June 10, 2024 • 32 mins
Unlock the secrets of harnessing AI to revolutionize your organization with our latest episode, featuring my co-founder Brad Breininger. We explore the current landscape of AI adoption across various industries, from media buying to healthcare, and dive deep into the critical role data plays in these initiatives. Together, we address the common apprehensions organizations face, such as the fear of early investment or selecting the wrong technology, and offer insights on balancing innovation with caution, especially in highly regulated sectors.
Discover the groundbreaking advancements AI is bringing to the healthcare sector, including the use of Monjaro for diverse medical conditions and the latest AI-driven developments in Alzheimer’s research. Brad and I also discuss how AI is democratizing entrepreneurship, making it accessible to more individuals and businesses. We emphasize the need for involving the entire organization in AI strategy to foster a more inclusive and effective approach, contrasting it with traditional top-down decision-making processes.
Join us as we delve into how leaders are integrating AI into their everyday routines, using tools like ChatGPT and Adobe Firefly to boost creativity and productivity. Hear about the importance of effective prompt engineering and the necessity of being aware of AI's advantages and pitfalls, including data privacy. Lastly, we discuss the future of AI integration in leadership and work processes, stressing the importance of starting now to pioneer your industry. Don't miss our actionable insights and real-world examples designed to propel your organization into the future with AI.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:05):
Hi everyone, welcome to this episode of the Future is
Human podcast, and I'm reallyexcited to have my co-founder of
Super Crucial Leader Retreatswith me today, brad Reiniger.
Hi, brad.
Speaker 2 (00:17):
Hi Cheryl.
Speaker 1 (00:19):
Brad is, as you know if you've listened to our
previous episodes he's abrilliant mind.
He's a partner in the SuperCrucial Leader Retreats, he's
EVP of Strategy and AIInnovation Lab Leader at
BelieveCo and he's also a memberof the International Academy of
Digital Arts and Sciences.
So you know, brad isknowledgeable in his industry.
They work in his role, works inmultiple industries and as
(00:42):
co-facilitator of Super CrucialLeader Retreat.
We've got some dynamite stuffin the works that we'll share
more with you as we get to theend of the podcast.
But for this podcast, brad,we're going to keep talking
about AI.
We've we talked about it in aLinkedIn live and we talked
about it from a perspective of,you know, should people be
afraid or should they beembracing?
And we basically said theyshould be embracing.
(01:03):
In this episode, I think wehave an opportunity to dig a
little deeper about howorganizations are using AI your
thoughts, my thoughts on what wethink is going to happen next.
You know the human componentwhat is it going to mean for
jobs?
So, addressing all those sortof elements that are coming out
of the AI discussion.
(01:23):
So let's get right into it.
And what do you think?
You know where are mostorganizations when it comes to
considering and or using AI,like where are they right now
from your vantage point?
Speaker 2 (01:36):
Yeah, it's interesting.
I think a lot of organizationsare at different points on the
continuum and a lot of itdepends on how much they've done
technology in the past or howmuch they've done AI-related
initiatives in the past, howmuch data is important to them,
(01:58):
how much they rely on data.
There's a lot of agencies thathave used AI-enhanced products
for quite a while.
When you look at media buyingand things like that, there's
AI-enhanced products that helpwith that and that's well
underway.
But a lot of organizations areusing some of the tools that are
(02:19):
available, like Adobe orMidjourney or ChatGPT, of course
, even to just begin their forayinto the AI world.
But then there's others wherethey're going much deeper.
You know I saw on the news theother day that there's a
Alzheimer's research team thatis using AI to go in and look at
(02:41):
a correlation between eyehealth and being able to predict
Alzheimer's well in advance ofthe disease setting in, and what
they're doing is they're usingAI to look for correlations,
look for patterns, look for awhole bunch of different things
within the data, and they have alot of data to work from and
they're having great successwith that.
(03:02):
So, again, it's very different,but there's a lot of
organizations out there that,and they're having great success
with that.
So, again, it's very different,um, but there's a lot of
organizations out there thatthink that they're way behind
others.
And then there's others thatthink, oh my God, have we not
done enough yet?
Um, but the truth is is thatwherever you are in the AI
journey, um, you know, it'shopefully where you need to be,
but you need to be consideringall of the different products
(03:26):
that are out there and even howyour plan to innovate around AI
for your organization is goingto come to fruition over the
next little while, because it'sgoing to become more and more
important as we move forward.
Speaker 1 (03:39):
Yeah, and I was just reading NVIDIA, who's the AI
chip leader in the industry, andtheir stocks have absolutely
tripled in the last month.
What I was reading as well isthat they're trying to make AI
accessible at every level withinan organization and to touch
everything that we do.
So what I'm seeing withorganizations and I do a lot of
(04:02):
work in the insurance industry,the finance industry, the health
industry I know you have anupcoming AI panel that you're a
panelist on for pharma, whichwe'll talk about in a few
moments but what I'm seeing inthe industry is there's still a
little bit of fence sitting.
There's still a little bit ofthat.
Let's wait to see how the dustsettles.
Let's not go ahead and spend abunch of money and then have to.
(04:23):
You know, like, as you know,with digital transformation, a
lot of companies, when theytransitioned from legacy systems
to cloud, there was a lot ofmoney that was spent in the rush
to get there and then and Iknow this because I have a lot
of clients where they actuallythen had to backtrack because
the products that they went withfor cloud were not necessarily
the right solution.
So I think there's a little bitof gun shyness around.
(04:44):
Do we leap in now or is theregoing to be further innovation
or further?
You know things that are goingto happen that maybe we should
wait a little bit and see, andso it's that push pull that's
going on.
You know we want to be witheverybody else and embrace AI,
but we also don't want to be tooclose out of the gate too soon,
or are we spending money thatwe don't need to spend?
(05:05):
So I don't know if you'reseeing that as well, but that's
what I've kind of observed withthe organizations I'm working
with.
Speaker 2 (05:11):
Yeah, I mean it's the situation where you have your
early adopters who jump in withboth feet and want to be the
innovators in certain areas.
And want to be the innovators incertain areas and you know, for
some organizations, being firstin can be a competitive
advantage and they see that andthey're willing to make that
(05:32):
investment.
But for most organizations, youknow, sitting back and watching
and seeing what works is notnecessarily a bad strategy
either if it fits within whatthat organization is trying to
achieve.
And the good part is that inhighly regulated industries like
, you know, pharma or insuranceor some of those areas where you
(05:56):
know there's kind of a groupthinking that happens around how
to innovate as an industry asopposed to just how to innovate
as an organization.
There is something to be saidfor disruption by some central.
You know capabilities, but notnecessarily pouring all of your
you know resources into you knowthe R&D that goes with having
(06:20):
to develop a product for some ofthose areas.
