November 13, 2025 • 48 mins
Join Dr. Lewis in a conversation with Jason Michael Perry. Jason is the Founder/Chief AI Officer at PerryLabs, where he helps organizations build smarter with artificial intelligence, turning complex technology into practical, human-centered solutions. Jason brings both technical depth and a relatable, ground-level view of how AI is reshaping work, leadership, and everyday life. Website: perrylabs.io
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Success 4 Women is broadcast live Thursdays at 2PM ET on W4WN Radio - Women 4 Women Network (www.w4wn.com) part of Talk 4 Radio (www.talk4radio.com) on the Talk 4 Media Network (www.talk4media.com). Success 4 Women TV Show is viewed on Talk 4 TV (www.talk4tv.com).
Success 4 Women Podcast is also available on Talk 4 Media (www.talk4media.com), Talk 4 Podcasting (www.talk4podcasting.com), iHeartRadio, Amazon Music, Pandora, Spotify, Audible, and over 100 other podcast outlets.
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Speaker 1 (00:00):
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(00:20):
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Speaker 2 (00:25):
Success successful.
Speaker 3 (00:30):
Such successful women?
Speaker 4 (00:57):
Did you know women represent just three of Fortune five
hundred CEOs and less than fifteen percent of corporate executives
at top companies worldwide? Have you wondered what the secrets
are to getting into the top ranks, whether in the
private or public sector. Do you want to figure out
how to stop being held back in your career? Are
(01:20):
passed over for promotion, then you're in the right place.
Speaker 2 (01:24):
Hi.
Speaker 4 (01:25):
I'm doctor Matlanane lewis President and CEO of the Executive
Women's Success Institute. I have decades of experience in the military,
the federal government, and corporate America, and my mission is
to help women succeed and tap into their full potential.
I want to reach a million plus women around the
(01:45):
world to become the leaders they are meant to be.
So if you want to move into a management or
executive level position, or maybe you are a female veteran
transitioning out of the military into business entrepreneurship, and then
reach out to the Executive Women's Success Institute at three
zero one six nine three three two eighty four let
(02:09):
us get you on the fast track to success. Well, Hello,
and welcome to the Success for Women Show, where you
(02:30):
can view us on Talk for TV and listen to
us on the Women for Women Network. I am doctor
Madeline Ann lewis your host, and my mission is to
help women accelerate the path to success. Well, today's topic
is what we're hearing a whole lot about all over
the place, and it's the AI evolution. And my guest
(02:55):
is mister Jason Michael Perry. Now let me give you
just a little background, mister Perry. Jason Michael Perry is
the founder and Chief AI Officer at Perry Labs, where
he helps organizations build smarter with artificial intelligence, turning complex
technology into practical, human centered solutions. With more than two
(03:21):
decades of experience in leading engineering and product teams across startups, government,
and Fortune fifty companies, Jason brings both technical depth and
relatable ground level view of how AI is reshaping work, leadership,
and everyday life. He's the author of The AI Evolution
(03:45):
and the creator of Thoughts on Tech and Things, a
newsletter and podcast produced with WYPR that explores the human
side of emerging technology. Also led AI in a Minor
an award winning collaboration with the Baltimore Symphony Orchestra and
(04:09):
AWS that blended classical music with AI composed performances, showcasing
how creativity and technology can work together rather than competing.
I'd like to welcome to the show, mister Jason, Michael Perry.
Speaker 2 (04:30):
Hello, thank you. Doctor Mallin.
Speaker 4 (04:32):
Hi, how are you. It's great to have you on here.
You know, everybody's talking about AI. We're seeing so much
about AI. Every time I open up my computer, my
email is full of you need to get this. I
guess there's something to do with AI. All these different components.
It's so confusing. So we're hoping today that you're just
(04:53):
gonna shed a little bit of light on some of
this stuff that's going on, But before we get before
we get started, I always give the standard bio on
my guests, but I also like to just find out,
why don't you just tell us a little bit about
what you want us to know about Jason Michael Perry.
Speaker 5 (05:15):
Well, I always say I'm Jason Michael Perry. I always
say I go by the three first names. But the
last three four years, I've just been immersed in everything
that's happening in the space with artificial intelligence, and more importantly,
how it's helping businesses and how it's impacting businesses, and
also how it's changing our regular lives, our professional lives
(05:36):
as well as our personal lives. I spent those years
almost doing a walk about and talking with people, speaking
at events, talking at conferences, attending meetups, and took a
lot of this information as well as the consulting work
I was doing, and brought all of this into this book,
The AI Evolution, which is just really speaks to not
any of the moment, but also talks about how big
(06:00):
of a potential shift that this is for the world.
And just to quickly speak to that, one of the
things I love to say in my talks is that
the five biggest companies in the world right now by valuation,
is there Nvidia, Apple, Amazon, Google, Microsoft. These companies didn't
exist fifty one years ago. And I know that's that
(06:20):
takes a second, so let's like let that set in.
But fifty one years ago, none of these companies existed
and a lot in Microsoft just made fifty years this year.
And the thing that that all these companies have to
do is the is the technology that has had such
a big impact on who you are. So for example, uh,
(06:40):
personal computers, that's Microsoft and Apple, that's the Internet. Then
there's then there's the the modification and mobile apps, and
now we're talking about AI and that's potentially a bigger
shift than anything and that that's that's what this conversation
is about. That's what's so important right now.
Speaker 4 (06:55):
Wow, now your your book the AI Evolution? What ends
aired you to even write that book? And what do
you hope that your readers will take away from it? Because,
like I said, it's a whole lot of stuff about AI.
Speaker 5 (07:10):
I found myself talking with professionals and business owners as
well as managers and companies that were asking this question
of how do they adapt their businesses to be AI
native and to use AI in a way that will
truly impact the organizations. And to be frank, there's a
lot of companies who are just tossing the words AI
(07:31):
out there and putting it on top of their brands
or changing marketing, you know, collateral to just use words
AI without really understanding it. There's also a big void
in education because this is so new for executives of
all types.
Speaker 2 (07:46):
We're hearing these terms.
Speaker 5 (07:48):
Like agenta AI or AI workflows and they don't understand
what it means. And that's that's not that's just the
reality of how quickly these things are adapting. And so
I wanted to write something that just set and start terms.
What is the moment that we're dealing with wou'd say,
true path to understanding the needs for governance, How do
you deal with adoption? What are the issues that your
(08:08):
workforce are dealing with, What are the data issues and
the things that you need to do to make sure
that you're setting up your systems that so they're set
up in the right way to allow AI to actually
work within your organization. And that was the goal of
the book, The E Evolution. But I also wanted to
talk about it in terms of a role, which may
be a chief AI officer and maybe a director or
(08:30):
a manager, but the person who wants to really take
that hat and put it on and be that change
agent within an organization to help implement AIM.
Speaker 4 (08:41):
Well. You know, your book explores a lot about reshaping
and how AI is reshaping these businesses and the way
that they operate and make decisions. What do you think
are some of the things that organizations are that's causing
them to hold back even some of them maybe from
(09:03):
even implementing AI in the organization?
Speaker 5 (09:07):
Change management is the are the big words here that
there's a lot of fear and there's a lot of
fear from employees who are worrying that the work that
they're doing to adopt AI means that they're working themselves
out of a job. So some of those cases leads
to a lot of fear, a lot of concerns, and
also a low AI adoption, which I see in a
lot of organizations. That's a big thing, you know, to
(09:29):
just pull on that thread a little bit a little
bit more. I mentioned the top five companies by valuation.
Those are also some of the companies that are doing
the most in terms of A implementations. And there are
also some of the companies that are leading with the
most layoffs, and we're having conversations about the way that
their middle management layers are changing.
Speaker 2 (09:47):
And that's a big thing.
Speaker 5 (09:48):
The companies who were pushing to be AI native or
incorporate these technologies and deep ways or saying things like
more cross functional management, they're saying things like how do
I reduce the amount of managers that we have and
how do I scale our individual contributors. These are things
that are going to impact you one way or another.
It may take longer for it to hit your industry
(10:09):
or your organization type, you know, and you may see
it happen more with technology companies first. But understanding these things,
understanding the change is part of it. Understanding and seeing
the wave that's coming. Is that you figure out how
you want your business to adapt or how do you
define this thing is important. The other big thing I
would say is that for companies who say we're blocking
(10:31):
AI or we're not ready to say what we're doing,
that that's the worst scenario to be in. And that
leads to what we call in our industry and the
tech industry chatter. I team, which is a simple way
of saying that people are using the tools regardless of whether.
Speaker 2 (10:46):
You say that they can or they can't.
Speaker 5 (10:48):
And if you're not providing the education, then you have
a higher likelihood of these tools hallucinating, which is just
a technical way of saying is going to lie to you.
We see this with law firms and all over the place,
where it's generating things that are not true. If you're
not teaching your workforce understand this, you're you're increasing your
risk profile, you're putting yourself in put in legal peril,
(11:09):
and you're not doing the things that are necessary as
an organization to make sure that your team is ready.
And so this is a this is a really complicated
thing of how do you get the adoption, how do
you how do you do it change management to bring
your teams along, How do you provide the education to
make sure they're using the tools, How do you make
sure that you're providing the tools, how do you roll
out governance when you have a technology's changing every three
(11:31):
to six months and all this is complicated. But if
you're not making this a priority, then it's happening without
you being in control of it, which is a worst scenario,
and that means that these things are happening without anyone
with your organization and the grasp, but the risk that
is possibly there for your for your company exactly.
