#78 The Future of Work: Digital Transformation, AI, and Current Tech Trends with Dan Goodstein

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Hello, and welcome to a new
episode of the CTO show with.

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Matt Matt my name is Matt Matt
and I share daily news about

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latest trends in Tech and
Entrepreneurship.

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I discussed topics like digital
transformation emerging

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technology cyber security, and
startups and Entrepreneurship.

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In general, as, you know,
sometimes I host also thought

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leaders, innovators and
entrepreneurs, Ears to hear from

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their expertise about wide range
of Industries and how they are

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driving change and making an
impact in the world of tech and

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business.
And today I am very pleased to

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have with me Dan good time.
Dan, thank you for joining me

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today.
Can you just introduce yourself

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and what you do?
Yeah.

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My pleasure.
Thanks for having me.

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So I run to professional
associations, focused on the

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Automation and AI space as well
as The broader kind of digital

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Enterprise transformation space.
We have over a hundred and

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thirty thousand members
worldwide all coming to us for

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Education, networking advice and
coaching around these topics.

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And so I'm fortunate the sense
that I get to spend half my day

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speaking to clients about what
they're working on and what

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their challenges are, and the
other half of my day, speaking

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to the vendor and provider
Community about their

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capabilities.
So it's It's been fun,

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especially the last last couple
of years with all the

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technological advances
happening.

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Whoa, this is like a spot on
because the first thing I wanted

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to ask you like what do you see
as the most significant current

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Tech Trends and how they are
impacting both, you know, the

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customers or consumers and you
know that the providers at the

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same time?
Yeah, I mean you don't have to

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go too far in the news to see
all the the talk around chat GPT

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and generative AI.
So that's that's definitely The

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hot thing right now you know AI
is not new as most of the folks

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you know watch you know.
It's definitely a accelerated in

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recent years but you know in
recent months with this this new

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access that the generative AI is
providing and I think you know

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what's different is for you know
for a while it became a I was

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this kind of nebulous thing that
required five years and five

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billion dollars of our D.
If a company wanted To, you

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know, really implemented and
then you had sort of, you know,

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kind of Point solution or you
know, very narrow AI solutions

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that that are part of our daily
lives.

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Some people realize it.
Some people don't even realize

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it's under the hood of some of
the technologies that they use

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but what's different.
Now is that this this chechi PT

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and now barred and some of the
others that are coming out, it's

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really democratizing AI to a
point where your any individual

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can access it.
Play with it and start seeing

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the benefits instead of it being
this.

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This black box a I think that
it's been for many years.

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Yeah, I think I am calling it
like similar to what the

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internet was, right?
That was like the DARPA net

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before and it was just like for
universities and for like

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security and Defence and then
all of a sudden, you know, it

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became public and everyone you
know, with just a phone line was

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able to get to the Internet.
So this is exactly, you know,

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that you use the right.
I would say expression for that.

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Now, with all these talks,
About, you know, specially AI

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generative AI.
I just heard a I just shared a

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an episode and I was just
mentioning about you know,

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what's the future like?
And I'm reading a lot of mixed

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you know comments from different
people.

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You see the people who are
pessimistic.

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You see the people who are very
optimistic.

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So what do you think?
You know, these Trends including

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generatively.
I are shaping the future of four

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and you know what do you think
we're going to see in the coming

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years?
Yeah.

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Yeah I think I think we're at
the point where we're going to

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start seeing LeapFrog type of
events, right?

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Where, you know, organizations
may have been investing in

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technology incrementally and
didn't get really, you know, to

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hurt or fall too far behind if
they weren't innovating but I

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think you have kind of The
Perfect Storm of a couple things

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right now.
Right.

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And the first is this, you know,
post pandemic era of people that

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you know don't don't necessarily
want to be in an Office that,

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you know, more selective about
the jobs that they take are more

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looking for the better term.
We used to use was work-life

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balance, but that's actually
really happening now.

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And then you enter something
like this, this AI aspect where

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it really changes the way jobs
are being done.

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And so, you know, I think that
for the organizations that have

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not innovated, you know, their
time is limited, if they Start

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really really quickly because
now it's just going to go

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exponentially.
The gaps are going to are going

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to increase exponentially and
you know from a job standpoint

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you know my the the quote that I
saw you know, maybe a month ago

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which I which I really liked.
I thought some that up pretty

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well is that, you know, AI is
not going to take your job.

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Someone who knows how to
implement AI is going to take

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your job.
The reality is AI is going to

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take your job but not probably
our Job.

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Not my job, your job today.
Probably our kids jobs.

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And that's, and that, you know,
as this thing becomes, you know,

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more and more accelerated, it
will get to that point but we're

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just, we're just not at that
point, yet.

