
how do we use it?
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00:10:43,000 --> 00:10:45,000
How do we become more
productive?
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00:10:45,000 --> 00:10:46,700
And, and things of that nature,
right?
183
00:10:47,100 --> 00:10:50,800
Actually, I was about to give
the same example, the visual
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00:10:50,800 --> 00:10:54,200
because usually when I am having
like this, Russians, I'm telling
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00:10:54,200 --> 00:10:58,000
the same thing, like I'm
challenging people to, you know,
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00:10:58,000 --> 00:11:02,100
write down 10 things that
existed not hundred years, 50
187
00:11:02,100 --> 00:11:05,500
years back and they don't exist
anymore today, like the postman,
188
00:11:05,500 --> 00:11:09,300
right?
So, yeah, Postman horses and
189
00:11:09,500 --> 00:11:13,000
many, many others.
So really it's the thing and I
190
00:11:13,000 --> 00:11:14,900
have and I want to also your
opinion.
191
00:11:15,000 --> 00:11:19,800
I have a theory that technology
and AI is one of these
192
00:11:19,800 --> 00:11:22,700
technologies that is helping us
to reach.
193
00:11:22,700 --> 00:11:26,100
I think a point where it is a
life should be more easy to us.
194
00:11:26,100 --> 00:11:29,800
Like we're maybe the machines
are doing the hard things that
195
00:11:29,800 --> 00:11:32,300
we are doing more, the soft
things enjoying the life.
196
00:11:32,400 --> 00:11:34,000
Absolutely.
Exactly.
197
00:11:34,000 --> 00:11:35,200
Exactly.
Exactly.
198
00:11:35,500 --> 00:11:40,300
So if you look at Society before
the steam engine was invented,
199
00:11:41,000 --> 00:11:45,600
most people used to spend all
day just trying to make a living
200
00:11:45,600 --> 00:11:49,900
you know, all day in the fields
and in in the factories manual,
201
00:11:49,900 --> 00:11:52,600
labor was life was very very
tough.
202
00:11:52,800 --> 00:11:57,900
For 99.99% of the population,
but with technology, you know,
203
00:11:57,900 --> 00:12:00,900
machines took over the weekend
became a thing.
204
00:12:00,900 --> 00:12:06,000
You know, we have two days off
and we were able to produce more
205
00:12:06,800 --> 00:12:09,200
for the entire society and work
less.
206
00:12:09,500 --> 00:12:13,400
And now it's the same Trend
continuing we are working less.
207
00:12:13,400 --> 00:12:17,600
I mean, we are.
I mean, human evolution has
208
00:12:17,600 --> 00:12:21,300
brought us to a point where we
don't need to work as much as we
209
00:12:21,300 --> 00:12:23,700
have invented technology to Our
Lives easier.
210
00:12:24,000 --> 00:12:27,600
So that is the trend, We are
following and that's what's
211
00:12:27,600 --> 00:12:29,100
going to continue to happen,
right?
212
00:12:29,200 --> 00:12:31,600
Yeah, that's, that's 100%
correct.
213
00:12:31,600 --> 00:12:34,900
One thing.
If I can jump little bit on the
214
00:12:34,900 --> 00:12:39,000
topic when I was, you know,
preparing for the today's
215
00:12:39,000 --> 00:12:40,700
episode.
I've seen that, you have
216
00:12:40,700 --> 00:12:45,500
mentioned that you can break
down complex topics, you know?
217
00:12:45,500 --> 00:12:50,300
So even in 10 years old, child
can understand it, right?
218
00:12:50,300 --> 00:12:52,600
Yeah.
So, how do you do this?
219
00:12:52,700 --> 00:12:56,300
Because sometimes I have
challenges I would call them
220
00:12:56,500 --> 00:13:01,100
explain, for example, something
very simple as a I, so, how do
221
00:13:01,100 --> 00:13:03,800
you care?
For example, you know, this act,
222
00:13:03,800 --> 00:13:09,900
this for AI, let's say, Okay?
So let's say AI is basically
223
00:13:09,900 --> 00:13:14,100
what it is, is is, you know, our
minds are patterned recognized
224
00:13:14,100 --> 00:13:16,600
in recognizing recognizing
machine.
225
00:13:16,600 --> 00:13:19,600
So we recognize patterns easily
in our mind.
226
00:13:19,800 --> 00:13:23,100
So I'll give you an example.
Let's say a child 5, A tall
227
00:13:23,100 --> 00:13:28,500
child touches a hot stove and
for the first time and then it's
228
00:13:28,500 --> 00:13:31,900
painful and he will realize.