So I think it really depends onthe organization and the
purpose and what the ultimatestrategy of the organization is
to, you know, put their best AIposition forward.
Speaker 1 (06:36):
Yeah, I think you know when you said you know some
people want to be the earlyadopters.
Are there certain industriesthat are ahead of others in your
opinion?
Like you know, what are youobserving?
Speaker 2 (06:47):
Yeah, I mean, I think that I don't know if it's
industries that are ahead asopposed to you know ways of
incorporating either the toolsthat have already been created
for AI, or you know, for example, let's take ChatGPT, which is
probably the most famous of allthe AI tools right now.
(07:09):
I mean, although you know,Google and Adobe are quick on
their heels, but a lot of it iscontent-based, and so
organizations that deal in a lotof content and want to become
more efficient on the contentside deal in a lot of content
and want to become moreefficient on the content side.
It behooves them to participateas much as possible, and the
(07:32):
truth is that, prior to ChatGPT,I'm sure that there was a lot
of firms out there who werelooking at content tools in the
AI space that could drive theirbusinesses forward, and I know
that some of them were developedand some of them are
proprietary and they are beingused by those organizations.
But the truth is is are theypowerful?
(07:53):
As powerful as ChatGPT?
Are they going to progress asquickly as ChatGPT?
Probably not.
So there is definitely appetitefor developing tools that are
proprietary and tied to a singleorganization, but there's also
a lot of good reason to look forthese more common open source
(08:14):
tools that are, you know, beingdeveloped and progressed at a
much higher level and a muchquicker rate to then be
incorporated into anorganization's processes, Right
so?
Speaker 1 (08:26):
I think it's yeah, when I think of industry.
The one industry and I think wespoke about this before you and
I is the is the healthcareindustry, right?
So yeah, I mean the justrecently in the news.
We'll go over the Monjaropharma creators.
Now they're saying that that canbe used far beyond diabetes,
can be used for cancer vaccine,it can be used for, uh, memory
(08:47):
loss, dementia yeah, so I think,ai in the head and I have a
client that I interviewed for mybook, super crucial human in
the ai industry, based out oftoronto, where that you know,
medicine is, because there's somuch available data.
Now, of course, there's privacyand, as you said, legislation
and compliance and all thosethings, but healthcare industry
(09:10):
right now, I believe, is in thefront.
They're running with thisbecause the implications are
like, for example, wagoviMongera and I'm not an Ozempic
and I'm not investor and I haveno vested interest in using them
as an example, other than tosay that that's an example of
pharma coming up with a globalobesity and death.
(09:31):
It's a major health challengefor humanity and it's being
addressed this one way.
It's not the only way.
There's multiple ways toaddress it, but I'm saying that
was created via AI and now allthese offshoots of that is being
created by AI.
So healthcare we're going tosee I think it's going to blow
people's minds that theinnovation that we're going to
(09:52):
see in the next year or two.
Speaker 2 (09:55):
Yeah, and the truth is and I referred to the
Alzheimer's testing earlier, butthe truth is is that the amount
of data that rapidly and fasterthan the legislation or the
policies and the privacyconsiderations can progress,
done in a very regulated way,they are using what they do have
(10:16):
access to right now in probablythe most efficient way compared
(10:49):
to other industries because ofthe pure amounts of data.
But really, where theinnovation is going to happen is
as we figure out how to, youknow, walk that line when it
comes to privacy and all theother issues attached to it.
The access to that data and thespeed by which AI can look for
(11:10):
those patterns and thoseinsights is going to be a game
changer for sure, a hundredpercent.
Speaker 1 (11:17):
Yeah, I mean other other industries.
Obviously the technologyindustry are right ahead of all
of this, like uh industry, like,like companies that were
already technologically aheaduber, airbnb, all of those ai
has become part of and has beenfor a while part of how they
operate the business.
So you know it's interestingbecause for the listeners or the
(11:39):
viewers, if you're anentrepreneur like I am, you know
you can run with AI in any wayyou want, because it's you don't
have all the hoops to gothrough, right.
You, you literally use it towrite an article, or you use it
to create an image, or you useit to brainstorm ideas or book
titles or whatever.
You know you can use it for avariety of applications.
So I feel like access anddemocratization of AI a lot
(12:02):
about creating success based onaccess is where we're also going
to see I think we're going tosee more entrepreneurism because
of AI.
I think we're going to see moredevelopment because AI is going
to help define, throughresearch and through analytics,
what the public is wanting.
Like.
Again, I get excited because Idon't think we even have any
(12:22):
concept of how much change thisis going to create for everybody
in the next decade Massive.
Speaker 2 (12:29):
Yeah, and the truth is is that you know we can
predict as much as we want, butthe truth is is that we don't
know where this is all going togo.
The truth is is that we don'tknow where this is all going to
go Because you know, one of themost important things to
consider is that a lot of times,you have, you know, a group of
people who create the technologyand then you have another group
(13:01):
of people that build on thetechnology and then another
group of people that build onthat technology.
So for the people who built thetechnology to do the final
prediction of where this couldgo really doesn't make any sense
, because it's going to taketime and additional thinking and
additional insights as we goalong to arrive at the true
power of what AI can be.
The same way that AI learnsthrough, ai learns through, you
know, machine learning and NLPand all of the different ways
(13:22):
that fuel it.
It's the same on the human side, where you know generations
will become better and better atusing the technology and, you
know, increasing its power andall of those things.
But I do think, cheryl, that oneof the most important things
for us to consider that you justsaid, is the democratization of
(13:44):
AI.
One of the things that we'redoing at Believe Co is we're not
looking at just a few people atthe top of the organization to
determine how AI is going tomove forward through the
organization, or what tools touse or how to productize or
innovate with AI, but we'relooking at our full firm and
saying how can we engageeveryone in the firm to be
(14:08):
thinking in this direction andthen ladder it up to, you know,
a central hub where we can then,you know, look at product
productization of certain ideasor, you know, using best
practices across the entireorganization, and I think that
if organizations think about itfrom that way, it really allows
(14:31):
for a broader based way ofthinking in order to innovate in
a much stronger way thanperhaps a few people deciding
what the AI policy is goingforward.
Speaker 1 (14:43):
And I think I've seen that even with my consulting
clients were in the past.
You know, using the example oflegacy system to cloud, for
example.
Those decisions were made byleaders in an IT department in a
vacuum.
Now, I'm not saying that's bador wrong, I'm just saying that's
what happened.
And now, because the AI is soaccessible and everybody needs
(15:03):
to be contributing, that's wherethe democratize.
In other words, everybody'sdata point matters.
That's the big difference here.
