Nov. 13, 2025

The AI Evolution

The AI Evolution
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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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WEBVTT

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The topics and opinions expressed on the following show are

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solely those of the hosts and their guests, and not

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those of W four WN Radio It's employees or affiliates.

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We make no recommendations or endorsements for radio show programs, services,

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or products mentioned on air or on our web. No liability,

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Radio It's employees or affiliates. Any questions or comment should

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be directed to those show hosts. Thank you for choosing

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W four WN Radios.

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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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hundred CEOs and less than fifteen percent of corporate executives

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at top companies worldwide? Have you wondered what the secrets

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are to getting into the top ranks, whether in the

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private or public sector. Do you want to figure out

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how to stop being held back in your career? Are

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passed over for promotion, then you're in the right place.

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Hi.

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I'm doctor Matlanane lewis President and CEO of the Executive

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Women's Success Institute. I have decades of experience in the military,

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the federal government, and corporate America, and my mission is

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to help women succeed and tap into their full potential.

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I want to reach a million plus women around the

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world to become the leaders they are meant to be.

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So if you want to move into a management or

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executive level position, or maybe you are a female veteran

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transitioning out of the military into business entrepreneurship, and then

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reach out to the Executive Women's Success Institute at three

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zero one six nine three three two eighty four let

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us get you on the fast track to success. Well, Hello,

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and welcome to the Success for Women Show, where you

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can view us on Talk for TV and listen to

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us on the Women for Women Network. I am doctor

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Madeline Ann lewis your host, and my mission is to

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help women accelerate the path to success. Well, today's topic

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is what we're hearing a whole lot about all over

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the place, and it's the AI evolution. And my guest

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is mister Jason Michael Perry. Now let me give you

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just a little background, mister Perry. Jason Michael Perry is

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the founder and Chief AI Officer at Perry Labs, where

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he helps organizations build smarter with artificial intelligence, turning complex

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technology into practical, human centered solutions. With more than two

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decades of experience in leading engineering and product teams across startups, government,

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and Fortune fifty companies, Jason brings both technical depth and

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relatable ground level view of how AI is reshaping work, leadership,

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and everyday life. He's the author of The AI Evolution

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and the creator of Thoughts on Tech and Things, a

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newsletter and podcast produced with WYPR that explores the human

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side of emerging technology. Also led AI in a Minor

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an award winning collaboration with the Baltimore Symphony Orchestra and

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AWS that blended classical music with AI composed performances, showcasing

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how creativity and technology can work together rather than competing.

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I'd like to welcome to the show, mister Jason, Michael Perry.

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Hello, thank you. Doctor Mallin.

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Hi, how are you. It's great to have you on here.

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You know, everybody's talking about AI. We're seeing so much

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about AI. Every time I open up my computer, my

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email is full of you need to get this. I

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guess there's something to do with AI. All these different components.

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It's so confusing. So we're hoping today that you're just

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gonna shed a little bit of light on some of

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this stuff that's going on, But before we get before

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we get started, I always give the standard bio on

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my guests, but I also like to just find out,

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why don't you just tell us a little bit about

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what you want us to know about Jason Michael Perry.

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Well, I always say I'm Jason Michael Perry. I always

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say I go by the three first names. But the

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last three four years, I've just been immersed in everything

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that's happening in the space with artificial intelligence, and more importantly,

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how it's helping businesses and how it's impacting businesses, and

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also how it's changing our regular lives, our professional lives

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as well as our personal lives. I spent those years

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almost doing a walk about and talking with people, speaking

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at events, talking at conferences, attending meetups, and took a

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lot of this information as well as the consulting work

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I was doing, and brought all of this into this book,

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The AI Evolution, which is just really speaks to not

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any of the moment, but also talks about how big

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of a potential shift that this is for the world.

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And just to quickly speak to that, one of the

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things I love to say in my talks is that

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the five biggest companies in the world right now by valuation,

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is there Nvidia, Apple, Amazon, Google, Microsoft. These companies didn't

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exist fifty one years ago. And I know that's that

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takes a second, so let's like let that set in.

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But fifty one years ago, none of these companies existed

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and a lot in Microsoft just made fifty years this year.

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And the thing that that all these companies have to

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do is the is the technology that has had such

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a big impact on who you are. So for example, uh,

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personal computers, that's Microsoft and Apple, that's the Internet. Then

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there's then there's the the modification and mobile apps, and

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now we're talking about AI and that's potentially a bigger

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shift than anything and that that's that's what this conversation

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is about. That's what's so important right now.

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Wow, now your your book the AI Evolution? What ends

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aired you to even write that book? And what do

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you hope that your readers will take away from it? Because,

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like I said, it's a whole lot of stuff about AI.

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I found myself talking with professionals and business owners as

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well as managers and companies that were asking this question

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of how do they adapt their businesses to be AI

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native and to use AI in a way that will

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truly impact the organizations. And to be frank, there's a

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lot of companies who are just tossing the words AI

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out there and putting it on top of their brands

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or changing marketing, you know, collateral to just use words

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AI without really understanding it. There's also a big void

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in education because this is so new for executives of

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all types.

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We're hearing these terms.

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Like agenta AI or AI workflows and they don't understand

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what it means. And that's that's not that's just the

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reality of how quickly these things are adapting. And so

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I wanted to write something that just set and start terms.

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What is the moment that we're dealing with wou'd say,

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true path to understanding the needs for governance, How do

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you deal with adoption? What are the issues that your

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workforce are dealing with, What are the data issues and

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the things that you need to do to make sure

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that you're setting up your systems that so they're set

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up in the right way to allow AI to actually

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work within your organization. And that was the goal of

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the book, The E Evolution. But I also wanted to

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talk about it in terms of a role, which may

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be a chief AI officer and maybe a director or

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a manager, but the person who wants to really take

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that hat and put it on and be that change

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agent within an organization to help implement AIM.

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Well. You know, your book explores a lot about reshaping

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and how AI is reshaping these businesses and the way

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that they operate and make decisions. What do you think

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are some of the things that organizations are that's causing

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them to hold back even some of them maybe from

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even implementing AI in the organization?

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Change management is the are the big words here that

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there's a lot of fear and there's a lot of

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fear from employees who are worrying that the work that

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they're doing to adopt AI means that they're working themselves

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out of a job. So some of those cases leads

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to a lot of fear, a lot of concerns, and

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also a low AI adoption, which I see in a

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lot of organizations. That's a big thing, you know, to

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just pull on that thread a little bit a little

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bit more. I mentioned the top five companies by valuation.

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Those are also some of the companies that are doing

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the most in terms of A implementations. And there are

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also some of the companies that are leading with the

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most layoffs, and we're having conversations about the way that

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their middle management layers are changing.

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And that's a big thing.

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The companies who were pushing to be AI native or

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incorporate these technologies and deep ways or saying things like

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more cross functional management, they're saying things like how do

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I reduce the amount of managers that we have and

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how do I scale our individual contributors. These are things

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that are going to impact you one way or another.

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It may take longer for it to hit your industry

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or your organization type, you know, and you may see

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it happen more with technology companies first. But understanding these things,

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understanding the change is part of it. Understanding and seeing

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the wave that's coming. Is that you figure out how

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you want your business to adapt or how do you

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define this thing is important. The other big thing I

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would say is that for companies who say we're blocking

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AI or we're not ready to say what we're doing,

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that that's the worst scenario to be in. And that

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leads to what we call in our industry and the

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tech industry chatter. I team, which is a simple way

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of saying that people are using the tools regardless of whether.

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You say that they can or they can't.

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And if you're not providing the education, then you have

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a higher likelihood of these tools hallucinating, which is just

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a technical way of saying is going to lie to you.