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We still need people to
implement it.

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And so the advice I give people
who are kind of freaking out

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right now is, you know, which
was always my advice, but it's

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even more important.
Now is, you know, learn these

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Technologies, learn how to be
useful, you learn how to

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increase the Of your service or
your you know, your individual

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skill set, using these tools
because that's going to become a

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differentiator.
Yeah 100%.

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I'm just when I repeat, I'm
repeating myself because I

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thought I shared this, the guy's
a I will not come and kill you,

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right?
Like it's just a large language

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model and you are the trigger
for it, so don't be scared of

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it.
And in my opinion that I also I

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shared yesterday and I'm sharing
all the time online.

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And then, on other social media,
I'm saying that maybe this is a

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moment where we are redefining
actually the definition of a

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job, right?
Because maybe you, you don't

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have to work like five days a
week and the pandemic, you know,

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like came into the place and
showed us many things, speaking

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of the pandemic and all the
changes and how organizations

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should, you know, keep
innovating, one of the areas

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that I know Daniel.
You also work on its digital The

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transformation like it is like
kind of a buzzword, but it's not

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a buzzword.
So can you explain what it means

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in real practical terms?
And I know like this is a

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repetitive question but I like
to hit different opinions.

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Yeah.
And why do you think it's

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important for businesses?
Now, in this moment to undergo

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into this digital transformation
Yeah, I think for me, you know,

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there's a, there's a big
difference that people kind of

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glazed over between digitization
and digital transformation.

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It's the transformation part
that people kind of, kind of

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forget, right?
And so, you know, to me digital

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transformation is is changing
the way the organization

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operates for the digital age,
not just digitizing a bunch of

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analog or paper stuff and doing
the same process, the It was

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before the business models have
been changing for a long time.

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You know, I remember being at
the first event that we ever did

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that we use the words digital
transformation and I remember a

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banking executive coming up to
me afterwards and asking, you

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know, about, you know, some of
the stuff at the event and I

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said, what did you think?
And he said, you know, this is

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all nice and dandy but I've got
a job to do today.

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I can't worry about tomorrow or
that's pre-pandemic and things

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right now.
You fast forward.

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The companies that are Changing
the way they do things are

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dying, right?
I mean I mean the the pandemic

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kind of accelerated the
inevitable and you know the AI

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now I think is going to even do
even do more towards that.

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I mean you look around you see
some of the traditional you

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know, box stores and things.
They're either going out of

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business or being sold for
pennies on the dollar because

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they just relied on an in-person
model people coming into stores.

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People doing things, the The way
that they used to do things.

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And so, you know, even some of
the more Innovative companies

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struggled with, you know, the
remote Workforce thing and and

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and and and interacting with
clients in a virtual world.

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Right?
And so you know, it's a matter

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of, you know, Survivor don't
survive.

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I think it's that that drastic
and as I alluded to before for

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the organizations that that
haven't started yet, maybe this

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AI stuff is a is an opportunity
to kind of catch.

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CH back up.
Yeah, but your customers are not

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buying the way they used to be.
Used to Brand loyalty is at an

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all-time low people.
Want convenience, people want

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experience.
People are not going to put up

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with the rules and bureaucracy
that they did in 2019.

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And so if you're not set up to
deal with that or even thrive in

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that environment, you're going
to lose.

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Yeah, but sometimes I heard from
different people.

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Yeah, we want to go to this
journey, right?

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But we are facing some
obstacles.

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Like, what are the obstacles?
Usually, from your side, you are

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hearing or challenges that
companies.

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They are, you know, facing
during this transformation

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journey.
And what's your advice to

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overcome these obstacles?
Yeah, my advice is to stop being

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delusional.
Some of these organizations live

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in this, this, this, this, this
world where they have blinders

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on, and they think that things
are always going to be the same

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and not change.
And for a while it was, hey,

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things are going to change now,
it's everything's changing

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around you, you know, I think
it's not a technology challenge.

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It's a, it's a change management
challenge.

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It's a culture challenge.
It's a challenge in the way that

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many of the the Legacy Centric
organizations were built.

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The reason why you know the born
digital companies are succeeding

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is not just because of Tech in
the data it's because they can

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move faster.
It's because they understand

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that the business model isn't
what it used to be and they

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don't have as big a ship to turn
the traditional companies have

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to figure out how to turn that
ship because the old models

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aren't going to work.
And so I think I think a lot of

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it is, you know, at a sea level,
having the direction to say

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we're not going to do things,
the way that we used to do

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things, we have to To move
faster we have to be less

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bureaucratic and and also
something I've talked a lot

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about is I think the incentives
need to change, right?