Speaker 4 (11:52):
Yeah, I know that well a little bit. I'm going
to make sure that I say that. That I know
about AI is that a lot of the tools, even
you know a lot of people use the check GVT.
I mean, you can train it or teach it to
(12:13):
pick up I guess your personality sort of speak, so
that when you ask it to do something, it really
will take on your tone or your voice or what
have you. And I understand that, and I guess that's
where maybe the fear comes in. You think with some
people when they think about, Okay, if I implement this
and it's in my business, the employees, like you said,
(12:37):
will think that it's gonna take them out of a job,
because I mean, isn't And this may be one of
the lower level parts of AI. But even when you
go into the supermarket and you have the checkout, the
self checkout, isn't that a part somewhat of AI because
it's doing it all by itself. You know, all you
(12:58):
do is stand there and scan your stuff. And it
takes your money, takes your card, what have you, and
then you're out the door. And so they don't need
an employee other than to stand there to make sure
that you're scanning everything you know and not not doing
what you're supposed to do. But like you said, and
then you have the legal part of it. I know that.
(13:21):
For example, if you're someone who say, you decide you
want to create websites for someone, then you also have
to make sure that you I would think, uh, there's
there's also going to be a part of it that
you're going to have to make sure that the legal
part or whatever however you set it up, especially if
the person is going to be have it where you
(13:44):
they take money, some kind of way collect money, there's
also that. So then, like you said, it's a lot
that you have to, you know, make sure that it
has even though it changes, but it changes so quickly.
I think that the part.
Speaker 5 (14:02):
So I think that I have a unique perspective of
this and not just me, but I think software engineers
and technologists and futurists do. And that's that Over the
twenty plus years that I've been at this, I've watched
the software and the twos that I use become obsolete
over and over and over again. The things that were
standard five years ago, the books that I wrote ten
(14:24):
years ago, those things are technologies that don't exist, and
I've had to consistently recreate myself. That's not a thing
that most industries are, most jobs that've had to deal with.
There's incremental growth, but not growth at the speed that
technology has been at, where every few years what you're
working on just no longer makes sense, or there's a
new version.
Speaker 2 (14:42):
Now.
Speaker 5 (14:43):
I would say that automation is nothing new. It's been happening.
But the way that I term this is that the
thing that multiplies someone's ability, the thing that scales someone's
ability to do whatever it is that you do, it
makes you able to do something faster as someone else's automated.
Speaker 2 (15:00):
And you can look at that in any way you want.
Speaker 5 (15:02):
Maybe that means that now you can do the things
that require you to go to a music studio to record,
and you can do that now in your house and
your room. And maybe that means instead of meeting ten people,
you can do it all by yourself. That is scaling
your potential, But at the same time it is automation
that is also meaning that there are other roles that
may not be there. When I have these conversations with
(15:25):
businesses and with teams, and I say this in my book,
everyone who I know has always said to me, I
wish I could stop doing X so I could focus
my attention on doing why.
Speaker 2 (15:36):
And I don't care what it is.
Speaker 5 (15:37):
I don't know how many people I've talked to who
said that we possibly have a two, not just automation,
but something that is a subjective, capable two that can
do things in a way to like a human that
early on right now, that could maybe take X off
of your plate.
Speaker 2 (15:53):
Is there enough why?
Speaker 5 (15:55):
And if here's another way to say that, what is
it that you really do think that we have a
problem just in terms of how we define our jobs.
Speaker 2 (16:03):
You might call me a coder. That's that's not what
I do.
Speaker 5 (16:07):
I write code, but code is like the least important
part of the thing that I do. You might call
someone a writer, and I would argue some writers who
will very much disagree with me, that maybe writing is
not the most important thing that you do. Maybe it's
the storytelling, maybe it's the interviews, maybe it's the it's
your ability to connect characters in a way that no
(16:28):
one else can and the words are important, but not
as important. We see this already in jobs when when
you look at the most tactical positions, in entry level positions,
they are written in the most tactical way. You're a writer.
But then you think about the things that boils up
to a creative director. What does that do well? That's
conceptual in thought process? And so we have to start
(16:50):
redefining where we are in this value chain. And if
you find that the only value that you have is tactical,
I don't care what it is, if you're if you're
in retail, or where it is, you're going to find
that those are jobs that are more susceptible to automation
than those jobs that require you to use the human
abilities that are a little bit more complicated. And I
think for all of us we have to start asking
(17:12):
that question, have you been spending on one X? And
is there a lot of value and why that you
can add to an organization have more impact than you realize.
I'll add to this that some of the things I
am the most interesting here are that the folks who
are having the hardest time right now career wise, are
entry level and fresh out of college kids.
Speaker 2 (17:32):
These are the folks who are struggling the most.
Speaker 5 (17:34):
And one of the things that's amazing about AI is
that because it accelerates the potential of a person, it
can take a person and this is vibe coding, vibe
marketing in these different words that you may hear, and
it can accelerate their abilities. So one person can do
the work of ten or twenty, you know, or you
may hear even cases where a person can do the
work of one hundred. I'm not saying all of those
(17:54):
are going to be the numbers that you hit. But
when that happens, the thing that becomes incredibly important is
subject matter expertise and experience. And you're finding and I
think what we're finding in the AI place is that experience.
It's hard to get the creative director and an organization
has that experience that allows an unlocked potential when you
(18:15):
give them the ability to have a bunch of systems
that can do the more tactile work. And that's the
complicated place that we that we sit in. But if
you have that subject matter expertise, you have right now
the ability unlocked potential that you may not have ever
been able to do with the power of AI.
Speaker 4 (18:33):
So that brings me to the question of why is
the role of the chief AI officer becoming so essential,
especially for modern organizations.
Speaker 5 (18:45):
So at a large company of fortune fifty, one of
the biggest problems and you know, I'll use it. I
would just like say, in terms of football, who has
the football right, who's the quarterback? And that is difficult
in large businesses of fortune five hundred and bigger because
they have possibly a chief Digital Officer, Chief Data Officer CIO, right,
(19:05):
and all of these roles.
Speaker 2 (19:07):
Potentially in a CEO CFO.
Speaker 5 (19:09):
You can go through all these roles kind of are
around this thing. And giving someone the clear authority to
say that you're the person's responsible for figuring out how
we implement AI when it touches all of those things
is incredibly important and it's something that not most organizations
are doing. It's really easy to look at the technical people,
the CTO, the CIO and say that it's their responsibility.
(19:32):
But one of the biggest things I think we've talked
about here in this conversation with rolling out AI is education,
it's change management, and it's also the understanding of processes,
your SOPs, your standard operating procedures, and looking at those
processes to figure out how you can change those workflows
to be AI enabled. It's supported by technical team members,
(19:56):
but a lot of this work is not necessarily as technical,
and it's doing that with data, it's doing that with
the support of the systems that back in and so
I'm not saying that this is not your technical folks.
What I'm saying is that is important to take a
step back and understand all of the things that are
being impacted across the organization and understand that this is
a cross functional thing that requires you to give someone
(20:18):
the power to work across the organization, where you may
have someone who's in charge of your data, someone's in
charge it, someone's in charge of your operations and your
processes that can work across those team members to help
implement these things while also understanding the soft skills change management.
How do you bring your team around the difference between
an adoption of ten to twenty percent versus an adoption
(20:40):
of sixty to eighty percent and using AIOS is millions,
millions of dollars, and just that thing of making sure
you have someone who can help bring a loan and
pull your team to use these tools and do it
in the way that it's impactful. Can be huge in
terms of the ro potential for a company in a business.
Speaker 4 (21:00):
Yeah, it's yeah, that definitely definitely an area to get into.
But for the companies that aren't ready for a chief
AI officer, what practical steps can the leaders take to
start preparing now?
Speaker 5 (21:18):
I think one of the first things that you can
do is you can start to make sure that you're
documenting your standard operating procedures, that you understand the way
that your processes work, whatever they are, no matter how
small or no matter how small you are. This is
a thing that will just give you immense value to
put on paper and say this is how my processes work.
(21:38):
But that also gives you the opportunity to start looking
at places where you can automate or at AI to
those processes in the long term. Another thing is to
start to take a look at your data and wrinle it.
I'll try not to get to overly technical here, but
one of the things that's happened in the world where
a lot of small businesses and medium businesses rely on
(22:00):
on SaaS platforms is that they have an approach that's
called best to breed, which means that you probably have
a system that's your CRM, you have a system for
your accounting, you have a system for you know this
and this and that, as opposed to more old school
traditional things, whereas a big old e er P or
enterprise resource platform, they did a lot of everything. And
(22:22):
some of the bigger issues that I'm starting to see
with our aimplutations for small and mid sized businesses is
that it's just hard to get these things to talk together.
We have three, four or five different platforms, and just
knowing that all your customer records are here, but all
of your product of information is here, and you want
the ability to personalize things, well, AI can do that,
(22:42):
but first we have to deal with these first issues
of understanding how we make these data pieces connect, so
getting a wrangle on what your data looks like. The
last thing I'll say is on that data wrangling side,
is that one of the best things about artificial intelligence
is that it understands nonstructured data. And just a quick
(23:05):
lesson structured data is a thing like an Excel spreadsheet
or a database. It's like really structured and you can
look at it and understand it. Unstructured data is that
there's all those word documents that you have on your
Google Drive or your one drive or whatever it is
that don't necessarily might tab information, but you have to
read it to understand it. AI is amazing and that
it can take that unstructured stuff like an image or
(23:27):
a document and it can understand what it is, and
that unlocks so much potential because if you haven't done
a lot with CHATGPT, one of the best things you
can do is drop a word documented or a PowerPoint
presentation or a pdfile and ask a question to summarize.
