May 8, 2024 • 18 mins
Imagine uncovering the secrets to accelerating your business growth with AI.
That's exactly what we've got lined up for you as I, Kaylee Johnson, sit down with Ken Pomella, the visionary CEO of RevStar.
Together, we navigate the crucial considerations of wielding AI responsibly, including the ethical use and protection of data.
In our conversation, we go over how to maintain your brand's unique voice even as AI takes on a role in content production.
We also tackle the pressing issue of AI bias, highlighting why a diverse development team isn't just a good practice—it's crucial for the integrity of your AI models.
Your digital success awaits, so hit subscribe, join our vibrant community, and let's embark on this digital journey-together!
You can find Ken Pomella here:
LinkedIn: www.linkedin.com/in/pomella/.
Website: www.kenpomella.com.
Want to reach out and hear more about Digital Journey?
You can email us at kaylee@digital-journey.net or check out our website, www.digital-journey.net.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
What's up, guys?
This is Kaylee Johnson herewith Digital Journey.
If you're a person that'swanting to learn social media,
maybe that's just for youpersonally, maybe it's for your
business.
This is the right place for you.
Guys, today we have KenPalmella with us.
Thank you so much for coming onthe show.
Speaker 2 (00:18):
Thank you so much for having me.
It's a pleasure to be here.
Speaker 1 (00:21):
I'm excited.
Ken Palmella is the CEO ofRevstar and a renowned
technology thought leader.
He specializes in harnessingthe power of artificial
intelligence to drive businessgrowth and scalability.
With a distinguished careerspanning over two decades, Ken
has emerged as a pivotal figurein the tech industry.
He's dedicated to transformingbusinesses through digital
(00:43):
innovation.
His expertise lies indeveloping AI strategies that
align with business objectives,ensuring organizations remain
competitive in the rapidlyevolving digital landscape.
I'm a big fan of AI.
I love using it and I lovelearning how to use it
responsibly.
So how did you get to thispoint in your journey?
What made you interested in AIand how did you get to where you
(01:05):
are today?
Speaker 2 (01:06):
You know I've been involved with technology my
whole life.
My parents were in the businessand I kind of just grew up
around it.
I taught myself how to buildsmall applications when I was in
junior high school.
So web design business in highschool.
So even as a kid I've justalways been exposed to
technology and then I decided totake that on as a career,
(01:28):
started out as a softwareengineer.
I'm on my own business now.
The bulk of what we do hasalways been software development
, but I'm excited about AI, justlike you are, especially
generative AI, and like everyoneelse, I was playing with chat
GPT at first, but I realizedthat quickly that there's some
really great businessimplications for generative AI
(01:51):
technology.
So we quickly started to helpour existing customers make
small POCs with the AWStechnology that we partner with
and it's really beentransformative and those
projects will kind of grow andevolve and we'll open up, you
know, this service to more newcustomers as we go.
(02:11):
But you know it's a reallyexciting time.
These technologies make a hugeimpact.
So I'm right there with you andwe're going to keep helping
folks implement these in anethical and responsible way.
Speaker 1 (02:21):
And ethical and responsible is so key because
sometimes people think of AI asI'm just going to do this to get
out of work.
But people can tell.
You can tell if it's someoneusing AI to actually help others
or if it's just to make themhave less work.
So how do you see AIintelligence transforming
businesses today?
(02:42):
What are some of the mostcommon misconceptions about AI
when it comes to the businessworld?
Speaker 2 (02:46):
I think, a lot of misconceptions, but I think the
biggest one you have to becareful about is that this stuff
is inherently safe and securejust because some semi-reputable
company is publishing it, right.
So look at open AI.
People just immediately startedputting information in there
before they thought about who'slooking at this.
(03:06):
How do I classify theinformation I'm putting in?
Is this okay to make publiclyavailable?
There may not be bad intentionthere, but it's not always safe
to just take any kind ofinformation and plug it into any
AI offering of information andplug it into any AI offering.
(03:27):
What we do with customers is alittle bit different, because
we're building custom solutions,so we'll use model as a service
technologies to help us quickly, but we're training with their
data, right, so we're not takingthis and just putting it into
some public.
You know service whereeverybody that works there can
see the results.
So if we have, you know servicewhere everybody that works
there can see the results.
So if we have, you know,customers that have to deal with
(03:48):
compliance or they haveproprietary information, we can
set them up in their own cloudenvironment, train some base
models with their data and havethem securely prompt data that's
theirs with their information,you know being in a secure
environment.