Okay, I don't want to touch the
229
00:13:31,900 --> 00:13:34,300
stove again, so that is one data
point.
230
00:13:34,300 --> 00:13:37,300
It goes into your mind and the
mind, recognize the pattern.
231
00:13:37,700 --> 00:13:41,200
Now, imagine that child is
outside in somewhere, very cold
232
00:13:41,200 --> 00:13:44,900
Antarctica.
It's a, you know, there's a very
233
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cold wind blowing.
He's wearing some protective
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heat resistant gloves.
And now they are multiple
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factors in this.
Ian and now he touches the
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stove.
It doesn't feel you know,
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painful.
In fact, it feels a little bit
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Pleasant because it's warm and
he's getting warmth now.
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So now the child will
automatically learn.
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You know what if there are
certain conditions it is okay,
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to touch the stove.
Right?
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So now there are two patterns
has been recognized by our mind,
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but now if you extrapolate this
situation to thousands of
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parameters or variables, so
let's say we want to predict the
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weather in the next 14 days,
which depends On thousands of
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complex parameters or let's say,
we want to invent a medicine.
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For example, covid vaccine.
It depends on thousands and
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thousands of sort of
permutations of molecules than
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what not our mind is, not
capable of learning.
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These type of patterns, our mind
can maybe handle three or four
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patterns you know a variable
sorry three or four variables 10
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variables.
Maybe if you're super smart but
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then as we go beyond that
complexity becomes so So big
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that we have to rely on machines
and machines are very, very good
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at collecting millions and
millions of data points,
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millions of variables, and then
fighting finding my new patterns
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to say, okay, this is what is
happening.
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This is why it happened.
If you want to predict the like,
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what will happen in the future
given these parameters, the
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machine can tell us, right?
So, so that basically is what AI
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is yeah.
Does that make sense?
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Make completely sense.
And this is the reason I asked
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This question again to remove
the fear because I always had
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people look like AI is something
that humans came up with right
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and it needs a prompt from us,
still like, yeah, it's it's not
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like acting by itself.
It needs to take orders from
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00:15:38,800 --> 00:15:41,700
someone, right?
This way, I ask you this
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question now, who's also one
thing I know about, you know,
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one of the achievements that you
have done that, you spoke to in
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00:15:52,100 --> 00:15:55,400
the UN, Right.
So how was that was amazing.
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Amazing experience.
Fiat was being.
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00:15:58,100 --> 00:16:01,900
So yeah.
So I spoke about Ai and idea was
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to share thoughts about how a I
can be used to eliminate poverty
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and bring about equality.
And you know, that's that's the
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fundamental I think in my
opinion, that is the fundamental
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premise of a I wear it, will it
will.
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00:16:22,600 --> 00:16:27,400
Think about equal opportunities
for everyone and it will help
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00:16:27,400 --> 00:16:33,300
people even with the any, any
drawbacks they have from their
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00:16:33,300 --> 00:16:35,800
background, Financial
background, economic background,
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social background, it will help
Empower everyone equally and
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bring about that equality.
Moreover, as these machines
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automated processes take over,
the human element will become
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00:16:49,600 --> 00:16:52,200
more important.
Like the creativity, emotional
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intelligence, Agents empathy,
these things will become more
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00:16:55,100 --> 00:16:58,800
important.
So, that is innate in every
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00:16:58,800 --> 00:17:02,200
human being, right?
So if we start to cultivate that
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more, we start to connect with
humans more, you know, that will
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become bring about a society
where more or less, everybody's
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equal.
Yeah, one more thing and it will
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be, I promise last question
about because I have more to
291
00:17:15,800 --> 00:17:20,000
question I've seen.
Also in your work, you put some
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00:17:20,000 --> 00:17:23,200
kind of relationship between
meditation and they are Can you
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00:17:23,200 --> 00:17:24,000
tell us?
Yeah.
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What about that?
Of course.
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So so the thing is as we were
saying earlier you know our mind
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is able to recognize patterns
and what AI is an extension of
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00:17:36,500 --> 00:17:41,200
our mind because whatever it
produces our mind starts to
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00:17:41,200 --> 00:17:43,800
learn it back.
You know, we start to see the
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00:17:43,900 --> 00:17:46,400
even though we cannot recognize
okay you know because of these
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00:17:46,400 --> 00:17:49,500
parameters this is happening
once we see the result, our mind
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is able to capture it.
So a good example is You know,
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00:17:52,800 --> 00:17:56,900
Facebook, Twitter LinkedIn.
These are basically AI
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00:17:56,900 --> 00:18:01,900
algorithms and it they control
the information flow in today's
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00:18:01,900 --> 00:18:04,200
world.
So when they control the
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00:18:04,200 --> 00:18:08,500
information flow, they tell us
what they think is relevant to
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us.
And now, our mind starts to
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00:18:11,400 --> 00:18:15,500
learn that and our mind starts
to take the shape and start to
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00:18:15,500 --> 00:18:17,700
think.
Oh, this is the truth.
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00:18:18,000 --> 00:18:22,500
This is how the world is, but if
we compare my feed to your feed,
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On this social media platform,
it will be totally different.
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00:18:26,300 --> 00:18:30,800
So so that way, you know, our
mind is interacting and vice
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00:18:30,800 --> 00:18:33,700
versa with a.
I now coming to meditation
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00:18:33,900 --> 00:18:38,400
meditation is basically seeing
inside our own mind learning
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00:18:38,400 --> 00:18:43,300
about ourselves, you know,
looking into our subconscious
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00:18:43,300 --> 00:18:46,800
mind.
So, if we learn about ourselves,
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00:18:48,600 --> 00:18:52,800
then we become more informed.
We can, you know, achieve Higher
317
00:18:52,800 --> 00:18:56,000
level of success.
So just like, Facebook is
318
00:18:56,000 --> 00:18:59,900
informing us about the world AI
algorithms can help us.
319
00:18:59,900 --> 00:19:03,500
Inform us about our own inner
World, our about our
320
00:19:03,500 --> 00:19:07,700
subconscious mind so that is the
link between meditation and AI
321
00:19:08,300 --> 00:19:11,800
doesn't make sense completely.
And, you know, that's something
322
00:19:11,800 --> 00:19:16,200
I never thought about and it's a
very, you know, it's a provoking
323
00:19:16,200 --> 00:19:19,900
idea to and I was thinking while
you are extending it, I was
324
00:19:19,900 --> 00:19:21,700
thinking.
Yeah because actually some time
325
00:19:21,700 --> 00:19:23,800
when I'm typing let's A to
charge pity.
326
00:19:24,000 --> 00:19:26,100
Maybe I'm using my subconscious
mind, right?
327
00:19:26,100 --> 00:19:31,100
And and then after a while,
maybe the model itself can
328
00:19:31,100 --> 00:19:34,500
analyze, you know, my
subconscious mind which is we do
329
00:19:34,500 --> 00:19:37,900
sometimes on meditations?
Yeah, that's very very, very
330
00:19:37,900 --> 00:19:40,100
insightful.
I would say my name is also.
331
00:19:40,100 --> 00:19:42,800
I know you you are an
entrepreneur and you know, like
332
00:19:42,800 --> 00:19:44,500
now you do some mentoring as
well.
333
00:19:44,700 --> 00:19:50,400
So because I cover I try to
cover every time in one question
334
00:19:50,400 --> 00:19:54,700
or two like what usually?
You see the most common obstacle
335
00:19:55,200 --> 00:19:59,600
that aspiring entrepreneurs face
and how they can overcome them?
336
00:19:59,600 --> 00:20:05,900
What advice you give the most
obstacles are within ourselves.
337
00:20:06,100 --> 00:20:10,300
Every obstacle that generally we
feel is ourselves, it's like
338
00:20:10,800 --> 00:20:13,300
anxiety about the future.
What will happen?
339
00:20:13,300 --> 00:20:17,400
If this happens, all these fears
that we make up in our minds,
340
00:20:18,200 --> 00:20:22,500
that's number one second, there
is the desire to do.
341
00:20:22,700 --> 00:20:26,200
Everything meaning they don't
want to delegate anything they
342
00:20:26,200 --> 00:20:28,600
think.
Oh, you know, if I delegate it
343
00:20:28,600 --> 00:20:31,700
to somebody else, they're not
going to do it as well as I do.
344
00:20:31,900 --> 00:20:34,100
So they tried to do everything
themselves.
345
00:20:34,600 --> 00:20:39,400
The third thing is, they don't
do market research.
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00:20:39,400 --> 00:20:42,500
So they come up with the idea
they say oh, you know this idea.
347
00:20:42,500 --> 00:20:45,400
I really like this idea.
This is how, you know, I will
348
00:20:45,400 --> 00:20:51,500
use it and then they find out
nobody else agrees with that.
349
00:20:51,500 --> 00:20:53,900
Nobody nobody else.
Us is willing to pay for that
350
00:20:53,900 --> 00:20:56,300
idea.
So it's better to do the market
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00:20:56,300 --> 00:21:00,400
research and then, if people
want to pay for it, then build
352
00:21:00,400 --> 00:21:03,100
the idea.
