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- <silence> Hello everyone.

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I'm Brian Zimmerman, a VP client, content

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and Strategy at Becker's Healthcare.

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Thank you for tuning into the
Becker's Healthcare podcast.

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Today's conversation.

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I am joined by Jonathan Kaufman,

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chief Marketing Officer at Sage Dental.

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Jonathan, thank you so
much for being here today.

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- Yeah, my pleasure. Thanks for having me.

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- So, and, and to get us started here,

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can you just introduce
yourself, uh, share,

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share a a bit about your,
your, what you're doing

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as Chief Marketing Officer
at Sage Dental and,

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and a bit about Sage Dental as well,

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so listeners can really
appreciate your perspective here.

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- Yeah, of course. Uh,
my name's John Kaufman.

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I'm the Chief Marketing Officer of Sage.

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I've been here for about five years.

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Been in the dental space for about 10.

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Served as Chief marketing
officer at another DSO,

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um, in Texas.

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Before that, I mean,
my, my focus at SAGE is

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both marketing strategy,

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but also technology, um,
technology application, which is,

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you know, kind of
apropos to the, the topic

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that we're discussing.

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Um, Sage Dental is, uh, just
under 120 dental practices.

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We've grown in the last
three years from 60.

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So we've actually doubled in
size in, uh, three years, just,

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uh, as we got outta Covid.

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You know, we are a consistently
branded DSO organization,

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so all of our practices are Sage Dental.

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Um, there are a few that
are not, and that's simply

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because we've just
completed, uh, an acquisition

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and they're, they're
not quite rebranded yet.

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Um, but we, we don't just kind
of brand everything the same.

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Um, everything is on
a consistent platform,

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gives us consistency in technology

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and messaging, um, in, uh,

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patient experience, whatever it might be.

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And, you know, we like
to think of ourselves

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as very tech forward in terms of the, uh,

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the patient experience.

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And we've got a, a great, uh,
set of providers that offer,

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you know, general hygiene,
specialty, endo, ortho,

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oral surgery, uh, perio,
pedo, you name it.

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Um, so just, I, I like
to think of ourselves

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as a tech Ford very well-rounded
all dentistry in one

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place, uh, organization.

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- Perfect. It's great background for folks

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that help understand, especially

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around this technology components,

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which we are gonna dig
into quite a bit today.

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And, and, and specifically
wanna begin here

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by really focusing on
artificial intelligence.

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So of course, um,

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if you're having a
conversation about technology

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and healthcare today,
artificial intelligence

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is, is definitely coming up.

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And, uh, curious to how,
how you would describe

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how you're seeing ai, this AI trend sort

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of play out in the dental
space specifically?

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- Yeah, I mean the AI
question, it's such a, a,

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a loaded descriptor 'cause so
much is just not ai, right?

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So much is augmented reality,

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and I don't think it's
just in the dental space

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that you see <laugh>
that topic coming up and,

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and not just in healthcare.

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I mean, I don't think you
can have a conversation

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with anyone these days
without talking about chat GPT

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or using the, the term

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- Ai.

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That is fair. But it's
certainly fair. Yes.

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- Um, but how's it playing
out in the dental space?

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I mean, it's playing out
fragmented is how it's playing out.

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So I think the most developed type

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of AI that is being utilized
most broadly right now

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is likely, you know, diagnostics
from radiographs, right?

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So not a new technology,

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but a new technology as it
applies to dentistry, right?

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The ability to scan a, a huge volume

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of patient x-rays

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and provide insights to, you
know, what type of issues

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that that patient, uh,
has with their teeth.

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It's interesting because
the technology is,

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that is evolving so rapidly, right?

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I mean, if you think about, you know,

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Google's been using this kind
of, um, image automation and

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and image AI for a long
time, so of other vendors,

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but it's really being
applied to dentistry.

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And I think while the
technology itself is not new,

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its application to dentistry is new

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and it's the most broadly adopted,

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and now it's, you know,
it's being iterated, right?

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So how can we bring those
tentacles of, of radiograph, um,

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diagnostics into, um, insur, you know,

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automating insurance claims
or communicating to patients.

