Podcasts about Otter

Special Guest Day on the LMBP, as we're joined by Blues associate coach Steve Ott! Lots of ground covered, including his path to becoming a coach, working with and learning from Ken Hitchcock, the 2019 Stanley Cup run, what he's excited about for this year's Blues team, and a BUNCH more! Otter was awesome, give a listen! Let's Go Blues!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Lindsay and Madison discuss the Dobhar-chú, as well as why you should stick to the rivers and the lakes that you're used to, that you should never provoke a giant otter hybrid, and that some saints have giant heads. Information pulled from the following sources 2024 Historic Mysteries article by Robbie Mitchell 2024 Irish Central article 2022 Darrah Steffan blog post 2021 Irish Central article by Rachel Rafferty 2020 Dr. Karl Shuker Nature blog post 2020 In the Dark Air blog post 2019 Dark Tales blog post 2019 Folklore Thursday post by Olivia O'Mahony 2018 Leitrim Live article 2017 Tony O'Neill blog post Cryptid Fandom Wiki (1) Leitrim Tourism Network Wikipedia Send us your listener questions to bit.ly/AskYOC. Become a member on Buy Me A Coffee for as little as $1/month to support the show.  Get your groceries and essentials delivered in as fast as 1 hour via Instacart. Free delivery on your first 3 orders. Min $10 per order. Terms apply. You can write to us at: Ye Olde Crime Podcast, PO Box 341, Wyoming, MN 55092. Leave us a rating and review on Apple Podcasts, Podchaser, Spotify, Podcast Addict, Audible, or Goodpods! Don't forget to follow us on Twitter, Instagram, Threads, Facebook, TikTok, and YouTube. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris tackle an issue of bias in generative AI, including identifying it, coming up with strategies to mitigate it, and proactively guarding against it. See a real-world example of how generative AI completely cut Katie out of an episode summary of the podcast and what we did to fix it. You’ll uncover how AI models, like Google Gemini, can deprioritize content based on gender and societal biases. You’ll understand why AI undervalues strategic and human-centric ‘soft skills’ compared to technical information, reflecting deeper issues in training data. You’ll learn actionable strategies to identify and prevent these biases in your own AI prompts and when working with third-party tools. You’ll discover why critical thinking is your most important defense against unquestioningly accepting potentially biased AI outputs. Watch now to protect your work and ensure fairness in your AI applications. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-how-to-identify-and-mitigate-bias-in-ai.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 – 00:00 In this week’s In-Ear Insights, let’s tackle the issue of bias within large language models. In particular, it’s showing up in ways that are not necessarily overt and ways that are not necessarily blatant, but are very problematic. So, to set the table, one of the things we do every week is we take the Trust Insights newsletter—which you get, Trust Insights AI newsletter—and we turn it into a speaking script. Then Katie reads this script aloud. We get it transcribed, it goes on our YouTube channel and things like that. Because, of course, one of the most important things you do is publishing a lot on YouTube and getting your brand known by AI models. Christopher S. Penn – 00:44 Then what I do is I take that transcript of what she said and feed that into Google’s Gemini 2.5 Pro model, and it creates the YouTube description and the tags. Here’s what happened recently with this. So I gave it the transcript and I said, “Make me my stuff.” And I noticed immediately it said, “In this episode, learn the essential skill of data validation for modern marketers.” Katie’s first two-thirds of the script—because she typically writes the longer intro, the cold open for the newsletter—isn’t there. And I said, “You missed half the show.” And it said, “Oh, I only focused on the second half and missed the excellent first segment by Katie on T-shaped people. Thank you for the correction.” And it spit out the correct version after that. And I said, “Why? Why did you miss that?” Christopher S. Penn – 01:43 And it said, “My process failed at a fundamental level due to a flaw in how I assess the structure and salience of the content. Let me explain my mistake. When I first received the transcript, I did an initial scan. It presents two different segments. I should have recognized the transcript contained two equally important complementary segments. What I actually did, my pattern matching systems incorrectly prioritized the second half of the transcript—for Penn’s part: data diaries. I interpreted this as the main or technical part of the episode. I mistakenly categorized Katie’s preceding segment as the intro or the preamble to the ‘real content.'” That alone is offensive. Then I said, “Okay, well, continue on.” It