Speaker 1 (04:04):
That's great and I think, since AI is newer,
everyone's jumping on thebandwagon.
And you know people like, oh,it's a robot that they don't
take into connection, thatpeople are seeing the data that
you input.
It's not just a robot storingin a way to never use again.
You know you need to beresponsible with it and you need
to understand what is it okayto put in here that I'm okay
with.
You know hundreds of thousandsof people saying eventually at
(04:26):
some point, and so being able tohave that personalized setup is
so valuable to make sure thatyou're protecting your hard work
and you're protecting what youown.
Speaker 2 (04:36):
From that aspect, I think people want to use the
tools, so you have to give themsome tool to use.
I know folks that just cut offchat GPT from the work
environment.
People work around it, right,they take the stuff home and use
it.
Yeah, exactly, people thathandled that the best did a lot
of education on it.
What can you use?
(04:57):
What are the guardrails?
Right, but they didn'tnecessarily shut it down.
You know, that was just one ofthose things where it happened
so fast.
Right, people had to react toit.
But building these tools andwhat we do inside of the
customer's environment forspecific use cases, it allows
folks to use the technology andit's very scoped to the work
(05:18):
that they're doing.
Speaker 1 (05:18):
That's so important and making sure that having that
tailorization is a way to keepeverything safe and secure while
still growing.
We all know that social mediacan be overwhelming.
You think it takes so much time.
You look at all these amazingcreators who are doing insane
viral posts and think how can Iever measure up to them?
The good thing is you don'thave to.
(05:42):
Your point for being on socialmedia is probably to earn money.
You want to increase your sales.
You want to gain more clientsso that you can have more free
time to pour into your clients,to pour into your family.
Digital Journey can help youwith that.
We have a group coachingprogram targeted specifically
for people who are overwhelmedwith social media.
(06:03):
It's really not as complicatedas you think.
We can teach you how to spend15 minutes or less a day on
social media so that you cangain more clients and you can up
your sales.
So if you want to learn more,you can go to digital-journeynet
and we'd love to help you out.
Now back to the episode.
(06:24):
So how do you maintain abalance between innovation and
practicality when it comes withimplementing AI solutions for
businesses?
Speaker 2 (06:35):
You know it's the POC model, the proof of concept
model, that we do.
So let's take some data, trainit, see the results we get.
You don't kind of take on thishuge initiative before you show
some value right, before youshow some value right.
We're doing something right nowfor a company that's in
logistics and we're taking datathat they have to automate some
of the dispatching decisionsthat are made as a you know, as
(06:58):
a very step one.
We're not rushing that rightout into production.
We'll have suggestions forexisting dispatchers further
train from their feedback.
I think it's about doing acrawl, walk, run approach with
it and making sure that it addsvalue before you make a larger
investment.
It's just a little bit aboutthe approach.
I think you have to look at itholistically for the business.
(07:19):
I just lean with that businessmindset of I want to test out
the waters before I go all in.
Speaker 1 (07:24):
Yes, so you mentioned testing.
What are some ways that peopleindividually can test that?
If they're a small business orsomeone just starting up, how
can they really see if that'swhat they need?
Speaker 2 (07:38):
If you're a developer and there's models you can
download and run on yourcomputer if it's fast enough,
right.
So that's how you can tinker.
If you're a business owner, youcan use some of these public
tools.
Just be careful about puttingyour information in there.
You can ask it questions andjust see if this technology is
something you can leverage inyour business.
For us, like I said, we quicklycan POC solutions.
They're still custom, you can'tgo buy them.
(07:59):
But we're able to get that done,sometimes in a month or two
pretty quickly, just to gainsome surface level insights and
say is this a good road to godown?
So you're not making thislarger commitment.
But yeah, it just depends onwhere you're at from a business
perspective the size of thebusiness.
Everybody has different needs,but everybody should be looking
at AI some way.
Speaker 1 (08:19):
Absolutely, and I've seen companies that what you're
saying earlier no, ai at all.
Ai can actually save a lot oftime if you know how to use it
correctly and properly.
It can also get you into a lotof trouble, especially when it
comes to ethical reasons andeven societal impacts, but it
can save you time.
Personally, I love to use AI togenerate prompts.
(08:40):
If I'm trying to think of a newpost to write, because I do a
lot with social media or if I'mtrying to figure out what's some
of the correct wording on this,I might put it in and even have
it.