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So I think, you know, that's,

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that's the biggest trend I've seen.

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I think we've seen, you know,
companies like Pearl Nvidia

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and, and others that are kind
of trailblazing that path.

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Um, you know,

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earlier on it was kind
of the dental monitoring.

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I think they go by dental mind
now, um, where it was a lot

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of increased convenience for
patients by looking at, uh,

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patient images from home

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for ortho cases using dental monitoring

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or visualizing a new smile.

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But I'm seeing a lot more
also pop up around a lot

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of different, uh, vendors and how they,

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or, uh, you know, it, it may
not be a marketing vendor,

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it may be a, um, a clinical
vendor that is starting to adapt

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that to, okay, how can we better
communicate to the patient?

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How can we turn some of the components

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of this radiographic identification

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or treatment design into
kind of marketing tools

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and conversion tools and other things.

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So I think that's probably the
biggest kind of broadly, um,

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adopted trend right now.

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I think we'll see other things,
more robotic automation.

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Um, we just met with a
group that's doing, um,

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robotic implant implementation,
and it's a bad analogy,

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but it's, it's similar to, uh,

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kinda laparoscopic surgery
except without the surgeon

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actually, you know, doing the,

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the laparoscopic type surgery.

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It's, it's truly robotic.

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And I think that's few
years away in terms of, um,

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how AI will define that.

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But it's definitely, there's
some other things coming.

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- Yeah, certainly. And, and,

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and you really nailed down on
sort of a lot of, some of the,

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um, the ways that AI
can change some of the

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clinical elements of dentistry.

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Um, and it certainly alluded
to also the way some of

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that is then going to,
um, trickle into or affect

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and be used in, in marketing.

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So I, I guess I want to ask
you what other opportunities

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or challenges are coming
up around AI in, in,

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in the dental industry, um,

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and thinking here
specifically about sort of

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that marketing component
that you, you sort of alluded

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to in in your last answer there,

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because of course the, there's
a lot of talk broadly about

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how AI's going transform many industries.

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And, uh, thinking about the
marketing in the broadest sense,

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there's a lot of talk about how AI is

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going to transform marketing.

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So curious to hear your take
on, on the opportunities

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and challenges in this
space, um, in, in terms

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of AI marketing in, in
the dental industry,

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and anything else you you wanna highlight

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and any other challenges or opportunities

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you wanna flag for listeners?

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- Yeah, I mean, that, that's
a big question, right?

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So I think the first
part of it is challenges.

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I think, I think the biggest
challenge for its application

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and clinical is both the adoption
from the providers, right?

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Getting a provider trained

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and comfortable with
something that they've,

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they've perhaps never used or
had to rely on for many years.

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Um, and I think the second part

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of the challenge is the
fragmentation i, I kind

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of talked about earlier, right?

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Um, it's, it's, there's a
lot of fragmented, um, tools.

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And in dentistry, I think
many of your listeners will,

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will agree, you know, there's a lot

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of fragmented tools not in ai, right?

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A lot of our practice management
systems, a lot of our, um,

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supply systems, what,
whatever it might be, right?

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Um, there's a lot of fragmentation.

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Um, you know, I think
dentistry represents about 3%

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of the total healthcare market.

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So a lot of that investment
in systems is done outside

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of the dental, um, the, the
dental vertical, if you will.

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So I think part of the
challenge is, um, is A,

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getting the provider to adopt it,

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and b um,

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once the new system is out,
how do you then implement

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that seamlessly into the variety

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of fragmented practice
management systems, um,

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and other tools that are out there?

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So I think, um, I think
that's probably right now the,

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the biggest hurdle, um,
I think the, the kind

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of the tertiary hurdle around
that is patients, right?

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Um, how comfortable are
patients with, um, these types

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of technologies leaning on
these types of technologies?

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We've got several, you know,
studies that we've looked at

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that show that, you
know, patients expect it.

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Then we've got several that show

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that patients could care less, right?

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And so I think that there's, um,

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the adoption phase I think is going

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to take a little bit more
time from the patient side.