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People in large corporations are
incented to be conservative

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because their fear, they fear
losing their job if they make a

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mistake, right?
But there's no incentive for or

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D sensitive for doing keeping
the status quo.

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So I think that Paradigm needs
to shift, I think organizations

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need to start in sending people
to To take risks and innovate

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like you've seen a little bit of
the fail, fast culture of the

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tech space, you know, and send
people to actually change things

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and he sent them from, you know,
just keeping the thing.

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You keep the status quo that
ultimately will lead to the

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demise of the the organization.
Yeah, I think to, you know, add

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to what you said.
Dad, I believe organizations the

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number one thing, they need to
change the culture and this

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culture.
I'm calling it, bring the

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startup culture during the
garage culture to your to your

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organization like otherwise.
Like if you keep as you said

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following these bureaucratic
processes, it's not a

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transformation.
It's a maybe digitization at the

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most and you will not get any
benefit out of it, now, back to,

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to little bit of AI and because
this a help topic, what are the

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most exciting or promising
applications of AI you are

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seeing in the Surprised and how
you are seeing, you know, the

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future in this area.
Yeah, you know, you know, on the

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generative AI stuff, you know,
people very excited because it's

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the first time they've seen a
lot of these capabilities

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directly.
I'm not, I'm not quite as

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excited because I've seen some
of these things, you know over

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the last couple years.
But what I am excited about is

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the next iteration you know
right now you know you put your

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information and you know you
prompts into these things and

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they're giving you kind of
general information scrape from

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the web right from their
training data.

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Too.
But imagine that the next

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iteration of that within your
organization where they

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understand, who you are, they
understand, what your, what your

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job is they understood they have
access to your, your databases

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and and can learn.
And so, you know, this idea of a

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digital AI assistant or digital
twin or just, you know, we used

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to say in the automation, you
know, a bot for every employee

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that can be very, very powerful.
And also, So allow people, you

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know, take away the fear, a
little bit of this is going to

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take my job and make it more of
an enablement thing where it

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actually makes your job better
and makes you more productive at

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your job.
Makes you actually want to go to

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work every day because you know,
the Bots and the Automation and

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the AI is doing a lot of the
grunt work for you and you can

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do kind of deeper work thinking
kind of work real real knowledge

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work instead of the the the
monotonous kind of stuff.

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So, so that's exciting.
I think we're at the point where

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you're going Start seeing, you
know, digital Twins and relay.

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I assistance not the, you know,
the promise that the, the Alexa

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devices and things, you know,
we're going to be so that's one.

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The other is, there's some
really interesting things around

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forecasting AI based
forecasting, demand planning.

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And so, you know, I think the,
the analysis side of AI which

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hasn't been talked about as much
because, you know, there's a lot

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of news around self-driving cars
and image recognition.

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Sharon and we cover a lot in
document capture and some of

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those kind of traditional back
office, finance-related use

256
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cases.
But this is really interesting,

257
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you know, new opportunities to
in the analysis side of things

258
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around supply chain and the
medical field.

259
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So that's that's that's
exciting.

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And then you know they'll third
I would mention is again a lot

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of the automation AI at least
that we cover on our network is

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been really focused on
Operations, but there's some

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really Innovative things
happening and you see it in chat

264
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GPT in customer-facing.
Customer experience, Centric AI.

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Where again this Paradigm of
people led customer experience

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is going to change.
The reason it hasn't changed to

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too much is because people tend
to hate chat Bots that are based

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on, you know, decision trees and
they're not really that smart

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and you end up wasting a lot of
time and then happen to speak to

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a person.
Anywhere, you wish wasted a half

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an hour chatting with this.
Saying.

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But as these things become
really actually intelligent and

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actually can execute
transactions and things the

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customer experience changes as
well.

275
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Yeah.
And I think one, if you allow me

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to add one company, who's
leading the way with what they

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showed us, as Microsoft with the
copilot approach they brought

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and I just watched in the
morning, you know, what they are

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doing with cybersecurity and
they talked about that the next

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iteration.
Even as you said it's like the

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language model that could
somehow.

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I'm not sure how they're going
to do it, but they're going to

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be able to read your own data
without leaving your your

284
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premises, right.
And then build on that, you

285
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know, all the features that you
can see today with Chad GPT.

286
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So I think this is very, very
interesting.

287
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So I like also The Branding
co-pilot.

288
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I think Microsoft they did good
job in in The Branding part and

289
00:16:52,700 --> 00:16:54,500
letting people not be afraid
actually.

290
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Oh, I like I'm a co-pilot with
you.

291
00:16:56,700 --> 00:17:00,200
I'm not just pushing you out, so
I think it's good.

292
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But what do you think are like
from out?

