How a Military Leader Built an AI-Driven Legacy
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What is the main topic discussed in this episode?
I don't think people should be afraid of AI, right? Think of it like you're an intern and they need instructions like everyone else. Companies and people need to understand that there is a formula to getting it to a place where it's valuable.
What I would say is, you know... Mark Hewitt is an experienced, people-focused and innovative technology leader and the founder of EQ Engineered. He has spent decades leading digital transformation and helping organizations embrace emerging technologies.
A values-based leadership, having integrity, being transparent in communications, being reliable is how we've built trust. And that's really the servant leadership philosophy behind EQ Engineered. EQ Engineered is a people business. We're a strategic digital consultancy. It's about the people. But that's true of, I think, personal relations and family relations as well. And so lead with empathy and stay true to your values as a company. I think that that's the secret recipe.
And it's... Today, Apple is going to reinvent the phone.
How does Mark Hewitt define EQ Engineered and its people-first mission?
It's not over until I win. The Living Your Legacy podcast. For those who live to leave a legacy.
That's extraordinary. The impossible. Oh, that is sensational. Open. Chicago was the lead. You said Paul is the fastest man on the planet. You can live your dreams.
Welcome back, everybody, to another episode of the Living Your Legacy podcast. Today, I am your host, Jason Tyler, and I am joined by Mr. Mark Hewitt of EQ Engineered. Mark, welcome to the show. Thank you. Nice to be here. So we just got finished filming with your episode of Operation CEO. First of all, how are you feeling now on the other side of it? It was a great experience. I feel like we got a lot. We got a lot of good information out there. What would you say is like the key takeaway that you would want for anybody watching your episode?
We want people to feel like there's authenticity to the conversation and what was shared.
Gotcha. Gotcha. So I want to take a second here to kind of talk about EQ Engineered. First of all, for the audience member who's out there who has no idea what EQ Engineered... I hear EQ and I'm like, emotional intelligence. But what is EQ Engineered? It was purposeful, by the way, that we called it EQ Engineered.
I figured that. Build with empathy and emotion for our customers. But... The more formal answer is we're a strategic digital consultancy, and we help companies modernize, develop resilience, and negotiate digital transformation.
Now, when you're talking about modernize with digital transformation, we're in the age of AI now, right? First, I want to just get your take on what's the direction that we're heading with this new digital landscape that we're a part of? Because I got to watch the dot-com bubble, and then I got to watch the social media craze, and now we're in this whole AI craze, and everybody's like, oh my God, we're destroying the planet. Where's all the water going? What is your ethos on where we're headed with AI?
Yeah, well... We talked a lot about this, I think, in the episode. And I don't think people should be afraid of AI. Think of it like your intern, and they need instructions like everyone else. And so your AIs are only as good as the instructions. They're also only as good as the governance and the guidelines and the way that you create policies as organizations. And so it shouldn't be a fear-based philosophy. What I would say is you should take the time to learn. I think it's only going to accelerate our ability to move quickly. And in today's world, that is kind of a norm. But we talked also about this. There really have been a couple bubbles already, in my opinion, in AI. One is sort of this big data.
Everybody's heard of machine learning. No one really understands what it is. Um, an awful lot of jargon soup and not a nourishing meal out there. People talking about linear aggression tactics, polynomial regression, and all the, you know, lasso regression. No one knows what their, what their words mean, but it's really just math that's been there for a long time.
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