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Um, so I think, I think
those are the, the big, um,

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the big hurdles from a clinical side.

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Now to your second question,
in terms of marketing, um, I,

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I'm gonna stick to like,
dental specific marketing

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because if I go outside of that
realm, I'm gonna, you know,

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be vomiting up the chat GPTs and,

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and all these other kind of
tools, um, that are out there.

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I think a good example
though is to use chat GPT.

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So I think that for those
people that have used chat, GPT

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or other types of tools,
they'll note that, you know,

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if you write, uh, some sort of prose

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or email or whatever, right?

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And you, you give it a lot of
bullet points and directions,

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and you input that into chat
GPT, it's going to output

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for you, you know, the
tone, um, the, the content,

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the substance, it's just gonna clean

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it up and make it sound better.

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And, and that's great.

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If you just say, you know, to
chat GPT without any context,

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write me an email, you
know, as a response to

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this email I got from this person.

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You know, it, it may
have all the information,

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but it doesn't have the context
or, um, you know, the tone

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and, and it can, it can
seem constructed, right?

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And I think that applies
to where marketing is

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with AI right now in terms
of the dental space, which is

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that, um, you, you gotta be really careful

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not to utilize some of
these marketing tools as the

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complete solution set,

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but like the clinical side as
an augment to, um, you know,

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the original diagnosis, the
original di uh, marketing plan

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or marketing message

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or whatever, it's, I think that the,

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the innovations are gonna come from, i,

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I think the greatest innovations

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for the marketing side
using AI are going to come

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again, focused on dental.

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They're gonna come from
the use of these tool sets

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and how these tool sets can, um, allow you

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to better communicate with your patient.

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So let's just use clinical
diagnostics, right?

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If I've got three years of
radiographs from a patient

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and that patient has consistently, um,

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or we've seen consistent
deterioration in, you know, part

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of their mouth or, or one of their teeth

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or whatever it might be, right?

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And they've, they've just,
you know, always kind

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of taken the, the
insurance provided cleaning

243
00:11:29,445 --> 00:11:31,105
or whatever it might be, right?

244
00:11:31,225 --> 00:11:34,905
I think the, the evolution for
marketing is going to be to

245
00:11:35,975 --> 00:11:38,345
have that so that you can, you can utilize

246
00:11:38,345 --> 00:11:40,985
that in an automated fashion
to communicate to the patient

247
00:11:41,175 --> 00:11:45,025
with education to say,
look, you're, you're kind of

248
00:11:45,725 --> 00:11:47,025
not wanting to do this.

249
00:11:47,405 --> 00:11:50,265
I'm making this up, but
thousand dollar crown, right?

250
00:11:50,275 --> 00:11:53,725
Which you need if you
don't do that, right?

251
00:11:53,895 --> 00:11:58,005
Based on the progression of
the deterioration, you know,

252
00:11:58,005 --> 00:12:00,325
this is gonna be an
extraction in implant in

253
00:12:00,325 --> 00:12:01,365
two years, right?

254
00:12:01,545 --> 00:12:04,605
And so that's gonna be a $5,000 expense.

255
00:12:05,225 --> 00:12:08,285
So, you know, it's gonna be
important that you address this

256
00:12:08,345 --> 00:12:09,365
and you address this now.

257
00:12:09,505 --> 00:12:13,845
And I think we're not, we're
nowhere near being able to do

258
00:12:13,845 --> 00:12:16,445
that with, with automation
sophistication yet.

259
00:12:16,445 --> 00:12:19,045
But I think that that's
where things get exciting.

260
00:12:19,645 --> 00:12:20,805
I also think

261
00:12:21,235 --> 00:12:23,805
that things will get exciting
just on the visual side, and,

262
00:12:23,805 --> 00:12:25,325
and they're already
starting to a bit where

263
00:12:26,105 --> 00:12:28,565
you can essentially say
to your patient, you know,

264
00:12:28,565 --> 00:12:29,685
what smile do you want?

265
00:12:30,315 --> 00:12:31,965
What do you want this to look like? Right?