That's unstructured data that it can analyze understand. Yes, but
if you are an organization that has nineteen thousand versions
(23:51):
of the exact same document, all of them that are
slightly different, how do you start to take these pieces
of data and use the train?
Speaker 2 (23:57):
What if you give it something that's not right? Well,
that's true issue.
Speaker 5 (24:00):
Right now, this thing has information that's kind of weighsing
this knowledge and they can't use it. So so the
two places I say that you start off with or
or understand where your data is start to put together
policies to make sure you're keeping your data as clean
as you possibly can, and make sure you understand your processes.
And if you can do those three things. As this
(24:22):
technology starts to evolve, it becomes a lot easier to
wrap these technologies around the things that are possible use
a AIM.
Speaker 4 (24:30):
So would that those three things would that be considered
some of the biggest mistakes that organizations make when adapting AI,
or is it other things that they you know.
Speaker 5 (24:42):
One of the biggest things is that that AI needs
AI loves is data.
Speaker 2 (24:48):
Information and context.
Speaker 5 (24:50):
If you think of a you know, taking a college
kid and running them through the Deloitte Way or the
Essential Way, or any of these large organization's education programs,
is to make sure they understand how you do things.
This is the exact thing that we are all wanting
to do with our AI models. We want to take
these AI models and we want to take something that
(25:12):
has lots of general information and knowledge. It knows how
the world works, it knows about business, but it doesn't
know about your business. It doesn't know what makes you unique.
It doesn't know about your individual writing abilities, or your things.
And this is personal or this is on the business side,
And so When you can provide that context to an
instance of CHATCHBT or claud or whatever model, then you
(25:35):
can start to unlock abilities. That makes it amazing. There's
a new feature, a relatively new feature that I'm a
big fan of, called connectors that you can do now
with chatchbt as well as Claude, and this allows you
to connect it to external data sources like your Google
Drive or a HubSpot and instead of saying, hey, how
(25:55):
do I deal with X issues with the customer, you
can ask it a question that allows it to go
and pull all of the customer activity information from HubSpot
and you can start to have a conversation like can
you imagine being able to sit which attribute you talking
or writing it in the chatbot and start to have
conversations with your data sets that if all those BI
(26:17):
reports that you know, business intelligence reports and documents that
you've gotten all these years and you're like, what does
this mean?
Speaker 2 (26:24):
And you sit down with someone you're like, can you
expl what this means? Now?
Speaker 5 (26:27):
We have this tool that can take that information in
and you can have conversations with those data sets right now.
And these are the places that become amazing and start
to unlock potentials. This is that scale. If you're a
business owner and you suddenly have the ability to have
conversations with your finance data, that's that's an experience that
once you do it that first time, you're like, Wow,
(26:49):
where was this? Where was this before?
Speaker 2 (26:52):
Wow?
Speaker 4 (26:55):
It's a lot. It a lot, that's for sure. So
and based on that, how do you decide which new
technologies are worth paying attention to and which one are
just noise?
Speaker 5 (27:08):
You know, I'm gonna just shamelessly, you know, do a
plug here that this is. This is the reason that
I write the regular newsletter. This is the reason uh
that that I that I do my podcast and talk
about thoughts on tech and things that I talk about this. Uh,
it's it's the question that when I did that walk
about and I started talking with businesses, you know, it's
it's I'm a I'm an entrepreneur, I'm a business owner.
(27:30):
It's more than a full time business to run a business,
and it's very hard to stay up to date. And
for my clients and and for the folks who read
our newsletter, what I try to do is to to
keep you up to date with the things that I
think are important or interesting that you should you know,
try Uh that's not to say that everything is uh
that that you should jump on everything you know tomorrow.
This tech is evolving very quickly, but it's it's it's
(27:53):
important to keep up to date with the possibilities of
what you can do and to understand some of the
terminology when it comes out.
Speaker 4 (28:00):
Now and now, I'm going to just ask you like
a personal question on my behalf because I'm doing the
AI certification, so I'm trying to get so I can understand,
like you say, this AI technology because it is not
going away, and I know that in my business also,
(28:22):
I have to use it, so I need to be
able to understand it.
Speaker 5 (28:24):
Now.
Speaker 4 (28:25):
I know I don't have to be, you know, an
expert like you, but I do want to be able
to understand it. So what would you say going through
something like that AI training like that a certification, what
do you think is the And I'm not even sure
how to ask this question? Maybe what is the best
(28:46):
thing to focus on that would help someone like me
who don't have ten years of experience with technology like
that to be able to go through this aissation and
kind of get enough to be able to understand it.
Speaker 5 (29:04):
And I know that open AI and some of these
companies are developing, you know, workshops and certification programs. I
also know that there are a ton of organizations that
are offering them. I think that's always a great place
to start. I also offer workshops, and I think just
just committing to educating yourself is always a good thing.
The other thing is to start using it and then
(29:27):
and it doesn't You don't have to do it in
a way that feels perfect like. And I think that's
the thing that sometimes can feel like a blocker for
so many of us, is that you find yourself sitting
in front of this thing that's just a white screen
with the textbox, and it's like, what am I supposed
to do? And you kind of need like that that
how do I start? And once you start, I think
(29:49):
it unlocks things.
Speaker 2 (29:50):
Now.
Speaker 5 (29:50):
So I usually recommend I like to cook, and so
I like to recommend using chatchbt Claude, whatever I'm out
of that you're using to help you do meal planning.
And one of the things that I love about this
is you can just on your phone with chaccu, put
go into your kitchen and just take pictures of the
contents of your fridge and your pantry and send it
(30:12):
to it and say like, what kind of ideas do
you see that I can cook based on the things
that are in here? And that unlocks that possibility of
like images that are unstructured data. And you know what,
last time it was like there's some fish way back there.
I didn't even know that stuff was back there, and
it saw it and it was like, hey, you.
Speaker 2 (30:27):
Know what you can do with this? And I was like,
you know what, that that was helpful.
Speaker 5 (30:31):
But little things like that and doing things like that
that can help you in your personal life or you know,
in your business life start to like unlock things because
then you start wondering, man, what if I take a
picture of this of the of a you know, the
bike I'm trying to fix, so this thing and I
ask it questions and maybe I get answers, and it
gives you that want to experiment and try and that
(30:54):
opens up so many different doors and opportunities. That's the
thing that I say to everyone's just start doing it.
And and the great thing about having conversations with the
with the robot, with the chatbot is that you know,
no one's gonna no one's gonna point or laugh at
you or say anything you can you can, you know,
start small, just do little things, but start using it.
And the more you use it, then the more you're
(31:15):
gonna start wondering what if it could do this? And
that's some of that it might not be able to do,
you know yet. But I always remind people this is
the worst version of AI you're ever going to use.
And you know, there were a lot of things that
can do two years ago that it can do now,
and it's just getting better and better. Yeah.
Speaker 4 (31:33):
Absolutely, Like I said, it's just it's so much out
there that you really have to at least familiarize yourself
with it so that you can, you know, know what's
coming at you at least you know.
Speaker 3 (31:48):
Yeah.
Speaker 4 (31:48):
So now you you mentioned earlier about you talked about
vibe teams. What are they and how can they help organizations, uh,
stay innovative and connected?
Speaker 5 (31:59):
So I like to start with this idea of vibe
marketing or the vibe coding. So vibe marketing is a
is a good place to start. If you're a small
business owner. Let's say you wanted to do an ad campaign. Well,
you possibly have a designer that you need to bring
on to generate images. You may you know, wonder if
(32:20):
you're doing a TV commercial, maybe you need voiceovers, you
need music, you need video content, and bit by bit
you're like, you're either looking at hiring an agency or
you're hiring lots of freelancers and you're bringing all this
stuff together, and you're packaging these things together, and the
cost is, you know, it's sometimes pretty expensive for a
small business. That's the part that changes. With Vibe marketing
(32:45):
or Vibe coding, you can pretty much put Vibe in
front of anything. You can start to do these things
by combining yourself with AI tools, and you know, you
can think of it as like Iron Man. You start
putting these AI tools around you and that becomes your
team that allows you to do things in a way
that you could do before. So those examples I gave you,
(33:05):
there's a product called eleven Labs. With eleven Labs, you
can generate voiceovers that sound conversational, you can generate podcasts,
you can generate audiobooks, and now only that, you can
use voices that they've licensed. You know, Burt Reynolds, for example,
is a voice that you could use and you can
have Burt rendols, you know, doing the narration for for
(33:27):
your for your next commercial, or for your podcast if
you want, you know, for the intro. If you're talking
about image generation, there's this this product from Google called Gemini,
but the nano bananas the is the thing that everyone's
talking about. It's one of many many different image generation twos,
including the functionality that's built directly in a chat ept
(33:48):
and you can generate images with great text and and
all the things before people who complain about the fingers
now it's it's it's hard to tell that these things
are I generated. If you talk about video, there is
a product called Google Flow, but there's also now Sora,
which the Sora app is amazing from For my birthday,
(34:09):
I generated a video of of me being one of
the folks dressed as shirts versus blouses like you know
the Prince Dave Schappewe skitt you know, playing basketball. And
you can generate these things just with an idea and
they look amazing, and you scan your face it generates
video of yourself. And the tools to do these types
(34:29):
of things are getting better and better. And then the
the other that I always love to talk about. One
of my favorite apps is is sun No son No
dot ai or Suno dot com I think now these days.
