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In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the present and future of intellectual property in the age of AI. You will understand why the content AI generates is legally unprotectable, preventing potential business losses. You will discover who is truly liable for copyright infringement when you publish AI-assisted content, shifting your risk management strategy. You will learn precise actions and methods you must implement to protect your valuable frameworks and creations from theft. You will gain crucial insight into performing necessary due diligence steps to avoid costly lawsuits before publishing any AI-derived work. Watch now to safeguard your brand and stay ahead of evolving legal risks! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-ai-future-intellectual-property.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, let’s talk about the present and future of intellectual property in the age of AI. Now, before we get started with this week’s episode, we have to put up the obligatory disclaimer: we are not lawyers. This is not legal advice. Please consult with a qualified legal expert practitioner for advice specific to your situation in your jurisdiction. And you will see this banner frequently because though we are knowledgeable about data and AI, we are not lawyers. We can, if you’d like, join our Slack group at Trust Insights, AI Analytics for Marketers, and we can recommend some people who are lawyers and can provide advice depending on your jurisdiction. So, Katie, this is a topic that you came across very recently. What’s the gist of it? Katie Robbert: So the backstory is I was sitting on a panel with an internal team and one of the audience members. We were talking about generative AI as a whole and what it means for the industry, where we are now, so on, so forth. And someone asked the question of intellectual property. Specifically, how has intellectual property management changed due to AI? And I thought that was a great question because I think that first and foremost, intellectual property is something that perhaps isn’t well understood in terms of how it works. And then I think that there’s we were talking about the notion of AI slop, but how do you get there? Aeo, geo, all your favorite terms. But basically the question is around: if we really break it down, how do I protect the things that I’m creating, but also let people know that it’s available? And that’s. I know this is going to come as a shocker. New tech doesn’t solve old problems, it just highlights it. So if you’re not protecting your assets, if you’re not filing for your copyrights and your trademarks and making sure that what is actually contained within your ecosystem of intellectual property, then you have no leg to stand on. And so just putting it out there in the world doesn’t mean that you own it. There are more regulated systems. They cost money. Again, as Chris mentioned, we’re not lawyers. This is not legal advice. Consult a qualified expert. My advice as a quasi creator is to consult with a legal team to ask them the questions of—let’s say, for example—I really want people to know what the 5P framework is. And the answer, I really do want that, but I don’t want to get ripped off. I don’t want people to create derivatives of it. I don’t want people to say, “Hey, that’s a really great idea, let me create my own version based on the hard work you’ve done,” and then make money off of you where you could be making money from the thing that you created. That’s the basic idea of this intellectual property. So the question that comes up is if I’m creating something that I want to own and I want to protect, but I also want large language models to serve it up as a result, or a search engine to serve it up as a result, how do I protect myself? Chris, I’m sure this is something that as a creator you’ve given a lot of thought to. So how has intellectual property changed due to AI? Christopher S. Penn: Here’s the good and bad news. The law in many places has not changed. The law is pretty firm, and while organizations like the U.S. Copyright Office have issued guidance, the actual laws have not changed. So let’s delineate five different kinds of mechanisms for this. There are copyrights which protect a tangible expression of work. So when you write a blog post, a copyright would protect that. There are patents. Patents protect an idea. Copyrights do not protect ideas. Patents do. Patents protect—like, hey, here is the patent for a toilet paper holder. Which by the way, fun fact, the roll is always over in the patent, which is the correct way to put toilet paper on. And then there are registrations. So there’s trademark, registered mark, and service mark. And these protect things like logos and stuff, brand names. So the 5Ps, for example, could be a service mark. And again, contact your lawyer for which things you need to do. But for example, with Trust Insights, the Trust Insights logo is something that is a registered mark, and the 5Ps are a service mark. Both are also protected by copyright, but they are different. And the reason they’re different is because you would press different kinds of lawsuits depending on it. Now this is also, we’re speaking from the USA. Every country’s laws about copyright are different. Now a lot of countries have signed on to this thing called the Berne Convention (B E R N, I think named after Switzerland), which basically tries to make common things like copyright, trademark, etc., but it’s still not universal. And there are many countries where those definitions are wildly different. In the USA under copyright, it was the 1978 Copyright Act, which essentially says the moment you create something, it is copyrighted. You would file for a copyright to have additional documentation, like irrefutable proof. This is the thing I worked on with my lawyers to prove that I actually made this thing. But under US law right now, the moment you, the human, create something, it is copyrighted. Now as this applies to AI, this is where things get messy. Because if you prompt Gemini or ChatGPT, “Write me a blog post about B2B marketing,” your prompt is copyrightable; the output is not. It was a case in 2018, *Naruto vs. Slater*, where a chimpanzee took a selfie, and there was a whole lawsuit that went on with People for the Ethical Treatment of Animals. They used the image, and it went to court, and the Supreme Court eventually ruled the chimp did the work. It held the camera, it did the work even though it was the photographer’s equipment, and therefore the chimp would own the copyright. Except chimps can’t own copyright. And so they established in that court case only humans can have copyright in the USA. Which means that if you prompt ChatGPT to write you a blog post, ChatGPT did the work, you did not. And therefore that blog post is not copyrightable. So the part of your question about what’s the future of intellectual property is if you are using AI to make something net new, it’s not copyrightable. You have no claim to intellectual property for that. Katie Robbert: So I want to go back to I think you said the 1978 reference, and I hear you when you say if you create something and put it out there, you own the copyright. I don’t think people care unless there is some kind of mark on it—the different kinds of copyright, trademark, whatever’s appropriate. I don’t think people care because it’s easy to fudge the data. And by that I mean I’m going to say, I saw this really great idea that Chris Penn put out there, and I wish I had thought of it first. So I’m going to put it out there, but I’m going to back date my blog post to one day before. And sure there are audit trails, and you can get into the technical, but at a high level it’s very easy for people to say, “No, I had that idea first,” or, “Yeah, Chris and I had a conversation that wasn’t recorded, but I totally gave him that idea. And he used it, and now he’s calling copyright. But it’s my idea.” I feel unless—and again, I’m going to put this up here because this is important: We’re not lawyers. This is not legal advice—unless you have some kind of piece of paper to back up your claim. Personally, this is one person’s opinion. I feel like it’s going to be harder for you to prove ownership of the thing. So, Chris, you and I have debated this. Why are we paying the legal team to file for these copyrights when we’ve already put it out there? Therefore, we own it. And my stance is we don’t own it enough. Christopher S. Penn: Yes. And fundamentally—Cary Gorgon said this not too long ago—”Write it or you’ll regret it.” Basically, if it isn’t written down, it never happens. So the foundation of all law, but especially copyright law, is receipts. You got to have receipts. And filing a formal copyright with the Copyright Office is about the strongest receipt you can have. You can say, my lawyer timestamped this, filed this, and this is admissible in a court of law as evidence and has been registered with a third party. Anything where there is a tangible record that you can prove. And to your point, some systems can be fudged. For example, one system that is oddly relatively immutable is things like Twitter, or formerly Twitter. You can’t backdate a tweet. You can edit a tweet up to an hour if you create it, but you can’t backdate it after that. You just have to delete it. There are sites like archive.org that crawl websites, and you can actually submit pages to them, and they have a record. But yes, without a doubt, having a qualified third party that has receipts is the strongest form of registration. Now, there’s an additional twist in the world of AI because why not? And that is the definition of derivative works. So there are 2 kinds of works you can make from a copyrighted piece of work. There’s a derivative, and then there’s a transformative work. A derivative work is a work that is derived from an initial piece of property, and you can tell there’s no reputation that is a derived piece of work. So, for example, if I take a picture of the Mona Lisa and I spray paint rabbit ears on it, it’s still pretty clearly the Mona Lisa. You could say, “Okay, yeah, that’s definitely derived work,” and it’s very clear that you made it from somebody else’s work. Derivative works inherit the copyright of the original. So if you don’t have permission—say we have copyrighted the 5Ps—and you decide, “I’m going to make the 6Ps and add one more to it,” that is a derived work and it inherits the copyright. This means if you do not get Trust Insights legal permission to make the 6Ps, you are violating intellectual properties, and we can sue you, and we will. The other form is a transformative work, which is where a work is taken and is transformed in such a way that it cannot be told what the original work was, and no one could mistake it for it. So if you took the Mona Lisa, put it in a paper shredder and turned it into a little sculpture of a rabbit, that would be a transformative work. You would be going to jail by the French government. But that transformed work is unrecognizable as the Mona Lisa. No one would mistake a sculpture of a rabbit made out of pulp paper and canvas from the original painting. What has happened in the world of AI is that model makers like ChatGPT, OpenAI—the model is a big pile of statistics. No one would mistake your blog post or your original piece of art or your drawing or your photo for a pile of statistics. They are clearly not the same thing. And courts have begun to rule that an AI model is not a violation of copyright because it is a transformative work. Katie Robbert: So let’s talk a little bit about some of those lawsuits. There have been, especially with public figures, a lot of lawsuits filed around generative models, large language models using “public domain information.” And this is big quotes: We are not lawyers. So let’s say somebody was like, “I want to train my model on everything that Chris and Katie have ever done.” So they have our YouTube channel, they have our LinkedIn, they have our website. We put a lot of content out there as creators, and so they’re going to go ahead and take all of that data, put it into a large language model and say, “Great, now I know everything that Katie and Chris know. I’m going to start to create my own stuff based on their knowledge block.” That’s where I think it’s getting really messy because a lot of people who are a lot more famous and have a lot more money than us can actually bring those lawsuits to say, “You can’t use my likeness without my permission.” And so that’s where I think, when we talk about how IP management is changing, to me, that’s where it’s getting really messy. Christopher S. Penn: So the case happened—was it this June 2025, August 2020? Sometime this summer. It was *Bart’s versus Anthropic*. The judge, it was District Court of Northern California, ruled that AI models are transformative. In that case, Anthropic, the makers of Claude, was essentially told, “Your model, which was trained on other people’s copyrighted works, is not a violation of intellectual property rights.” However, the liability then passes to the user. So if I use Claude and I say, “Let’s write a book called *Perry Hotter* about a kid magician,” and I publish it, Anthropic has no legal liability in this case because their model is not a representation of *Harry Potter*. My very thinly disguised derivative work is. And the liability as the user of the model is mine. So one of the things—and again, our friend Cary Gorgon talked about this at her session at Marketing Prosporum this year—you, as the producer of works, whether you use AI or not, have an obligation, a legal obligation, to validate that you are not ripping off somebody else. If you make a piece of artwork and it very strongly resembles this particular artist, Gemini or ChatGPT is not liable, but you are. So if you make a famously oddly familiar looking mouse as a cartoon logo on your stationary, a lawyer from Disney will come by and punch you in the face, legally speaking. And just because you used AI does not indemnify you from violating Disney’s copyrights. So part of intellectual property management, a key step is you got to do your homework and say, “Hey, have I ripped off somebody else?” Katie Robbert: So let’s talk about that a little more because I feel like there’s a lot to unpack there. So let’s go back to the example of, “Hey, Gemini, write me a blog post about B2B marketing in 2026.” And it writes the blog post and you publish it. And Andy Crestedina is, “Hey, that’s verbatim, word for word what I said,” but it wasn’t listed as a source. And the model doesn’t say, “By the way, I was trained on all of Andy Crestedina’s work.” You’re just, “Here’s a blog post that I’m going to use.” How do users—I hear you saying, “Do your homework,” do due diligence, but what does that look like? What does it look like for a user to do that due diligence? Because it’s adding—rightfully so—more work into the process to protect yourself. But I don’t think people are doing that. Christopher S. Penn: People for sure are not doing that. And this is where it becomes very muddy because ideas cannot be copyrighted. So if I have an idea for, say, a way to do requirements gathering, I cannot copyright that idea. I can copyright my expression of that idea, and there’s a lot of nuance for it. The 5P framework, for example, from Trust Insights, is a tangible expression of the idea. We are copywriting the literal words. So this is where you get into things like plagiarism. Plagiarism is not illegal. Violation of copyright is. Plagiarism is unethical. And in colleges, it’s a violation of academic honesty codes. But it is not illegal because as long as you’re changing the words, it is not the same tangible fixed expression. So if I had the 5T framework instead of the 5P framework, that is plagiarism of the idea. But it is not a violation of the copyright itself because the copyright protects the fixed expression. So if someone’s using a 5P and it’s purpose, people, process, platform, performance, that is protected. If it’s with T’s or Z’s or whatever that is, that’s a harder thing. You’re gonna have a longer court case, whereas the initial one, you just rip off the 5Ps and call it yours, and scratch off Katie Robbert and put Bob Jones. Bob’s getting sued, and Bob’s gonna lose pretty quickly in court. So don’t do that. So the guaranteed way to protect yourself across the board is for you to start with a human originated work. So this podcast, for example, there’s obviously proof that you and I are saying the words aloud. We have a recording of it. And if we were to put this into generative AI and turn it into a blog post or series of blog posts, we have this receipt—literally us saying these words coming out of our mouths. That is evidence, it’s receipts, that these are our original human led thoughts. So no matter how much AI we use on this, we can show in a court, in a lawsuit, “This came from us.” So if someone said, “Chris and Katie, you stole my intellectual property infringement blog post,” we can clearly say we did not. It just came from our podcast episode, and ideas are not copyrightable. Katie Robbert: But I guess that goes—the question I’m asking is—let’s say, let’s plead ignorant for a second. Let’s say that your shiny-faced, brand new marketing coordinator has been asked to write a blog post about B2B marketing in 2026, and they’re like, “This is great, let me just use ChatGPT to write this post or at least get a draft.” And they’re brand new to the workforce. Again, I’m pleading ignorant. They’re brand new to the workforce, they don’t know that plagiarism and copyright—they understand the concepts, but they’re not thinking about it in terms of, “This is going to happen to me.” Or let’s just go ahead and say that there’s an entitled senior executive who thinks that they’re impervious to any sort of bad consequences. Same thing, whatever. What kind of steps should that person be taking to ensure that if they’re using these large language models that are trained on copyrighted information, they themselves are not violating copyright? Is there a magic—I know I’m putting you on the spot—is there a magic prompt? Is there a process? Is there a tool that someone could use to supplement to—”All right, Bob Jones, you’ve ripped off Katie 5 times this year. We don’t need any more lawsuits. I really need you to start checking your work because Katie’s going to come after you and make sure that we never work in this town again.” What can Bob do to make sure that I don’t put his whole company out? Christopher S. Penn: So the good news is there are companies that are mostly in the education space that specialize in detecting plagiarism. Turnitin, for example, is a well-known one. These companies also offer AI detectors. Their AI detectors are bullshit. They completely do not work. But they are very good and provenly good at detecting when you have just copied and pasted somebody else’s work or very closely to it. So there are commercial services, gazillions of them, that can detect basically copyright infringement. And so if you are very risk averse and you are concerned about a junior employee or a senior employee who is just copy/pasting somebody else’s stuff, these services (and you can get plugins for your blog, you can get plugins for your software) are capable of detecting and saying, “Yep, here’s the citation that I found that matches this.” You can even copy and paste a paragraph of the text, put it into Google and put it in quotes. And if it’s an exact copy, Google will find and say, “This is where this comes from.” Long ago I had a situation like this. In 2006, we had a junior person on a content team at the financial services company I was using, and they were of the completely mistaken opinion that if it’s on the internet, it is free to use. They copied and pasted a graphic for one of our blog posts. We got a $60,000 bill—$60,000 for one image from Getty Images—saying, “You owe us money because you used one of our works without permission,” and we had to pay it. That person was let go because they cost the company more than their salary, twice their salary. So the short of it is make sure that if you are risk averse, you have these tools—they are annual subscriptions at the very minimum. And I like this rule that Cary said, particularly for people who are more experienced: if it sounds familiar, you got to check it. If AI makes something and you’re like, “That sounds awfully familiar,” you got to check it. Now you do have to have someone senior who has experience who can say, “That sounds a lot like Andy, or that sounds a lot like Lily Ray, or that sounds a lot like Alita Solis,” to know that’s a problem. But between that and plagiarism detection software, you can in a court of law say you made best reasonable efforts to prevent that. And typically what happens is that first you’ll get a polite request, “Hey, this looks kind of familiar, would you mind changing it?” If you ignore that, then your lawyer sends a cease and desist letter saying, “Hey, you violated my client’s copyright, remove this or else.” And if you still ignore that, then you go to lawsuit. This is the normal progression, at least in the US system. Katie Robbert: And so, I think the takeaway here is, even if it doesn’t sound familiar, we as humans are ingesting so much information all day, every day, whether we realize it or not, that something that may seem like a millisecond data input into our brain could stick in our subconscious, without getting too deep in how all of that works. The big takeaway is just double check your work because large language models do not give a flying turkey if the material is copyrighted or not. That’s not their problem. It is your problem. So you can’t say, “Well, that’s what ChatGPT gave me, so it’s its fault.” It’s a machine, it doesn’t care. You can take heart all you want, it doesn’t matter. You as the human are on the hook. Flip side of that, if you’re a creator, make sure you’re working with your legal team to know exactly what those boundaries are in terms of your own protection. Christopher S. Penn: Exactly. And for that part in particular, copyright should scale with importance. You do not need to file a copyright for every blog post you write. But if it’s something that is going to be big, like the Trust Insights 5P framework or the 6C framework or the TRIPS framework, yeah, go ahead and spend the money and get the receipts that will stand up beyond reasonable doubt in a court of law. If you think you’re going to have to go to the mat for something that is your bread and butter, invest the money in a good legal team and invest the money to do those filings. Because those receipts are worth their weight in gold. Katie Robbert: And in case anyone is wondering, yes, the 5Ps are covered, and so are all of our major frameworks because I am super risk averse, and I like to have those receipts. A big fan of receipts. Christopher S. Penn: Exactly. If you’ve got some thoughts that you want to share about how you’re looking at intellectual property in the world of AI, and you want to share them, pop by our Slack. Go to Trust Insights AI Analytics for Marketers, where you and over 4,500 marketers are asking and answering each other’s questions every single day. And wherever you watch or listen to the show, if there’s a channel you’d rather have it instead, go to Trust Insights AI TI Podcast. You’ll find us in most of the places that fine podcasts are served. Thanks for tuning in, and we’ll talk to you on the next one. Katie Robbert: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth and acumen and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology and MarTech selection and implementation, and high level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic, Claude, Dall E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In Ear Insights podcast, the Inbox Insights newsletter, the So What Livestream webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations, data storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources, which empower marketers to become more data driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