266
00:12:32,065 --> 00:12:33,405
And they can visualize that,

267
00:12:34,195 --> 00:12:36,695
and that allows patients to
actually say, oh, this is

268
00:12:36,695 --> 00:12:38,535
where I can be, and this
is the treatment plan

269
00:12:38,535 --> 00:12:42,535
that will essentially get
me, um, get me to that place.

270
00:12:42,675 --> 00:12:44,175
So, um, you know,

271
00:12:44,175 --> 00:12:46,615
and then there's other
stuff in terms of, you know,

272
00:12:46,685 --> 00:12:49,095
patient communication as it relates

273
00:12:49,155 --> 00:12:51,255
to phone calls or chat, right?

274
00:12:51,415 --> 00:12:54,695
I mean, we've all spent the
time, uh, you know, whether

275
00:12:54,955 --> 00:12:57,335
and not to, you know, say
anything bad about at and t,

276
00:12:57,335 --> 00:13:00,095
but we've all, we've all
gone on the robocall with at

277
00:13:00,095 --> 00:13:03,095
and t where, you know, we're
going through the IVR system

278
00:13:03,155 --> 00:13:06,055
and listening to their automated voice.

279
00:13:06,295 --> 00:13:08,855
I think, I think there's some
exciting things coming in

280
00:13:08,855 --> 00:13:11,575
terms of, uh, actually human interaction

281
00:13:11,575 --> 00:13:13,735
or human-like interaction with phone calls

282
00:13:14,235 --> 00:13:18,175
and, um, appointment setting and chat bots

283
00:13:18,175 --> 00:13:21,535
and things like that that just
allow you to do so much more,

284
00:13:21,795 --> 00:13:24,255
um, within a healthcare
sphere that's, you know,

285
00:13:24,305 --> 00:13:27,095
HIPAA compliant and PCI
come all these things

286
00:13:27,095 --> 00:13:28,295
that you need with healthcare.

287
00:13:28,315 --> 00:13:30,335
And I think those are, those
are the exciting things.

288
00:13:30,635 --> 00:13:32,575
And of course, there's the
other ones where, you know,

289
00:13:32,575 --> 00:13:35,695
you can ideate some creative
messaging through chat GPT,

290
00:13:35,755 --> 00:13:38,375
but, um, that, that's
kind of where I think, um,

291
00:13:38,375 --> 00:13:39,375
there's some excitement

292
00:13:39,375 --> 00:13:40,895
and there's some, some
innovation happening.

293
00:13:41,155 --> 00:13:44,415
And that is, that is by the way, a, um,

294
00:13:45,095 --> 00:13:46,895
a very long answer,
<laugh> to your question,

295
00:13:47,215 --> 00:13:48,215
- <laugh>.

296
00:13:48,215 --> 00:13:50,055
Well, it, it was a very big question as,

297
00:13:50,155 --> 00:13:51,335
as you noted at the top,

298
00:13:51,395 --> 00:13:55,375
but I think you, you
navigated def deftly, um, the,

299
00:13:55,615 --> 00:13:57,335
I wanna focus in more on the, on the,

300
00:13:57,335 --> 00:13:59,895
on the patient again here,
as you sort of alluded to,

301
00:13:59,895 --> 00:14:02,615
in a lot of ways, this could
affect a patient in terms

302
00:14:02,735 --> 00:14:04,175
of education and communication.

303
00:14:04,755 --> 00:14:06,575
Um, can, can you share anything else about

304
00:14:06,575 --> 00:14:09,895
how you anticipate this,
the application of AI will,

305
00:14:09,965 --> 00:14:12,215
will affect the patient, any
other things to share there?

306
00:14:12,215 --> 00:14:14,735
And then of course, if it
affects the patient, it stands

307
00:14:14,735 --> 00:14:17,615
to reason like your, the example
you gave about the crown,

308
00:14:17,715 --> 00:14:19,415
the crown, it stands to reason

309
00:14:19,415 --> 00:14:23,015
that if you're education
educating patients more about this

310
00:14:23,015 --> 00:14:26,095
sort of thing, it's gonna have,
you know, uh, implications

311
00:14:26,095 --> 00:14:28,095
for operational and
business outcomes as well.