But it's a music generation too. And when I tell
you it generates music, I mean, this is music that's
so good. Sometimes it's hard to tell that this is that. Like,
believe that this is AI generated and you can give
(34:50):
it a prompt.
Speaker 4 (34:51):
I heard a songer, but I'm never I've not heard
as soon.
Speaker 5 (34:54):
Oh you as s u n oh, Suno dot ai
or Suno dot com. You go, you give it a
prompt and you can tell it the style, and before
you know it, you can have something that sounds like,
you know, Michael Jackson singing a song about you know,
successful women, and it's amazing and it's it's it's it's
it's an incredible tool. But you take all these things
(35:15):
together and you start to package this stuff and suddenly
you have the ability to bring all these pieces together
with short video vignettes and music and voiceovers and images,
and you could start to create things without needing to
buy stock art or needing a photographer. And so so
I can understand why some people might feel a little
(35:37):
weird and controversy about it, you know, in some ways,
because it's taking out things that that you might have
used freelancers or others to do. But for someone who
is a small business owner who's possibly not had access
to resources, suddenly you're empowered to generate things and create
things and the way that you couldn't you couldn't do before.
Speaker 2 (35:58):
Absolutely so the.
Speaker 5 (36:01):
Idea of vibe teams is this idea of taking an
individual and empowering them by giving them access to a
series of AI tools that can accelerate and scale their abilities,
by giving them tools that allows them to do things
without with potentially having smaller human teams, but also bunches
of age agentic resources that can help to provide them
(36:23):
with the things they need to do to do different tasks.
Speaker 4 (36:27):
Wow, now this brings me to the females. How can
women and underrepresented voices lead and shape the next wave
of AI innovation.
Speaker 5 (36:42):
I think that it's important to lean in. I think
that's the best thing to do that. I love to
start with the statement about five companies the biggest valuation
not existing fifty one years ago, because I also.
Speaker 2 (36:55):
Love to say and maybe how everyone will get this.
Speaker 5 (36:58):
You know it's for a certain age rate, but but
I love to say that we are in the AOL
days of AI. Just to put in perspective how early
we are in this, in this in this wave, and
which I think so important about that is AOL, for
anyone who was around at the time, was a hugely
important company to the way that the Internet developed its success.
(37:19):
You know, many people know we got you got mail
and these things that are embedded and and pop culture
in our lives.
Speaker 2 (37:27):
That company doesn't exist today.
Speaker 5 (37:29):
That company's not here today, you know, and you look
at someone like Google or Amazon, The words e commerce
are relatively young. Those terms they're they're they're barely new.
If you think about terms like social media, social media manager,
those terms are relatively new, Those jobs are new. And
we're at this cusp right now AOL days of AI
(37:50):
where we haven't defined the words, we haven't created the vocabulary,
we haven't created the businesses. We don't know if it's
going to be open AI. Open AI might be the
next AOL and maybe a hugely important company, but there
may be something else, you know. The the I think
Amazon and Google were both founded in like late nineties,
one of them might be like early two thousand. Just
(38:11):
to put in perspective of like how long it was
in the wave from you know, where the Internet started
to where these companies started. So so what I say
to to everyone who's looking at this moment is that
this is a this is a once in a lifetime
opportunity to lean in on a technology in its infancy
that's very early on, when there's so much possibility, there's
(38:34):
terms that have created that you can that you can
create the absolute fabric for what this thing is and
the same way that Jeff Bezos did or Steve Jobs
did when they created.
Speaker 2 (38:46):
Something that we didn't know.
Speaker 5 (38:48):
And if you take advantage of the opportunity, they're the
next fifty years. They're companies that hopefully are companies that
are founded by people like us, that we can build today,
that can have an outsized and packed in the world
that that will exist because of that.
Speaker 4 (39:04):
Wow. Now, you we mentioned earlier that you're the author
of The AI Evolution. Tell us about that, and how
can the viewers get a copy of your book.
Speaker 5 (39:18):
Well, it's on Amazon, it's on Barnes and Noble. You
can also check out my personal website it's Jason M.
Perry Jasonmperry dot com and you can get to my newsletter.
The podcast as well as links to the book from there.
And again, I think it's a I mean, of course
I wrote it, so I have to say it's a
great bread. My mom loves it too, so, but I
(39:40):
think it's a great place to start wherever you are
in your journey on AI, to to get at an
idea of what's possible for your business.
Speaker 4 (39:49):
Okay, I'm gonna put your website in there so we
can have that on the screen too. Wow. So anything
coming up, any new books coming out? Are h want
to maybe you know, let us in on.
Speaker 5 (40:04):
You know right now, I'm I'm very excited about the podcast.
It's fairly new.
Speaker 2 (40:09):
Uh.
Speaker 5 (40:09):
The there's a lot of things that are happening in
the AI space in terms of technology that that we're
very excited about. Agentic AI is probably the thing that
is the big buzz right now. How do you create
workfloads of these AI bots that do things without necessarily
needing a human in the loop, you know, so that
(40:30):
they can complete tasks with you just saying it. And
this is uh, this is becoming to the point where
it can do that, but it's still very early on.
So what we're what me and my team are enjoying.
Is this helping unlock the potential and possibilities for lots
of businesses to show them just how how much is possible?
Speaker 2 (40:50):
And it's exciting. It's it's amazing times right now.
Speaker 4 (40:53):
Yes, it is so. Tell us if the viewers out
there wanted to get in touch with you, you did
mention that you do AI training, maybe they want to
get some you know, information on that. How can they
reach out to you?
Speaker 5 (41:08):
My website is always the best place to start. Www
dot Jasoniperry dot com. There's a contact form there. There's
also Perry Labs dot io www dot Perry Labs dot io,
which is our consulting business. You can find a link
there from Jasonmperry dot com as well, and you'll find
access to our workshops, contact forms to get in touch
(41:30):
with me, and I'm always happy to talk with anyone.
You can also find me on LinkedIn, Instagram, TikTok, and
all of your favorite social media platforms. I'm usually Jason
and Perry just like my website.
Speaker 4 (41:41):
Oh wow, good to have you. Thank you so much
for coming and sharing those nuggets with us. It has
been a pleasure. As I said, with AI out there,
I know a lot of people are confused and trying
to figure it out, so we do appreciate you coming
in at least giving us a little bit of your
(42:02):
knowledge so that we can try to figure this thing
out and make sure that, like you said, implement it
because it's not it's really not going away, so we
definitely have to find out more about it. So thank
you so much for joining me today. I really appreciate you.
Speaker 2 (42:17):
It was my pleasure, Doctor Medlin, I appreciate.
Speaker 4 (42:19):
It, alrighty, you take care, thank you. Wow. So Nick,
I just want to tell everybody a little bit of
what's going to be going on, just another edition of
upcoming events around town with me. I'm honored to share
that I was selected as one of the She Rises
Studios three hundred and sixty five features for November. So
(42:44):
you'll be able to see that the link I had
placed the link on LinkedIn. If anyone follows me on
LinkedIn Facebook, you'll be able to read what they published
about me. And of course, the she Rises Studios is
founded by Hannah Olivis and Adriana Luna and it is
(43:06):
it's a platform that where you can share your stories
where they elevate they brands and inspire others, and they
have a strong presence in Los Angeles and Las Vegas,
and their mission continues to uplift and unite women around
the world. So I'm always glad to connect with organizations
that do that. It was a privilege to be featured
(43:28):
alongside a lot of those phenomenal women that they also
spotlighted in that. And I am still excited about the
Successful Women Radio Show making the list of the top
one hundred best Career, Mindset and Working Women podcasts, and
that we are proudly sitting at number sixteen on the list,
(43:51):
which I think is not bad if I say so myself.
This list highlights podcasts that empower women to build successful career,
navigate workplace challenges, and find truth fulfillment in work and life.
And so again I'm honored to be among those that
placed on the list. Make sure to check out my
(44:13):
book show Up to Rise Up Explore the Transformative Power
of a Positive Mindset, which achieved bestseller status on Amazon
in the Women and Business category, and it's available for
purchase on Amazon. As I said, so, if you go
to Amazon, put in my name in the search box,
Doctor Madeleine and Lewis. The book will come right up. Also,
(44:37):
do not forget to if you have not viewed my
TEDx talk that I did in Vancouver, Canada. Yes it
was in twenty twenty one, but make sure to do
so because the topic is show up to Rise Up.
You can watch it on YouTube again. Just put my
name in the search box doctor Madeline and Lewis and
it'll come up or you. If you want the direct link,
(44:58):
you can email me at info at exwsi dot com
and I'll send you the link. Check it out. Continue
For those that have been supporting me and sharing it
and support liking and commenting, please keep doing so. Right now,
it's at two hundred twenty six seven hundred and fifty
(45:21):
eight views. Of course, you know we're trying to reach
that one million marks, so keep pushing it out there.