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We see this with law firms and all over the place,

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where it's generating things that are not true. If you're

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not teaching your workforce understand this, you're you're increasing your

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risk profile, you're putting yourself in put in legal peril,

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and you're not doing the things that are necessary as

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an organization to make sure that your team is ready.

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And so this is a this is a really complicated

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thing of how do you get the adoption, how do

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you how do you do it change management to bring

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your teams along, How do you provide the education to

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make sure they're using the tools, How do you make

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sure that you're providing the tools, how do you roll

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out governance when you have a technology's changing every three

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to six months and all this is complicated. But if

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you're not making this a priority, then it's happening without

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you being in control of it, which is a worst scenario,

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and that means that these things are happening without anyone

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with your organization and the grasp, but the risk that

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is possibly there for your for your company exactly.

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Yeah, I know that well a little bit. I'm going

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to make sure that I say that. That I know

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about AI is that a lot of the tools, even

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you know a lot of people use the check GVT.

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I mean, you can train it or teach it to

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pick up I guess your personality sort of speak, so

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that when you ask it to do something, it really

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will take on your tone or your voice or what

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have you. And I understand that, and I guess that's

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where maybe the fear comes in. You think with some

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people when they think about, Okay, if I implement this

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and it's in my business, the employees, like you said,

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will think that it's gonna take them out of a job,

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because I mean, isn't And this may be one of

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the lower level parts of AI. But even when you

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go into the supermarket and you have the checkout, the

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self checkout, isn't that a part somewhat of AI because

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it's doing it all by itself. You know, all you

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do is stand there and scan your stuff. And it

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takes your money, takes your card, what have you, and

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then you're out the door. And so they don't need

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an employee other than to stand there to make sure

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that you're scanning everything you know and not not doing

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what you're supposed to do. But like you said, and

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then you have the legal part of it. I know that.

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For example, if you're someone who say, you decide you

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want to create websites for someone, then you also have

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to make sure that you I would think, uh, there's

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there's also going to be a part of it that

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you're going to have to make sure that the legal

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part or whatever however you set it up, especially if

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the person is going to be have it where you

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they take money, some kind of way collect money, there's

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also that. So then, like you said, it's a lot

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that you have to, you know, make sure that it

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has even though it changes, but it changes so quickly.

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I think that the part.

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So I think that I have a unique perspective of

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this and not just me, but I think software engineers

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and technologists and futurists do. And that's that Over the

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twenty plus years that I've been at this, I've watched

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the software and the twos that I use become obsolete

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over and over and over again. The things that were

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standard five years ago, the books that I wrote ten

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years ago, those things are technologies that don't exist, and

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I've had to consistently recreate myself. That's not a thing

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that most industries are, most jobs that've had to deal with.

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There's incremental growth, but not growth at the speed that

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technology has been at, where every few years what you're

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working on just no longer makes sense, or there's a

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new version.

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Now.

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I would say that automation is nothing new. It's been happening.

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But the way that I term this is that the

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thing that multiplies someone's ability, the thing that scales someone's

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ability to do whatever it is that you do, it

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makes you able to do something faster as someone else's automated.

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And you can look at that in any way you want.

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Maybe that means that now you can do the things

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that require you to go to a music studio to record,

256
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and you can do that now in your house and

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your room. And maybe that means instead of meeting ten people,

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you can do it all by yourself. That is scaling

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your potential, But at the same time it is automation

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that is also meaning that there are other roles that

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may not be there. When I have these conversations with

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businesses and with teams, and I say this in my book,

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everyone who I know has always said to me, I

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wish I could stop doing X so I could focus

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my attention on doing why.

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And I don't care what it is.

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I don't know how many people I've talked to who

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said that we possibly have a two, not just automation,

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but something that is a subjective, capable two that can

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do things in a way to like a human that

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early on right now, that could maybe take X off

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of your plate.

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Is there enough why?

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And if here's another way to say that, what is

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it that you really do think that we have a

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problem just in terms of how we define our jobs.

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You might call me a coder. That's that's not what

278
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I do.

279
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I write code, but code is like the least important

280
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part of the thing that I do. You might call

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someone a writer, and I would argue some writers who

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will very much disagree with me, that maybe writing is

283
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not the most important thing that you do. Maybe it's

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the storytelling, maybe it's the interviews, maybe it's the it's

285
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your ability to connect characters in a way that no

286
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one else can and the words are important, but not

287
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as important. We see this already in jobs when when

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you look at the most tactical positions, in entry level positions,

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they are written in the most tactical way. You're a writer.

290
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But then you think about the things that boils up

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to a creative director. What does that do well? That's

292
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conceptual in thought process? And so we have to start

293
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redefining where we are in this value chain. And if

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you find that the only value that you have is tactical,

295
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I don't care what it is, if you're if you're

296
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in retail, or where it is, you're going to find

297
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that those are jobs that are more susceptible to automation

298
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than those jobs that require you to use the human

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abilities that are a little bit more complicated. And I

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think for all of us we have to start asking

301
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that question, have you been spending on one X? And

302
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is there a lot of value and why that you

303
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can add to an organization have more impact than you realize.

304
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I'll add to this that some of the things I

305
00:17:22.839 --> 00:17:25.480
am the most interesting here are that the folks who

306
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are having the hardest time right now career wise, are

307
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entry level and fresh out of college kids.

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These are the folks who are struggling the most.

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And one of the things that's amazing about AI is

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that because it accelerates the potential of a person, it

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can take a person and this is vibe coding, vibe

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marketing in these different words that you may hear, and

313
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it can accelerate their abilities. So one person can do

314
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the work of ten or twenty, you know, or you

315
00:17:50.359 --> 00:17:52.880
may hear even cases where a person can do the

316
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work of one hundred. I'm not saying all of those

317
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are going to be the numbers that you hit. But

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when that happens, the thing that becomes incredibly important is

319
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subject matter expertise and experience. And you're finding and I

320
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think what we're finding in the AI place is that experience.

321
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It's hard to get the creative director and an organization

322
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has that experience that allows an unlocked potential when you

323
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give them the ability to have a bunch of systems

324
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that can do the more tactile work. And that's the

325
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complicated place that we that we sit in. But if

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you have that subject matter expertise, you have right now

327
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the ability unlocked potential that you may not have ever

328
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been able to do with the power of AI.

329
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So that brings me to the question of why is

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the role of the chief AI officer becoming so essential,

331
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especially for modern organizations.

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So at a large company of fortune fifty, one of

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the biggest problems and you know, I'll use it. I

334
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would just like say, in terms of football, who has

335
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the football right, who's the quarterback? And that is difficult

336
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in large businesses of fortune five hundred and bigger because

337
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they have possibly a chief Digital Officer, Chief Data Officer CIO, right,

338
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and all of these roles.

339
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Potentially in a CEO CFO.

340
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You can go through all these roles kind of are

341
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around this thing. And giving someone the clear authority to

342
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say that you're the person's responsible for figuring out how

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we implement AI when it touches all of those things

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is incredibly important and it's something that not most organizations

345
00:19:26.000 --> 00:19:28.799
are doing. It's really easy to look at the technical people,

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the CTO, the CIO and say that it's their responsibility.

347
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But one of the biggest things I think we've talked

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about here in this conversation with rolling out AI is education,

349
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it's change management, and it's also the understanding of processes,

350
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your SOPs, your standard operating procedures, and looking at those

351
00:19:48.480 --> 00:19:51.559
processes to figure out how you can change those workflows

352
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to be AI enabled. It's supported by technical team members,

353
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but a lot of this work is not necessarily as technical,

354
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and it's doing that with data, it's doing that with

355
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the support of the systems that back in and so

356
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I'm not saying that this is not your technical folks.