312
00:14:28,595 --> 00:14:31,055
So can, can you expand on
that a little bit and, and,

313
00:14:31,075 --> 00:14:33,215
and share any examples or, or,

314
00:14:33,395 --> 00:14:37,135
or specific ideas, um, that,
that might help illustrate it

315
00:14:37,135 --> 00:14:38,135
for, for listeners?

316
00:14:38,645 --> 00:14:41,335
- Yeah, I mean, I can, I can
go back to the example I gave

317
00:14:41,335 --> 00:14:44,095
of where I think marketing
communications will go, which is

318
00:14:44,245 --> 00:14:46,735
what we're actually seeing
in real life application

319
00:14:46,805 --> 00:14:48,735
with direct contact
with the patient, right?

320
00:14:48,875 --> 00:14:52,885
So, uh, I have, gosh, probably
now a thousand examples,

321
00:14:52,935 --> 00:14:56,325
maybe more of practices where, um,

322
00:14:56,435 --> 00:14:57,725
they've had a patient come in,

323
00:14:57,725 --> 00:14:58,885
they've been a repeat patient,

324
00:14:59,105 --> 00:15:01,645
and they've said, you know, I
just want my cleaning, right?

325
00:15:01,765 --> 00:15:04,565
I want my cleaning, I want my,
you know, whatever they need.

326
00:15:05,305 --> 00:15:08,325
And, you know, or they come in

327
00:15:08,325 --> 00:15:10,405
and they say, I just
want a filling, right?

328
00:15:10,605 --> 00:15:13,205
I mean, you know, I
don't think you walk in

329
00:15:13,205 --> 00:15:14,565
and go, I, you know, I would just like

330
00:15:14,565 --> 00:15:15,805
surgery on my kidneys, right?

331
00:15:15,825 --> 00:15:17,565
But that, that happens
in dentistry, right?

332
00:15:18,305 --> 00:15:21,245
And, you know, by use of the ai, right?

333
00:15:21,345 --> 00:15:24,845
By pulling up the, um,
the annotated radiograph

334
00:15:24,905 --> 00:15:27,725
and showing the progression,
we've been able to say, Hey,

335
00:15:28,765 --> 00:15:30,325
I know that's what you think you want,

336
00:15:30,825 --> 00:15:33,325
but here's what you actually
need and here's why.

337
00:15:33,625 --> 00:15:35,965
And let me show you exactly
what this looks like.

338
00:15:35,965 --> 00:15:37,365
And hey, don't take my word for it,

339
00:15:37,365 --> 00:15:39,205
even though I hope you
take my word for it.

340
00:15:39,265 --> 00:15:41,685
I'm a, I'm a licensed clinician
doing this a long time,

341
00:15:42,465 --> 00:15:44,005
but here is, you know, kind

342
00:15:44,005 --> 00:15:47,365
of a third party objective
reality of what's going on there

343
00:15:48,065 --> 00:15:50,845
and educating them that, Hey,
you, you actually need this

344
00:15:51,425 --> 00:15:52,485
and you need this now.

345
00:15:52,485 --> 00:15:56,125
And I, I recognize that that
is, you know, it's expensive,

346
00:15:56,185 --> 00:15:58,245
but it's something you need to have done.

347
00:15:59,105 --> 00:16:03,605
And, um, we have seen
over and over and over

348
00:16:03,705 --> 00:16:05,245
and over again, examples

349
00:16:05,365 --> 00:16:08,205
of us utilizing those
technologies in our practices

350
00:16:08,205 --> 00:16:11,805
and being able to educate
parent or educate patients,

351
00:16:11,805 --> 00:16:13,685
and I don't wanna say convert them,

352
00:16:14,445 --> 00:16:15,605
although that is the business

353
00:16:15,625 --> 00:16:17,325
and operational reality, right?

354
00:16:17,345 --> 00:16:21,765
It is converting them into
revenue, but it is not fabricated

355
00:16:21,825 --> 00:16:23,285
or push revenue, right?

356
00:16:23,305 --> 00:16:26,565
It is objective reality
of, you know, this is

357
00:16:26,565 --> 00:16:27,805
what you need, right?