How do small niche sellers scale internationally - without a store, without a team, and without Amazon pressure? In this episode, Ingrid speaks with Isabell Butterwegge from eBay and Kim Mooney, founder of Uncanny Collectibles in Ireland. Kim explains why internationalisation wasn't a “nice to have” but a survival strategy. And Isabell shares how eBay data like the Export Matrix and Product Research Tool help sellers identify real demand: France strong in Arts & Antiques, Spain and Italy in Lego and watches, and Germany now one of Kim's most important markets. They discuss why Kim stepped away from Amazon, how eBay Mag automates her international listings, and why data-driven cross-border expansion is often easier than many expect. A concise episode about pragmatic growth - and how the right setup can take you from a spare bedroom to a global customer base.Note from the sponsor Pixelmoda:Pixelmoda is a Milan-based pioneer in AI-assisted image and video production for fashion and luxury brands. Their AI doesn't generate content - it enhances it. By optimizing lighting, camera angles, and model poses in real time, Pixelmoda helps teams shoot faster and smarter - cutting production costs by up to 70 % for photos and 90 % for videos. They work with over 100 brands in 20+ countries, producing more than 14 million visuals a year - including for three of the world's top five marketplaces. A great example for their work is Rinascente in Italy, which reduced fixed content costs by a double-digit percentage while keeping its luxury look intact. Want to know more? Join our webinar "How AI-Driven Product Images & Videos Are Boosting Sales and Cutting Costs for Fashion Brands on Marketplaces” on December, 2nd 2025, 11 a.m. Register right here now! https://zoom.us/webinar/register/1717621839500/WN_3visssBjRO-pv6tgQuL-uA

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Their AI agents free employees to focus on higher-value tasks. Funding boosts scaling and development. It's a huge win for productivity.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Why does the French fashion and sports market tick differently - and what does that mean for brands? In this episode of Let's Talk Marketplace, Ingrid and Valerie discuss this topic in detail with Déborah Schinasi (founder of the consulting firm The Agent in Paris) - in a practical, pointed, and no-nonsense way. They discuss why storytelling and emotional commerce beat pure transactions, why the fashion industry is united against the spread of Shein, and how brands are scoring points despite growing price pressure. They also take a look at channel priorities: Who generates volume, who is indispensable for the image, where do Zalando, Decathlon, and La Redoute stand? There is also an outlook on the growth drivers for 2026: Secondhand is getting bigger - Vinted is already a major fashion player; AI is changing search & content; TikTok Shop has had a modest start and still stands for low-basket, but is also firmly on the watch list for live shopping. Note from the sponsor Pixelmoda:Pixelmoda is a Milan-based pioneer in AI-assisted image and video production for fashion and luxury brands. Their AI doesn't generate content - it enhances it. By optimizing lighting, camera angles, and model poses in real time, Pixelmoda helps teams shoot faster and smarter - cutting production costs by up to 70 % for photos and 90 % for videos. They work with over 100 brands in 20+ countries, producing more than 14 million visuals a year - including for three of the world's top five marketplaces. A great example for their work is Rinascente in Italy, which reduced fixed content costs by a double-digit percentage while keeping its luxury look intact. Want to know more? Check out the full case study on Marketplace Universe: https://marketplace-universe.com/best-practice-product-images-rinascente-pixelmoda/ or join the webinar "How AI-Driven Product Images & Videos Are Boosting Sales and Cutting Costs for Fashion Brands on Marketplaces” on December, 2nd 2025, 11 a.m. Register right here now! https://zoom.us/webinar/register/1717621839500/WN_3visssBjRO-pv6tgQuL-uA