357
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What I'm saying is that is important to take a

358
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step back and understand all of the things that are

359
00:20:11.680 --> 00:20:14.880
being impacted across the organization and understand that this is

360
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a cross functional thing that requires you to give someone

361
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the power to work across the organization, where you may

362
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have someone who's in charge of your data, someone's in

363
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charge it, someone's in charge of your operations and your

364
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processes that can work across those team members to help

365
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implement these things while also understanding the soft skills change management.

366
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How do you bring your team around the difference between

367
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an adoption of ten to twenty percent versus an adoption

368
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of sixty to eighty percent and using AIOS is millions,

369
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millions of dollars, and just that thing of making sure

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you have someone who can help bring a loan and

371
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pull your team to use these tools and do it

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in the way that it's impactful. Can be huge in

373
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terms of the ro potential for a company in a business.

374
00:21:00.720 --> 00:21:06.839
Yeah, it's yeah, that definitely definitely an area to get into.

375
00:21:07.400 --> 00:21:11.119
But for the companies that aren't ready for a chief

376
00:21:11.200 --> 00:21:15.519
AI officer, what practical steps can the leaders take to

377
00:21:15.640 --> 00:21:16.920
start preparing now?

378
00:21:18.640 --> 00:21:20.000
I think one of the first things that you can

379
00:21:20.039 --> 00:21:22.759
do is you can start to make sure that you're

380
00:21:23.240 --> 00:21:27.079
documenting your standard operating procedures, that you understand the way

381
00:21:27.079 --> 00:21:30.119
that your processes work, whatever they are, no matter how

382
00:21:30.160 --> 00:21:32.559
small or no matter how small you are. This is

383
00:21:32.599 --> 00:21:35.559
a thing that will just give you immense value to

384
00:21:35.720 --> 00:21:38.359
put on paper and say this is how my processes work.

385
00:21:38.759 --> 00:21:40.839
But that also gives you the opportunity to start looking

386
00:21:40.880 --> 00:21:44.160
at places where you can automate or at AI to

387
00:21:44.279 --> 00:21:47.440
those processes in the long term. Another thing is to

388
00:21:47.839 --> 00:21:50.680
start to take a look at your data and wrinle it.

389
00:21:52.119 --> 00:21:54.200
I'll try not to get to overly technical here, but

390
00:21:54.279 --> 00:21:57.960
one of the things that's happened in the world where

391
00:21:58.000 --> 00:22:00.359
a lot of small businesses and medium businesses rely on

392
00:22:00.720 --> 00:22:04.400
on SaaS platforms is that they have an approach that's

393
00:22:04.440 --> 00:22:07.599
called best to breed, which means that you probably have

394
00:22:07.640 --> 00:22:10.000
a system that's your CRM, you have a system for

395
00:22:10.000 --> 00:22:12.359
your accounting, you have a system for you know this

396
00:22:12.440 --> 00:22:15.559
and this and that, as opposed to more old school

397
00:22:15.559 --> 00:22:17.920
traditional things, whereas a big old e er P or

398
00:22:18.000 --> 00:22:21.559
enterprise resource platform, they did a lot of everything. And

399
00:22:22.000 --> 00:22:24.880
some of the bigger issues that I'm starting to see

400
00:22:24.880 --> 00:22:27.599
with our aimplutations for small and mid sized businesses is

401
00:22:27.640 --> 00:22:29.880
that it's just hard to get these things to talk together.

402
00:22:30.480 --> 00:22:33.119
We have three, four or five different platforms, and just

403
00:22:33.640 --> 00:22:36.480
knowing that all your customer records are here, but all

404
00:22:36.519 --> 00:22:39.000
of your product of information is here, and you want

405
00:22:39.039 --> 00:22:42.359
the ability to personalize things, well, AI can do that,

406
00:22:42.480 --> 00:22:44.599
but first we have to deal with these first issues

407
00:22:44.599 --> 00:22:47.960
of understanding how we make these data pieces connect, so

408
00:22:48.240 --> 00:22:51.200
getting a wrangle on what your data looks like. The

409
00:22:51.279 --> 00:22:54.680
last thing I'll say is on that data wrangling side,

410
00:22:55.039 --> 00:22:59.880
is that one of the best things about artificial intelligence

411
00:23:00.400 --> 00:23:04.920
is that it understands nonstructured data. And just a quick

412
00:23:05.000 --> 00:23:07.640
lesson structured data is a thing like an Excel spreadsheet

413
00:23:07.720 --> 00:23:10.119
or a database. It's like really structured and you can

414
00:23:10.160 --> 00:23:13.640
look at it and understand it. Unstructured data is that

415
00:23:13.960 --> 00:23:16.240
there's all those word documents that you have on your

416
00:23:16.319 --> 00:23:18.680
Google Drive or your one drive or whatever it is

417
00:23:18.720 --> 00:23:21.160
that don't necessarily might tab information, but you have to

418
00:23:21.200 --> 00:23:24.799
read it to understand it. AI is amazing and that

419
00:23:24.880 --> 00:23:27.480
it can take that unstructured stuff like an image or

420
00:23:27.519 --> 00:23:30.279
a document and it can understand what it is, and

421
00:23:30.359 --> 00:23:33.640
that unlocks so much potential because if you haven't done

422
00:23:33.640 --> 00:23:35.920
a lot with CHATGPT, one of the best things you

423
00:23:35.960 --> 00:23:38.920
can do is drop a word documented or a PowerPoint

424
00:23:38.960 --> 00:23:42.039
presentation or a pdfile and ask a question to summarize.

425
00:23:42.200 --> 00:23:45.720
That's unstructured data that it can analyze understand. Yes, but

426
00:23:46.759 --> 00:23:51.039
if you are an organization that has nineteen thousand versions

427
00:23:51.039 --> 00:23:53.440
of the exact same document, all of them that are

428
00:23:53.480 --> 00:23:56.160
slightly different, how do you start to take these pieces

429
00:23:56.160 --> 00:23:57.240
of data and use the train?

430
00:23:57.599 --> 00:23:59.519
What if you give it something that's not right? Well,

431
00:23:59.519 --> 00:24:00.440
that's true issue.

432
00:24:00.519 --> 00:24:03.160
Right now, this thing has information that's kind of weighsing

433
00:24:03.240 --> 00:24:05.720
this knowledge and they can't use it. So so the

434
00:24:05.960 --> 00:24:07.880
two places I say that you start off with or

435
00:24:08.319 --> 00:24:12.799
or understand where your data is start to put together

436
00:24:13.599 --> 00:24:15.880
policies to make sure you're keeping your data as clean

437
00:24:15.920 --> 00:24:19.680
as you possibly can, and make sure you understand your processes.

438
00:24:19.960 --> 00:24:22.240
And if you can do those three things. As this

439
00:24:22.319 --> 00:24:25.079
technology starts to evolve, it becomes a lot easier to

440
00:24:25.160 --> 00:24:28.240
wrap these technologies around the things that are possible use

441
00:24:28.279 --> 00:24:29.319
a AIM.

442
00:24:30.279 --> 00:24:33.880
So would that those three things would that be considered

443
00:24:33.920 --> 00:24:37.839
some of the biggest mistakes that organizations make when adapting AI,

444
00:24:38.480 --> 00:24:41.119
or is it other things that they you know.

445
00:24:42.240 --> 00:24:46.599
One of the biggest things is that that AI needs

446
00:24:46.640 --> 00:24:48.319
AI loves is data.

447
00:24:48.079 --> 00:24:49.519
Information and context.