293
00:17:03,300 --> 00:17:08,500
Say we know that, you know, this
models can be biased like where

294
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do you see you know, the other
risks and implementing a i at

295
00:17:13,700 --> 00:17:16,300
corporate world outside?
Yeah.

296
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I mean the thing is that, you
know they're there.

297
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What are the challenges is?
That black box thing I mentioned

298
00:17:22,400 --> 00:17:24,400
before, right?
So there's this scenarios.

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Where, you know, and I think
Microsoft was one of the

300
00:17:27,000 --> 00:17:30,600
examples where there was a tech
writer, who, you know, got into

301
00:17:30,600 --> 00:17:35,600
a very odd conversation with the
with the, with the chat Bots and

302
00:17:36,100 --> 00:17:39,100
and Microsoft could even explain
why it happened, right?

303
00:17:39,100 --> 00:17:43,300
And so you have things like that
where you know, there could be

304
00:17:43,300 --> 00:17:46,400
security issues that could be
cybersecurity issues.

305
00:17:47,000 --> 00:17:51,500
There could be as you mentioned
bias issues, you know, at least

306
00:17:51,500 --> 00:17:53,400
right now and the reason why I'm
excited about what you know

307
00:17:53,400 --> 00:17:56,000
things like what you're talking
about Where we take that

308
00:17:56,000 --> 00:17:59,600
application, but we put it
within our own, you know, data,

309
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and and lives is that, you know,
the current scenario and this

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kind of Google's doing this, AI
powered, search and beings doing

311
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this, is that it's still pulling
data from the internet, right?

312
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So, you know, at least right
now, hopefully a somewhat

313
00:18:16,800 --> 00:18:20,300
educated person looks at their
Google search results and says

314
00:18:20,600 --> 00:18:23,300
that's a credible Source.
That's not a credible Source,

315
00:18:23,300 --> 00:18:25,300
right?
That's Kind of the issue with

316
00:18:25,300 --> 00:18:29,600
social media right is that
people tend to, you know,

317
00:18:29,800 --> 00:18:34,900
promote and and and things tend
to go viral that are not

318
00:18:34,900 --> 00:18:37,800
necessarily true because people
aren't doing the work of going

319
00:18:37,800 --> 00:18:41,500
back to the source that'll gets
worse with aii, right?

320
00:18:41,500 --> 00:18:44,400
If you start trusting your, at
your chatbot, whatever, the

321
00:18:44,400 --> 00:18:47,600
interface is to give you the
right answer to a question

322
00:18:47,600 --> 00:18:50,700
without knowing its it's where
it's sourced.

323
00:18:50,700 --> 00:18:53,500
The information that can get
dangerous, very quickly, I

324
00:18:53,500 --> 00:18:57,000
noticed on the Bings, The Bing
version, they actually give you

325
00:18:57,000 --> 00:19:00,600
their sources on the bottom,
which is kind of interesting.

326
00:19:00,600 --> 00:19:04,800
I know chechi PT is not doing
that but you know it gets to a

327
00:19:04,800 --> 00:19:07,300
point where you do.
We get to a point in society

328
00:19:07,300 --> 00:19:12,300
where we just trust the answer
and don't actually try to figure

329
00:19:12,300 --> 00:19:16,200
out where it came from and then
you have you have the business

330
00:19:16,200 --> 00:19:19,300
model thing actually have my
podcast later today as well.

331
00:19:19,300 --> 00:19:21,700
And, you know, we're talking
about regulation, we're talking

332
00:19:21,700 --> 00:19:27,500
about the regulation of tech and
Ai and I'm typically very much a

333
00:19:27,600 --> 00:19:32,100
let Tech btech kind of guy but I
am kind of concerned about the

334
00:19:32,400 --> 00:19:36,400
lack of Regulation you know, in
the space because you know the

335
00:19:36,400 --> 00:19:38,900
motive is just like in the
social media world and the tech

336
00:19:38,900 --> 00:19:42,300
world as a whole you know the
motives have been advertising

337
00:19:42,300 --> 00:19:45,700
driven and so and and
subscription-based subscription

338
00:19:45,700 --> 00:19:47,600
driven.
So if there's no checks and

339
00:19:47,600 --> 00:19:50,800
balances there, you know, what
incentive do these companies?

340
00:19:50,800 --> 00:19:54,500
Have to give you the right
answer versus giving you the

341
00:19:54,700 --> 00:19:57,200
That's most profitable for them.
Yeah.

342
00:19:58,100 --> 00:20:01,400
Then you mentioned something
about forecasting and sales and

343
00:20:01,400 --> 00:20:04,200
I have also like I work in sales
for quite some time.

