#169 Mastering Digital Transformation: A Conversation with Professor Michael Lenox

Listen in as I engage in a riveting discussion with Michael Lenox, a professor at the University of Virginia's Darden School of Business. We unravel the key themes from his latest book, Strategy in the Digital Age: Mastering Digital Transformation. This conversation is packed with insights from Michael's extensive research and teaching experience, as we explore how digital transformation is reshaping competitive landscapes. We further break down key concepts like environmental trends, industry life cycles, and the importance of evolving core capabilities to stay competitive.
In the second part of our chat, we tackle how businesses can embrace technological advancements and remain agile. We touch on various digital business models, the advantages of entrepreneurs in the digital age, and the Digital Transformation Stack. We then address the pressing issue of navigating digital transformation challenges, stressing the importance of buy-in from the C-suite, the role of digital champions, and the ethical implications of data collection. This episode is a must-listen for business leaders, strategists, and anyone interested in understanding the profound impact of digital transformation on today's business environment. So, tune in for an enlightening conversation with Michael Lenox.
Find out more about Michael and his recent book here:
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From the heart of Dubai, where
tomorrow is being built today,
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to the world.
Welcome to the CTO Show with
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Mimet.
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With MIMET delve into the
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Experience the thrilling highs
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Now, without further ado, let's
TuneIn and explore the future.
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Hello and welcome back to a new
episode of the CTO show with
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Mehmet and today I'm very
pleased to have with me.
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Michael Linux, who's just
joining me live from the USA.
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Michael is a professor at the
University of Virginia's Darden
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School of Business.
Michael, I prefer all the time
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that my guests introduce
themselves, so I will.
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Give that to you.
Well, thank you.
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And I really appreciate the
opportunity to be on here.
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As you said, I'm a professor at
the University of Virginia's
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Darden School of Business.
And I have a new book that is
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out called Strategy in the
Digital Age, Mastering Digital
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Transformation.
And large part this is based on
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my research and teaching over
the past actually a few decades.
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But I've been teaching an
elective of the same name over
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the last 5-6 years and decided
to turn it into a book.
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And so the idea is to be
hopefully a hopeful, helpful
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reference for business leaders
who are pursuing digital
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transformation.
Yeah, that's great, Michael.
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Actually the topic as we were
discussing before we we start
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the recording, it's a topic
which close to my heart because
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I worked as a consultant as
well.
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Now the question I want to ask
you why you felt that you need
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to write a book about strategy
in digital age and what you felt
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the information was needed now?
Yeah, I I I think the, you know
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the.
Major kind of point if you will
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of the book is, is right in the
title and and what I have
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observed is when it comes to
digital transformation, there's
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a lot of efforts around what I
would call kind of building out
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your digital infrastructure, you
know, maybe using cloud
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computing, maybe setting up a
data lake, getting your data in
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order and and all of those
things are critically important
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as you pursue a digital
transformation.
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But it's absolutely critical
that you understand that a lot
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of these digital technologies.
Are in that many cases
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fundamentally transforming the
way the competitive environment
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is playing out in different
industry segments.
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It's changing the way that you
create value for your customers,
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change the nature of the way you
engage your customers.
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It's creating opportunities for
what we call a deconstructing
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the value chain where you know
new digital natives are coming
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in and picking off maybe various
pieces of what you've done
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historically.
Think about what's happening
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financial services with the
Fintech movement if you will.
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You're seeing, you know the rise
of things like platforms that
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are are really can be
transformational in many
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different industries.
So the main point of the book is
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to kind of take that step back
and think more broadly about how
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are these kind of suite of
digital technologies impacting
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competition and then providing a
set of frameworks and guidance
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to think about how you might
position your company in these
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evolving competitive markets.
Yeah, that's great.
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And who you can tell us are the
target audience for the book,
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Michael.
Yeah.
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You know, as a business
strategist, there's a tendency
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sometimes to think of strategy
as only the suite of the domain
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of the C-Suite.
I think that's clearly a target
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for this book.
But I'd like to think everyone
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should be at least a strategic
thinker in the organizations.
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So my hope is this book is
useful not only again to Ctos
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and CEOs, but.
Many within an organization who
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might find themselves either
engaging in a digital
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transformation or simply
engaging in some of the strategy
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work of the organization.
Yeah, that's great.
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And I think as you said, anyone
can be you know an audience for
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anything related to to digital
transformation.
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I agree with you on that.
Now when we think digital
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transformation, right, so always
we read about that we need to
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have.
Concepts and Frameworks.
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So what are some of the key
concepts and frameworks that you
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have covered in the book?
Yeah, The book is structured
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actually that each chapter ends
with a series of frameworks or
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worksheets to help you work
through your thinking.
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Some of them are really just
based on kind of classic
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strategy tools, you know,
environmental trends, what's
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happening in your competitive
environment, who are not only
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your current set of competitors,
but more importantly, who are
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potential competitors.
Who might leverage digital to
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move into your to your segment
and then what are your core
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capabilities that you possess?
I think one of the messages,
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this is the first worksheet
alone, but one of the core
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messages is understanding that
in an evolving competitive
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environment, especially where
the market opportunities may be
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shifting away from where they
historically been, you need to
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both evolve your capabilities.
But recognize that it would be
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very difficult to just forego
everything that you've done in
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the past.
So I like to say I run into a
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lot of businesses that say
things like we wanna be the
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Google of X.
And my first reaction is often,
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well, Google's gonna be the
Google of X.
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They're actually far better
positioned than you to achieve
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that position.
So reflect a little more on kind
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of what do you uniquely bring to
this evolving competitive
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environment and then how might
that best position you for
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success moving forward.
So as you go through the book,
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we talk a lot about industry
life cycles, understanding where
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we are in the evolution of
different technologies, thinking
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about your company's part of the
life cycle, are you a mature
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business?
Are you a declining business?
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Are you a still a new growth
enterprise?
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All of those should have an
impact on ultimately where
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you're trying to position your
company or organization.
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Yeah, that's great.
Now one thing you have repeated
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couple of Times Now, Michael.
You talked about competition, so
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how, like does the
transformation profoundly
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impacting the nature of
competition?
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Can you explain that?
Yeah.
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And I think we've got so many
historical examples here, but
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I'll go with one.
But I actually start the book a
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classic one, which is the story
of Kodak.
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Kodak at some level is the
easiest digital transformation
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or disruption story to tell.
They make film, the world goes
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to digital imaging and they go
bankrupt.
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But the fact is that Kodak
actually was aware of digital
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energy and all the way back in
the 1970s had some of the first
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patents and millions and
millions in R&D, had one of the
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first digital cameras on the
market and yet still wasn't able
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to make the transition.
And I think one of the things
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that was a failure for them, it
was difficult for them is they
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couldn't get out of the idea
that the way we consume images
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is to ultimately print them out.
So we might use a digital camera
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to take images, but we're still
going to print them all out at
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the end of the day.
And that change in value
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proposition, especially with the
rise of social media, just
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fundamentally changing the way
we consume cameras and imaging,
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you know, upset the whole
industry, but clearly had this
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huge impact on Kodak.
Take an example that I think we
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might see here in the future,
maybe near future autonomous
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vehicles, questions of when
we'll see full Level 5 autonomy,
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but when we do?
Then it is very likely that
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we'll stop consuming automobiles
in the way we currently do,
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which is like we go out and
purchase our own car.
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It might very well move to a
full ride sharing model where we
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consume car services that as you
can imagine, it's just a radical
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change in the way autos will be
manufactured, distributed,
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consumed, that that doesn't bode
well for those, you know,
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established players unless
they're able to evolve what they
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do.
Yeah.
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Unfortunately, I would say just
as a comment here Michael is I
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relate this to psychology a
little bit and a goal sometime
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at people because although now
we are in 2023, we still see
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people who are like stubborn on
accepting the change and they
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don't see it coming.
So I hope that this would be
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like an eye opener for business
leaders to to really embrace,
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you know, the the
transformation.
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Now the highlight on some of you
said there, because that's
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something I really discussed
especially in more the second
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part of the book where I really
talk about some of the
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management leadership
challenges.
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You use the word ego.
And so one of the things that I
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emphasize Barn from my
colleagues at Hess is this idea
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that humility is the new smart.
When you're aiming to these
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rapidly evolving and changing
worlds, it's really important to
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recognize that you don't know
everything and the technology is
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evolving so quickly.
It's it's actually hard to
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predict where it might end up.
And so building into your
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organization what you know we
sometimes call like a learning
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mentality or learning viewpoint
where you constantly have to be
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testing and testing your
assumptions and maybe pivoting
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the organization I think it
could be absolutely is critical
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now and will continue to be
critical moving forward.
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I mean think about generative AI
you know 12 months ago.
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It was out there and there was
people who were interested, but
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with the release of ChatGPT 3.5,
an explosion of interest and
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that has both kind of upside and
downside implications, right?
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Because not only are those
scrambling to kind of catch up
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to now this new interesting
technology.
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What?
Dare I say, I think there's
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probably the overhype, the
overreaction happening as well,
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and not maybe fully
understanding how long it's
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gonna take, the ways in which
this technology is gonna have
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impact.
And again, going into these
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worlds with some humility and
understanding you're gonna have
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to learn, is gonna be just
absolutely critical.
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Yeah, 100%.
And I'll always give the example
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of Microsoft.
Between, you know, when Steve
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Ballmer was there and then when
Satya joined and how they were
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able to transform the company.
Now you mentioned AI and of
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course like I believe there are
like other technologies that are
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out there.
So what role do emerging
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technologies such AI, blockchain
and cyber security play in
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digital transformation and how
are these technologies, you
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know, changing the way we do
business as well?
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No, absolutely.
I mean I think you know at the
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heart of it and one things to
talk about in the book is, is
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really data, right.
We've entered into a world,
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others have said you know data
is the new oil right.
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It is incredibly valuable.
It allows us to do these higher
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level data and analytics that
manifest themselves in a number
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of different ways.
So A I is of course you know one
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important application of how we
might use data to improve
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offerings generative A I is
particular class of that.
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Autonomy and any number of
different domains.
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As another kind of related a set
of technologies.
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You mentioned blockchain, We can
talk more about crypto.
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I'm a crypto skeptic, but I'm
actually positive on blockchain
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itself.
I think it's an interesting
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underlying technology.
We are on the same same.
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Right, Yeah.
Well, we'll find some
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application here and you know
who knows what's what's next
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coming down the pipeline and I
think they'll still continue to
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be interesting things you know a
year ago we're.
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About the Metaverse though, it
seems like the the interest in
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the Metaverse has already
started to to die down, but
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we'll we'll see, we'll see how
that one evolves as well.
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I always like to point out that
we've had this exponential
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growth in three core
technologies, processing power,
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so famous Moore's law doubling
processing power roughly every
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18 months or so, bandwidth and
then storage capacity.
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So I think of cloud storage and
the like each of those have had
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this incredible.
Exponential growth over many
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decades at this point.
And if we continue those trends,
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even for another, let's say, 5
or 10 years, the world will be
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radically different than it is
today, and in ways that are hard
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for us to predict.
I think that's why there's so
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much hand wringing right now
with a I we've seen how much
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it's improved even from chat GB
T 3.5 to 4.
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And you know it's going to be
improving by leaps and bounds
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likely.
And so it's hard for us to
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really fully grasp and again.
I'm not claiming to be a
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futurist that can tell you where
technology's gonna be.
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What I'm trying to emphasize is
you have to build in that
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nimbleness as an organization to
deal with this fast evolving set
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of technologies.