448
00:24:50.960 --> 00:24:54.920
If you think of a you know, taking a college

449
00:24:55.000 --> 00:24:57.599
kid and running them through the Deloitte Way or the

450
00:24:57.720 --> 00:25:02.480
Essential Way, or any of these large organization's education programs,

451
00:25:02.759 --> 00:25:05.160
is to make sure they understand how you do things.

452
00:25:05.319 --> 00:25:08.400
This is the exact thing that we are all wanting

453
00:25:08.400 --> 00:25:10.480
to do with our AI models. We want to take

454
00:25:10.480 --> 00:25:12.880
these AI models and we want to take something that

455
00:25:12.960 --> 00:25:15.599
has lots of general information and knowledge. It knows how

456
00:25:15.640 --> 00:25:18.319
the world works, it knows about business, but it doesn't

457
00:25:18.319 --> 00:25:20.720
know about your business. It doesn't know what makes you unique.

458
00:25:20.759 --> 00:25:24.559
It doesn't know about your individual writing abilities, or your things.

459
00:25:24.559 --> 00:25:27.480
And this is personal or this is on the business side,

460
00:25:27.599 --> 00:25:30.680
And so When you can provide that context to an

461
00:25:30.839 --> 00:25:35.000
instance of CHATCHBT or claud or whatever model, then you

462
00:25:35.000 --> 00:25:38.720
can start to unlock abilities. That makes it amazing. There's

463
00:25:38.759 --> 00:25:41.640
a new feature, a relatively new feature that I'm a

464
00:25:41.640 --> 00:25:44.640
big fan of, called connectors that you can do now

465
00:25:44.720 --> 00:25:48.400
with chatchbt as well as Claude, and this allows you

466
00:25:48.480 --> 00:25:51.839
to connect it to external data sources like your Google

467
00:25:51.920 --> 00:25:55.960
Drive or a HubSpot and instead of saying, hey, how

468
00:25:55.960 --> 00:25:58.920
do I deal with X issues with the customer, you

469
00:25:58.960 --> 00:26:01.000
can ask it a question that allows it to go

470
00:26:01.359 --> 00:26:04.960
and pull all of the customer activity information from HubSpot

471
00:26:05.160 --> 00:26:07.480
and you can start to have a conversation like can

472
00:26:07.559 --> 00:26:11.319
you imagine being able to sit which attribute you talking

473
00:26:11.559 --> 00:26:13.920
or writing it in the chatbot and start to have

474
00:26:14.000 --> 00:26:17.480
conversations with your data sets that if all those BI

475
00:26:17.680 --> 00:26:21.319
reports that you know, business intelligence reports and documents that

476
00:26:21.359 --> 00:26:23.640
you've gotten all these years and you're like, what does

477
00:26:23.680 --> 00:26:24.079
this mean?

478
00:26:24.160 --> 00:26:25.559
And you sit down with someone you're like, can you

479
00:26:25.599 --> 00:26:27.720
expl what this means? Now?

480
00:26:27.759 --> 00:26:30.319
We have this tool that can take that information in

481
00:26:30.559 --> 00:26:33.599
and you can have conversations with those data sets right now.

482
00:26:33.960 --> 00:26:36.480
And these are the places that become amazing and start

483
00:26:36.480 --> 00:26:39.039
to unlock potentials. This is that scale. If you're a

484
00:26:39.039 --> 00:26:41.720
business owner and you suddenly have the ability to have

485
00:26:42.039 --> 00:26:46.160
conversations with your finance data, that's that's an experience that

486
00:26:46.200 --> 00:26:49.160
once you do it that first time, you're like, Wow,

487
00:26:49.640 --> 00:26:51.759
where was this? Where was this before?

488
00:26:52.960 --> 00:26:53.400
Wow?

489
00:26:55.079 --> 00:26:59.119
It's a lot. It a lot, that's for sure. So

490
00:26:59.599 --> 00:27:02.799
and based on that, how do you decide which new

491
00:27:02.880 --> 00:27:06.119
technologies are worth paying attention to and which one are

492
00:27:06.279 --> 00:27:07.160
just noise?

493
00:27:08.319 --> 00:27:10.640
You know, I'm gonna just shamelessly, you know, do a

494
00:27:10.640 --> 00:27:12.960
plug here that this is. This is the reason that

495
00:27:13.160 --> 00:27:15.759
I write the regular newsletter. This is the reason uh

496
00:27:15.880 --> 00:27:17.839
that that I that I do my podcast and talk

497
00:27:17.880 --> 00:27:21.160
about thoughts on tech and things that I talk about this. Uh,

498
00:27:21.200 --> 00:27:23.960
it's it's the question that when I did that walk

499
00:27:24.000 --> 00:27:27.240
about and I started talking with businesses, you know, it's

500
00:27:27.319 --> 00:27:29.839
it's I'm a I'm an entrepreneur, I'm a business owner.

501
00:27:30.039 --> 00:27:32.680
It's more than a full time business to run a business,

502
00:27:32.759 --> 00:27:35.079
and it's very hard to stay up to date. And

503
00:27:35.160 --> 00:27:38.039
for my clients and and for the folks who read

504
00:27:38.039 --> 00:27:40.400
our newsletter, what I try to do is to to

505
00:27:40.480 --> 00:27:42.119
keep you up to date with the things that I

506
00:27:42.160 --> 00:27:44.400
think are important or interesting that you should you know,

507
00:27:44.480 --> 00:27:47.440
try Uh that's not to say that everything is uh

508
00:27:47.559 --> 00:27:49.759
that that you should jump on everything you know tomorrow.

509
00:27:49.960 --> 00:27:53.119
This tech is evolving very quickly, but it's it's it's

510
00:27:53.119 --> 00:27:55.359
important to keep up to date with the possibilities of

511
00:27:55.759 --> 00:27:57.920
what you can do and to understand some of the

512
00:27:58.000 --> 00:28:00.359
terminology when it comes out.

513
00:28:00.839 --> 00:28:04.279
Now and now, I'm going to just ask you like

514
00:28:04.400 --> 00:28:09.000
a personal question on my behalf because I'm doing the

515
00:28:09.200 --> 00:28:13.839
AI certification, so I'm trying to get so I can understand,

516
00:28:13.920 --> 00:28:16.920
like you say, this AI technology because it is not

517
00:28:17.079 --> 00:28:21.119
going away, and I know that in my business also,

518
00:28:22.079 --> 00:28:23.640
I have to use it, so I need to be

519
00:28:23.680 --> 00:28:24.759
able to understand it.

520
00:28:24.839 --> 00:28:25.000
Now.

521
00:28:25.039 --> 00:28:27.880
I know I don't have to be, you know, an

522
00:28:27.920 --> 00:28:30.559
expert like you, but I do want to be able

523
00:28:30.559 --> 00:28:35.720
to understand it. So what would you say going through

524
00:28:35.720 --> 00:28:40.000
something like that AI training like that a certification, what

525
00:28:40.279 --> 00:28:43.839
do you think is the And I'm not even sure

526
00:28:43.839 --> 00:28:46.279
how to ask this question? Maybe what is the best

527
00:28:46.319 --> 00:28:50.839
thing to focus on that would help someone like me

528
00:28:51.000 --> 00:28:56.680
who don't have ten years of experience with technology like

529
00:28:56.720 --> 00:29:00.359
that to be able to go through this aissation and

530
00:29:00.599 --> 00:29:03.559
kind of get enough to be able to understand it.

531
00:29:04.880 --> 00:29:07.079
And I know that open AI and some of these

532
00:29:07.119 --> 00:29:11.279
companies are developing, you know, workshops and certification programs. I

533
00:29:11.279 --> 00:29:13.039
also know that there are a ton of organizations that

534
00:29:13.039 --> 00:29:15.480
are offering them. I think that's always a great place

535
00:29:15.519 --> 00:29:18.680
to start. I also offer workshops, and I think just

536
00:29:18.680 --> 00:29:22.519
just committing to educating yourself is always a good thing.