Just do a proofread of somecopy.
I've done so.
Just it doesn't.
It doesn't create my content.
I create the content, but it'sa little tool there to help.
All right, this is how you canutilize it.
(09:01):
How do you approach the ethicalconsiderations and societal
impacts of deploying AIsolutions in your business?
A lot of people say you know ifyou're not doing 100% of the
work, then it's all wrong.
You know what?
How do you?
How do you broach those topics?
Speaker 2 (09:15):
I think what you said is great.
So you, you generate ideas, dosome outlines, maybe some draft
content, but you review it rightand you make sure that it's in
alignment with you know what youwant to present as a business.
I mean, here's some of thesehorror stories, right?
Unfortunately, when you have apublicly trained model like a
chat GPT, some things can pop up, but you know again, that's
(09:37):
some of those guardrails and howyou use the data.
It's like the Wild West outthere with AI.
So you want to look at thecompany's policies.
If you can't get a clear,transparent answer on how
they've trained their model, youmay not want to use it.
But I think anything you getfrom any ai model definitely
double check it.
You can't just go with whateverit gives you.
(09:59):
When you build your own modelsagain, I get that's a little bit
of an investment, but you'retraining it with your data, with
your team.
You know we we have a reallydiverse global team, so that
helps when you think about you,think about the ethics in this,
not having a bias right.
The more diverse team workingon it, the better.
But you're less likely to havestrange things in your responses
(10:23):
to your prompts when you ownthat data and you're very
careful about what data you'refeeding in your training.
I think you have the right idea.
I'd say the amount of time yousave, even if you have to do
some proofreading anddouble-checking.
It's invaluable as a smallbusiness If you can generate a
lot of content very quickly, ifyou can write emails faster
(10:46):
these very basic, repetitivetasks that are perfect for AI
and you're spending, you know,let's say, one-tenth of the time
just double checking things.
That's a huge, you know,savings for your business.
It allows you to be morecompetitive, move faster.
So, you know, the benefitsoutweigh, I think, the bad, as
long as you, you know, approachit the right way.
Speaker 1 (11:07):
I 100% agree and I really like what you said about
you know making sure that theartificial intelligence unit
you're using is accurate,especially when it comes to
numbers and statistics, becausesometimes you'd be like show me
the percentage of realtors thatare on social media and it'll
just generate a random numberand then you go look at a study
(11:28):
and you're like this is 20% off,you know, so making sure that
you're checking it and know thateven computers have bias,
because computers are made byhumans and every human has their
own lens through which theyview things.
Therefore, chat, gpt or any ofthe other ones are going to be
influenced by that.
Also, I think the idea of ifyou have the resources to create
your own AI program, like youdo, is amazing, because you know
(11:50):
the information you're puttingis correct.
It's the type of thing thatyou're going to need and you
don't have to get pulled asideby stuff where, like this, isn't
accurate at all.
Speaker 2 (11:59):
You know it's funny, these large language models are
somewhat bad at numbers.
If you give them math or thingslike that, you tend to get
weird responses where it just inthe way they work and the way
that they do their matching ontext, it's looking for what is
the most likely next responsewhen they look at numbers on the
fact that they're looking at awide range of information on the
(12:20):
internet, it can tend to pullsome inaccurate numbers into the
model.
But so you just know that thoseare things you have to research
.
You know, get just theawareness of the tool you're
using and how it works and howit was trained is really
important.
Speaker 1 (12:35):
I remember when I was in college I took a class and I
was doing physics in it and forsome of the homework, you know,
we were allowed to use AI andso I'd enter something in and
they were like try to give theman answer.
That is not even the rightanswer.
So it's knowing that even withAI, you have to take things with
a grain of salt and realizethat, yes, it's a computer, but
it's going to make mistakes also, but it can be so valuable.
(12:55):
I save so much of my time byusing AI to proofread my
material I've written or togenerate new ideas for specific
content.
I always encourage my listenersutilize AI and know how to use
it ethically so people can tellif a article you've written is
completely AI, because it's thesame 15 buzzwords used over and
(13:18):
over with the same three emojis.
But if you're willing to takethat and add my personal brand
voice to it, let me tailor it tothe way I speak in real life.
It can save you so much time.
Speaker 2 (13:28):
I don't know about when you were in school, but
when I was in school a lot ofpeople would say, hey, let me
have your paper, and then theywould just change it around.
Right, so it's, it's the sameconcept, not not that I'm
condoning that, but it happens,right.