It used to be that you knowtop-down autocratic leadership
in an organization, and now no,no, this is we need everyone's
data points in order to make themost strategic decision or to
move in the most strategicdirection for the organization.
Which leads me to the nextquestion I have for you, which
(15:25):
is how are leaders integratingAI into their everyday life?
Speaker 2 (15:29):
from your vantage point, yeah, yeah, I think that
what I was just saying about thedemocratization of it and
empowering teams.
I think that that's what aleader has to think about.
Going forward is how am Iempowering my team, how am I
empowering myself to bring newways of thinking forward?
(15:51):
You know what tools are weutilizing.
Utilizing and I know thatthere's a lot of trepidation for
some folks around you know, ifwe're using AI, are we
delivering a product?
And you know the truth is isthat you can use the tools to
create, you know, an outline ora page and then use your human
(16:15):
creativity and thinking toexpand upon it.
So I think that leaders have tolook at what are the tools and
how can we use them to be betterat what we do.
This isn't necessarily aboutreplacing people.
This isn't about, you know,looking at AI as the delivery
mechanism, but it becomes acreative way of allowing for
(16:41):
further innovation by the teamsthat you already have.
And I think that that humancomponent you and I talk about
this all the time the humancomponent of it and the
contextualization of the content, because, in the end, content
is king.
It's you know.
You don't look at, you knowalbums or cassettes or DVDs or
(17:01):
CDs, it's the music that matters, and it's the same with content
.
A lot of the AI tools aredelivery mechanisms to arrive at
content, but it doesn't meanthat it doesn't need to be
engineered.
You know, you may have it'slike with music you have to put
multiple instruments together,you have to lay different tracks
, and then you have to figureout, okay, how does this all go
(17:22):
together, what does it all meanand how does it fit?
And so that's where the humancreativity can still come into
the equation, at least for now,until AI becomes creative on its
own.
But we're not there yet.
Speaker 1 (17:35):
I think and you and I talked about this before as
well is like how I see leadersusing it right now is almost
everyone is using chat GPT.
I mean when?
Speaker 2 (17:44):
I do polling.
Speaker 1 (17:46):
I say that now.
I poll my audiences when I'm onstage with my keynotes, and the
percentage of people thatweren't not using any AI was
about 30% as of May.
But, as you know, we havepeople like you or I talking
about.
People like I got to go checkthat out and so the uptake and
just general media, of course,and everybody being exposed to
(18:06):
it.
So chat GPT everybody's atleast tried once.
Some people are using it as aregular resource.
I was using chat GPT a lot.
Now I'm I shared with you whenwe spoke before that I'm using
Adobe Firefly for my images.
I'm using a variety ofdifferent like specific AI tools
for specific things.
I have Rewrite AI, which helpsme rewrite my posts, social
(18:30):
posts.
I've got Simplified AI, whichis kind of like a Hootsuite, but
it's AI driven, so it's onsteroids.
I'm seeing leaders using it toorganize their calendars.
They've got integrated intotheir calendars.
As you know, microsoft isbringing a brand new AI
integration into its whole suite, so we're going to actually see
(18:52):
it become seamless.
Just like when we talked beforeabout things were all
disjointed and differentprojects or different pieces of
technology, but now they'regoing to come together GemEye
for Google.
Microsoft's going to have anintegrated.
Do you remember when Microsoftfirst came out and it had the
little paper clip?
Speaker 2 (19:12):
Oh yeah, for sure.
Speaker 1 (19:14):
So now AI is going to be like it'll be everywhere
where it is like like I don'tknow about you, but I have it.
It pre-fills on our Appledevices.
It pre-fills what it thinkswe're going to say.
I mean, it's already, it'salready infiltrated.
But the leaders that I'm seeingbeing very successful with it
is they're using it to askquestions.
Like I have a difficultconversation coming up with my
team member.
(19:35):
It's about performance.
What are some suggestions onhow I can approach it?
And I've used it for that too,just to see what it comes up
with, and the answers areexcellent.
You know you want to make sureyou have a quiet place to talk.
You want to like it's gotreally excellent insight, yeah.
Speaker 2 (19:50):
Yeah, and it's a tool like any other tool.
I think that you know, like yousaid, it's going to become more
seamless as time goes on.
Where you know it won't be justyou know how are leaders using
AI?
Everything will be either AIenhanced AI or AI enabled, and
it'll really be about what toolswork for what it is that you're
(20:12):
trying to achieve.
And you know the same way thatthe tools have changed over time
.
You know where we used to.
You know, write our reports ona typewriter.
We would handwrite them, thenwe move to typewriter.
Then we move to, you know,computer.
The tools continue to change,but ultimately, what we're
trying to achieve is a higherlevel of capability and a higher
(20:37):
level of creativity and ahigher level of efficiency, and
all of those things will leadinto the choices that we make as
leaders for ourselves and forour teams around.
You know what's going to workfor us and you know, as you know
, there's 5,001 differentproducts that are already
available, and more coming everysingle day, and so it's really
(21:00):
about efficiently understandingwhich of them are going to be
most effective and most helpfulto the tasks that you're trying
to do.
The other big thing that Ithink we're becoming better and
better at is our promptingbecoming stronger, prompt
engineers, as I call them, andasking questions that are more
(21:22):
in context with what it is thatwe're trying to achieve.
You know, I think particularlychat, gpt or even mid journey
and even Adobe.
You know asking for certainthings.
Before, in the early days, whenwe were using these products, we
would be very general, and nowwe're kind of way more efficient
and we understand what it isthat we're trying to do.
(21:43):
It's not, you know, create me apicture of a person standing in
front of a mountain.
It's create a picture of aperson standing in front of a
mountain at sunrise wearing ablue shirt, with, you know, this
kind of beard or no beard, orhairstyle or no hairstyle you
did talk about this, about howprompt engineering is actually
causing us as humans tocommunicate more clearly,
(22:07):
because with prompt engineering,the quality you get is only as
good as what you prompt it withright.
Speaker 1 (22:12):
So just even saying that, and for anybody listening
and watching and you're going,most of you might know prompt
engineering, but if you don't,it's what you put into the AI as
your request to get what youwant.
So, for example, if you wanteda picture on Adobe Firefly, you
might say exactly what Brad said.
You know sunrise mountaintopleader.
But I was sharing this with youin a previous conversation that
(22:34):
you know when I do a articlenow or a blog post, I give it.
I don't just say write me athousand word article in the
voice of Sheryl Cran, which Idid at the very beginning when I
first used it, when I firstcame out.
Now, write me a thousand wordarticle in the voice of Sheryl
Cran in the brand of NextMapping, with the following points and
please create reference pointsand links for each of these
(22:57):
points.
So my prompts now have gonefrom this to this, but the
output is superb.