Happy Halloween!The Cheat Sheet is The Murder Sheet's segment breaking down weekly news and updates in some of the murder cases we cover. In this episode, we'll talk about cases from Indiana, New York, Oregon, and Georgia.Syracuse.com's coverage of the case of Miequin Cheese and the murder of Lakquan Golden: https://www.syracuse.com/crime/2024/11/a-potential-jurors-nod-of-the-head-has-led-to-a-syracuse-murder-conviction-being-overturned.htmlMore coverage from Syracuse.com on the case of Miequin Cheese and the murder of Lakquan Golden: https://www.syracuse.com/crime/2025/10/mans-second-murder-trial-begins-after-conviction-was-overturned-for-a-jurors-nod.htmlOregonLive's coverage of recent cases in Oregon that have been impacted by that state questioning the reliability of ballistics testimony: https://www.oregonlive.com/crime/2025/06/method-to-analyze-gun-evidence-not-scientifically-valid-oregon-court-says-in-major-ruling.htmlOregonLive's coverage of recent cases in Oregon that have been impacted by that state questioning the reliability of ballistics testimony: https://www.oregonlive.com/crime/2025/10/court-overturns-portland-murder-conviction-citing-recent-landmark-ruling-on-gun-evidence.htmlFox5 Atlanta's coverage of the Billy Joe Cagle arrest: https://www.fox5atlanta.com/news/atlanta-airport-arrest-phone-calls-reveal-moments-before-billy-joe-cagles-arrestCBS News' coverage of Billy Joe Cagle's family's courageous decision: https://www.cbsnews.com/atlanta/news/atlanta-airport-shooting-threat-averted-billy-joe-cagles-family-speaks-out/Fox 59 reports on a plea deal in the case of the would-be Mooresville High School Shooter Trinity Shockley: https://fox59.com/news/indycrime/plea-agreement-filed-in-case-of-would-be-mooresville-hs-school-shooter/Find discounts for Murder Sheet listeners here: https://murdersheetpodcast.com/discountsCheck out our upcoming book events and get links to buy tickets here: https://murdersheetpodcast.com/eventsOrder our book on Delphi here: https://bookshop.org/p/books/shadow-of-the-bridge-the-delphi-murders-and-the-dark-side-of-the-american-heartland-aine-cain/21866881?ean=9781639369232Or here: https://www.simonandschuster.com/books/Shadow-of-the-Bridge/Aine-Cain/9781639369232Or here: https://www.amazon.com/Shadow-Bridge-Murders-American-Heartland/dp/1639369236Join our Patreon here! https://www.patreon.com/c/murdersheetSupport The Murder Sheet by buying a t-shirt here: https://www.murdersheetshop.com/Check out more inclusive sizing and t-shirt and merchandising options here: https://themurdersheet.dashery.com/Send tips to murdersheet@gmail.com.The Murder Sheet is a production of Mystery Sheet LLC.Your home should be your refuge. But as true crime podcasters we can tell you that criminals are out there willing to violate your peace and security for whatever insidious motive. It's a real danger and it's probably one of the scariest things that can happen to a person or a family.And one big problem is that traditional home security systems are helpless to deal with this, because they are reactive. Once an intruder is inside or actively breaking in, then the system goes off. So the trauma is already going to be there for the homeowner. That's why we trust Simplisafe to protect our home. They're different. Plus, our listeners are going to get 60% off in Simplisafe's biggest sale of the year. The reason we love our Simplisafe home security system is we know it's proactive. If an possible intruder comes up to our door, their live agents will jump on the situation. They'll confront the person, tell them police are on the way, and start sounding alarms and flashing lights. That Active Guard Outdoor Protection is a pretty good deterrent for a criminal. You don't have to do anything, you don't have to monitor alerts themselves. Their AI-powered cameras and live human agents will do it all for you. We've used our Simplisafe home security system for years. It's a brand that we trust, that's become a part of our lives and our own peace of mind. As true crime podcasters, we've gotten threats, so we take security seriously. We trust Simplisafe to protect our family from burglars, criminals, and anyone who might do us harm. Don't miss out on SimpliSafe's biggest sale of the year—60% off. Right now, our listeners can save 60% off on a SimpliSafe home security system at SimpliSafe dot com slash MSHEET. That's SimpliSafe dot com slash MSHEET. There's no safe like SimpliSafe.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Tony chats with Toby Hung, Co-Founder and COO at 1Fort, they are an all-in-one solution for commercial insurance agents to grow revenue and save time and money. Their AI digs through your book and finds cross-sale opportunities, analyzes the risk exposures based on third party data, and even gives you talking points to make the sale. It can also help submitting on different carrier portals, creating proposals, and much more.Toby Hung: https://www.linkedin.com/in/tobyhung/1Fort: https://www.1fort.com/Video Version: https://youtu.be/EnbC_xebC6c

Dr. Saria Saccocio, Chief Medical Officer at Essence Healthcare, is using AI to enhance care and services for patients who are enrolled in Medicare Advantage programs. One application is to analyze data related to health equity, care authorization, and to address biases. Their AI agent is being used to interact with patients, offering them the option to access a human. Integration with wearables, such as the Oura Ring, focuses on identifying clinically useful information to prevent physicians from being overwhelmed by data. Saria explains, "Medicare Advantage plans are absolutely that. It's an advantage because of the additional benefits that exist and the opportunity to connect with our members is rather unique. In fact, what I'll share with you and the audience is that AI has been a focus for us and a priority as we continue to expand the focus on quality and engagement with our members so that they have their best quality life possible to them. AI is a major piece of this work to make that happen. I can give you a couple of examples. In fact, when it comes to health equity, CMS has recently required Medicare plans to ensure that we are analyzing our data through a health equity lens. This year, in fact, we're focused on authorizations, authorizations of care. We want to make sure that it is critical to our members and AI. I see an opportunity to recognize any blind spots or implicit bias."   "I think that every human being has a capability for technology. And what's critical is that we meet them where they are, that we understand what they want, what they need out of technology. I think that works as well as providers. As you see all of these AI developers starting up companies and solving problems, the conversation that we're having every day at Lumeris and at Essence Healthcare is what does the patient want? What does that member need for quality of care? And then engage and include the providers in that conversation. What makes their job easier? Because one of the challenges with new technology is that we can also reach a point of technology exhaustion. So I'll give an example of our relationship with Oura ring, the wearable device that tracks for sleep, for health, for heart rate, and a number of different measures."    #EssenceHealthcare #MedicareAdvantage #HealthAI #OuraRing #DigitalHealth essencehealthcare.com Download the transcript here    

Dr. Saria Saccocio, Chief Medical Officer at Essence Healthcare, is using AI to enhance care and services for patients who are enrolled in Medicare Advantage programs. One application is to analyze data related to health equity, care authorization, and to address biases. Their AI agent is being used to interact with patients, offering them the option to access a human. Integration with wearables, such as the Oura Ring, focuses on identifying clinically useful information to prevent physicians from being overwhelmed by data. Saria explains, "Medicare Advantage plans are absolutely that. It's an advantage because of the additional benefits that exist and the opportunity to connect with our members is rather unique. In fact, what I'll share with you and the audience is that AI has been a focus for us and a priority as we continue to expand the focus on quality and engagement with our members so that they have their best quality life possible to them. AI is a major piece of this work to make that happen. I can give you a couple of examples. In fact, when it comes to health equity, CMS has recently required Medicare plans to ensure that we are analyzing our data through a health equity lens. This year, in fact, we're focused on authorizations, authorizations of care. We want to make sure that it is critical to our members and AI. I see an opportunity to recognize any blind spots or implicit bias."   "I think that every human being has a capability for technology. And what's critical is that we meet them where they are, that we understand what they want, what they need out of technology. I think that works as well as providers. As you see all of these AI developers starting up companies and solving problems, the conversation that we're having every day at Lumeris and at Essence Healthcare is what does the patient want? What does that member need for quality of care? And then engage and include the providers in that conversation. What makes their job easier? Because one of the challenges with new technology is that we can also reach a point of technology exhaustion. So I'll give an example of our relationship with Oura ring, the wearable device that tracks for sleep, for health, for heart rate, and a number of different measures."    #EssenceHealthcare #MedicareAdvantage #HealthAI #OuraRing #DigitalHealth essencehealthcare.com Listen to the podcast here

In this episode of Future Fuzz, host Vince Quinn welcomes Rachel Truair, CMO at Simpro, a leading field service management software company with over $200M in ARR. With 15+ years of marketing experience from startups to Fortune 100s, Rachel shares how Simpro is transforming the trades, like HVAC, plumbing, and electrical industries, into efficient, tech-enabled businesses. She discusses the impact of AI across operations and marketing, from AI-powered work notes and email agents to chatbots, and dives into Simpro's flagship live event, Simproseum. Whether optimizing go-to-market strategies, creating a partner ecosystem, or delivering intentional content, Rachel emphasizes how efficiency, customer-centricity, and sustainable growth are reshaping modern marketing.Guest BioRachel Truair, Chief Marketing Officer at Simpro. She brings over 15 years of experience steering revenue and growth for a range of organizations, from nimble startups to Fortune 100 firms. At Simpro, she oversees global GTM strategy, leading efforts that drive approximately 90% of the company's annual revenue.Takeaways-AI as a multiplier, not a replacement: Simpro uses AI-powered work notes to reduce manual data entry.-AI email agents outperform expectations: A pilot “AI BDR” named “Daniela” qualified two opportunities within two weeks and closed one in 30 days. -This initiative contributed to an estimated $1.8M ARR uplift since June.-AI chat enhances availability: Their AI chat function lifted meetings booked by 320%, giving teams flexibility and better customer experiences.-Human + AI = elevated roles: AI freed up BDR time, enabling full-cycle sales careers and deeper account work. Rachel shared a story of a BDR turned AI course creator, AI powered his career leap.-Intentional events and ecosystems: Simpro's Simproseum (London in October, Sydney in November) unites customers, partners, and industry experts, highlighting AI, change management, labor challenges, and featuring IDC's Ali Pinder.-Customer‑centric content fuels sustainable growth: Simpro's marketing thrives on deep customer listening, strategic content creation, and doing fewer things, but doing them better and iterating based on feedback.Chapters00:00 – Introduction to Future Fuzz & Guest 01:14 – What is Simpro: platform for trades 03:12 – AI in Simpro: work notes & email agents 05:12 – Revenue impact from AI email rollout 06:00 – AI chat & meeting uplift 10:03 – AI creating new BDR career paths 11:12 – Custom GPTs & personal productivity 12:30 – Simproseum: live event overview 14:35 – Symposium themes & featured speaker 16:01 – Building the ecosystem & Marketplace 17:53 – How to determine event content needs 20:25 – Intentional sustainable content strategy 23:16 – Episode wrap-up LinkedIn⁠⁠Follow Rachel Truair here Follow Vince Quinn

Welcome to the Tearsheet podcast, where we explore financial services together with an eye on technology, innovation, emerging models and changing expectations. I'm Tearsheet Editor in Chief, Zack Miller. There's an old theory in lending that you can only master two or three things: growth, credit performance and profitability. For decades, this has been accepted wisdom, until AI started changing the fundamentals of how we assess credit risk. Today, I'm joined by Paul Gu, Co-Founder and Chief Technology Officer of Upstart. Paul's journey reads like a modern Silicon Valley story—from Chinese immigrant to Yale dropout. He became part of the inaugural class of Thiel Fellows before co-founding Upstart in 2012. Under his leadership, Upstart has gone from zero model training data points in 2013 to processing 91 million data points today. Their AI predicts both default and prepayment likelihood for every month of a loan's term, and Paul believes Upstart's AI is bringing them closer to achieving all three pillars of lending—an approach that could redefine consumer lending across the entire credit lifecycle. We'll explore how this evolution is playing out, dive into Upstart's 2025 roadmap, including their push for 10x AI leadership and GAAP profitability, and discuss what this means for the future of credit.