537
00:29:23.039 --> 00:29:27.480
The other thing is to start using it and then

538
00:29:27.559 --> 00:29:29.279
and it doesn't You don't have to do it in

539
00:29:29.319 --> 00:29:31.559
a way that feels perfect like. And I think that's

540
00:29:31.599 --> 00:29:34.160
the thing that sometimes can feel like a blocker for

541
00:29:34.200 --> 00:29:37.279
so many of us, is that you find yourself sitting

542
00:29:37.359 --> 00:29:40.319
in front of this thing that's just a white screen

543
00:29:40.400 --> 00:29:42.680
with the textbox, and it's like, what am I supposed

544
00:29:42.720 --> 00:29:46.000
to do? And you kind of need like that that

545
00:29:46.119 --> 00:29:49.000
how do I start? And once you start, I think

546
00:29:49.000 --> 00:29:50.000
it unlocks things.

547
00:29:50.039 --> 00:29:50.200
Now.

548
00:29:50.240 --> 00:29:53.920
So I usually recommend I like to cook, and so

549
00:29:54.000 --> 00:29:59.400
I like to recommend using chatchbt Claude, whatever I'm out

550
00:29:59.400 --> 00:30:01.599
of that you're using to help you do meal planning.

551
00:30:02.119 --> 00:30:04.160
And one of the things that I love about this

552
00:30:04.240 --> 00:30:06.599
is you can just on your phone with chaccu, put

553
00:30:07.119 --> 00:30:09.440
go into your kitchen and just take pictures of the

554
00:30:09.480 --> 00:30:12.559
contents of your fridge and your pantry and send it

555
00:30:12.559 --> 00:30:14.519
to it and say like, what kind of ideas do

556
00:30:14.559 --> 00:30:16.480
you see that I can cook based on the things

557
00:30:16.480 --> 00:30:19.559
that are in here? And that unlocks that possibility of

558
00:30:19.599 --> 00:30:22.839
like images that are unstructured data. And you know what,

559
00:30:23.000 --> 00:30:24.960
last time it was like there's some fish way back there.

560
00:30:24.960 --> 00:30:26.640
I didn't even know that stuff was back there, and

561
00:30:26.640 --> 00:30:28.000
it saw it and it was like, hey, you.

562
00:30:27.960 --> 00:30:29.319
Know what you can do with this? And I was like,

563
00:30:29.319 --> 00:30:30.880
you know what, that that was helpful.

564
00:30:31.200 --> 00:30:34.319
But little things like that and doing things like that

565
00:30:34.319 --> 00:30:36.680
that can help you in your personal life or you know,

566
00:30:36.720 --> 00:30:39.640
in your business life start to like unlock things because

567
00:30:39.640 --> 00:30:42.160
then you start wondering, man, what if I take a

568
00:30:42.200 --> 00:30:44.680
picture of this of the of a you know, the

569
00:30:44.720 --> 00:30:46.759
bike I'm trying to fix, so this thing and I

570
00:30:46.799 --> 00:30:50.440
ask it questions and maybe I get answers, and it

571
00:30:50.480 --> 00:30:54.559
gives you that want to experiment and try and that

572
00:30:54.640 --> 00:30:57.960
opens up so many different doors and opportunities. That's the

573
00:30:57.960 --> 00:31:00.440
thing that I say to everyone's just start doing it.

574
00:31:00.519 --> 00:31:03.400
And and the great thing about having conversations with the

575
00:31:03.640 --> 00:31:06.079
with the robot, with the chatbot is that you know,

576
00:31:06.119 --> 00:31:08.359
no one's gonna no one's gonna point or laugh at

577
00:31:08.400 --> 00:31:10.279
you or say anything you can you can, you know,

578
00:31:10.440 --> 00:31:12.960
start small, just do little things, but start using it.

579
00:31:13.759 --> 00:31:15.519
And the more you use it, then the more you're

580
00:31:15.559 --> 00:31:18.480
gonna start wondering what if it could do this? And

581
00:31:18.559 --> 00:31:20.160
that's some of that it might not be able to do,

582
00:31:20.920 --> 00:31:24.839
you know yet. But I always remind people this is

583
00:31:24.880 --> 00:31:26.759
the worst version of AI you're ever going to use.

584
00:31:27.119 --> 00:31:28.799
And you know, there were a lot of things that

585
00:31:28.839 --> 00:31:30.640
can do two years ago that it can do now,

586
00:31:30.799 --> 00:31:33.039
and it's just getting better and better. Yeah.

587
00:31:33.200 --> 00:31:36.759
Absolutely, Like I said, it's just it's so much out

588
00:31:36.799 --> 00:31:41.240
there that you really have to at least familiarize yourself

589
00:31:41.279 --> 00:31:43.799
with it so that you can, you know, know what's

590
00:31:43.839 --> 00:31:45.519
coming at you at least you know.

591
00:31:48.160 --> 00:31:48.799
Yeah.

592
00:31:48.920 --> 00:31:51.880
So now you you mentioned earlier about you talked about

593
00:31:52.039 --> 00:31:56.720
vibe teams. What are they and how can they help organizations, uh,

594
00:31:56.799 --> 00:31:58.359
stay innovative and connected?

595
00:31:59.759 --> 00:32:03.039
So I like to start with this idea of vibe

596
00:32:03.079 --> 00:32:08.000
marketing or the vibe coding. So vibe marketing is a

597
00:32:08.200 --> 00:32:10.799
is a good place to start. If you're a small

598
00:32:10.839 --> 00:32:14.599
business owner. Let's say you wanted to do an ad campaign. Well,

599
00:32:14.680 --> 00:32:17.000
you possibly have a designer that you need to bring

600
00:32:17.039 --> 00:32:20.720
on to generate images. You may you know, wonder if

601
00:32:20.720 --> 00:32:23.839
you're doing a TV commercial, maybe you need voiceovers, you

602
00:32:23.920 --> 00:32:28.720
need music, you need video content, and bit by bit

603
00:32:28.960 --> 00:32:31.640
you're like, you're either looking at hiring an agency or

604
00:32:31.640 --> 00:32:33.960
you're hiring lots of freelancers and you're bringing all this

605
00:32:33.960 --> 00:32:37.000
stuff together, and you're packaging these things together, and the

606
00:32:37.039 --> 00:32:40.240
cost is, you know, it's sometimes pretty expensive for a

607
00:32:40.240 --> 00:32:44.960
small business. That's the part that changes. With Vibe marketing

608
00:32:45.240 --> 00:32:47.279
or Vibe coding, you can pretty much put Vibe in

609
00:32:47.279 --> 00:32:50.440
front of anything. You can start to do these things

610
00:32:50.799 --> 00:32:55.000
by combining yourself with AI tools, and you know, you

611
00:32:55.000 --> 00:32:56.759
can think of it as like Iron Man. You start

612
00:32:56.759 --> 00:32:59.359
putting these AI tools around you and that becomes your

613
00:32:59.359 --> 00:33:01.359
team that allows you to do things in a way

614
00:33:01.440 --> 00:33:05.079
that you could do before. So those examples I gave you,

615
00:33:05.279 --> 00:33:09.279
there's a product called eleven Labs. With eleven Labs, you

616
00:33:09.319 --> 00:33:13.680
can generate voiceovers that sound conversational, you can generate podcasts,

617
00:33:13.839 --> 00:33:17.519
you can generate audiobooks, and now only that, you can

618
00:33:17.960 --> 00:33:22.400
use voices that they've licensed. You know, Burt Reynolds, for example,

619
00:33:22.599 --> 00:33:24.119
is a voice that you could use and you can

620
00:33:24.160 --> 00:33:27.880
have Burt rendols, you know, doing the narration for for

621
00:33:27.960 --> 00:33:30.799
your for your next commercial, or for your podcast if

622
00:33:30.799 --> 00:33:33.720
you want, you know, for the intro. If you're talking

623
00:33:33.759 --> 00:33:38.839
about image generation, there's this this product from Google called Gemini,

624
00:33:38.920 --> 00:33:41.640
but the nano bananas the is the thing that everyone's

625
00:33:41.680 --> 00:33:45.599
talking about. It's one of many many different image generation twos,

626
00:33:45.640 --> 00:33:48.240
including the functionality that's built directly in a chat ept

627
00:33:48.680 --> 00:33:51.720
and you can generate images with great text and and

628
00:33:51.799 --> 00:33:54.200
all the things before people who complain about the fingers

629
00:33:54.240 --> 00:33:57.160
now it's it's it's hard to tell that these things

630
00:33:57.160 --> 00:34:02.319
are I generated. If you talk about video, there is

631
00:34:02.359 --> 00:34:05.960
a product called Google Flow, but there's also now Sora,

632
00:34:06.359 --> 00:34:09.719
which the Sora app is amazing from For my birthday,

633
00:34:09.760 --> 00:34:13.000
I generated a video of of me being one of

634
00:34:12.760 --> 00:34:16.119
the folks dressed as shirts versus blouses like you know

635
00:34:16.199 --> 00:34:19.840
the Prince Dave Schappewe skitt you know, playing basketball. And

636
00:34:19.920 --> 00:34:22.679
you can generate these things just with an idea and

637
00:34:23.000 --> 00:34:26.280
they look amazing, and you scan your face it generates

638
00:34:26.519 --> 00:34:29.840
video of yourself. And the tools to do these types

639
00:34:29.880 --> 00:34:32.239
of things are getting better and better. And then the

640
00:34:32.239 --> 00:34:34.119
the other that I always love to talk about. One

641
00:34:34.119 --> 00:34:36.480
of my favorite apps is is sun No son No

642
00:34:36.559 --> 00:34:38.880
dot ai or Suno dot com I think now these days.

643
00:34:38.880 --> 00:34:41.480
But it's a music generation too. And when I tell

644
00:34:41.519 --> 00:34:45.440
you it generates music, I mean, this is music that's

645
00:34:45.519 --> 00:34:47.920
so good. Sometimes it's hard to tell that this is that. Like,

646
00:34:47.960 --> 00:34:50.480
believe that this is AI generated and you can give

647
00:34:50.480 --> 00:34:51.039
it a prompt.

648
00:34:51.360 --> 00:34:54.079
I heard a songer, but I'm never I've not heard

649
00:34:54.119 --> 00:34:54.480
as soon.

650
00:34:54.760 --> 00:34:58.199
Oh you as s u n oh, Suno dot ai

651
00:34:58.320 --> 00:35:00.719
or Suno dot com. You go, you give it a

652
00:35:00.760 --> 00:35:03.480
prompt and you can tell it the style, and before

653
00:35:03.519 --> 00:35:05.920
you know it, you can have something that sounds like,

654
00:35:06.000 --> 00:35:08.679
you know, Michael Jackson singing a song about you know,

655
00:35:08.920 --> 00:35:12.519
successful women, and it's amazing and it's it's it's it's

656
00:35:12.559 --> 00:35:15.719
it's an incredible tool. But you take all these things

657
00:35:15.760 --> 00:35:19.239
together and you start to package this stuff and suddenly

658
00:35:19.320 --> 00:35:22.880
you have the ability to bring all these pieces together

659
00:35:23.239 --> 00:35:28.320
with short video vignettes and music and voiceovers and images,

660
00:35:28.519 --> 00:35:31.000
and you could start to create things without needing to

661
00:35:31.000 --> 00:35:35.280
buy stock art or needing a photographer. And so so

662
00:35:35.599 --> 00:35:37.519
I can understand why some people might feel a little

663
00:35:37.559 --> 00:35:40.039
weird and controversy about it, you know, in some ways,

664
00:35:40.039 --> 00:35:43.599
because it's taking out things that that you might have

665
00:35:43.760 --> 00:35:47.119
used freelancers or others to do. But for someone who

666
00:35:47.719 --> 00:35:50.840
is a small business owner who's possibly not had access

667
00:35:50.880 --> 00:35:54.920
to resources, suddenly you're empowered to generate things and create

668
00:35:54.960 --> 00:35:57.480
things and the way that you couldn't you couldn't do before.

669
00:35:58.960 --> 00:36:01.800
Absolutely so the.

670
00:36:01.639 --> 00:36:05.000
Idea of vibe teams is this idea of taking an

671
00:36:05.039 --> 00:36:08.519
individual and empowering them by giving them access to a

672
00:36:08.599 --> 00:36:12.440
series of AI tools that can accelerate and scale their abilities,

673
00:36:12.639 --> 00:36:14.800
by giving them tools that allows them to do things

674
00:36:15.039 --> 00:36:20.639
without with potentially having smaller human teams, but also bunches

675
00:36:20.679 --> 00:36:23.480
of age agentic resources that can help to provide them

676
00:36:23.639 --> 00:36:26.199
with the things they need to do to do different tasks.

677
00:36:27.960 --> 00:36:33.639
Wow, now this brings me to the females. How can

678
00:36:33.760 --> 00:36:38.840
women and underrepresented voices lead and shape the next wave

679
00:36:38.960 --> 00:36:40.559
of AI innovation.

680
00:36:42.679 --> 00:36:44.960
I think that it's important to lean in. I think

681
00:36:45.000 --> 00:36:47.719
that's the best thing to do that. I love to

682
00:36:47.760 --> 00:36:52.440
start with the statement about five companies the biggest valuation

683
00:36:52.519 --> 00:36:55.719
not existing fifty one years ago, because I also.

684
00:36:55.559 --> 00:36:58.360
Love to say and maybe how everyone will get this.

685
00:36:58.440 --> 00:37:00.760
You know it's for a certain age rate, but but

686
00:37:01.079 --> 00:37:03.199
I love to say that we are in the AOL

687
00:37:03.400 --> 00:37:06.199
days of AI. Just to put in perspective how early

688
00:37:06.280 --> 00:37:09.079
we are in this, in this in this wave, and

689
00:37:09.119 --> 00:37:12.079
which I think so important about that is AOL, for

690
00:37:12.159 --> 00:37:15.039
anyone who was around at the time, was a hugely

691
00:37:15.079 --> 00:37:19.280
important company to the way that the Internet developed its success.

692
00:37:19.519 --> 00:37:22.400
You know, many people know we got you got mail

693
00:37:22.480 --> 00:37:26.119
and these things that are embedded and and pop culture

694
00:37:26.119 --> 00:37:26.840
in our lives.

695
00:37:27.199 --> 00:37:28.679
That company doesn't exist today.

696
00:37:29.360 --> 00:37:31.760
That company's not here today, you know, and you look

697
00:37:31.800 --> 00:37:35.000
at someone like Google or Amazon, The words e commerce

698
00:37:35.400 --> 00:37:40.159
are relatively young. Those terms they're they're they're barely new.