358
00:16:27,985 --> 00:16:31,125
It you, you don't go in with
a, you know, with a, uh,

359
00:16:31,405 --> 00:16:32,765
a knife wound on your arm

360
00:16:32,825 --> 00:16:35,485
and say, you know, I would
just like a bandaid, right?

361
00:16:35,605 --> 00:16:37,245
I mean, there, there's
an objective reality

362
00:16:37,305 --> 00:16:38,525
to that that needs to be fixed.

363
00:16:38,585 --> 00:16:41,485
And I think that that's been
coming to dentistry and,

364
00:16:41,585 --> 00:16:44,285
and we have seen that over and over

365
00:16:44,465 --> 00:16:47,285
and over again, that by
showing them that kind

366
00:16:47,285 --> 00:16:51,565
of third party objectivity, it
allows them to feel educated,

367
00:16:52,695 --> 00:16:55,405
build trust, and convert, um,

368
00:16:56,315 --> 00:16:57,445
into the treatment that they need.

369
00:16:57,545 --> 00:17:02,125
And that delivery of, of
true patient care, right?

370
00:17:02,565 --> 00:17:06,005
Educated patient care,
um, does have a business

371
00:17:06,005 --> 00:17:07,165
and an operational impact,

372
00:17:07,165 --> 00:17:09,285
because at the end of the
day, it does increase revenue,

373
00:17:09,465 --> 00:17:11,005
it does increase productivity.

374
00:17:11,185 --> 00:17:13,005
It, it does all these things

375
00:17:13,005 --> 00:17:15,085
that you do want out of a business, right?

376
00:17:15,425 --> 00:17:19,405
Um, but that also are in the
best interest of the patient.

377
00:17:21,135 --> 00:17:23,185
- Yeah. And, and Jonathan,
we've, we've covered a,

378
00:17:23,225 --> 00:17:25,705
a good bit of ground and you've
talked a a lot about what's

379
00:17:25,735 --> 00:17:28,585
exci, the exciting stuff that
that's happening with, with AI

380
00:17:28,585 --> 00:17:30,985
and dentistry, and what could,
what could potentially be

381
00:17:30,985 --> 00:17:33,585
around the horizon that
could a, as you pointed out,

382
00:17:33,585 --> 00:17:36,225
benefit patients, benefit
dental organizations.

383
00:17:36,785 --> 00:17:39,345
Thinking about the next
five to 10 years here,

384
00:17:39,445 --> 00:17:41,145
is there anything else that excites you

385
00:17:41,145 --> 00:17:43,345
that you wanna note for, for listeners?

386
00:17:43,365 --> 00:17:45,425
Or if there is, is there
anything you wanna revisit

387
00:17:45,785 --> 00:17:47,785
reemphasize for folks as we come to,

388
00:17:47,805 --> 00:17:48,905
to a close here in a bit?

389
00:17:49,645 --> 00:17:52,365
- A bit? I think the biggest
thing that I can say is

390
00:17:52,365 --> 00:17:56,525
that things are changing
so rapidly every day.

391
00:17:56,835 --> 00:17:59,645
That predicting where
we're gonna be in five

392
00:17:59,645 --> 00:18:01,485
to 10 years is almost impossible.

393
00:18:01,505 --> 00:18:04,805
And I'll give you an example.
We are working on a project,

394
00:18:05,305 --> 00:18:09,365
um, with, uh, with another,
uh, group and vendor,

395
00:18:10,145 --> 00:18:12,805
and we did a demo of it
about six months ago,

396
00:18:13,425 --> 00:18:14,885
and it's an AI-based product,

397
00:18:15,465 --> 00:18:19,085
and it was incredible when we
saw it, the work we had done

398
00:18:19,085 --> 00:18:21,405
that others had done, it was
like, wow, this is incredible.