So you still have your ownthoughts in there, right?
Like you said, people can tellyour teachers, other folks
reading this isn't you.
(13:50):
When you read it, it's, it,doesn, doesn't.
It doesn't have your uniquespin on it.
I mean, you can do sometraining, like I hear.
Here's my writing style andit's a little bit better, but
that's just not the same.
And, like you said, people cantell, and people can tell what
is genuine, but you know thereare use cases.
If you're writing a blog that'strying to give factual
information, it does that prettywell.
(14:10):
Right, saves you a lot of timewith research.
You can have GP pull thereferences.
So when I think about researchprojects, I did when I was a kid
I'm probably a little bit olderthan you but we would sit in
the library and have to go getbooks off the shelf and read
them and cite them.
This would save a ton of time,right, and the most important
part was the thoughts that I hadafter, not necessarily what
(14:31):
information I downloaded fromthose books.
Speaker 1 (14:40):
Exactly, exactly.
When I was first at college,chat GPT wasn't a thing, and so
it was always go to the library,get that stuff and then chat
GPT near the end of college cameabout, and then professors
freaked out and were like, no,you can't use chat GPT for a
single thing.
And now they're like, yeah,find references from there,
learn how to cite thingscorrectly from there.
As long as you're learning thecorrect way to do things and
you're learning how to do it,why not?
Don't have it going to writeyour paper, but show you how to
(15:03):
format a reference list.
Or even when it comes to stuffin the business world, if you're
trying to type up a contract,have it, create a general idea
of one, and then you can take itand, you know, have your lawyer
check it or you go over it, butat least go ahead and it'll add
things that you might not havethought about.
Speaker 2 (15:19):
I think you know why stop people from using the
technology.
As it grows and evolve, it'llbe more integrated in our lives,
right?
You're not going to get awayfrom it, so it's better to
embrace it and just put theright guardrails around it.
When I was a kid and theinternet first came out, there
was the same thing.
It's like you can onlyreference books.
You can't get things offline.
You know today that'sridiculous.
You'd never tell someone that,right?
Speaker 1 (15:41):
Right right.
Speaker 2 (15:43):
It changes.
Technology's interesting, right.
You know, when I was youngeryour parents probably told you
the same thing Don't get in acar with strangers.
And now you call it work.
So it always evolves.
There's this initial shock andreaction that isn't the best,
but then eventually you're likeoh, this does make life easier
and it makes sense and you'renot losing your own unique
(16:04):
thoughts that are in yourpresentation paper.
What have you right?
You're just speeding up theresearch part.
Speaker 1 (16:10):
That's very good, very true.
What's one thought you wouldwant to leave the listeners with
?
Speaker 2 (16:15):
I would say you know everybody, just play around with
these technologies, even ifit's just prompting chat.
Gpt If you know you're reallyinterested and you're looking
for a great career, downloadsome models.
You know you can build verysmall data sets on your own
computer.
I think there may be amisconception is that you have
to have giant data sets to useAI.
It's not true.
Actually, it can be costeffective to train with a
(16:37):
smaller data set if you onlyneed that.
But these are great careers.
This is a life-changingtechnology, right?
It's like I mentioned theinternet.
This is like the internet,right?
It's going to be one of thosereally game-changing
technologies for everybody.
So it's better to learn it, useit, adapt and to kind of be
afraid of it or shun it.
(16:57):
So that would be my tip.
Just say, any way you can getinvolved, depending on you know
your interest level.
But you know these are.
This is going to open up awhole new sector of jobs and
really create a lot of reallycool efficiencies for our life
that we haven't even seen.
We're just scratching thesurface.
Speaker 1 (17:13):
Absolutely Very, very true.
Keep trying new things.
So if the listeners want tohear more about you and more
about Revstar, where can we findyou?
Speaker 2 (17:21):
So the easiest way is go to my website, kenpamellacom
.
There's some information aboutRevstar there and you can check
out the Revstar site.
I have more thought leadershippieces that I publish.
I also started a thing where Iinterview other tech executives
and get their insights on thesesorts of things.
It's fun to chat with otherfolks that are leading in this
(17:43):
space, and they're all talkingabout AI too, so I think
everybody's excited about it.
That's the best way you canalso reach out.
Contact me.
I always love havingconversations and answering
questions.
Speaker 1 (17:53):
And we'll have all of that linked down below in the
description so you can check himout.