I really do appreciate you. And finally, I'm also a
contributing writer to own It magazine, where I share nuggets
and resources every month. On It magazine is a resource
(45:42):
for personal and professional development and also business development, so
make sure if you want to get a free subscription,
you can let me know and you can contact me
again at info at EXWSI dot com and just put
subscription for on It magazine in the subject line and
(46:03):
I'll get back to you again. I would like to
thank my guests, mister Jason Michael Perry, and my viewers
and listeners for joining me today. This is the success
for Women's show. I'm doctor Madeline and Lewis and if
you'd like to reach out to me, you can email
me at info at EXWSI dot com or go to
(46:25):
my website which is www dot exwsi dot com. And
while you're there, make sure to download my free three
part video series on three things every woman should do
to position herself for executive leadership. Also, make sure to
(46:46):
sign up for my online course, which is Cracked the
Career Code. To do that, you could go to www
dot Crack the Careercode dot com. Don't forget to subscribe
to our channel. Make sure you like this episode and
also shared this episode with others. We had some great
nuggets today from Jason Michael Perry, so if you're not
(47:10):
familiar with AI you're still trying to learn AI h
some of what he talked about will definitely help you. Again,
this is a success for Women's Show. We're here every week.
I am your host, doctor Madeline and Lewis helping women
accelerate the path to success. Thank you again for joining us.
(47:31):
I love you all to life and as always, be
well and stay safe out there.
Speaker 3 (48:00):
I'm still look successful women
Speaker 2 (48:11):
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Success successful.
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Such successful women?
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Did you know women represent just three of Fortune five
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I'm doctor Matlanane lewis President and CEO of the Executive
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I want to reach a million plus women around the
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(02:09):
us get you on the fast track to success. Well, Hello,
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(02:30):
can view us on Talk for TV and listen to
us on the Women for Women Network. I am doctor
Madeline Ann lewis your host, and my mission is to
help women accelerate the path to success. Well, today's topic
is what we're hearing a whole lot about all over
the place, and it's the AI evolution. And my guest
(02:55):
is mister Jason Michael Perry. Now let me give you
just a little background, mister Perry. Jason Michael Perry is
the founder and Chief AI Officer at Perry Labs, where
he helps organizations build smarter with artificial intelligence, turning complex
technology into practical, human centered solutions. With more than two
(03:21):
decades of experience in leading engineering and product teams across startups, government,
and Fortune fifty companies, Jason brings both technical depth and
relatable ground level view of how AI is reshaping work, leadership,
and everyday life. He's the author of The AI Evolution
(03:45):
and the creator of Thoughts on Tech and Things, a
newsletter and podcast produced with WYPR that explores the human
side of emerging technology. Also led AI in a Minor
an award winning collaboration with the Baltimore Symphony Orchestra and
(04:09):
AWS that blended classical music with AI composed performances, showcasing
how creativity and technology can work together rather than competing.
I'd like to welcome to the show, mister Jason, Michael Perry.
Speaker 2 (04:30):
Hello, thank you. Doctor Mallin.
Speaker 4 (04:32):
Hi, how are you. It's great to have you on here.
You know, everybody's talking about AI. We're seeing so much
about AI. Every time I open up my computer, my
email is full of you need to get this. I
guess there's something to do with AI. All these different components.
It's so confusing. So we're hoping today that you're just
(04:53):
gonna shed a little bit of light on some of
this stuff that's going on, But before we get before
we get started, I always give the standard bio on
my guests, but I also like to just find out,
why don't you just tell us a little bit about
what you want us to know about Jason Michael Perry.
Speaker 5 (05:15):
Well, I always say I'm Jason Michael Perry. I always
say I go by the three first names. But the
last three four years, I've just been immersed in everything
that's happening in the space with artificial intelligence, and more importantly,
how it's helping businesses and how it's impacting businesses, and
also how it's changing our regular lives, our professional lives
(05:36):
as well as our personal lives. I spent those years
almost doing a walk about and talking with people, speaking
at events, talking at conferences, attending meetups, and took a
lot of this information as well as the consulting work
I was doing, and brought all of this into this book,
The AI Evolution, which is just really speaks to not
any of the moment, but also talks about how big
(06:00):
of a potential shift that this is for the world.
And just to quickly speak to that, one of the
things I love to say in my talks is that
the five biggest companies in the world right now by valuation,
is there Nvidia, Apple, Amazon, Google, Microsoft. These companies didn't
exist fifty one years ago. And I know that's that
(06:20):
takes a second, so let's like let that set in.
But fifty one years ago, none of these companies existed
and a lot in Microsoft just made fifty years this year.
And the thing that that all these companies have to
do is the is the technology that has had such
a big impact on who you are. So for example, uh,
(06:40):
personal computers, that's Microsoft and Apple, that's the Internet. Then
there's then there's the the modification and mobile apps, and
now we're talking about AI and that's potentially a bigger
shift than anything and that that's that's what this conversation
is about. That's what's so important right now.
Speaker 4 (06:55):
Wow, now your your book the AI Evolution? What ends
aired you to even write that book? And what do
you hope that your readers will take away from it? Because,
like I said, it's a whole lot of stuff about AI.
Speaker 5 (07:10):
I found myself talking with professionals and business owners as
well as managers and companies that were asking this question
of how do they adapt their businesses to be AI
native and to use AI in a way that will
truly impact the organizations. And to be frank, there's a
lot of companies who are just tossing the words AI
(07:31):
out there and putting it on top of their brands
or changing marketing, you know, collateral to just use words
AI without really understanding it. There's also a big void
in education because this is so new for executives of
all types.
Speaker 2 (07:46):
We're hearing these terms.
Speaker 5 (07:48):
Like agenta AI or AI workflows and they don't understand
what it means. And that's that's not that's just the
reality of how quickly these things are adapting. And so
I wanted to write something that just set and start terms.
What is the moment that we're dealing with wou'd say,
true path to understanding the needs for governance, How do
you deal with adoption? What are the issues that your
(08:08):
workforce are dealing with, What are the data issues and
the things that you need to do to make sure
that you're setting up your systems that so they're set
up in the right way to allow AI to actually
work within your organization. And that was the goal of
the book, The E Evolution. But I also wanted to
talk about it in terms of a role, which may
be a chief AI officer and maybe a director or
(08:30):
a manager, but the person who wants to really take
that hat and put it on and be that change
agent within an organization to help implement AIM.
Speaker 4 (08:41):
Well. You know, your book explores a lot about reshaping
and how AI is reshaping these businesses and the way
that they operate and make decisions. What do you think
are some of the things that organizations are that's causing
them to hold back even some of them maybe from
(09:03):
even implementing AI in the organization?
Speaker 5 (09:07):
Change management is the are the big words here that
there's a lot of fear and there's a lot of
fear from employees who are worrying that the work that
they're doing to adopt AI means that they're working themselves
out of a job. So some of those cases leads
to a lot of fear, a lot of concerns, and
also a low AI adoption, which I see in a
lot of organizations. That's a big thing, you know, to
(09:29):
just pull on that thread a little bit a little
bit more. I mentioned the top five companies by valuation.
Those are also some of the companies that are doing
the most in terms of A implementations. And there are
also some of the companies that are leading with the
most layoffs, and we're having conversations about the way that
their middle management layers are changing.
Speaker 2 (09:47):
And that's a big thing.
Speaker 5 (09:48):
The companies who were pushing to be AI native or
incorporate these technologies and deep ways or saying things like
more cross functional management, they're saying things like how do
I reduce the amount of managers that we have and
how do I scale our individual contributors. These are things
that are going to impact you one way or another.
It may take longer for it to hit your industry
(10:09):
or your organization type, you know, and you may see
it happen more with technology companies first. But understanding these things,
understanding the change is part of it. Understanding and seeing
the wave that's coming. Is that you figure out how
you want your business to adapt or how do you
define this thing is important. The other big thing I
would say is that for companies who say we're blocking
(10:31):
AI or we're not ready to say what we're doing,
that that's the worst scenario to be in. And that
leads to what we call in our industry and the
tech industry chatter. I team, which is a simple way
of saying that people are using the tools regardless of whether.
Speaker 2 (10:46):
You say that they can or they can't.
Speaker 5 (10:48):
And if you're not providing the education, then you have
a higher likelihood of these tools hallucinating, which is just
a technical way of saying is going to lie to you.
We see this with law firms and all over the place,
where it's generating things that are not true. If you're
not teaching your workforce understand this, you're you're increasing your
risk profile, you're putting yourself in put in legal peril,
(11:09):
and you're not doing the things that are necessary as
an organization to make sure that your team is ready.
And so this is a this is a really complicated
thing of how do you get the adoption, how do
you how do you do it change management to bring
your teams along, How do you provide the education to
make sure they're using the tools, How do you make
sure that you're providing the tools, how do you roll
out governance when you have a technology's changing every three
(11:31):
to six months and all this is complicated. But if
you're not making this a priority, then it's happening without
you being in control of it, which is a worst scenario,
and that means that these things are happening without anyone
with your organization and the grasp, but the risk that
is possibly there for your for your company exactly.
Speaker 4 (11:52):
Yeah, I know that well a little bit. I'm going
to make sure that I say that. That I know
about AI is that a lot of the tools, even
you know a lot of people use the check GVT.
I mean, you can train it or teach it to
(12:13):
pick up I guess your personality sort of speak, so
that when you ask it to do something, it really
will take on your tone or your voice or what
have you. And I understand that, and I guess that's
where maybe the fear comes in. You think with some
people when they think about, Okay, if I implement this
and it's in my business, the employees, like you said,
(12:37):
will think that it's gonna take them out of a job,
because I mean, isn't And this may be one of
the lower level parts of AI. But even when you
go into the supermarket and you have the checkout, the
self checkout, isn't that a part somewhat of AI because
it's doing it all by itself. You know, all you
(12:58):
do is stand there and scan your stuff. And it
takes your money, takes your card, what have you, and
then you're out the door. And so they don't need
an employee other than to stand there to make sure
that you're scanning everything you know and not not doing
what you're supposed to do. But like you said, and
then you have the legal part of it. I know that.