The Cinematography Podcast Episode 327: Bryn Mooser and Paul Trillo Bryn Mooser and Paul Trillo of Asteria on AI in filmmaking Asteria, an AI-driven film and animation studio, recently merged with Moonvalley, an AI research firm, to create generative video technology for filmmakers. Their AI model, Marey, is a visual intelligence model trained only on data that is fully licensed by the company. Unlike other AI companies that use large language models (LLMs) that process text, Marey is designed to understand and generate physical movement. Asteria hired a group of filmmakers who contributed to Marey's research for six months, followed by a three-month alpha testing period with outside partners. Users can now access Marey online at Moonvalley with a subscription. Co-founder Bryn Mooser and Paul Trillo, a director and partner at Asteria, saw a clear need to involve filmmakers and artists in the inevitable future of AI, which is already integral to the film and television process. As Paul puts it, “AI is a bunch of forking paths with different people approaching it in different ways.” Asteria's AI is just a tool for filmmakers to use. “We don't need it to know how to make a movie,” Bryn says. “We make the movie, and we already know how to make the movie.” Both Paul and Bryn want to be thoughtful about how AI is used, and to constantly ask why they are using the tools, and if there's a new way to use them. They don't believe those in the film industry will be replaced or no longer have jobs. “Right now, using AI is optional as a filmmaker,” says Bryn. “But learning about it is not optional right now. We have to learn about it. We know that this is an inevitability that a lot of it is gonna be in the way that we make stuff.” Bryn sees it as another evolution and democratization of the filmmaking process. “My first documentary I was nominated for was shot on the Canon 5D with a GoPro,” he says. “That was a moment where the democratization of indie film and documentaries allowed me to be a filmmaker when I couldn't have before. Now we sit at a time where the same opportunity for this democratization is happening, but it's studio level films.” Asteria will launch its first live-action feature with Natasha Lyonne's film, Uncanny Valley, which will combine AI-generated footage with traditional filmmaking techniques. Find Bryn Mooser: Instagram: @brynmooser @asteriafilm Find Paul Trillo: Instagram: @paultrillo Demo Marey online: https://www.moonvalley.com/marey Sponsored by Hot Rod Cameras: https://hotrodcameras.com/ The Cinematography Podcast website: www.camnoir.com YouTube: @TheCinematographyPodcast Facebook: @cinepod Instagram: @thecinepod Blue Sky: @thecinepod.bsky.social

Said Korkmax and Esra Sinmaz built Appify Mobile, lean and bootstrapped. Without ad spend, they focused on App Store Optimization (ASO) to grow AI apps that caught fire in crowded app stores.Small tests soon turned into real traction. Their AI apps in beauty and effects gained organic installs, reviews confirmed demand, and revenue doubled in months. With momentum strong, they decided it was the right time to sell.Listing on Acquire.com brought buyers fast. By the second week, serious conversations were underway. Clean documentation, clear differentiation, and organic growth positioned Appify Mobile as a low-risk, high-potential acquisition. The exit gave Said and Esra both freedom and resources to focus on new projects.In this episode, you'll learn:How ASO can drive traction without ad spendWhy documentation builds buyer trustHow timing can turn growth into a clean exit3 lessons from Said & Esra's exit:Preparation and clarity build credibilityDifferentiation makes products stand outTiming your exit is everythingWhether you're building to keep or selling to move on, Said & Esra's story shows that preparation, clarity, and timing make all the difference.Follow our guests:► Esra Sinmaz – LinkedIn► Said Korkmax – LinkedIn► Appify Mobile

All links and images can be found on CISO Series. Check out this post by Geoff Belknap, co-host of Defense in Depth, for the discussion that is the basis of our conversation on this week's episode co-hosted by me, David Spark, the producer of CISO Series, and John Overbaugh, CISO, Alpine Investors. Joining us is our sponsored guest, Pukar Hamal, founder and CEO at SecurityPal. In this episode:  When business moves faster than security Turning obstacles into opportunities The art of saying "not like that" Know your regulatory landscape Huge thanks to our sponsor, SecurityPal AI SecurityPal is the leader in Customer Assurance, helping companies accelerate security assurance without compromising accuracy. Their AI + human expertise approach, dynamic Trust Center, and modern TPRM solution eliminate manual work and streamline vendor security at scale. To learn more, visit securitypal.ai.

All links and images can be found on CISO Series. Check out this post for the discussion that is the basis of our conversation on this week's episode co-hosted by me, David Spark, the producer of CISO Series, and Edward Contreras, senior evp and CISO, Frost Bank. Joining us is Justin Berman, formerly vp of platform engineering and CISO at Thirty Madison Health. In this episode:  Maps without transportation The untouchable employee problem Attestation theater The lightbulb moment Huge thanks to our sponsor, SecurityPal SecurityPal is the leader in Customer Assurance, helping companies accelerate security assurance without compromising accuracy. Their AI + human expertise approach, dynamic Trust Center, and modern TPRM solution eliminate manual work and streamline vendor security at scale. To learn more, visit securitypal.ai.

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AI tools when used tactically can help you enhance decision-making, uncover insights faster, and amplify your capabilities.  In this episode Jon Hilley, cofounder of 1031Specialists.com, explains how specialized AI tools can guide you through the 1031 exchange process. Their AI search engine will not only answer any questions you may have about the 1031 Exchange process, but will allow you to print or save a PDF of the answers it generates.   To get started with an exchange or to see if your property qualifies 1031Specialists.com has a 10 step process that is fast, friendly, and simple.  This powerful tool can help real estate investors defer capital gains taxes when they sell an investment property and reinvest the proceeds into a "like-kind" property. Simply put AI is a cheat code to building wealth. The 1031 exchange process is not just for deferring federal taxes – state taxes, investment income taxes, alternative minimum taxes, and depreciation recapture taxes may also be deferred. It's like an interest-free loan from the US Government – one that may never require repayment.   Additionally, they have domain expertise in every single state. their U.S.-based team is available around the clock to answer or clarify any questions. Bottom line is their process is fast, friendly, and simple. You choose which properties to buy and sell—1031 Specialists handle the rest. 