Thank you so much for coming onthe show today.
This was awesome having you.
Speaker 2 (18:01):
Thanks for having me, this was really fun.
Speaker 1 (18:04):
I hope you enjoyed that episode of Digital Journey
with Kaylee Johnson.
If you did, go ahead and hitthat like button, hit that
subscribe button, share, leteveryone know about us and
continue to listen to ourepisodes.
You can check them out.
Go hear more about AI, go hearmore about real estate, go learn
.
And thanks for listening.
What's up, guys?
This is Kaylee Johnson herewith Digital Journey.
If you're a person that'swanting to learn social media,
maybe that's just for youpersonally, maybe it's for your
business.
This is the right place for you.
Guys, today we have KenPalmella with us.
Thank you so much for coming onthe show.
Speaker 2 (00:18):
Thank you so much for having me.
It's a pleasure to be here.
Speaker 1 (00:21):
I'm excited.
Ken Palmella is the CEO ofRevstar and a renowned
technology thought leader.
He specializes in harnessingthe power of artificial
intelligence to drive businessgrowth and scalability.
With a distinguished careerspanning over two decades, Ken
has emerged as a pivotal figurein the tech industry.
He's dedicated to transformingbusinesses through digital
(00:43):
innovation.
His expertise lies indeveloping AI strategies that
align with business objectives,ensuring organizations remain
competitive in the rapidlyevolving digital landscape.
I'm a big fan of AI.
I love using it and I lovelearning how to use it
responsibly.
So how did you get to thispoint in your journey?
What made you interested in AIand how did you get to where you
(01:05):
are today?
Speaker 2 (01:06):
You know I've been involved with technology my
whole life.
My parents were in the businessand I kind of just grew up
around it.
I taught myself how to buildsmall applications when I was in
junior high school.
So web design business in highschool.
So even as a kid I've justalways been exposed to
technology and then I decided totake that on as a career,
(01:28):
started out as a softwareengineer.
I'm on my own business now.
The bulk of what we do hasalways been software development
, but I'm excited about AI, justlike you are, especially
generative AI, and like everyoneelse, I was playing with chat
GPT at first, but I realizedthat quickly that there's some
really great businessimplications for generative AI
(01:51):
technology.
So we quickly started to helpour existing customers make
small POCs with the AWStechnology that we partner with
and it's really beentransformative and those
projects will kind of grow andevolve and we'll open up, you
know, this service to more newcustomers as we go.
(02:11):
But you know it's a reallyexciting time.
These technologies make a hugeimpact.
So I'm right there with you andwe're going to keep helping
folks implement these in anethical and responsible way.
Speaker 1 (02:21):
And ethical and responsible is so key because
sometimes people think of AI asI'm just going to do this to get
out of work.
But people can tell.
You can tell if it's someoneusing AI to actually help others
or if it's just to make themhave less work.
So how do you see AIintelligence transforming
businesses today?
(02:42):
What are some of the mostcommon misconceptions about AI
when it comes to the businessworld?
Speaker 2 (02:46):
I think, a lot of misconceptions, but I think the
biggest one you have to becareful about is that this stuff
is inherently safe and securejust because some semi-reputable
company is publishing it, right.
So look at open AI.
People just immediately startedputting information in there
before they thought about who'slooking at this.
(03:06):
How do I classify theinformation I'm putting in?
Is this okay to make publiclyavailable?
There may not be bad intentionthere, but it's not always safe
to just take any kind ofinformation and plug it into any
AI offering of information andplug it into any AI offering.
(03:27):
What we do with customers is alittle bit different, because
we're building custom solutions,so we'll use model as a service
technologies to help us quickly, but we're training with their
data, right, so we're not takingthis and just putting it into
some public.
You know service whereeverybody that works there can
see the results.
So if we have, you know servicewhere everybody that works
there can see the results.
So if we have, you know,customers that have to deal with
(03:48):
compliance or they haveproprietary information, we can
set them up in their own cloudenvironment, train some base
models with their data and havethem securely prompt data that's
theirs with their information,you know being in a secure
environment.
Speaker 1 (04:04):
That's great and I think, since AI is newer,
everyone's jumping on thebandwagon.
And you know people like, oh,it's a robot that they don't
take into connection, thatpeople are seeing the data that
you input.
It's not just a robot storingin a way to never use again.
You know you need to beresponsible with it and you need
to understand what is it okayto put in here that I'm okay
with.