(13:21):
For example, if you're someone who say, you decide you
want to create websites for someone, then you also have
to make sure that you I would think, uh, there's
there's also going to be a part of it that
you're going to have to make sure that the legal
part or whatever however you set it up, especially if
the person is going to be have it where you
(13:44):
they take money, some kind of way collect money, there's
also that. So then, like you said, it's a lot
that you have to, you know, make sure that it
has even though it changes, but it changes so quickly.
I think that the part.
Speaker 5 (14:02):
So I think that I have a unique perspective of
this and not just me, but I think software engineers
and technologists and futurists do. And that's that Over the
twenty plus years that I've been at this, I've watched
the software and the twos that I use become obsolete
over and over and over again. The things that were
standard five years ago, the books that I wrote ten
(14:24):
years ago, those things are technologies that don't exist, and
I've had to consistently recreate myself. That's not a thing
that most industries are, most jobs that've had to deal with.
There's incremental growth, but not growth at the speed that
technology has been at, where every few years what you're
working on just no longer makes sense, or there's a
new version.
Speaker 2 (14:42):
Now.
Speaker 5 (14:43):
I would say that automation is nothing new. It's been happening.
But the way that I term this is that the
thing that multiplies someone's ability, the thing that scales someone's
ability to do whatever it is that you do, it
makes you able to do something faster as someone else's automated.
Speaker 2 (15:00):
And you can look at that in any way you want.
Speaker 5 (15:02):
Maybe that means that now you can do the things
that require you to go to a music studio to record,
and you can do that now in your house and
your room. And maybe that means instead of meeting ten people,
you can do it all by yourself. That is scaling
your potential, But at the same time it is automation
that is also meaning that there are other roles that
may not be there. When I have these conversations with
(15:25):
businesses and with teams, and I say this in my book,
everyone who I know has always said to me, I
wish I could stop doing X so I could focus
my attention on doing why.
Speaker 2 (15:36):
And I don't care what it is.
Speaker 5 (15:37):
I don't know how many people I've talked to who
said that we possibly have a two, not just automation,
but something that is a subjective, capable two that can
do things in a way to like a human that
early on right now, that could maybe take X off
of your plate.
Speaker 2 (15:53):
Is there enough why?
Speaker 5 (15:55):
And if here's another way to say that, what is
it that you really do think that we have a
problem just in terms of how we define our jobs.
Speaker 2 (16:03):
You might call me a coder. That's that's not what
I do.
Speaker 5 (16:07):
I write code, but code is like the least important
part of the thing that I do. You might call
someone a writer, and I would argue some writers who
will very much disagree with me, that maybe writing is
not the most important thing that you do. Maybe it's
the storytelling, maybe it's the interviews, maybe it's the it's
your ability to connect characters in a way that no
(16:28):
one else can and the words are important, but not
as important. We see this already in jobs when when
you look at the most tactical positions, in entry level positions,
they are written in the most tactical way. You're a writer.
But then you think about the things that boils up
to a creative director. What does that do well? That's
conceptual in thought process? And so we have to start
(16:50):
redefining where we are in this value chain. And if
you find that the only value that you have is tactical,
I don't care what it is, if you're if you're
in retail, or where it is, you're going to find
that those are jobs that are more susceptible to automation
than those jobs that require you to use the human
abilities that are a little bit more complicated. And I
think for all of us we have to start asking
(17:12):
that question, have you been spending on one X? And
is there a lot of value and why that you
can add to an organization have more impact than you realize.
I'll add to this that some of the things I
am the most interesting here are that the folks who
are having the hardest time right now career wise, are
entry level and fresh out of college kids.
Speaker 2 (17:32):
These are the folks who are struggling the most.
Speaker 5 (17:34):
And one of the things that's amazing about AI is
that because it accelerates the potential of a person, it
can take a person and this is vibe coding, vibe
marketing in these different words that you may hear, and
it can accelerate their abilities. So one person can do
the work of ten or twenty, you know, or you
may hear even cases where a person can do the
work of one hundred. I'm not saying all of those
(17:54):
are going to be the numbers that you hit. But
when that happens, the thing that becomes incredibly important is
subject matter expertise and experience. And you're finding and I
think what we're finding in the AI place is that experience.
It's hard to get the creative director and an organization
has that experience that allows an unlocked potential when you
(18:15):
give them the ability to have a bunch of systems
that can do the more tactile work. And that's the
complicated place that we that we sit in. But if
you have that subject matter expertise, you have right now
the ability unlocked potential that you may not have ever
been able to do with the power of AI.
Speaker 4 (18:33):
So that brings me to the question of why is
the role of the chief AI officer becoming so essential,
especially for modern organizations.
Speaker 5 (18:45):
So at a large company of fortune fifty, one of
the biggest problems and you know, I'll use it. I
would just like say, in terms of football, who has
the football right, who's the quarterback? And that is difficult
in large businesses of fortune five hundred and bigger because
they have possibly a chief Digital Officer, Chief Data Officer CIO, right,
(19:05):
and all of these roles.
Speaker 2 (19:07):
Potentially in a CEO CFO.
Speaker 5 (19:09):
You can go through all these roles kind of are
around this thing. And giving someone the clear authority to
say that you're the person's responsible for figuring out how
we implement AI when it touches all of those things
is incredibly important and it's something that not most organizations
are doing. It's really easy to look at the technical people,
the CTO, the CIO and say that it's their responsibility.
(19:32):
But one of the biggest things I think we've talked
about here in this conversation with rolling out AI is education,
it's change management, and it's also the understanding of processes,
your SOPs, your standard operating procedures, and looking at those
processes to figure out how you can change those workflows
to be AI enabled. It's supported by technical team members,
(19:56):
but a lot of this work is not necessarily as technical,
and it's doing that with data, it's doing that with
the support of the systems that back in and so
I'm not saying that this is not your technical folks.
What I'm saying is that is important to take a
step back and understand all of the things that are
being impacted across the organization and understand that this is
a cross functional thing that requires you to give someone
(20:18):
the power to work across the organization, where you may
have someone who's in charge of your data, someone's in
charge it, someone's in charge of your operations and your
processes that can work across those team members to help
implement these things while also understanding the soft skills change management.
How do you bring your team around the difference between
an adoption of ten to twenty percent versus an adoption
(20:40):
of sixty to eighty percent and using AIOS is millions,
millions of dollars, and just that thing of making sure
you have someone who can help bring a loan and
pull your team to use these tools and do it
in the way that it's impactful. Can be huge in
terms of the ro potential for a company in a business.
Speaker 4 (21:00):
Yeah, it's yeah, that definitely definitely an area to get into.
But for the companies that aren't ready for a chief
AI officer, what practical steps can the leaders take to
start preparing now?
Speaker 5 (21:18):
I think one of the first things that you can
do is you can start to make sure that you're
documenting your standard operating procedures, that you understand the way
that your processes work, whatever they are, no matter how
small or no matter how small you are. This is
a thing that will just give you immense value to
put on paper and say this is how my processes work.
(21:38):
But that also gives you the opportunity to start looking
at places where you can automate or at AI to
those processes in the long term. Another thing is to
start to take a look at your data and wrinle it.
I'll try not to get to overly technical here, but
one of the things that's happened in the world where
a lot of small businesses and medium businesses rely on
(22:00):
on SaaS platforms is that they have an approach that's
called best to breed, which means that you probably have
a system that's your CRM, you have a system for
your accounting, you have a system for you know this
and this and that, as opposed to more old school
traditional things, whereas a big old e er P or
enterprise resource platform, they did a lot of everything. And
(22:22):
some of the bigger issues that I'm starting to see
with our aimplutations for small and mid sized businesses is
that it's just hard to get these things to talk together.
We have three, four or five different platforms, and just
knowing that all your customer records are here, but all
of your product of information is here, and you want
the ability to personalize things, well, AI can do that,
(22:42):
but first we have to deal with these first issues
of understanding how we make these data pieces connect, so
getting a wrangle on what your data looks like. The
last thing I'll say is on that data wrangling side,
is that one of the best things about artificial intelligence
is that it understands nonstructured data. And just a quick
(23:05):
lesson structured data is a thing like an Excel spreadsheet
or a database. It's like really structured and you can
look at it and understand it. Unstructured data is that
there's all those word documents that you have on your
Google Drive or your one drive or whatever it is
that don't necessarily might tab information, but you have to
read it to understand it. AI is amazing and that
it can take that unstructured stuff like an image or
(23:27):
a document and it can understand what it is, and
that unlocks so much potential because if you haven't done
a lot with CHATGPT, one of the best things you
can do is drop a word documented or a PowerPoint
presentation or a pdfile and ask a question to summarize.
That's unstructured data that it can analyze understand. Yes, but
if you are an organization that has nineteen thousand versions
(23:51):
of the exact same document, all of them that are
slightly different, how do you start to take these pieces
of data and use the train?
Speaker 2 (23:57):
What if you give it something that's not right? Well,
that's true issue.
Speaker 5 (24:00):
Right now, this thing has information that's kind of weighsing
this knowledge and they can't use it. So so the
two places I say that you start off with or
or understand where your data is start to put together
policies to make sure you're keeping your data as clean
as you possibly can, and make sure you understand your processes.
And if you can do those three things. As this
(24:22):
technology starts to evolve, it becomes a lot easier to
wrap these technologies around the things that are possible use
a AIM.