399
00:18:21,705 --> 00:18:23,525
And I just had a meeting earlier this week

400
00:18:23,525 --> 00:18:25,845
with the same group on
the same exact product,

401
00:18:26,265 --> 00:18:27,605
and we were kind of laughing

402
00:18:27,915 --> 00:18:31,725
because the new, the new version is

403
00:18:31,905 --> 00:18:34,165
so much better than the one we thought was

404
00:18:34,165 --> 00:18:35,285
amazing six months ago.

405
00:18:36,055 --> 00:18:39,235
And what was most hilarious about that is

406
00:18:39,235 --> 00:18:42,555
that everything we used
to create the new version

407
00:18:43,575 --> 00:18:44,715
wasn't even invented

408
00:18:45,295 --> 00:18:48,755
or available six months ago
when we created the old version.

409
00:18:49,335 --> 00:18:50,835
And so that gives you a sense of

410
00:18:50,895 --> 00:18:52,635
how rapidly things are changing.

411
00:18:52,775 --> 00:18:56,635
So I can't predict for
you the next three weeks,

412
00:18:57,375 --> 00:18:59,435
let alone the next five to 10 years.

413
00:18:59,675 --> 00:19:04,155
I, I really have no idea where,

414
00:19:04,555 --> 00:19:07,155
I mean, you can think up
a thousand use cases for

415
00:19:07,155 --> 00:19:08,155
where IAC could go,

416
00:19:08,335 --> 00:19:11,395
but you've gotta have somebody
that is gonna implement it

417
00:19:11,395 --> 00:19:14,875
and operationalize it in a
way that works with a variety

418
00:19:14,935 --> 00:19:17,995
of different fragmented
systems and, and practices.

419
00:19:18,655 --> 00:19:22,075
And you've gotta, um, do that in a way

420
00:19:22,075 --> 00:19:25,475
where it's not too early
for patient adoption, right?

421
00:19:25,505 --> 00:19:29,715
That the, the patient is ready
for that type of stair step.

422
00:19:30,055 --> 00:19:34,675
Um, and you know, I, I think
this is an incredible time.

423
00:19:35,235 --> 00:19:37,715
I think the word AI
just generally gets way

424
00:19:37,775 --> 00:19:39,115
too overused, right?

425
00:19:39,415 --> 00:19:41,355
AI is a really specific thing,

426
00:19:41,375 --> 00:19:43,235
and everything's kind of been categorized

427
00:19:43,265 --> 00:19:44,395
into this AI bucket.

428
00:19:44,615 --> 00:19:47,875
And in reality, a lot of it
is just a, you know, kind

429
00:19:47,875 --> 00:19:51,195
of a language model and
some, some augmented reality

430
00:19:51,295 --> 00:19:53,155
or some robotic process automation.

431
00:19:53,735 --> 00:19:56,035
But, um, I think true ai

432
00:19:56,055 --> 00:19:58,315
and what can be done with
that, um, in the next five,

433
00:19:58,535 --> 00:19:59,875
10 years is just, I,

434
00:19:59,995 --> 00:20:01,195
I couldn't even <laugh> I couldn't even

435
00:20:01,475 --> 00:20:02,595
forecast it for you if I tried.

436
00:20:04,005 --> 00:20:05,455
- Yeah, no, I mean, that's a great point.

437
00:20:05,535 --> 00:20:07,375
I, I, I think if I think back

438
00:20:07,375 --> 00:20:10,215
to maybe there's some conversations
in might have had about,

439
00:20:10,595 --> 00:20:12,015
um, AI or,

440
00:20:12,115 --> 00:20:14,775
or technology, I guess,
in, in any space in that

441
00:20:15,395 --> 00:20:18,735
pr like maybe two weeks prior
to the launch of, of chat GPT

442
00:20:18,735 --> 00:20:20,575
or like the big embrace, like the right,

443
00:20:20,575 --> 00:20:23,615
that those whole conversations
are kind of like, uh,

444
00:20:23,615 --> 00:20:25,295
completely changed after that moment.

445
00:20:25,355 --> 00:20:28,175
So who knows what could, what
could happen in the next few

446
00:20:28,175 --> 00:20:29,935
weeks could, so something could come out

447
00:20:29,935 --> 00:20:31,095
that completely changes the game.