That's a great point actually.
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00:13:01,180 --> 00:13:07,300
Michael, how do you think
smaller businesses will have
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better agility in adopting these
technologies more than the
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enterprise?
Yeah, I talked quite a bit in
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the book about this classic
battle, if you will, between the
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entrepreneur and the
established, you know, incumbent
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companies and history is
littered with, you know, even
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very successful incumbent
companies who fail in the face
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of disruption.
So that that's a common finding
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and observation.
And also it is the new
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entrepreneurial companies that
kind of arise in in, you know,
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or wake as as new technologies
evolve.
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But one of the reasons I think
it's true that we see this
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pattern.
Is the advantage of
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entrepreneurs are not only that
they're more nimble but there's
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just more numbers of them,
right.
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So we remember the successes, we
remember that Facebook's where
250
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we tend to forget the the My
spaces and literally hundreds of
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other companies that were trying
to make a go of it in social
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media.
So in some ways the power of
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entrepreneurs is is just simply
numbers and we know the vast
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majority of them are going to
fail but all it takes is one of
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them to kind of hit on that
special value proposition that
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resonates with the market.
To grow and and succeed there.
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And so you know at the end of
the day, I think I think of
258
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markets as kind of a system and
you have this coevolution of the
259
00:14:20,340 --> 00:14:22,500
established firms and the
entrepreneurial firms.
260
00:14:22,500 --> 00:14:25,940
There's markets for acquisition
as ways to kind of bring in some
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of that entrepreneurial
interest.
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Sometimes they grow and take
over, you know the the old
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incumbents as well.
And so it is an interesting kind
264
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of evolution of the competitive
environment and a lot of these
265
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markets when new technologies
come.
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Yeah.
Now like because I had the
267
00:14:42,930 --> 00:14:47,410
chance and thank you for sharing
with me the preview of the book.
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Now can you walk us with
different digital business
269
00:14:51,570 --> 00:14:54,050
models that you mentioned in the
book, because I think this is
270
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something interesting.
Yeah.
271
00:14:55,970 --> 00:14:59,850
I think what we've seen is that
digital is aligned for a
272
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proliferation of different
business models.
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00:15:01,530 --> 00:15:03,570
So probably the one that's
probably first and foremost in a
274
00:15:03,570 --> 00:15:07,450
lot of people's minds would be
the advertising models used by
275
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the likes of Google and
Facebook.
276
00:15:10,080 --> 00:15:14,120
Or Alphabet and Meta.
These days, advertising is a new
277
00:15:14,120 --> 00:15:16,440
business model that's been
around for centuries.
278
00:15:16,440 --> 00:15:21,480
But this ability to leverage
data and analytics to create
279
00:15:21,520 --> 00:15:26,440
customized advertising to the
individual user is proven very
280
00:15:26,440 --> 00:15:31,880
powerful and created these again
alternative ways of delivering
281
00:15:31,880 --> 00:15:34,600
and capturing value.
So you think about Google.
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00:15:34,960 --> 00:15:37,680
Google gives most of their
products away for free.
283
00:15:38,270 --> 00:15:42,950
Things like Gmail, things like
Android and open system, what
284
00:15:42,950 --> 00:15:46,310
they're doing is monetizing the
selling of advertising.
285
00:15:46,390 --> 00:15:48,710
The joke is we actually are
customers of Google.
286
00:15:48,710 --> 00:15:51,510
We're the product of Google.
It's the advertisers who are the
287
00:15:51,510 --> 00:15:55,950
customers.
You see platform plays where
288
00:15:55,950 --> 00:15:59,670
what the platform is doing is
taking just a little bit of a
289
00:15:59,670 --> 00:16:02,550
transaction that occurs on it.
This is everything from your
290
00:16:02,550 --> 00:16:05,950
Ubers and Airbnbs which are what
we call 2 sided market makers.
291
00:16:06,400 --> 00:16:09,480
So think about what Apple does
with their App Store or what
292
00:16:09,480 --> 00:16:11,600
Amazon does with Amazon
Marketplace.
293
00:16:11,960 --> 00:16:15,640
All of those are about creating
these platforms for exchange and
294
00:16:15,640 --> 00:16:19,360
then taking a little bit of each
transaction that takes place
295
00:16:19,360 --> 00:16:23,520
there.
So the old classic selling a
296
00:16:23,520 --> 00:16:26,880
product or service model, they
still exist, but things like
297
00:16:26,880 --> 00:16:31,000
software as a service,
advertising models, again,
298
00:16:31,000 --> 00:16:33,720
platform models.
And they're all proliferating
299
00:16:33,720 --> 00:16:38,040
this digital age and again can
be quite disruptive to the old
300
00:16:38,040 --> 00:16:41,640
way of of doing business.
I'll go back again to autonomous
301
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vehicles probably if we move
that direction, maybe it will
302
00:16:45,440 --> 00:16:48,960
be, you know, paying a fee for
an individual ride or maybe
303
00:16:48,960 --> 00:16:51,680
it'll be subscription models
where I signed on to a service
304
00:16:52,080 --> 00:16:55,080
and I get a certain number of,
you know, rides I can take per
305
00:16:55,080 --> 00:16:57,240
week.
Again, very different than
306
00:16:57,560 --> 00:17:00,440
putting down a lot of money to
buy an automobile that we, you
307
00:17:00,480 --> 00:17:03,470
know, currently do.
Yeah, it's like very interesting
308
00:17:03,470 --> 00:17:07,829
I would say.
Now this is a, it's a deep topic
309
00:17:07,829 --> 00:17:12,869
and I know it might need hours
to explain, but the only high
310
00:17:12,869 --> 00:17:18,109
level how can organizations
using your book right insights
311
00:17:18,109 --> 00:17:22,230
and strategies plan and execute
a successful digital
312
00:17:22,230 --> 00:17:26,480
transformation because it's a.
A big topic I know, but only
313
00:17:26,480 --> 00:17:28,520
very high level.
Well, high level, I would
314
00:17:28,520 --> 00:17:31,760
highlight something I call the
digital transformation stack.
315
00:17:31,920 --> 00:17:34,960
And so I suggest there's kind of
four levels to that stack.
316
00:17:35,400 --> 00:17:37,440
The base level is your digital
infrastructure.
317
00:17:37,440 --> 00:17:41,000
Again, again, how do you
organize, collect and exchange
318
00:17:41,000 --> 00:17:44,520
data, cloud services, data links
and the like?
319
00:17:45,360 --> 00:17:47,760
The next level is what I would
call data and analytics.
320
00:17:47,760 --> 00:17:50,800
What are the skills and tools
that you can layer on top of
321
00:17:50,800 --> 00:17:54,680
this data collection effort?
This is everything from AI, but
322
00:17:54,680 --> 00:17:57,640
even basic things like creating
dashboards and the like to help
323
00:17:57,720 --> 00:18:00,680
decision makers.
Beyond that we have what I would
324
00:18:00,680 --> 00:18:03,520
call digital applications.
So this is where things get
325
00:18:03,520 --> 00:18:04,960
real.
This is where you create.
326
00:18:05,710 --> 00:18:08,910
Various offerings that maybe are
external, you know, ways in
327
00:18:08,910 --> 00:18:11,470
which you engage your customers
or they can be even internal,
328
00:18:11,470 --> 00:18:14,310
maybe how you organize HR and
your organization looking for
329
00:18:14,310 --> 00:18:17,990
efficiencies and the like.
But the top layer of the stack,
330
00:18:17,990 --> 00:18:20,590
maybe not surprisingly that I
think is most important is what
331
00:18:20,590 --> 00:18:22,190
I would call your digital
strategy.
332
00:18:22,590 --> 00:18:25,670
So my standard line about this
is if you think about digital
333
00:18:25,670 --> 00:18:28,950
transformation just from that
bottom of the stack, it could be
334
00:18:28,950 --> 00:18:31,550
like trying to create
efficiencies in the engines in
335
00:18:31,550 --> 00:18:33,950
the Titanic.
You might be able to improve
336
00:18:33,950 --> 00:18:36,510
them, but you're simply still
going to hit the iceberg.
337
00:18:36,510 --> 00:18:38,110
Maybe you'll hit it a little
quicker than you did.
338
00:18:38,670 --> 00:18:42,630
You know, first case.
So strategy becomes absolutely
339
00:18:42,630 --> 00:18:45,230
critical because you need to
understand where you're steering
340
00:18:45,230 --> 00:18:48,550
the ship, and that should guide
your digital transformation
341
00:18:48,550 --> 00:18:51,190
efforts.
I've seen way too many companies
342
00:18:51,470 --> 00:18:54,510
who have spent literally
millions and millions of dollars
343
00:18:54,510 --> 00:18:57,870
developing digital applications
that were meaningless.
344
00:18:57,870 --> 00:18:59,910
We're not useful at the end of
the day.
345
00:19:00,570 --> 00:19:03,490
Understanding just because we
have the technology or you can
346
00:19:03,490 --> 00:19:07,650
create that dashboard or even
use that, you know, generative
347
00:19:07,690 --> 00:19:11,850
AI isn't necessarily going to be
helpful if you don't know where
348
00:19:11,850 --> 00:19:14,570
you're trying to go as a company
and where you're trying to
349
00:19:14,570 --> 00:19:17,650
position yourself.
I think one of the misnomers
350
00:19:17,650 --> 00:19:21,490
about strategies that I try to
dissuade people of is I think
351
00:19:21,490 --> 00:19:23,970
there's a, you know, a
philosophy or thinking that
352
00:19:23,970 --> 00:19:25,610
strategy is kind of set in
stone.
353
00:19:25,890 --> 00:19:29,050
You decide you know where that
path is and it should never be
354
00:19:29,050 --> 00:19:31,100
changed.
I really believe strategy needs
355
00:19:31,100 --> 00:19:32,820
to be dynamic.
It is something you're
356
00:19:33,060 --> 00:19:35,100
constantly revisiting.
You're looking at your
357
00:19:35,100 --> 00:19:38,060
assumptions, you're testing your
assumptions, and when need be
358
00:19:38,060 --> 00:19:40,900
you're pivoting.
But having that viewpoint of
359
00:19:40,900 --> 00:19:43,780
where you're trying to go
absolutely critical.
360
00:19:43,780 --> 00:19:46,260
Otherwise you're going to spend
a lot of time developing things
361
00:19:46,260 --> 00:19:48,780
that again, might might prove
useless.
362
00:19:49,460 --> 00:19:53,260
Yeah, just as a comment from my
side, in previous slides, as I
363
00:19:53,300 --> 00:19:57,940
was saying to you Michael, as a
consultant, I asked customers.
364
00:19:58,350 --> 00:20:03,710
Okay, What is your current,
let's say, priority?
365
00:20:03,710 --> 00:20:06,710
Yeah, we are on a journey of
digital transformation.
366
00:20:06,790 --> 00:20:09,750
Okay what you did.
We adopted cloud.
367
00:20:09,750 --> 00:20:14,030
We implemented that and that.
And then I'm saying, yeah, So
368
00:20:14,030 --> 00:20:16,590
what?
Like because I think what people
369
00:20:16,590 --> 00:20:20,590
miss here, and I hope you agree
with me, Michael and I like this
370
00:20:20,590 --> 00:20:24,190
approach is, you know, too
famous sentence maybe.
371
00:20:24,190 --> 00:20:26,550
And that's what might be like a
very cliche.
372
00:20:27,190 --> 00:20:31,270
Have and in mind.
And the second one have a why
373
00:20:31,310 --> 00:20:35,310
right Like in everything.
So why actually you want to
374
00:20:35,790 --> 00:20:39,070
adopt the cloud?
Is it to have a better customer
375
00:20:39,070 --> 00:20:42,470
reach?
Is it like to spin services
376
00:20:42,470 --> 00:20:46,230
faster than the competition
which you touched on before but
377
00:20:46,310 --> 00:20:48,670
people like they just get it to
for the sake.
378
00:20:48,670 --> 00:20:52,950
And here excuse me all vendors
like I'm a vendor agnostic guy
379
00:20:52,950 --> 00:20:54,110
now.
I used to work with some
380
00:20:54,110 --> 00:20:57,940
vendors.
You need also to tailor your
381
00:20:57,940 --> 00:21:01,060
marketing on customer needs
space.
382
00:21:01,100 --> 00:21:04,340
Like yeah, if you adopt the
cloud, you are now on a digital
383
00:21:04,340 --> 00:21:06,860
transformation journey.
And just for the sake of
384
00:21:06,860 --> 00:21:10,980
example, I've seen here in the
Middle East in the area where I
385
00:21:10,980 --> 00:21:13,460
am living now, millions of
dollars.
386
00:21:13,880 --> 00:21:18,640
Spent on what so-called digital
transformation and it failed so
387
00:21:18,720 --> 00:21:22,720
badly.
So yeah, 100% A. 100% agree.
388
00:21:22,720 --> 00:21:26,160
I mean, this is the CTO show.
But I will say that what I've
389
00:21:26,160 --> 00:21:30,360
observed is when digital
transformation is exclusively
390
00:21:30,360 --> 00:21:34,120
the domain of the CTO and the
technology office.
391
00:21:34,610 --> 00:21:36,170
You're probably in trouble,
right?
392
00:21:36,250 --> 00:21:41,650
You, you, you need that top
leadership, the CEO level buy in
393
00:21:41,730 --> 00:21:44,490
to why you're doing this and to
what ends.
394
00:21:44,570 --> 00:21:47,730
And unfortunately I think this
happens in technology all the
395
00:21:47,730 --> 00:21:51,770
time is it's it's a new, it's a
new fun widget, right.
396
00:21:51,770 --> 00:21:54,890
It's a new fun piece of
technology and then we go
397
00:21:54,890 --> 00:21:57,770
exploring how we might apply it
instead of maybe working the
398
00:21:57,770 --> 00:22:00,610
other way around kind of
thinking what are the broader
399
00:22:00,610 --> 00:22:02,930
implications and then how do we
leverage it.
400
00:22:03,460 --> 00:22:05,620
Dare I say generative AI.
I think we're seeing this all
401
00:22:05,620 --> 00:22:08,780
over the place right now where
CEO's are being pressured on
402
00:22:08,780 --> 00:22:10,820
earnings calls and the like to
be responsive.
403
00:22:12,220 --> 00:22:15,940
You know a lot of that is, is
you know, not very thoughtful at
404
00:22:15,940 --> 00:22:17,380
this point.
You know, people just kind of,
405
00:22:17,380 --> 00:22:19,740
Oh yes, of course we're pursuing
generative AI and we're
406
00:22:19,740 --> 00:22:22,500
considering how you know, like
what really what are you doing,
407
00:22:22,620 --> 00:22:25,620
like how is this actually going
to impact your business, How is
408
00:22:25,620 --> 00:22:28,660
this going to create new growth
opportunities for you?
409
00:22:28,780 --> 00:22:31,260
Like those are the important
questions to be asking.
410
00:22:31,580 --> 00:22:34,820
Not just running out and
immediately adopting and
411
00:22:34,820 --> 00:22:37,340
spending on technology.
Yeah, right.
412
00:22:37,340 --> 00:22:40,820
And the reason I call it CTO
show, because I wanted to be a
413
00:22:40,820 --> 00:22:43,340
bridge between tech and
business.
414
00:22:43,340 --> 00:22:47,580
So that's it.
Now Michael, what challenges do
415
00:22:47,580 --> 00:22:51,020
organizations typically face
when undergoing edge
416
00:22:51,020 --> 00:22:54,300
transformation and usually how
these challenges can be
417
00:22:54,340 --> 00:22:56,150
addressed successfully?
Yeah.
418
00:22:56,150 --> 00:22:59,430
One of the things I advocate for
what I call digital champions
419
00:22:59,470 --> 00:23:03,110
and what I mean by that are
actually not the technology or
420
00:23:03,110 --> 00:23:05,910
the data scientist side.
Like they're really critical.
421
00:23:06,950 --> 00:23:10,190
I have seen organizations where
you have C-Suite buy in, they
422
00:23:10,190 --> 00:23:12,390
have a strategy, a vision for
where they're trying to go.
423
00:23:12,870 --> 00:23:17,630
You have a very capable and
empowered technology, office
424
00:23:17,910 --> 00:23:20,870
technology staff and where
things fail.
425
00:23:21,310 --> 00:23:24,510
Is in, let's say, the business
unit and business unit level,
426
00:23:24,510 --> 00:23:26,830
right in the operating units of
the organization.
427
00:23:28,070 --> 00:23:31,390
Digital transformation can be
onerous, right?
428
00:23:31,390 --> 00:23:34,710
It can be one sometimes viewed
as wait a minute, are you trying
429
00:23:34,710 --> 00:23:38,750
to automate me out of a job?
Why are we adopting these
430
00:23:38,750 --> 00:23:41,630
technologies?
I talked in the book about from
431
00:23:41,630 --> 00:23:43,830
my own personal experience
leaving our digital
432
00:23:43,830 --> 00:23:47,070
transformation here at Darden,
data can be power.
433
00:23:47,520 --> 00:23:50,320
And people are unwilling to give
that power up by sharing their
434
00:23:50,320 --> 00:23:53,960
data with the enterprise.
You have problems where people
435
00:23:53,960 --> 00:23:59,480
create, you know, wonderful
decision aids, maybe a dashboard
436
00:23:59,480 --> 00:24:01,760
or maybe some more
sophisticated, let's say I
437
00:24:01,760 --> 00:24:05,320
prediction.
And while it's created, it's not
438
00:24:05,320 --> 00:24:07,480
actually used right?
Like people aren't actually
439
00:24:07,480 --> 00:24:10,440
using the technology to make
decisions within the
440
00:24:10,440 --> 00:24:13,080
organization.
So one way to overcome that.
441
00:24:13,420 --> 00:24:17,180
Is to Foster and encourage these
digital champions who are
442
00:24:17,420 --> 00:24:19,620
understanding of the technology
but not necessarily
443
00:24:19,620 --> 00:24:22,820
technologists themselves.
It more kind of, you know,
444
00:24:23,020 --> 00:24:25,500
business unit experts.
Maybe they're in HR or maybe
445
00:24:25,500 --> 00:24:28,700
they're in finance or maybe
they're in marketing or again in
446
00:24:28,700 --> 00:24:32,340
the individual business units
who can be that bridge, you
447
00:24:32,340 --> 00:24:35,420
know, who understand enough
about the technology but then
448
00:24:35,420 --> 00:24:38,580
can translate it back to their
unit and.
449
00:24:39,510 --> 00:24:43,550
Again, no offense to the
technologists on the line here.
450
00:24:44,550 --> 00:24:49,110
Sometimes we're speaking
different languages and the
451
00:24:49,110 --> 00:24:50,990
marketing person doesn't
understand what you're talking
452
00:24:50,990 --> 00:24:53,870
about when you're talking about
some of the opportunities here.
453
00:24:54,630 --> 00:24:57,110
And so having these people who
are going to be translators and
454
00:24:57,110 --> 00:25:00,230
serve as those champions, I've
found that to be really, really
455
00:25:00,230 --> 00:25:03,030
critical.
Yeah, that's why I always also
456
00:25:03,070 --> 00:25:04,790
mentioned on the show a couple
of times.
457
00:25:04,790 --> 00:25:06,710
I advise anyone who works in
tech.
458
00:25:07,100 --> 00:25:09,580
Even when you are still early in
your career, maybe you are still
459
00:25:09,580 --> 00:25:12,780
on the infrastructure, you are
an admin guy, maybe you are a
460
00:25:12,780 --> 00:25:15,300
cybersecurity analyst, maybe you
are, I don't know, an
461
00:25:15,300 --> 00:25:18,700
application developer.
Always try to build with time
462
00:25:18,700 --> 00:25:21,580
the business acumen.
So when you go and talk to to
463
00:25:21,580 --> 00:25:25,340
people, I mean to, to maybe
managers even maybe at some
464
00:25:25,340 --> 00:25:28,300
stage C-Suite.
These guys, I don't understand
465
00:25:28,300 --> 00:25:32,420
your slashes and code and all
this.
466
00:25:32,420 --> 00:25:35,780
They need to to hear something
more business.
467
00:25:36,620 --> 00:25:38,260
Wise.
Meaningful.
468
00:25:38,340 --> 00:25:40,140
Yeah, you know.
I I think I could say this
469
00:25:40,140 --> 00:25:42,340
because I, you know, I have two
engineering degrees, so I'm a
470
00:25:42,340 --> 00:25:44,940
reformed engineer.
But you know, engineers want to
471
00:25:44,940 --> 00:25:48,540
solve problems, right?
And so the problem sometimes is
472
00:25:48,540 --> 00:25:52,460
the engineers will find a $10
million solution to a $5 million
473
00:25:52,460 --> 00:25:56,460
opportunity, right?
Like so you know, understanding
474
00:25:56,460 --> 00:25:59,820
you've got to make the business
case for these and and again
475
00:25:59,860 --> 00:26:02,860
translate just absolutely
critical to being effective and
476
00:26:03,180 --> 00:26:04,700
and transforming the
organization.
477
00:26:05,500 --> 00:26:08,780
Yeah.
Now while you were answering the
478
00:26:08,780 --> 00:26:12,660
previous question, you touched
base on collecting data and some
479
00:26:12,660 --> 00:26:15,740
frictions there.
So here what are some of the
480
00:26:15,780 --> 00:26:17,860
ethical and policy
considerations that
481
00:26:17,860 --> 00:26:22,140
organizations need to take into
account when doing the digital
482
00:26:22,140 --> 00:26:24,180
transformation?
Because it's all about data and
483
00:26:24,220 --> 00:26:26,340
how we get data, we need to
collect it, right?
484
00:26:26,690 --> 00:26:27,930
Yeah, I'm.
I'm glad you raised that.
485
00:26:27,930 --> 00:26:31,170
You know, I have a whole chapter
in the book about the political
486
00:26:31,170 --> 00:26:36,690
and social implications of of
digital and there it's fraught.
487
00:26:36,690 --> 00:26:38,370
It's a fraught world.
We we live in.
488
00:26:39,370 --> 00:26:42,770
I I don't have any great answers
to like what should or should
489
00:26:42,770 --> 00:26:46,410
not be the right choice.
What I do really emphasize is
490
00:26:46,410 --> 00:26:49,210
that values matter and that as
an organization you need to be
491
00:26:49,250 --> 00:26:53,490
very intentional about the
impact you were having on your
492
00:26:53,490 --> 00:26:56,550
various stakeholders.
And what you feel comfortable
493
00:26:56,550 --> 00:27:00,550
with and not comfortable with as
a company, it's not easy.
494
00:27:00,550 --> 00:27:04,190
I look at Google and Microsoft
in particular right now with
495
00:27:04,190 --> 00:27:06,750
generative AI.
You can see it in their public
496
00:27:06,750 --> 00:27:09,270
statements, how they are
struggling.
497
00:27:10,430 --> 00:27:12,590
They know the power of this
technology.
498
00:27:12,790 --> 00:27:15,990
They know that it has
potentially some very negative
499
00:27:15,990 --> 00:27:20,150
implications and yet they know
they need to keep pushing the
500
00:27:20,150 --> 00:27:22,980
technology forward.
And I think, you know, the
501
00:27:22,980 --> 00:27:27,260
important thing again is to just
be very clear about what your
502
00:27:27,260 --> 00:27:28,940
value system is.
You know, Google has that
503
00:27:28,940 --> 00:27:31,020
classic line that they do know
evil.
504
00:27:31,020 --> 00:27:34,220
Right now that's a little vague,
hard to define what is evil or
505
00:27:34,220 --> 00:27:38,380
not evil, but I could be a very
understanding and one of the the
506
00:27:38,380 --> 00:27:41,620
worksheets building off of what
we call like a stakeholder
507
00:27:41,620 --> 00:27:43,620
analysis.
It's just very simply, you know,
508
00:27:43,620 --> 00:27:45,100
who are your various
stakeholders?
509
00:27:45,140 --> 00:27:49,220
What do they care about?
How is your actions impacting
510
00:27:49,220 --> 00:27:51,480
them?
And then how do you think those
511
00:27:51,480 --> 00:27:53,840
are aligned with your values as
an organization?
512
00:27:54,560 --> 00:27:57,200
And again, trying to be very
explicit about this.
513
00:27:57,200 --> 00:27:59,840
So data privacy is a critical
one.
514
00:28:00,360 --> 00:28:03,840
And look, there are very
positive uses of personal data
515
00:28:03,840 --> 00:28:06,960
that customize products and
services that create value for
516
00:28:06,960 --> 00:28:09,640
those customers.
And then there's ones that maybe
517
00:28:09,680 --> 00:28:11,920
we feel a little less
comfortable with and and how far
518
00:28:11,920 --> 00:28:16,730
do we want to push that?
Again, I think business leaders
519
00:28:16,770 --> 00:28:20,290
need to be very intentional and
understanding of those
520
00:28:20,290 --> 00:28:22,690
applications.
Yeah, 100%.
521
00:28:23,010 --> 00:28:26,490
Now, as we are coming to the
end, I have a couple of
522
00:28:26,490 --> 00:28:28,210
questions left.
And then I have a special
523
00:28:28,210 --> 00:28:29,210
question.
Sure.
524
00:28:29,210 --> 00:28:33,250
How can the book be a resource
for executives, entrepreneurs
525
00:28:33,450 --> 00:28:36,090
and other professionals seeking
to navigate the digital
526
00:28:36,090 --> 00:28:38,250
landscape and stay ahead of the
competition?
527
00:28:38,790 --> 00:28:40,390
Yeah.
Again, this book is very much
528
00:28:40,390 --> 00:28:43,870
managerial in its focus.
The worksheets throughout the
529
00:28:43,870 --> 00:28:46,070
book are designed to be
integrative.
530
00:28:46,230 --> 00:28:50,550
And so that they are a way to
kind of walk you through how you
531
00:28:50,550 --> 00:28:52,630
might think about your future
position and then how you would
532
00:28:52,670 --> 00:28:55,830
execute against that while
you're pursuing a digital
533
00:28:55,830 --> 00:28:58,390
transformation.
And at the core of it, as we
534
00:28:58,390 --> 00:29:01,390
were talking about earlier, is
this idea of creating a learning
535
00:29:01,390 --> 00:29:03,550
organization.
How do you build in the?
536
00:29:04,820 --> 00:29:08,740
You know the capabilities to be
nimble, to pursue and learn,
537
00:29:09,140 --> 00:29:13,900
experiment and likely fail, but
also continue to learn and move
538
00:29:13,900 --> 00:29:16,700
forward.
So the book really is designed
539
00:29:16,700 --> 00:29:20,780
as a way to help you from
beginning to end of a digital
540
00:29:20,780 --> 00:29:22,860
transformation.
Though I should say and I say
541
00:29:22,860 --> 00:29:26,620
end, I do believe digital
transformation is a journey and
542
00:29:26,620 --> 00:29:28,260
not a destination.
And so.
543
00:29:29,090 --> 00:29:30,970
The technologies will continue
to evolve.
544
00:29:31,370 --> 00:29:33,770
You'll need to continue to
adjust and involve your
545
00:29:33,770 --> 00:29:37,770
capabilities and your strategy
as they evolve.
546
00:29:38,450 --> 00:29:41,290
Yeah, 100% because technology is
evolving all the time.
547
00:29:41,290 --> 00:29:46,850
So it's not like 1 task and
we've done now for anyone who
548
00:29:46,850 --> 00:29:50,890
would they would buy the book
and they would get the book,
549
00:29:51,210 --> 00:29:56,010
what do you think the takeaways
they will have from reading the
550
00:29:56,010 --> 00:29:58,020
book?
Well, I think I go back to where
551
00:29:58,020 --> 00:30:01,060
we started our conversation.
You know, first and foremost, it
552
00:30:01,060 --> 00:30:04,580
is this idea that in our digital
age, these digital technologies
553
00:30:04,940 --> 00:30:07,860
are often fundamentally
reshaping the basis of
554
00:30:07,860 --> 00:30:11,540
competition in industries.
And understanding that at a
555
00:30:11,780 --> 00:30:15,060
sophisticated level is going to
be the beginning of how you
556
00:30:15,060 --> 00:30:18,060
start to strategize around us.
One of the things I talk about
557
00:30:18,060 --> 00:30:21,700
in the book, classic economics
idea of network externalities
558
00:30:21,700 --> 00:30:25,020
and in a digital age, especially
with proliferation platforms.