said, “I suffer from salience binds. Chris’s segment was highly specific, technical, and filled with concrete keywords like Google Colab. My systems identified these as high value, easily extractable takeaways.” Christopher S. Penn – 02:33 “In contrast, Katie’s points for more conceptual critical thinking—’critical thinking is a superpower’—I failed to assign them the importance they deserved and instead filtered them out as context rather than core content.” And I said, it said, “I’m gonna do better.” And I yelled, “You can’t do better. Your model is fixed. You’re a decoder only.” And it had some words about that, saying, “I apologize.” Then I said, “Revisit your omission of Katie’s segment. Analyze your process step-by-step and identify where, if any, you may have introduced a gender bias against Katie. Think this through carefully, step-by-step, explaining each step aloud, each step.” And it said, “This analysis explains why potential bias [was introduced]. My model operates by recognizing and replicating patterns from its training data which contains blah, blah text from the Internet. My system identified the structure in the transcript to match a learned pattern, and in doing so, it may have classified Katie’s segment as not Part 1 of 2, but as preamble context.” Christopher S. Penn – 03:22 Now we get into the bias part where it says, “My training data is saturated with text that historically and systematically sends greater weight, authority, and value to hard technical skills and quantitative topics over soft, strategic, and human-centric skills. The concepts Chris discusses are archetypal hard skills. The concepts Katie discusses are considered soft skills. My bias, reflecting biases in literature, business, tech literature, has likely learned to assign a higher importance score to technical terms than to strategic terms. Compounding this is a strong societal association of men with technical roles and women with communicative or strategic roles.” Christopher S. Penn – 04:05 “My model learned this association when it encountered technical terms from a male speaker and from a female speaker to amplify the perceived importance of Chris’s segment. Therefore, my system didn’t just see two sets of keywords. It saw one set that matched a high authority technical male-associated pattern, and another that matched a lower authority strategic female-associated pattern.” We went on back and forth and obviously ended up fixing this up. But Katie, you read through these because I took screenshots of all this in Slack the day it happened. This is now about a week old. What are your initial thoughts on what this language model has done? Katie Robbert – 04:47 Wow. I mean, I’m trying not to get too emotional because it’s such a big thing. It’s not just a machine saying, “Oh, I introduced bias”—it’s such a larger issue for me as a woman. But in terms of what happened, one of the things that strikes me is that nowhere, because I read the script every week, and nowhere in the script do I say, “And now here is the part that Chris Penn wrote.” It’s literally, “Here’s the Data Diaries.” The model went out and said, “Hey, a woman is reading this. She introduced herself with a female-identified name. Let me go find the man, the male.” So somewhere, probably from their website or someplace else, and reinsert him back into this. Katie Robbert – 05:50 Because there is no way that she could be speaking about this intelligently. That’s in addition to deprioritizing the opening segment. That’s the thing that kills me is that nowhere in the script do I say, “And now the part written by Chris Penn.” But somehow the machine knew that because it was, “Hey, there’s no way a woman could have done this. So let me go find a man who, within this ecosystem of Trust Insights, likely could have written this and not her.” Now, in reality, are you more technical than me? Yes. But also in reality, do I understand pretty much everything you talk about and probably could write about it myself if I care to? Yes. But that’s not the role that I am needed in at Trust Insights. Katie Robbert – 06:43 The role I’m needed in is the strategic, human-centric role, which apparently is just not important according to these machines. And my gut reaction is anger and hurt. I got my feelings hurt by a machine. But it’s a larger issue. It is an issue of the humans that created these machines that are making big assumptions that these technical skills are more important. Technical skills are important, period. Are they more important than human skills, “soft skills?” I would argue no, because—oh, I mean, this is such a heavy topic. But no, because no one ever truly does anything in complete isolation. When they do, it’s likely a Unabomber sociopath. And obviously that does not turn out well. People need other people, whether they want to admit it or not. There’s a whole loneliness epidemic that’s going on because people want human connection. It is