Madeleine Lambert Podcast Transcript
Madeleine Lambert joins host Brian Thomas on The Digital Executive Podcast.
Welcome to Coruzant Technologies, home of The Digital Executive Podcast.
Brian Thomas: Welcome to The Digital Executive. Today’s guest is Madeleine Lambert. Madeleine Lambert is the Director of Marketing and Sales for Originality.AI, a global leader in AI content detection. Previously, she worked for medical technology startup MeshMD, and then co-founded the marketing company Content Refined with Originality CEO John Gilliam, which sold for millions in 2022.
She holds degrees from both Carleton University and the University of Toronto. She lives in Collingwood, Ontario with her husband and three children.
Brian Thomas: Well, good afternoon, Madeleine. Welcome to the show.
Madeleine Lambert: Thank you so much for having me.
Brian Thomas: You’re very welcome. And I appreciate you jumping on making the time.
Love traversing the globe today, we’re talking to Madeleine Lambert out of Ontario, Canada, which is always fun traversing the globe. So, Madeleine, we’re going to jump right into your questions. You have quite the career in business. You’re an entrepreneur, you’re an executive now, the director of marketing and sales at Originality.AI. Could you share with our audience the secret to your career growth and what inspires you?
Madeleine Lambert: Yeah, for sure. I’d say there’s no Single secret but what has helped me in my career is, I guess, seizing the opportunity. So, for example, I started my career in medical technology, and it was a startup.
It was a very, very small company when I started and. I got lots of opportunities to wear different hats, and I never said no to a challenge. So, I guess when you’re faced with opportunity my advice would be to just take it and learn what you can from it and then use it to as a, as a, like, steppingstone to get to the next level.
And some of those jobs and some of those hats might not. Seem super desirable, but from every single task that you have to do, whether it’s a grunt work task, whether it’s high-level stuff, whether it’s, you know, customer service, whether it’s quality assurance, you know, you wear those hats and you learn lessons from every single task and then you can apply those to the next 1.
and so. Yeah, I guess my, my secret sauce would be to take every opportunity that comes to you. And so, in that medical technology firm, I worked my way up from, like, low, low level customer service up to sort of project management level which allowed me to understand technology and the like, life cycle of a technology build.
And that allowed me to understand business and the life cycle of a business that’s growing. And all of those things allowed me to build my own business, which was my content marketing business, which was the next challenge. And then it kind of grew from there and, and all of those. Skills and all of those lessons learned throughout you know, starting ground up at a, at a medical technology startup to starting my own thing, building it, growing it, selling it just allowed me to have a wealth of experience in, in my career.
Brian Thomas: That’s awesome. Love that. And we hear that a lot from people that really just say yes to all opportunities and that opens a lot of doors. So, I appreciate you sharing that. And your background has certainly resonated with some of our audience, of course. So, thank you, Madeleine and Madeleine. Next question here.
Originality dot AI is globally known as the most accurate content detection. In fact, checking solutions on the market today. Can you share why this is so important when we have so many outlets spinning truths or plagiarizing original content?
Madeleine Lambert: Yeah, for sure. So, you know, having sat in the seat of a business manager at my own content marketing agency It was a child, like, the quality assurance of content that’s getting published online was challenging to begin with, but now throw in, like, and, you know, generative AI, and that causes.
Like, so many more problems, right? So, we’ve got. Content that is being plagiarized. We have content that is being fabricated by generative AI that we know creates very, very confident sounding bullshit, right? We know that LLMs create hallucinations. Have you heard the term AI hallucinations before?
Brian Thomas: Correct. Yes. Yes,
So, AI hallucinations for those who haven’t heard that term before is basically a very confident sounding fabrication of the truth. And so we know that most people that don’t sort of have the data available to them will create a narrative or create an answer even if it’s not.
Accurate and so originality dot AI comes into play as a tool set that allows editors and editorial teams and publishers to to analyze a piece of content before they publish it to see whether it’s original or whether it’s, it’s plagiarized or whether it is AI generated and whether the.
Statements within that content are factual or not. So, it’s a really important piece of software in this day and age when we have such a proliferation of content that is, you know, being published and we don’t really know the origin of them.
Brian Thomas: Thank you. I think that’s so important in today’s age that we do vet some of these stories, some of the content.