699
00:37:40.440 --> 00:37:43.360
If you think about terms like social media, social media manager,

700
00:37:43.559 --> 00:37:46.880
those terms are relatively new, Those jobs are new. And

701
00:37:47.039 --> 00:37:50.480
we're at this cusp right now AOL days of AI

702
00:37:50.920 --> 00:37:54.280
where we haven't defined the words, we haven't created the vocabulary,

703
00:37:54.440 --> 00:37:56.480
we haven't created the businesses. We don't know if it's

704
00:37:56.480 --> 00:37:58.239
going to be open AI. Open AI might be the

705
00:37:58.280 --> 00:38:01.679
next AOL and maybe a hugely important company, but there

706
00:38:01.679 --> 00:38:05.159
may be something else, you know. The the I think

707
00:38:05.320 --> 00:38:09.320
Amazon and Google were both founded in like late nineties,

708
00:38:09.559 --> 00:38:11.480
one of them might be like early two thousand. Just

709
00:38:11.480 --> 00:38:14.000
to put in perspective of like how long it was

710
00:38:14.079 --> 00:38:16.599
in the wave from you know, where the Internet started

711
00:38:16.599 --> 00:38:18.960
to where these companies started. So so what I say

712
00:38:19.079 --> 00:38:22.360
to to everyone who's looking at this moment is that

713
00:38:22.519 --> 00:38:25.079
this is a this is a once in a lifetime

714
00:38:25.440 --> 00:38:29.000
opportunity to lean in on a technology in its infancy

715
00:38:29.280 --> 00:38:34.079
that's very early on, when there's so much possibility, there's

716
00:38:34.280 --> 00:38:37.119
terms that have created that you can that you can

717
00:38:37.239 --> 00:38:40.400
create the absolute fabric for what this thing is and

718
00:38:40.480 --> 00:38:44.480
the same way that Jeff Bezos did or Steve Jobs

719
00:38:44.480 --> 00:38:46.800
did when they created.

720
00:38:46.480 --> 00:38:48.159
Something that we didn't know.

721
00:38:48.559 --> 00:38:52.039
And if you take advantage of the opportunity, they're the

722
00:38:52.079 --> 00:38:55.000
next fifty years. They're companies that hopefully are companies that

723
00:38:55.039 --> 00:38:58.320
are founded by people like us, that we can build today,

724
00:38:58.559 --> 00:39:00.760
that can have an outsized and packed in the world

725
00:39:00.800 --> 00:39:02.880
that that will exist because of that.

726
00:39:04.800 --> 00:39:09.719
Wow. Now, you we mentioned earlier that you're the author

727
00:39:09.960 --> 00:39:14.039
of The AI Evolution. Tell us about that, and how

728
00:39:14.079 --> 00:39:17.679
can the viewers get a copy of your book.

729
00:39:18.840 --> 00:39:22.079
Well, it's on Amazon, it's on Barnes and Noble. You

730
00:39:22.119 --> 00:39:25.000
can also check out my personal website it's Jason M.

731
00:39:25.039 --> 00:39:30.400
Perry Jasonmperry dot com and you can get to my newsletter.

732
00:39:30.599 --> 00:39:33.000
The podcast as well as links to the book from there.

733
00:39:33.679 --> 00:39:36.360
And again, I think it's a I mean, of course

734
00:39:36.400 --> 00:39:37.639
I wrote it, so I have to say it's a

735
00:39:37.639 --> 00:39:40.719
great bread. My mom loves it too, so, but I

736
00:39:40.760 --> 00:39:44.519
think it's a great place to start wherever you are

737
00:39:44.519 --> 00:39:46.239
in your journey on AI, to to get at an

738
00:39:46.360 --> 00:39:48.119
idea of what's possible for your business.

739
00:39:49.360 --> 00:39:51.960
Okay, I'm gonna put your website in there so we

740
00:39:52.000 --> 00:39:56.039
can have that on the screen too. Wow. So anything

741
00:39:56.119 --> 00:40:00.199
coming up, any new books coming out? Are h want

742
00:40:00.239 --> 00:40:03.159
to maybe you know, let us in on.

743
00:40:04.519 --> 00:40:07.840
You know right now, I'm I'm very excited about the podcast.

744
00:40:07.920 --> 00:40:09.000
It's fairly new.

745
00:40:09.199 --> 00:40:09.360
Uh.

746
00:40:09.400 --> 00:40:12.360
The there's a lot of things that are happening in

747
00:40:12.360 --> 00:40:15.199
the AI space in terms of technology that that we're

748
00:40:15.400 --> 00:40:20.039
very excited about. Agentic AI is probably the thing that

749
00:40:20.199 --> 00:40:23.119
is the big buzz right now. How do you create

750
00:40:23.599 --> 00:40:28.639
workfloads of these AI bots that do things without necessarily

751
00:40:28.679 --> 00:40:30.920
needing a human in the loop, you know, so that

752
00:40:30.960 --> 00:40:33.559
they can complete tasks with you just saying it. And

753
00:40:33.599 --> 00:40:36.320
this is uh, this is becoming to the point where

754
00:40:36.320 --> 00:40:38.119
it can do that, but it's still very early on.

755
00:40:38.800 --> 00:40:41.599
So what we're what me and my team are enjoying.

756
00:40:41.679 --> 00:40:44.840
Is this helping unlock the potential and possibilities for lots

757
00:40:44.840 --> 00:40:49.000
of businesses to show them just how how much is possible?

758
00:40:50.760 --> 00:40:53.199
And it's exciting. It's it's amazing times right now.

759
00:40:53.559 --> 00:40:56.760
Yes, it is so. Tell us if the viewers out

760
00:40:56.760 --> 00:40:59.639
there wanted to get in touch with you, you did

761
00:40:59.719 --> 00:41:02.480
mention that you do AI training, maybe they want to

762
00:41:02.519 --> 00:41:06.199
get some you know, information on that. How can they

763
00:41:06.280 --> 00:41:07.199
reach out to you?

764
00:41:08.239 --> 00:41:11.599
My website is always the best place to start. Www

765
00:41:11.639 --> 00:41:15.000
dot Jasoniperry dot com. There's a contact form there. There's

766
00:41:15.079 --> 00:41:20.159
also Perry Labs dot io www dot Perry Labs dot io,

767
00:41:20.280 --> 00:41:22.559
which is our consulting business. You can find a link

768
00:41:22.599 --> 00:41:26.280
there from Jasonmperry dot com as well, and you'll find

769
00:41:26.320 --> 00:41:30.119
access to our workshops, contact forms to get in touch

770
00:41:30.159 --> 00:41:32.599
with me, and I'm always happy to talk with anyone.

771
00:41:32.639 --> 00:41:36.079
You can also find me on LinkedIn, Instagram, TikTok, and

772
00:41:36.199 --> 00:41:39.800
all of your favorite social media platforms. I'm usually Jason

773
00:41:39.800 --> 00:41:41.320
and Perry just like my website.

774
00:41:41.679 --> 00:41:45.079
Oh wow, good to have you. Thank you so much

775
00:41:45.159 --> 00:41:50.119
for coming and sharing those nuggets with us. It has

776
00:41:50.159 --> 00:41:52.679
been a pleasure. As I said, with AI out there,

777
00:41:52.719 --> 00:41:55.440
I know a lot of people are confused and trying

778
00:41:55.440 --> 00:41:58.400
to figure it out, so we do appreciate you coming

779
00:41:58.440 --> 00:42:01.920
in at least giving us a little bit of your

780
00:42:02.039 --> 00:42:04.639
knowledge so that we can try to figure this thing

781
00:42:04.679 --> 00:42:07.679
out and make sure that, like you said, implement it

782
00:42:07.719 --> 00:42:10.320
because it's not it's really not going away, so we

783
00:42:10.519 --> 00:42:13.239
definitely have to find out more about it. So thank

784
00:42:13.280 --> 00:42:17.039
you so much for joining me today. I really appreciate you.

785
00:42:17.719 --> 00:42:20.280
It was my pleasure, Doctor Medlin, I appreciate.