And then, lastly, what I think
353
00:21:03,100 --> 00:21:07,400
is this, many people may
disagree with me, but I feel
354
00:21:07,400 --> 00:21:10,400
like in the, in, in the,
entrepreneurial Community,
355
00:21:10,400 --> 00:21:14,600
particularly in the technology
startups, too many people try to
356
00:21:14,600 --> 00:21:20,500
raise money to quickly.
So until until you have a, you
357
00:21:20,500 --> 00:21:24,000
know, good solid business I
believe You should not raise
358
00:21:24,000 --> 00:21:27,900
money and you should really
focus on getting your first few
359
00:21:27,900 --> 00:21:32,000
clients first few customers.
And then if you need to expand,
360
00:21:32,000 --> 00:21:33,300
you can go ahead and raise
money.
361
00:21:33,800 --> 00:21:39,700
And do you think they do this on
purpose or like because, you
362
00:21:39,700 --> 00:21:42,300
know, this is what other people
have done and have succeeded.
363
00:21:42,300 --> 00:21:43,900
Well, why do you think they do
it?
364
00:21:44,500 --> 00:21:46,300
It is.
I think it's generally just
365
00:21:46,300 --> 00:21:49,700
looking at other people.
Even in media, you know, you
366
00:21:49,700 --> 00:21:52,400
will see news.
Oh, congratulations.
367
00:21:52,500 --> 00:21:55,300
A start-up raise ten million
dollars, this part of raised 12
368
00:21:55,300 --> 00:21:59,800
million dollars, but nobody ever
talks about oh this company
369
00:21:59,800 --> 00:22:02,500
made, you know, 100,000 in
Revenue.
370
00:22:04,300 --> 00:22:07,500
Nobody there is no news, which
talks about Revenue.
371
00:22:07,800 --> 00:22:09,400
They only talk about raising
money.
372
00:22:09,400 --> 00:22:12,600
So people start to think, oh, s
business is about raising money,
373
00:22:12,600 --> 00:22:17,200
it's not about Revenue.
So so that is the impact that is
374
00:22:17,200 --> 00:22:20,400
the effect of how as we were
saying, earlier.
375
00:22:21,200 --> 00:22:23,300
Whatever we consume in Mission
we consume.
376
00:22:23,300 --> 00:22:26,200
We think that is the truth.
So there you have it.
377
00:22:26,600 --> 00:22:28,500
Yeah.
And this is, you know, actually
378
00:22:28,500 --> 00:22:34,500
it was my final question.
Like do you think like young
379
00:22:34,500 --> 00:22:37,700
entrepreneurs specifically or
any at any age because I you
380
00:22:37,700 --> 00:22:40,000
know I can be enough.
We are entrepreneurs also as
381
00:22:40,000 --> 00:22:44,300
well like but do you think we
should follow a what I it's
382
00:22:44,600 --> 00:22:50,200
known as the bootstrapping model
like try to grow the business I
383
00:22:50,200 --> 00:22:52,400
mean you start up with whatever
resources.
384
00:22:52,500 --> 00:22:57,500
As you have and have a name
later when it's ready to scale
385
00:22:57,500 --> 00:22:59,500
it then you might raise it.
Do you think this is the right
386
00:22:59,500 --> 00:23:01,500
approach to do it?
Absolutely.
387
00:23:01,500 --> 00:23:03,900
Absolutely.
Because if you I mean here is
388
00:23:03,900 --> 00:23:05,400
the thing.
There are certain types of
389
00:23:05,400 --> 00:23:07,400
businesses where you need
massive Capital.
390
00:23:07,400 --> 00:23:10,200
Let's say, you know you're
building a Tesla Like You Know,
391
00:23:10,200 --> 00:23:12,400
You're Building electric car
company.
392
00:23:12,600 --> 00:23:14,500
That's a massive.
Massive investment.
393
00:23:14,500 --> 00:23:18,300
Right?
So there you may need investors
394
00:23:18,300 --> 00:23:20,800
initially but generally nineteen
ninety-eight percent of the
395
00:23:20,800 --> 00:23:23,600
businesses you don't need Not
much to start with.
396
00:23:23,600 --> 00:23:26,900
I mean, business is about
solving other people's problems
397
00:23:27,100 --> 00:23:31,000
and you can do that by sharing
your ideas, talking to people
398
00:23:31,300 --> 00:23:33,200
and just say hey this is a
problem.
399
00:23:33,200 --> 00:23:35,600
How about I solve it?
And they'll say, how are you
400
00:23:35,600 --> 00:23:37,800
going to solve it?