Speaker 4 (24:30):
So would that those three things would that be considered
some of the biggest mistakes that organizations make when adapting AI,
or is it other things that they you know.
Speaker 5 (24:42):
One of the biggest things is that that AI needs
AI loves is data.
Speaker 2 (24:48):
Information and context.
Speaker 5 (24:50):
If you think of a you know, taking a college
kid and running them through the Deloitte Way or the
Essential Way, or any of these large organization's education programs,
is to make sure they understand how you do things.
This is the exact thing that we are all wanting
to do with our AI models. We want to take
these AI models and we want to take something that
(25:12):
has lots of general information and knowledge. It knows how
the world works, it knows about business, but it doesn't
know about your business. It doesn't know what makes you unique.
It doesn't know about your individual writing abilities, or your things.
And this is personal or this is on the business side,
And so When you can provide that context to an
instance of CHATCHBT or claud or whatever model, then you
(25:35):
can start to unlock abilities. That makes it amazing. There's
a new feature, a relatively new feature that I'm a
big fan of, called connectors that you can do now
with chatchbt as well as Claude, and this allows you
to connect it to external data sources like your Google
Drive or a HubSpot and instead of saying, hey, how
(25:55):
do I deal with X issues with the customer, you
can ask it a question that allows it to go
and pull all of the customer activity information from HubSpot
and you can start to have a conversation like can
you imagine being able to sit which attribute you talking
or writing it in the chatbot and start to have
conversations with your data sets that if all those BI
(26:17):
reports that you know, business intelligence reports and documents that
you've gotten all these years and you're like, what does
this mean?
Speaker 2 (26:24):
And you sit down with someone you're like, can you
expl what this means? Now?
Speaker 5 (26:27):
We have this tool that can take that information in
and you can have conversations with those data sets right now.
And these are the places that become amazing and start
to unlock potentials. This is that scale. If you're a
business owner and you suddenly have the ability to have
conversations with your finance data, that's that's an experience that
once you do it that first time, you're like, Wow,
(26:49):
where was this? Where was this before?
Speaker 2 (26:52):
Wow?
Speaker 4 (26:55):
It's a lot. It a lot, that's for sure. So
and based on that, how do you decide which new
technologies are worth paying attention to and which one are
just noise?
Speaker 5 (27:08):
You know, I'm gonna just shamelessly, you know, do a
plug here that this is. This is the reason that
I write the regular newsletter. This is the reason uh
that that I that I do my podcast and talk
about thoughts on tech and things that I talk about this. Uh,
it's it's the question that when I did that walk
about and I started talking with businesses, you know, it's
it's I'm a I'm an entrepreneur, I'm a business owner.
(27:30):
It's more than a full time business to run a business,
and it's very hard to stay up to date. And
for my clients and and for the folks who read
our newsletter, what I try to do is to to
keep you up to date with the things that I
think are important or interesting that you should you know,
try Uh that's not to say that everything is uh
that that you should jump on everything you know tomorrow.
This tech is evolving very quickly, but it's it's it's
(27:53):
important to keep up to date with the possibilities of
what you can do and to understand some of the
terminology when it comes out.
Speaker 4 (28:00):
Now and now, I'm going to just ask you like
a personal question on my behalf because I'm doing the
AI certification, so I'm trying to get so I can understand,
like you say, this AI technology because it is not
going away, and I know that in my business also,
(28:22):
I have to use it, so I need to be
able to understand it.
Speaker 5 (28:24):
Now.
Speaker 4 (28:25):
I know I don't have to be, you know, an
expert like you, but I do want to be able
to understand it. So what would you say going through
something like that AI training like that a certification, what
do you think is the And I'm not even sure
how to ask this question? Maybe what is the best
(28:46):
thing to focus on that would help someone like me
who don't have ten years of experience with technology like
that to be able to go through this aissation and
kind of get enough to be able to understand it.
Speaker 5 (29:04):
And I know that open AI and some of these
companies are developing, you know, workshops and certification programs. I
also know that there are a ton of organizations that
are offering them. I think that's always a great place
to start. I also offer workshops, and I think just
just committing to educating yourself is always a good thing.
The other thing is to start using it and then
(29:27):
and it doesn't You don't have to do it in
a way that feels perfect like. And I think that's
the thing that sometimes can feel like a blocker for
so many of us, is that you find yourself sitting
in front of this thing that's just a white screen
with the textbox, and it's like, what am I supposed
to do? And you kind of need like that that
how do I start? And once you start, I think
(29:49):
it unlocks things.
Speaker 2 (29:50):
Now.
Speaker 5 (29:50):
So I usually recommend I like to cook, and so
I like to recommend using chatchbt Claude, whatever I'm out
of that you're using to help you do meal planning.
And one of the things that I love about this
is you can just on your phone with chaccu, put
go into your kitchen and just take pictures of the
contents of your fridge and your pantry and send it
(30:12):
to it and say like, what kind of ideas do
you see that I can cook based on the things
that are in here? And that unlocks that possibility of
like images that are unstructured data. And you know what,
last time it was like there's some fish way back there.
I didn't even know that stuff was back there, and
it saw it and it was like, hey, you.
Speaker 2 (30:27):
Know what you can do with this? And I was like,
you know what, that that was helpful.
Speaker 5 (30:31):
But little things like that and doing things like that
that can help you in your personal life or you know,
in your business life start to like unlock things because
then you start wondering, man, what if I take a
picture of this of the of a you know, the
bike I'm trying to fix, so this thing and I
ask it questions and maybe I get answers, and it
gives you that want to experiment and try and that
(30:54):
opens up so many different doors and opportunities. That's the
thing that I say to everyone's just start doing it.
And and the great thing about having conversations with the
with the robot, with the chatbot is that you know,
no one's gonna no one's gonna point or laugh at
you or say anything you can you can, you know,
start small, just do little things, but start using it.
And the more you use it, then the more you're
(31:15):
gonna start wondering what if it could do this? And
that's some of that it might not be able to do,
you know yet. But I always remind people this is
the worst version of AI you're ever going to use.
And you know, there were a lot of things that
can do two years ago that it can do now,
and it's just getting better and better. Yeah.
Speaker 4 (31:33):
Absolutely, Like I said, it's just it's so much out
there that you really have to at least familiarize yourself
with it so that you can, you know, know what's
coming at you at least you know.
Speaker 3 (31:48):
Yeah.
Speaker 4 (31:48):
So now you you mentioned earlier about you talked about
vibe teams. What are they and how can they help organizations, uh,
stay innovative and connected?
Speaker 5 (31:59):
So I like to start with this idea of vibe
marketing or the vibe coding. So vibe marketing is a
is a good place to start. If you're a small
business owner. Let's say you wanted to do an ad campaign. Well,
you possibly have a designer that you need to bring
on to generate images. You may you know, wonder if
(32:20):
you're doing a TV commercial, maybe you need voiceovers, you
need music, you need video content, and bit by bit
you're like, you're either looking at hiring an agency or
you're hiring lots of freelancers and you're bringing all this
stuff together, and you're packaging these things together, and the
cost is, you know, it's sometimes pretty expensive for a
small business. That's the part that changes. With Vibe marketing
(32:45):
or Vibe coding, you can pretty much put Vibe in
front of anything. You can start to do these things
by combining yourself with AI tools, and you know, you
can think of it as like Iron Man. You start
putting these AI tools around you and that becomes your
team that allows you to do things in a way
that you could do before. So those examples I gave you,
(33:05):
there's a product called eleven Labs. With eleven Labs, you
can generate voiceovers that sound conversational, you can generate podcasts,
you can generate audiobooks, and now only that, you can
use voices that they've licensed. You know, Burt Reynolds, for example,
is a voice that you could use and you can
have Burt rendols, you know, doing the narration for for
(33:27):
your for your next commercial, or for your podcast if
you want, you know, for the intro. If you're talking
about image generation, there's this this product from Google called Gemini,
but the nano bananas the is the thing that everyone's
talking about. It's one of many many different image generation twos,
including the functionality that's built directly in a chat ept
(33:48):
and you can generate images with great text and and
all the things before people who complain about the fingers
now it's it's it's hard to tell that these things
are I generated. If you talk about video, there is
a product called Google Flow, but there's also now Sora,
which the Sora app is amazing from For my birthday,
(34:09):
I generated a video of of me being one of
the folks dressed as shirts versus blouses like you know
the Prince Dave Schappewe skitt you know, playing basketball. And
you can generate these things just with an idea and
they look amazing, and you scan your face it generates
video of yourself. And the tools to do these types
(34:29):
of things are getting better and better. And then the
the other that I always love to talk about. One
of my favorite apps is is sun No son No
dot ai or Suno dot com I think now these days.
But it's a music generation too. And when I tell
you it generates music, I mean, this is music that's
so good. Sometimes it's hard to tell that this is that. Like,
believe that this is AI generated and you can give
(34:50):
it a prompt.
Speaker 4 (34:51):
I heard a songer, but I'm never I've not heard
as soon.
Speaker 5 (34:54):
Oh you as s u n oh, Suno dot ai
or Suno dot com. You go, you give it a
prompt and you can tell it the style, and before
you know it, you can have something that sounds like,
you know, Michael Jackson singing a song about you know,
successful women, and it's amazing and it's it's it's it's
it's an incredible tool. But you take all these things
(35:15):
together and you start to package this stuff and suddenly
you have the ability to bring all these pieces together
with short video vignettes and music and voiceovers and images,
and you could start to create things without needing to
buy stock art or needing a photographer. And so so
I can understand why some people might feel a little
(35:37):
weird and controversy about it, you know, in some ways,
because it's taking out things that that you might have
used freelancers or others to do. But for someone who
is a small business owner who's possibly not had access
to resources, suddenly you're empowered to generate things and create
things and the way that you couldn't you couldn't do before.