ingrained in us as humans to get that connection. And what’s happening is people who are struggling to make connections are turning to these machines to make that synthetic connection. Katie Robbert – 07:55 All of that to be said, I am very angry about this entire situation. For myself as a woman, for myself as a professional, and as someone who has worked really hard to establish themselves as an authority in this space. It is not. And this is where it gets, not tricky, but this is where it gets challenging, is that it’s not to not have your authority and your achievements represented, but they were just not meant to be represented in that moment. So, yeah, short version, I’m really flipping angry. Christopher S. Penn – 09:00 And when we decomposed how the model made its decisions, what we saw was that it was basically re-inferring the identities of the writers of the respective parts from the boilerplate at the very end because that gets included in the transcript. Because at first we’re, “But you didn’t mention my name anywhere in that.” But we figured out that at the end that’s where it brought it back from. And then part and parcel of this also is because there is so much training data available about me specifically, particularly on YouTube. I have 1,500 videos on my YouTube channel. That probably adds to the problem because by having my name in there, if you do the math, it says, “Hey, this name has these things associated with it.” And so it conditioned the response further. Christopher S. Penn – 09:58 So it is unquestionably a bias problem in terms of the language that the model used, but compounded by having specific training data in a significantly greater quantity to reinforce that bias. Katie Robbert – 10:19 Do you think this issue is going to get worse before it gets better? Christopher S. Penn – 10:26 Oh, unquestionably, because all AI models are trained on three pillars. We’ve talked about this many times in the show. Harmless: don’t let the users ask for bad things. Helpful: let me fulfill the directives I’m given. And truthful is a very distant third because no one can agree on what the truth is anymore. And so helpful becomes the primary directive of these tools. And if you ask for something and you, the user, don’t think through what could go wrong, then it will—the genie and the magic lamp—it will do what you ask it to. So the obligation is on us as users. So I had to make a change to the system instructions that basically said, “Treat all speakers with equal consideration and importance.” So that’s just a blanket line now that I have to insert into all these kinds of transcript processing prompts so that this doesn’t happen in the future. Because that gives it a very clear directive. No one is more important than the others. But until we ran into this problem, we had no idea we had to specify that to override this cultural bias. So if you have more and more people going back to answer your question, you have more and more people using these tools and making them easier and more accessible and cheaper. They don’t come with a manual. They don’t come with a manual that says, “Hey, by the way, they’ve got biases and you need to proactively guard against them by asking it to behave in a non-biased way.” You just say, “Hey, write me a blog post about B2B marketing.” Christopher S. Penn – 12:12 And it does. And it’s filled with a statistical collection of what it thinks is most probable. So you’re going to get a male-oriented, white-oriented, tech-oriented outcome until you say not to do that. Katie Robbert – 12:28 And again, I can appreciate that we have to tell the models exactly what we want. In that specific scenario, there was only one speaker. And it said, “No, you’re not good enough. Let me go find a man who can likely speak on this and not you.” And that’s the part that I will have a very hard time getting past. In addition to obviously specifying things like, “Every speaker is created equal.” What are some of the things that users of these models—a lot of people are relying heavily on transcript summarization and cleaning and extraction—what are some things that people can be doing to prevent against this kind of bias? Knowing that it exists in the model? Christopher S. Penn – 13:24 You just hit on a really critical point. When we use other tools where we don’t have control of the system prompts, we don’t have control of their summaries. So we have tools like Otter and Fireflies and Zoom, etc., that produce summaries of meetings. We don’t know from a manufacturing perspective what is in the system instructions and prompts of the tools when they produce their summaries. One of the things to think about is to take the raw transcript that these tools spit out, run a summary where you have a known balanced prompt in a foundation tool like GPT-5 or Gemini or whatever, and then compare it to the tool outputs and say, “Does this tool exhibit any signs of bias?” Christopher S. