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JOSEPH HADZIMA: OK.

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Welcome to this session
of nuts and bolts,

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where we're going to talk about
business models or venture

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models.

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Bob Jones the other
night, talked to you

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about finding your customer.

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And if you remember how he did
that with his guitar lesson

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example, he looked at different
customers, different pricing

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points.

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That's the beginning of
what a business model is.

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The model says, how are
you going to make money

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or how are you going to
develop a sustainable business?

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And tonight, to
tell us about that,

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we have Rich Kivel, who has
been a serial entrepreneur

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and an investor and
has seen many business

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models over the years.

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So Rich, I'm just going to
turn it right over to you

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and take it from here.

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RICHARD KIVEL: Thank you, Joe.

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Perfect.

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Good evening, everybody.

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This is a fun topic,
because it actually

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gets into the nitty gritty of
how do companies make money?

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How do you think about bringing
the product, the invention,

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the technology, the
idea, the service

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that you're ultimately
thinking about building,

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how do you ultimately
get it to a point

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where you're able to generate
revenue and ultimately returns

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for your investors, whether
that be your venture investors

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or strategic partners?

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Or maybe you've angel
funded your company

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and you really have
yourself and a couple

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of friends that really want
to make something special

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have an impact.

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So I'm going to talk a little
bit about business models.

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Just my background real quick
was the whole first part

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of my career was on the
operating side of companies.

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So sales, marketing,
partnerships.

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First time I became
CEO was a long time ago

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when Joe and I actually met.

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It was an MIT spinout.

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It was actually a company that
had won the MIT Business Plan

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Competition.

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And a couple of years later,
after I exited a technology

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company, I got a call
by the investors,

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and they were looking for
somebody to run this company.

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They had a whole bunch of
incredibly smart engineers

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and physicists and
others, and they

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needed somebody that had
operations experience, how

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to build the business model.

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This was back in the days
of the Human Genome Project,

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for those of you that are
in the life science area.

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In fact, just show of hands,
life science people here,

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healthcare, biotech?

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OK.

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Tech tech, hard tech,
deep tech, robotics?

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Excellent.

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What other areas
are you guys in?

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Software.

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Yeah.

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So SaaS platforms,
big data, analytics.

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What else?

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Oh, fantastic.

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Any specific realm?

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Geothermal.

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Excellent.

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Good.

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So essentially, when I got
involved with this company,

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it was basically a company doing
software called Bioinformatics.

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They were building
software that would

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allow scientists and researchers
working on the Human Genome

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Project to communicate
with all of the instruments

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in their lab, which nowadays we
just simply take for granted.

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You plug in just like your
printer in your office.

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You plug it into the wall,
it shows up on your iPhone,

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and it shows up
on your computer,

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and everything is simple.

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But back then, when
somebody sitting here

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across the street or diagonally
down the street from us

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at the Whitehead Institute
or the Broad Institute,

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were doing research,
everything in their lab

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essentially was autonomous.

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So you got a new pen tool,
robot, or microarray,

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and it showed up with its
own computer and a tower

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of a computer stack and a screen
and a keyboard and a mouse,

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and it ran its own software.

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And then you would go down
to the refrigerator that

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was a barcode
scanning refrigerator

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with all your samples,
and that refrigerator

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had its own computer.

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And then the scanner,
the robot, everything

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was running autonomously.

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So engineers were essentially
put in a position,

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and scientists were, they had
to build Excel spreadsheets

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to track all of this data.

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So import export,
just constant chaos.

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And that became more
and more difficult,

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as you can imagine, as the
machines, the instruments,

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as we called them, the
robotics and the scanners

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started taking so
much more data.

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It was easy when you had
a small microtiter plate

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and you had a little pin tool
robot putting a little DNA

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sample into a well, and
then it would show up

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once you imaged it.

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But that's really
hard to do when

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you're doing tens of thousands
or millions of data points

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at once.

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So our software
essentially figured out

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how to communicate with all
the instruments, writing

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APIs, things that we all
take for granted now,

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and then helping downstream.

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So step one was really
capture of the information.

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Then step two was
visualize the information.

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So we caught all
this information off

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of all these
instruments in the lab.

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We then can visualize it.

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We can see it.

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We can decide whether this
gene is overexpressing

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or underexpressing.

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And then downstream
was the data mining.

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How do we create value
from the information?

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And what's funny is
I had no background

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at all in biotech pharma, 0.

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I didn't know how to
spell bioinformatics.

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I think I might have
went on Yahoo! back then

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and figured out what
the hell it meant.

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But truthfully, it
really didn't matter.

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At the end of the
day, we were building

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software for scientists.

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And what mattered was,
were we creating value out

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of this invention?

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So what you think
about now, whether it

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be that you are working
in the energy industry,

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whether you are building drones
that are capturing information,

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whether you're building
satellites that are actually

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looking at, let's say,
methane emissions,

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at the end of the day, the value
very often comes from the data.

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And that is the magic of it all.

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And that's been the case,
truly, in a magnificent way

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over the past 20 years and
growing more and more so.

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So what's fascinating
is when I first

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had the privilege of doing this
class, this exact lecture back

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in the old days
with Joe and Joost

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Bonsen and that whole
team, it was funny.

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We were looking at business
models that were so arcane.

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It was basically, are
you going to sell online?

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Are you going to sell retail?

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That was it.

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And then you had a
couple of nuances.

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You had computer companies
that Michael Dell competing

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against a company
called Gateway.

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And their novel
business model was

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that they would customize
the computer for you

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based on your specific
specifications versus everybody

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else that basically you walked
into your local equivalent

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of a Best Buy, and you bought
the computer they had there

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based on how much
memory you needed.

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But there was no customization.

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So customization became
a differentiating factor.

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And these were very, very
small, incremental changes

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that took place
until we suddenly

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saw ubiquitous Wi-Fi, ubiquitous
internet connectivity, where

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we saw now business
models that could never

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have existed just months
or years before suddenly

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came into play.

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So what I'm going to do today
is share with you where business

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models evolve from
and how important they

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are to the decisions
you guys make,

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whether you be the
founder entrepreneur,

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you be the fifth
hire in the company,

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or you're going to work
for a big organization,

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and you happen to
have the luxury

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of launching a new product.

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At the end of the
day, a business model

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is not only critical to the
way the company operates

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and communicates and
brands itself to the world,

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but it also needs to be flexible
enough that it can adjust.

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So let's talk a little
bit about these things.

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So starting in the
very beginning of it,

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choosing the right
business model

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is crucial for the
success of any company.

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And for those of you that read
some of the background material

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for this course, one
of the definitions

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is that a successful
business must

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be willing to modify its model
to adapt quickly in any market.

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And that's absolutely critical.

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That will define whether your
business is nimble and succeeds

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long term or maybe you got lucky
and it was a blip on the screen.

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As a matter of fact, from
that same book, if you guys,

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I don't know how many
of you looked at it,

00:08:41.460 --> 00:08:43.377 align:middle line:84%
but it was part of the
reading of this course,

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was the business
model generation book.

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And this model or this
definition I think is perfect.

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A business model
describes the rationale

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of how an organization creates,
delivers, and captures value.

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That's it.

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And the value can be measured
in many, many different ways.

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Hopefully it's measured on the
consumer side, the customer

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side, the corporate side,
whoever you're ultimately

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selling to, whether
it's a SaaS platform

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and you're selling
enterprise wide solutions

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to the financial
service industry,

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or you're delivering a product
to an end user, a consumer.

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So it's a B2B versus
a B2C type of a model.

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When we think about frameworks,
and this is something that when

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my career started it was in
tech and then in biopharma

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tech for many, many years, and
then a number of years back,

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I started to move
over to the other side

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of the equation, which was
investing in companies.

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And having been on
the operating side,

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literally out there all the time
raising capital for companies,

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expanding, hiring, firing,
succeeding, failing,

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taking companies from literally
eight people up to 85 to 250

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to 1,000 people.

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All of that growth
typically happens

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because the organization
is well funded

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and it has flexibility
in its business model.

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When I go back for a moment
to share with you the company

00:10:10.740 --> 00:10:13.460 align:middle line:84%
MolecularWare, which
was an MIT spinout,

00:10:13.460 --> 00:10:15.740 align:middle line:84%
that company was
building bioinformatics

00:10:15.740 --> 00:10:17.320 align:middle line:84%
software, software
for scientists.

00:10:17.320 --> 00:10:18.760 align:middle line:90%
It had one business model.

00:10:18.760 --> 00:10:22.320 align:middle line:84%
It sold to academics when I
arrived as CEO of that company.

00:10:22.320 --> 00:10:24.660 align:middle line:90%
It was my first CEO gig ever.

00:10:24.660 --> 00:10:27.220 align:middle line:84%
And of course, they sold
to the people they knew.

00:10:27.220 --> 00:10:28.660 align:middle line:84%
These were all
super smart people

00:10:28.660 --> 00:10:31.980 align:middle line:84%
that came out of
the RIKEN Institute

00:10:31.980 --> 00:10:35.520 align:middle line:84%
in Japan, the Broad
Institute, or at that time,

00:10:35.520 --> 00:10:37.660 align:middle line:84%
I guess it was the
Whitehead Institute,

00:10:37.660 --> 00:10:40.080 align:middle line:90%
and that was the business model.

00:10:40.080 --> 00:10:41.960 align:middle line:84%
But you can't really
scale very well,

00:10:41.960 --> 00:10:44.820 align:middle line:84%
nor can you be very, very
attractive to the investment

00:10:44.820 --> 00:10:48.120 align:middle line:84%
community if you have one client
and that client is academics,

00:10:48.120 --> 00:10:50.060 align:middle line:84%
or that one client
is government.

00:10:50.060 --> 00:10:52.285 align:middle line:84%
So we started to think
about other models.

00:10:52.285 --> 00:10:54.160 align:middle line:84%
Some of them we're going
to talk about today.

00:10:54.160 --> 00:10:56.860 align:middle line:84%
So we not only built
software for scientists

00:10:56.860 --> 00:10:59.220 align:middle line:84%
and sold to the
academicians, which

00:10:59.220 --> 00:11:01.400 align:middle line:84%
is an entirely
different sales process.

00:11:01.400 --> 00:11:04.340 align:middle line:84%
You've got different budgetary
processes, different conferences

00:11:04.340 --> 00:11:05.740 align:middle line:90%
you need to attend.

00:11:05.740 --> 00:11:10.220 align:middle line:84%
But then we developed a series
of other sales mechanisms.

00:11:10.220 --> 00:11:12.540 align:middle line:84%
One of the first
and most successful

00:11:12.540 --> 00:11:15.020 align:middle line:84%
was because we had relationships
with the RIKEN Institute

00:11:15.020 --> 00:11:19.420 align:middle line:84%
in Japan, we decided that we
needed to do more in Asia.

00:11:19.420 --> 00:11:21.700 align:middle line:84%
And certainly building
a sales force in Asia

00:11:21.700 --> 00:11:25.020 align:middle line:84%
was out of the question for a
little Kendall Square company

00:11:25.020 --> 00:11:27.140 align:middle line:90%
with 15 people.

00:11:27.140 --> 00:11:29.818 align:middle line:84%
So we started partnering
with distributors.

00:11:29.818 --> 00:11:31.860 align:middle line:84%
So we had this fantastic
distribution partnership

00:11:31.860 --> 00:11:33.820 align:middle line:90%
with a company called CTC.

00:11:33.820 --> 00:11:37.180 align:middle line:84%
And CTC essentially
sold our product for us.

00:11:37.180 --> 00:11:39.290 align:middle line:84%
So that became part
of our business model.

00:11:39.290 --> 00:11:42.310 align:middle line:84%
So we had direct
to academicians,

00:11:42.310 --> 00:11:44.870 align:middle line:84%
which was great, because
it was the name branding.

00:11:44.870 --> 00:11:48.630 align:middle line:84%
Harvard bought our software or
Lawrence Berkeley National Lab

00:11:48.630 --> 00:11:50.030 align:middle line:90%
bought our software.

00:11:50.030 --> 00:11:52.640 align:middle line:84%
But then all of a sudden,
we started landing clients

00:11:52.640 --> 00:11:54.890 align:middle line:84%
in other parts of the world
that we could never touch.

00:11:54.890 --> 00:11:56.710 align:middle line:84%
We could never,
ever have afforded

00:11:56.710 --> 00:12:00.310 align:middle line:84%
to put together a sales force
and management and training

00:12:00.310 --> 00:12:03.670 align:middle line:90%
to sell in Asia, as an example.

00:12:03.670 --> 00:12:08.637 align:middle line:84%
So distributors became a
second part of our model.

00:12:08.637 --> 00:12:10.470 align:middle line:84%
And then as we started
to build a little bit

00:12:10.470 --> 00:12:14.630 align:middle line:84%
of a brand for ourselves, we
said, how else can we sell?

00:12:14.630 --> 00:12:17.830 align:middle line:84%
We wanted to sell more
into the US and to Europe.

00:12:17.830 --> 00:12:21.590 align:middle line:84%
But again, building a big sales
force was not in our budget.

00:12:21.590 --> 00:12:24.510 align:middle line:84%
So we then looked at
what's called OEM.

00:12:24.510 --> 00:12:27.030 align:middle line:90%
Who knows what that means?

00:12:27.030 --> 00:12:29.950 align:middle line:90%
Anybody just yell it out.

00:12:29.950 --> 00:12:31.490 align:middle line:84%
Original equipment
manufacturers.

00:12:31.490 --> 00:12:35.310 align:middle line:84%
So we realized, wait a
minute, our software,

00:12:35.310 --> 00:12:37.730 align:middle line:84%
we wrote APIs to all
these cool instruments.

00:12:37.730 --> 00:12:41.230 align:middle line:84%
Cartesian robots, biorobotics,
Packard Bioscience,

00:12:41.230 --> 00:12:45.030 align:middle line:84%
Axon scanners, Applied
Precision scanners.

00:12:45.030 --> 00:12:49.630 align:middle line:84%
Some of those people have
really shitty software,

00:12:49.630 --> 00:12:51.950 align:middle line:84%
and they've got
good instruments.

00:12:51.950 --> 00:12:53.570 align:middle line:90%
We've got amazing software.

00:12:53.570 --> 00:12:55.870 align:middle line:84%
We're not interested in
building instruments.

00:12:55.870 --> 00:12:58.270 align:middle line:84%
Why don't we partner with
them and bundle our software

00:12:58.270 --> 00:13:00.035 align:middle line:90%
inside of their instrument?

00:13:00.035 --> 00:13:01.910 align:middle line:84%
So we wound up landing
one of our first deals

00:13:01.910 --> 00:13:05.110 align:middle line:84%
with Applied Precision
in Issaquah, Washington.

00:13:05.110 --> 00:13:08.410 align:middle line:84%
And they had phenomenal
imaging technology,

00:13:08.410 --> 00:13:11.670 align:middle line:84%
one of the best scanners at
the time, but really crappy

00:13:11.670 --> 00:13:12.250 align:middle line:90%
software.

00:13:12.250 --> 00:13:15.150 align:middle line:84%
Hard to use, kludgy, it was
just a pain in the butt.

00:13:15.150 --> 00:13:17.350 align:middle line:84%
And ultimately, they started
selling more product,

00:13:17.350 --> 00:13:20.310 align:middle line:84%
because now their software
was seamless, fully integrated

00:13:20.310 --> 00:13:24.150 align:middle line:84%
into their instrument, and
it cost us nothing to sell.

00:13:24.150 --> 00:13:26.190 align:middle line:84%
Every time they
sold an instrument,

00:13:26.190 --> 00:13:28.150 align:middle line:90%
we got a check in the mail.

00:13:28.150 --> 00:13:32.750 align:middle line:84%
So we went from direct
to distributors to OEM

00:13:32.750 --> 00:13:34.310 align:middle line:90%
and then continued.

00:13:34.310 --> 00:13:37.800 align:middle line:84%
So having that experience
as an operating person, how

00:13:37.800 --> 00:13:42.360 align:middle line:84%
to build these international
or these national organizations

00:13:42.360 --> 00:13:44.620 align:middle line:84%
was really based on
those experiences.

00:13:44.620 --> 00:13:46.940 align:middle line:84%
And now my job is I
invest in companies.

00:13:46.940 --> 00:13:50.060 align:middle line:84%
So we have a fund
based out of London.

00:13:50.060 --> 00:13:53.020 align:middle line:84%
We invest throughout Europe
and the UK and elsewhere.

00:13:53.020 --> 00:13:55.000 align:middle line:84%
We're doing a deal in
Australia right now.

00:13:55.000 --> 00:13:58.600 align:middle line:84%
And our focus is about 70%
health care and everything else

00:13:58.600 --> 00:14:04.240 align:middle line:84%
is deep tech, software, SaaS
platforms, robotics, all B2B.

00:14:04.240 --> 00:14:08.080 align:middle line:84%
So let's talk a little bit
about how we see the world.

00:14:08.080 --> 00:14:10.490 align:middle line:84%
This is also out
of the book that

00:14:10.490 --> 00:14:12.740 align:middle line:84%
was part of this class, which
I thought was fantastic.

00:14:12.740 --> 00:14:16.320 align:middle line:84%
This is essentially nine of
the key ingredients, what

00:14:16.320 --> 00:14:21.640 align:middle line:84%
they call the canvas in that
book, the business model

00:14:21.640 --> 00:14:25.040 align:middle line:84%
generation book, was about how
do you think about a business

00:14:25.040 --> 00:14:25.652 align:middle line:90%
model.

00:14:25.652 --> 00:14:27.860 align:middle line:84%
And all of these slides will
be available, of course,

00:14:27.860 --> 00:14:30.620 align:middle line:84%
so you don't have to kill
yourself to take notes.

00:14:30.620 --> 00:14:32.120 align:middle line:90%
But I will say this.

00:14:32.120 --> 00:14:34.240 align:middle line:84%
When you think about
each of these slices

00:14:34.240 --> 00:14:37.420 align:middle line:84%
of the pie, of
course, in reality,

00:14:37.420 --> 00:14:39.135 align:middle line:90%
they're not all the same size.

00:14:39.135 --> 00:14:41.760 align:middle line:84%
They're going to change in size
based on where your company is,

00:14:41.760 --> 00:14:43.860 align:middle line:84%
from a standpoint of
its product development,

00:14:43.860 --> 00:14:45.880 align:middle line:90%
its financing, et cetera.

00:14:45.880 --> 00:14:50.760 align:middle line:84%
But each of these components
are so critical and very often

00:14:50.760 --> 00:14:51.700 align:middle line:90%
they blend together.

00:14:51.700 --> 00:14:55.600 align:middle line:84%
So you might have key resources
or key activities that

00:14:55.600 --> 00:14:58.420 align:middle line:84%
are being overseen by one of
the managers in the company,

00:14:58.420 --> 00:15:01.080 align:middle line:84%
whereas the entire marketing
department is in charge

00:15:01.080 --> 00:15:05.760 align:middle line:84%
of the value proposition and
trying to segment the customers.

00:15:05.760 --> 00:15:08.640 align:middle line:84%
But at the end of the day,
each one of these things

00:15:08.640 --> 00:15:10.492 align:middle line:90%
need to move harmoniously.

00:15:10.492 --> 00:15:12.700 align:middle line:84%
And if you think about the
most successful companies,

00:15:12.700 --> 00:15:15.560 align:middle line:84%
and we're going to use a
couple of examples here today,

00:15:15.560 --> 00:15:17.000 align:middle line:84%
they have somehow
figured out how

00:15:17.000 --> 00:15:20.200 align:middle line:84%
to take these nine
little pieces of the pie

00:15:20.200 --> 00:15:23.400 align:middle line:84%
and have them move in a
beautiful way together.

00:15:23.400 --> 00:15:27.200 align:middle line:84%
And that includes everything
from value proposition

00:15:27.200 --> 00:15:29.360 align:middle line:84%
to the customer segments
and then ultimately

00:15:29.360 --> 00:15:30.850 align:middle line:90%
the cost structure.

00:15:30.850 --> 00:15:34.950 align:middle line:84%
Because if you haven't modified
and design your cost structure,

00:15:34.950 --> 00:15:37.810 align:middle line:84%
ultimately you're going to
start to lose money, which

00:15:37.810 --> 00:15:40.210 align:middle line:84%
means you're not going to
be able to properly support

00:15:40.210 --> 00:15:42.970 align:middle line:84%
the client, which means you'll
have no repeat business.

00:15:42.970 --> 00:15:45.410 align:middle line:84%
So each of these
things are amazing.

00:15:45.410 --> 00:15:47.410 align:middle line:84%
For those in here
that play instruments,

00:15:47.410 --> 00:15:52.010 align:middle line:84%
it is exactly that concept of
an orchestra or a jazz band.

00:15:52.010 --> 00:15:54.290 align:middle line:90%
It needs to flow together.

00:15:54.290 --> 00:15:56.410 align:middle line:84%
And if you get everything
moving at the same time

00:15:56.410 --> 00:15:58.610 align:middle line:84%
and they're all moving
with some great flow,

00:15:58.610 --> 00:16:00.570 align:middle line:90%
you create beautiful music.

00:16:00.570 --> 00:16:06.970 align:middle line:84%
If your oboe is way off or your
violinist is one beat behind,

00:16:06.970 --> 00:16:08.510 align:middle line:84%
things are just
a little bit off.

00:16:08.510 --> 00:16:10.470 align:middle line:84%
And that creates
this ripple effect,

00:16:10.470 --> 00:16:14.290 align:middle line:84%
these second and third order
consequences that ultimately

00:16:14.290 --> 00:16:16.330 align:middle line:90%
impact the entire pie.

00:16:16.330 --> 00:16:18.770 align:middle line:84%
The best companies
have figured this out.

00:16:18.770 --> 00:16:20.890 align:middle line:84%
So taking a look a
little bit around how

00:16:20.890 --> 00:16:25.490 align:middle line:84%
we think about business models,
this is nothing new to anybody

00:16:25.490 --> 00:16:26.690 align:middle line:90%
here, right?

00:16:26.690 --> 00:16:28.410 align:middle line:90%
We're all consumers.

00:16:28.410 --> 00:16:32.170 align:middle line:84%
So all of us have dealt with
a gazillion different business

00:16:32.170 --> 00:16:34.270 align:middle line:84%
models, whether we
even realize it or not.

00:16:34.270 --> 00:16:38.770 align:middle line:84%
Of course, subscription business
models seem to rule the day.

00:16:38.770 --> 00:16:43.690 align:middle line:84%
Subscription business models
did not exist 15 years ago.

00:16:43.690 --> 00:16:46.190 align:middle line:84%
There was nothing
to subscribe to.

00:16:46.190 --> 00:16:49.330 align:middle line:84%
If I wanted to go watch
a movie for the weekend

00:16:49.330 --> 00:16:52.010 align:middle line:84%
and I wanted to do it
at home, I got in my car

00:16:52.010 --> 00:16:54.730 align:middle line:84%
and I drove to this
place called Blockbuster,

00:16:54.730 --> 00:16:58.110 align:middle line:84%
and I walked up and
down the aisles.

00:16:58.110 --> 00:17:00.890 align:middle line:84%
It's about the size
of a medium sized CVS.

00:17:00.890 --> 00:17:03.450 align:middle line:84%
And I went to the adventure
section or the romance section

00:17:03.450 --> 00:17:04.835 align:middle line:90%
or the comedy section.

00:17:04.835 --> 00:17:06.210 align:middle line:84%
And then I went
up to the counter

00:17:06.210 --> 00:17:11.569 align:middle line:84%
and I had my three
VCR tapes or DVDs

00:17:11.569 --> 00:17:14.630 align:middle line:84%
that I wanted to see that
weekend or that period of time,

00:17:14.630 --> 00:17:15.630 align:middle line:90%
and I brought them home.

00:17:15.630 --> 00:17:16.713 align:middle line:90%
There was no subscription.

00:17:16.713 --> 00:17:19.970 align:middle line:84%
I never needed to come
back to that store again.

00:17:19.970 --> 00:17:21.690 align:middle line:84%
All of a sudden,
subscription models

00:17:21.690 --> 00:17:24.910 align:middle line:84%
started to make sense when
you have a new economy,

00:17:24.910 --> 00:17:26.609 align:middle line:84%
you have a new
world where people

00:17:26.609 --> 00:17:32.620 align:middle line:84%
think less about owning
and more about experience.

00:17:32.620 --> 00:17:35.820 align:middle line:84%
Think about how companies
like Zipcar and others.

00:17:35.820 --> 00:17:37.580 align:middle line:84%
And there's a gazillion
different models

00:17:37.580 --> 00:17:40.060 align:middle line:84%
of equivalent Zipcars
throughout Europe,

00:17:40.060 --> 00:17:42.500 align:middle line:84%
because people say, why
do I need to have a car?

00:17:42.500 --> 00:17:44.660 align:middle line:84%
In the old days, and
I'm talking old days

00:17:44.660 --> 00:17:48.560 align:middle line:84%
like 10 years, 15 years ago,
if you needed to rent a car,

00:17:48.560 --> 00:17:50.420 align:middle line:90%
it was a nightmare.

00:17:50.420 --> 00:17:52.100 align:middle line:90%
You're sitting in Cambridge.

00:17:52.100 --> 00:17:55.460 align:middle line:84%
The closest car rental place
might be at Logan Airport.

00:17:55.460 --> 00:17:56.760 align:middle line:90%
You had to get there.

00:17:56.760 --> 00:17:59.260 align:middle line:84%
Then you had to go
to the rental center.

00:17:59.260 --> 00:18:01.580 align:middle line:84%
Zipcar comes along
and boom, they

00:18:01.580 --> 00:18:04.740 align:middle line:84%
had a model where I can actually
find a car with my phone

00:18:04.740 --> 00:18:07.700 align:middle line:84%
three blocks from my
house, and I can return it

00:18:07.700 --> 00:18:09.740 align:middle line:90%
to a similar location.

00:18:09.740 --> 00:18:11.515 align:middle line:84%
So subscription really
changed the world,

00:18:11.515 --> 00:18:13.140 align:middle line:84%
but there's obviously
other models here

00:18:13.140 --> 00:18:14.620 align:middle line:90%
we're very familiar with.

00:18:14.620 --> 00:18:16.800 align:middle line:84%
We'll talk about different
ones at different times.

00:18:16.800 --> 00:18:19.757 align:middle line:84%
Obviously the freemium model,
all of us are familiar.

00:18:19.757 --> 00:18:21.340 align:middle line:84%
Certainly the App
Store has completely

00:18:21.340 --> 00:18:24.940 align:middle line:84%
dominated our lives,
whether you use an Android

00:18:24.940 --> 00:18:26.950 align:middle line:90%
or you use an iPhone.

00:18:26.950 --> 00:18:30.112 align:middle line:84%
Everything's free
for three days,

00:18:30.112 --> 00:18:31.570 align:middle line:84%
and then we're
going to charge you.

00:18:31.570 --> 00:18:33.757 align:middle line:84%
Or everything's
free for seven days,

00:18:33.757 --> 00:18:35.590 align:middle line:84%
and then you're going
to get hit with $14.99

00:18:35.590 --> 00:18:37.510 align:middle line:84%
a month in perpetuity,
and we're going

00:18:37.510 --> 00:18:39.750 align:middle line:84%
to make it super
hard for you to quit.

00:18:39.750 --> 00:18:41.890 align:middle line:84%
So the freemium model
really came into place,

00:18:41.890 --> 00:18:44.750 align:middle line:84%
and this was mind boggling
in the investment community

00:18:44.750 --> 00:18:46.150 align:middle line:90%
not that long ago.

00:18:46.150 --> 00:18:47.750 align:middle line:84%
You're going to give
away your product

00:18:47.750 --> 00:18:50.910 align:middle line:84%
and somehow you're going to
become a successful company.

00:18:50.910 --> 00:18:52.870 align:middle line:84%
So that's another
way to think about

00:18:52.870 --> 00:18:54.050 align:middle line:90%
how do I get to the market?

00:18:54.050 --> 00:18:56.330 align:middle line:84%
Which one of these or two
of these or three of these

00:18:56.330 --> 00:18:57.630 align:middle line:90%
am I going to choose?

00:18:57.630 --> 00:19:00.030 align:middle line:84%
The marketplace
certainly has taken over.

00:19:00.030 --> 00:19:03.990 align:middle line:84%
Think about the marketplace
as the Etsys of the world,

00:19:03.990 --> 00:19:08.950 align:middle line:84%
the eBays of the world, where
I can actually myself create

00:19:08.950 --> 00:19:09.770 align:middle line:90%
a marketplace.

00:19:09.770 --> 00:19:12.230 align:middle line:84%
I can sell cool t-shirts,
or I can wind up

00:19:12.230 --> 00:19:14.350 align:middle line:84%
cleaning out my
garage and selling

00:19:14.350 --> 00:19:17.470 align:middle line:84%
a whole bunch of neat things
that are in there, because I'm

00:19:17.470 --> 00:19:19.350 align:middle line:90%
part of this marketplace.

00:19:19.350 --> 00:19:21.530 align:middle line:84%
The advertising world
has completely changed.

00:19:21.530 --> 00:19:25.510 align:middle line:84%
It used to be dominated by big,
big advertising companies, quite

00:19:25.510 --> 00:19:26.090 align:middle line:90%
truthfully.

00:19:26.090 --> 00:19:28.110 align:middle line:84%
I mean, there were
these massive New York

00:19:28.110 --> 00:19:31.390 align:middle line:84%
firms that worked
with big companies,

00:19:31.390 --> 00:19:34.170 align:middle line:84%
and those big companies had
huge advertising budgets.

00:19:34.170 --> 00:19:36.270 align:middle line:90%
And it was very, very linear.

00:19:36.270 --> 00:19:37.770 align:middle line:90%
You bought TV time.

00:19:37.770 --> 00:19:39.275 align:middle line:84%
You bought ad time
in a magazine.

00:19:39.275 --> 00:19:41.150 align:middle line:84%
So you're sitting there
at the salon flipping

00:19:41.150 --> 00:19:44.570 align:middle line:84%
through People Magazine and a
commercial, or I should say,

00:19:44.570 --> 00:19:48.470 align:middle line:84%
a page shows up and it's
promoting some new product.

00:19:48.470 --> 00:19:49.870 align:middle line:90%
That was advertising.

00:19:49.870 --> 00:19:52.970 align:middle line:84%
Advertising now has completely
transformed the way we live.

00:19:52.970 --> 00:19:55.030 align:middle line:84%
We're completely
unaware of how often

00:19:55.030 --> 00:19:56.710 align:middle line:90%
we're impacted by advertising.

00:19:56.710 --> 00:19:58.370 align:middle line:84%
And certainly, as
I mentioned earlier

00:19:58.370 --> 00:20:00.430 align:middle line:84%
when I gave you
the examples of one

00:20:00.430 --> 00:20:04.830 align:middle line:84%
of my earliest companies, direct
sales, OEM, and resellers.

00:20:04.830 --> 00:20:06.310 align:middle line:90%
Truly foundational ways.

00:20:06.310 --> 00:20:09.910 align:middle line:84%
They've existed forever,
but they are still

00:20:09.910 --> 00:20:12.670 align:middle line:84%
some of the most important
ways to think about getting

00:20:12.670 --> 00:20:14.310 align:middle line:90%
your product to the market.

00:20:14.310 --> 00:20:16.670 align:middle line:84%
If you are building a product,
whether it be a software

00:20:16.670 --> 00:20:19.770 align:middle line:84%
platform or be a
technology instrument,

00:20:19.770 --> 00:20:23.640 align:middle line:84%
or it winds up being a widget
that actually helps people that

00:20:23.640 --> 00:20:26.497 align:middle line:84%
are photographers work better,
you have to think about,

00:20:26.497 --> 00:20:28.080 align:middle line:84%
how am I going to
get this in the most

00:20:28.080 --> 00:20:29.720 align:middle line:90%
amount of hands as possible?

00:20:29.720 --> 00:20:32.760 align:middle line:84%
And the OEM reseller,
and essentially

00:20:32.760 --> 00:20:35.920 align:middle line:84%
the direct sales market
is still the way to do it.

00:20:35.920 --> 00:20:38.580 align:middle line:84%
Think about in the area
of pharmaceutical biotech.

00:20:38.580 --> 00:20:40.880 align:middle line:84%
They still have
direct sales forces,

00:20:40.880 --> 00:20:42.140 align:middle line:90%
because doctors are busy.

00:20:42.140 --> 00:20:44.300 align:middle line:84%
They don't have time
to watch advertising.

00:20:44.300 --> 00:20:46.640 align:middle line:84%
They're certainly not
signing up to any freemium.

00:20:46.640 --> 00:20:48.580 align:middle line:84%
They can only attend
so many conferences.

00:20:48.580 --> 00:20:53.240 align:middle line:84%
So you need to physically be
there to actually educate them.

00:20:53.240 --> 00:20:54.620 align:middle line:90%
So think about each of these.

00:20:54.620 --> 00:20:57.000 align:middle line:84%
In fact, everybody
here using a laptop

00:20:57.000 --> 00:21:00.840 align:middle line:84%
is probably most familiar
with the OEM model.

00:21:00.840 --> 00:21:03.160 align:middle line:84%
Every one of our
laptops, you open it up

00:21:03.160 --> 00:21:05.780 align:middle line:84%
and if you're using a PC, it
has a little sticker on it.

00:21:05.780 --> 00:21:08.200 align:middle line:90%
Usually it says Intel inside.

00:21:08.200 --> 00:21:09.720 align:middle line:90%
I mean, that's ingenious.

00:21:09.720 --> 00:21:13.040 align:middle line:84%
I've never seen an Intel
store in my entire life.

00:21:13.040 --> 00:21:15.640 align:middle line:84%
They could care
less about who I am.

00:21:15.640 --> 00:21:18.480 align:middle line:84%
They're not selling
direct to consumer.

00:21:18.480 --> 00:21:20.600 align:middle line:90%
They don't care about B2C.

00:21:20.600 --> 00:21:22.640 align:middle line:90%
They don't even care about B2B.

00:21:22.640 --> 00:21:28.080 align:middle line:84%
They care about B2M,
business to manufacturer.

00:21:28.080 --> 00:21:32.700 align:middle line:84%
So they say, I'm not going
to sell to Johnson & Johnson,

00:21:32.700 --> 00:21:35.238 align:middle line:84%
or I'm not going to sell
to Gillette or Fidelity

00:21:35.238 --> 00:21:37.280 align:middle line:84%
and try to get them to
buy a bunch of Intel stuff

00:21:37.280 --> 00:21:38.113 align:middle line:90%
for their computers.

00:21:38.113 --> 00:21:39.840 align:middle line:90%
I'm going to sell to Dell.

00:21:39.840 --> 00:21:41.760 align:middle line:90%
I'm going to sell to ThinkPad.

00:21:41.760 --> 00:21:43.380 align:middle line:84%
I'm going to sell
to the manufacturer.

00:21:43.380 --> 00:21:45.800 align:middle line:84%
They're going to do
all the work for me.

00:21:45.800 --> 00:21:49.760 align:middle line:84%
So the magic that we actually
have in the world of technology

00:21:49.760 --> 00:21:52.660 align:middle line:84%
is that we have so many
options, which is fantastic.

00:21:52.660 --> 00:21:55.600 align:middle line:84%
So think about different
business model examples

00:21:55.600 --> 00:21:59.160 align:middle line:84%
that just touch you every day,
whether it be new clothing you

00:21:59.160 --> 00:22:02.120 align:middle line:84%
buy, your Apple
Watch or your iPhone,

00:22:02.120 --> 00:22:06.085 align:middle line:84%
a laptop that you purchased, or
some sort of a service that you

00:22:06.085 --> 00:22:07.960 align:middle line:84%
recently picked up
because you read something

00:22:07.960 --> 00:22:10.360 align:middle line:90%
great about it on your phone.

00:22:10.360 --> 00:22:12.860 align:middle line:84%
So let's talk about different
industries and sub-industries,

00:22:12.860 --> 00:22:15.920 align:middle line:84%
because there's lots of ways
to think about business models.

00:22:15.920 --> 00:22:18.410 align:middle line:84%
So the first two examples
I'm going to give you

00:22:18.410 --> 00:22:21.210 align:middle line:84%
are really known
to you, of course.

00:22:21.210 --> 00:22:24.250 align:middle line:84%
And then we're going to talk
about industry specifics.

00:22:24.250 --> 00:22:28.233 align:middle line:84%
So the number one example I
think all of us know is Netflix.

00:22:28.233 --> 00:22:29.650 align:middle line:84%
So for those of
you that remember,

00:22:29.650 --> 00:22:32.370 align:middle line:84%
anybody here
remember Blockbuster?

00:22:32.370 --> 00:22:37.490 align:middle line:84%
I find every year, Joe, the
number of hands goes down.

00:22:37.490 --> 00:22:40.550 align:middle line:84%
I'm getting really old, but this
class stays about the same age,

00:22:40.550 --> 00:22:42.470 align:middle line:84%
so the number of hands
keeps going down.

00:22:42.470 --> 00:22:44.750 align:middle line:84%
But Blockbuster was
absolutely amazing.

00:22:44.750 --> 00:22:47.130 align:middle line:84%
They owned the world
when it came to video.

00:22:47.130 --> 00:22:49.430 align:middle line:84%
And even when
things went to DVD,

00:22:49.430 --> 00:22:52.050 align:middle line:84%
they still had all of
that physical real estate.

00:22:52.050 --> 00:22:53.755 align:middle line:84%
And then the guys in
Netflix came along.

00:22:53.755 --> 00:22:55.130 align:middle line:84%
In fact, there
was a slide I used

00:22:55.130 --> 00:22:57.370 align:middle line:84%
to use in this presentation,
and it was actually

00:22:57.370 --> 00:23:01.290 align:middle line:84%
a billboard that was on Route
101 outside of San Francisco.

00:23:01.290 --> 00:23:03.890 align:middle line:84%
And it said,
"Follow your dreams.

00:23:03.890 --> 00:23:07.690 align:middle line:90%
We used to mail DVDs.

00:23:07.690 --> 00:23:09.210 align:middle line:90%
Netflix."

00:23:09.210 --> 00:23:10.810 align:middle line:90%
And that's what they did.

00:23:10.810 --> 00:23:13.190 align:middle line:84%
The guys at Netflix
figured out, geez,

00:23:13.190 --> 00:23:20.410 align:middle line:84%
the idea of owning 500 or 1,000
shops in strip malls around

00:23:20.410 --> 00:23:24.130 align:middle line:84%
the United States, manning
them with human beings,

00:23:24.130 --> 00:23:27.610 align:middle line:84%
worrying about security,
inventory, shipping, receiving,

00:23:27.610 --> 00:23:29.090 align:middle line:90%
returns.

00:23:29.090 --> 00:23:30.858 align:middle line:90%
Oh my God, that's exhausting.

00:23:30.858 --> 00:23:32.650 align:middle line:84%
Why don't we just put
a bunch of warehouses

00:23:32.650 --> 00:23:35.170 align:middle line:84%
around the United States,
load it up with DVDs,

00:23:35.170 --> 00:23:38.825 align:middle line:84%
and when people want a movie,
we just mail it to them.

00:23:38.825 --> 00:23:40.450 align:middle line:84%
And if they keep it
for a day, so what?

00:23:40.450 --> 00:23:42.533 align:middle line:84%
If they keep it for 10
days, we don't really care.

00:23:42.533 --> 00:23:45.730 align:middle line:84%
We'll just literally
print another movie.

00:23:45.730 --> 00:23:48.650 align:middle line:84%
So that transformed the
entire way that all of us

00:23:48.650 --> 00:23:50.490 align:middle line:84%
thought about movie
rental back then.

00:23:50.490 --> 00:23:52.990 align:middle line:84%
Now, keep in mind, it
was a sign of the times.

00:23:52.990 --> 00:23:55.130 align:middle line:90%
There was no bandwidth.

00:23:55.130 --> 00:23:58.770 align:middle line:84%
If you wanted to download a
movie, when Netflix first came

00:23:58.770 --> 00:24:02.210 align:middle line:84%
out and started shipping
DVDs in an envelope,

00:24:02.210 --> 00:24:06.150 align:middle line:84%
if you wanted to download a
normal feature length film,

00:24:06.150 --> 00:24:09.810 align:middle line:84%
it could take six,
seven hours to download.

00:24:09.810 --> 00:24:12.630 align:middle line:84%
It would take two to three
times the length of the movie

00:24:12.630 --> 00:24:14.260 align:middle line:90%
to download it to your computer.

00:24:14.260 --> 00:24:16.583 align:middle line:84%
It would eat up
all of your memory,

00:24:16.583 --> 00:24:19.000 align:middle line:84%
and then you would watch it,
and then you would delete it,

00:24:19.000 --> 00:24:20.340 align:middle line:90%
and then you would do it again.

00:24:20.340 --> 00:24:23.700 align:middle line:84%
So they realized this download
stuff is just not for us.

00:24:23.700 --> 00:24:26.080 align:middle line:84%
We're going to send
people DVDs on demand.

00:24:26.080 --> 00:24:30.700 align:middle line:84%
Everybody in the world ran
out and bought a DVD player.

00:24:30.700 --> 00:24:34.490 align:middle line:84%
So for companies building
DVD players, it was awesome.

00:24:34.490 --> 00:24:36.240 align:middle line:84%
They were like, oh my
God, this is heaven.

00:24:36.240 --> 00:24:41.300 align:middle line:84%
Netflix literally
built the DVD industry.

00:24:41.300 --> 00:24:44.980 align:middle line:84%
So that was their
business model.

00:24:44.980 --> 00:24:45.900 align:middle line:90%
Convenience.

00:24:45.900 --> 00:24:47.860 align:middle line:90%
No late fees.

00:24:47.860 --> 00:24:50.680 align:middle line:84%
Two days after you order
it on a Tuesday, bang.

00:24:50.680 --> 00:24:53.000 align:middle line:84%
It's at your house on
Wednesday or Thursday.

00:24:53.000 --> 00:24:54.297 align:middle line:90%
You watch it over the weekend.

00:24:54.297 --> 00:24:55.880 align:middle line:84%
Maybe you shared it
with some friends,

00:24:55.880 --> 00:24:57.940 align:middle line:84%
and then you sent it
back in an envelope.

00:24:57.940 --> 00:24:59.053 align:middle line:90%
It was amazing.

00:24:59.053 --> 00:25:01.220 align:middle line:84%
And they then created a
little bit of a subscription

00:25:01.220 --> 00:25:04.300 align:middle line:84%
service where if you paid
a certain amount per month,

00:25:04.300 --> 00:25:08.420 align:middle line:84%
you were able to at any
one time have three DVDs.

00:25:08.420 --> 00:25:10.880 align:middle line:84%
Or if you paid a tiny
bit more per month,

00:25:10.880 --> 00:25:12.740 align:middle line:84%
you were able to have
five or six or seven

00:25:12.740 --> 00:25:15.183 align:middle line:84%
DVDs, which is great if
you have a family that's

00:25:15.183 --> 00:25:17.100 align:middle line:84%
got a bunch of kids who
are watching one thing

00:25:17.100 --> 00:25:19.900 align:middle line:84%
and you have parents that might
be watching something else.

00:25:19.900 --> 00:25:23.520 align:middle line:84%
So they were essentially doing
direct to consumer mailing,

00:25:23.520 --> 00:25:26.060 align:middle line:90%
and they created subscriptions.

00:25:26.060 --> 00:25:28.460 align:middle line:90%
And then the world changed.

00:25:28.460 --> 00:25:32.780 align:middle line:84%
Netflix, like Blockbuster,
could have easily gone bust.

00:25:32.780 --> 00:25:36.940 align:middle line:84%
There's no more
Blockbusters, but Netflix

00:25:36.940 --> 00:25:38.800 align:middle line:90%
could have easily gone bust.

00:25:38.800 --> 00:25:41.880 align:middle line:84%
But they figured out that if
we incorporate technology,

00:25:41.880 --> 00:25:44.780 align:middle line:90%
we can begin to stream movies.

00:25:44.780 --> 00:25:46.840 align:middle line:84%
They didn't abandon their
whole business model.

00:25:46.840 --> 00:25:51.240 align:middle line:84%
They slowly moved into
the streaming service.

00:25:51.240 --> 00:25:53.140 align:middle line:84%
And people were like,
this is fantastic,

00:25:53.140 --> 00:25:54.440 align:middle line:90%
but it's the same company.

00:25:54.440 --> 00:25:56.540 align:middle line:84%
Before they used
to send me a DVD.

00:25:56.540 --> 00:25:58.960 align:middle line:84%
Now I hit a button and
now it streams to me.

00:25:58.960 --> 00:26:01.720 align:middle line:84%
Sometimes you have a little
buffering issue, but it's OK.

00:26:01.720 --> 00:26:05.740 align:middle line:84%
And this is quite
a few years ago.

00:26:05.740 --> 00:26:08.220 align:middle line:84%
Who would have
thought Netflix, which

00:26:08.220 --> 00:26:12.310 align:middle line:84%
was a company that shipped
DVDs and offered streaming

00:26:12.310 --> 00:26:15.390 align:middle line:84%
with lots of buffering
and slow points,

00:26:15.390 --> 00:26:17.190 align:middle line:90%
would become what it is today?

00:26:17.190 --> 00:26:22.030 align:middle line:84%
Think about the business
model that Netflix has today.

00:26:22.030 --> 00:26:26.030 align:middle line:84%
What does Netflix do when you
think about them as a company,

00:26:26.030 --> 00:26:28.370 align:middle line:84%
forgetting about their
original business for a minute,

00:26:28.370 --> 00:26:30.030 align:middle line:90%
how do they make money?

00:26:30.030 --> 00:26:31.790 align:middle line:90%
Who are they competing with now?

00:26:31.790 --> 00:26:33.990 align:middle line:84%
They were competing
with just Blockbuster.

00:26:33.990 --> 00:26:36.590 align:middle line:90%
That was it.

00:26:36.590 --> 00:26:40.150 align:middle line:84%
Tell me what you know about
Netflix besides the fact

00:26:40.150 --> 00:26:42.010 align:middle line:84%
that you can go on
to your Netflix app,

00:26:42.010 --> 00:26:45.550 align:middle line:84%
on to your smart TV, or on your
iPhone or iPad and watch a movie

00:26:45.550 --> 00:26:47.510 align:middle line:84%
or download it for
your plane ride?

00:26:47.510 --> 00:26:51.470 align:middle line:90%
Besides that, what do they do?

00:26:51.470 --> 00:26:52.990 align:middle line:90%
They produce movies.

00:26:52.990 --> 00:26:55.990 align:middle line:84%
Can you imagine
the CEO of Netflix

00:26:55.990 --> 00:27:01.070 align:middle line:84%
back in the days when he was
shipping DVDs to people's homes

00:27:01.070 --> 00:27:03.630 align:middle line:84%
telling his investors,
someday I really want

00:27:03.630 --> 00:27:06.190 align:middle line:90%
to compete against Hollywood.

00:27:06.190 --> 00:27:09.080 align:middle line:90%
You know Paramount, MGM?

00:27:09.080 --> 00:27:11.800 align:middle line:84%
I think I want to
compete against them.

00:27:11.800 --> 00:27:13.560 align:middle line:84%
They would have
thought, dude, you're

00:27:13.560 --> 00:27:15.760 align:middle line:90%
completely out of your mind.

00:27:15.760 --> 00:27:17.400 align:middle line:90%
You ship DVDs.

00:27:17.400 --> 00:27:20.240 align:middle line:84%
This is basically a
mail order company.

00:27:20.240 --> 00:27:23.560 align:middle line:84%
They have now become one of
the most powerful producers

00:27:23.560 --> 00:27:25.680 align:middle line:90%
of content in the world.

00:27:25.680 --> 00:27:28.320 align:middle line:84%
They're winning
awards left and right

00:27:28.320 --> 00:27:32.480 align:middle line:84%
and crushing all of the old
fashioned movie production

00:27:32.480 --> 00:27:35.960 align:middle line:84%
companies and TV
production companies.

00:27:35.960 --> 00:27:38.840 align:middle line:90%
What else do they do?

00:27:38.840 --> 00:27:40.180 align:middle line:90%
What is something new?

00:27:40.180 --> 00:27:41.360 align:middle line:90%
Go ahead.

00:27:41.360 --> 00:27:43.340 align:middle line:84%
AUDIENCE: As of, I
believe, February 1,

00:27:43.340 --> 00:27:47.860 align:middle line:84%
will raise every subscription
price by $1 or $2,

00:27:47.860 --> 00:27:49.160 align:middle line:90%
depending on the level.

00:27:49.160 --> 00:27:51.660 align:middle line:90%
All 315 million of them.

00:27:51.660 --> 00:27:54.680 align:middle line:84%
RICHARD KIVEL: And
even beyond that, they

00:27:54.680 --> 00:28:01.240 align:middle line:84%
then introduced the password
protection non-sharing policy.

00:28:01.240 --> 00:28:04.040 align:middle line:84%
All of the investment community
was like, oh my God, they're

00:28:04.040 --> 00:28:05.440 align:middle line:90%
going to get crushed.

00:28:05.440 --> 00:28:08.200 align:middle line:90%
People are going to run.

00:28:08.200 --> 00:28:11.540 align:middle line:84%
They increased the
number of subscriptions.

00:28:11.540 --> 00:28:14.440 align:middle line:84%
The day they announced
no more password sharing,

00:28:14.440 --> 00:28:17.720 align:middle line:84%
their increase in subscriptions
over the following week

00:28:17.720 --> 00:28:22.120 align:middle line:84%
was something like 18
million new subscribers.

00:28:22.120 --> 00:28:24.640 align:middle line:84%
Because now I can't
give my password out

00:28:24.640 --> 00:28:26.640 align:middle line:84%
to my friend and my
kid and my kid who

00:28:26.640 --> 00:28:28.590 align:middle line:90%
gives it to his girlfriend.

00:28:28.590 --> 00:28:30.340 align:middle line:84%
Now all of a sudden
they're like, oh shit,

00:28:30.340 --> 00:28:32.680 align:middle line:90%
I'll just open my own account.

00:28:32.680 --> 00:28:35.700 align:middle line:84%
So these incremental
increases in subscription,

00:28:35.700 --> 00:28:37.600 align:middle line:90%
which is really hard to do.

00:28:37.600 --> 00:28:41.200 align:middle line:84%
But once it is literally
part of your life,

00:28:41.200 --> 00:28:43.680 align:middle line:84%
you're not going
to give that up.

00:28:43.680 --> 00:28:47.660 align:middle line:84%
And then on top of that,
without even increasing prices,

00:28:47.660 --> 00:28:49.880 align:middle line:84%
they increased revenue
in number of subscribers

00:28:49.880 --> 00:28:54.200 align:middle line:84%
exponentially just by saying
this password sharing thing

00:28:54.200 --> 00:28:56.360 align:middle line:90%
has to be very limited.

00:28:56.360 --> 00:28:58.585 align:middle line:84%
So that is something
else that they have done,

00:28:58.585 --> 00:28:59.960 align:middle line:84%
which I guess you
could say, it's

00:28:59.960 --> 00:29:02.680 align:middle line:84%
not necessarily a new
business model as much

00:29:02.680 --> 00:29:06.770 align:middle line:84%
as it is tweaking and fine
tuning an existing business

00:29:06.770 --> 00:29:09.770 align:middle line:84%
model to become more
profitable without punishing

00:29:09.770 --> 00:29:10.910 align:middle line:90%
the customer very much.

00:29:10.910 --> 00:29:13.490 align:middle line:90%
They didn't double their prices.

00:29:13.490 --> 00:29:17.773 align:middle line:84%
They essentially said normal
cost of business increase,

00:29:17.773 --> 00:29:19.190 align:middle line:84%
but you can't share
your password.

00:29:19.190 --> 00:29:21.930 align:middle line:84%
And most people knew I shouldn't
be sharing my password anyways.

00:29:21.930 --> 00:29:24.470 align:middle line:90%
So they didn't lose anybody.

00:29:24.470 --> 00:29:26.710 align:middle line:84%
They gained something
like 18 million.

00:29:26.710 --> 00:29:27.690 align:middle line:90%
Think about this.

00:29:27.690 --> 00:29:34.350 align:middle line:84%
They have just hit 300
million subscribers this week.

00:29:34.350 --> 00:29:35.390 align:middle line:90%
It was just announced.

00:29:35.390 --> 00:29:36.057 align:middle line:90%
AUDIENCE: Today.

00:29:36.057 --> 00:29:38.290 align:middle line:90%
I think it doubled.

00:29:38.290 --> 00:29:40.530 align:middle line:90%
RICHARD KIVEL: Yeah.

00:29:40.530 --> 00:29:42.610 align:middle line:84%
So you've got a
company that now has--

00:29:42.610 --> 00:29:46.348 align:middle line:84%
we're talking about the
population of the United States.

00:29:46.348 --> 00:29:46.890 align:middle line:90%
I don't know.

00:29:46.890 --> 00:29:48.930 align:middle line:84%
What are we at as
a country, 400?

00:29:48.930 --> 00:29:50.290 align:middle line:90%
Something like that?

00:29:50.290 --> 00:29:53.610 align:middle line:84%
300 million people
are subscribers

00:29:53.610 --> 00:29:55.490 align:middle line:84%
and pay every single
month, whether they

00:29:55.490 --> 00:29:57.050 align:middle line:90%
watch a movie or not.

00:29:57.050 --> 00:29:58.690 align:middle line:90%
I mean, how awesome is that?

00:29:58.690 --> 00:30:01.690 align:middle line:84%
And on top of that, they now
have a market capitalization

00:30:01.690 --> 00:30:05.010 align:middle line:90%
of $400 billion.

00:30:05.010 --> 00:30:07.370 align:middle line:84%
Do you realize
it's kind of nuts.

00:30:07.370 --> 00:30:12.570 align:middle line:84%
That's bigger than the
GDP of most countries.

00:30:12.570 --> 00:30:15.970 align:middle line:84%
Look up the GDP
of Greece, Italy.

00:30:15.970 --> 00:30:19.730 align:middle line:90%
Look up the GDP of Ireland.

00:30:19.730 --> 00:30:23.450 align:middle line:84%
They have valuations
that compete

00:30:23.450 --> 00:30:26.403 align:middle line:90%
with the GDP of big countries.

00:30:26.403 --> 00:30:28.070 align:middle line:84%
Google is probably
the greatest example.

00:30:28.070 --> 00:30:29.650 align:middle line:84%
They're actually
the one that I often

00:30:29.650 --> 00:30:31.950 align:middle line:84%
think of from the standpoint
of competing against GDP,

00:30:31.950 --> 00:30:33.530 align:middle line:90%
against market cap.

00:30:33.530 --> 00:30:35.810 align:middle line:84%
I mean, it's mind boggling
when you think about it.

00:30:35.810 --> 00:30:37.893 align:middle line:84%
But something else that
they've done, because they

00:30:37.893 --> 00:30:39.810 align:middle line:90%
keep changing their model.

00:30:39.810 --> 00:30:42.190 align:middle line:84%
They got into
producing TV shows.

00:30:42.190 --> 00:30:45.510 align:middle line:84%
They then got into producing--
or movies and then TV shows.

00:30:45.510 --> 00:30:47.470 align:middle line:84%
They now have some of
the world's best actors,

00:30:47.470 --> 00:30:49.990 align:middle line:90%
actresses chasing them.

00:30:49.990 --> 00:30:51.850 align:middle line:90%
Can I get in your next show?

00:30:51.850 --> 00:30:54.810 align:middle line:84%
Years ago, no actor
wanted to be in a TV show.

00:30:54.810 --> 00:30:57.470 align:middle line:84%
If you went from
commercials to TV to movies,

00:30:57.470 --> 00:30:59.210 align:middle line:90%
you never went back.

00:30:59.210 --> 00:31:01.660 align:middle line:90%
I'm not doing a series.

00:31:01.660 --> 00:31:04.260 align:middle line:84%
It's to a point now
where you've got people

00:31:04.260 --> 00:31:07.513 align:middle line:84%
like Nicole Kidman, top
actors and actresses saying,

00:31:07.513 --> 00:31:08.680 align:middle line:90%
are you guys doing a series?

00:31:08.680 --> 00:31:09.960 align:middle line:90%
I would love to do a series.

00:31:09.960 --> 00:31:11.100 align:middle line:90%
How cool is that?

00:31:11.100 --> 00:31:15.320 align:middle line:84%
I get to do 20 seasons,
five seasons, 50 episodes,

00:31:15.320 --> 00:31:16.697 align:middle line:90%
whatever the number is.

00:31:16.697 --> 00:31:18.780 align:middle line:84%
It's absolutely incredible
the impact that they've

00:31:18.780 --> 00:31:21.140 align:middle line:84%
had on the industry
and on Hollywood,

00:31:21.140 --> 00:31:23.280 align:middle line:84%
and they started
off mailing DVDs.

00:31:23.280 --> 00:31:24.780 align:middle line:90%
That was their business model.

00:31:24.780 --> 00:31:27.900 align:middle line:90%
Something new that they've done.

00:31:27.900 --> 00:31:28.980 align:middle line:90%
Live events.

00:31:28.980 --> 00:31:31.780 align:middle line:90%
Never before.

00:31:31.780 --> 00:31:33.580 align:middle line:90%
Something else?

00:31:33.580 --> 00:31:36.580 align:middle line:84%
AUDIENCE: They use the
[INAUDIBLE] suggestions and also

00:31:36.580 --> 00:31:38.242 align:middle line:90%
design suggestions.

00:31:38.242 --> 00:31:40.200 align:middle line:84%
RICHARD KIVEL: That's a
really excellent point.

00:31:40.200 --> 00:31:41.960 align:middle line:84%
It goes back to what we
talked about earlier, right?

00:31:41.960 --> 00:31:44.293 align:middle line:84%
It's great that you have
software that does A, B, and C,

00:31:44.293 --> 00:31:45.680 align:middle line:90%
makes life easier.

00:31:45.680 --> 00:31:47.860 align:middle line:84%
It's cool that I can
actually search the hell out

00:31:47.860 --> 00:31:52.100 align:middle line:84%
of this massive library
of movie options,

00:31:52.100 --> 00:31:56.080 align:middle line:84%
but it's actually using
technology, deep learning,

00:31:56.080 --> 00:31:59.940 align:middle line:84%
data mining, AI now
to help me find things

00:31:59.940 --> 00:32:02.820 align:middle line:84%
that are more relevant based
on my own feedback, whether I

00:32:02.820 --> 00:32:06.260 align:middle line:84%
gave it a thumbs up or a thumbs
down after I watched a movie.

00:32:06.260 --> 00:32:08.140 align:middle line:84%
They know if you
started watching a movie

00:32:08.140 --> 00:32:10.900 align:middle line:84%
and then you killed it and
you never went back to it.

00:32:10.900 --> 00:32:12.960 align:middle line:90%
I mean, there's so much data.

00:32:12.960 --> 00:32:15.220 align:middle line:84%
So what you have there
is more personalization,

00:32:15.220 --> 00:32:18.900 align:middle line:84%
which, to use an old
term, is stickiness.

00:32:18.900 --> 00:32:20.700 align:middle line:84%
Of course I'm going
to keep using this,

00:32:20.700 --> 00:32:23.360 align:middle line:84%
because they've
made my life easier.

00:32:23.360 --> 00:32:25.740 align:middle line:84%
And now they're
doing live events.

00:32:25.740 --> 00:32:27.240 align:middle line:84%
Think about what
you're seeing now.

00:32:27.240 --> 00:32:28.940 align:middle line:90%
They have done fights.

00:32:28.940 --> 00:32:32.860 align:middle line:84%
They have done a number of
other type of live events.

00:32:32.860 --> 00:32:35.980 align:middle line:84%
That starts to really
be interesting.

00:32:35.980 --> 00:32:39.380 align:middle line:84%
I mean, could we be watching
the Super Bowl on Netflix

00:32:39.380 --> 00:32:40.322 align:middle line:90%
in five years?

00:32:40.322 --> 00:32:42.780 align:middle line:84%
AUDIENCE: We just watched the
Christmas-- the NFL Christmas

00:32:42.780 --> 00:32:43.725 align:middle line:90%
game.

00:32:43.725 --> 00:32:45.100 align:middle line:84%
Either Christmas
or Thanksgiving.

00:32:45.100 --> 00:32:47.220 align:middle line:90%
RICHARD KIVEL: Yep.

00:32:47.220 --> 00:32:48.340 align:middle line:90%
Absolutely.

00:32:48.340 --> 00:32:50.780 align:middle line:90%
The Tyson fight.

00:32:50.780 --> 00:32:52.860 align:middle line:90%
Think about that.

00:32:52.860 --> 00:32:57.990 align:middle line:84%
So they're essentially modifying
change in their business model.

00:32:57.990 --> 00:32:59.518 align:middle line:90%
They're a great example.

00:32:59.518 --> 00:33:00.810 align:middle line:90%
Next one, of course, is Google.

00:33:00.810 --> 00:33:01.530 align:middle line:90%
This is easy.

00:33:01.530 --> 00:33:02.980 align:middle line:84%
I mean, you've got
a company here,

00:33:02.980 --> 00:33:05.230 align:middle line:84%
and I think this is really
the one that I should refer

00:33:05.230 --> 00:33:10.110 align:middle line:84%
to when I talk about market cap
versus GDP, not so much Netflix.

00:33:10.110 --> 00:33:15.350 align:middle line:90%
But 2.4 trillion market cap.

00:33:15.350 --> 00:33:17.430 align:middle line:90%
That's whack a doodle.

00:33:17.430 --> 00:33:19.153 align:middle line:90%
It doesn't even make sense.

00:33:19.153 --> 00:33:20.570 align:middle line:84%
And what did they
start off doing?

00:33:20.570 --> 00:33:22.670 align:middle line:90%
Search.

00:33:22.670 --> 00:33:23.450 align:middle line:90%
That was it.

00:33:23.450 --> 00:33:24.630 align:middle line:84%
They were going to
build a better search

00:33:24.630 --> 00:33:26.838 align:middle line:84%
algorithm, because there
were a whole bunch of really

00:33:26.838 --> 00:33:29.470 align:middle line:84%
smart people out of Stanford
and elsewhere that said,

00:33:29.470 --> 00:33:31.070 align:middle line:90%
search sucks.

00:33:31.070 --> 00:33:32.450 align:middle line:90%
This just doesn't make sense.

00:33:32.450 --> 00:33:36.210 align:middle line:84%
And humans aren't going
to learn Boolean logic

00:33:36.210 --> 00:33:40.630 align:middle line:84%
and put quotes here, a plus
sign, plus this asterisks.

00:33:40.630 --> 00:33:42.830 align:middle line:84%
We need to come up with
better ways of searching.

00:33:42.830 --> 00:33:45.630 align:middle line:84%
So they brought technology
in and increased

00:33:45.630 --> 00:33:48.110 align:middle line:90%
the value of search.

00:33:48.110 --> 00:33:51.110 align:middle line:84%
And that's all they were
was another search company.

00:33:51.110 --> 00:33:53.150 align:middle line:84%
For those of us that
remember those days,

00:33:53.150 --> 00:33:56.110 align:middle line:90%
there was Lycos, Yahoo!

00:33:56.110 --> 00:33:58.590 align:middle line:84%
Gosh, I can't even
remember all the names.

00:33:58.590 --> 00:33:59.310 align:middle line:90%
Amazing.

00:33:59.310 --> 00:34:04.150 align:middle line:84%
I mean, I think Lycos was
a Boston company, right?

00:34:04.150 --> 00:34:05.370 align:middle line:90%
Unbelievable.

00:34:05.370 --> 00:34:06.870 align:middle line:84%
And I remember at
the time thinking,

00:34:06.870 --> 00:34:09.449 align:middle line:84%
do we need to start
another search engine?

00:34:09.449 --> 00:34:11.830 align:middle line:84%
I mean, this doesn't
even make sense.

00:34:11.830 --> 00:34:13.870 align:middle line:90%
They crushed the search space.

00:34:13.870 --> 00:34:16.647 align:middle line:84%
And they could have stopped
there and still been relevant.

00:34:16.647 --> 00:34:18.730 align:middle line:84%
But then they moved into
other parts of the world.

00:34:18.730 --> 00:34:19.710 align:middle line:84%
What are some of
the other things

00:34:19.710 --> 00:34:21.590 align:middle line:84%
that they have done
from a standpoint

00:34:21.590 --> 00:34:24.350 align:middle line:84%
of transformative
business model changes

00:34:24.350 --> 00:34:27.070 align:middle line:90%
that makes Google relevant?

00:34:27.070 --> 00:34:30.590 align:middle line:84%
How else do all of us
use Google or most of us?

00:34:30.590 --> 00:34:32.070 align:middle line:90%
AUDIENCE: Google Drive.

00:34:32.070 --> 00:34:34.270 align:middle line:84%
RICHARD KIVEL: Google
Docs, Google Drive.

00:34:34.270 --> 00:34:36.906 align:middle line:84%
I don't have to think
about documents.

00:34:36.906 --> 00:34:38.489 align:middle line:84%
Basically, I can go
onto Google Drive,

00:34:38.489 --> 00:34:40.010 align:middle line:84%
boom, use their
Excel spreadsheet,

00:34:40.010 --> 00:34:42.510 align:middle line:90%
save it, live action.

00:34:42.510 --> 00:34:44.929 align:middle line:84%
My team, most of which
is based in Europe,

00:34:44.929 --> 00:34:48.090 align:middle line:84%
can all work on the same Excel
spreadsheet at the same time,

00:34:48.090 --> 00:34:49.330 align:middle line:90%
and it's instantly changing.

00:34:49.330 --> 00:34:53.938 align:middle line:84%
We don't have to keep
version 1.1, version 2.25,

00:34:53.938 --> 00:34:55.480 align:middle line:84%
then I send it off
to this person who

00:34:55.480 --> 00:34:57.280 align:middle line:84%
makes some other
version, and then

00:34:57.280 --> 00:35:00.520 align:middle line:84%
we're missing the changes done
by somebody over the weekend.

00:35:00.520 --> 00:35:01.880 align:middle line:90%
Absolutely incredible.

00:35:01.880 --> 00:35:05.080 align:middle line:84%
So that became another
subscription model,

00:35:05.080 --> 00:35:08.160 align:middle line:84%
another way they demonstrated
their prowess in technology.

00:35:08.160 --> 00:35:10.200 align:middle line:90%
What else does Google do?

00:35:10.200 --> 00:35:11.980 align:middle line:84%
AUDIENCE: Google
Voice or Google Maps,

00:35:11.980 --> 00:35:14.280 align:middle line:84%
both of which I use
12,000 times a day.

00:35:14.280 --> 00:35:15.840 align:middle line:90%
RICHARD KIVEL: Exactly.

00:35:15.840 --> 00:35:17.880 align:middle line:90%
So think about Google Maps.

00:35:17.880 --> 00:35:20.720 align:middle line:90%
Cool, free.

00:35:20.720 --> 00:35:24.680 align:middle line:84%
The data analytics behind Google
Maps is where all the value is.

00:35:24.680 --> 00:35:28.200 align:middle line:84%
They know more about the
Earth than most anyone.

00:35:28.200 --> 00:35:29.900 align:middle line:90%
They know the topography.

00:35:29.900 --> 00:35:35.560 align:middle line:84%
They know which ships
are moving in the ocean.

00:35:35.560 --> 00:35:40.380 align:middle line:84%
They know more about us
than anyone in the world,

00:35:40.380 --> 00:35:43.320 align:middle line:84%
whether it be the fact
that we searched something

00:35:43.320 --> 00:35:45.600 align:middle line:90%
and they now know that about us.

00:35:45.600 --> 00:35:47.680 align:middle line:84%
Google has an
entire group devoted

00:35:47.680 --> 00:35:52.040 align:middle line:84%
to health, global health, that
integrates with global health

00:35:52.040 --> 00:35:55.120 align:middle line:90%
organizations like the NIH.

00:35:55.120 --> 00:35:57.500 align:middle line:84%
If there is an increase
in the number of searches,

00:35:57.500 --> 00:36:01.240 align:middle line:84%
let's say, in the
Pacific Northwest

00:36:01.240 --> 00:36:04.360 align:middle line:90%
around particular symptoms.

00:36:04.360 --> 00:36:08.260 align:middle line:84%
Runny nose, head fever,
puking, you name it.

00:36:08.260 --> 00:36:11.400 align:middle line:90%
Let's say little kid symptoms.

00:36:11.400 --> 00:36:14.680 align:middle line:84%
Once Google starts to see that
trend, then in the Pacific

00:36:14.680 --> 00:36:18.320 align:middle line:84%
Northwest, let's say
Seattle, blah, blah, blah,

00:36:18.320 --> 00:36:22.880 align:middle line:84%
they're starting to see this,
that becomes a biomarker.

00:36:22.880 --> 00:36:25.800 align:middle line:90%
That becomes a data point.

00:36:25.800 --> 00:36:28.120 align:middle line:90%
And they track that.

00:36:28.120 --> 00:36:31.200 align:middle line:84%
And then they can share it
with health organizations

00:36:31.200 --> 00:36:34.000 align:middle line:84%
because they know that the
flu this year hit that part

00:36:34.000 --> 00:36:37.560 align:middle line:90%
of the region really hard.

00:36:37.560 --> 00:36:39.180 align:middle line:90%
And what does that mean?

00:36:39.180 --> 00:36:42.058 align:middle line:84%
Well, it has this
ripple effect of power

00:36:42.058 --> 00:36:43.600 align:middle line:84%
where it's like,
that's cool to know,

00:36:43.600 --> 00:36:46.320 align:middle line:84%
but what if we also let
clinicians know, especially

00:36:46.320 --> 00:36:47.960 align:middle line:90%
pediatricians?

00:36:47.960 --> 00:36:52.210 align:middle line:84%
What if we're able
to then communicate,

00:36:52.210 --> 00:36:56.497 align:middle line:84%
sell our data to
groups like PPD or some

00:36:56.497 --> 00:36:58.830 align:middle line:84%
of the big pharmaceutical
biotech companies like Johnson

00:36:58.830 --> 00:37:01.450 align:middle line:84%
& Johnson that make
over-the-counter medicine

00:37:01.450 --> 00:37:07.210 align:middle line:84%
for kids suffering from the flu
or vomiting or whatever it is?

00:37:07.210 --> 00:37:07.950 align:middle line:90%
Think about that.

00:37:07.950 --> 00:37:11.130 align:middle line:84%
It is an entire shift
in how data collected

00:37:11.130 --> 00:37:13.970 align:middle line:84%
from a company that did
nothing but search now actually

00:37:13.970 --> 00:37:17.810 align:middle line:84%
transforms the way health
is actually treated.

00:37:17.810 --> 00:37:20.990 align:middle line:84%
And when you start to
see severe illnesses,

00:37:20.990 --> 00:37:25.850 align:middle line:84%
you start to see things that are
scary, that information is then

00:37:25.850 --> 00:37:28.450 align:middle line:90%
communicated to the NIH.

00:37:28.450 --> 00:37:32.140 align:middle line:84%
So every year we make
new flu vaccines.

00:37:32.140 --> 00:37:33.890 align:middle line:84%
They've got a pretty
good high probability

00:37:33.890 --> 00:37:35.810 align:middle line:84%
of working, because
many of them,

00:37:35.810 --> 00:37:38.850 align:middle line:84%
they're designed for
multiple strains.

00:37:38.850 --> 00:37:41.250 align:middle line:84%
But sometimes it just
doesn't work so well.

00:37:41.250 --> 00:37:42.810 align:middle line:84%
Once they're able
to identify there's

00:37:42.810 --> 00:37:46.530 align:middle line:84%
a new strain or a strain that
is resistant to a vaccine given

00:37:46.530 --> 00:37:49.572 align:middle line:84%
in that particular region,
action can be taken.

00:37:49.572 --> 00:37:50.280 align:middle line:90%
Think about that.

00:37:50.280 --> 00:37:52.765 align:middle line:90%
It's absolutely mind boggling.

00:37:52.765 --> 00:37:54.140 align:middle line:84%
Think about the
fact that they're

00:37:54.140 --> 00:37:57.260 align:middle line:84%
able to use their satellites and
Google Earth and other things

00:37:57.260 --> 00:38:01.780 align:middle line:84%
to actually help
predict weather.

00:38:01.780 --> 00:38:04.480 align:middle line:84%
There are companies in the
financial service sector,

00:38:04.480 --> 00:38:08.220 align:middle line:84%
and I spent two years myself at
a big hedge fund in Connecticut.

00:38:08.220 --> 00:38:09.960 align:middle line:84%
We looked at data
from everywhere.

00:38:09.960 --> 00:38:11.520 align:middle line:90%
I mean, I'm talking Google data.

00:38:11.520 --> 00:38:13.420 align:middle line:90%
We looked at Palantir data.

00:38:13.420 --> 00:38:17.180 align:middle line:84%
And we made bets, currency
bets and other things,

00:38:17.180 --> 00:38:21.380 align:middle line:84%
based on the fact that we were
able to collect data from, let's

00:38:21.380 --> 00:38:25.060 align:middle line:84%
say, public and non-public
sources around the world.

00:38:25.060 --> 00:38:27.640 align:middle line:84%
If I'm able to see trends
in a particular area,

00:38:27.640 --> 00:38:31.420 align:middle line:84%
I'm able to actually
make decisions.

00:38:31.420 --> 00:38:34.540 align:middle line:84%
How do we predict
or how do we know

00:38:34.540 --> 00:38:38.480 align:middle line:84%
how many cars are going to
be sold in Q2 of this year?

00:38:38.480 --> 00:38:42.100 align:middle line:90%


00:38:42.100 --> 00:38:44.540 align:middle line:90%
AUDIENCE: Registrations.

00:38:44.540 --> 00:38:47.940 align:middle line:84%
RICHARD KIVEL:
Perhaps registrations.

00:38:47.940 --> 00:38:49.900 align:middle line:84%
If I ask you, how do
we know how many cars

00:38:49.900 --> 00:38:53.120 align:middle line:84%
were sold in Q4 of last
year, how do we know?

00:38:53.120 --> 00:38:56.660 align:middle line:90%


00:38:56.660 --> 00:38:57.700 align:middle line:90%
Because what?

00:38:57.700 --> 00:39:00.420 align:middle line:90%
AUDIENCE: [INAUDIBLE]

00:39:00.420 --> 00:39:03.000 align:middle line:84%
RICHARD KIVEL: Yeah, but
also financial reports.

00:39:03.000 --> 00:39:06.220 align:middle line:84%
The CEO stood up at his annual
meeting at the end of Q4

00:39:06.220 --> 00:39:09.980 align:middle line:84%
and said, we're very proud to
announce that blah, blah, blah,

00:39:09.980 --> 00:39:13.500 align:middle line:84%
and this number of SUVs
versus this and profitability.

00:39:13.500 --> 00:39:15.760 align:middle line:84%
It's almost ancient
data at that point.

00:39:15.760 --> 00:39:16.800 align:middle line:90%
It's completely useless.

00:39:16.800 --> 00:39:20.360 align:middle line:84%
You cannot buy a stock based
on how many cars GM, Ford,

00:39:20.360 --> 00:39:24.580 align:middle line:90%
Tesla sold last quarter.

00:39:24.580 --> 00:39:27.060 align:middle line:90%
Trailing data is useless.

00:39:27.060 --> 00:39:29.620 align:middle line:84%
What if I could use satellite
information to actually see

00:39:29.620 --> 00:39:34.060 align:middle line:84%
how many cars are being
shipped out of Japan

00:39:34.060 --> 00:39:37.260 align:middle line:90%
every single day of the year?

00:39:37.260 --> 00:39:39.540 align:middle line:84%
Because I can tell you
this, that if there's

00:39:39.540 --> 00:39:43.380 align:middle line:84%
less ships leaving
the port in Japan,

00:39:43.380 --> 00:39:46.870 align:middle line:84%
that happens to be producing all
of these Japanese cars as one

00:39:46.870 --> 00:39:50.590 align:middle line:84%
example, or German
cars, you name it.

00:39:50.590 --> 00:39:53.910 align:middle line:84%
I can guarantee you that sales
will be down next quarter.

00:39:53.910 --> 00:39:55.710 align:middle line:84%
But nobody reports
on this stuff.

00:39:55.710 --> 00:40:00.790 align:middle line:84%
Because the car dealers know
things are slowing down.

00:40:00.790 --> 00:40:03.030 align:middle line:90%
Interest rates have gone up.

00:40:03.030 --> 00:40:05.710 align:middle line:84%
Perhaps consumers are being
more conservative because we

00:40:05.710 --> 00:40:08.030 align:middle line:84%
have inflation, so
they're keeping their car

00:40:08.030 --> 00:40:09.350 align:middle line:90%
a couple years longer.

00:40:09.350 --> 00:40:13.550 align:middle line:84%
None of that shows up in the
sales data today or yesterday.

00:40:13.550 --> 00:40:17.590 align:middle line:84%
But if you're a car dealer,
like a Herb Chambers,

00:40:17.590 --> 00:40:19.413 align:middle line:84%
and you're looking at
your 15 dealerships

00:40:19.413 --> 00:40:20.830 align:middle line:84%
and you're looking
out of your lot

00:40:20.830 --> 00:40:25.110 align:middle line:84%
and you're seeing umpteen
cars sitting there

00:40:25.110 --> 00:40:27.390 align:middle line:84%
and you think to
yourself, geez, in Q1

00:40:27.390 --> 00:40:29.930 align:middle line:84%
we would have sold this
many, and in Q3 it went down,

00:40:29.930 --> 00:40:32.550 align:middle line:84%
and in Q4, it went
down a little bit.

00:40:32.550 --> 00:40:34.150 align:middle line:90%
What the hell does that mean?

00:40:34.150 --> 00:40:38.230 align:middle line:84%
Well, they do not want
Nissan to suddenly

00:40:38.230 --> 00:40:41.190 align:middle line:90%
deliver them another 90 cars.

00:40:41.190 --> 00:40:43.310 align:middle line:84%
So they call their
Nissan rep and they say,

00:40:43.310 --> 00:40:45.910 align:middle line:84%
we're going to cut it
back to 40 this quarter.

00:40:45.910 --> 00:40:48.790 align:middle line:84%
We'll push the old shit
we have on the lot.

00:40:48.790 --> 00:40:52.070 align:middle line:84%
But nobody in Wall
Street knows that shit

00:40:52.070 --> 00:40:55.370 align:middle line:84%
until the end of the quarter
when the CEO comes out and says,

00:40:55.370 --> 00:40:57.310 align:middle line:90%
we sold less cars.

00:40:57.310 --> 00:40:59.670 align:middle line:84%
Can you imagine you're able
to use satellite technology

00:40:59.670 --> 00:41:03.350 align:middle line:84%
to actually track the number
of ships carrying cars

00:41:03.350 --> 00:41:06.030 align:middle line:90%
and actually predict the future?

00:41:06.030 --> 00:41:09.110 align:middle line:90%
Now, that's a business model.

00:41:09.110 --> 00:41:11.268 align:middle line:84%
That's the kind of stuff
that data is able to do.

00:41:11.268 --> 00:41:12.810 align:middle line:84%
So when you think
about your company,

00:41:12.810 --> 00:41:15.870 align:middle line:84%
think about your business
model, your first business model

00:41:15.870 --> 00:41:17.270 align:middle line:90%
might be simple.

00:41:17.270 --> 00:41:19.110 align:middle line:90%
You're shipping DVDs.

00:41:19.110 --> 00:41:24.190 align:middle line:84%
You're selling this widget to
companies that do presentations.

00:41:24.190 --> 00:41:27.010 align:middle line:84%
You're selling this software
to a logistics company,

00:41:27.010 --> 00:41:29.790 align:middle line:84%
and that logistics company is
going to increase productivity

00:41:29.790 --> 00:41:32.030 align:middle line:90%
by 15%.

00:41:32.030 --> 00:41:35.950 align:middle line:84%
But be prepared because your
business model needs to change.

00:41:35.950 --> 00:41:37.970 align:middle line:84%
You need to become more
valuable to your client,

00:41:37.970 --> 00:41:41.160 align:middle line:84%
more sticky, and more
relevant all of the time.

00:41:41.160 --> 00:41:43.380 align:middle line:84%
So I'll stop there with
those two examples.

00:41:43.380 --> 00:41:45.630 align:middle line:84%
And then just let's talk
about a few other industries.

00:41:45.630 --> 00:41:48.100 align:middle line:84%
Real quick, stop for
questions, feedback,

00:41:48.100 --> 00:41:52.720 align:middle line:84%
comments, anything really crazy
I said that doesn't make sense?

00:41:52.720 --> 00:41:53.980 align:middle line:90%
All right, let's keep moving.

00:41:53.980 --> 00:41:57.040 align:middle line:84%
Let's talk about a
couple of industries.

00:41:57.040 --> 00:41:59.860 align:middle line:84%
And this goes, again, back to
our original pie chart that

00:41:59.860 --> 00:42:02.360 align:middle line:84%
came out of this great book
that's part of this class, which

00:42:02.360 --> 00:42:04.600 align:middle line:84%
is you've got these nine
different things that you have

00:42:04.600 --> 00:42:05.260 align:middle line:90%
to think about.

00:42:05.260 --> 00:42:07.902 align:middle line:90%
And every industry is different.

00:42:07.902 --> 00:42:09.360 align:middle line:84%
If you're in
pharmaceutical, that's

00:42:09.360 --> 00:42:12.155 align:middle line:84%
a hell of a lot different
than the diagnostics industry.

00:42:12.155 --> 00:42:13.780 align:middle line:84%
And if you're in the
diagnostics space,

00:42:13.780 --> 00:42:16.600 align:middle line:84%
it's a heck of a lot different
than the medtech space.

00:42:16.600 --> 00:42:19.340 align:middle line:84%
The medtech people are basically
selling medical technologies.

00:42:19.340 --> 00:42:21.800 align:middle line:84%
It might be hips,
it might be knees,

00:42:21.800 --> 00:42:24.040 align:middle line:84%
it might be an instrument
sitting on a desk.

00:42:24.040 --> 00:42:27.000 align:middle line:84%
The diagnostic people are
actually selling tests.

00:42:27.000 --> 00:42:29.440 align:middle line:84%
The pharmaceutical
people, whether they're

00:42:29.440 --> 00:42:31.940 align:middle line:84%
biotech or pharma, if
they're really core biotech,

00:42:31.940 --> 00:42:34.800 align:middle line:84%
they're building stuff, and
they don't sell anything.

00:42:34.800 --> 00:42:37.880 align:middle line:84%
And then they're hoping that
stuff at phase two or phase

00:42:37.880 --> 00:42:39.760 align:middle line:90%
three gets acquired by pharma.

00:42:39.760 --> 00:42:43.520 align:middle line:84%
And then pharma pushes it out
to their massive sales teams.

00:42:43.520 --> 00:42:45.920 align:middle line:84%
So each of those within
the life science sector

00:42:45.920 --> 00:42:47.760 align:middle line:84%
all have a different
business model.

00:42:47.760 --> 00:42:50.600 align:middle line:84%
So one example I wanted
to give is medtech.

00:42:50.600 --> 00:42:53.000 align:middle line:84%
Because being at
MIT, I spoke to one

00:42:53.000 --> 00:42:55.240 align:middle line:84%
of the panelists that
was up here earlier who's

00:42:55.240 --> 00:42:58.338 align:middle line:84%
doing a company that is
brand new company that's

00:42:58.338 --> 00:43:00.380 align:middle line:84%
going to be spinning out
of one of the labs here,

00:43:00.380 --> 00:43:02.040 align:middle line:90%
Bob Langer's lab.

00:43:02.040 --> 00:43:04.560 align:middle line:84%
And when you think about
that new technology,

00:43:04.560 --> 00:43:07.247 align:middle line:84%
right now, we're just trying
to make proof of concept.

00:43:07.247 --> 00:43:09.080 align:middle line:84%
But when it gets out
into the market, how do

00:43:09.080 --> 00:43:11.960 align:middle line:84%
you ultimately sell
it is really critical.

00:43:11.960 --> 00:43:15.760 align:middle line:84%
Because in fields like medtech,
health care, life sciences,

00:43:15.760 --> 00:43:19.040 align:middle line:84%
you not only need to have
the greatest whiz bang stuff,

00:43:19.040 --> 00:43:22.920 align:middle line:84%
but you need to
think about adoption.

00:43:22.920 --> 00:43:25.840 align:middle line:84%
You need to think about
how do I get the most

00:43:25.840 --> 00:43:30.140 align:middle line:84%
influential prescribers,
doctors, clinicians, surgeons,

00:43:30.140 --> 00:43:35.840 align:middle line:84%
pediatricians, oncologists
to do this and look at it

00:43:35.840 --> 00:43:38.050 align:middle line:84%
and then tell their friends
at the next conference

00:43:38.050 --> 00:43:40.810 align:middle line:84%
they speak at that there's a new
surgical instrument that they're

00:43:40.810 --> 00:43:42.010 align:middle line:90%
using?

00:43:42.010 --> 00:43:45.422 align:middle line:84%
So in this world of medtech,
as an example, and some of you

00:43:45.422 --> 00:43:47.130 align:middle line:84%
all raised your hands
earlier that you're

00:43:47.130 --> 00:43:49.610 align:middle line:84%
in that field of
life sciences, you

00:43:49.610 --> 00:43:53.730 align:middle line:84%
have a problem that most
other industries don't have.

00:43:53.730 --> 00:43:57.650 align:middle line:84%
You need to be able to
first make things work.

00:43:57.650 --> 00:43:59.910 align:middle line:84%
Make sure that it's both
efficacious and safe.

00:43:59.910 --> 00:44:02.250 align:middle line:84%
It works, but it
doesn't kill anybody.

00:44:02.250 --> 00:44:04.130 align:middle line:84%
It's probably a
good combination.

00:44:04.130 --> 00:44:06.690 align:middle line:84%
But even though you have
a great product that works

00:44:06.690 --> 00:44:10.090 align:middle line:84%
and it didn't kill
anybody, nobody

00:44:10.090 --> 00:44:12.290 align:middle line:84%
might write a
prescription for it.

00:44:12.290 --> 00:44:14.930 align:middle line:90%
No doctor may ever even use it.

00:44:14.930 --> 00:44:17.890 align:middle line:84%
And depending what kind of
doctors you're dealing with,

00:44:17.890 --> 00:44:19.530 align:middle line:84%
holy shit, then
your business model

00:44:19.530 --> 00:44:24.463 align:middle line:84%
is even more challenged, because
if you're dealing with surgeons,

00:44:24.463 --> 00:44:25.630 align:middle line:90%
they're pretty cutting edge.

00:44:25.630 --> 00:44:27.450 align:middle line:90%
They love the newest gadgets.

00:44:27.450 --> 00:44:30.450 align:middle line:84%
If you're dealing
with psychiatrists,

00:44:30.450 --> 00:44:34.010 align:middle line:84%
probably not so quick
to adopt new technology.

00:44:34.010 --> 00:44:36.650 align:middle line:84%
They're still using DSM
5 to actually predict

00:44:36.650 --> 00:44:38.663 align:middle line:84%
what the particular
disorder is or disease

00:44:38.663 --> 00:44:40.330 align:middle line:84%
that their patient
has, and then they're

00:44:40.330 --> 00:44:43.650 align:middle line:84%
prescribing very often off
label drugs or drugs that

00:44:43.650 --> 00:44:44.770 align:middle line:90%
are off patent.

00:44:44.770 --> 00:44:47.470 align:middle line:84%
So you have different
types of users.

00:44:47.470 --> 00:44:49.217 align:middle line:84%
Those are the people
you're selling to.

00:44:49.217 --> 00:44:50.550 align:middle line:90%
So you have to think about that.

00:44:50.550 --> 00:44:52.543 align:middle line:84%
In the medtech world,
your business model

00:44:52.543 --> 00:44:54.210 align:middle line:84%
is absolutely critical,
because not only

00:44:54.210 --> 00:44:57.170 align:middle line:84%
do you have to make something
that doesn't kill people

00:44:57.170 --> 00:45:00.430 align:middle line:84%
or makes their life
better and really works,

00:45:00.430 --> 00:45:02.650 align:middle line:84%
but you also have to
figure out how on Earth

00:45:02.650 --> 00:45:04.450 align:middle line:84%
am I going to be
able to pay for this?

00:45:04.450 --> 00:45:06.410 align:middle line:84%
Are they going to be
able to pay for it?

00:45:06.410 --> 00:45:08.690 align:middle line:84%
Is this going to be
a direct to consumer,

00:45:08.690 --> 00:45:11.770 align:middle line:84%
all of us open up our phone
and we get advertisements

00:45:11.770 --> 00:45:13.955 align:middle line:84%
for this gut microbiome
test, and we get

00:45:13.955 --> 00:45:15.330 align:middle line:84%
advertisement for
something else?

00:45:15.330 --> 00:45:20.290 align:middle line:84%
Know your ancestry and you'll
be able to better manage

00:45:20.290 --> 00:45:22.930 align:middle line:90%
your future health.

00:45:22.930 --> 00:45:27.810 align:middle line:84%
Or if you're a person suffering
with cardiovascular issues,

00:45:27.810 --> 00:45:30.342 align:middle line:84%
you may see something
on a commercial.

00:45:30.342 --> 00:45:32.050 align:middle line:84%
But at the end of the
day, if your doctor

00:45:32.050 --> 00:45:35.780 align:middle line:84%
doesn't write a prescription
for that new medication.

00:45:35.780 --> 00:45:38.300 align:middle line:90%
It just doesn't sell.

00:45:38.300 --> 00:45:40.920 align:middle line:84%
So when you think about
your business model,

00:45:40.920 --> 00:45:44.980 align:middle line:84%
it's really important to think
about who are the constituents I

00:45:44.980 --> 00:45:48.020 align:middle line:90%
need to convince?

00:45:48.020 --> 00:45:52.260 align:middle line:84%
It's not as easy as selling
cool t-shirts on eBay or Amazon,

00:45:52.260 --> 00:45:55.380 align:middle line:84%
where I'm just hoping it's cool
enough that people will buy it.

00:45:55.380 --> 00:45:58.740 align:middle line:84%
And if it doesn't, I don't
really have a lot of overhead.

00:45:58.740 --> 00:46:00.520 align:middle line:90%
It is a complex industry.

00:46:00.520 --> 00:46:05.980 align:middle line:84%
It's like selling SaaS platforms
to the automotive industry.

00:46:05.980 --> 00:46:08.680 align:middle line:84%
The automotive industry
doesn't move very fast.

00:46:08.680 --> 00:46:11.420 align:middle line:90%
It doesn't change very quickly.

00:46:11.420 --> 00:46:14.060 align:middle line:84%
And because it's very
big and powerful.

00:46:14.060 --> 00:46:19.500 align:middle line:84%
It probably is hard to
get an automotive company

00:46:19.500 --> 00:46:24.080 align:middle line:84%
to put new technology
into its system,

00:46:24.080 --> 00:46:26.080 align:middle line:84%
because everything's
working just the way it is.

00:46:26.080 --> 00:46:27.955 align:middle line:84%
Yeah, we can make it a
little more efficient,

00:46:27.955 --> 00:46:30.140 align:middle line:84%
but we kind of like
our procurement

00:46:30.140 --> 00:46:32.305 align:middle line:90%
process the way it is.

00:46:32.305 --> 00:46:33.930 align:middle line:84%
If you want to sell
into that industry,

00:46:33.930 --> 00:46:35.790 align:middle line:84%
you need to think about who are
the constituents I'm selling it

00:46:35.790 --> 00:46:36.372 align:middle line:90%
to.

00:46:36.372 --> 00:46:37.830 align:middle line:84%
Versus, let's say,
an industry that

00:46:37.830 --> 00:46:39.990 align:middle line:90%
is right at the cutting edge.

00:46:39.990 --> 00:46:42.030 align:middle line:84%
Software companies
that are looking

00:46:42.030 --> 00:46:45.190 align:middle line:84%
to tweak the finest
little bit of value out

00:46:45.190 --> 00:46:48.392 align:middle line:84%
of how their disparate
teams communicate.

00:46:48.392 --> 00:46:49.850 align:middle line:84%
They're going to
download that app.

00:46:49.850 --> 00:46:51.590 align:middle line:90%
They're going to try it out.

00:46:51.590 --> 00:46:53.990 align:middle line:84%
They're going to do things
at a speed and a pace

00:46:53.990 --> 00:46:56.830 align:middle line:84%
that you wouldn't
normally expect.

00:46:56.830 --> 00:47:02.510 align:middle line:84%
The challenge is that there
might be high switching cost.

00:47:02.510 --> 00:47:04.990 align:middle line:90%
So you've got to challenge that.

00:47:04.990 --> 00:47:08.070 align:middle line:84%
All of us today, we could
sign up for an AT&T contract

00:47:08.070 --> 00:47:10.212 align:middle line:84%
today and get our discounted
iPhone and so forth.

00:47:10.212 --> 00:47:11.670 align:middle line:84%
And then a year
from now, we decide

00:47:11.670 --> 00:47:13.230 align:middle line:90%
we're going to go to T-Mobile.

00:47:13.230 --> 00:47:15.390 align:middle line:90%
Maybe we have to pay a fee.

00:47:15.390 --> 00:47:15.982 align:middle line:90%
No stress.

00:47:15.982 --> 00:47:16.690 align:middle line:90%
Keep your number.

00:47:16.690 --> 00:47:17.950 align:middle line:90%
Go to T-Mobile.

00:47:17.950 --> 00:47:24.870 align:middle line:84%
So that's high switching cost
for the company, low switching

00:47:24.870 --> 00:47:26.990 align:middle line:90%
costs for us.

00:47:26.990 --> 00:47:30.790 align:middle line:84%
And if I'm the one buying stuff,
I like low switching costs.

00:47:30.790 --> 00:47:37.190 align:middle line:84%
If I join this fancy
Equinox fitness center

00:47:37.190 --> 00:47:39.050 align:middle line:84%
and I'm not locked into
a two year contract,

00:47:39.050 --> 00:47:40.925 align:middle line:84%
and I can quickly move
over to something else

00:47:40.925 --> 00:47:44.130 align:middle line:84%
and go to LA Fitness, that's
low switching costs for me.

00:47:44.130 --> 00:47:45.630 align:middle line:90%
I like that.

00:47:45.630 --> 00:47:47.998 align:middle line:84%
But for them it
sucks, because they

00:47:47.998 --> 00:47:49.290 align:middle line:90%
might have tremendous turnover.

00:47:49.290 --> 00:47:51.550 align:middle line:84%
So you have to think
about that as well.

00:47:51.550 --> 00:47:53.050 align:middle line:90%
Who am I selling to?

00:47:53.050 --> 00:47:54.270 align:middle line:90%
What is the differentiation?

00:47:54.270 --> 00:47:58.030 align:middle line:84%
And how do I get them to
keep coming back forever?

00:47:58.030 --> 00:48:01.330 align:middle line:84%
Because for me to be
competitive in my industry,

00:48:01.330 --> 00:48:05.070 align:middle line:90%
I have to have no contract.

00:48:05.070 --> 00:48:07.550 align:middle line:84%
Think about some of these
new mobile phone companies

00:48:07.550 --> 00:48:08.408 align:middle line:90%
out there.

00:48:08.408 --> 00:48:10.950 align:middle line:84%
Who can think about-- what are
a couple of the names you hear

00:48:10.950 --> 00:48:13.430 align:middle line:84%
that are some of these
newfangled phone companies

00:48:13.430 --> 00:48:15.670 align:middle line:84%
out there, one of
which is represented

00:48:15.670 --> 00:48:17.090 align:middle line:90%
by a very famous actor?

00:48:17.090 --> 00:48:20.070 align:middle line:90%


00:48:20.070 --> 00:48:21.390 align:middle line:90%
Mint Mobile.

00:48:21.390 --> 00:48:22.630 align:middle line:90%
And there's a few others.

00:48:22.630 --> 00:48:25.150 align:middle line:90%
Consumer Cellular.

00:48:25.150 --> 00:48:25.970 align:middle line:90%
Think about it.

00:48:25.970 --> 00:48:31.120 align:middle line:84%
Does anybody here
know who Mint Mobile

00:48:31.120 --> 00:48:34.080 align:middle line:90%
uses for their entire network?

00:48:34.080 --> 00:48:35.880 align:middle line:90%
T-Mobile.

00:48:35.880 --> 00:48:36.740 align:middle line:90%
Why would that be?

00:48:36.740 --> 00:48:39.880 align:middle line:84%
Think to yourself,
holy shit, Mint Mobile

00:48:39.880 --> 00:48:43.120 align:middle line:90%
is using the T-Mobile network.

00:48:43.120 --> 00:48:45.520 align:middle line:90%
Why would they do that?

00:48:45.520 --> 00:48:48.080 align:middle line:84%
Because T-Mobile
realized that there's

00:48:48.080 --> 00:48:50.960 align:middle line:84%
a different level
of consumer that

00:48:50.960 --> 00:48:55.360 align:middle line:84%
might want the flexibility
of bring your device,

00:48:55.360 --> 00:48:57.840 align:middle line:84%
no contracts, short
term contracts,

00:48:57.840 --> 00:49:00.200 align:middle line:90%
super cheap on a monthly basis.

00:49:00.200 --> 00:49:02.720 align:middle line:84%
But you're not going
to be able to download

00:49:02.720 --> 00:49:04.160 align:middle line:90%
as quickly as you want.

00:49:04.160 --> 00:49:07.640 align:middle line:84%
There's going to be some
restrictions around bandwidth.

00:49:07.640 --> 00:49:10.960 align:middle line:84%
But your roommate, who's
a T-Mobile customer,

00:49:10.960 --> 00:49:13.440 align:middle line:84%
is probably paying
$70 more a month,

00:49:13.440 --> 00:49:18.240 align:middle line:84%
and they have
ubiquitous connectivity.

00:49:18.240 --> 00:49:19.420 align:middle line:90%
That's a business model.

00:49:19.420 --> 00:49:20.760 align:middle line:90%
Think about that.

00:49:20.760 --> 00:49:23.840 align:middle line:90%
T-Mobile has a business model.

00:49:23.840 --> 00:49:25.300 align:middle line:90%
AT&T has a business model.

00:49:25.300 --> 00:49:26.420 align:middle line:90%
They're almost identical.

00:49:26.420 --> 00:49:28.320 align:middle line:90%
Verizon has a business model.

00:49:28.320 --> 00:49:33.960 align:middle line:84%
In the UK, my phone is
a Virgin Mobile carrier.

00:49:33.960 --> 00:49:35.400 align:middle line:90%
That's their business model.

00:49:35.400 --> 00:49:39.320 align:middle line:84%
But T-Mobile said there's an
entire part of the market that

00:49:39.320 --> 00:49:43.840 align:middle line:84%
we cannot even touch, because
the way we operate in the big

00:49:43.840 --> 00:49:46.860 align:middle line:84%
stores is one year
contracts, fancy phones.

00:49:46.860 --> 00:49:51.440 align:middle line:84%
Lock your ass in, and we're
going to charge you a fortune.

00:49:51.440 --> 00:49:53.280 align:middle line:90%
And they got smart.

00:49:53.280 --> 00:49:56.040 align:middle line:84%
So what you think
about is even companies

00:49:56.040 --> 00:49:59.520 align:middle line:84%
that have a great business model
that's succeeding, in order

00:49:59.520 --> 00:50:04.400 align:middle line:84%
for them to capture an entirely
new part of the market,

00:50:04.400 --> 00:50:07.040 align:middle line:84%
they might have to
reinvent themselves

00:50:07.040 --> 00:50:11.720 align:middle line:84%
or they create a new
brand that they own.

00:50:11.720 --> 00:50:12.980 align:middle line:90%
What's another example?

00:50:12.980 --> 00:50:16.000 align:middle line:84%
Think about this in other
industries, not tech, maybe

00:50:16.000 --> 00:50:22.340 align:middle line:84%
tech, of brands you know that
were known for one thing,

00:50:22.340 --> 00:50:25.490 align:middle line:84%
perhaps, and now they've
got multiple brands

00:50:25.490 --> 00:50:30.170 align:middle line:84%
under the same umbrella to
serve different consumers.

00:50:30.170 --> 00:50:31.248 align:middle line:90%
What's an example?

00:50:31.248 --> 00:50:32.790 align:middle line:84%
How about in the
automotive industry?

00:50:32.790 --> 00:50:35.970 align:middle line:90%


00:50:35.970 --> 00:50:36.890 align:middle line:90%
Who is it?

00:50:36.890 --> 00:50:41.370 align:middle line:84%
AUDIENCE: [INAUDIBLE]
and Lexus primarily.

00:50:41.370 --> 00:50:43.530 align:middle line:84%
RICHARD KIVEL:
And Toyota, right?

00:50:43.530 --> 00:50:45.530 align:middle line:90%
Lexus and Toyota.

00:50:45.530 --> 00:50:48.350 align:middle line:90%
So think about that.

00:50:48.350 --> 00:50:52.770 align:middle line:84%
Toyota dominated
forever, but it was

00:50:52.770 --> 00:50:56.830 align:middle line:84%
considered the car you
bought, middle of the road,

00:50:56.830 --> 00:50:59.130 align:middle line:90%
safe, reliable.

00:50:59.130 --> 00:51:03.010 align:middle line:84%
They knew they were never going
to get the up and coming kick

00:51:03.010 --> 00:51:06.450 align:middle line:84%
ass researcher who was making
$50,000 a year and is now making

00:51:06.450 --> 00:51:08.810 align:middle line:90%
450 a year at Novartis.

00:51:08.810 --> 00:51:12.050 align:middle line:84%
That dude, that woman,
were not buying a Toyota.

00:51:12.050 --> 00:51:14.010 align:middle line:84%
They were buying
the Mercedes or they

00:51:14.010 --> 00:51:16.070 align:middle line:84%
were buying something
else, the Cadillac,

00:51:16.070 --> 00:51:17.955 align:middle line:90%
whatever it was at the time.

00:51:17.955 --> 00:51:20.330 align:middle line:84%
Toyota realized we have an
entire part of the market that

00:51:20.330 --> 00:51:24.930 align:middle line:84%
we cannot even reach,
and they created Lexus.

00:51:24.930 --> 00:51:26.570 align:middle line:90%
Nissan.

00:51:26.570 --> 00:51:29.050 align:middle line:90%
What did Nissan create?

00:51:29.050 --> 00:51:30.010 align:middle line:90%
Infiniti.

00:51:30.010 --> 00:51:31.210 align:middle line:90%
Same thing.

00:51:31.210 --> 00:51:34.170 align:middle line:90%
What did Volkswagen create?

00:51:34.170 --> 00:51:36.690 align:middle line:90%
Acura.

00:51:36.690 --> 00:51:38.197 align:middle line:90%
Audi was an independent brand.

00:51:38.197 --> 00:51:39.030 align:middle line:90%
They may own it now.

00:51:39.030 --> 00:51:40.650 align:middle line:90%
Who the hell knows?

00:51:40.650 --> 00:51:44.030 align:middle line:90%
They created Acura.

00:51:44.030 --> 00:51:44.770 align:middle line:90%
What is it?

00:51:44.770 --> 00:51:46.130 align:middle line:90%
AUDIENCE: [INAUDIBLE]

00:51:46.130 --> 00:51:46.550 align:middle line:90%
RICHARD KIVEL: Oh, yes.

00:51:46.550 --> 00:51:47.092 align:middle line:90%
You're right.

00:51:47.092 --> 00:51:48.170 align:middle line:90%
Absolutely.

00:51:48.170 --> 00:51:48.790 align:middle line:90%
Was it Audi?

00:51:48.790 --> 00:51:51.050 align:middle line:84%
I thought Volkswagen
created a different brand.

00:51:51.050 --> 00:51:53.170 align:middle line:84%
AUDIENCE: They
bought [INAUDIBLE].

00:51:53.170 --> 00:51:54.947 align:middle line:84%
RICHARD KIVEL: Oh,
that's right, they did.

00:51:54.947 --> 00:51:56.030 align:middle line:90%
And that's just different.

00:51:56.030 --> 00:51:58.050 align:middle line:84%
That's a consolidation
in the industry.

00:51:58.050 --> 00:52:00.030 align:middle line:84%
But when you think about
some of these brands,

00:52:00.030 --> 00:52:02.150 align:middle line:84%
think about brands that
we all wear every day.

00:52:02.150 --> 00:52:07.650 align:middle line:84%
Think about Ralph
Lauren as a brand.

00:52:07.650 --> 00:52:09.890 align:middle line:84%
What's under the
umbrella of Ralph Lauren?

00:52:09.890 --> 00:52:13.930 align:middle line:84%
What's at the high level and
lowest level of Ralph Lauren?

00:52:13.930 --> 00:52:15.690 align:middle line:90%
Does anybody know?

00:52:15.690 --> 00:52:19.780 align:middle line:84%
Have you heard of the
brand called Lauren?

00:52:19.780 --> 00:52:20.560 align:middle line:90%
Google it.

00:52:20.560 --> 00:52:24.020 align:middle line:84%
Lauren is like their
bespoke tailored

00:52:24.020 --> 00:52:29.540 align:middle line:90%
$900 for a jacket Lauren.

00:52:29.540 --> 00:52:35.620 align:middle line:84%
The next level down is
Polo by Ralph Lauren.

00:52:35.620 --> 00:52:39.100 align:middle line:84%
You know there's actually
a level above Lauren?

00:52:39.100 --> 00:52:42.140 align:middle line:90%
It's called a Purple Label.

00:52:42.140 --> 00:52:48.080 align:middle line:84%
It is made to order couture
level under Ralph Lauren.

00:52:48.080 --> 00:52:50.820 align:middle line:84%
You know where it is all
the way at the bottom?

00:52:50.820 --> 00:52:54.940 align:middle line:84%
Polo Sport, which is
still a great product.

00:52:54.940 --> 00:53:00.900 align:middle line:84%
But if you're just looking for
a cheap sweatshirt or a zip up

00:53:00.900 --> 00:53:05.122 align:middle line:84%
Polo Sport works great, and it's
part of the Ralph Lauren brand.

00:53:05.122 --> 00:53:06.580 align:middle line:84%
If you're at the
next level, you're

00:53:06.580 --> 00:53:12.060 align:middle line:84%
buying the cute little horse on
your shirt, the $95, $110 zip

00:53:12.060 --> 00:53:13.660 align:middle line:90%
up sweater with the horse.

00:53:13.660 --> 00:53:16.180 align:middle line:90%
Polo by Ralph Lauren.

00:53:16.180 --> 00:53:18.860 align:middle line:84%
You could buy a really
nice jacket for $200.

00:53:18.860 --> 00:53:20.340 align:middle line:90%
The next level, Lauren.

00:53:20.340 --> 00:53:22.780 align:middle line:90%
The next level, Purple.

00:53:22.780 --> 00:53:24.100 align:middle line:90%
Think about that.

00:53:24.100 --> 00:53:26.980 align:middle line:90%
They own your entire life.

00:53:26.980 --> 00:53:29.473 align:middle line:84%
You became loyal to the brand
when you were 17 years old

00:53:29.473 --> 00:53:31.140 align:middle line:84%
and all you could
afford was Polo Sport.

00:53:31.140 --> 00:53:32.940 align:middle line:90%
You thought it was so cool.

00:53:32.940 --> 00:53:35.660 align:middle line:84%
And now you're at the next
level and you're still

00:53:35.660 --> 00:53:38.020 align:middle line:90%
loyal to the brand.

00:53:38.020 --> 00:53:41.060 align:middle line:84%
That's the beauty
of companies that

00:53:41.060 --> 00:53:43.920 align:middle line:84%
think about business
model every single day

00:53:43.920 --> 00:53:47.820 align:middle line:84%
and what is the market segment
that we can capture next.

00:53:47.820 --> 00:53:49.580 align:middle line:84%
So let's move
along a little bit.

00:53:49.580 --> 00:53:51.320 align:middle line:84%
Digital commerce
is always changing.

00:53:51.320 --> 00:53:53.653 align:middle line:84%
I'm going to blast through
these, because this stuff you

00:53:53.653 --> 00:53:54.180 align:middle line:90%
guys know.

00:53:54.180 --> 00:53:56.220 align:middle line:84%
But when I think about
digital commerce,

00:53:56.220 --> 00:53:59.060 align:middle line:84%
because it's changed so much,
not only because bandwidth

00:53:59.060 --> 00:54:02.080 align:middle line:84%
is increased, but now with
the intervention of AI,

00:54:02.080 --> 00:54:04.060 align:middle line:84%
which we'll talk
about, you've got

00:54:04.060 --> 00:54:07.140 align:middle line:84%
all of these new models
that were created.

00:54:07.140 --> 00:54:10.960 align:middle line:84%
Think about Uber
really owns no cars.

00:54:10.960 --> 00:54:15.180 align:middle line:84%
Airbnb doesn't own
any hotel rooms,

00:54:15.180 --> 00:54:17.550 align:middle line:84%
but they have more
rooms controlled

00:54:17.550 --> 00:54:22.390 align:middle line:84%
than the top three hotel
companies in the world combined.

00:54:22.390 --> 00:54:25.790 align:middle line:84%
That sharing economy suddenly
became very, very valuable.

00:54:25.790 --> 00:54:29.030 align:middle line:84%
The personalized economy
is pretty incredible too.

00:54:29.030 --> 00:54:32.027 align:middle line:84%
It's I've got a subscription
to this, and consumers say,

00:54:32.027 --> 00:54:32.610 align:middle line:90%
you know what?

00:54:32.610 --> 00:54:33.210 align:middle line:90%
Surprise me.

00:54:33.210 --> 00:54:35.590 align:middle line:90%
I'll try that out.

00:54:35.590 --> 00:54:38.390 align:middle line:84%
I'll take a shot, because
I already subscribe

00:54:38.390 --> 00:54:40.310 align:middle line:90%
to this particular brand.

00:54:40.310 --> 00:54:41.390 align:middle line:90%
I'll try it.

00:54:41.390 --> 00:54:44.550 align:middle line:84%
Think about companies
like Rent The Runway.

00:54:44.550 --> 00:54:45.910 align:middle line:90%
I'll try it.

00:54:45.910 --> 00:54:47.550 align:middle line:90%
I'll pay my subscription.

00:54:47.550 --> 00:54:52.230 align:middle line:84%
I get this beautiful dress
or five of them sent to me.

00:54:52.230 --> 00:54:52.730 align:middle line:90%
I'll try it.

00:54:52.730 --> 00:54:54.990 align:middle line:84%
If I don't like it,
I just send it back.

00:54:54.990 --> 00:54:57.870 align:middle line:84%
It's not the sharing
economy, but it

00:54:57.870 --> 00:54:59.730 align:middle line:90%
is this personalized economy.

00:54:59.730 --> 00:55:00.770 align:middle line:90%
They know my style.

00:55:00.770 --> 00:55:03.270 align:middle line:90%
I get it sent to me.

00:55:03.270 --> 00:55:06.590 align:middle line:84%
Entirely different models,
but they work so well.

00:55:06.590 --> 00:55:08.150 align:middle line:84%
Certainly the
replenishment economy

00:55:08.150 --> 00:55:10.670 align:middle line:84%
is actually taking
off more and more.

00:55:10.670 --> 00:55:12.550 align:middle line:84%
And these are driven
by the smart sensors

00:55:12.550 --> 00:55:14.560 align:middle line:90%
in all of our lives.

00:55:14.560 --> 00:55:17.520 align:middle line:84%
These are the things that when
you sign up for your Amazon

00:55:17.520 --> 00:55:19.300 align:middle line:84%
account and you do an
Amazon subscription,

00:55:19.300 --> 00:55:22.260 align:middle line:84%
think about it, that's
a replenish economy.

00:55:22.260 --> 00:55:27.480 align:middle line:84%
I know that every 30 days, I
need another box of Cascade

00:55:27.480 --> 00:55:33.280 align:middle line:84%
for my dishwasher, or I need
another something or other

00:55:33.280 --> 00:55:35.680 align:middle line:84%
that will be delivered
to me automatically.

00:55:35.680 --> 00:55:38.240 align:middle line:84%
I don't have to think
about it anymore.

00:55:38.240 --> 00:55:42.520 align:middle line:84%
Refrigerators are now using
RFID and all sorts of other tags

00:55:42.520 --> 00:55:46.178 align:middle line:84%
where you're going to be able
to barcode scan the things that

00:55:46.178 --> 00:55:47.220 align:middle line:90%
are in your refrigerator.

00:55:47.220 --> 00:55:50.220 align:middle line:84%
And when you're out, it just
goes on to your shopping list.

00:55:50.220 --> 00:55:52.000 align:middle line:90%
It's the replenish economy.

00:55:52.000 --> 00:55:55.040 align:middle line:84%
That's an entirely
cool business model.

00:55:55.040 --> 00:55:57.480 align:middle line:84%
Versus the I run
out of shit and go

00:55:57.480 --> 00:56:01.760 align:middle line:84%
to the supermarket economy,
which is pretty much how

00:56:01.760 --> 00:56:03.440 align:middle line:90%
I live still.

00:56:03.440 --> 00:56:04.420 align:middle line:90%
I make a little list.

00:56:04.420 --> 00:56:05.860 align:middle line:84%
Oh, shit, I'm out of
those things again.

00:56:05.860 --> 00:56:06.735 align:middle line:90%
I put it on the list.

00:56:06.735 --> 00:56:08.660 align:middle line:84%
And then at the end
of the week or month,

00:56:08.660 --> 00:56:11.920 align:middle line:84%
I might go over to the
supermarket and buy it.

00:56:11.920 --> 00:56:15.032 align:middle line:84%
I'd much prefer it
show up to my house.

00:56:15.032 --> 00:56:17.240 align:middle line:84%
So think about those little
tweaks in business models

00:56:17.240 --> 00:56:19.480 align:middle line:84%
really work, and
certainly the do it for me

00:56:19.480 --> 00:56:21.920 align:middle line:90%
service economy has exploded.

00:56:21.920 --> 00:56:24.622 align:middle line:84%
Everything from, I mean,
my shirts get dirty,

00:56:24.622 --> 00:56:26.580 align:middle line:84%
I put them in a bag, I
hang it outside my door.

00:56:26.580 --> 00:56:28.145 align:middle line:84%
There's a little
guy in a van shows

00:56:28.145 --> 00:56:29.520 align:middle line:84%
up, boom, takes
them twice a week

00:56:29.520 --> 00:56:31.560 align:middle line:90%
and brings other stuff back.

00:56:31.560 --> 00:56:35.200 align:middle line:84%
But that has now accelerated
into a lot of other industries

00:56:35.200 --> 00:56:36.960 align:middle line:84%
where people are
basically getting

00:56:36.960 --> 00:56:39.960 align:middle line:84%
services that only the
rich could afford 50 or 20

00:56:39.960 --> 00:56:41.440 align:middle line:90%
or 30 years ago.

00:56:41.440 --> 00:56:43.920 align:middle line:90%
And now anybody can do it.

00:56:43.920 --> 00:56:46.400 align:middle line:84%
Think about home
cleaning services.

00:56:46.400 --> 00:56:49.280 align:middle line:84%
I mean, when I was young, no
one had a maid unless they

00:56:49.280 --> 00:56:50.740 align:middle line:90%
were really, really rich.

00:56:50.740 --> 00:56:52.812 align:middle line:90%
They had a cleaning person.

00:56:52.812 --> 00:56:55.020 align:middle line:84%
Then all of a sudden, it
became more and more common.

00:56:55.020 --> 00:56:58.400 align:middle line:84%
And now every time
I open up my phone,

00:56:58.400 --> 00:57:01.760 align:middle line:84%
there's a new ad for some
service, whether it be handyman

00:57:01.760 --> 00:57:03.720 align:middle line:90%
or it be cleaning people.

00:57:03.720 --> 00:57:08.000 align:middle line:84%
I can get my car waxed and
detailed in my driveway.

00:57:08.000 --> 00:57:11.970 align:middle line:84%
So think about whatever
you guys are building.

00:57:11.970 --> 00:57:13.870 align:middle line:84%
How am I going to
get to my consumer?

00:57:13.870 --> 00:57:16.130 align:middle line:90%
Who do I have to convince?

00:57:16.130 --> 00:57:17.350 align:middle line:90%
How do I scale?

00:57:17.350 --> 00:57:20.350 align:middle line:90%
How do I change as times change?

00:57:20.350 --> 00:57:23.690 align:middle line:84%
The hospitality industry, I
think, is one of the most fun.

00:57:23.690 --> 00:57:26.170 align:middle line:84%
For a gazillion years,
we've all basically

00:57:26.170 --> 00:57:28.970 align:middle line:84%
just used travel agents
or we would go online

00:57:28.970 --> 00:57:30.610 align:middle line:90%
and we'd book our trip.

00:57:30.610 --> 00:57:33.490 align:middle line:84%
We'd go and search,
what are the flights?

00:57:33.490 --> 00:57:35.330 align:middle line:90%
What is this, what is that?

00:57:35.330 --> 00:57:37.330 align:middle line:84%
Before you know it, we
pull together our trip.

00:57:37.330 --> 00:57:40.690 align:middle line:84%
Nowadays, what you're seeing is
these incredible technologies

00:57:40.690 --> 00:57:42.010 align:middle line:90%
allowing us--

00:57:42.010 --> 00:57:47.810 align:middle line:84%
you can use ChatGPT and
say, act as a travel agent.

00:57:47.810 --> 00:57:52.330 align:middle line:84%
Design me a six
day trip in Rome.

00:57:52.330 --> 00:57:54.630 align:middle line:90%
I'm very interested in museums.

00:57:54.630 --> 00:57:56.270 align:middle line:90%
I'm interested in science.

00:57:56.270 --> 00:57:58.170 align:middle line:90%
I'm interested in academia.

00:57:58.170 --> 00:58:00.850 align:middle line:84%
I am not interested
in any family events,

00:58:00.850 --> 00:58:04.430 align:middle line:84%
and I want it to be within
this particular area.

00:58:04.430 --> 00:58:04.930 align:middle line:90%
Boom.

00:58:04.930 --> 00:58:06.610 align:middle line:90%
We have that in front of us.

00:58:06.610 --> 00:58:10.130 align:middle line:84%
So the travel industry has
been transformed by technology,

00:58:10.130 --> 00:58:11.570 align:middle line:84%
and now we're
talking about things

00:58:11.570 --> 00:58:17.490 align:middle line:84%
like co-robots in the future,
renewable tourism events.

00:58:17.490 --> 00:58:20.170 align:middle line:84%
What you also have
is space tourism.

00:58:20.170 --> 00:58:22.112 align:middle line:84%
Things that we never
dreamed of before.

00:58:22.112 --> 00:58:23.570 align:middle line:84%
There's a company
that I'm involved

00:58:23.570 --> 00:58:27.090 align:middle line:84%
with that's in Spain
that literally builds

00:58:27.090 --> 00:58:29.690 align:middle line:84%
these massive, bigger
than this room,

00:58:29.690 --> 00:58:32.570 align:middle line:90%
giant monster helium balloons.

00:58:32.570 --> 00:58:37.390 align:middle line:84%
And they have this capsule
and it goes to whatever orbit

00:58:37.390 --> 00:58:38.390 align:middle line:90%
it particularly goes to.

00:58:38.390 --> 00:58:41.890 align:middle line:84%
You can see the entire
curvature of the Earth.

00:58:41.890 --> 00:58:44.690 align:middle line:84%
Who would have thought that
would be a business model?

00:58:44.690 --> 00:58:46.610 align:middle line:84%
But you have companies
that are creating

00:58:46.610 --> 00:58:49.090 align:middle line:84%
new technologies and
new business models

00:58:49.090 --> 00:58:51.530 align:middle line:84%
and becoming very,
very successful because

00:58:51.530 --> 00:58:53.210 align:middle line:90%
of the changes in that industry.

00:58:53.210 --> 00:58:55.370 align:middle line:90%
And AI will change everything.

00:58:55.370 --> 00:58:57.467 align:middle line:84%
So I'm going to close with
a few comments on this.

00:58:57.467 --> 00:58:59.050 align:middle line:84%
When you think about
AI, which I think

00:58:59.050 --> 00:59:01.383 align:middle line:84%
is touching all of our lives,
whether you're in medtech,

00:59:01.383 --> 00:59:06.330 align:middle line:84%
you're in energy, think about
this entire value chain.

00:59:06.330 --> 00:59:08.920 align:middle line:84%
Most of us, including myself,
when I think about AI,

00:59:08.920 --> 00:59:11.420 align:middle line:90%
I think about NVIDIA.

00:59:11.420 --> 00:59:13.380 align:middle line:84%
They're on the
back end somewhere.

00:59:13.380 --> 00:59:19.540 align:middle line:84%
And I'm using ChatGPT or I'm
using someone else's GPT.

00:59:19.540 --> 00:59:23.740 align:middle line:84%
But when you're thinking about
your company, where do you fit?

00:59:23.740 --> 00:59:27.220 align:middle line:84%
If you're an AI company
or you're just a company

00:59:27.220 --> 00:59:31.180 align:middle line:84%
using AI to reach new
markets, where do you fit?

00:59:31.180 --> 00:59:33.140 align:middle line:84%
I mean, the data
center infrastructure

00:59:33.140 --> 00:59:35.860 align:middle line:90%
is a phenomenal area right now.

00:59:35.860 --> 00:59:38.220 align:middle line:84%
And it's not just
big data centers.

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There's a company in
Europe that we due

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diligence the hell out of.

00:59:42.080 --> 00:59:43.600 align:middle line:90%
We ultimately passed on it.

00:59:43.600 --> 00:59:48.380 align:middle line:84%
But they're building massive
data centers in Norway.

00:59:48.380 --> 00:59:52.300 align:middle line:84%
The weather there happens
to be pretty cold and dark

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most of the year.

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A fantastic place
to put a massive,

00:59:57.940 --> 01:00:01.100 align:middle line:84%
five football field
sized data center.

01:00:01.100 --> 01:00:05.500 align:middle line:84%
Lots of land, very cool air,
low cost from the standpoint

01:00:05.500 --> 01:00:07.420 align:middle line:90%
of air conditioning.

01:00:07.420 --> 01:00:10.880 align:middle line:84%
So think about, hey, data
centers, that's a business,

01:00:10.880 --> 01:00:12.620 align:middle line:90%
but that's not a business model.

01:00:12.620 --> 01:00:14.985 align:middle line:84%
Data centers in Norway
using renewable energies

01:00:14.985 --> 01:00:16.360 align:middle line:84%
with funding from
the government,

01:00:16.360 --> 01:00:18.780 align:middle line:84%
now we're starting to talk
about a business model.

01:00:18.780 --> 01:00:20.580 align:middle line:84%
And a contract with
NVIDIA that gives us

01:00:20.580 --> 01:00:25.940 align:middle line:84%
these particular computers that
are able to actually process.

01:00:25.940 --> 01:00:28.420 align:middle line:84%
So think about where
you want to be.

01:00:28.420 --> 01:00:31.040 align:middle line:84%
Most people are actually
at the app side.

01:00:31.040 --> 01:00:32.620 align:middle line:84%
That's normally
where I think of.

01:00:32.620 --> 01:00:34.800 align:middle line:84%
As a consumer,
what app can I use

01:00:34.800 --> 01:00:37.980 align:middle line:84%
that's going to be powered
by this infrastructure?

01:00:37.980 --> 01:00:41.600 align:middle line:84%
So OpenAI we're all familiar
with and Anthropic and Azure,

01:00:41.600 --> 01:00:44.900 align:middle line:84%
and then you've got the cloud
companies like AWS, all of which

01:00:44.900 --> 01:00:46.640 align:middle line:90%
are the data center side.

01:00:46.640 --> 01:00:48.247 align:middle line:84%
And then you've got
all of the apps.

01:00:48.247 --> 01:00:50.080 align:middle line:84%
In fact, when you even
go to the next level,

01:00:50.080 --> 01:00:53.260 align:middle line:84%
if you take a look at
AI tools and revenues,

01:00:53.260 --> 01:00:57.340 align:middle line:84%
what you ultimately see is
that here's just a snapshot.

01:00:57.340 --> 01:01:02.580 align:middle line:84%
ChatGPT on the left all the
way to Pictoria, Leonardo.AI.

01:01:02.580 --> 01:01:04.410 align:middle line:90%
I use this thing called Otter.

01:01:04.410 --> 01:01:05.942 align:middle line:90%
Anybody ever hear of Otter?

01:01:05.942 --> 01:01:07.150 align:middle line:90%
Isn't that the coolest thing?

01:01:07.150 --> 01:01:08.390 align:middle line:90%
I'm telling you.

01:01:08.390 --> 01:01:10.170 align:middle line:84%
I'm actually able
to sit in meetings,

01:01:10.170 --> 01:01:11.870 align:middle line:84%
and I'm in a lot
of Zoom meetings,

01:01:11.870 --> 01:01:13.870 align:middle line:90%
and actually pay attention.

01:01:13.870 --> 01:01:16.690 align:middle line:84%
Whereas before I was listening,
writing, listening, writing.

01:01:16.690 --> 01:01:19.070 align:middle line:84%
I was trying to
be my own scribe.

01:01:19.070 --> 01:01:20.550 align:middle line:84%
Or I'd have someone
from my office

01:01:20.550 --> 01:01:22.830 align:middle line:84%
would dial into the meeting,
and that was their job.

01:01:22.830 --> 01:01:27.070 align:middle line:84%
Now, otter.ai, Otter AI
just joins the meeting.

01:01:27.070 --> 01:01:28.870 align:middle line:84%
That's it, sits
in the background,

01:01:28.870 --> 01:01:31.270 align:middle line:84%
and it transcribes
every single word that's

01:01:31.270 --> 01:01:32.610 align:middle line:90%
being said in the meeting.

01:01:32.610 --> 01:01:35.750 align:middle line:84%
And as soon as the voice
of the person changes,

01:01:35.750 --> 01:01:38.650 align:middle line:84%
it changes to speaker two,
speaker four, speaker two,

01:01:38.650 --> 01:01:39.910 align:middle line:90%
speaker seven.

01:01:39.910 --> 01:01:41.250 align:middle line:90%
It's absolutely incredible.

01:01:41.250 --> 01:01:42.370 align:middle line:90%
And then it uses AI.

01:01:42.370 --> 01:01:44.550 align:middle line:90%
So it's not just a transcript.

01:01:44.550 --> 01:01:46.170 align:middle line:90%
A transcript has limited value.

01:01:46.170 --> 01:01:50.270 align:middle line:84%
I don't really want to read an
hour long meeting transcript.

01:01:50.270 --> 01:01:53.190 align:middle line:84%
It then uses AI and it
creates a summary for me,

01:01:53.190 --> 01:01:56.630 align:middle line:84%
and then it creates
an action item for me.

01:01:56.630 --> 01:01:59.830 align:middle line:84%
So it can hypothesize
from the meeting

01:01:59.830 --> 01:02:03.990 align:middle line:90%
what actions were to be taken.

01:02:03.990 --> 01:02:06.310 align:middle line:84%
PowerPoint presentation
to be sent.

01:02:06.310 --> 01:02:08.230 align:middle line:84%
Excel spreadsheet
to be reviewed.

01:02:08.230 --> 01:02:12.510 align:middle line:84%
Follow up email related
to meeting in June.

01:02:12.510 --> 01:02:14.750 align:middle line:90%
It's absolutely incredible.

01:02:14.750 --> 01:02:18.550 align:middle line:84%
So on the app side, the
opportunities are incredible.

01:02:18.550 --> 01:02:20.230 align:middle line:84%
And being able to
use and leverage AI

01:02:20.230 --> 01:02:21.950 align:middle line:90%
is going to change your life.

01:02:21.950 --> 01:02:24.850 align:middle line:84%
So let me end with
this, pitfalls.

01:02:24.850 --> 01:02:26.755 align:middle line:90%
Don't overcomplicate things.

01:02:26.755 --> 01:02:29.130 align:middle line:84%
Make sure that you really
understand the market dynamics.

01:02:29.130 --> 01:02:30.547 align:middle line:84%
I probably gave a
lot of examples,

01:02:30.547 --> 01:02:32.070 align:middle line:90%
whether it be medtech or others.

01:02:32.070 --> 01:02:35.830 align:middle line:84%
And really be flexible.
s companies that survive

01:02:35.830 --> 01:02:38.310 align:middle line:84%
are the ones that see the
future and they really

01:02:38.310 --> 01:02:39.650 align:middle line:90%
think about changing.

01:02:39.650 --> 01:02:41.310 align:middle line:90%
So you have to be adaptable.

01:02:41.310 --> 01:02:44.190 align:middle line:84%
And thank you very
much for listening.

01:02:44.190 --> 01:02:47.540 align:middle line:90%
[APPLAUSE]

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