June 9, 2023
#147 A Conversation with Raj Goodman Anand on AI, Digital Content and the Power of Diversity
In this episode, we are joined by Raj Goodman Anand, a distinguished entrepreneur, founder of Goodman Lantern, and advocate for gender equality. With a background in AI and an impressive track record in the startup world, Raj shares his insights on the intersection of AI and digital marketing, the potential of AI beyond content creation, and the future of the startup ecosystem. He also discusses the evolution of digital content, compares his experiences in startups and large organizations, and passionately speaks on the importance of diversity and inclusion in business. Tune in to learn from one of the industry's leading lights.
Connect with Raj:
https://www.linkedin.com/in/rajanand/
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Hello and welcome to a new
episode of the CTO show with
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mammoths.
My name is Muhammad.
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And as you know, I covered
topics from emerging technology
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like, AI cloud cybersecurity and
at the same time, I cover also
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startups and Entrepreneurship.
And also I host with me people
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who are subject, matter experts
in their field, people who are
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entrepreneurs themselves.
And today I'm very pleased to
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have with me.
Raj, who's joining me from the
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United Kingdom?
Kingdom, thank you very much for
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joining me today.
Can you just a little bit?
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Brief about yourself and what
you do?
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Sure member.
Thank you for having me today.
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Really good to be here.
So, as you mentioned, my name is
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Raj, the founder and CEO of
Goodman.
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Luncheon, we are a team of
content, experts, helping
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customers, sell better, and grow
faster.
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A bit of background about me,
I'm actually used to research in
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AI it 28.
Is back when people didn't even
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know what a I was previously, my
mother thought a I was a study
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of UFOs.
So as you can see we are that
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was added like the day.
But today, today obviously
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Windows away.
I it's the buzz word git.
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Beauty has made it obviously a
household name, but this might
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hurt business in the past have
stolen business.
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One was a great experience,
running it.
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So I In not complete the day we
work.
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Primarily with high-tech
companies, from defense to spin
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Tech to Telecom organizations
and we help them with content
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creation based on our team and
as we talked also through lots
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of work, we're doing it within
the ice base.
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Now emerging is a Content space.
That's very, you know like a
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great experience I would say Raj
let's start you know, discussion
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from where you left it so you
have experience in Ai and you
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are in content creation, just,
you know, people nowadays.
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They are thinking that, okay, I
can do the whole thing for me,
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right?
So from your experience, you've
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been, you know, in this for a
long time and you understand, I
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mean both From digital marketing
perspective. + AI perspective,
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what do you think the future
holds for digital marketing?
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You know and and in the presence
of what we are seeing with
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generative AI?
Yeah it's a great question
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member so I would say that we
are currently a very destructive
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phase of a.
I think he is been around for
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many years and housing research
was more.
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Reticle didn't have the gpus we
run the algorithms they they are
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available and evil.
There's like Nvidia and others
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emerging are doing a great great
bit of business day.
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We were sitting yesterday.
I read that in Nvidia is going
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to be at 1 trillion dollar
business, maybe more.
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But I think what's interesting
for content is that people are
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experimenting with which igbt
with board and other end.
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Times that's that that stands
for a large language models.
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Basically, you know, big
transformers which are allowing
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us to create content and the
initial perception is that?
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Well, this is it, you know, if
you got everything we need, but
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if you look at content creation,
congregation is a very complex
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process.
It is, it is a process of
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taking, a thought leadership, a
visibility perspective into
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written or for example, with
your production.
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Norma jizz.
It takes a lot more than just
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creating content from a
generative AI perspective.
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Or Ln perspective, think about
how do we bring in the
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complexities, in the knowledge
of individuals or companies into
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this content and that's not an
easy job because there's some
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data is out to the public.
The other proprietary data,
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which obviously, these deep PT's
are not all the tools are not
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trained on, so and those bits
are really important.
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And why is that well He has been
from one state elects to capture
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and you said new data if you
just remix the data again again
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you put that in.
It's not really helping the AI
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to learn from it.
And so famously at this
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experiment, a kind of talk very
quickly, maybe to your audience,
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is that Christian content, which
is, you know, say a thousand
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words, article done by catchy
Beauty and then do another
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article.
She's your really thought
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leadership content, or using
beings and feed both them back.
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New Jersey between asked for
scoring and you'll see the
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difference Jake, the court
rejected by human beings, which
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are very thought leadership
driven with experts, regarding
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the content ranks, very hard,
higher than just charity driven
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content, it is because it would
remix your content is great, but
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base when you bring in the
analysis and thought leadership
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into, it makes it very
different.
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Aunt and imagine fast forward to
today.
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Say, two years.
Three years.
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We never see an array of content
coming in would be 10x 10x more.
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How do you stand out then?
And the only answer is thought
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leadership and that requires
being creative having a stance
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being different and that
requires real human beings.
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So AI is great.
Are you need even to mention
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really lie in this journey?
That's a very good point, right?
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And you know, I had in another
episode they, you know, me and
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they guessed this discussion
that some people are little bit
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too worried.
That first regarding the point
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you just mentioned like we will
have next sorry to say a lot of
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rubbish out there right because
people will be generating so but
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at the same time people you know
we are humans we like shortcuts,
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we like to take the easy path,
right?
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So How, what do you think we
should be doing to avoid as my
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guest mention?
It it will be like a dark age
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because all the information
would be generated from from AI,
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which is actually, as you said,
an interpretation of an old text
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that someone wrote and just AI
is rewriting it in a different
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way.
So, this whole Theatre shit
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because, you know, yourself
myself and a lot of people out
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there, we try to You know, get
this information but how we
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should make sure that this
doesn't happen.
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I mean we have a dark age
because no new content is
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generated.
What will what else is this?
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I don't think the dog cage of
content.
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Actually this is the age of
opportunity in my opinion.
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And really, why that's the case
and typically, if you look at
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cotton creation, there's a lot
of different steps involved in
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it.
There is, you know, if you look
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at professionally, Gordon
creation requires a kickoff,
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call a little research phase, a
writing phase editing, phase
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then, checking in with you know,
the top leadership.
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And before that unfortunately
there's also a place of
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interviewing experts for example
then clean the content editing
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then you know having the content
in rechecked couple of times
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before, it's ready for ready for
draft faced.
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Now, with AI, I think the
opportunity is to skip some of
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the research phase and start to
create.
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Some really interesting
templates, which you can, which
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can like the mundane tasks which
we do as content creators and be
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removed.
You can jump into the most
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exciting phase which is to
create real value.
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I think in that way actually I
is phenomenal.
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It To making us more efficient a
bit like in the back of the day
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when you should do and knitting
to create all the garments in
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ke, the machines it made the
process easier now, a lot, the
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really high-end goods are still
made by hand but the Q&A part
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for example some of the initial
building the in the pressing for
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example can be done
automatically so I think of this
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as an opportunity for us it's
not a dark age, but exactly is
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up.
Opportunity for us to be more
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efficient and real value, that
means the whole human Force goes
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up and we all become more
efficient, and more money and be
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better at doing a job.
A great Insight.
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So this is the way I, how you,
how I can put it.
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This is the way I also talked
about AI as many of people out
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there.
They are calling it.
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An augmentation of what we can
do.
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Like, we see it as an assistant
to us.
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It's not like we will rely 100%
on it from my personal
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experience.
I can tell you it saves a lot of
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time to me.
It count.
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It can at least, you know, Or
brainstorming, it's excellent.
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But at the end of the day, I
have to put, put the text out
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whether it's I'm writing
something, or maybe I'm
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recording even sometimes myself.
So so this is very interesting
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point.
So talking continuing with AI
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Raj and, you know, we touched
base on content creation, what
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other areas or I mean in the
future, we can say AI other than
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content.
It can also have big impact on.
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What do you think the next era
would be?
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Well, I think AI is really good
at.
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And that's the main purpose of
the eye is to is to allow a, i
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to help the disease thing is to
help with pattern recognition,
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that big data stuff that you can
pass through it.
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We get trend-setting that's the
area but it's really powerful
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and the areas where there is a
log data, input required, the
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analyze things, I think one area
to contain costs medical like
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You know, biochemistry medical
Sciences is a tentative date.
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I was kind of is required.
In fact, my first ever drop as a
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programmer was to program the
machine to detect AIDS, and
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other diseases from the samples
of blood.
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And remember, in our data, you
get is so much that it's hard to
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process it, but to find the
pattern to find the unknown.
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I think that's where AI is
really, really powerful.
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Oh, so I see in medical science,
has a big opportunity then, you
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know, similarly anything which
is like, for example, you know,
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you looking through space and
you want to find patterns that
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that sort of subset in things
like requires a lock additional
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power and you can't get human
beings to do it.
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That's where a, I can do a great
job for us.
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I think, you know, I think the I
mean the world is our oyster and
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comes to a i recognition.
I mean so far if we look at the
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big incumbents, they've used it
like Facebook and Google user
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for like settling us more ads.
For example, or giving us more
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videos or like post on Facebook,
for example, which I think is a
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okay use of it.
I think the big user of this is
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really to look at the big
opportunity in science.
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Advancements.
And that's where I see the real.
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He used his Narrative of this
and so, you know, all these
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things, but we talked about
brainstorming, for example, idea
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creation, for example, using it
as a friend.
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I mean, people who give you
depression, for example, this is
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actually could be a friend for
them.
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I know that's a, you know, like
in the past we cry real human
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bean real human beings to kind
of do that.
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But now you can usually use VI
that education.
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It's a great all great tool for
Education.
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You actually, you know some of
these models right now is so
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small, like here we go.
Bytes of data can put a coat on
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your laptop that could be given
to somebody in a developing
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country.
They actually train them,
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educate them, make a teacher
would through chat or voice.
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I think that's a really powerful
use case of here in the coming
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years.
Let's get inside.
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Now let me ask you this because,
you know, look, you're you
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currently have your own business
and, you know, you have pursued,
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you know, this into a proper
like, you have a PhD degree.
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I know this.
So how you know, like this
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experience with a IO and the
expertise that you have
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collected, over the years, how
it impacted your journey as an
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entrepreneur and how you are
integrating.
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Hey, I in your current business
today.
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So, I must say that I was on a
PhD to do AI, but I did drop out
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because I didn't have enough
cash to finish my PhD, but I
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still did.
The research.
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I've been researching even
before the university.
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I was my invite you in my
Master's Degree.
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I was doing research.
Indeed.
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Several locations do own some
cash, but well say is this like
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I think as I was saying earlier
VI, you know, requires a lot of
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computation power because you
are building your Between
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reading the, the AI, you
generating these break and
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produced really heavy exercises
on computers Vision.
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She didn't have the power to
generate back in the day, but
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now we do, I think it has given
us a new new opportunity.
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It filled the stage drops way we
create new jobs as well, which I
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think is very exciting, what the
way I use PI right now is as you
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as you said earlier, you know, I
use a lot of recognition or
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patterns.
I could use it across.
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This is a mandate.
Yeah, for a company that
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everybody company has to use AI
in one form or the other.
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And we use it in sales for
example, or for recognizing they
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can we help our customers
better.
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So we get all the scenarios from
the customer looking at what
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they need and see, where are the
blind spots for the sales team
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to make it better.
We use it for recreation or
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first draft of a proposal.
And that's what As the beginning
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part, we then really come to
content creation.
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We use it as a starting point to
some tempered creation
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internally.
And I I actually encourage
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people to think about this as a
starting point for a lot of
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different exercises.
Because two, very powerful thing
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to do, the more context, you can
get the form of just data in the
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instance to GPT like tools or to
create like vectors, you kind of
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like, you know, quite a lot
input example.
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PDF files.
This is a very powerful
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opportunity and it was uplift.
A lot of people and allow them
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to do some great jobs.
I know I company, is he what?
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20, 25 percent of our costs?
Usually a, I and I think it's
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just just flip the iceberg.
I think there's much more to be
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saved.
This is something I'm personally
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also doing.
Now I have to give credit
249
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honestly usually like I'm not
affiliated with them guys but I
250
00:16:08,900 --> 00:16:15,800
have to give credit to the
opening I guys because the way I
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I think, of course, I'm not and
I'm not an expert too much in AI
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but I have took some courses
when I was in college and I know
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you know how machine learning
works.
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I think the way They have
designed the algorithms, it's
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like similar to when you when
you play chess game with a, with
256
00:16:35,100 --> 00:16:37,700
a computer.
So the computer can, you know,
257
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couple of steps.
I mean, you know, it does like
258
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couple of steps ahead and let's
not call it thinking or
259
00:16:46,300 --> 00:16:49,100
reasoning.