Speaker 2 (35:58):
Absolutely so the.
Speaker 5 (36:01):
Idea of vibe teams is this idea of taking an
individual and empowering them by giving them access to a
series of AI tools that can accelerate and scale their abilities,
by giving them tools that allows them to do things
without with potentially having smaller human teams, but also bunches
of age agentic resources that can help to provide them
(36:23):
with the things they need to do to do different tasks.
Speaker 4 (36:27):
Wow, now this brings me to the females. How can
women and underrepresented voices lead and shape the next wave
of AI innovation.
Speaker 5 (36:42):
I think that it's important to lean in. I think
that's the best thing to do that. I love to
start with the statement about five companies the biggest valuation
not existing fifty one years ago, because I also.
Speaker 2 (36:55):
Love to say and maybe how everyone will get this.
Speaker 5 (36:58):
You know it's for a certain age rate, but but
I love to say that we are in the AOL
days of AI. Just to put in perspective how early
we are in this, in this in this wave, and
which I think so important about that is AOL, for
anyone who was around at the time, was a hugely
important company to the way that the Internet developed its success.
(37:19):
You know, many people know we got you got mail
and these things that are embedded and and pop culture
in our lives.
Speaker 2 (37:27):
That company doesn't exist today.
Speaker 5 (37:29):
That company's not here today, you know, and you look
at someone like Google or Amazon, The words e commerce
are relatively young. Those terms they're they're they're barely new.
If you think about terms like social media, social media manager,
those terms are relatively new, Those jobs are new. And
we're at this cusp right now AOL days of AI
(37:50):
where we haven't defined the words, we haven't created the vocabulary,
we haven't created the businesses. We don't know if it's
going to be open AI. Open AI might be the
next AOL and maybe a hugely important company, but there
may be something else, you know. The the I think
Amazon and Google were both founded in like late nineties,
one of them might be like early two thousand. Just
(38:11):
to put in perspective of like how long it was
in the wave from you know, where the Internet started
to where these companies started. So so what I say
to to everyone who's looking at this moment is that
this is a this is a once in a lifetime
opportunity to lean in on a technology in its infancy
that's very early on, when there's so much possibility, there's
(38:34):
terms that have created that you can that you can
create the absolute fabric for what this thing is and
the same way that Jeff Bezos did or Steve Jobs
did when they created.
Speaker 2 (38:46):
Something that we didn't know.
Speaker 5 (38:48):
And if you take advantage of the opportunity, they're the
next fifty years. They're companies that hopefully are companies that
are founded by people like us, that we can build today,
that can have an outsized and packed in the world
that that will exist because of that.
Speaker 4 (39:04):
Wow. Now, you we mentioned earlier that you're the author
of The AI Evolution. Tell us about that, and how
can the viewers get a copy of your book.
Speaker 5 (39:18):
Well, it's on Amazon, it's on Barnes and Noble. You
can also check out my personal website it's Jason M.
Perry Jasonmperry dot com and you can get to my newsletter.
The podcast as well as links to the book from there.
And again, I think it's a I mean, of course
I wrote it, so I have to say it's a
great bread. My mom loves it too, so, but I
(39:40):
think it's a great place to start wherever you are
in your journey on AI, to to get at an
idea of what's possible for your business.
Speaker 4 (39:49):
Okay, I'm gonna put your website in there so we
can have that on the screen too. Wow. So anything
coming up, any new books coming out? Are h want
to maybe you know, let us in on.
Speaker 5 (40:04):
You know right now, I'm I'm very excited about the podcast.
It's fairly new.
Speaker 2 (40:09):
Uh.
Speaker 5 (40:09):
The there's a lot of things that are happening in
the AI space in terms of technology that that we're
very excited about. Agentic AI is probably the thing that
is the big buzz right now. How do you create
workfloads of these AI bots that do things without necessarily
needing a human in the loop, you know, so that
(40:30):
they can complete tasks with you just saying it. And
this is uh, this is becoming to the point where
it can do that, but it's still very early on.
So what we're what me and my team are enjoying.
Is this helping unlock the potential and possibilities for lots
of businesses to show them just how how much is possible?
Speaker 2 (40:50):
And it's exciting. It's it's amazing times right now.
Speaker 4 (40:53):
Yes, it is so. Tell us if the viewers out
there wanted to get in touch with you, you did
mention that you do AI training, maybe they want to
get some you know, information on that. How can they
reach out to you?
Speaker 5 (41:08):
My website is always the best place to start. Www
dot Jasoniperry dot com. There's a contact form there. There's
also Perry Labs dot io www dot Perry Labs dot io,
which is our consulting business. You can find a link
there from Jasonmperry dot com as well, and you'll find
access to our workshops, contact forms to get in touch
(41:30):
with me, and I'm always happy to talk with anyone.
You can also find me on LinkedIn, Instagram, TikTok, and
all of your favorite social media platforms. I'm usually Jason
and Perry just like my website.
Speaker 4 (41:41):
Oh wow, good to have you. Thank you so much
for coming and sharing those nuggets with us. It has
been a pleasure. As I said, with AI out there,
I know a lot of people are confused and trying
to figure it out, so we do appreciate you coming
in at least giving us a little bit of your
(42:02):
knowledge so that we can try to figure this thing
out and make sure that, like you said, implement it
because it's not it's really not going away, so we
definitely have to find out more about it. So thank
you so much for joining me today. I really appreciate you.
Speaker 2 (42:17):
It was my pleasure, Doctor Medlin, I appreciate.
Speaker 4 (42:19):
It, alrighty, you take care, thank you. Wow. So Nick,
I just want to tell everybody a little bit of
what's going to be going on, just another edition of
upcoming events around town with me. I'm honored to share
that I was selected as one of the She Rises
Studios three hundred and sixty five features for November. So
(42:44):
you'll be able to see that the link I had
placed the link on LinkedIn. If anyone follows me on
LinkedIn Facebook, you'll be able to read what they published
about me. And of course, the she Rises Studios is
founded by Hannah Olivis and Adriana Luna and it is
(43:06):
it's a platform that where you can share your stories
where they elevate they brands and inspire others, and they
have a strong presence in Los Angeles and Las Vegas,
and their mission continues to uplift and unite women around
the world. So I'm always glad to connect with organizations
that do that. It was a privilege to be featured
(43:28):
alongside a lot of those phenomenal women that they also
spotlighted in that. And I am still excited about the
Successful Women Radio Show making the list of the top
one hundred best Career, Mindset and Working Women podcasts, and
that we are proudly sitting at number sixteen on the list,
(43:51):
which I think is not bad if I say so myself.
This list highlights podcasts that empower women to build successful career,
navigate workplace challenges, and find truth fulfillment in work and life.
And so again I'm honored to be among those that
placed on the list. Make sure to check out my
(44:13):
book show Up to Rise Up Explore the Transformative Power
of a Positive Mindset, which achieved bestseller status on Amazon
in the Women and Business category, and it's available for
purchase on Amazon. As I said, so, if you go
to Amazon, put in my name in the search box,
Doctor Madeleine and Lewis. The book will come right up. Also,
(44:37):
do not forget to if you have not viewed my
TEDx talk that I did in Vancouver, Canada. Yes it
was in twenty twenty one, but make sure to do
so because the topic is show up to Rise Up.
You can watch it on YouTube again. Just put my
name in the search box doctor Madeline and Lewis and
it'll come up or you. If you want the direct link,
(44:58):
you can email me at info at exwsi dot com
and I'll send you the link. Check it out. Continue
For those that have been supporting me and sharing it
and support liking and commenting, please keep doing so. Right now,
it's at two hundred twenty six seven hundred and fifty
(45:21):
eight views. Of course, you know we're trying to reach
that one million marks, so keep pushing it out there.
I really do appreciate you. And finally, I'm also a
contributing writer to own It magazine, where I share nuggets
and resources every month. On It magazine is a resource
(45:42):
for personal and professional development and also business development, so
make sure if you want to get a free subscription,
you can let me know and you can contact me
again at info at EXWSI dot com and just put
subscription for on It magazine in the subject line and
(46:03):
I'll get back to you again. I would like to
thank my guests, mister Jason Michael Perry, and my viewers
and listeners for joining me today. This is the success
for Women's show. I'm doctor Madeline and Lewis and if
you'd like to reach out to me, you can email
me at info at EXWSI dot com or go to
(46:25):
my website which is www dot exwsi dot com. And
while you're there, make sure to download my free three
part video series on three things every woman should do
to position herself for executive leadership. Also, make sure to
(46:46):
sign up for my online course, which is Cracked the
Career Code. To do that, you could go to www
dot Crack the Careercode dot com. Don't forget to subscribe
to our channel. Make sure you like this episode and
also shared this episode with others. We had some great
nuggets today from Jason Michael Perry, so if you're not
(47:10):
familiar with AI you're still trying to learn AI h
some of what he talked about will definitely help you. Again,
this is a success for Women's Show. We're here every week.
I am your host, doctor Madeline and Lewis helping women
accelerate the path to success. Thank you again for joining us.
(47:31):
I love you all to life and as always, be
well and stay safe out there.
Speaker 3 (48:00):
I'm still look successful women
Speaker 2 (48:11):
M
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