You know hundreds of thousandsof people saying eventually at
(04:26):
some point, and so being able tohave that personalized setup is
so valuable to make sure thatyou're protecting your hard work
and you're protecting what youown.
Speaker 2 (04:36):
From that aspect, I think people want to use the
tools, so you have to give themsome tool to use.
I know folks that just cut offchat GPT from the work
environment.
People work around it, right,they take the stuff home and use
it.
Yeah, exactly, people thathandled that the best did a lot
of education on it.
What can you use?
(04:57):
What are the guardrails?
Right, but they didn'tnecessarily shut it down.
You know, that was just one ofthose things where it happened
so fast.
Right, people had to react toit.
But building these tools andwhat we do inside of the
customer's environment forspecific use cases, it allows
folks to use the technology andit's very scoped to the work
(05:18):
that they're doing.
Speaker 1 (05:18):
That's so important and making sure that having that
tailorization is a way to keepeverything safe and secure while
still growing.
We all know that social mediacan be overwhelming.
You think it takes so much time.
You look at all these amazingcreators who are doing insane
viral posts and think how can Iever measure up to them?
The good thing is you don'thave to.
(05:42):
Your point for being on socialmedia is probably to earn money.
You want to increase your sales.
You want to gain more clientsso that you can have more free
time to pour into your clients,to pour into your family.
Digital Journey can help youwith that.
We have a group coachingprogram targeted specifically
for people who are overwhelmedwith social media.
(06:03):
It's really not as complicatedas you think.
We can teach you how to spend15 minutes or less a day on
social media so that you cangain more clients and you can up
your sales.
So if you want to learn more,you can go to digital-journeynet
and we'd love to help you out.
Now back to the episode.
(06:24):
So how do you maintain abalance between innovation and
practicality when it comes withimplementing AI solutions for
businesses?
Speaker 2 (06:35):
You know it's the POC model, the proof of concept
model, that we do.
So let's take some data, trainit, see the results we get.
You don't kind of take on thishuge initiative before you show
some value right, before youshow some value right.
We're doing something right nowfor a company that's in
logistics and we're taking datathat they have to automate some
of the dispatching decisionsthat are made as a you know, as
(06:58):
a very step one.
We're not rushing that rightout into production.
We'll have suggestions forexisting dispatchers further
train from their feedback.
I think it's about doing acrawl, walk, run approach with
it and making sure that it addsvalue before you make a larger
investment.
It's just a little bit aboutthe approach.
I think you have to look at itholistically for the business.
(07:19):
I just lean with that businessmindset of I want to test out
the waters before I go all in.
Speaker 1 (07:24):
Yes, so you mentioned testing.
What are some ways that peopleindividually can test that?
If they're a small business orsomeone just starting up, how
can they really see if that'swhat they need?
Speaker 2 (07:38):
If you're a developer and there's models you can
download and run on yourcomputer if it's fast enough,
right.
So that's how you can tinker.
If you're a business owner, youcan use some of these public
tools.
Just be careful about puttingyour information in there.
You can ask it questions andjust see if this technology is
something you can leverage inyour business.
For us, like I said, we quicklycan POC solutions.
They're still custom, you can'tgo buy them.
(07:59):
But we're able to get that done,sometimes in a month or two
pretty quickly, just to gainsome surface level insights and
say is this a good road to godown?
So you're not making thislarger commitment.
But yeah, it just depends onwhere you're at from a business
perspective the size of thebusiness.
Everybody has different needs,but everybody should be looking
at AI some way.
Speaker 1 (08:19):
Absolutely, and I've seen companies that what you're
saying earlier no, ai at all.
Ai can actually save a lot oftime if you know how to use it
correctly and properly.
It can also get you into a lotof trouble, especially when it
comes to ethical reasons andeven societal impacts, but it
can save you time.
Personally, I love to use AI togenerate prompts.
(08:40):
If I'm trying to think of a newpost to write, because I do a
lot with social media or if I'mtrying to figure out what's some
of the correct wording on this,I might put it in and even have
it.
Just do a proofread of somecopy.
I've done so.
Just it doesn't.
It doesn't create my content.
I create the content, but it'sa little tool there to help.
All right, this is how you canutilize it.
(09:01):
How do you approach the ethicalconsiderations and societal
impacts of deploying AIsolutions in your business?
A lot of people say you know ifyou're not doing 100% of the
work, then it's all wrong.
You know what?
How do you?
How do you broach those topics?
Speaker 2 (09:15):
I think what you said is great.