448
00:20:31,295 --> 00:20:32,295
I, I, I think to your point,

449
00:20:32,315 --> 00:20:35,615
having some few humility
when we get into forecasting

450
00:20:35,615 --> 00:20:36,975
conversations is necessary.

451
00:20:37,655 --> 00:20:39,255
- I, I totally agree.

452
00:20:40,055 --> 00:20:42,905
- Yeah. Yeah. Well, uh, Jonathan,
it's been a real treat to,

453
00:20:42,905 --> 00:20:44,905
to have you on and talk
through this with you today.

454
00:20:45,325 --> 00:20:46,785
Um, any closing thoughts?

455
00:20:46,785 --> 00:20:48,005
Any final words you wanna share

456
00:20:48,005 --> 00:20:49,405
with our listeners before we sign off?

457
00:20:50,185 --> 00:20:53,445
- No, I mean, I think, I think
the biggest thing is don't be

458
00:20:53,445 --> 00:20:55,525
afraid to dip your toe
in the water, right?

459
00:20:55,635 --> 00:20:57,885
Even if it is, start with chat, chat GPT,

460
00:20:57,885 --> 00:21:00,565
because this is not going away, right?

461
00:21:00,565 --> 00:21:02,845
This is not, not an eight track tape

462
00:21:02,865 --> 00:21:04,805
that's gonna revolutionize
the world, right?

463
00:21:04,875 --> 00:21:08,045
This is, I mean, this is the
iPhone, this is the internet.

464
00:21:08,115 --> 00:21:12,365
This is, um, these are these
things that you, if you just,

465
00:21:12,505 --> 00:21:14,685
if you don't embrace
them, you will be left

466
00:21:14,685 --> 00:21:17,005
behind in the dust by a long shot.

467
00:21:17,505 --> 00:21:20,725
Um, I can tell you that our
senior leaders are all taking,

468
00:21:21,345 --> 00:21:23,765
you know, advanced classes, you know,

469
00:21:24,005 --> 00:21:25,965
provided by the Harvards and the Penns

470
00:21:25,965 --> 00:21:28,485
and the Stanfords of the world in ai.

471
00:21:28,485 --> 00:21:31,005
You know, they offer these kind
of three month classes just

472
00:21:31,105 --> 00:21:32,845
so that we're not, you know, we,

473
00:21:32,855 --> 00:21:35,805
we're not gonna be the ones
developing the ai right?

474
00:21:35,825 --> 00:21:38,885
But we have to know and
understand what this is

475
00:21:38,945 --> 00:21:41,645
and dip the toe in the water
and really be pursuing it.

476
00:21:41,645 --> 00:21:42,925
Because I think if you don't,

477
00:21:42,925 --> 00:21:44,325
you're gonna be simply left behind.

478
00:21:45,615 --> 00:21:48,225
- Yeah. You, you, you don't
wanna be caught flat-footed when

479
00:21:48,225 --> 00:21:50,465
the next thing really comes
out that, that, that's changed.

480
00:21:50,485 --> 00:21:54,025
You want to have some sort of,
uh, ability around this stuff

481
00:21:54,025 --> 00:21:55,705
and knowledge so you can adopt it, right?

482
00:21:56,055 --> 00:21:58,565
- Yeah. This is not a
fad. Yeah. Right, right.

483
00:21:58,565 --> 00:21:59,565
This is not a fad.

484
00:22:00,395 --> 00:22:01,765
- Well, Jonathan, once again, thank you

485
00:22:01,765 --> 00:22:02,965
so much for coming on the podcast.

486
00:22:04,305 --> 00:22:06,125
- Uh, my pleasure. Thanks so
much for having me, Brian.

487
00:22:06,725 --> 00:22:08,905
- Yep. And also want to, of course,

488
00:22:09,075 --> 00:22:11,345
thank our podcast sponsor Sage Dental.

489
00:22:11,725 --> 00:22:13,985
You continue to more podcasts
from Becker's Healthcare

490
00:22:14,125 --> 00:22:17,625
by visiting our podcast page
at becker's podcasts.com.

491
00:22:18,105 --> 00:22:18,225
I.