Like I have to do less and lessediting, the more concise we
are with the prompting, agreed.
Speaker 2 (23:09):
Yeah, and I mean.
The only thing that we have tobe careful and cognizant of is
the fact that you know the datathat's being fed into the AI for
its learning could beproprietary data could be
copyright protected, say, allthe time, which is the whole
(23:30):
human piece to it, is stillreally important, and you know
being able to evaluate thecontent that comes from it and
you know.
Going back to your originalquestion, what can leaders do is
just make themselves and theirteams aware of the advantages
and the pitfalls of AI and usingAI enabled tools and making
(23:54):
sure that you know that we'rereally aware of where they can
benefit us and where they cantrip us up potentially.
Speaker 1 (24:01):
Yeah, last question for this podcast and we will
have more, so you know we'll betalking about a variety of
angles on this subject matter.
You know, will we be leftbehind?
Anybody listening, watching, ifanybody is really kind of still
sitting on the fence or theyeven started, but they're kind
of like I don't feel like I'mfast enough for the speed of
innovation.
Do you think people will beleft behind?
(24:23):
Where do you think where we'regoing?
Speaker 2 (24:27):
Yeah, I think, quite frankly, the future of work
includes AI.
So the future of organizationalsuccess, the future of work, the
future of you know how we showup to build careers all includes
AI.
So I don't think anyone is leftbehind now, and you know there's
(24:47):
a lot of work being done by alot of very large, powerful
organizations to create toolsthat will have AI embedded into
them.
So I do think that as long asyou're aware constantly around
how you can be more efficient,use better tools, continue to
evolve your teams and yourselfand your organizations, then I
(25:10):
don't think you'll be leftbehind when it comes to using AI
to productize or builddifferentiation in your
industries or whatever thatmight be.
That takes a lot more focus onembedding the technology in a
much stronger way.
So if that is ultimately yourgoal, then I think you need to
(25:32):
be thinking about that already,because there are people out
there probably defining yourindustry as we speak when it
comes to AI integration.
But if really what you're doingis kind of sitting back and
waiting for tools that will makecertain elements of your work
more efficient and easier to do,then I think you're not going
(25:56):
to be left behind.
But if you truly want to be apioneer in your industry, then I
think you need to be thinkingabout what does that look like
now?
Because everything is happeningnow.
Speaker 1 (26:06):
Yeah, I think I agree with you completely and I think
the future of work obviously isAI enabled with human
contextualization.
So this whole future is humansuper crucial leader.
All the things that we're doingis and you're right nobody
knows.
But as a futurist and as aperson who does, you know
(26:29):
exhaustive research in humanbehavior and social trends, I do
feel that AI is going to becomeso integrated into our daily
existence that it's going to beless We'll look back on these
conversations and go why were weeven talking that way?
Because it'll become integratedinto our, the way we live, and
that's why I'm so passionate andyou are as well about how do we
be better humans, becausehumans are creating the impact
and output of AI and to methere's an important focus yeah.
Speaker 2 (26:55):
Yeah, and there's still bias issues, there's still
content and copyright andprivacy issues, so there's still
a lot that has to be worked out.
Recently, a group oforganizations signed a treaty
around being responsible,accountable and ethical in AI
development and you know we'regoing to see more and more of
(27:18):
that because there is a certainresponsibility.
What's the line?
With great power comes greatresponsibility, and I do think
that that's true to a largedegree, and we can't lose our
responsibility, ouraccountability, our ethics, our
position as a society.
We can't look at thedegradation of society as a
(27:41):
thing to happen in order for usto be better at technology.
We still have to ensure thatwe're being good humans, but
we're just enabling ourselves tobe better at some of the things
that we do.
And, you know, becoming moreefficient.
Whole conversation is that thisis meant to make us better.
(28:04):
This is part of our evolution.
This is not.
You know, we've had anindustrial revolution, We've had
(28:24):
an information age revolutionand now we're having an AI
evolution.
We will continue to evolve ashumans and technology will be a
big part of that, but really wehave to look at it from that
perspective and say, okay, ifthis truly is part of our
evolution.
What are we doing to ensure thecapability of ourselves to just
(28:50):
be better humans as we do it?
Speaker 1 (28:52):
I think it's going to up the integrity game, being of
higher integrity, higherresponsibility, higher
accountability.
Yeah, I mean another industryjust before we sign off.
Another industry that comes tomind is the whole law
enforcement industry and how AIis making it much easier for
crime to be deterred before iteven happens.
(29:12):
So if you look at that, Do youremember the movie?
Speaker 2 (29:15):
Yeah.
Do you remember the movie withTom Cruise?
Minority Report yes exactly,and that was and how many years
ago was that?
Like it's funny because it'sinteresting how science fiction,
you know, can be a precursor towhere we arrive, like if you
look at the Star Trek effect onthe iPhone, for example, or if
(29:37):
you look at, you know exactlywhat you just said around AI.
And truth is is that if we cancontinue to build in the
integrity like you're talkingabout, then you know it can be a
(29:58):
positive for our society.
Speaker 1 (30:00):
Yeah, yeah, and I'm also excited about with the pool
of data and looking atalgorithms and looking at
humanity as a whole of 7 billionpeople, I can only see the
potential of us making reallysmart decisions based on those
you know, sort of like what'sgood for humanity versus a few
Right.
I see that as well.
So we always have these reallyenlightening, engaging
(30:24):
conversations.
Thank you so much.
Maybe just tell everybody aboutthe panel that you'll be
speaking on, about AI and yeah,and then we'll talk a little bit
about it later.
Yeah.
Speaker 2 (30:34):
Yeah, it's AI and pharma.
It is sold out, so that's great, but basically what we're
talking about is the agency ofthe future and how we can
service, particularly on thepharmaceutical side.
How we can, you know, withinthe regulatory framework, how we
can use AI and position ouragencies and ourselves to
(30:58):
continue to, you know, bringforward marketing and
communication and PR and all ofthose elements within the
pharmaceutical framework and useAI to drive that engine as we
move forward.
Speaker 1 (31:11):
Yeah, excellent, and that's on June 18th, I believe,
right.
So we'll do another episodewhere you talk about that and
what came out of that, I think?
that'd be really interesting.
Awesome, yeah.
And then also just remindingeverybody that Brad and I are
the co-founders of Super CrucialLeader Retreat.
If you go to our website,supercrucialleadercom, you'll
see more.
(31:31):
Our next retreat is November5th to 7th.
Registration is now open.
And if you're thinking toyourself, well, why would we
want to go to spend time withCheryl and Brad for three days?
Well, more of what you heard onthis particular podcast and
previous ones that we've done onLinkedIn Live.
But more important than that isthe contextualization.