559
00:30:25,500 --> 00:30:27,980
We see these network
externalities everywhere, so
560
00:30:27,980 --> 00:30:30,180
this is very simply the idea
that the value of a greater
561
00:30:30,180 --> 00:30:33,180
service improves as others
consume it.
562
00:30:33,380 --> 00:30:36,740
So you think about Facebook, the
value of being the first person
563
00:30:36,740 --> 00:30:39,260
on Facebook is very low, but as
others start to use that
564
00:30:39,260 --> 00:30:42,860
network, its value increases.
This is true a lot of times with
565
00:30:42,860 --> 00:30:45,660
software.
Operating systems and the like
566
00:30:45,660 --> 00:30:48,940
have this type of feature that
is really important implications
567
00:30:48,940 --> 00:30:51,520
for competition.
In some cases it leads to kind
568
00:30:51,520 --> 00:30:55,160
of winner take all markets as we
call it, whether if not one
569
00:30:55,160 --> 00:30:57,040
player, at least one dominant
player.
570
00:30:57,560 --> 00:31:00,960
And we see that through online
retail with Amazon, through
571
00:31:00,960 --> 00:31:03,160
search with Google, through
social media at least
572
00:31:03,240 --> 00:31:05,600
historically with Facebook
increasingly now tick tock.
573
00:31:06,680 --> 00:31:09,920
And so understanding those
underlying economics and
574
00:31:09,920 --> 00:31:13,720
dynamics absolutely critical for
designing an effective strategy.
575
00:31:14,480 --> 00:31:18,620
Yeah, that's great now.
So my last question, which is
576
00:31:18,620 --> 00:31:21,980
now it's like a traditional
question, is there anything,
577
00:31:21,980 --> 00:31:24,860
Michael you wished I asked you
and how would you answer it?
578
00:31:25,900 --> 00:31:29,500
Well, you hit upon a lot of the
important pieces here.
579
00:31:29,500 --> 00:31:33,420
Again, strategy leading the
digital transformation policy
580
00:31:33,420 --> 00:31:37,260
and social impacts of digital
being an explicit part of your
581
00:31:37,260 --> 00:31:40,500
digital strategy and really
being quite intentional about
582
00:31:40,500 --> 00:31:44,500
that and then again, integrated
it all together as you move
583
00:31:44,500 --> 00:31:46,350
forward.
And having that learning
584
00:31:46,350 --> 00:31:48,830
mindset.
And so I think those are kind of
585
00:31:48,830 --> 00:31:51,110
the big takeaways in the book.
And again, it's really designed
586
00:31:51,110 --> 00:31:53,750
to help walk you through that
process.
587
00:31:54,430 --> 00:31:57,550
That's great, Michael, How
people can find?
588
00:31:58,340 --> 00:32:01,500
More about you and where they
can get the book.
589
00:32:01,620 --> 00:32:03,700
Yeah, the book is from Stanford
University Press, but it's
590
00:32:03,700 --> 00:32:07,220
available and all your favorite
online retailers, Amazon, Barnes
591
00:32:07,220 --> 00:32:09,860
and Noble and the like.
And if you'd like to learn more
592
00:32:09,860 --> 00:32:12,300
about me, so just go to my
personal website which is
593
00:32:12,340 --> 00:32:17,140
Michael Lenox lenox.com and you
can find out a little bit more
594
00:32:17,140 --> 00:32:20,380
about me and some of my work.
I actually have my own podcast
595
00:32:20,700 --> 00:32:23,530
called Great option.
Where we tackle some of these
596
00:32:23,530 --> 00:32:26,250
technologies and talk whether we
think it's a good disruption, a
597
00:32:26,250 --> 00:32:30,090
bad disruption or in some cases
no disruption at all and so you
598
00:32:30,090 --> 00:32:32,370
can check that out as well.
That's great.
599
00:32:32,410 --> 00:32:36,090
I will make sure that I will put
this in the episode description.
600
00:32:36,290 --> 00:32:38,690
Well, Michael, thank you very
much for your time today.
601
00:32:38,690 --> 00:32:41,770
I know that you were busy and
back-to-back, Thank you for
602
00:32:41,770 --> 00:32:46,210
being on the show and as usually
the way I end every episode, I
603
00:32:46,210 --> 00:32:50,720
say and I repeat if anyone.
If you are watching us or you
604
00:32:50,720 --> 00:32:53,520
are listening to us, you have
any questions or feedback about
605
00:32:53,520 --> 00:32:55,720
this episode, please don't
hesitate to reach out.
606
00:32:56,120 --> 00:32:59,720
You can send me an e-mail,
LinkedIn and Twitter where I'm
607
00:32:59,720 --> 00:33:03,400
most active If you are
interested to be a guest like
608
00:33:03,400 --> 00:33:05,800
Michael today on the show.
Also, please reach out.
609
00:33:05,800 --> 00:33:08,280
Don't be shy.
I'm always looking for some
610
00:33:08,280 --> 00:33:11,760
people who can inspire us, have
a story to tell us or they have
611
00:33:11,760 --> 00:33:13,440
a book they want to share with
us.
612
00:33:13,800 --> 00:33:17,160
We'd be more than happy to have
you on the show and.
613
00:33:17,700 --> 00:33:21,420
As usual also as well, I hope
you are enjoying and don't
614
00:33:21,420 --> 00:33:25,140
forget to subscribe and we meet
again the next episode.
615
00:33:25,140 --> 00:33:26,260
Thank you very much.
Bye, bye.
616
00:33:26,740 --> 00:33:30,780
Thank you.
Hit that subscribe button, share
617
00:33:30,780 --> 00:33:34,140
the show with your tech savvy
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618
00:33:34,220 --> 00:33:36,980
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619
00:33:37,180 --> 00:33:39,900
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