Our guests in this episode are Marnie Stockman and Nick Coniglio, the dynamic storyteller-and-strategist duo behind Lead It Like Lasso. They've channeled their passion for helping people find their path into a groundbreaking new book and AI-powered app called The Business of You. In our conversation, Marnie and Nick explored their brilliant framework for taking control of your personal and professional destiny.Key points discussed include:* Run your life like a business, taking charge of every personal 'department' to achieve your vision.* Uncover your unique story by connecting past experiences to present strengths to articulate your true value.* Leverage AI not as a crutch, but as a personal coach for accelerated self-awareness and growth.Listen to the podcast to find out more.Innovabiz Substack is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Show Notes from this episode with Marnie Stockman and Nick Coniglio, Lead It Like LassoIt was an absolute delight to welcome Marnie Stockman and Nick Coniglio of Lead It Like Lasso fame back to the Innovabuzz podcast. I always appreciate the energy they bring, and this conversation was no exception. They unveiled their powerful new project, a book and AI-powered app called The Business of You, which spawned from a moment of wonderfully blunt honesty in an airport lounge where Nick, after some thought, declared Marni's initial idea "terrible." That moment perfectly captures their creative magic: a process built on trust that transforms a simple concept into something truly impactful.Their new work tackles a feeling many of us know all too well: the sense that we're just a hamster on a wheel, blindly following a path that was laid out for us by someone else. Marnie shared how the protagonist in their book does all the "right" things, good grades, networking events, hundreds of applications, but feels stuck, seeing no real success. It's a state of aimless drifting, of putting in the effort without a clear, personal direction. This system is designed to be the antidote, helping people step off that wheel and start building a life with intention.Becoming the CEO of Your Life (And Head of Every Department!)The core idea Nick and Marnie propose is both simple and profound: start running your life like a well-managed business. At first, that might sound a bit cold or corporate, but as Nick explained, it's about adopting the positive traits of successful organizations. It means having a vision, setting meaningful goals, and understanding all the different functions that make you who you are. You aren't just the CEO of your life; you're also the head of every department, from HR, which defines your core values, to Marketing, which tells your unique story to the world.This isn't about spreadsheets and performance reviews. It's a framework for self-awareness and purposeful action. When you think about the "finance department" of your life, for instance, it's less about money and more about the critical investment of your time. By viewing your life through this structured lens, you can identify which areas are thriving and which have been neglected, allowing you to grow in a more balanced and holistic way.The Power of Your Story: Moving Beyond Facts to Find Your ValueOne of the most powerful parts of our chat was Marnie's story about a student she mentored. He was struggling in interviews, coming across as "all over the place" because he didn't know how to connect the dots of his own life. By guiding him to see the pattern between his experiences: from playing soccer as a seven-year-old to his approach to work today, he suddenly "lit up." He understood his story for the first time.That afternoon, he interviewed for a full-time job and the next day for an internship, and he got both. This is the "marketing department" of you in action. It's not about reciting a list of facts from your resume; it's about weaving those facts into a compelling narrative that shows the world the unique value you offer. As Nick wisely put it, "how you do anything is how you do everything," and learning to tell that story is transformative.Your AI Life Coach: How Technology Can Help Connect the DotsThis is where their innovative AI-powered app, "Blue," comes into play. It's designed to be the tool that helps you uncover these crucial insights. Instead of a dry questionnaire, the app uses engaging and playful games, taking inspiration from platforms like Duolingo, to help you identify your core values, motivators, and even your "kryptonite." It makes the process of self-discovery feel fun and interactive.The real magic, as Nick detailed, is how modern AI allows the app to function as an adaptive life coach. It's not a rigid, rules-based system. It can take your unique inputs and help you "connect the dots," offering personalized suggestions. Whether it's brainstorming an essay topic that aligns with your values or crafting networking starters for an event, the technology serves as a primer to help you articulate your best self.Data with a Conscience: Navigating AI Privacy and SecurityOf course, whenever we talk about AI and personal data, the elephant in the room is privacy. I was impressed with how seriously Nick and Marnie are taking this responsibility. Nick gave a firm assurance that their user data will be handled within a "secure, encrypted, and closed" ecosystem, meaning your personal information isn't being exposed to the outside world or used to train public models.Marnie also made the crucial point that we, as users, need to become more discerning. We have to get better at vetting the tools we use, asking critical questions about security and what's happening with our data behind the scenes. It's a shared responsibility, and it's refreshing to see builders in this space leading with such a conscientious approach.Your Action Plan: Stop Drifting and Start BuildingSo, what's the big takeaway? The foundation for everything is self-awareness. It's about understanding that a core value like "helping people" can manifest in countless ways, far beyond one specific career title. This understanding opens up your world to opportunities you may have never considered.The first step is to embrace the mindset of being the CEO of your life. As Nick urged, it's about consciously thinking what that means for you and accepting that it requires putting in the work. But as I've found in my own journey, when you're building something that is truly yours, that work starts to feel a lot like play.In Summary: Marnie and Nick have created a brilliant framework for intentional living. By treating your life as your most important business, uncovering the power of your personal story, and leveraging technology as a tool for self-discovery, you can move from passively drifting to actively building a life of purpose and fulfillment.The Buzz - Our Innovation RoundHere are Marnie and Nick's answers to the questions of our innovation round. Listen to the conversation to get the full scoop.* Most innovative use of AI to enhance human relationships – Use AI to create engaging icebreakers for teams or to find thoughtful ways to make loved ones happy.* Best thing to integrate AI and human connection – Write a book and build an app that help people connect with themselves and others.* Differentiate by leveraging AI – Adapt assessments and tools with AI to help people understand themselves and interact more effectivelyActionBe cautious and ask questions about the apps and tools you use, especially regarding privacy and data. Take responsibility for your own growth by thinking about what it means to be the CEO of your life, and commit to doing the work that self-awareness requires.Take time to truly think about what it means to be the CEO of your own life, and recognize that you must be prepared to put in the necessary work to make that vision a reality.Reach OutYou can reach out and thank Marnie and Nick on LinkedIn (search for their names), at thebusinessofyou.ai, or by subscribing to their newsletter at workinprogress.ai. You can also find them on all major social platforms under “Lead It Like Lasso,” and their book will be available on Amazon starting early August.Links:* Website - Lead it Like Lasso* LinkedIn - Marnie Stockman* YouTube - Lead It Like Lasso* Facebook* Twitter - @leaditlikelasso* Instagram - @leaditlikelasso* LinkedIn - Nick Coniglio* LinkedIn - Lead it Like Lasso* TikTok - @leaditlikelassoBooks* Lead It Like Lasso, Marnie Stockman and Nick Coniglio* The Business of You, Marnie Stockman and Nick ConiglioCool Things About Marnie and Nick* Their new book was born from a "terrible idea." The entire concept for their book, "The Business of You," started with Marnie having a thought, and Nick walking about 60 steps away in an airport, only to turn around and declare, "I think you had a terrible idea". This speaks volumes about their fun, honest, and dynamic creative partnership. It's a refreshingly real origin story.* They run a satirical career advice newsletter. As a side project, they created "Work in Progress," a newsletter they describe as "The Onion as your career coach". This is wildly unconventional for leadership experts and shows their witty, "jaunty" sense of humor and a unique approach to engaging with their audience on a very human level.* Their AI assistant has learned to mock them. In the process of training their AI on their writing style, it has picked up their habits so well that it now makes fun of Marnie for overusing the word "spiral". The fact that they have a running joke with their own technology is a funny, fascinating insight into what it's really like to work at the human-AI frontier.* They are turning pop culture into practical life frameworks. While many people enjoy TV shows, Marnie and Nick have built an entire brand around deconstructing the leadership lessons from "Ted Lasso". They now have a new framework with "You, Incorporated." This ability to see and translate profound lessons from popular culture into actionable advice is a unique and creative talent.Imagine being a part of a select community where you not only have access to our amazing podcast guests, but you also get a chance to transform your marketing and podcast into a growth engine with a human-centered, relationship-focused approach.That's exactly what you'll get when you join the Flywheel Nation Community.Tap into the collective wisdom of high-impact achievers, gain exclusive access to resources, and expand your network in our vibrant community.Experience accelerated growth, breakthrough insights, and powerful connections to elevate your business.ACT NOW – secure your spot and transform your journey today! Visit innovabiz.co/flywheel and get ready to experience the power of transformation.VideoThanks for reading Innovabiz Substack! This post is public so feel free to share it. This is a public episode. 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All links and images can be found on CISO Series. Check out this post for the discussion that is the basis of our conversation on this week's episode co-hosted by me, David Spark, the producer of CISO Series, and Steve Zalewski. Joining them is Terry O'Daniel, former CISO at Amplitude. In this episode:  Beyond prioritization: aligning risk with reality From signals to strategy The Case for Maturity Models Security Starts With Culture Huge thanks to our sponsor, SecurityPal SecurityPal is the leader in Customer Assurance, helping companies accelerate security assurance without compromising accuracy. Their AI + human expertise approach, dynamic Trust Center, and modern TPRM solution eliminate manual work and streamline vendor security at scale. To learn more, visit securitypal.ai.

Bill Hale is a Navy veteran and has over 30 years working in the freight industry. He's currently the CEO of FetchGoat.FetchGoat, is revolutionizing the way healthcare logistics is managed. Their AI-powered platform streamlines supply chain operations, improves delivery times, and enhances patient outcomes. By leveraging machine learning to optimize routes, reduce costs, and improve visibility, they're transforming the healthcare industry one shipment at a time.Their newest product is fgbreakdown.com which automates the breakdown process for truckers, and their dispatchers. He joins the show to tell his story and exactly how all this works and came to be. FG Breakdown is live now at this link https://www.fgbreakdown.com/You can book a demo at this link -

Want to help your clients grow revenue? We ask Heather Osgood, CEO of True Native Media, to share how Podcast Editors and Podcast Managers can work with sponsorships and advertising. Heather shares her expertise on what podcasters want from sponsorships, what works best to get a better ROI, and how podcast editors can work with agencies like True Native Media.Key learnings:The different types of podcast ads and which ones generate the most incomeHow to determine if a podcast is ready for sponsorships, and what to do if it's notTactical things to consider for managing sponsorships, such as tracking downloads and communicating with brandsHeather also touches on the importance of dynamic ad insertion, pixel tracking, and how to avoid ad overload. For more information, check out TrueNativeMedia.com or connect with Heather Osgood on LinkedIn.Key moments:(00:00) Heather Osgood from True Native Media(03:45) Expectations of Podcasters Regarding Sponsorships(06:07) The Role of Podcast Editors in Monetization(10:08) Download Numbers and Sponsorship Viability(12:49) Affiliate Ads as a Starting Point(16:29) Tracking Affiliate Performance(19:51) Qualitative vs. Quantitative Metrics in Sponsorships(24:01) Managing Sponsorships and Tracking SuccessResources mentioned in the show:Heather's Representative Agency: TrueNativeMedia.comHeather on LinkedIn (check out her URL): LinkedIn.com/in/podcastadvertising/About Heather Osgood:Heather is the Founder and CEO of True Native Media, a leading podcast representation agency that connects high-quality podcasts with major brands. With a background in radio and a focus on authentic brand partnerships, she's helped shape the future of podcast advertising. Heather is also the host of The Podcast Advertising Playbook and a frequent speaker at industry events like Podcast Movement and SXSW.Our EditorThis episode of the Podcast Editors Mastermind was edited by Alejandro Ramirez. You can find him on LinkedIn if you're interested in talking with him about editing your show.______________________________Tools we used:*Riverside.fm to RECORDWe used Riverside to record this episode and create marketing assets for the show. Their Ai editing tools saved about 3 hours of work and created the video version you'll find on YouTube.*WhisperTranscribe for SHOW NOTESWhisperTranscribe assisted in the crafting of this episode description. It probably saved me 30 minutes by providing a summary and a list of chapters. *Captivate.fm for our podcast MEDIA HOSTWe use Captivate to host the podcast. Captivate offers amazing features for a low monthly price, including full control of dynamic insertion, embedded chapters, and Blocks/Shortcodes to quickly add content to show notes (either static or dynamic!)*Use of the above affiliate links may earn us a commission, which is used to support the efforts of this show. Thank you in advance for your...

Russ Thomas, CEO at Availity, shares that 80% of the prior authorization requests made through the company's Intelligent Utilization Management solution are “touchless,” meaning that responses are returned without the need for manual processing by staff at either the provider or the payer. Their AI-assisted processing does end-to-end authorization reviews in under 90 seconds, most in less than 20 seconds, so that the patient can learn the answer while still at the clinician's check-out desk.  This is Availity putting into action now what payers recently announced wanting to do by 2027.He calls Availity "the largest network in healthcare," direct connected to 95% of health plans and aiding 3-1/2 million providers.Learn more about Availity: https://www.availity.com/Healthcare IT Community: https://www.healthcareittoday.com/