344
00:20:04,200 --> 00:20:07,300
So how do you see?
You know, you know, the role of

345
00:20:07,300 --> 00:20:12,400
Marketing sales changing in the
context of all, this new

346
00:20:12,400 --> 00:20:17,000
technology is like generative Ai
and you know with whatever you

347
00:20:17,000 --> 00:20:20,400
want to attach to it from other
digital Technologies.

348
00:20:21,000 --> 00:20:25,500
Yeah you know your marketing and
sales is Probably the most

349
00:20:25,500 --> 00:20:29,100
immediately affected by at least
of the current generative, a

350
00:20:29,100 --> 00:20:32,800
ichat CPT and things.
You know I was talking about it

351
00:20:32,800 --> 00:20:35,400
for a while and then I started
playing with it myself.

352
00:20:35,400 --> 00:20:38,800
I had a I had to write a
promotion for a new coaching

353
00:20:38,800 --> 00:20:40,400
service.
We're offering automation

354
00:20:40,400 --> 00:20:44,300
coaching service that were that
we're launching and I kept

355
00:20:44,300 --> 00:20:47,100
putting it off because I was
busy and I didn't have that time

356
00:20:47,100 --> 00:20:51,000
to really get into a creative
Zone and write this, this the

357
00:20:51,000 --> 00:20:53,800
sales promotion and then I said,
hey, what am I doing?

358
00:20:53,800 --> 00:20:57,500
I gotta I gotta Practice what I
preach here and try this thing

359
00:20:57,500 --> 00:20:59,800
out.
And in 35 seconds, I had three

360
00:20:59,800 --> 00:21:05,300
promos for LinkedIn posts at had
to do maybe 10 minutes of

361
00:21:05,300 --> 00:21:09,200
editing, and I was ready to go.
And so that, that, you know, on

362
00:21:09,200 --> 00:21:12,900
its own is siloed, right?
I did that, you know, separately

363
00:21:12,900 --> 00:21:15,900
from my work environment, and
then copy and paste it in and

364
00:21:15,900 --> 00:21:19,000
put it into all my platforms.
But, you know, it's not too

365
00:21:19,000 --> 00:21:20,600
far-fetched.
And you see a lot of these

366
00:21:20,600 --> 00:21:23,700
Integrations already happening,
where I won't even have to leave

367
00:21:23,700 --> 00:21:26,300
my No officer.
I won't have to leave my email

368
00:21:26,300 --> 00:21:29,500
platform.
Some of the, we do a lot of

369
00:21:29,500 --> 00:21:32,600
sales and marketing Outreach for
people that are targeting you

370
00:21:32,600 --> 00:21:36,100
Automation, and Ai and digital
transformation Centric

371
00:21:36,100 --> 00:21:38,800
companies.
And we're actually looking at

372
00:21:38,800 --> 00:21:42,300
some some, some technology now
that automates the entire sales

373
00:21:42,300 --> 00:21:46,800
process from finding the lead
reaching out to the lead

374
00:21:46,800 --> 00:21:51,500
multiple channels, email,
LinkedIn text messages.

375
00:21:52,200 --> 00:21:55,000
I mean, it basically does
obviously gets the We're books

376
00:21:55,000 --> 00:21:59,300
the call for you.
So it's taking over a lot of the

377
00:21:59,300 --> 00:22:03,400
sales process and, and actually,
writing emails that are better

378
00:22:03,400 --> 00:22:06,800
than most people.
Yeah, I tried this features by

379
00:22:06,800 --> 00:22:11,300
the way, like, writing emails
and it's pretty much good.

380
00:22:11,300 --> 00:22:14,700
I would say.
So what I have done is just for

381
00:22:14,700 --> 00:22:17,300
the sake of playing, I don't
know if I can release it or not.

382
00:22:17,300 --> 00:22:21,600
So, I just used some no coat
tools, I integrated with open

383
00:22:21,600 --> 00:22:23,400
a.i.
And then, you know, like I have

384
00:22:23,400 --> 00:22:24,700
like ready.
Oops.

385
00:22:24,700 --> 00:22:27,900
Now so, for example, I say, I
need a sales promotion or

386
00:22:27,900 --> 00:22:33,500
campaign targeting banking
industry and I want one, two,

387
00:22:33,500 --> 00:22:36,000
three.
And then, you know, like it just

388
00:22:36,000 --> 00:22:38,500
give me the wrong.
I tried couple of times the

389
00:22:38,500 --> 00:22:41,800
email.
It's mind-blowing and sometimes,

390
00:22:41,800 --> 00:22:45,800
you know, chat GPT because it
has the knowledge up to 20 21.

391
00:22:45,800 --> 00:22:50,000
If I'm not mistaken and anything
that up-to-date to dive into

392
00:22:50,000 --> 00:22:54,800
that cut off, it's very good,
it's very good.