So you know, information isonly as good as the context that
(31:54):
is behind it, and so, with myover 20 plus years as a
leadership expert, future ofwork researcher Brad's over
however many years, the same inleadership in branding, in
marketing, in business.
That's context, and we'll behaving special guests and
special activities as well.
So if you're looking to beinspired, innovative, hearing
(32:18):
some really cool things that youcan apply in the workplace
right away, you might want toconsider signing up
Supercrucialleadercom.
Speaker 2 (32:23):
Yeah, and we're fun, and we're fun, it'll be fun, and
we are fun too.
There's that as well.
Speaker 1 (32:29):
Yeah, that's right, Thanks everybody.
Hi everyone, welcome to this episode of the Future is
Human podcast, and I'm reallyexcited to have my co-founder of
Super Crucial Leader Retreatswith me today, brad Reiniger.
Hi, brad.
Speaker 2 (00:17):
Hi Cheryl.
Speaker 1 (00:19):
Brad is, as you know if you've listened to our
previous episodes he's abrilliant mind.
He's a partner in the SuperCrucial Leader Retreats, he's
EVP of Strategy and AIInnovation Lab Leader at
BelieveCo and he's also a memberof the International Academy of
Digital Arts and Sciences.
So you know, brad isknowledgeable in his industry.
They work in his role, works inmultiple industries and as
(00:42):
co-facilitator of Super CrucialLeader Retreat.
We've got some dynamite stuffin the works that we'll share
more with you as we get to theend of the podcast.
But for this podcast, brad,we're going to keep talking
about AI.
We've we talked about it in aLinkedIn live and we talked
about it from a perspective of,you know, should people be
afraid or should they beembracing?
And we basically said theyshould be embracing.
(01:03):
In this episode, I think wehave an opportunity to dig a
little deeper about howorganizations are using AI your
thoughts, my thoughts on what wethink is going to happen next.
You know the human componentwhat is it going to mean for
jobs?
So, addressing all those sortof elements that are coming out
of the AI discussion.
(01:23):
So let's get right into it.
And what do you think?
You know where are mostorganizations when it comes to
considering and or using AI,like where are they right now
from your vantage point?
Speaker 2 (01:36):
Yeah, it's interesting.
I think a lot of organizationsare at different points on the
continuum and a lot of itdepends on how much they've done
technology in the past or howmuch they've done AI-related
initiatives in the past, howmuch data is important to them,
(01:58):
how much they rely on data.
There's a lot of agencies thathave used AI-enhanced products
for quite a while.
When you look at media buyingand things like that, there's
AI-enhanced products that helpwith that and that's well
underway.
But a lot of organizations areusing some of the tools that are
(02:19):
available, like Adobe orMidjourney or ChatGPT, of course
, even to just begin their forayinto the AI world.
But then there's others wherethey're going much deeper.
You know I saw on the news theother day that there's a
Alzheimer's research team thatis using AI to go in and look at
(02:41):
a correlation between eyehealth and being able to predict
Alzheimer's well in advance ofthe disease setting in, and what
they're doing is they're usingAI to look for correlations,
look for patterns, look for awhole bunch of different things
within the data, and they have alot of data to work from and
they're having great successwith that.
(03:02):
So, again, it's very different,but there's a lot of
organizations out there that,and they're having great success
with that.
So, again, it's very different,um, but there's a lot of
organizations out there thatthink that they're way behind
others.
And then there's others thatthink, oh my God, have we not
done enough yet?
Um, but the truth is is thatwherever you are in the AI
journey, um, you know, it'shopefully where you need to be,
but you need to be consideringall of the different products
(03:26):
that are out there and even howyour plan to innovate around AI
for your organization is goingto come to fruition over the
next little while, because it'sgoing to become more and more
important as we move forward.
Speaker 1 (03:39):
Yeah, and I was just reading NVIDIA, who's the AI
chip leader in the industry, andtheir stocks have absolutely
tripled in the last month.
What I was reading as well isthat they're trying to make AI
accessible at every level withinan organization and to touch
everything that we do.
So what I'm seeing withorganizations and I do a lot of
(04:02):
work in the insurance industry,the finance industry, the health
industry I know you have anupcoming AI panel that you're a
panelist on for pharma, whichwe'll talk about in a few
moments but what I'm seeing inthe industry is there's still a
little bit of fence sitting.
There's still a little bit ofthat.
Let's wait to see how the dustsettles.
Let's not go ahead and spend abunch of money and then have to.
(04:23):
You know, like, as you know,with digital transformation, a
lot of companies, when theytransitioned from legacy systems
to cloud, there was a lot ofmoney that was spent in the rush
to get there and then and Iknow this because I have a lot
of clients where they actuallythen had to backtrack because
the products that they went withfor cloud were not necessarily
the right solution.
So I think there's a little bitof gun shyness around.
(04:44):
Do we leap in now or is theregoing to be further innovation
or further?
You know things that are goingto happen that maybe we should
wait a little bit and see, andso it's that push pull that's
going on.
You know we want to be witheverybody else and embrace AI,
but we also don't want to be tooclose out of the gate too soon,
or are we spending money thatwe don't need to spend?
(05:05):
So I don't know if you'reseeing that as well, but that's
what I've kind of observed withthe organizations I'm working
with.
Speaker 2 (05:11):
Yeah, I mean it's the situation where you have your
early adopters who jump in withboth feet and want to be the
innovators in certain areas.
And want to be the innovators incertain areas and you know, for
some organizations, being firstin can be a competitive
advantage and they see that andthey're willing to make that
(05:32):
investment.
But for most organizations, youknow, sitting back and watching
and seeing what works is notnecessarily a bad strategy
either if it fits within whatthat organization is trying to
achieve.
And the good part is that inhighly regulated industries like
, you know, pharma or insuranceor some of those areas where you
(05:56):
know there's kind of a groupthinking that happens around how
to innovate as an industry asopposed to just how to innovate
as an organization.
There is something to be saidfor disruption by some central.
You know capabilities, but notnecessarily pouring all of your
you know resources into you knowthe R&D that goes with having
(06:20):
to develop a product for some ofthose areas.
So I think it really depends onthe organization and the
purpose and what the ultimatestrategy of the organization is
to, you know, put their best AIposition forward.
Speaker 1 (06:36):
Yeah, I think you know when you said you know some
people want to be the earlyadopters.
Are there certain industriesthat are ahead of others in your
opinion?
Like you know, what are youobserving?
Speaker 2 (06:47):
Yeah, I mean, I think that I don't know if it's
industries that are ahead asopposed to you know ways of
incorporating either the toolsthat have already been created
for AI, or you know, for example, let's take ChatGPT, which is
probably the most famous of allthe AI tools right now.