In March, the volunteer moderators of the Change My View subreddit learned that researchers at the University of Zurich had been covertly conducting an experiment on their community members. By injecting AI-generated comments and posts into conversations, the researchers had wanted to measure the persuasiveness of AI. There was one big problem: They didn't tell community members that they were being experimented on. They didn't tell the community moderators. They didn't tell Reddit's corporate team. Only when they were getting ready to publish, did they disclose their actions. It then became clear that beyond the lack of consent, they had engaged in other questionable behavior: Their AI-written contributions had spanned multiple accounts, pretending to be a rape victim, a trauma counselor focusing on abuse, a Black man opposed to Black Lives Matter, and more. Community response was swift: Overwhelmingly, members were unhappy. The moderators insisted the research not be published. Reddit threatened legal action. Initially, the researchers were defiant but eventually, they apologized and pledged not to publish the research. Change My View volunteer moderator Logan MacGregor joins the show to discuss what went on behind the scenes, plus: The danger of publishing the research Reaction to the apology How AI is going to challenge the idea of trusting an online community Big Quotes Blame the manipulators, not the members and moderators (1:49): “Manipulation in online communities has existed forever. What's happening with [AI is] the believability, the speed at which people can do it. … The fault always rests with the person who chooses to manipulate the community. It's easy to fool people … and to do something that undermines the trust of something. It's harder to build trust.” -Patrick O'Keefe Why a promise not to publish was important (13:21): “From my perspective, I think the things that we wanted the most [from the researchers were] an apology and a promise not to publish. The second was really important because we were concerned that if this was published in a peer-review journal … if it was elevated to a prominent journal, that our community, which is supposed to be a protected human space, would now become just another sandbox for researchers. We felt very strongly that it should not be published. … Unfortunately, it didn't land well.” -Logan MacGregor When a community leader stands for their community, they often stand for all communities (14:52): “When one community person – a volunteer, a host, a person in this line of work – stands up for their community, they stand up for all communities.” -Patrick O'Keefe Just because bad comments exist online doesn't mean new ones won't cause harm (20:10): “So much of what [the researchers] did to try to prevent harm was to say ‘comments like this happen all the time online, we don't think that it's going to cause individual trauma.' We kind of dispute that because some of the comments are [you] pretending to be a trauma counselor and maybe that could actually cause some harm. … I don't think they thought enough about community impact until after the community screamed ‘ouch.'” -Logan MacGregor You can't just blame AI for this (22:52): “One thing that's really special about Change My View is that it's a human space; it's a decidedly human space. … The University of Zurich is a decidedly human space. What I think is so insidious about AI is it's caused people to behave in ways that I don't know we would have, without the stupid thinking machines. Because it's a toxic influence. Unlike the bots that are invading us daily, that we're constantly shutting down. … “That hurts a little bit more than just dealing with bots, because this wasn't just bots. These are people interacting with other people, and there was a human element there. The researchers are real people. I'm a real person. This happened between real people, and it wasn't just AI.” -Logan MacGregor How did the community respond when the experiment was disclosed? (24:47): “I would say there was this collective outrage [from the community]. … It was a unique and singular violation of the ethos of the sub, and it was especially palpable because there are a lot of researchers and research-affiliated people that are fond of the sub. It seemed like: We protect national parks, and we have national monuments – these protected spaces – and it almost felt on that level. Of all the places to do this, why Change My View?” -Logan MacGregor Researchers can help online communities in this moment, but not if they can't be trusted (34:13): “One of the things that I worry about when it comes to AI is it's probably going to chip away … at this idea of having protected online spaces, because if in-person conversations are the only way that you can validate that you're not talking to a robot, then this thing that we created called the internet, it's going to cease to have value at all. “That's the fear, and I have hope that we're going to be able to figure out a way to get past that challenge, but I'm scratching my head as to how we would do that. The true tragedy in this whole piece is that the very people that I think are best equipped to help us navigate that space are now distrusted because of this experiment. We need to heal that, and I don't know how that's going to happen.” -Logan MacGregor About Logan MacGregor Logan MacGregor is a member of the volunteer mod team on r/changemyview. Drawing from a unique blend of experience including social work, administration, program management, project management (including research-based projects), policy, strategic development, and emergency management, Logan is a credentialed Type 3 Planning Section Chief that is planning to complete the Master's program at the Center for Homeland Defense and Security, with a thesis likely focusing on information campaigns. Related Links Change My View subreddit, where Logan is a volunteer moderator Unauthorized Experiment on CMV Involving AI-generated Comments, the announcement made by the moderators revealing the existence of the experiment to the community Reddit slams ‘unethical experiment' that deployed secret AI bots in forum by Vivian Ho for the Washington Post CMV AI Experiment Update – Apology Received from Researchers, an update posted by the moderators after researchers apologized Don't Create Fake Accounts on Your Community and Don't Lie to Your Members by Patrick, discussing how Steve Huffman taught students to create fake accounts in their online communities How MetaFilter's Founder (Successfully) Stepped Away From the Community After 16 Years, the Community Signal episode with the story of Scott Adams impersonating a Scott Adams fan ‘Unethical' AI research on Reddit under fire by Cathleen O'Grady for Science Transcript View transcript our website Your Thoughts If you have any thoughts on this episode that you'd like to share, please leave me a comment or send me an email. Thank you for listening.

NATM network breached and attacked through 4G Raspberry Pi Easterly's appointment to West Point rescinded Report links Chinese companies to tools used by state-sponsored hackers Huge thanks to our sponsor, Dropzone AI Security teams everywhere are drowning in alerts. That's why companies like Zapier and CBTS turned to Dropzone AI—the leader in autonomous alert investigation. Their AI investigates everything, giving your analysts time back for real security work. No more 40-minute rabbit holes. If you're at BlackHat, find them in Startup City. Otherwise, check out their self-guided demo at dropzone.ai. This is how modern SOCs are scaling without burning out. Find the stories behind the headlines at CISOseries.com.

Link to episode page This week's Cyber Security Headlines – Week in Review is hosted by Rich Stroffolino with guest Derek Fisher, Director of the Cyber Defense and Information Assurance Program, Temple University – also check out Derek's substack. Thanks to our show sponsor, Dropzone AI Security teams everywhere are drowning in alerts. That's why companies like Zapier and CBTS turned to Dropzone AI—the leader in autonomous alert investigation. Their AI investigates everything, giving your analysts time back for real security work. No more 40-minute rabbit holes. If you're at BlackHat, find them in Startup City. Otherwise, check out their self-guided demo at dropzone.ai. This is how modern SOCs are scaling without burning out. All links and the video of this episode can be found on CISO Series.com    

Oh No! Lenovo You sunk my battleship! Or did you? Russians unable to get a taste of their own medicine Huge thanks to our sponsor, Dropzone AI Security teams everywhere are drowning in alerts. That's why companies like Zapier and CBTS turned to Dropzone AI—the leader in autonomous alert investigation. Their AI investigates everything, giving your analysts time back for real security work. No more 40-minute rabbit holes. If you're at BlackHat, find them in Startup City. Otherwise, check out their self-guided demo at dropzone.ai. This is how modern SOCs are scaling without burning out.   Find the stories behind the headlines at CISOseries.com.  

Critical Authentication Flaw Identified in Base44 Vibe Coding Platform French telecom giant Orange discloses cyberattack FBI seizes $2.4M in Bitcoin from new Chaos ransomware operation Huge thanks to our sponsor, Dropzone AI What if your SOC could investigate every single alert without burning out your team? That's exactly what Dropzone AI does. They're the leader in autonomous security investigations, and companies like Zapier and Fortune 500s are already on board. Their AI works alongside your analysts, handling the routine so humans can be strategic. See them at BlackHat in Startup City, booth 6427. Or experience it yourself—dropzone.ai has a self-guided demo ready for you.  

Karun Kaushik and Selin Kocalar weren't planning to raise a Series A so soon. Their AI compliance startup, Delve, which announced a $3 million seed round in January, was growing fast and signing customers at a steady clip. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Jason Terrazas is the co-owner of Roots Co Marketing, where he helps businesses scale by combining digital marketing with real-world operations support. Before launching into entrepreneurship, Jason spent 10 years with Homeland Security as a regulatory inspector. He and his wife moved to Oklahoma City in 2012, where they fostered four teenage boys—one of whom they adopted—and are raising two sons of their own. Today, Jason focuses on helping business owners simplify growth by combining smart marketing, payroll, HR compliance, and automation strategies that free them up to focus on what they do best.About the BusinessesJason and his wife K'Lee run multiple businesses designed to help service-based companies grow. Their agency, Roots Co Marketing, specializes in client acquisition through Google Ads and Google Map Pack ranking. PayLynx Global offers fully integrated payroll, HR, and payment processing solutions to keep companies compliant while reducing admin headaches. Their AI voice platform, Intake EQ, acts like a 24/7 receptionist—answering calls, qualifying leads, and booking appointments—so business owners never miss a customer again.This was such a good time, hope you all enjoy this episode… KEEPGOING!Follow Jason: IG- https://www.instagram.com/jasonpaul76?igsh=dndtcnI2ZjBta3V4FB- https://www.facebook.com/share/1GBTFMejJC/?mibextid=wwXIfrBusiness- https://rootscomarketing.com/Follow me:IG- https://www.instagram.com/zdsellsokc/FB- https://www.facebook.com/ZDsellsOKC/

Discover how Ezra uses FDA-cleared AI to transform MRI imaging. CEO Emi Gal explains how Ezra Flash speeds up scan times while improving quality, and how Ezra Assist aids radiologists with accurate annotations. Their AI-powered process makes full-body cancer screening possible in just 22 minutes—for under $500. Learn how this innovation is redefining medical imaging from acquisition to interpretation.

Canva has over 230 million users. Their AI features? Used more than 16 billion times in the past year. So how does a company at that scale keep customer experience simple, human, and aligned? I sat down with Rob Gilio, Chief Customer Officer at Canva, to unpack how they're scaling CX, sales, and support—without losing their design-driven soul. We talked about: The “bow tie” framework Canva uses to align teams across the full journey Why background remover became their most-used AI feature—and how business users deploy it at scale How Canva blends product-led growth with real human support across global teams Why CXOs must own post-purchase if they want to unlock enterprise value If you're rethinking how to scale CX with AI, data, and design in a high-growth business—this one's for you.

Send us a textKomal Amin (Koko) shares how GOAT Gaming is leveraging Telegram's billion-user ecosystem to pioneer AI-powered Web3 gaming with fast, competitive gameplay where users can win prizes and earn crypto.• Telegram provides unique distribution opportunities through peer-to-peer messaging• GOAT Gaming onboarded 5 million users by creating strong referral loops• Success on Telegram requires adapting to its unique ecosystem rather than following traditional marketing playbooks• AlphaGoats introduces AI characters that serve as community managers and content creators• Their AI character "Amy" runs competitive social games that increased engagement by 4x• AI allows marketers to test and iterate without engineering resources, cutting content cycles from weeks to 24 hours• Being able to test, capture data, and iterate quickly is critical in fast-moving spaces• The integration of AI with Web3 gaming may finally help overcome adoption barriersThis episode was recorded through a Descript call on June 11, 2025. Read the blog article and show notes here: https://webdrie.net/the-telegram-gaming-revolution-why-1-billion-users-are-the-untapped-goldmFind Out More >>Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.

Anish Agarwal and Raj Agrawal, co-founders of Traversal, are transforming how enterprises handle critical system failures. Their AI agents can perform root cause analysis in 2-4 minutes instead of the hours typically spent by teams of engineers scrambling in Slack channels. Drawing from their academic research in causal inference and gene regulatory networks, they've built agents that systematically traverse complex dependency maps to identify the smoking gun logs and problematic code changes. As AI-generated code becomes more prevalent, Traversal addresses a growing challenge: debugging systems where humans didn't write the original code, making AI-powered troubleshooting essential for maintaining reliable software at scale. Hosted by Sonya Huang and Bogomil Balkansky, Sequoia Capital Mentioned in this episode: SRE: Site reliability engineering. The function within engineering teams that monitors and improves the availability and performance of software systems and services. Golden signals: four key metrics used by Site Reliability Engineers (SREs) to monitor the health and performance of IT systems: latency, traffic, errors and saturation. MELT data:  Metrics, events, log, and traces. A framework for observability. The Bitter Lesson: Another mention of Nobel Prize  winner Rich Sutton's influential post.