393
00:22:54,800 --> 00:22:58,000
That's and that's and that's and
that's that's based on it now,

394
00:22:58,000 --> 00:23:00,700
right?
I imagine a scenario where it

395
00:23:00,700 --> 00:23:03,500
has all the history of every
email you've ever sent.

396
00:23:03,600 --> 00:23:05,000
Yeah.
And what your database looks

397
00:23:05,000 --> 00:23:07,900
like and what your target
audience looks like and then can

398
00:23:07,900 --> 00:23:09,800
search the web for the top
Google search.

399
00:23:10,000 --> 00:23:14,300
Arms and expose all that data
together to create a truly

400
00:23:14,400 --> 00:23:17,700
customized, you know, Outreach
and, you know in the world of

401
00:23:17,700 --> 00:23:19,800
marketing and sales.
The big thing for a while has

402
00:23:19,800 --> 00:23:23,100
been kind of this this idea of
mass personalization, right?

403
00:23:23,100 --> 00:23:27,300
Of being able to personalize and
Outreach and say, here's what I

404
00:23:27,308 --> 00:23:29,300
think.
You should care about what I

405
00:23:29,308 --> 00:23:32,300
think you care about based on
your your LinkedIn profile or

406
00:23:32,300 --> 00:23:36,000
what I know about you.
This thing does that on

407
00:23:36,000 --> 00:23:39,700
steroids.
Thanks, I'm just like him too.

408
00:23:39,900 --> 00:23:43,900
My mind, maybe the next SD
auteur bdr would be a I am not

409
00:23:43,900 --> 00:23:46,800
sure like it's just food for
thought.

410
00:23:47,400 --> 00:23:51,700
Yeah, we have we have a, you
know, a team of sdrs and be DRS

411
00:23:51,700 --> 00:23:55,200
that do Outreach for, you know,
B to B Tech clients.

412
00:23:55,200 --> 00:24:01,800
And you know, it's always been a
challenge because you know most

413
00:24:01,800 --> 00:24:05,300
people that do sales sdrs btr's
or just sales in general, the

414
00:24:05,500 --> 00:24:08,700
misconception is that they're
good at say all of sales, right?

415
00:24:08,700 --> 00:24:12,400
The reality is sales Is is
prospecting its lead generation,

416
00:24:12,400 --> 00:24:15,300
it's its meaning.
If you doing meetings, it's

417
00:24:15,300 --> 00:24:19,400
qualifying, it's doing demos.
And then it's, you know,

418
00:24:19,400 --> 00:24:21,700
nurturing and negotiating and
closing.

419
00:24:21,900 --> 00:24:24,500
That's not the same skillset
it's very unlikely that one

420
00:24:24,500 --> 00:24:25,800
person is going to be able to do
that.

421
00:24:25,800 --> 00:24:29,600
So so sdrs that are actually
really good at talking and

422
00:24:29,600 --> 00:24:33,700
booking meetings are typically
not as good at writing emails or

423
00:24:33,700 --> 00:24:37,100
at least automating emails and
doing things systematically and

424
00:24:37,300 --> 00:24:40,700
putting information in a CRM.
So You know, we're actually

425
00:24:40,700 --> 00:24:43,900
working on, you know, a solution
where, you know, the SDR is and

426
00:24:43,900 --> 00:24:45,400
the bdr.
They don't do have to do any of

427
00:24:45,400 --> 00:24:47,900
that, they just do what they're
good at and the rest of the

428
00:24:47,900 --> 00:24:51,400
process is done for them.
And so they spend, again, a good

429
00:24:51,400 --> 00:24:55,000
example of, they spend their
time doing what they're good at,

430
00:24:55,400 --> 00:24:58,700
and what they, like doing
instead of the other 80% of junk

431
00:24:58,700 --> 00:25:03,100
that they have to do now, that
would be great to see, I would

432
00:25:03,100 --> 00:25:08,200
say, like, focusing on, as you
said building the, you know,

433
00:25:08,200 --> 00:25:11,500
relationship with the customer,
We know like talking to them.

434
00:25:12,700 --> 00:25:17,100
I see this is more beneficial.
Just I have still two questions

435
00:25:17,100 --> 00:25:21,600
for you than that other than a I
like you mentioned digital

436
00:25:21,600 --> 00:25:24,900
twins.
So how do you see for example,

437
00:25:25,000 --> 00:25:27,800
maybe a merge between.
Also this Technologies with

438
00:25:27,800 --> 00:25:30,800
something like blockchain iot,
you know, black.

439
00:25:30,900 --> 00:25:33,700
Can you see something like
happening in that space?

440
00:25:34,100 --> 00:25:40,600
In addition to the AI in the
Enterprise area, Yeah, I mean,

441
00:25:40,600 --> 00:25:44,100
it's finally, at a point where,
you know, we used to have this

442
00:25:44,100 --> 00:25:47,200
term years ago, digital
convergence, and it was, it was

443
00:25:47,200 --> 00:25:51,300
kind of like this, this fantasy
futuristic term, but I really

444
00:25:51,300 --> 00:25:53,400
think it's going to happen in
the next couple years now that

445
00:25:53,400 --> 00:25:57,600
you have stuff like generative
Ai and some of the other pieces

446
00:25:57,600 --> 00:26:00,300
in place around, you know,
everything's cloud-based in the

447
00:26:00,300 --> 00:26:03,700
compute power, and, and those
sorts of things and now you

448
00:26:03,700 --> 00:26:05,400
have, you know, like you say the
blockchain.

449
00:26:05,400 --> 00:26:08,400
I mean, there's a lot of
scrutiny and criticism right now

450
00:26:08,400 --> 00:26:12,700
about crypto, Lefties and the
metaverse and things like that,

451
00:26:12,700 --> 00:26:17,100
but the reality is that, you
know, people are living more and

452
00:26:17,100 --> 00:26:20,800
more of their lives in a
virtual, you know,

453
00:26:20,800 --> 00:26:22,700
internet-based World.
Whatever you want to call,

454
00:26:22,700 --> 00:26:25,500
whether you call it the
metaverse or, you know, the, you

455
00:26:25,500 --> 00:26:29,600
know, the kids these days
already have a term to, to not

456
00:26:29,700 --> 00:26:33,400
to not reference the metaverse,
or the virtual world but to

457
00:26:33,400 --> 00:26:37,500
reverence the real world they
say IRL in real life to denote

458
00:26:37,500 --> 00:26:39,700
the fact that it's happening in
the physical world.

459
00:26:39,800 --> 00:26:42,700
Old and not in the in the in the
virtual world.

460
00:26:43,400 --> 00:26:46,400
So that Paradigm has already
shifted from Anna from a

461
00:26:46,408 --> 00:26:52,400
generational standpoint and so
you know the idea of all these

462
00:26:52,400 --> 00:26:55,700
Technologies working together to
create, you know, again this

463
00:26:55,700 --> 00:26:59,400
this assisting order digital
twin that can be your copilot or

464
00:26:59,400 --> 00:27:02,800
even execute things on your
behalf is not that far-fetched,

465
00:27:02,800 --> 00:27:04,600
you add things like blockchain
to it.

466
00:27:04,600 --> 00:27:09,700
Where, you know, you you get
away from the the middlemen of

467
00:27:09,900 --> 00:27:13,100
Ever, it is Banks or other
institutions.

468
00:27:13,900 --> 00:27:17,700
And you know this thing has
access to, you know, your wallet

469
00:27:17,700 --> 00:27:22,600
and your preferences and your
accounts and even learns what

470
00:27:22,600 --> 00:27:25,100
your you know, what you, what
you would do in certain

471
00:27:25,100 --> 00:27:27,500
situations.
And you get to a point where,

472
00:27:27,800 --> 00:27:31,900
you know, maybe we're all not
just, you know, you know, living

473
00:27:31,900 --> 00:27:35,800
to work or working to live.
But, you know, we just get to

474
00:27:35,800 --> 00:27:39,700
get to the point where we just,
you know, we put these things on

475
00:27:39,900 --> 00:27:43,500
I love the autopilot thing or
autopilot, you know, vernacular

476
00:27:43,500 --> 00:27:46,200
because that's really where I
think it goes.

477
00:27:46,600 --> 00:27:49,500
Yeah.
Finally question for you than

478
00:27:49,500 --> 00:27:54,900
like, you know, final advice you
can give to Enterprises as you

479
00:27:54,908 --> 00:27:59,700
know, different sizes says and
where they can find more about

480
00:27:59,700 --> 00:28:02,700
like your business, your
Institute and your podcast?

481
00:28:03,600 --> 00:28:08,800
Yeah, my advice is if you if
you've already started changing

482
00:28:08,800 --> 00:28:12,600
your business model, And
transforming, you know,

483
00:28:12,600 --> 00:28:16,100
accelerate it and if you haven't
get going because you're behind,

484
00:28:16,100 --> 00:28:19,900
right?
So, you know, I know there's I

485
00:28:19,900 --> 00:28:25,700
know it's hard, but it's not a,
it's not optional at this point,

486
00:28:26,200 --> 00:28:29,700
you know, if you and I the other
thing I would say is, you know,

487
00:28:29,700 --> 00:28:32,900
be customer Centric and there's
so many people that I speak to

488
00:28:32,900 --> 00:28:36,200
that, you know, get caught up in
their policies and their rules.