(07:09):
I mean, although you know,Google and Adobe are quick on
their heels, but a lot of it iscontent-based, and so
organizations that deal in a lotof content and want to become
more efficient on the contentside deal in a lot of content
and want to become moreefficient on the content side.
It behooves them to participateas much as possible, and the
(07:32):
truth is that, prior to ChatGPT,I'm sure that there was a lot
of firms out there who werelooking at content tools in the
AI space that could drive theirbusinesses forward, and I know
that some of them were developedand some of them are
proprietary and they are beingused by those organizations.
But the truth is is are theypowerful?
(07:53):
As powerful as ChatGPT?
Are they going to progress asquickly as ChatGPT?
Probably not.
So there is definitely appetitefor developing tools that are
proprietary and tied to a singleorganization, but there's also
a lot of good reason to look forthese more common open source
(08:14):
tools that are, you know, beingdeveloped and progressed at a
much higher level and a muchquicker rate to then be
incorporated into anorganization's processes, Right
so?
Speaker 1 (08:26):
I think it's yeah, when I think of industry.
The one industry and I think wespoke about this before you and
I is the is the healthcareindustry, right?
So yeah, I mean the justrecently in the news.
We'll go over the Monjaropharma creators.
Now they're saying that that canbe used far beyond diabetes,
can be used for cancer vaccine,it can be used for, uh, memory
(08:47):
loss, dementia yeah, so I think,ai in the head and I have a
client that I interviewed for mybook, super crucial human in
the ai industry, based out oftoronto, where that you know,
medicine is, because there's somuch available data.
Now, of course, there's privacyand, as you said, legislation
and compliance and all thosethings, but healthcare industry
(09:10):
right now, I believe, is in thefront.
They're running with thisbecause the implications are
like, for example, wagoviMongera and I'm not an Ozempic
and I'm not investor and I haveno vested interest in using them
as an example, other than tosay that that's an example of
pharma coming up with a globalobesity and death.
(09:31):
It's a major health challengefor humanity and it's being
addressed this one way.
It's not the only way.
There's multiple ways toaddress it, but I'm saying that
was created via AI and now allthese offshoots of that is being
created by AI.
So healthcare we're going tosee I think it's going to blow
people's minds that theinnovation that we're going to
(09:52):
see in the next year or two.
Speaker 2 (09:55):
Yeah, and the truth is and I referred to the
Alzheimer's testing earlier, butthe truth is is that the amount
of data that rapidly and fasterthan the legislation or the
policies and the privacyconsiderations can progress,
done in a very regulated way,they are using what they do have
(10:16):
access to right now in probablythe most efficient way compared
(10:49):
to other industries because ofthe pure amounts of data.
But really, where theinnovation is going to happen is
as we figure out how to, youknow, walk that line when it
comes to privacy and all theother issues attached to it.
The access to that data and thespeed by which AI can look for
(11:10):
those patterns and thoseinsights is going to be a game
changer for sure, a hundredpercent.
Speaker 1 (11:17):
Yeah, I mean other other industries.
Obviously the technologyindustry are right ahead of all
of this, like uh industry, like,like companies that were
already technologically aheaduber, airbnb, all of those ai
has become part of and has beenfor a while part of how they
operate the business.
So you know it's interestingbecause for the listeners or the
(11:39):
viewers, if you're anentrepreneur like I am, you know
you can run with AI in any wayyou want, because it's you don't
have all the hoops to gothrough, right.
You, you literally use it towrite an article, or you use it
to create an image, or you useit to brainstorm ideas or book
titles or whatever.
You know you can use it for avariety of applications.
So I feel like access anddemocratization of AI a lot
(12:02):
about creating success based onaccess is where we're also going
to see I think we're going tosee more entrepreneurism because
of AI.
I think we're going to see moredevelopment because AI is going
to help define, throughresearch and through analytics,
what the public is wanting.
Like.
Again, I get excited because Idon't think we even have any
(12:22):
concept of how much change thisis going to create for everybody
in the next decade Massive.
Speaker 2 (12:29):
Yeah, and the truth is is that you know we can
predict as much as we want, butthe truth is is that we don't
know where this is all going togo.
The truth is is that we don'tknow where this is all going to
go Because you know, one of themost important things to
consider is that a lot of times,you have, you know, a group of
people who create the technologyand then you have another group
(13:01):
of people that build on thetechnology and then another
group of people that build onthat technology.
So for the people who built thetechnology to do the final
prediction of where this couldgo really doesn't make any sense
, because it's going to taketime and additional thinking and
additional insights as we goalong to arrive at the true
power of what AI can be.
The same way that AI learnsthrough, ai learns through, you
know, machine learning and NLPand all of the different ways
(13:22):
that fuel it.
It's the same on the human side, where you know generations
will become better and better atusing the technology and, you
know, increasing its power andall of those things.
But I do think, cheryl, that oneof the most important things
for us to consider that you justsaid, is the democratization of
(13:44):
AI.
One of the things that we'redoing at Believe Co is we're not
looking at just a few people atthe top of the organization to
determine how AI is going tomove forward through the
organization, or what tools touse or how to productize or
innovate with AI, but we'relooking at our full firm and
saying how can we engageeveryone in the firm to be
(14:08):
thinking in this direction andthen ladder it up to, you know,
a central hub where we can then,you know, look at product
productization of certain ideasor, you know, using best
practices across the entireorganization, and I think that
if organizations think about itfrom that way, it really allows
(14:31):
for a broader based way ofthinking in order to innovate in
a much stronger way thanperhaps a few people deciding
what the AI policy is goingforward.
Speaker 1 (14:43):
And I think I've seen that even with my consulting
clients were in the past.
You know, using the example oflegacy system to cloud, for
example.
Those decisions were made byleaders in an IT department in a
vacuum.
Now, I'm not saying that's bador wrong, I'm just saying that's
what happened.
And now, because the AI is soaccessible and everybody needs
(15:03):
to be contributing, that's wherethe democratize.
In other words, everybody'sdata point matters.
That's the big difference here.
It used to be that you knowtop-down autocratic leadership
in an organization, and now no,no, this is we need everyone's
data points in order to make themost strategic decision or to
move in the most strategicdirection for the organization.
Which leads me to the nextquestion I have for you, which
(15:25):
is how are leaders integratingAI into their everyday life?
Speaker 2 (15:29):
from your vantage point, yeah, yeah, I think that
what I was just saying about thedemocratization of it and
empowering teams.
I think that that's what aleader has to think about.
Going forward is how am Iempowering my team, how am I
empowering myself to bring newways of thinking forward?
(15:51):
You know what tools are weutilizing.
Utilizing and I know thatthere's a lot of trepidation for
some folks around you know, ifwe're using AI, are we
delivering a product?