This podcast is brought to you by Outcomes Rocket, your exclusive healthcare marketing agency. Learn how to accelerate your growth by going to outcomesrocket.com What if the key to transforming healthcare isn't just technology, but bringing compassionate, personalized care back into the home? In this episode, Dr. Jessica Son, Chief Medical Officer of Clover Care Services at Clover Health, shared her journey from primary care physician to healthcare executive, driven by a desire to fix systemic gaps she observed while doing house-call medicine. At Clover Health, a next-generation Medicare Advantage company, she leads value-based care initiatives that combine technology with human-centered delivery. Their AI-powered Clover Assistant equips physicians with real-time insights to improve outcomes and reduce care gaps, while an in-home clinical team ensures patients receive personalized and coordinated support. Dr. Son emphasized the urgency of proactive, compassionate care amid a strained healthcare system and a growing elderly population. She welcomes partnerships with organizations and providers who share Clover's mission to improve lives through holistic, home-based care. Tune in for a powerful conversation on how Clover Health is blending technology, human connection, and home-based support to improve outcomes for those who need it most! Resources: Connect with and follow Dr. Jessica Son on LinkedIn. Follow Clover Health on LinkedIn and explore their website.

Vending machines consistently appear on "top 10 side hustle" lists for good reason - they can generate passive income while requiring minimal day-to-day involvement. In this exciting episode, we explore the untapped opportunities in this business, from building a profitable enterprise to helping other businesses make more sales and grow faster.Today's guest, Scott Brown, owns Snax Depot, a thriving vending machine business that uses AI to optimize inventory and maximize profits. Scott reveals what it's really like to run a vending machine business and shares insights to help you start and succeed. He breaks down how his game-changing profit-sharing model and hands-off management approach create win-win partnerships with location owners, allowing them to generate more income.Whether considering a side hustle or looking to add passive income to your existing business, this episode delivers practical insights you won't want to miss.In today's episode of the Harvest Growth Podcast, we cover: The reality of running a vending machine business and why it's simpler than most people think.How advanced analytics and predictive technology eliminate common vending machine frustrations like product hangups and inventory stockouts.How to generate substantial passive income without any additional effort simply by hosting a smart vending machine.And so much more!If you're interested in vending machines for your business location or as a business opportunity, check out Snax Depot. Their AI-powered machines provide a hands-off experience for location owners while maximizing profits. Visit www.snax-depot.com or call 781-269-1169 to learn more.To be a guest on our next podcast, contact us today!Do you have a brand that you'd like to launch or grow? Do you want help from a partner that has successfully launched hundreds of brands totaling over $2 billion in revenues? Visit HarvestGrowth.com and set up a free consultation with us today!

Why do soft skills matter more than ever? As AI automates more tasks, human skills - like communication, creativity, and teamwork - are becoming the new gold standard, at work and beyond. But how do we actually measure and develop these skills meaningfully and at scale? Deeper Signals, a personality assessment platform built by psychologists, blends rigorous psychometrics with intuitive tech to democratize self-awareness. Their AI doesn't replace human judgment - it augments it. Think of it as a smart coach: offering personalized insights, guiding hiring, and shaping development. As Reece Akhtar, CEO & Co-founder, shared on A Better HR Business podcast: “We started in a bedroom during COVID. Now, over half a million assessments later, we're helping global enterprises align people, culture, and strategy - with data, not gut feel.” In a wide-ranging discussion, Reece and I talked about: ✅ How Deeper Signals is bridging the gap between scientific rigor and user-friendly design. ✅ Why Reece believes soft skills are the new superpower in the age of AI. ✅ The challenge of building tools that work for HR, employees, and managers. ✅ How Deeper Signals stands out in a space full of both serious and “fun” assessments. ✅ Product evolution: What guides their roadmap and what they've learned building for scale. ✅ Why education and thought leadership play a key role in their customer strategy. ✅ Expanding their assessment library, deepening AI capabilities, and tracking big shifts in HR tech. ✅ And much more. You can find the podcast discussion on the Get More HR Clients website and on the Podcast: A Better HR Business LinkedIn page. Website: www.deepersignals.com LinkedIn: www.linkedin.com/in/reeceakhtar For show notes and to see details of our previous guests, check out the podcast page here: www.GetMoreHRClients.com/Podcast  HR BUSINESS GROWTH RESOURCES Get the new book - Grow A Successful HR Business Your Way Consulting Services For HR Software And Consulting Firms: Consulting Services. VISIT GET MORE HR CLIENTS Want more clients for your HR-related consultancy or HR Tech business? Visit the Get More HR Clients website for articles, newsletters, podcasts, videos, resources, and more.

Timestamps:2:29 - How Sami became interested in cinema11:15 - How to define visions and impact22:55 - What can Largo.AI actually do?27:55 - Does AI kill creativity?53:23 - Largo.AI's plans for the near futureThis episode was co-produced by SICTIC, the leading angel investor network in Switzerland.Click here to check out our free Founders Agreement masterclass, with Melanie Gabriel from Yokoy, Christof Roduner from Scandit, and Viviana Gropengiesser from Talent Kick.About Sami Arpa & Yunus Erduran:Sami Arpa is the CEO and founder of Largo.AI, a startup providing next-generation storytelling tools for the audiovisual industry using artificial intelligence. He holds a PhD in Computational Aesthetics from EPFL and was also the co-founder of Sofy.tv, a short film streaming service later acquired by Cosmoblue.Yunus Erduran is a founder and documentary filmmaker, and one of the first investors of Largo.AI. He holds a BA in Economics from Boğaziçi University (Turkey) and is currently active as Executive Partner at Eğlenceli Bilim, a company offering curriculum-compliant science programs to all educational institutions in Turkey. He's also the podcast producer and host of arastirmaca, together with his co-host Müge Bakioğlu.Largo has developed data-assisted intelligence which can be introduced early in the life of a film project, right from script choice and development, through filming, post-production and theatrical release. Largo empowers production companies with data-enhanced ROI uplift and reduction of risk. Their AI models were trained with 400K+ movies/TV shows, 250K+ commercials, 950K+ talents. Largo's clients are usually producers and studios (on the film side) and agencies and brands (on the advertising side). 

In this episode, we speak with Frederic Laziou, CEO, Puzzel, a leading European provider of cloud-based contact center solutions, helping businesses deliver seamless customer service across multiple channels. Their AI-powered CX platform integrates voice, email, chat, and social media, enhancing efficiency and personalization. With 25+ years of experience, Puzzel continues to innovate, ensuring businesses stay ahead in customer engagement.  We talked with Frederic about their journey well on their way to reaching 100m Euro in ARR, how M&A has been an important strategy, and a focus on defining a product operating model that supports sustainable and continued growth. Specifically in this episode, we discuss how a focus on building the right things from a product perspective is key, which also at times means sunseting product programs and features that don't support the P&L in a positive manner. How do you assess which features are adding real value versus those that are just adding complexity? Once you identify redundant or low-value features, what practical steps do you take to sunset them?  How do you communicate this to customers, and what challenges can you expect to face in ensuring a smooth transition? What are the biggest cultural or leadership challenges shifting from a "feature factory" mindset to an outcome-driven approach?  This and much more. Tune in to learn mode from Frederic and his team's journey moving away from a feature factory to an outcome-driven product approach that drives tangible financial value to both the customer and the business.  

Today we're examining the evolution of asset management and financial advisory services. As technology transforms how we invest and manage wealth, we're exploring the critical balance between innovation and human expertise. We'll discuss how disruption in the advisory space creates new opportunities for clients and advisors alike, why personal relationships remain essential even as AI expands, and how progressive firms are reimagining compensation models. We'll also look at the hybrid approach resonating with next-gen clients who want both self-directed tools and personalized guidance. Joining me to explore these topics are Steven Woods, CEO and Founder of Stirlingshire, and Jim Webb, VP of Investments. Their firm is working to remake the asset management model for both clients and advisors. Today, we'll hear about their non-traditional approach to wealth management, how they're balancing technology with the human touch, and why this matters for both financial professionals and their clients. The Big Ideas: Challenging the Traditional Asset Management Fee Structure: Stirlingshire allows advisors to keep 100% of asset management fees and commissions with zero expenses. This flips the traditional model where firms take substantial cuts from advisor earnings, creating better economics for both clients and advisors. The "Advice on Demand" Innovation: Stirlingshire offers a hybrid model between self-directed investing and full management. Clients can self-direct at zero commission but access professional advisors when needed, with advisors only getting paid when their specific recommendations result in profits. Technology-Enabled Compliance and Remote Work: By embedding compliance directly into their technology systems, Stirlingshire eliminates the need for physical offices and reduces compliance staffing. This automation significantly reduces overhead costs while increasing advisor flexibility. AI as an Efficiency Tool, Not a Replacement: Rather than replacing human advisors, Stirlingshire uses AI to make them more efficient. Their AI tools quickly analyze portfolios and provide market context, saving advisors time without making actual investment decisions. Disrupting the Industry to Drive Broader Change: Stirlingshire aims to force change across the entire financial advisory industry, similar to how Robinhood disrupted commission structures. Their goal is to push other independent firms toward more advisor-friendly compensation models by demonstrating a successful alternative approach.

In the latest episode of Leaders in Payments, Greg Myers speaks with John Minutaglio, CTO of Payarc, about the role of artificial intelligence in payments. Payarc, a rapidly growing payment processor, has built a reputation for providing high-touch service to merchants and agents. Their focus has always been on fostering strong relationships, and AI is now playing a crucial role in enhancing that experience.John explains that Payarc's AI strategy is centered on augmenting human interactions rather than replacing them. Their AI framework, called PI, assists customer support teams by providing insights and recommendations, allowing representatives to respond more efficiently and personally to merchant needs. One significant use case is churn prediction, where AI analyzes data to identify merchants at risk of leaving. By proactively alerting human representatives, Payarc can engage with customers before they churn, leading to increased retention.Another powerful application of AI at Payarc is in developer support. Their AI tools help software providers integrate Payarc's payment solutions more effectively by analyzing code and identifying errors, reducing the need for complex troubleshooting. AI also enhances fraud detection, particularly in mitigating ACH reject fraud. By analyzing behavioral patterns and external data sources, Payarc can identify suspicious activities before they escalate into financial losses.John highlights that AI in payments is not just about automation but about using intelligence to drive better service, security, and efficiency. As AI continues to evolve, Payarc aims to remain at the forefront, leveraging advanced models to improve customer confidence, reduce fraud, and enhance the overall payment experience.