489
00:28:36,200 --> 00:28:38,600
And the way things are done
today or they way, they things

490
00:28:38,600 --> 00:28:41,100
were done yesterday.
Or the limitations of the

491
00:28:41,100 --> 00:28:44,300
technology stack that they're
using the customer doesn't care

492
00:28:44,300 --> 00:28:46,900
about any of that.
At the end of the day, the

493
00:28:46,900 --> 00:28:49,800
customer will leave you in a
second.

494
00:28:50,100 --> 00:28:53,100
Even if you're a big brand now,
we're learning right, except

495
00:28:53,100 --> 00:28:55,900
except in the banking space
where people were going to small

496
00:28:55,900 --> 00:28:57,300
Banks.
And now they're going back to

497
00:28:57,300 --> 00:29:00,100
Big Banks because they don't
trust the small Banks as much

498
00:29:00,100 --> 00:29:02,200
now.
But other than that space

499
00:29:02,200 --> 00:29:05,800
people, people are moving on to
lesser known Brands who give

500
00:29:05,800 --> 00:29:09,000
them a better experience versus
the big Brands.

501
00:29:09,000 --> 00:29:12,900
So, You got to do it, do the
change management, do the work,

502
00:29:12,900 --> 00:29:14,700
and then, and then find people
that can kind of help you

503
00:29:14,708 --> 00:29:17,800
through the process, find people
that, you know, have done it,

504
00:29:17,800 --> 00:29:21,100
you know, what's great about,
you know, you know, our

505
00:29:21,100 --> 00:29:23,600
organization just based on
feedback from Members is that

506
00:29:23,600 --> 00:29:27,400
there's always somebody who's,
you know, further along than you

507
00:29:27,400 --> 00:29:29,400
would have been, you know, been
through some of these things.

508
00:29:29,400 --> 00:29:31,800
And then, as always, people kind
of behind you that are looking

509
00:29:31,800 --> 00:29:34,600
to learn.
And so, we've tried to kind of

510
00:29:34,600 --> 00:29:37,500
create this ecosystem where, you
know, people can get advice.

511
00:29:37,500 --> 00:29:41,700
Not only from, you know,
Top-notch, subject matter

512
00:29:41,700 --> 00:29:45,300
experts and, and coaches, and
advisors, but from each other

513
00:29:45,500 --> 00:29:48,700
and learn from, you know, others
who have actually done these

514
00:29:48,700 --> 00:29:51,100
things actually had these
problems.

515
00:29:51,100 --> 00:29:53,900
What obstacles, they hit what
their, what their issues that

516
00:29:53,900 --> 00:29:55,200
they had.
A hump said, they had to

517
00:29:55,200 --> 00:29:58,400
overcome were and so, yeah, I
mean we're available.

518
00:29:58,700 --> 00:30:02,400
Like I said, to, we have two
organizations are PA.

519
00:30:02,400 --> 00:30:07,200
I.com is the association for
robotic process automation,

520
00:30:07,200 --> 00:30:11,000
software, automation, AI.
Then for kind of all other

521
00:30:11,000 --> 00:30:14,900
things, digital transformation
related, its digital Enterprise

522
00:30:14,900 --> 00:30:18,900
Institute.com, membership is
free, and you'll start getting

523
00:30:19,200 --> 00:30:22,600
all of our content and best
practices and things, good.

524
00:30:23,400 --> 00:30:27,600
I would be sharing these things
in the episode description.

525
00:30:28,300 --> 00:30:30,900
Well done, thank you very much
for your time today.

526
00:30:30,900 --> 00:30:34,400
I really enjoyed, you know, the
discussion with you and I hope

527
00:30:34,400 --> 00:30:38,500
the same for my audience.
Thank you very much for your

528
00:30:38,500 --> 00:30:42,800
time and By this, we would and
today's episode.

529
00:30:43,000 --> 00:30:45,600
Thank you for tuning in as
usual.

530
00:30:45,900 --> 00:30:49,500
If you have any comment, if you
have any questions regarding

531
00:30:49,500 --> 00:30:52,300
this episode or the show in
general, you can reach out to me

532
00:30:52,300 --> 00:30:56,200
either by email or you can find
me on Twitter or Link at the

533
00:30:56,200 --> 00:30:59,600
end.
And as I say every time don't

534
00:30:59,600 --> 00:31:03,100
forget to subscribe either to
the YouTube channel or to the

535
00:31:03,100 --> 00:31:06,700
podcast which is available any
podcasting platform of your

536
00:31:06,700 --> 00:31:10,000
preference and until we meet in
the next episode, thank You very

537
00:31:10,000 --> 00:31:12,000
much.
Thank you.