But in just, you know, trying to
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do some possibilities.
And really what opening II is
261
00:16:52,400 --> 00:16:55,000
very good at because I want to
highlight what you mentioned
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regarding giving the context.
And actually, I did a lot of
263
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Experiments with this, the more
context you give like kind of
264
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who what, why mainly and couple
of other things.
265
00:17:11,200 --> 00:17:14,200
It start to really generate.
You know, it's surprised game
266
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many times by doing this
reasoning and this is what I
267
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want to ask you.
Actually, I covered on a, you
268
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know, I just edited in a form of
commentary on this new Ation
269
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also, which they are using
actually Opening Our apis to
270
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create these smart Bots that
they can do tasks and they can
271
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do you know reasoning.
What do you think about that
272
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area?
That now we are seeing.
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00:17:43,300 --> 00:17:47,600
Also there are top couple of of
them to which I know I tried
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Auto GP T and baby AGI.
How do you see you see this
275
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going?
Well, I mean, it's a great,
276
00:17:57,100 --> 00:17:58,900
great question.
I mean if you look at Auto GP,
277
00:17:59,400 --> 00:18:02,100
And what?
BBG GPT.
278
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Oh, that's cold.
Yeah, we give you the GI bit,
279
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maybe a GI.
Sorry if you look at these these
280
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tools, when what they really are
since you're, you know, you're
281
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CTO and you're working
Technologies, basically it's
282
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just a for loop.
It's all his doing really is
283
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taking like taking the
different.
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They can one input from and Ai
and then putting it back into
285
00:18:26,800 --> 00:18:30,600
the the next putting the scene.
Bring to the another, another
286
00:18:30,600 --> 00:18:34,600
time to the eye, they've been
executing that part.
287
00:18:34,600 --> 00:18:36,600
Even again again again, which
was all.
288
00:18:36,600 --> 00:18:39,100
Ooh, it basically, it's simple
words.
289
00:18:39,200 --> 00:18:44,500
It's basically taking one step
putting into the eye.
290
00:18:44,600 --> 00:18:47,900
It's a black box, get the
output, we're back into the
291
00:18:47,900 --> 00:18:50,500
integer thing.
And as you do that, you execute
292
00:18:50,500 --> 00:18:55,000
what the AIA just said?
I mean at is not rocket science
293
00:18:55,000 --> 00:18:58,000
of being honest with you, it is
what you expected to do.
294
00:18:58,500 --> 00:19:00,400
But there is A human
intervention die.
295
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This is the two things, two
elements to this one.
296
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It is fascinating to see that
world can do.
297
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Will you can act as independent
agent and just do things for us
298
00:19:13,100 --> 00:19:16,000
equals very scary as well while
the scary.
299
00:19:16,300 --> 00:19:20,400
Well, if you just allow it to do
things on your behalf without
300
00:19:20,800 --> 00:19:25,100
you saying yes or no, I mean,
was just stopping for example.
301
00:19:25,100 --> 00:19:28,900
You say, well, make me a million
dollars and here's Jordan.
302
00:19:29,000 --> 00:19:32,500
Thousand dollar seed money, it
goes in, it takes money from
303
00:19:32,500 --> 00:19:34,600
your account, investor somewhere
else.
304
00:19:34,700 --> 00:19:38,300
The next step is like, with - or
else, what if it was all the
305
00:19:38,308 --> 00:19:40,400
cash for you?
You know, all this kind of
306
00:19:40,400 --> 00:19:42,400
things can happen.
I mean, this is a very
307
00:19:42,400 --> 00:19:46,600
simplistic scenario.
I'm going to say is that we are
308
00:19:47,000 --> 00:19:50,100
at the cusp of a very big change
it.
309
00:19:50,100 --> 00:19:54,900
As we allow this to be
autonomous and allow it to be
310
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open, these can change rapidly.
For us, we have to make sure
311
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that we have the AI safety.
We have some regulations and
312
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rules around this because, you
know, the impact could be
313
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massive, special.
Even when you are dealing with,
314
00:20:11,100 --> 00:20:15,200
you know, bigger changes or
bigger impact without human
315
00:20:15,200 --> 00:20:19,300
supervision involves in it.
So, I don't know.
316
00:20:19,300 --> 00:20:21,300
I mean, I have bitch things
feelings about it.
317
00:20:21,300 --> 00:20:25,700
I think we are in that next
step, where we are going to
318
00:20:25,800 --> 00:20:29,400
allow it to do different things
but you make sure that We are
319
00:20:29,400 --> 00:20:32,500
ready to read something.
Just not a monster for us in the
320
00:20:32,508 --> 00:20:37,300
future.
And this will bring me to ask
321
00:20:37,300 --> 00:20:42,200
you the next question because
people always wonder, are we
322
00:20:42,200 --> 00:20:49,700
going to lose our jobs?
And if this is the case, what
323
00:20:49,700 --> 00:20:54,600
skills should we acquire to be
ready for again?
324
00:20:54,800 --> 00:20:59,500
The next phase of the, the AI
era?
325
00:21:01,300 --> 00:21:06,400
Well, I mean the three actually
in this is like, I mean, 20
326
00:21:06,400 --> 00:21:10,000
years back he'd be ever.
Imagine that they will be
327
00:21:10,000 --> 00:21:14,100
dropped like social media
manager or digital marketing
328
00:21:14,100 --> 00:21:19,300
manager or digital marketing
agency or I don't pick up
329
00:21:19,300 --> 00:21:23,400
marketing or they will be a
billionaire YouTuber the back of
330
00:21:23,400 --> 00:21:25,900
great videos, like, like, mr.
Beast.
331
00:21:25,900 --> 00:21:28,600
I mean, we couldn't think of
that, right?
332
00:21:28,600 --> 00:21:32,100
Like that was just unheard of
And all these Technologies and
333
00:21:32,100 --> 00:21:36,800
all these changes are just
common the last in 20 years and
334
00:21:36,800 --> 00:21:41,200
here comes another technology.
Another phase of innovation.
335
00:21:41,500 --> 00:21:45,100
We shall springboard.
New Opportunities already.
336
00:21:45,100 --> 00:21:49,400
Can't you hear people talking
about prompt engineering as a as
337
00:21:49,400 --> 00:21:53,700
an option, as an opportunity?
But I don't know myself.
338
00:21:53,700 --> 00:21:56,700
And I don't think many people
really understand what it might
339
00:21:56,700 --> 00:22:00,200
create for us.
Will there be laws?
340
00:22:00,400 --> 00:22:03,900
So jobs in the current job
sector.
341
00:22:04,100 --> 00:22:08,000
The current job titles,
probably, but that doesn't mean
342
00:22:08,000 --> 00:22:11,400
that it won't be new jobs
created out of it and most
343
00:22:11,400 --> 00:22:14,800
likely to be discreet it out of
it will be far more than the
344
00:22:14,808 --> 00:22:19,400
ones we lose, for example.
So, it's time to think about
345
00:22:19,400 --> 00:22:22,400
this, as a way to elevate
ourselves, as opposed to
346
00:22:22,400 --> 00:22:27,000
thinking of it as a job Seeker,
it will be a job creator for us.
347
00:22:27,200 --> 00:22:30,700
It will be a net positive for
Russell, and I think, That's the
348
00:22:30,700 --> 00:22:32,900
mindset.
But I don't have the answer as
349
00:22:32,900 --> 00:22:36,600
to what it might create.
Because you know, we just tip of
350
00:22:36,600 --> 00:22:40,500
the iceberg.
I, as we cool father, who knows
351
00:22:40,900 --> 00:22:43,900
what comes next?
Yeah.
352
00:22:43,900 --> 00:22:47,700
Like of course no one can
predict the future and the
353
00:22:47,700 --> 00:22:51,000
present.
This is something for sure, but
354
00:22:51,600 --> 00:22:56,300
my opinion and I'm repeating and
I hope like whoever is watching
355
00:22:56,300 --> 00:23:00,700
or listening, they don't get
bored because I always repeat
356
00:23:00,700 --> 00:23:05,000
this it's not like something we
live the first time as you
357
00:23:05,000 --> 00:23:07,200
mentioned, like it's not the
first time we have a new
358
00:23:07,200 --> 00:23:11,000
technology that is disrupting.
The best thing to do now is to
359
00:23:11,000 --> 00:23:17,400
just try to learn How to use it.
I would say and try to think.
360
00:23:18,100 --> 00:23:20,300
And this were the thought
leadership that you talked about
361
00:23:20,300 --> 00:23:24,900
rats would come into the picture
by to see how you can utilize it
362
00:23:24,900 --> 00:23:28,300
to upscale yourself, or, you
know, do something useful.
363
00:23:28,700 --> 00:23:32,500
Now, I want to, you know, talk
about little bit, the digital
364
00:23:32,500 --> 00:23:36,800
content, right?
So, You've been doing this for a
365
00:23:36,808 --> 00:23:41,000
long time.
And how did you see the digital
366
00:23:41,000 --> 00:23:43,100
content?
Let's keep evolving over the
367
00:23:43,100 --> 00:23:46,400
years.
And what are we going to see in
368
00:23:46,400 --> 00:23:51,200
the near future?
Yeah, so bit of context of why I
369
00:23:51,200 --> 00:23:56,300
start looking at this show
digital media or content.
370
00:23:57,200 --> 00:24:02,800
It's because, as I mentioned,
I'm an engineer, but without
371
00:24:02,800 --> 00:24:10,200
studying University Research,
somebody used me to my space for
372
00:24:10,200 --> 00:24:13,900
people who don't want my space,
my speciality, the Facebook of
373
00:24:13,900 --> 00:24:19,700
the older folks like myself.
And when I left, Like, this is
374
00:24:19,700 --> 00:24:22,300
my space and like, oh, I could
do this myself.
375
00:24:22,300 --> 00:24:27,200
So, I program for three weeks or
so, 18 hours a day program to
376
00:24:27,200 --> 00:24:32,400
include on MySpace, but then I
had this beautiful code, but I
377
00:24:32,400 --> 00:24:34,200
couldn't sell it.
I could Market it.
378
00:24:34,300 --> 00:24:38,000
So, I've been to somebody in the
name, the government sort of
379
00:24:38,300 --> 00:24:42,000
bodies in the UK and they said,
well, you do some marketing.
380
00:24:42,000 --> 00:24:44,900
Uh, what's that using selling
was that?
381
00:24:44,900 --> 00:24:46,000
I don't know.
I'm an engineer.
382
00:24:46,300 --> 00:24:50,600
So I did a bit of a crash course
on At a crash caused MBA.
383
00:24:51,500 --> 00:24:54,200
And then I learned or marketing
and selling and I created in
384
00:24:54,200 --> 00:24:56,800
love with marketing.
And then I said that I've been
385
00:24:56,800 --> 00:25:01,200
this software social media
software for pro large clients
386
00:25:01,200 --> 00:25:03,700
and their customers to help them
increase your sales.
387
00:25:04,000 --> 00:25:06,400
And I did this, you know, this
is again again, in the last
388
00:25:06,400 --> 00:25:09,100
thing I did before I started
Goodman and in my current
389
00:25:09,100 --> 00:25:12,800
company is that I work for a
company and help them grow their
390
00:25:13,300 --> 00:25:17,800
hair revenue from Seven half
million, the 45 million in the
391
00:25:17,800 --> 00:25:19,800
back of great content.
Storytelling.
392
00:25:20,300 --> 00:25:23,400
I was like, this, is it in B2B
marketing.
393
00:25:23,400 --> 00:25:26,900
This is definitely it.
And, if it works for Telecom
394
00:25:26,900 --> 00:25:30,700
insurance, I'm sure to also
works for manufacturing and
395
00:25:30,700 --> 00:25:33,300
defends and Healthcare, and
biotech.
396
00:25:33,500 --> 00:25:36,000
And so, I thought, okay, well,
this is going to create to
397
00:25:36,500 --> 00:25:39,900
create content in about nine
years back and, you know, rest
398
00:25:39,900 --> 00:25:42,400
is history.
We've been growing here on here
399
00:25:42,800 --> 00:25:46,500
really, helping steal the ideas
and thought leadership, it was
400
00:25:46,500 --> 00:25:50,400
ability where CEO or a Clients
will content.
401
00:25:50,600 --> 00:25:56,300
I think this whole digital hero
media, and digital content.
402
00:25:56,300 --> 00:25:58,500
It mean, this is the prime wait,
to be discovered.
403
00:25:58,500 --> 00:26:01,100
Now, go on a days where you
should look at newspapers
404
00:26:01,300 --> 00:26:05,800
magazines or flying be like, you
know, about what's that or, you
405
00:26:05,808 --> 00:26:08,900
know, or have to call somebody
the phone to find them out, or
406
00:26:08,900 --> 00:26:09,600
cold?
Call them.
407
00:26:09,900 --> 00:26:13,700
There is a big influx of this
shoe, media everywhere.
408
00:26:14,400 --> 00:26:17,600
Especially, you know, how we
discover companies or products
409
00:26:17,600 --> 00:26:20,700
or Services, you know?
No Tick-Tock Hoops.
410
00:26:20,800 --> 00:26:23,800
Google's looping through search
engines.
411
00:26:23,800 --> 00:26:28,000
I mean it is fascinating.
And as you go further it's not
412
00:26:28,000 --> 00:26:30,300
going to change.
It will just accelerate quite a
413
00:26:30,300 --> 00:26:32,900
bit.
But one thing is going to stay
414
00:26:32,900 --> 00:26:36,300
stable and the same which is
taught leadership.
415
00:26:36,700 --> 00:26:38,600
Hawk.
Dealership is something, which
416
00:26:38,600 --> 00:26:41,600
is what makes the world go
round.
417
00:26:41,800 --> 00:26:44,800
Let me give you example.
Hundreds of years.
418
00:26:44,800 --> 00:26:50,800
Back Napoleon used to do, press
releases to talk about are his
419
00:26:50,800 --> 00:26:54,500
War campaigns and send the best
reasons to cassettes.
420
00:26:54,900 --> 00:26:57,400
We get more basically get more
funding for his walk.
421
00:26:57,400 --> 00:27:01,400
Our brains, you see all this
time has been content in one
422
00:27:01,400 --> 00:27:03,600
form or the other.
The one thing has remained
423
00:27:03,600 --> 00:27:09,600
constant across the board is
Provoking content which is what
424
00:27:09,600 --> 00:27:12,900
leadership content if there is
totally ship in the continent,
425
00:27:12,900 --> 00:27:16,700
there is some real value in the
content people who consume it
426
00:27:16,800 --> 00:27:20,000
Elle readers in multiple forms
in the back in the previous
427
00:27:20,000 --> 00:27:24,100
times you for newspapers and
gazette's now is Tick-Tock, you
428
00:27:24,100 --> 00:27:28,400
know Facebook social media
websites and the above.
429
00:27:28,400 --> 00:27:31,200
So what is good is going to
happen is going to change of
430
00:27:31,400 --> 00:27:33,300
medium.
The thought leadership is going
431
00:27:33,300 --> 00:27:37,100
to remain the same so I say
folks in top leadership, Give
432
00:27:37,100 --> 00:27:40,700
her the medium, we will come and
go, but you just be a thought
433
00:27:40,700 --> 00:27:42,700
leader in your space and people
will come to you.
434
00:27:45,300 --> 00:27:48,100
Great advice.
I would say Raj and this is
435
00:27:48,100 --> 00:27:50,300
something myself.
I figured it out.
436
00:27:50,300 --> 00:27:53,200
Also as well.
That yeah like what is what can
437
00:27:53,200 --> 00:27:57,300
I say is you you thought you you
what your contribution?
438
00:27:57,300 --> 00:28:01,300
So hundred percent.
Now like I want to ask you also
439
00:28:02,300 --> 00:28:07,400
given your you've worked like in
startups and large
440
00:28:07,400 --> 00:28:10,300
organizations.
How do you compare this
441
00:28:10,300 --> 00:28:14,000
experiences like what unique
challenges and opportunities to
442
00:28:14,500 --> 00:28:16,700
each?
Each environment resent you.
443
00:28:19,100 --> 00:28:22,800
Great question that I keep that.
I remembered what I would say
444
00:28:22,800 --> 00:28:28,000
is, I obviously enjoyed both the
sharp experience, as well as the
445
00:28:28,000 --> 00:28:30,600
corporate experience.
For me, what was really
446
00:28:30,600 --> 00:28:35,400
interesting with corporate shoes
that, you know, it's a great
447
00:28:35,500 --> 00:28:36,900
springboard.
It's a great learning
448
00:28:36,900 --> 00:28:40,400
opportunity.
You know, I recommend almost
449
00:28:40,400 --> 00:28:48,200
every new and new entrant to
kind of go into this there to
450
00:28:48,200 --> 00:28:51,600
find with.
Ecology of learning you
451
00:28:51,800 --> 00:28:58,000
corporates to working with
organizations but then maybe
452
00:28:58,000 --> 00:29:02,100
that's the whole for many but
equally the others who really
453
00:29:02,100 --> 00:29:07,100
enjoy being Innovative being
entrepreneurial and actually
454
00:29:07,100 --> 00:29:10,800
like I had the bug, I always had
that bug up doing my own thing.
455
00:29:11,300 --> 00:29:13,500
I love you, discovered later in
life.
456
00:29:13,500 --> 00:29:16,900
I never sold lemonade.
Lemonade stands as a child at
457
00:29:16,900 --> 00:29:18,600
school.
I must say, I didn't do that.
458
00:29:18,900 --> 00:29:22,400
But I wish I did though as he
ought to be good, but when I
459
00:29:22,400 --> 00:29:26,500
discovered the entrepreneurship
bug, she said I never be
460
00:29:26,500 --> 00:29:28,600
returned back.
I work for corporate symbol.
461
00:29:28,800 --> 00:29:32,700
Then I was it intrapreneur in
the corporate so they don't
462
00:29:32,700 --> 00:29:37,600
appear in the company itself.
I think for some people that the
463
00:29:37,600 --> 00:29:44,100
whole passion, the thrill, the
ups and downs are part of their
464
00:29:44,100 --> 00:29:46,400
lives.
And that's what that what makes
465
00:29:46,400 --> 00:29:49,900
them think that Definitely case
for me.
466
00:29:49,900 --> 00:29:56,500
So, for me in my circumstances,
I do enjoy the startup route, to
467
00:29:56,500 --> 00:30:00,400
run a company to grow a company
based off everybody, and I think
468
00:30:00,400 --> 00:30:02,800
it's to understand what is good
for us.
469
00:30:03,000 --> 00:30:07,600
It wouldn't match their
personality That's great inside
470
00:30:07,600 --> 00:30:11,800
and I agree with you.
Like someone should at least see
471
00:30:11,800 --> 00:30:14,100
how Corporate looks like before
they start.
472
00:30:14,500 --> 00:30:19,300
And it's good also, to, to see
how processes work, like, why
473
00:30:19,300 --> 00:30:23,000
sales is needed, why marketing
is needed, why business
474
00:30:23,000 --> 00:30:27,300
development is needed, and then,
you know, although it's not a
475
00:30:27,300 --> 00:30:31,300
rule as you said, because we
know there are a lot of even
476
00:30:31,400 --> 00:30:34,800
College dropouts who started
their businesses and they have
477
00:30:34,800 --> 00:30:37,600
never to be in.
In incall in corporate.
478
00:30:37,600 --> 00:30:40,800
Which is so as you said that
depend on the situation and the
479
00:30:40,800 --> 00:30:45,600
lot of things now, One thing,
you know, like because you've
480
00:30:45,600 --> 00:30:49,000
been also in the startup for a
long time and you had a lot of
481
00:30:49,008 --> 00:30:54,600
Adventures, what's your take on
the startup ecosystem today?
482
00:30:54,600 --> 00:31:02,000
All there, any I would say areas
that we can change it to the
483
00:31:02,000 --> 00:31:04,100
batter.
Is there anything that we need
484
00:31:04,100 --> 00:31:07,200
to drop off?
And I'm talking about here from
485
00:31:07,200 --> 00:31:10,000
the whole startup ecosystem
perspective.
486
00:31:10,000 --> 00:31:14,400
Whether it's like you know, the
way we Published the business
487
00:31:14,900 --> 00:31:18,800
funding, you know, like all the
aspect, can you think of
488
00:31:18,800 --> 00:31:21,200
anything that really needs some
Innovation today?
489
00:31:21,300 --> 00:31:26,500
When it comes to startups?
Well I think by definition
490
00:31:26,500 --> 00:31:30,500
startups are an organization
which are very agile.
491
00:31:31,300 --> 00:31:36,800
Seriously why startups are
already been there with all the
492
00:31:36,800 --> 00:31:40,600
funding which large corporate
job is because it can maneuver
493
00:31:40,600 --> 00:31:43,400
much faster.
In fact, I read somewhere that
494
00:31:43,800 --> 00:31:48,400
bio and biomedical in
Pharmaceuticals, for example, in
495
00:31:48,400 --> 00:31:52,800
big companies, read for startups
to do the all the orientation.
496
00:31:53,000 --> 00:31:56,000
And when they going to get FDA
approved or almost there.
497
00:31:56,200 --> 00:32:00,600
That's when they jump on
acquiring them as that's the way
498
00:32:00,600 --> 00:32:05,700
they go about their Innovation
go.
499
00:32:05,800 --> 00:32:08,300
I think startups are a
Innovation hop, in many ways,
500
00:32:08,300 --> 00:32:10,800
it's it is no doubt that there
are startups.
501
00:32:10,800 --> 00:32:15,800
We will probably be without any
taxi sharing like with like
502
00:32:15,800 --> 00:32:21,200
uber, we would be without any
Innovative vacation homes, like
503
00:32:21,300 --> 00:32:24,200
Airbnb and the examples like
that.
504
00:32:24,400 --> 00:32:29,600
In the b2c and B2B world.
I think it was a time when I
505
00:32:29,600 --> 00:32:32,900
first started working with
startups that funding was much
506
00:32:32,900 --> 00:32:35,100
harder today.
There's a lot of fun in the
507
00:32:35,100 --> 00:32:37,500
market.
Well, I'm saying that it's be
508
00:32:37,500 --> 00:32:42,200
dried up the recent months
because of, which the bit of a
509
00:32:43,500 --> 00:32:47,300
recession like scenario at the
moment of globally.
510
00:32:48,600 --> 00:32:53,000
But I think one thing, which I
shall thought UPS should be
511
00:32:53,000 --> 00:32:57,800
proud of and Should do more of
is being location-independent.
512
00:32:57,900 --> 00:33:00,700
I think a lot of times I'm still
seeing that because thought of
513
00:33:00,700 --> 00:33:04,700
strap this mindset and don't say
it's wrong, but it's
514
00:33:04,700 --> 00:33:06,700
interesting.
Is that, are you have to be
515
00:33:06,700 --> 00:33:10,900
based in Silicon Valley, to be
able to raise money, or you have
516
00:33:11,200 --> 00:33:15,100
to do, I feel like, well,
actually you can be based in
517
00:33:15,300 --> 00:33:18,300
like you reason to buy.
For example, you can be based
518
00:33:18,300 --> 00:33:24,700
in, you know, in turkey or in
China Hong Kong and still Be
519
00:33:24,700 --> 00:33:28,800
able to raise money at me.
The right people, I think they
520
00:33:28,800 --> 00:33:32,800
needs to be a better feedback
loop and again their
521
00:33:32,800 --> 00:33:35,700
organizations which can be
really powerful and part of this
522
00:33:35,700 --> 00:33:39,900
11 version called Geo Ultras
organization which is a great
523
00:33:39,900 --> 00:33:42,600
way to meet new people and can
be given a lot.
524
00:33:42,800 --> 00:33:45,700
Well, there is no space but it's
important to have that
525
00:33:45,700 --> 00:33:50,700
connection to balance of the
lack of connection face-to-face.
526
00:33:51,600 --> 00:33:54,200
So what I'll say is that, that's
my only.
527
00:33:54,300 --> 00:33:57,900
The thing that I think they will
be more displacement, it will be
528
00:33:57,900 --> 00:34:01,400
more are startups, memories
stability.
529
00:34:01,400 --> 00:34:05,400
I, for example, is not facing in
California, but based in London,
530
00:34:05,400 --> 00:34:08,800
for example, so you can see that
this is already a lot of
531
00:34:09,000 --> 00:34:12,400
innovation happening in AI, for
example, which sobbing outside
532
00:34:12,400 --> 00:34:18,100
the the valley, and there is a
lot of issues UK expecting the
533
00:34:18,100 --> 00:34:22,699
UK, because of this very liberal
mindset, and in Dubai as well,
534
00:34:22,699 --> 00:34:25,300
and Dubai has some really We
interesting corporate
535
00:34:25,300 --> 00:34:28,500
structures.
So I think time short time will
536
00:34:28,500 --> 00:34:32,000
change and I think we'll have
more additional Clause become
537
00:34:32,000 --> 00:34:36,199
hears.
You you like, how, how to say
538
00:34:36,199 --> 00:34:41,800
this, you get to the point that
I always talk about, why only we
539
00:34:41,800 --> 00:34:44,500
can have big tech companies in
the valley.
540
00:34:44,600 --> 00:34:47,699
Why, you know, like I always
wanted this and why we cannot
541
00:34:48,000 --> 00:34:52,300
the good thing is, it's yeah, we
started to see, but if you ask
542
00:34:52,300 --> 00:34:59,000
the founder, Not all of them.
Oh but one day a Silicon Valley,
543
00:34:59,400 --> 00:35:03,300
big Tech will buy me.
Okay, why you don't go and buy
544
00:35:03,300 --> 00:35:04,800
something in from Silicon
Valley?
545
00:35:04,900 --> 00:35:10,100
Like for me, like, I'm not the
guy who's started up many
546
00:35:10,100 --> 00:35:12,400
companies.
I mean, you entrepreneurs thing
547
00:35:12,400 --> 00:35:17,200
but, you know, my dream is I go
and buy a start-up from the
548
00:35:17,200 --> 00:35:19,700
Silicon Valley because yeah,
Silicon Valley has.
549
00:35:19,700 --> 00:35:23,500
It's like, I would say,
emotional, like this kind of,
550
00:35:24,100 --> 00:35:28,800
you know, like we all have this
memories about what we like, how
551
00:35:28,800 --> 00:35:31,300
Apple started how Microsoft
start over.
552
00:35:31,400 --> 00:35:34,900
Microsoft was in Seattle.
And anyway, when you talk about
553
00:35:34,900 --> 00:35:37,900
this, big text, like all they
started in the valley.
554
00:35:38,800 --> 00:35:42,400
Yeah, I wish that we one day, we
wish that stage.
555
00:35:42,400 --> 00:35:45,600
Why not?
From even like southeast Asia,
556
00:35:45,600 --> 00:35:49,000
maybe something from Africa,
actually, which is, I believe,
557
00:35:49,200 --> 00:35:53,600
they can come up with, with a
good Tech also that before we
558
00:35:53,600 --> 00:35:56,500
finish and this is something,
you know, not related, much to
559
00:35:56,500 --> 00:36:00,300
technology but it caught my eyes
Raj.
560
00:36:00,300 --> 00:36:06,300
So I know that in your company
you emphasize on, you know,
561
00:36:06,300 --> 00:36:13,100
having gender equality.
What did you see missing when it
562
00:36:13,100 --> 00:36:19,500
comes to diversity and inclusion
that, you know, became for you?
563
00:36:19,500 --> 00:36:22,900
A one of the pillars for your
current business.
564
00:36:26,200 --> 00:36:27,500
Thank you.
That was something that question
565
00:36:27,500 --> 00:36:28,700
our church.
Wait, wait.
566
00:36:28,700 --> 00:36:33,300
Dear to my heart diversity
inclusion and let me explain why
567
00:36:33,300 --> 00:36:36,600
that's the case.
So when I was studying at
568
00:36:37,000 --> 00:36:42,300
school, I obviously had like, I
would say 50/50 Sciences women
569
00:36:42,300 --> 00:36:46,700
and men as a going to University
here or that drops to like
570
00:36:46,700 --> 00:36:53,700
almost 1 in 150 of our women.
And then I go to the workspace
571
00:36:54,000 --> 00:36:58,100
and corporations he just hardly.
Women in technology and I have a
572
00:36:58,100 --> 00:37:01,700
daughter who was two years old
and I don't want her to come up
573
00:37:01,700 --> 00:37:05,300
in a on a society where women
are not given the opportunity to
574
00:37:05,300 --> 00:37:10,300
to to be equal in every stance.
Every space, every sphere and
575
00:37:10,400 --> 00:37:12,800
I've taken on myself to change
that.
576
00:37:13,100 --> 00:37:16,800
So what's so that that couldn't
be Landin company?
577
00:37:16,800 --> 00:37:22,400
I found it and now it's nine
years old, we encourage and
578
00:37:22,400 --> 00:37:24,700
Empower women in technology and
marketing.
579
00:37:25,800 --> 00:37:30,900
That 80% plus our women in the
organization and you know we
580
00:37:30,900 --> 00:37:36,000
work in the high-tech sector.
Now I want to almost challenge
581
00:37:36,300 --> 00:37:38,000
section.
Say yes, we can.
582
00:37:38,300 --> 00:37:40,900
It's going to make an impact and
this one just talk about it.
583
00:37:41,200 --> 00:37:44,200
This makes an action to make it
happen so much so that as I
584
00:37:44,208 --> 00:37:50,000
mentioned, 80% plus our women in
good Dimension and walk clients
585
00:37:50,000 --> 00:37:54,200
tell us from talking to them is
that because we have the team
586
00:37:54,200 --> 00:37:58,200
members, they Take great care of
them throughout the journey,
587
00:37:58,200 --> 00:38:01,900
working with us.
Also, the content reproduce is
588
00:38:01,900 --> 00:38:05,400
more more neutral and more
balanced as well.
589
00:38:05,700 --> 00:38:11,000
I think there's a lot of
advantage or actually empowering
590
00:38:11,500 --> 00:38:17,200
marginalized communities or or
gender, for example, and make a
591
00:38:17,200 --> 00:38:22,100
change because, you know, it's
easy to kind of follow the trend
592
00:38:22,400 --> 00:38:24,500
with a buck.
The trend is rare, you're pretty
593
00:38:24,500 --> 00:38:28,300
a lie.
So I think women are a secret
594
00:38:28,300 --> 00:38:32,800
secret Force to to code in the
future of businesses, with only
595
00:38:32,800 --> 00:38:35,500
care about his grow, your bottom
line, I'd pop by.
596
00:38:35,500 --> 00:38:38,400
And I think work with more than
many, especially in technology
597
00:38:38,400 --> 00:38:41,700
and marketing, it will change
the business completely and I
598
00:38:41,700 --> 00:38:45,600
know I that change is seen in my
business and I think people who
599
00:38:45,600 --> 00:38:48,500
carry following that document
for us, but you guys just a
600
00:38:48,500 --> 00:38:53,900
cheek swab, That's something
that also I personally believe.
601
00:38:53,900 --> 00:38:56,600
And, you know, it's like about
not only what from gender
602
00:38:56,600 --> 00:39:01,300
perspective, diversity inclusion
is something very important for
603
00:39:01,300 --> 00:39:06,600
any, whether you are a start-up
or established business, this is
604
00:39:06,600 --> 00:39:11,800
something that it's a must have.
But, you know, usually when I
605
00:39:11,800 --> 00:39:17,000
see, you know, like how women
they can participate in Tech, I
606
00:39:17,000 --> 00:39:19,900
see them very successful
actually because I Believe I
607
00:39:19,908 --> 00:39:22,900
read somewhere that they can be
more organized than man.
608
00:39:23,500 --> 00:39:26,500
You know, and they, you know,
they can structured in a better
609
00:39:26,500 --> 00:39:30,600
way.
So anyone really it's a very I
610
00:39:30,600 --> 00:39:35,100
would say a good from you decide
that you have dedicated this in
611
00:39:35,100 --> 00:39:37,700
your company Raj as we come to
an end.
612
00:39:37,700 --> 00:39:40,600
I have a now.
Traditional question, I asked
613
00:39:40,600 --> 00:39:44,000
them to my guests.
What is the question that you
614
00:39:44,000 --> 00:39:47,500
wished?
I asked you I think you've been
615
00:39:47,500 --> 00:39:51,800
very thorough their method
interview asking questions.
616
00:39:51,800 --> 00:39:57,800
I think, if I was to say what we
want Chris to ask, I think I
617
00:39:57,800 --> 00:40:08,100
would probably ask the question,
where do I see Goodman, London
618
00:40:08,300 --> 00:40:10,100
company going in the future?
I think that's something.
619
00:40:10,100 --> 00:40:13,000
I keep getting asked all the
time because it's content
620
00:40:13,200 --> 00:40:16,800
marketing agency.
And we are in the rain, Sink us
621
00:40:16,800 --> 00:40:21,400
Paul VI Innovation.
The only answer the question as
622
00:40:21,400 --> 00:40:24,800
well or just regular course you
can answer of course, of course,
623
00:40:24,800 --> 00:40:27,200
the idea is that you, you
answered the question.
624
00:40:27,200 --> 00:40:36,300
Of course, showed I would say
that I think there is a very
625
00:40:36,400 --> 00:40:40,600
exciting opportunity for
technology meeting human beings.
626
00:40:40,700 --> 00:40:46,700
I think I think we should be
complimenting each other.
627
00:40:47,700 --> 00:40:52,300
He I and you even human beings
as opposed to eating fish.
628
00:40:52,300 --> 00:40:55,100
As a threat only if not used
properly.
629
00:40:55,100 --> 00:40:57,600
Yes, it can be a threat but it's
also an opportunity.
630
00:40:58,000 --> 00:41:01,600
I think going forward going to
London is going to be a
631
00:41:01,800 --> 00:41:06,000
important player in the a I'm
each human especially in the
632
00:41:06,000 --> 00:41:07,900
content space.
I think this is going to be very
633
00:41:07,900 --> 00:41:12,800
exciting PS4 for us and I'm
actually actually can't wait for
634
00:41:12,800 --> 00:41:15,600
this to, you know, to actually
make that happen.
635
00:41:15,900 --> 00:41:19,100
So I also say thank you members
for the opportunity to speak
636
00:41:19,100 --> 00:41:22,700
with you and all the insights
you've allowed me to speak in
637
00:41:22,708 --> 00:41:24,200
order to learn from you as well
member.
638
00:41:24,500 --> 00:41:26,100
But oh, thank you so much for
talking to me.
639
00:41:27,000 --> 00:41:33,200
Just just, I like the way you
ended when you said, like,
640
00:41:33,200 --> 00:41:38,600
things are exciting.
I'm always an optimistic guy and
641
00:41:38,900 --> 00:41:43,000
I'm repeating this again.
And again, AR is Technology,
642
00:41:43,000 --> 00:41:46,700
that we can leverage.
Yes, it can be used in a, I mean
643
00:41:47,000 --> 00:41:50,000
negative way, but something
like, this is our pledge to many
644
00:41:50,000 --> 00:41:52,100
things as well.
And we are repeating maybe
645
00:41:52,100 --> 00:41:54,900
ourselves.
Like when the internet came up,
646
00:41:54,900 --> 00:41:58,000
people start to say they can be
used in a bad way.
647
00:41:58,200 --> 00:42:01,100
Same thing happened to the
smartphone say, I mean you
648
00:42:01,100 --> 00:42:05,400
technology of course it falls in
the hands of that people if they
649
00:42:05,400 --> 00:42:08,100
can do something bad with it.
But let's see how we can
650
00:42:08,100 --> 00:42:11,900
leverage this technology to
create a better world and you
651
00:42:11,900 --> 00:42:15,100
know, Have a better future
rather I really enjoyed you know
652
00:42:15,100 --> 00:42:18,800
the inside that you gave and the
experience that you have, thank
653
00:42:18,800 --> 00:42:23,300
you very much for being a guest
with me today and as usual at
654
00:42:23,300 --> 00:42:27,000
this, to the audience, if you
have any feedback or questions
655
00:42:27,000 --> 00:42:29,900
about this episode or the show
in general, please don't
656
00:42:29,900 --> 00:42:33,600
hesitate to reach out to me.
You can send me an email, reach
657
00:42:33,600 --> 00:42:35,400
out to be by LinkedIn or
Twitter.
658
00:42:35,700 --> 00:42:37,100
If you are interested to be a
guest.
659
00:42:37,100 --> 00:42:40,200
Same as rush today, you can also
let me know.
660
00:42:40,200 --> 00:42:43,500
We can discuss that and we will.
Arrange for this.
661
00:42:43,800 --> 00:42:48,500
If you are a first-time viewer
or listener, don't forget to
662
00:42:48,500 --> 00:42:50,300
subscribe.
If you are watching this on
663
00:42:50,300 --> 00:42:53,400
YouTube or if you are listening
on your favorite broadcasting
664
00:42:53,400 --> 00:42:57,900
platform and also please tell
your friends colleagues and
665
00:42:57,900 --> 00:43:00,900
family about the show.
We are trying to make it as much
666
00:43:00,900 --> 00:43:06,300
informative as possible and as
usual thank you very much and we
667
00:43:06,300 --> 00:43:08,000
will meet in next episode.
Thank you.
00:00:09,900 --> 00:00:12,400
Hello and welcome to a new
episode of the CTO show with
2
00:00:12,400 --> 00:00:13,800
mammoths.
My name is Muhammad.
3
00:00:13,900 --> 00:00:17,600
And as you know, I covered
topics from emerging technology
4
00:00:17,600 --> 00:00:23,800
like, AI cloud cybersecurity and
at the same time, I cover also
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startups and Entrepreneurship.
And also I host with me people
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who are subject, matter experts
in their field, people who are
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entrepreneurs themselves.
And today I'm very pleased to
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have with me.
Raj, who's joining me from the
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United Kingdom?
Kingdom, thank you very much for
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00:00:41,700 --> 00:00:44,100
joining me today.
Can you just a little bit?
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Brief about yourself and what
you do?
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Sure member.
Thank you for having me today.
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Really good to be here.
So, as you mentioned, my name is
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Raj, the founder and CEO of
Goodman.
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Luncheon, we are a team of
content, experts, helping
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customers, sell better, and grow
faster.
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A bit of background about me,
I'm actually used to research in
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AI it 28.
Is back when people didn't even
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know what a I was previously, my
mother thought a I was a study
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of UFOs.
So as you can see we are that
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was added like the day.
But today, today obviously
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Windows away.
I it's the buzz word git.
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Beauty has made it obviously a
household name, but this might
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hurt business in the past have
stolen business.
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One was a great experience,
running it.
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So I In not complete the day we
work.
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Primarily with high-tech
companies, from defense to spin
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Tech to Telecom organizations
and we help them with content
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creation based on our team and
as we talked also through lots
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of work, we're doing it within
the ice base.
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Now emerging is a Content space.
That's very, you know like a
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great experience I would say Raj
let's start you know, discussion
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from where you left it so you
have experience in Ai and you
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are in content creation, just,
you know, people nowadays.
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They are thinking that, okay, I
can do the whole thing for me,
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right?
So from your experience, you've
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been, you know, in this for a
long time and you understand, I
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mean both From digital marketing
perspective. + AI perspective,
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what do you think the future
holds for digital marketing?
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You know and and in the presence
of what we are seeing with
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generative AI?
Yeah it's a great question
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member so I would say that we
are currently a very destructive
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phase of a.
I think he is been around for
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many years and housing research
was more.
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Reticle didn't have the gpus we
run the algorithms they they are
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available and evil.
There's like Nvidia and others
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emerging are doing a great great
bit of business day.
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We were sitting yesterday.
I read that in Nvidia is going
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to be at 1 trillion dollar
business, maybe more.
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But I think what's interesting
for content is that people are
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experimenting with which igbt
with board and other end.
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Times that's that that stands
for a large language models.
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Basically, you know, big
transformers which are allowing
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us to create content and the
initial perception is that?
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Well, this is it, you know, if
you got everything we need, but
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if you look at content creation,
congregation is a very complex
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process.
It is, it is a process of
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taking, a thought leadership, a
visibility perspective into
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written or for example, with
your production.
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Norma jizz.
It takes a lot more than just
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creating content from a
generative AI perspective.
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Or Ln perspective, think about
how do we bring in the
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complexities, in the knowledge
of individuals or companies into
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this content and that's not an
easy job because there's some
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data is out to the public.
The other proprietary data,
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which obviously, these deep PT's
are not all the tools are not
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trained on, so and those bits
are really important.
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And why is that well He has been
from one state elects to capture
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and you said new data if you
just remix the data again again
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you put that in.
It's not really helping the AI
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to learn from it.
And so famously at this
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experiment, a kind of talk very
quickly, maybe to your audience,
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is that Christian content, which
is, you know, say a thousand
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words, article done by catchy
Beauty and then do another
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article.
She's your really thought
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leadership content, or using
beings and feed both them back.
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New Jersey between asked for
scoring and you'll see the
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difference Jake, the court
rejected by human beings, which
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are very thought leadership
driven with experts, regarding
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the content ranks, very hard,
higher than just charity driven
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content, it is because it would
remix your content is great, but
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base when you bring in the
analysis and thought leadership
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into, it makes it very
different.
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Aunt and imagine fast forward to
today.
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Say, two years.
Three years.
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We never see an array of content
coming in would be 10x 10x more.
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How do you stand out then?
And the only answer is thought
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leadership and that requires
being creative having a stance
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being different and that
requires real human beings.
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So AI is great.
Are you need even to mention
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really lie in this journey?
That's a very good point, right?
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00:06:08,800 --> 00:06:12,900
And you know, I had in another
episode they, you know, me and
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they guessed this discussion
that some people are little bit
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too worried.
That first regarding the point
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you just mentioned like we will
have next sorry to say a lot of
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rubbish out there right because
people will be generating so but
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at the same time people you know
we are humans we like shortcuts,
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we like to take the easy path,
right?
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So How, what do you think we
should be doing to avoid as my
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guest mention?
It it will be like a dark age
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because all the information
would be generated from from AI,
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which is actually, as you said,
an interpretation of an old text
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that someone wrote and just AI
is rewriting it in a different
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way.
So, this whole Theatre shit
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because, you know, yourself
myself and a lot of people out
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there, we try to You know, get
this information but how we
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should make sure that this
doesn't happen.
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I mean we have a dark age
because no new content is
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generated.
What will what else is this?
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I don't think the dog cage of
content.
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Actually this is the age of
opportunity in my opinion.
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And really, why that's the case
and typically, if you look at
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cotton creation, there's a lot
of different steps involved in
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it.
There is, you know, if you look
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at professionally, Gordon
creation requires a kickoff,
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call a little research phase, a
writing phase editing, phase
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then, checking in with you know,
the top leadership.
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And before that unfortunately
there's also a place of
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interviewing experts for example
then clean the content editing
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then you know having the content
in rechecked couple of times
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before, it's ready for ready for
draft faced.
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Now, with AI, I think the
opportunity is to skip some of
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the research phase and start to
create.
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Some really interesting
templates, which you can, which
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can like the mundane tasks which
we do as content creators and be
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removed.
You can jump into the most
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exciting phase which is to
create real value.
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I think in that way actually I
is phenomenal.
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It To making us more efficient a
bit like in the back of the day
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when you should do and knitting
to create all the garments in
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ke, the machines it made the
process easier now, a lot, the
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really high-end goods are still
made by hand but the Q&A part
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for example some of the initial
building the in the pressing for
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example can be done
automatically so I think of this
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as an opportunity for us it's
not a dark age, but exactly is
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00:09:03,000 --> 00:09:04,500
up.
Opportunity for us to be more
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efficient and real value, that
means the whole human Force goes
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00:09:09,600 --> 00:09:13,500
up and we all become more
efficient, and more money and be
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00:09:13,800 --> 00:09:18,400
better at doing a job.
A great Insight.
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00:09:18,400 --> 00:09:22,700
So this is the way I, how you,
how I can put it.
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This is the way I also talked
about AI as many of people out
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there.
They are calling it.
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An augmentation of what we can
do.
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Like, we see it as an assistant
to us.
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00:09:35,700 --> 00:09:40,200
It's not like we will rely 100%
on it from my personal
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experience.
I can tell you it saves a lot of
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time to me.
It count.
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It can at least, you know, Or
brainstorming, it's excellent.
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But at the end of the day, I
have to put, put the text out
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whether it's I'm writing
something, or maybe I'm
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recording even sometimes myself.
So so this is very interesting
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point.
So talking continuing with AI
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00:10:03,400 --> 00:10:08,800
Raj and, you know, we touched
base on content creation, what
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00:10:08,800 --> 00:10:14,700
other areas or I mean in the
future, we can say AI other than
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content.
It can also have big impact on.
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What do you think the next era
would be?
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Well, I think AI is really good
at.
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And that's the main purpose of
the eye is to is to allow a, i
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00:10:30,100 --> 00:10:34,400
to help the disease thing is to
help with pattern recognition,
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that big data stuff that you can
pass through it.
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We get trend-setting that's the
area but it's really powerful
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and the areas where there is a
log data, input required, the
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analyze things, I think one area
to contain costs medical like
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You know, biochemistry medical
Sciences is a tentative date.
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I was kind of is required.
In fact, my first ever drop as a
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programmer was to program the
machine to detect AIDS, and
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other diseases from the samples
of blood.
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And remember, in our data, you
get is so much that it's hard to
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process it, but to find the
pattern to find the unknown.
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I think that's where AI is
really, really powerful.
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Oh, so I see in medical science,
has a big opportunity then, you
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know, similarly anything which
is like, for example, you know,
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you looking through space and
you want to find patterns that
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that sort of subset in things
like requires a lock additional
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power and you can't get human
beings to do it.
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That's where a, I can do a great
job for us.
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I think, you know, I think the I
mean the world is our oyster and
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comes to a i recognition.
I mean so far if we look at the
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big incumbents, they've used it
like Facebook and Google user
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for like settling us more ads.
For example, or giving us more
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00:12:02,600 --> 00:12:06,600
videos or like post on Facebook,
for example, which I think is a
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okay use of it.
I think the big user of this is
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really to look at the big
opportunity in science.
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Advancements.
And that's where I see the real.
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He used his Narrative of this
and so, you know, all these
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00:12:20,000 --> 00:12:22,600
things, but we talked about
brainstorming, for example, idea
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creation, for example, using it
as a friend.
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I mean, people who give you
depression, for example, this is
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actually could be a friend for
them.
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00:12:30,400 --> 00:12:34,800
I know that's a, you know, like
in the past we cry real human
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bean real human beings to kind
of do that.
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But now you can usually use VI
that education.
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It's a great all great tool for
Education.
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You actually, you know some of
these models right now is so
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small, like here we go.
Bytes of data can put a coat on
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your laptop that could be given
to somebody in a developing
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country.
They actually train them,
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00:12:53,200 --> 00:12:56,700
educate them, make a teacher
would through chat or voice.
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I think that's a really powerful
use case of here in the coming
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years.
Let's get inside.
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Now let me ask you this because,
you know, look, you're you
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00:13:08,400 --> 00:13:12,300
currently have your own business
and, you know, you have pursued,
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you know, this into a proper
like, you have a PhD degree.
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I know this.
So how you know, like this
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00:13:21,800 --> 00:13:25,100
experience with a IO and the
expertise that you have
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00:13:25,300 --> 00:13:30,700
collected, over the years, how
it impacted your journey as an
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00:13:30,700 --> 00:13:33,300
entrepreneur and how you are
integrating.
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00:13:33,800 --> 00:13:36,800
Hey, I in your current business
today.
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00:13:38,600 --> 00:13:43,600
So, I must say that I was on a
PhD to do AI, but I did drop out
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because I didn't have enough
cash to finish my PhD, but I
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still did.
The research.
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00:13:49,300 --> 00:13:51,900
I've been researching even
before the university.
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00:13:51,900 --> 00:13:53,900
I was my invite you in my
Master's Degree.
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00:13:53,900 --> 00:13:55,000
I was doing research.
Indeed.
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00:13:55,300 --> 00:14:01,100
Several locations do own some
cash, but well say is this like
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00:14:01,200 --> 00:14:05,500
I think as I was saying earlier
VI, you know, requires a lot of
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00:14:05,500 --> 00:14:08,800
computation power because you
are building your Between
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00:14:08,800 --> 00:14:13,200
reading the, the AI, you
generating these break and
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00:14:13,200 --> 00:14:17,200
produced really heavy exercises
on computers Vision.
220
00:14:17,300 --> 00:14:20,300
She didn't have the power to
generate back in the day, but
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00:14:20,300 --> 00:14:24,800
now we do, I think it has given
us a new new opportunity.
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It filled the stage drops way we
create new jobs as well, which I
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00:14:28,900 --> 00:14:33,800
think is very exciting, what the
way I use PI right now is as you
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00:14:33,800 --> 00:14:37,800
as you said earlier, you know, I
use a lot of recognition or
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00:14:37,800 --> 00:14:39,900
patterns.
I could use it across.
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00:14:40,100 --> 00:14:42,100
This is a mandate.
Yeah, for a company that
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everybody company has to use AI
in one form or the other.
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And we use it in sales for
example, or for recognizing they
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can we help our customers
better.
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So we get all the scenarios from
the customer looking at what
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they need and see, where are the
blind spots for the sales team
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to make it better.
We use it for recreation or
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first draft of a proposal.
And that's what As the beginning
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part, we then really come to
content creation.
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We use it as a starting point to
some tempered creation
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internally.
And I I actually encourage
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people to think about this as a
starting point for a lot of
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different exercises.
Because two, very powerful thing
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to do, the more context, you can
get the form of just data in the
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instance to GPT like tools or to
create like vectors, you kind of
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like, you know, quite a lot
input example.
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PDF files.
This is a very powerful
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opportunity and it was uplift.
A lot of people and allow them
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to do some great jobs.
I know I company, is he what?
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20, 25 percent of our costs?
Usually a, I and I think it's
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just just flip the iceberg.
I think there's much more to be
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saved.
This is something I'm personally
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also doing.
Now I have to give credit
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honestly usually like I'm not
affiliated with them guys but I
250
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have to give credit to the
opening I guys because the way I
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I think, of course, I'm not and
I'm not an expert too much in AI
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but I have took some courses
when I was in college and I know
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you know how machine learning
works.
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I think the way They have
designed the algorithms, it's
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like similar to when you when
you play chess game with a, with
256
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a computer.
So the computer can, you know,
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couple of steps.
I mean, you know, it does like
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couple of steps ahead and let's
not call it thinking or
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reasoning.
But in just, you know, trying to
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do some possibilities.
And really what opening II is
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very good at because I want to
highlight what you mentioned
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regarding giving the context.
And actually, I did a lot of
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Experiments with this, the more
context you give like kind of
264
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who what, why mainly and couple
of other things.
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It start to really generate.
You know, it's surprised game
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many times by doing this
reasoning and this is what I
267
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want to ask you.
Actually, I covered on a, you
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know, I just edited in a form of
commentary on this new Ation
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also, which they are using
actually Opening Our apis to
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create these smart Bots that
they can do tasks and they can
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do you know reasoning.
What do you think about that
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area?
That now we are seeing.
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Also there are top couple of of
them to which I know I tried
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Auto GP T and baby AGI.
How do you see you see this
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going?
Well, I mean, it's a great,
276
00:17:57,100 --> 00:17:58,900
great question.
I mean if you look at Auto GP,
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And what?
BBG GPT.
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Oh, that's cold.
Yeah, we give you the GI bit,
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maybe a GI.
Sorry if you look at these these
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tools, when what they really are
since you're, you know, you're
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CTO and you're working
Technologies, basically it's
282
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just a for loop.
It's all his doing really is
283
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taking like taking the
different.
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They can one input from and Ai
and then putting it back into
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00:18:26,800 --> 00:18:30,600
the the next putting the scene.
Bring to the another, another
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00:18:30,600 --> 00:18:34,600
time to the eye, they've been
executing that part.
287
00:18:34,600 --> 00:18:36,600
Even again again again, which
was all.
288
00:18:36,600 --> 00:18:39,100
Ooh, it basically, it's simple
words.
289
00:18:39,200 --> 00:18:44,500
It's basically taking one step
putting into the eye.
290
00:18:44,600 --> 00:18:47,900
It's a black box, get the
output, we're back into the
291
00:18:47,900 --> 00:18:50,500
integer thing.
And as you do that, you execute
292
00:18:50,500 --> 00:18:55,000
what the AIA just said?
I mean at is not rocket science
293
00:18:55,000 --> 00:18:58,000
of being honest with you, it is
what you expected to do.
294
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But there is A human
intervention die.
295
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This is the two things, two
elements to this one.
296
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It is fascinating to see that
world can do.
297
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Will you can act as independent
agent and just do things for us
298
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equals very scary as well while
the scary.
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00:19:16,300 --> 00:19:20,400
Well, if you just allow it to do
things on your behalf without
300
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you saying yes or no, I mean,
was just stopping for example.
301
00:19:25,100 --> 00:19:28,900
You say, well, make me a million
dollars and here's Jordan.
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Thousand dollar seed money, it
goes in, it takes money from
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your account, investor somewhere
else.
304
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The next step is like, with - or
else, what if it was all the
305
00:19:38,308 --> 00:19:40,400
cash for you?
You know, all this kind of
306
00:19:40,400 --> 00:19:42,400
things can happen.
I mean, this is a very
307
00:19:42,400 --> 00:19:46,600
simplistic scenario.
I'm going to say is that we are
308
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at the cusp of a very big change
it.
309
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As we allow this to be
autonomous and allow it to be
310
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open, these can change rapidly.
For us, we have to make sure
311
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that we have the AI safety.
We have some regulations and
312
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rules around this because, you
know, the impact could be
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massive, special.
Even when you are dealing with,
314
00:20:11,100 --> 00:20:15,200
you know, bigger changes or
bigger impact without human
315
00:20:15,200 --> 00:20:19,300
supervision involves in it.
So, I don't know.
316
00:20:19,300 --> 00:20:21,300
I mean, I have bitch things
feelings about it.
317
00:20:21,300 --> 00:20:25,700
I think we are in that next
step, where we are going to
318
00:20:25,800 --> 00:20:29,400
allow it to do different things
but you make sure that We are
319
00:20:29,400 --> 00:20:32,500
ready to read something.
Just not a monster for us in the
320
00:20:32,508 --> 00:20:37,300
future.
And this will bring me to ask
321
00:20:37,300 --> 00:20:42,200
you the next question because
people always wonder, are we
322
00:20:42,200 --> 00:20:49,700
going to lose our jobs?
And if this is the case, what
323
00:20:49,700 --> 00:20:54,600
skills should we acquire to be
ready for again?
324
00:20:54,800 --> 00:20:59,500
The next phase of the, the AI
era?
325
00:21:01,300 --> 00:21:06,400
Well, I mean the three actually
in this is like, I mean, 20
326
00:21:06,400 --> 00:21:10,000
years back he'd be ever.
Imagine that they will be
327
00:21:10,000 --> 00:21:14,100
dropped like social media
manager or digital marketing
328
00:21:14,100 --> 00:21:19,300
manager or digital marketing
agency or I don't pick up
329
00:21:19,300 --> 00:21:23,400
marketing or they will be a
billionaire YouTuber the back of
330
00:21:23,400 --> 00:21:25,900
great videos, like, like, mr.
Beast.
331
00:21:25,900 --> 00:21:28,600
I mean, we couldn't think of
that, right?
332
00:21:28,600 --> 00:21:32,100
Like that was just unheard of
And all these Technologies and
333
00:21:32,100 --> 00:21:36,800
all these changes are just
common the last in 20 years and
334
00:21:36,800 --> 00:21:41,200
here comes another technology.
Another phase of innovation.
335
00:21:41,500 --> 00:21:45,100
We shall springboard.
New Opportunities already.
336
00:21:45,100 --> 00:21:49,400
Can't you hear people talking
about prompt engineering as a as
337
00:21:49,400 --> 00:21:53,700
an option, as an opportunity?
But I don't know myself.
338
00:21:53,700 --> 00:21:56,700
And I don't think many people
really understand what it might
339
00:21:56,700 --> 00:22:00,200
create for us.
Will there be laws?
340
00:22:00,400 --> 00:22:03,900
So jobs in the current job
sector.
341
00:22:04,100 --> 00:22:08,000
The current job titles,
probably, but that doesn't mean
342
00:22:08,000 --> 00:22:11,400
that it won't be new jobs
created out of it and most
343
00:22:11,400 --> 00:22:14,800
likely to be discreet it out of
it will be far more than the
344
00:22:14,808 --> 00:22:19,400
ones we lose, for example.
So, it's time to think about
345
00:22:19,400 --> 00:22:22,400
this, as a way to elevate
ourselves, as opposed to
346
00:22:22,400 --> 00:22:27,000
thinking of it as a job Seeker,
it will be a job creator for us.
347
00:22:27,200 --> 00:22:30,700
It will be a net positive for
Russell, and I think, That's the
348
00:22:30,700 --> 00:22:32,900
mindset.
But I don't have the answer as
349
00:22:32,900 --> 00:22:36,600
to what it might create.
Because you know, we just tip of
350
00:22:36,600 --> 00:22:40,500
the iceberg.
I, as we cool father, who knows
351
00:22:40,900 --> 00:22:43,900
what comes next?
Yeah.
352
00:22:43,900 --> 00:22:47,700
Like of course no one can
predict the future and the
353
00:22:47,700 --> 00:22:51,000
present.
This is something for sure, but
354
00:22:51,600 --> 00:22:56,300
my opinion and I'm repeating and
I hope like whoever is watching
355
00:22:56,300 --> 00:23:00,700
or listening, they don't get
bored because I always repeat
356
00:23:00,700 --> 00:23:05,000
this it's not like something we
live the first time as you
357
00:23:05,000 --> 00:23:07,200
mentioned, like it's not the
first time we have a new
358
00:23:07,200 --> 00:23:11,000
technology that is disrupting.
The best thing to do now is to
359
00:23:11,000 --> 00:23:17,400
just try to learn How to use it.
I would say and try to think.
360
00:23:18,100 --> 00:23:20,300
And this were the thought
leadership that you talked about
361
00:23:20,300 --> 00:23:24,900
rats would come into the picture
by to see how you can utilize it
362
00:23:24,900 --> 00:23:28,300
to upscale yourself, or, you
know, do something useful.
363
00:23:28,700 --> 00:23:32,500
Now, I want to, you know, talk
about little bit, the digital
364
00:23:32,500 --> 00:23:36,800
content, right?
So, You've been doing this for a
365
00:23:36,808 --> 00:23:41,000
long time.
And how did you see the digital
366
00:23:41,000 --> 00:23:43,100
content?
Let's keep evolving over the
367
00:23:43,100 --> 00:23:46,400
years.
And what are we going to see in
368
00:23:46,400 --> 00:23:51,200
the near future?
Yeah, so bit of context of why I
369
00:23:51,200 --> 00:23:56,300
start looking at this show
digital media or content.
370
00:23:57,200 --> 00:24:02,800
It's because, as I mentioned,
I'm an engineer, but without
371
00:24:02,800 --> 00:24:10,200
studying University Research,
somebody used me to my space for
372
00:24:10,200 --> 00:24:13,900
people who don't want my space,
my speciality, the Facebook of
373
00:24:13,900 --> 00:24:19,700
the older folks like myself.
And when I left, Like, this is
374
00:24:19,700 --> 00:24:22,300
my space and like, oh, I could
do this myself.
375
00:24:22,300 --> 00:24:27,200
So, I program for three weeks or
so, 18 hours a day program to
376
00:24:27,200 --> 00:24:32,400
include on MySpace, but then I
had this beautiful code, but I
377
00:24:32,400 --> 00:24:34,200
couldn't sell it.
I could Market it.
378
00:24:34,300 --> 00:24:38,000
So, I've been to somebody in the
name, the government sort of
379
00:24:38,300 --> 00:24:42,000
bodies in the UK and they said,
well, you do some marketing.
380
00:24:42,000 --> 00:24:44,900
Uh, what's that using selling
was that?
381
00:24:44,900 --> 00:24:46,000
I don't know.
I'm an engineer.
382
00:24:46,300 --> 00:24:50,600
So I did a bit of a crash course
on At a crash caused MBA.
383
00:24:51,500 --> 00:24:54,200
And then I learned or marketing
and selling and I created in
384
00:24:54,200 --> 00:24:56,800
love with marketing.
And then I said that I've been
385
00:24:56,800 --> 00:25:01,200
this software social media
software for pro large clients
386
00:25:01,200 --> 00:25:03,700
and their customers to help them
increase your sales.
387
00:25:04,000 --> 00:25:06,400
And I did this, you know, this
is again again, in the last
388
00:25:06,400 --> 00:25:09,100
thing I did before I started
Goodman and in my current
389
00:25:09,100 --> 00:25:12,800
company is that I work for a
company and help them grow their
390
00:25:13,300 --> 00:25:17,800
hair revenue from Seven half
million, the 45 million in the
391
00:25:17,800 --> 00:25:19,800
back of great content.
Storytelling.
392
00:25:20,300 --> 00:25:23,400
I was like, this, is it in B2B
marketing.
393
00:25:23,400 --> 00:25:26,900
This is definitely it.
And, if it works for Telecom
394
00:25:26,900 --> 00:25:30,700
insurance, I'm sure to also
works for manufacturing and
395
00:25:30,700 --> 00:25:33,300
defends and Healthcare, and
biotech.
396
00:25:33,500 --> 00:25:36,000
And so, I thought, okay, well,
this is going to create to
397
00:25:36,500 --> 00:25:39,900
create content in about nine
years back and, you know, rest
398
00:25:39,900 --> 00:25:42,400
is history.
We've been growing here on here
399
00:25:42,800 --> 00:25:46,500
really, helping steal the ideas
and thought leadership, it was
400
00:25:46,500 --> 00:25:50,400
ability where CEO or a Clients
will content.
401
00:25:50,600 --> 00:25:56,300
I think this whole digital hero
media, and digital content.
402
00:25:56,300 --> 00:25:58,500
It mean, this is the prime wait,
to be discovered.
403
00:25:58,500 --> 00:26:01,100
Now, go on a days where you
should look at newspapers
404
00:26:01,300 --> 00:26:05,800
magazines or flying be like, you
know, about what's that or, you
405
00:26:05,808 --> 00:26:08,900
know, or have to call somebody
the phone to find them out, or
406
00:26:08,900 --> 00:26:09,600
cold?
Call them.
407
00:26:09,900 --> 00:26:13,700
There is a big influx of this
shoe, media everywhere.
408
00:26:14,400 --> 00:26:17,600
Especially, you know, how we
discover companies or products
409
00:26:17,600 --> 00:26:20,700
or Services, you know?
No Tick-Tock Hoops.
410
00:26:20,800 --> 00:26:23,800
Google's looping through search
engines.
411
00:26:23,800 --> 00:26:28,000
I mean it is fascinating.
And as you go further it's not
412
00:26:28,000 --> 00:26:30,300
going to change.
It will just accelerate quite a
413
00:26:30,300 --> 00:26:32,900
bit.
But one thing is going to stay
414
00:26:32,900 --> 00:26:36,300
stable and the same which is
taught leadership.
415
00:26:36,700 --> 00:26:38,600
Hawk.
Dealership is something, which
416
00:26:38,600 --> 00:26:41,600
is what makes the world go
round.
417
00:26:41,800 --> 00:26:44,800
Let me give you example.
Hundreds of years.
418
00:26:44,800 --> 00:26:50,800
Back Napoleon used to do, press
releases to talk about are his
419
00:26:50,800 --> 00:26:54,500
War campaigns and send the best
reasons to cassettes.
420
00:26:54,900 --> 00:26:57,400
We get more basically get more
funding for his walk.
421
00:26:57,400 --> 00:27:01,400
Our brains, you see all this
time has been content in one
422
00:27:01,400 --> 00:27:03,600
form or the other.
The one thing has remained
423
00:27:03,600 --> 00:27:09,600
constant across the board is
Provoking content which is what
424
00:27:09,600 --> 00:27:12,900
leadership content if there is
totally ship in the continent,
425
00:27:12,900 --> 00:27:16,700
there is some real value in the
content people who consume it
426
00:27:16,800 --> 00:27:20,000
Elle readers in multiple forms
in the back in the previous
427
00:27:20,000 --> 00:27:24,100
times you for newspapers and
gazette's now is Tick-Tock, you
428
00:27:24,100 --> 00:27:28,400
know Facebook social media
websites and the above.
429
00:27:28,400 --> 00:27:31,200
So what is good is going to
happen is going to change of
430
00:27:31,400 --> 00:27:33,300
medium.
The thought leadership is going
431
00:27:33,300 --> 00:27:37,100
to remain the same so I say
folks in top leadership, Give
432
00:27:37,100 --> 00:27:40,700
her the medium, we will come and
go, but you just be a thought
433
00:27:40,700 --> 00:27:42,700
leader in your space and people
will come to you.
434
00:27:45,300 --> 00:27:48,100
Great advice.
I would say Raj and this is
435
00:27:48,100 --> 00:27:50,300
something myself.
I figured it out.
436
00:27:50,300 --> 00:27:53,200
Also as well.
That yeah like what is what can
437
00:27:53,200 --> 00:27:57,300
I say is you you thought you you
what your contribution?
438
00:27:57,300 --> 00:28:01,300
So hundred percent.
Now like I want to ask you also
439
00:28:02,300 --> 00:28:07,400
given your you've worked like in
startups and large
440
00:28:07,400 --> 00:28:10,300
organizations.
How do you compare this
441
00:28:10,300 --> 00:28:14,000
experiences like what unique
challenges and opportunities to
442
00:28:14,500 --> 00:28:16,700
each?
Each environment resent you.
443
00:28:19,100 --> 00:28:22,800
Great question that I keep that.
I remembered what I would say
444
00:28:22,800 --> 00:28:28,000
is, I obviously enjoyed both the
sharp experience, as well as the
445
00:28:28,000 --> 00:28:30,600
corporate experience.
For me, what was really
446
00:28:30,600 --> 00:28:35,400
interesting with corporate shoes
that, you know, it's a great
447
00:28:35,500 --> 00:28:36,900
springboard.
It's a great learning
448
00:28:36,900 --> 00:28:40,400
opportunity.
You know, I recommend almost
449
00:28:40,400 --> 00:28:48,200
every new and new entrant to
kind of go into this there to
450
00:28:48,200 --> 00:28:51,600
find with.
Ecology of learning you
451
00:28:51,800 --> 00:28:58,000
corporates to working with
organizations but then maybe
452
00:28:58,000 --> 00:29:02,100
that's the whole for many but
equally the others who really
453
00:29:02,100 --> 00:29:07,100
enjoy being Innovative being
entrepreneurial and actually
454
00:29:07,100 --> 00:29:10,800
like I had the bug, I always had
that bug up doing my own thing.
455
00:29:11,300 --> 00:29:13,500
I love you, discovered later in
life.
456
00:29:13,500 --> 00:29:16,900
I never sold lemonade.
Lemonade stands as a child at
457
00:29:16,900 --> 00:29:18,600
school.
I must say, I didn't do that.
458
00:29:18,900 --> 00:29:22,400
But I wish I did though as he
ought to be good, but when I
459
00:29:22,400 --> 00:29:26,500
discovered the entrepreneurship
bug, she said I never be
460
00:29:26,500 --> 00:29:28,600
returned back.
I work for corporate symbol.
461
00:29:28,800 --> 00:29:32,700
Then I was it intrapreneur in
the corporate so they don't
462
00:29:32,700 --> 00:29:37,600
appear in the company itself.
I think for some people that the
463
00:29:37,600 --> 00:29:44,100
whole passion, the thrill, the
ups and downs are part of their
464
00:29:44,100 --> 00:29:46,400
lives.
And that's what that what makes
465
00:29:46,400 --> 00:29:49,900
them think that Definitely case
for me.
466
00:29:49,900 --> 00:29:56,500
So, for me in my circumstances,
I do enjoy the startup route, to
467
00:29:56,500 --> 00:30:00,400
run a company to grow a company
based off everybody, and I think
468
00:30:00,400 --> 00:30:02,800
it's to understand what is good
for us.
469
00:30:03,000 --> 00:30:07,600
It wouldn't match their
personality That's great inside
470
00:30:07,600 --> 00:30:11,800
and I agree with you.
Like someone should at least see
471
00:30:11,800 --> 00:30:14,100
how Corporate looks like before
they start.
472
00:30:14,500 --> 00:30:19,300
And it's good also, to, to see
how processes work, like, why
473
00:30:19,300 --> 00:30:23,000
sales is needed, why marketing
is needed, why business
474
00:30:23,000 --> 00:30:27,300
development is needed, and then,
you know, although it's not a
475
00:30:27,300 --> 00:30:31,300
rule as you said, because we
know there are a lot of even
476
00:30:31,400 --> 00:30:34,800
College dropouts who started
their businesses and they have
477
00:30:34,800 --> 00:30:37,600
never to be in.
In incall in corporate.
478
00:30:37,600 --> 00:30:40,800
Which is so as you said that
depend on the situation and the
479
00:30:40,800 --> 00:30:45,600
lot of things now, One thing,
you know, like because you've
480
00:30:45,600 --> 00:30:49,000
been also in the startup for a
long time and you had a lot of
481
00:30:49,008 --> 00:30:54,600
Adventures, what's your take on
the startup ecosystem today?
482
00:30:54,600 --> 00:31:02,000
All there, any I would say areas
that we can change it to the
483
00:31:02,000 --> 00:31:04,100
batter.
Is there anything that we need
484
00:31:04,100 --> 00:31:07,200
to drop off?
And I'm talking about here from
485
00:31:07,200 --> 00:31:10,000
the whole startup ecosystem
perspective.
486
00:31:10,000 --> 00:31:14,400
Whether it's like you know, the
way we Published the business
487
00:31:14,900 --> 00:31:18,800
funding, you know, like all the
aspect, can you think of
488
00:31:18,800 --> 00:31:21,200
anything that really needs some
Innovation today?
489
00:31:21,300 --> 00:31:26,500
When it comes to startups?
Well I think by definition
490
00:31:26,500 --> 00:31:30,500
startups are an organization
which are very agile.
491
00:31:31,300 --> 00:31:36,800
Seriously why startups are
already been there with all the
492
00:31:36,800 --> 00:31:40,600
funding which large corporate
job is because it can maneuver
493
00:31:40,600 --> 00:31:43,400
much faster.
In fact, I read somewhere that
494
00:31:43,800 --> 00:31:48,400
bio and biomedical in
Pharmaceuticals, for example, in
495
00:31:48,400 --> 00:31:52,800
big companies, read for startups
to do the all the orientation.
496
00:31:53,000 --> 00:31:56,000
And when they going to get FDA
approved or almost there.
497
00:31:56,200 --> 00:32:00,600
That's when they jump on
acquiring them as that's the way
498
00:32:00,600 --> 00:32:05,700
they go about their Innovation
go.
499
00:32:05,800 --> 00:32:08,300
I think startups are a
Innovation hop, in many ways,
500
00:32:08,300 --> 00:32:10,800
it's it is no doubt that there
are startups.
501
00:32:10,800 --> 00:32:15,800
We will probably be without any
taxi sharing like with like
502
00:32:15,800 --> 00:32:21,200
uber, we would be without any
Innovative vacation homes, like
503
00:32:21,300 --> 00:32:24,200
Airbnb and the examples like
that.
504
00:32:24,400 --> 00:32:29,600
In the b2c and B2B world.
I think it was a time when I
505
00:32:29,600 --> 00:32:32,900
first started working with
startups that funding was much
506
00:32:32,900 --> 00:32:35,100
harder today.
There's a lot of fun in the
507
00:32:35,100 --> 00:32:37,500
market.
Well, I'm saying that it's be
508
00:32:37,500 --> 00:32:42,200
dried up the recent months
because of, which the bit of a
509
00:32:43,500 --> 00:32:47,300
recession like scenario at the
moment of globally.
510
00:32:48,600 --> 00:32:53,000
But I think one thing, which I
shall thought UPS should be
511
00:32:53,000 --> 00:32:57,800
proud of and Should do more of
is being location-independent.
512
00:32:57,900 --> 00:33:00,700
I think a lot of times I'm still
seeing that because thought of
513
00:33:00,700 --> 00:33:04,700
strap this mindset and don't say
it's wrong, but it's
514
00:33:04,700 --> 00:33:06,700
interesting.
Is that, are you have to be
515
00:33:06,700 --> 00:33:10,900
based in Silicon Valley, to be
able to raise money, or you have
516
00:33:11,200 --> 00:33:15,100
to do, I feel like, well,
actually you can be based in
517
00:33:15,300 --> 00:33:18,300
like you reason to buy.
For example, you can be based
518
00:33:18,300 --> 00:33:24,700
in, you know, in turkey or in
China Hong Kong and still Be
519
00:33:24,700 --> 00:33:28,800
able to raise money at me.
The right people, I think they
520
00:33:28,800 --> 00:33:32,800
needs to be a better feedback
loop and again their
521
00:33:32,800 --> 00:33:35,700
organizations which can be
really powerful and part of this
522
00:33:35,700 --> 00:33:39,900
11 version called Geo Ultras
organization which is a great
523
00:33:39,900 --> 00:33:42,600
way to meet new people and can
be given a lot.
524
00:33:42,800 --> 00:33:45,700
Well, there is no space but it's
important to have that
525
00:33:45,700 --> 00:33:50,700
connection to balance of the
lack of connection face-to-face.
526
00:33:51,600 --> 00:33:54,200
So what I'll say is that, that's
my only.
527
00:33:54,300 --> 00:33:57,900
The thing that I think they will
be more displacement, it will be
528
00:33:57,900 --> 00:34:01,400
more are startups, memories
stability.
529
00:34:01,400 --> 00:34:05,400
I, for example, is not facing in
California, but based in London,
530
00:34:05,400 --> 00:34:08,800
for example, so you can see that
this is already a lot of
531
00:34:09,000 --> 00:34:12,400
innovation happening in AI, for
example, which sobbing outside
532
00:34:12,400 --> 00:34:18,100
the the valley, and there is a
lot of issues UK expecting the
533
00:34:18,100 --> 00:34:22,699
UK, because of this very liberal
mindset, and in Dubai as well,
534
00:34:22,699 --> 00:34:25,300
and Dubai has some really We
interesting corporate
535
00:34:25,300 --> 00:34:28,500
structures.
So I think time short time will
536
00:34:28,500 --> 00:34:32,000
change and I think we'll have
more additional Clause become
537
00:34:32,000 --> 00:34:36,199
hears.
You you like, how, how to say
538
00:34:36,199 --> 00:34:41,800
this, you get to the point that
I always talk about, why only we
539
00:34:41,800 --> 00:34:44,500
can have big tech companies in
the valley.
540
00:34:44,600 --> 00:34:47,699
Why, you know, like I always
wanted this and why we cannot
541
00:34:48,000 --> 00:34:52,300
the good thing is, it's yeah, we
started to see, but if you ask
542
00:34:52,300 --> 00:34:59,000
the founder, Not all of them.
Oh but one day a Silicon Valley,
543
00:34:59,400 --> 00:35:03,300
big Tech will buy me.
Okay, why you don't go and buy
544
00:35:03,300 --> 00:35:04,800
something in from Silicon
Valley?
545
00:35:04,900 --> 00:35:10,100
Like for me, like, I'm not the
guy who's started up many
546
00:35:10,100 --> 00:35:12,400
companies.
I mean, you entrepreneurs thing
547
00:35:12,400 --> 00:35:17,200
but, you know, my dream is I go
and buy a start-up from the
548
00:35:17,200 --> 00:35:19,700
Silicon Valley because yeah,
Silicon Valley has.
549
00:35:19,700 --> 00:35:23,500
It's like, I would say,
emotional, like this kind of,
550
00:35:24,100 --> 00:35:28,800
you know, like we all have this
memories about what we like, how
551
00:35:28,800 --> 00:35:31,300
Apple started how Microsoft
start over.
552
00:35:31,400 --> 00:35:34,900
Microsoft was in Seattle.
And anyway, when you talk about
553
00:35:34,900 --> 00:35:37,900
this, big text, like all they
started in the valley.
554
00:35:38,800 --> 00:35:42,400
Yeah, I wish that we one day, we
wish that stage.
555
00:35:42,400 --> 00:35:45,600
Why not?
From even like southeast Asia,
556
00:35:45,600 --> 00:35:49,000
maybe something from Africa,
actually, which is, I believe,
557
00:35:49,200 --> 00:35:53,600
they can come up with, with a
good Tech also that before we
558
00:35:53,600 --> 00:35:56,500
finish and this is something,
you know, not related, much to
559
00:35:56,500 --> 00:36:00,300
technology but it caught my eyes
Raj.
560
00:36:00,300 --> 00:36:06,300
So I know that in your company
you emphasize on, you know,
561
00:36:06,300 --> 00:36:13,100
having gender equality.
What did you see missing when it
562
00:36:13,100 --> 00:36:19,500
comes to diversity and inclusion
that, you know, became for you?
563
00:36:19,500 --> 00:36:22,900
A one of the pillars for your
current business.
564
00:36:26,200 --> 00:36:27,500
Thank you.
That was something that question
565
00:36:27,500 --> 00:36:28,700
our church.
Wait, wait.
566
00:36:28,700 --> 00:36:33,300
Dear to my heart diversity
inclusion and let me explain why
567
00:36:33,300 --> 00:36:36,600
that's the case.
So when I was studying at
568
00:36:37,000 --> 00:36:42,300
school, I obviously had like, I
would say 50/50 Sciences women
569
00:36:42,300 --> 00:36:46,700
and men as a going to University
here or that drops to like
570
00:36:46,700 --> 00:36:53,700
almost 1 in 150 of our women.
And then I go to the workspace
571
00:36:54,000 --> 00:36:58,100
and corporations he just hardly.
Women in technology and I have a
572
00:36:58,100 --> 00:37:01,700
daughter who was two years old
and I don't want her to come up
573
00:37:01,700 --> 00:37:05,300
in a on a society where women
are not given the opportunity to
574
00:37:05,300 --> 00:37:10,300
to to be equal in every stance.
Every space, every sphere and
575
00:37:10,400 --> 00:37:12,800
I've taken on myself to change
that.
576
00:37:13,100 --> 00:37:16,800
So what's so that that couldn't
be Landin company?
577
00:37:16,800 --> 00:37:22,400
I found it and now it's nine
years old, we encourage and
578
00:37:22,400 --> 00:37:24,700
Empower women in technology and
marketing.
579
00:37:25,800 --> 00:37:30,900
That 80% plus our women in the
organization and you know we
580
00:37:30,900 --> 00:37:36,000
work in the high-tech sector.
Now I want to almost challenge
581
00:37:36,300 --> 00:37:38,000
section.
Say yes, we can.
582
00:37:38,300 --> 00:37:40,900
It's going to make an impact and
this one just talk about it.
583
00:37:41,200 --> 00:37:44,200
This makes an action to make it
happen so much so that as I
584
00:37:44,208 --> 00:37:50,000
mentioned, 80% plus our women in
good Dimension and walk clients
585
00:37:50,000 --> 00:37:54,200
tell us from talking to them is
that because we have the team
586
00:37:54,200 --> 00:37:58,200
members, they Take great care of
them throughout the journey,
587
00:37:58,200 --> 00:38:01,900
working with us.
Also, the content reproduce is
588
00:38:01,900 --> 00:38:05,400
more more neutral and more
balanced as well.
589
00:38:05,700 --> 00:38:11,000
I think there's a lot of
advantage or actually empowering
590
00:38:11,500 --> 00:38:17,200
marginalized communities or or
gender, for example, and make a
591
00:38:17,200 --> 00:38:22,100
change because, you know, it's
easy to kind of follow the trend
592
00:38:22,400 --> 00:38:24,500
with a buck.
The trend is rare, you're pretty
593
00:38:24,500 --> 00:38:28,300
a lie.
So I think women are a secret
594
00:38:28,300 --> 00:38:32,800
secret Force to to code in the
future of businesses, with only
595
00:38:32,800 --> 00:38:35,500
care about his grow, your bottom
line, I'd pop by.
596
00:38:35,500 --> 00:38:38,400
And I think work with more than
many, especially in technology
597
00:38:38,400 --> 00:38:41,700
and marketing, it will change
the business completely and I
598
00:38:41,700 --> 00:38:45,600
know I that change is seen in my
business and I think people who
599
00:38:45,600 --> 00:38:48,500
carry following that document
for us, but you guys just a
600
00:38:48,500 --> 00:38:53,900
cheek swab, That's something
that also I personally believe.
601
00:38:53,900 --> 00:38:56,600
And, you know, it's like about
not only what from gender
602
00:38:56,600 --> 00:39:01,300
perspective, diversity inclusion
is something very important for
603
00:39:01,300 --> 00:39:06,600
any, whether you are a start-up
or established business, this is
604
00:39:06,600 --> 00:39:11,800
something that it's a must have.
But, you know, usually when I
605
00:39:11,800 --> 00:39:17,000
see, you know, like how women
they can participate in Tech, I
606
00:39:17,000 --> 00:39:19,900
see them very successful
actually because I Believe I
607
00:39:19,908 --> 00:39:22,900
read somewhere that they can be
more organized than man.
608
00:39:23,500 --> 00:39:26,500
You know, and they, you know,
they can structured in a better
609
00:39:26,500 --> 00:39:30,600
way.
So anyone really it's a very I
610
00:39:30,600 --> 00:39:35,100
would say a good from you decide
that you have dedicated this in
611
00:39:35,100 --> 00:39:37,700
your company Raj as we come to
an end.
612
00:39:37,700 --> 00:39:40,600
I have a now.
Traditional question, I asked
613
00:39:40,600 --> 00:39:44,000
them to my guests.
What is the question that you
614
00:39:44,000 --> 00:39:47,500
wished?
I asked you I think you've been
615
00:39:47,500 --> 00:39:51,800
very thorough their method
interview asking questions.
616
00:39:51,800 --> 00:39:57,800
I think, if I was to say what we
want Chris to ask, I think I
617
00:39:57,800 --> 00:40:08,100
would probably ask the question,
where do I see Goodman, London
618
00:40:08,300 --> 00:40:10,100
company going in the future?
I think that's something.
619
00:40:10,100 --> 00:40:13,000
I keep getting asked all the
time because it's content
620
00:40:13,200 --> 00:40:16,800
marketing agency.
And we are in the rain, Sink us
621
00:40:16,800 --> 00:40:21,400
Paul VI Innovation.
The only answer the question as
622
00:40:21,400 --> 00:40:24,800
well or just regular course you
can answer of course, of course,
623
00:40:24,800 --> 00:40:27,200
the idea is that you, you
answered the question.
624
00:40:27,200 --> 00:40:36,300
Of course, showed I would say
that I think there is a very
625
00:40:36,400 --> 00:40:40,600
exciting opportunity for
technology meeting human beings.
626
00:40:40,700 --> 00:40:46,700
I think I think we should be
complimenting each other.
627
00:40:47,700 --> 00:40:52,300
He I and you even human beings
as opposed to eating fish.
628
00:40:52,300 --> 00:40:55,100
As a threat only if not used
properly.
629
00:40:55,100 --> 00:40:57,600
Yes, it can be a threat but it's
also an opportunity.
630
00:40:58,000 --> 00:41:01,600
I think going forward going to
London is going to be a
631
00:41:01,800 --> 00:41:06,000
important player in the a I'm
each human especially in the
632
00:41:06,000 --> 00:41:07,900
content space.
I think this is going to be very
633
00:41:07,900 --> 00:41:12,800
exciting PS4 for us and I'm
actually actually can't wait for
634
00:41:12,800 --> 00:41:15,600
this to, you know, to actually
make that happen.
635
00:41:15,900 --> 00:41:19,100
So I also say thank you members
for the opportunity to speak
636
00:41:19,100 --> 00:41:22,700
with you and all the insights
you've allowed me to speak in
637
00:41:22,708 --> 00:41:24,200
order to learn from you as well
member.
638
00:41:24,500 --> 00:41:26,100
But oh, thank you so much for
talking to me.
639
00:41:27,000 --> 00:41:33,200
Just just, I like the way you
ended when you said, like,
640
00:41:33,200 --> 00:41:38,600
things are exciting.
I'm always an optimistic guy and
641
00:41:38,900 --> 00:41:43,000
I'm repeating this again.
And again, AR is Technology,
642
00:41:43,000 --> 00:41:46,700
that we can leverage.
Yes, it can be used in a, I mean
643
00:41:47,000 --> 00:41:50,000
negative way, but something
like, this is our pledge to many
644
00:41:50,000 --> 00:41:52,100
things as well.
And we are repeating maybe
645
00:41:52,100 --> 00:41:54,900
ourselves.
Like when the internet came up,
646
00:41:54,900 --> 00:41:58,000
people start to say they can be
used in a bad way.
647
00:41:58,200 --> 00:42:01,100
Same thing happened to the
smartphone say, I mean you
648
00:42:01,100 --> 00:42:05,400
technology of course it falls in
the hands of that people if they
649
00:42:05,400 --> 00:42:08,100
can do something bad with it.
But let's see how we can
650
00:42:08,100 --> 00:42:11,900
leverage this technology to
create a better world and you
651
00:42:11,900 --> 00:42:15,100
know, Have a better future
rather I really enjoyed you know
652
00:42:15,100 --> 00:42:18,800
the inside that you gave and the
experience that you have, thank
653
00:42:18,800 --> 00:42:23,300
you very much for being a guest
with me today and as usual at
654
00:42:23,300 --> 00:42:27,000
this, to the audience, if you
have any feedback or questions
655
00:42:27,000 --> 00:42:29,900
about this episode or the show
in general, please don't
656
00:42:29,900 --> 00:42:33,600
hesitate to reach out to me.
You can send me an email, reach
657
00:42:33,600 --> 00:42:35,400
out to be by LinkedIn or
Twitter.
658
00:42:35,700 --> 00:42:37,100
If you are interested to be a
guest.
659
00:42:37,100 --> 00:42:40,200
Same as rush today, you can also
let me know.
660
00:42:40,200 --> 00:42:43,500
We can discuss that and we will.
Arrange for this.
661
00:42:43,800 --> 00:42:48,500
If you are a first-time viewer
or listener, don't forget to
662
00:42:48,500 --> 00:42:50,300
subscribe.
If you are watching this on
663
00:42:50,300 --> 00:42:53,400
YouTube or if you are listening
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664
00:42:53,400 --> 00:42:57,900
platform and also please tell
your friends colleagues and
665
00:42:57,900 --> 00:43:00,900
family about the show.
We are trying to make it as much
666
00:43:00,900 --> 00:43:06,300
informative as possible and as
usual thank you very much and we
667
00:43:06,300 --> 00:43:08,000
will meet in next episode.
Thank you.