So you, you generate ideas, dosome outlines, maybe some draft
content, but you review it rightand you make sure that it's in
alignment with you know what youwant to present as a business.
I mean, here's some of thesehorror stories, right?
Unfortunately, when you have apublicly trained model like a
chat GPT, some things can pop up, but you know again, that's
(09:37):
some of those guardrails and howyou use the data.
It's like the Wild West outthere with AI.
So you want to look at thecompany's policies.
If you can't get a clear,transparent answer on how
they've trained their model, youmay not want to use it.
But I think anything you getfrom any ai model definitely
double check it.
You can't just go with whateverit gives you.
(09:59):
When you build your own modelsagain, I get that's a little bit
of an investment, but you'retraining it with your data, with
your team.
You know we we have a reallydiverse global team, so that
helps when you think about you,think about the ethics in this,
not having a bias right.
The more diverse team workingon it, the better.
But you're less likely to havestrange things in your responses
(10:23):
to your prompts when you ownthat data and you're very
careful about what data you'refeeding in your training.
I think you have the right idea.
I'd say the amount of time yousave, even if you have to do
some proofreading anddouble-checking.
It's invaluable as a smallbusiness If you can generate a
lot of content very quickly, ifyou can write emails faster
(10:46):
these very basic, repetitivetasks that are perfect for AI
and you're spending, you know,let's say, one-tenth of the time
just double checking things.
That's a huge, you know,savings for your business.
It allows you to be morecompetitive, move faster.
So, you know, the benefitsoutweigh, I think, the bad, as
long as you, you know, approachit the right way.
Speaker 1 (11:07):
I 100% agree and I really like what you said about
you know making sure that theartificial intelligence unit
you're using is accurate,especially when it comes to
numbers and statistics, becausesometimes you'd be like show me
the percentage of realtors thatare on social media and it'll
just generate a random numberand then you go look at a study
(11:28):
and you're like this is 20% off,you know, so making sure that
you're checking it and know thateven computers have bias,
because computers are made byhumans and every human has their
own lens through which theyview things.
Therefore, chat, gpt or any ofthe other ones are going to be
influenced by that.
Also, I think the idea of ifyou have the resources to create
your own AI program, like youdo, is amazing, because you know
(11:50):
the information you're puttingis correct.
It's the type of thing thatyou're going to need and you
don't have to get pulled asideby stuff where, like this, isn't
accurate at all.
Speaker 2 (11:59):
You know it's funny, these large language models are
somewhat bad at numbers.
If you give them math or thingslike that, you tend to get
weird responses where it just inthe way they work and the way
that they do their matching ontext, it's looking for what is
the most likely next responsewhen they look at numbers on the
fact that they're looking at awide range of information on the
(12:20):
internet, it can tend to pullsome inaccurate numbers into the
model.
But so you just know that thoseare things you have to research
.
You know, get just theawareness of the tool you're
using and how it works and howit was trained is really
important.
Speaker 1 (12:35):
I remember when I was in college I took a class and I
was doing physics in it and forsome of the homework, you know,
we were allowed to use AI andso I'd enter something in and
they were like try to give theman answer.
That is not even the rightanswer.
So it's knowing that even withAI, you have to take things with
a grain of salt and realizethat, yes, it's a computer, but
it's going to make mistakes also, but it can be so valuable.
(12:55):
I save so much of my time byusing AI to proofread my
material I've written or togenerate new ideas for specific
content.
I always encourage my listenersutilize AI and know how to use
it ethically so people can tellif a article you've written is
completely AI, because it's thesame 15 buzzwords used over and
(13:18):
over with the same three emojis.
But if you're willing to takethat and add my personal brand
voice to it, let me tailor it tothe way I speak in real life.
It can save you so much time.
Speaker 2 (13:28):
I don't know about when you were in school, but
when I was in school a lot ofpeople would say, hey, let me
have your paper, and then theywould just change it around.
Right, so it's, it's the sameconcept, not not that I'm
condoning that, but it happens,right.
So you still have your ownthoughts in there, right?
Like you said, people can tellyour teachers, other folks
reading this isn't you.
(13:50):
When you read it, it's, it,doesn, doesn't.
It doesn't have your uniquespin on it.
I mean, you can do sometraining, like I hear.
Here's my writing style andit's a little bit better, but
that's just not the same.
And, like you said, people cantell, and people can tell what
is genuine, but you know thereare use cases.