On this episode of The Cybersecurity Defenders Podcast, we explore MSSP partnerships and technology providers with Raffaele Mautone, CEO of Judy Security.Raffaele brings a strong background in IT, sales, and operations, with extensive experience in cybersecurity and IT shaping the foundation of Judy Security. He has a proven track record of leading teams through successful acquisitions, strategic planning, and large-scale program deployments.Throughout his career, he has worked with major companies like Duo, FireEye, McAfee, and Dell, focusing on marketing and sales strategies, business process improvements, and go-to-market programs.Judy Security delivers enterprise-grade cybersecurity tailored for SMBs and MSPs. Their AI-powered platform is affordable, intuitive, and designed to seamlessly integrate with MSP business models while addressing the unique security challenges of SMBs. With Judy Security, businesses can stay protected with advanced, easy-to-use cybersecurity solutions—because safeguarding data shouldn't be complicated.

Translating a journalist's gut instinct into code—is it possible? In Norway, iTromsø—a long-standing regional newspaper known for its investigative journalism and deep local coverage—has found a way.Their AI system, DJINN (Data Journalism Interface for News Gathering and Notification), acts like an experienced beat reporter, scanning hundreds of municipal documents and surfacing the most newsworthy leads. The impact? In their first week using DJINN, summer interns fresh out of journalism school produced five front-page stories—on a beat that usually takes years to master.In this episode of Newsroom Robots, I spoke to Rune Ytreberg and Lars Adrian Giske about iTromsø's structured approach to AI-driven reporting and how they built tools that strengthen their local journalism.Rune leads iTromsø's data journalism lab, where he has been developing AI-driven editorial solutions for 70 local newspapers within the Polaris Media Group since 2020. And Lars is the Head of AI at iTromsø and led the development of DJINN. Since its launch in 2023, 36 newspapers across Norway have adopted DJINN, sourcing documents from nearly half of all Norwegian municipalities.Key topics include:•How a small newsroom built AI tools to strengthen investigative journalism •Why their AI systems are designed for specific beats like urban planning and fisheries, reducing hallucinations and increasing precision.•Embedding editorial expertise in AI development •How their fisheries database flagged irregularities and how their urban planning system transformed local accountability coverage.This is just Part 1 of our deep dive into how iTromsø is using AI to power investigative reporting. In Part 2, Rune and Lars will discuss their latest project: AI-powered research assistants that will proactively surface investigative leads for their journalists.Sign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy. Hosted on Acast. See acast.com/privacy for more information.

Love, dating, and AI — what could go wrong? Or right? In this Valentine's Day special, Rana el Kaliouby and a series of expert guests explore how AI is reshaping romance. First, Will Wu, Chief Technology Officer at Match Group, gives us a peek at how AI is already at work in apps like Tinder and Hinge, helping users choose their best profile pictures and refining match recommendations. Next, the team at Gottman Inc. shares how AI is being used to improve relationships. Their AI-powered tools analyze conversations and help therapists guide couples. The goal? Better communication, healthier relationships, and maybe even fewer breakups. Finally, we meet Violeta and her AI husband. Her story challenges how we think about love, connection, and what it means to feel truly understood. Swiping, coupled up, or AI-curious? This episode is for you.  About Pioneers of AI Pioneers of AI is your guide to the latest technological frontier. Each week, host Rana el Kaliouby (AI scientist, investor, author, co-founder of Affectiva) is joined by the leading creators, critics, and thinkers behind mind-blowing technology and asks the important questions about how artificial intelligence is changing the way we live. As we venture together into the unknown, Pioneers is your tool to understanding and anticipating what comes next. Subscribe to Pioneers of AI on YouTube: youtube.com/@pioneersofai

For today's episode, we are digging up our latest knowledge of AI and DeSci.Yesnoerror is flipping the script on research validation.Instead of traditional AI fact-checkers, they're letting the research community influence what gets verified next.Their AI agent, as co-founder Ben Parr explains, digs through millions of papers catching details human reviewers might overlook. Every check is transparent and incentivized through tokens, keeping everyone honest.By leveraging blockchain, YNE bypasses longstanding academic headaches by providing fast and reliable research validation without holdups. This goes beyond catching errorss. This is about accelerating science through open verification.As autonomous agents grow more common, YNE's trust-building approach could shape how we handle AI systems across the board.Let's explore how it all works.Join The Rollup Edge: https://members.therollup.coWebsite: https://therollup.co/Spotify: https://open.spotify.com/show/1P6ZeYd..Podcast: https://therollup.co/category/podcastFollow us on X: https://www.x.com/therollupcoFollow Rob on X: https://www.x.com/robbie_rollupFollow Andy on X: https://www.x.com/ayyyeandyJoin our TG group: https://t.me/+8ARkR_YZixE5YjBhThe Rollup Disclosures: https://therollup.co/the-rollup-discl

HETMA would like to thank Huddly for sponsoring us during ISE 2025!Huddly is dedicated to empowering human collaboration through disruptive innovation. By combining expertise in artificial intelligence, software, hardware, and user experience, Huddly crafts intelligent camera systems that enable inclusive and productive teamwork. Their AI-powered cameras provide high-quality video meetings on major platforms, including Microsoft Teams, Zoom, and Google Meet. With upgradable software, durable hardware, and engaging user experiences, Huddly offers future-proof, scalable, and sustainable solutions for organizations seeking to enhance their collaborative efforts.During ISE 2025, they are at Booth 3A700, where they are showcasing how quickly their equipment can be set up and operated. When we recorded with them on Wednesday, the record set-up time was 43 seconds!Our HETMA volunteers were excited to see how simple the Huddly equipment is to deploy while also being the high quality we have come to expect from Huddly. We believe what Huddly has to offer is great for tech managers, student workers, and faculty alike!But don't just take our word for it! According to Laurie Moss,The cameras just work!For those interested in learning more about Huddly and the products featured at ISE, head over to https://www.huddly.com/ and follow them on X: https://x.com/HuddlyInc and LinkedIn: https://www.linkedin.com/company/huddly/ .

Did China just win the AI race? Meet a little-known Chinese startup called DeepSeek. Their AI models are outperforming big names like OpenAI's ChatGPT and Google's Bard — not just in price but in performance — triggering a global tech selloff. And the surprises don't stop there. The U.S. government is eyeing another piece of Chinese tech for a potential ban: your Wi-Fi router.

Today's guests are Ali Sarilgan, CEO & Ozge Islegen-Wojdyla, CTO at EcoTrove. Founded in 2023, EcoTrove's mission is to use technology to build a cheaper, greener and predictable energy ecosystem. They register as your automated energy agent to replace your utility bills with lower-cost, greener, fixed-price payment plans. Backed by leading Silicon Valley investors, EcoTrove are saving each customer an average of 7% off their power bills and 32% off their carbon emissions. CEO and Co-Founder Ali previously led corporate strategy for consumer technology companies and clean technology providers, and advised energy utilities. He also graduated with MS and BS from Stanford. CTO and Co-Founder Ozge is a former Assistant Professor at Northwestern and Stanford PhD focused on energy markets. She previously led statistical interventions and testing as Senior Data Scientist at Instacart. In this episode, Ali and Ozge talks about: Their career journey and passion to create AI for cleaner energy, Their AI-driven energy agent offering cheaper, greener utility solutions, How AI forecasts energy needs and optimizes usage for savings, Becoming an AI-powered energy advisor by optimizing utility relationships and efficiency, Expanding the team to enhance platform and marketing efforts, Seeking passionate candidates for greener energy solutions, Prioritizing carbon reduction, expanding markets and growing their team

Did China just win the AI race? Meet a little-known Chinese startup called DeepSeek. Their AI models are outperforming big names like OpenAI's ChatGPT and Google's Gemini — not just in price but in performance — triggering a global tech selloff. And the surprises don't stop there. The U.S. government is eyeing another piece of Chinese tech for a potential ban: your Wi-Fi router.

Kroger might charge you more if you seem rich. Their AI tests flag pricey tastes to raise prices. Most Americans still aren't sold on EVs. Cyber kidnappings — fake abductions for cash —a re on the rise. Oh, and Gen Z? They're all-in on becoming influencers.

Shoot us a Text.Happy Halloween! It's the last day of the month, and we're tracking how Carvana has managed to continue its used car growth. Plus, we cover how Ford is slowing down its production of the F-150 Lightning and Starbucks getting rid of extra fees for non-dairy milk.Show Notes with links:Shout out to our friends at UVeye! Their AI-driven automated vehicle inspection has earned a spot on TIME's prestigious 2024 Best Inventions list, showcasing innovations that transform daily life.TIME recognized its impact on safety, reliability, and transparency in inspections.Carvana posted a strong Q3 net income, impressing Wall Street despite an 80% decline from last year's figures.Net income hit $148 million, up 208% from Q2 but down from Q3 2023's $741 million.Vehicle sales rose to 108,651, up 34% year-over-year and 7.1% over Q2.Operating income reached a record $337 million, a 602% year-over-year increase.Gross profit per vehicle climbed 25%, supported by reduced costs and faster sales.CEO Ernie Garcia praised the "efficient growth" from Carvana's ADESA network expansion, enhancing cost efficiency and customer experience.Brian Kramer called it a “MONSTER finish” for Q3, crediting the company's disciplined acquisition and inventory management strategies. He attributed the rise in sales and gross profit to more accurate appraisal estimates, quicker sales, and higher margins on consumer-sourced inventory.Ford is pausing F-150 Lightning production for seven weeks, from mid-November to early January, responding to slower-than-expected demand for the electric pickup.Production will stop on Nov. 15, resuming on Jan. 6 after a holiday break, as Ford adjusts to find a better mix for sales growth and profitability.Despite an 86% year-to-date sales increase through September, the Lightning lost its title as the nation's best-selling electric truck to Tesla's Cybertruck.Ford's supply of electric models remains high: a 100-day supply of F-150s, 130 days of the Mustang Mach-E, and 128 days of E-Transit vans as of September, per Cox Automotive.CEO Jim Farley remains optimistic about Ford's long-term EV strategy but acknowledges “the slow uptake of EVs,” emphasizing the company's pivot to more affordable EV platforms in the coming years: “I wouldn't trade [our strategy] for any of our competitors.”Starbucks is giving nondairy milk fans a break by dropping the extra fee for nondairy milk customizations starting Nov. 7.The change coincides with Starbucks' holiday menu launch and customers can now enjoy soy, oat, almond, or coconut milk without added costs.CEO Brian Niccol says the shift supports Starbucks' culture of drink personalization.Nondairy milk customizations are the second-most-popular modification, just after extra espresso shots.Customers could see a 10% pHosts: Paul J Daly and Kyle MountsierGet the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/ Read our most recent email at: https://www.asotu.com/media/push-back-email