And you know the truth is isthat you can use the tools to
create, you know, an outline ora page and then use your human
(16:15):
creativity and thinking toexpand upon it.
So I think that leaders have tolook at what are the tools and
how can we use them to be betterat what we do.
This isn't necessarily aboutreplacing people.
This isn't about, you know,looking at AI as the delivery
mechanism, but it becomes acreative way of allowing for
(16:41):
further innovation by the teamsthat you already have.
And I think that that humancomponent you and I talk about
this all the time the humancomponent of it and the
contextualization of the content, because, in the end, content
is king.
It's you know.
You don't look at, you knowalbums or cassettes or DVDs or
(17:01):
CDs, it's the music that matters, and it's the same with content
.
A lot of the AI tools aredelivery mechanisms to arrive at
content, but it doesn't meanthat it doesn't need to be
engineered.
You know, you may have it'slike with music you have to put
multiple instruments together,you have to lay different tracks
, and then you have to figureout, okay, how does this all go
(17:22):
together, what does it all meanand how does it fit?
And so that's where the humancreativity can still come into
the equation, at least for now,until AI becomes creative on its
own.
But we're not there yet.
Speaker 1 (17:35):
I think and you and I talked about this before as
well is like how I see leadersusing it right now is almost
everyone is using chat GPT.
I mean when?
Speaker 2 (17:44):
I do polling.
Speaker 1 (17:46):
I say that now.
I poll my audiences when I'm onstage with my keynotes, and the
percentage of people thatweren't not using any AI was
about 30% as of May.
But, as you know, we havepeople like you or I talking
about.
People like I got to go checkthat out and so the uptake and
just general media, of course,and everybody being exposed to
(18:06):
it.
So chat GPT everybody's atleast tried once.
Some people are using it as aregular resource.
I was using chat GPT a lot.
Now I'm I shared with you whenwe spoke before that I'm using
Adobe Firefly for my images.
I'm using a variety ofdifferent like specific AI tools
for specific things.
I have Rewrite AI, which helpsme rewrite my posts, social
(18:30):
posts.
I've got Simplified AI, whichis kind of like a Hootsuite, but
it's AI driven, so it's onsteroids.
I'm seeing leaders using it toorganize their calendars.
They've got integrated intotheir calendars.
As you know, microsoft isbringing a brand new AI
integration into its whole suite, so we're going to actually see
(18:52):
it become seamless.
Just like when we talked beforeabout things were all
disjointed and differentprojects or different pieces of
technology, but now they'regoing to come together GemEye
for Google.
Microsoft's going to have anintegrated.
Do you remember when Microsoftfirst came out and it had the
little paper clip?
Speaker 2 (19:12):
Oh yeah, for sure.
Speaker 1 (19:14):
So now AI is going to be like it'll be everywhere
where it is like like I don'tknow about you, but I have it.
It pre-fills on our Appledevices.
It pre-fills what it thinkswe're going to say.
I mean, it's already, it'salready infiltrated.
But the leaders that I'm seeingbeing very successful with it
is they're using it to askquestions.
Like I have a difficultconversation coming up with my
team member.
(19:35):
It's about performance.
What are some suggestions onhow I can approach it?
And I've used it for that too,just to see what it comes up
with, and the answers areexcellent.
You know you want to make sureyou have a quiet place to talk.
You want to like it's gotreally excellent insight, yeah.
Speaker 2 (19:50):
Yeah, and it's a tool like any other tool.
I think that you know, like yousaid, it's going to become more
seamless as time goes on.
Where you know it won't be justyou know how are leaders using
AI?
Everything will be either AIenhanced AI or AI enabled, and
it'll really be about what toolswork for what it is that you're
(20:12):
trying to achieve.
And you know the same way thatthe tools have changed over time
.
You know where we used to.
You know, write our reports ona typewriter.
We would handwrite them, thenwe move to typewriter.
Then we move to, you know,computer.
The tools continue to change,but ultimately, what we're
trying to achieve is a higherlevel of capability and a higher
(20:37):
level of creativity and ahigher level of efficiency, and
all of those things will leadinto the choices that we make as
leaders for ourselves and forour teams around.
You know what's going to workfor us and you know, as you know
, there's 5,001 differentproducts that are already
available, and more coming everysingle day, and so it's really
(21:00):
about efficiently understandingwhich of them are going to be
most effective and most helpfulto the tasks that you're trying
to do.
The other big thing that Ithink we're becoming better and
better at is our promptingbecoming stronger, prompt
engineers, as I call them, andasking questions that are more
(21:22):
in context with what it is thatwe're trying to achieve.
You know, I think particularlychat, gpt or even mid journey
and even Adobe.
You know asking for certainthings.
Before, in the early days, whenwe were using these products, we
would be very general, and nowwe're kind of way more efficient
and we understand what it isthat we're trying to do.
(21:43):
It's not, you know, create me apicture of a person standing in
front of a mountain.
It's create a picture of aperson standing in front of a
mountain at sunrise wearing ablue shirt, with, you know, this
kind of beard or no beard, orhairstyle or no hairstyle you
did talk about this, about howprompt engineering is actually
causing us as humans tocommunicate more clearly,
(22:07):
because with prompt engineering,the quality you get is only as
good as what you prompt it withright.
Speaker 1 (22:12):
So just even saying that, and for anybody listening
and watching and you're going,most of you might know prompt
engineering, but if you don't,it's what you put into the AI as
your request to get what youwant.
So, for example, if you wanteda picture on Adobe Firefly, you
might say exactly what Brad said.
You know sunrise mountaintopleader.
But I was sharing this with youin a previous conversation that
(22:34):
you know when I do a articlenow or a blog post, I give it.
I don't just say write me athousand word article in the
voice of Sheryl Cran, which Idid at the very beginning when I
first used it, when I firstcame out.
Now, write me a thousand wordarticle in the voice of Sheryl
Cran in the brand of NextMapping, with the following points and
please create reference pointsand links for each of these
(22:57):
points.
So my prompts now have gonefrom this to this, but the
output is superb.
Like I have to do less and lessediting, the more concise we
are with the prompting, agreed.
Speaker 2 (23:09):
Yeah, and I mean.
The only thing that we have tobe careful and cognizant of is
the fact that you know the datathat's being fed into the AI for
its learning could beproprietary data could be
copyright protected, say, allthe time, which is the whole
(23:30):
human piece to it, is stillreally important, and you know
being able to evaluate thecontent that comes from it and
you know.
Going back to your originalquestion, what can leaders do is
just make themselves and theirteams aware of the advantages
and the pitfalls of AI and usingAI enabled tools and making
(23:54):
sure that you know that we'rereally aware of where they can
benefit us and where they cantrip us up potentially.