If you're writing a blog that'strying to give factual
information, it does that prettywell.
(14:10):
Right, saves you a lot of timewith research.
You can have GP pull thereferences.
So when I think about researchprojects, I did when I was a kid
I'm probably a little bit olderthan you but we would sit in
the library and have to go getbooks off the shelf and read
them and cite them.
This would save a ton of time,right, and the most important
part was the thoughts that I hadafter, not necessarily what
(14:31):
information I downloaded fromthose books.
Speaker 1 (14:40):
Exactly, exactly.
When I was first at college,chat GPT wasn't a thing, and so
it was always go to the library,get that stuff and then chat
GPT near the end of college cameabout, and then professors
freaked out and were like, no,you can't use chat GPT for a
single thing.
And now they're like, yeah,find references from there,
learn how to cite thingscorrectly from there.
As long as you're learning thecorrect way to do things and
you're learning how to do it,why not?
Don't have it going to writeyour paper, but show you how to
(15:03):
format a reference list.
Or even when it comes to stuffin the business world, if you're
trying to type up a contract,have it, create a general idea
of one, and then you can take itand, you know, have your lawyer
check it or you go over it, butat least go ahead and it'll add
things that you might not havethought about.
Speaker 2 (15:19):
I think you know why stop people from using the
technology.
As it grows and evolve, it'llbe more integrated in our lives,
right?
You're not going to get awayfrom it, so it's better to
embrace it and just put theright guardrails around it.
When I was a kid and theinternet first came out, there
was the same thing.
It's like you can onlyreference books.
You can't get things offline.
You know today that'sridiculous.
You'd never tell someone that,right?
Speaker 1 (15:41):
Right right.
Speaker 2 (15:43):
It changes.
Technology's interesting, right.
You know, when I was youngeryour parents probably told you
the same thing Don't get in acar with strangers.
And now you call it work.
So it always evolves.
There's this initial shock andreaction that isn't the best,
but then eventually you're likeoh, this does make life easier
and it makes sense and you'renot losing your own unique
(16:04):
thoughts that are in yourpresentation paper.
What have you right?
You're just speeding up theresearch part.
Speaker 1 (16:10):
That's very good, very true.
What's one thought you wouldwant to leave the listeners with
?
Speaker 2 (16:15):
I would say you know everybody, just play around with
these technologies, even ifit's just prompting chat.
Gpt If you know you're reallyinterested and you're looking
for a great career, downloadsome models.
You know you can build verysmall data sets on your own
computer.
I think there may be amisconception is that you have
to have giant data sets to useAI.
It's not true.
Actually, it can be costeffective to train with a
(16:37):
smaller data set if you onlyneed that.
But these are great careers.
This is a life-changingtechnology, right?
It's like I mentioned theinternet.
This is like the internet,right?
It's going to be one of thosereally game-changing
technologies for everybody.
So it's better to learn it, useit, adapt and to kind of be
afraid of it or shun it.
(16:57):
So that would be my tip.
Just say, any way you can getinvolved, depending on you know
your interest level.
But you know these are.
This is going to open up awhole new sector of jobs and
really create a lot of reallycool efficiencies for our life
that we haven't even seen.
We're just scratching thesurface.
Speaker 1 (17:13):
Absolutely Very, very true.
Keep trying new things.
So if the listeners want tohear more about you and more
about Revstar, where can we findyou?
Speaker 2 (17:21):
So the easiest way is go to my website, kenpamellacom
.
There's some information aboutRevstar there and you can check
out the Revstar site.
I have more thought leadershippieces that I publish.
I also started a thing where Iinterview other tech executives
and get their insights on thesesorts of things.
It's fun to chat with otherfolks that are leading in this
(17:43):
space, and they're all talkingabout AI too, so I think
everybody's excited about it.
That's the best way you canalso reach out.
Contact me.
I always love havingconversations and answering
questions.
Speaker 1 (17:53):
And we'll have all of that linked down below in the
description so you can check himout.
Thank you so much for coming onthe show today.
This was awesome having you.
Speaker 2 (18:01):
Thanks for having me, this was really fun.
Speaker 1 (18:04):
I hope you enjoyed that episode of Digital Journey
with Kaylee Johnson.
If you did, go ahead and hitthat like button, hit that
subscribe button, share, leteveryone know about us and
continue to listen to ourepisodes.
You can check them out.
Go hear more about AI, go hearmore about real estate, go learn
.
And thanks for listening.
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