Okay, these are my ideas.
401
00:23:37,800 --> 00:23:41,000
This is how I can solve it.
Will, do you think this will
402
00:23:41,000 --> 00:23:42,700
help you?
Yes, it will help me.
403
00:23:42,700 --> 00:23:44,400
And that's the your business,
right?
404
00:23:44,500 --> 00:23:49,400
So in my opinion, if you read
history, that's how businesses
405
00:23:49,400 --> 00:23:51,500
have been developed for
centuries and centuries.
406
00:23:52,100 --> 00:23:56,900
It is Only in the recent years
that this term Venture Capital
407
00:23:56,900 --> 00:23:59,700
has come of this term.
You know, raising money has come
408
00:23:59,700 --> 00:24:03,000
up before that.
You know you used to like borrow
409
00:24:03,000 --> 00:24:08,000
money sell some of your stuff
and you know have enough to like
410
00:24:08,000 --> 00:24:12,000
start a business and and one you
have enough, you continue to
411
00:24:12,000 --> 00:24:14,900
reinvest you grow and that's how
it used to be, right?
412
00:24:14,900 --> 00:24:17,900
So in my opinion, that is the
true definition of a business,
413
00:24:19,300 --> 00:24:22,400
you know, I have to be biased
and I agree with you.
414
00:24:22,600 --> 00:24:27,800
Because I feel sorry sometimes
you know for companies that come
415
00:24:27,800 --> 00:24:31,100
up and you know they run out of
money that they have borrowed
416
00:24:31,100 --> 00:24:33,500
from someone else and then they
have to lay off people.
417
00:24:33,500 --> 00:24:38,000
So this why why I'm on the side?
Any final thing you want to
418
00:24:38,000 --> 00:24:42,200
share with us menus before we
close while are the only thing I
419
00:24:42,200 --> 00:24:44,300
will say is, you know,
technology is here to help
420
00:24:44,300 --> 00:24:46,100
people.
There is nothing to be scared of
421
00:24:46,100 --> 00:24:48,700
Technology.
People who Embrace technology
422
00:24:49,000 --> 00:24:51,200
especially at this age right
now.
423
00:24:51,500 --> 00:24:55,300
It's a very, very exciting.
Fighting age because never,
424
00:24:55,300 --> 00:24:58,800
before in human history, so many
groundbreaking technologies have
425
00:24:58,800 --> 00:25:01,900
come together at the same time
like, you know, the cloud
426
00:25:01,900 --> 00:25:07,800
technology, mobile technology,
AI blockchain crisper, you know,
427
00:25:07,800 --> 00:25:12,000
there's so many things coming
together and these are all like,
428
00:25:12,100 --> 00:25:16,600
you know, have potential to
change the way we live.
429
00:25:16,700 --> 00:25:20,100
And so embracing, this
technology will help people
430
00:25:20,200 --> 00:25:23,900
progress much further.
Higher much faster.
431
00:25:24,100 --> 00:25:27,800
So that's my message to everyone
to embrace the technology and
432
00:25:28,000 --> 00:25:30,300
use it for good.
Well, thank you very much, more
433
00:25:30,300 --> 00:25:34,900
news for being with me today and
for your time for my audience.
434
00:25:35,500 --> 00:25:37,200
Thank you for watching and
tuning in.
435
00:25:37,200 --> 00:25:40,000
If you are seeing this.
Now on YouTube, if you are
436
00:25:40,000 --> 00:25:43,300
listening on your favorite
podcast platforms, also, thank
437
00:25:43,300 --> 00:25:45,000
you.
Don't forget to subscribe either
438
00:25:45,000 --> 00:25:49,300
to the YouTube channel or to the
show on your favorite
439
00:25:49,500 --> 00:25:52,400
broadcasting platform.
If you have any question, any
440
00:25:52,500 --> 00:25:55,400
Any comment about this episode
or about the show in general.
441
00:25:55,400 --> 00:25:58,100
Please don't hesitate to reach
out to me, directly either by
442
00:25:58,100 --> 00:26:01,900
email or LinkedIn or Twitter.
I would be more than happy to
443
00:26:01,900 --> 00:26:04,100
discuss this.
If you are interested yourself,
444
00:26:04,100 --> 00:26:07,500
you have brilliant ideas.
You want to share with others, I
445
00:26:07,508 --> 00:26:10,100
would be more than happy also to
host you here on the show.
446
00:26:10,300 --> 00:26:13,500
That would be my pleasure and
until we meet in the next time,
447
00:26:14,200 --> 00:26:17,600
see you soon.
And thank you for tuning in.