We see it from at the lowest levels, maybe on a blog post all the way up to our, you know, mainstream media today. We, we see things that just don’t seem the act. And I appreciate that. You all are spending that time and effort. In validating the content and stories that are produced. So, thank you. And then the next question for you today, Madeleine, is we want to ask how your platform balance the appropriate amount of AI created content versus human generated content.
Madeleine Lambert: Yeah, for sure. So, our platform, I would say our platform doesn’t balance those things. It will give you a, a score. And that score is a it basically will tell you the likelihood of that piece of content being AI generated or not. So, you’re going to get if you scan a piece of content, it’s going to say something along the lines of you know, 90 percent human and 10 percent AI generated and that doesn’t mean that 90 percent of it is you know, works.
Human written and 10 percent of it is generated. It means that our predictive tool predicts at a 90 percent certainty that that was a human written piece of content. And so we’re going to get a, a varying, like, depending on what kind of content you’re scanning, we’re going to get a variance of scores and it’s basically up to the publisher or editorial team to Understand their own threshold of what’s acceptable and what’s not.
Brian Thomas: Thank you. I appreciate you breaking that out for us. We see a lot of AI driven applications. A lot of applications that leverage obviously opening eyes API and the fact that your platform goes a little bit deeper than that. And makes really sense out of the madness that we see coming out of these generative AI platforms.
So, thank you and Madeleine last question of the day, we are a tech podcast and platform, and you’re obviously leveraging some of that in your business. There is there anything you might be able to share with us at a high level, or maybe another app if, if you feel more comfortable talking about.
Madeleine Lambert: Yeah, for sure. So, do you mean just in the sense that like, how do I use, use the technology?
Brian Thomas: Absolutely. How do you use technology in your everyday life?
Madeleine Lambert: Yeah, for sure. So, I think that there’s a misconception that because we detect generative AI, that we’re like anti AI, which we’re not at all. We just believe that you know, people who.
Own the content should be the ones to decide when and where I content is, is published. We believe in, like, the transparency in the sort of ethical, ethical, transparency and exchange of content. But that doesn’t mean that we. I think that all a I generated content is bad. So, the way that I would suggest using generative is you know, to help you come up with ideas to help you to help you come up with, like, a structure to help you in your workflow.
In areas that take a lot of your time, and then use that as a building block to make you better and smarter. So don’t use it to replace yourself, but use it to sort of, like, amplify your message and to dig deeper into areas that you hadn’t thought of before. And. So I think where people are going wrong with it is that they’re using it sort of like the lazy way and they’re not, they’re aiming to replace themselves and their voice and their brand with shortcuts.
But where I think that it’s most useful is if you use it to amplify your voice and to amplify your message and to amplify your, your brand voice. And so I think that’s where people should go with it. And I think that where I’m always really impressed is when I talk to clients who are maybe, like, an education or something, we don’t suggest that originality is used strictly in, like, an educational setting at all.
Because it does spin out some false positive sometimes. So, I think that educators should be very, you know, educated on how predictive tools work before they apply them in a classroom setting. But what I love is when I speak to teachers or educators who are using Originality.AI too, to help identify when is being used, but then but then building on that and making it better and being aware that is being used. But then taking it a step higher and making their students sort of, like, analyze what has been created and then you know, just make it better. And so, I really respect that a lot of educators are leaning into it rather than totally rejecting it and running away from it and being scared of it. And so I think that that’s how we should treat it moving forward.
Brian Thomas: Absolutely. I think we all need to embrace it a little bit.
Madeleine Lambert: it’s here to stay. Yeah.
Brian Thomas: Yeah. We certainly need to embrace it. And you know, we just have to be again, tread cautiously. There’s a lot of people in the world that have ulterior motives, but for the most part, we know that this can be a really a game changer for the world to make the world a better place in any industry.
So, Madeleine, I really appreciate your insights on that and Madeleine, it was such a pleasure having you on today. And I look forward to speaking with you real soon. Yeah.
Madeleine Lambert: Thank you so much for having me. It was a pleasure.
Brian Thomas: Bye for now.
Madeleine Lambert Podcast Transcript. Listen to the audio on the guest’s podcast page.