786
00:42:19.880 --> 00:42:24.199
It, alrighty, you take care, thank you. Wow. So Nick,

787
00:42:24.320 --> 00:42:26.480
I just want to tell everybody a little bit of

788
00:42:26.519 --> 00:42:30.679
what's going to be going on, just another edition of

789
00:42:30.840 --> 00:42:34.880
upcoming events around town with me. I'm honored to share

790
00:42:34.960 --> 00:42:37.599
that I was selected as one of the She Rises

791
00:42:38.280 --> 00:42:44.360
Studios three hundred and sixty five features for November. So

792
00:42:44.400 --> 00:42:47.440
you'll be able to see that the link I had

793
00:42:47.480 --> 00:42:50.559
placed the link on LinkedIn. If anyone follows me on

794
00:42:50.599 --> 00:42:54.599
LinkedIn Facebook, you'll be able to read what they published

795
00:42:54.599 --> 00:42:59.199
about me. And of course, the she Rises Studios is

796
00:42:59.360 --> 00:43:04.400
founded by Hannah Olivis and Adriana Luna and it is

797
00:43:06.039 --> 00:43:09.280
it's a platform that where you can share your stories

798
00:43:09.320 --> 00:43:12.840
where they elevate they brands and inspire others, and they

799
00:43:12.880 --> 00:43:16.599
have a strong presence in Los Angeles and Las Vegas,

800
00:43:16.679 --> 00:43:19.960
and their mission continues to uplift and unite women around

801
00:43:19.960 --> 00:43:23.760
the world. So I'm always glad to connect with organizations

802
00:43:23.760 --> 00:43:28.440
that do that. It was a privilege to be featured

803
00:43:28.840 --> 00:43:32.119
alongside a lot of those phenomenal women that they also

804
00:43:32.239 --> 00:43:37.039
spotlighted in that. And I am still excited about the

805
00:43:37.079 --> 00:43:40.800
Successful Women Radio Show making the list of the top

806
00:43:40.880 --> 00:43:47.000
one hundred best Career, Mindset and Working Women podcasts, and

807
00:43:47.119 --> 00:43:51.239
that we are proudly sitting at number sixteen on the list,

808
00:43:51.280 --> 00:43:54.719
which I think is not bad if I say so myself.

809
00:43:54.880 --> 00:44:00.199
This list highlights podcasts that empower women to build successful career,

810
00:44:00.719 --> 00:44:05.800
navigate workplace challenges, and find truth fulfillment in work and life.

811
00:44:06.159 --> 00:44:09.639
And so again I'm honored to be among those that

812
00:44:09.760 --> 00:44:12.920
placed on the list. Make sure to check out my

813
00:44:13.039 --> 00:44:16.960
book show Up to Rise Up Explore the Transformative Power

814
00:44:17.400 --> 00:44:22.119
of a Positive Mindset, which achieved bestseller status on Amazon

815
00:44:22.320 --> 00:44:26.760
in the Women and Business category, and it's available for

816
00:44:26.920 --> 00:44:29.360
purchase on Amazon. As I said, so, if you go

817
00:44:29.360 --> 00:44:31.679
to Amazon, put in my name in the search box,

818
00:44:32.000 --> 00:44:36.599
Doctor Madeleine and Lewis. The book will come right up. Also,

819
00:44:37.000 --> 00:44:41.280
do not forget to if you have not viewed my

820
00:44:41.400 --> 00:44:44.880
TEDx talk that I did in Vancouver, Canada. Yes it

821
00:44:44.960 --> 00:44:47.039
was in twenty twenty one, but make sure to do

822
00:44:47.159 --> 00:44:49.599
so because the topic is show up to Rise Up.

823
00:44:50.000 --> 00:44:52.760
You can watch it on YouTube again. Just put my

824
00:44:52.920 --> 00:44:56.280
name in the search box doctor Madeline and Lewis and

825
00:44:56.360 --> 00:44:58.679
it'll come up or you. If you want the direct link,

826
00:44:58.760 --> 00:45:04.639
you can email me at info at exwsi dot com

827
00:45:04.679 --> 00:45:08.599
and I'll send you the link. Check it out. Continue

828
00:45:09.239 --> 00:45:11.960
For those that have been supporting me and sharing it

829
00:45:12.000 --> 00:45:17.199
and support liking and commenting, please keep doing so. Right now,

830
00:45:17.239 --> 00:45:21.000
it's at two hundred twenty six seven hundred and fifty

831
00:45:21.000 --> 00:45:23.360
eight views. Of course, you know we're trying to reach

832
00:45:23.440 --> 00:45:26.679
that one million marks, so keep pushing it out there.

833
00:45:27.480 --> 00:45:32.239
I really do appreciate you. And finally, I'm also a

834
00:45:32.280 --> 00:45:38.760
contributing writer to own It magazine, where I share nuggets

835
00:45:38.760 --> 00:45:42.840
and resources every month. On It magazine is a resource

836
00:45:42.880 --> 00:45:48.079
for personal and professional development and also business development, so

837
00:45:48.239 --> 00:45:50.800
make sure if you want to get a free subscription,

838
00:45:51.199 --> 00:45:54.480
you can let me know and you can contact me

839
00:45:54.840 --> 00:45:59.440
again at info at EXWSI dot com and just put

840
00:45:59.480 --> 00:46:03.159
subscription for on It magazine in the subject line and

841
00:46:03.199 --> 00:46:05.960
I'll get back to you again. I would like to

842
00:46:05.960 --> 00:46:10.159
thank my guests, mister Jason Michael Perry, and my viewers

843
00:46:10.199 --> 00:46:14.039
and listeners for joining me today. This is the success

844
00:46:14.360 --> 00:46:17.760
for Women's show. I'm doctor Madeline and Lewis and if

845
00:46:17.800 --> 00:46:20.480
you'd like to reach out to me, you can email

846
00:46:20.559 --> 00:46:25.639
me at info at EXWSI dot com or go to

847
00:46:25.880 --> 00:46:31.519
my website which is www dot exwsi dot com. And

848
00:46:31.559 --> 00:46:34.679
while you're there, make sure to download my free three

849
00:46:34.800 --> 00:46:39.079
part video series on three things every woman should do

850
00:46:39.400 --> 00:46:46.400
to position herself for executive leadership. Also, make sure to

851
00:46:46.440 --> 00:46:49.039
sign up for my online course, which is Cracked the

852
00:46:49.119 --> 00:46:52.320
Career Code. To do that, you could go to www

853
00:46:52.440 --> 00:46:57.679
dot Crack the Careercode dot com. Don't forget to subscribe

854
00:46:57.719 --> 00:47:01.360
to our channel. Make sure you like this episode and

855
00:47:01.719 --> 00:47:05.320
also shared this episode with others. We had some great

856
00:47:05.440 --> 00:47:10.320
nuggets today from Jason Michael Perry, so if you're not

857
00:47:10.519 --> 00:47:13.920
familiar with AI you're still trying to learn AI h

858
00:47:14.079 --> 00:47:17.360
some of what he talked about will definitely help you. Again,

859
00:47:17.440 --> 00:47:20.840
this is a success for Women's Show. We're here every week.

860
00:47:21.039 --> 00:47:25.320
I am your host, doctor Madeline and Lewis helping women

861
00:47:25.559 --> 00:47:30.880
accelerate the path to success. Thank you again for joining us.

862
00:47:31.480 --> 00:47:35.960
I love you all to life and as always, be

863
00:47:36.079 --> 00:47:58.119
well and stay safe out there.

864
00:48:00.559 --> 00:48:08.800
I'm still look successful women

865
00:48:11.159 --> 00:48:11.199
M