Speaker 1 (24:01):
Yeah, last question for this podcast and we will
have more, so you know we'll betalking about a variety of
angles on this subject matter.
You know, will we be leftbehind?
Anybody listening, watching, ifanybody is really kind of still
sitting on the fence or theyeven started, but they're kind
of like I don't feel like I'mfast enough for the speed of
innovation.
Do you think people will beleft behind?
(24:23):
Where do you think where we'regoing?
Speaker 2 (24:27):
Yeah, I think, quite frankly, the future of work
includes AI.
So the future of organizationalsuccess, the future of work, the
future of you know how we showup to build careers all includes
AI.
So I don't think anyone is leftbehind now, and you know there's
(24:47):
a lot of work being done by alot of very large, powerful
organizations to create toolsthat will have AI embedded into
them.
So I do think that as long asyou're aware constantly around
how you can be more efficient,use better tools, continue to
evolve your teams and yourselfand your organizations, then I
(25:10):
don't think you'll be leftbehind when it comes to using AI
to productize or builddifferentiation in your
industries or whatever thatmight be.
That takes a lot more focus onembedding the technology in a
much stronger way.
So if that is ultimately yourgoal, then I think you need to
(25:32):
be thinking about that already,because there are people out
there probably defining yourindustry as we speak when it
comes to AI integration.
But if really what you're doingis kind of sitting back and
waiting for tools that will makecertain elements of your work
more efficient and easier to do,then I think you're not going
(25:56):
to be left behind.
But if you truly want to be apioneer in your industry, then I
think you need to be thinkingabout what does that look like
now?
Because everything is happeningnow.
Speaker 1 (26:06):
Yeah, I think I agree with you completely and I think
the future of work obviously isAI enabled with human
contextualization.
So this whole future is humansuper crucial leader.
All the things that we're doingis and you're right nobody
knows.
But as a futurist and as aperson who does, you know
(26:29):
exhaustive research in humanbehavior and social trends, I do
feel that AI is going to becomeso integrated into our daily
existence that it's going to beless We'll look back on these
conversations and go why were weeven talking that way?
Because it'll become integratedinto our, the way we live, and
that's why I'm so passionate andyou are as well about how do we
be better humans, becausehumans are creating the impact
and output of AI and to methere's an important focus yeah.
Speaker 2 (26:55):
Yeah, and there's still bias issues, there's still
content and copyright andprivacy issues, so there's still
a lot that has to be worked out.
Recently, a group oforganizations signed a treaty
around being responsible,accountable and ethical in AI
development and you know we'regoing to see more and more of
(27:18):
that because there is a certainresponsibility.
What's the line?
With great power comes greatresponsibility, and I do think
that that's true to a largedegree, and we can't lose our
responsibility, ouraccountability, our ethics, our
position as a society.
We can't look at thedegradation of society as a
(27:41):
thing to happen in order for usto be better at technology.
We still have to ensure thatwe're being good humans, but
we're just enabling ourselves tobe better at some of the things
that we do.
And, you know, becoming moreefficient.
Whole conversation is that thisis meant to make us better.
(28:04):
This is part of our evolution.
This is not.
You know, we've had anindustrial revolution, We've had
(28:24):
an information age revolutionand now we're having an AI
evolution.
We will continue to evolve ashumans and technology will be a
big part of that, but really wehave to look at it from that
perspective and say, okay, ifthis truly is part of our
evolution.
What are we doing to ensure thecapability of ourselves to just
(28:50):
be better humans as we do it?
Speaker 1 (28:52):
I think it's going to up the integrity game, being of
higher integrity, higherresponsibility, higher
accountability.
Yeah, I mean another industryjust before we sign off.
Another industry that comes tomind is the whole law
enforcement industry and how AIis making it much easier for
crime to be deterred before iteven happens.
(29:12):
So if you look at that, Do youremember the movie?
Speaker 2 (29:15):
Yeah.
Do you remember the movie withTom Cruise?
Minority Report yes exactly,and that was and how many years
ago was that?
Like it's funny because it'sinteresting how science fiction,
you know, can be a precursor towhere we arrive, like if you
look at the Star Trek effect onthe iPhone, for example, or if
(29:37):
you look at, you know exactlywhat you just said around AI.
And truth is is that if we cancontinue to build in the
integrity like you're talkingabout, then you know it can be a
(29:58):
positive for our society.
Speaker 1 (30:00):
Yeah, yeah, and I'm also excited about with the pool
of data and looking atalgorithms and looking at
humanity as a whole of 7 billionpeople, I can only see the
potential of us making reallysmart decisions based on those
you know, sort of like what'sgood for humanity versus a few
Right.
I see that as well.
So we always have these reallyenlightening, engaging
(30:24):
conversations.
Thank you so much.
Maybe just tell everybody aboutthe panel that you'll be
speaking on, about AI and yeah,and then we'll talk a little bit
about it later.
Yeah.
Speaker 2 (30:34):
Yeah, it's AI and pharma.
It is sold out, so that's great, but basically what we're
talking about is the agency ofthe future and how we can
service, particularly on thepharmaceutical side.
How we can, you know, withinthe regulatory framework, how we
can use AI and position ouragencies and ourselves to
(30:58):
continue to, you know, bringforward marketing and
communication and PR and all ofthose elements within the
pharmaceutical framework and useAI to drive that engine as we
move forward.
Speaker 1 (31:11):
Yeah, excellent, and that's on June 18th, I believe,
right.
So we'll do another episodewhere you talk about that and
what came out of that, I think?
that'd be really interesting.
Awesome, yeah.
And then also just remindingeverybody that Brad and I are
the co-founders of Super CrucialLeader Retreat.
If you go to our website,supercrucialleadercom, you'll
see more.
(31:31):
Our next retreat is November5th to 7th.
Registration is now open.
And if you're thinking toyourself, well, why would we
want to go to spend time withCheryl and Brad for three days?
Well, more of what you heard onthis particular podcast and
previous ones that we've done onLinkedIn Live.
But more important than that isthe contextualization.
So you know, information isonly as good as the context that
(31:54):
is behind it, and so, with myover 20 plus years as a
leadership expert, future ofwork researcher Brad's over
however many years, the same inleadership in branding, in
marketing, in business.
That's context, and we'll behaving special guests and
special activities as well.
So if you're looking to beinspired, innovative, hearing
(32:18):
some really cool things that youcan apply in the workplace
right away, you might want toconsider signing up
Supercrucialleadercom.
Speaker 2 (32:23):
Yeah, and we're fun, and we're fun, it'll be fun, and
we are fun too.
There's that as well.
Speaker 1 (32:29):
Yeah, that's right, Thanks everybody.
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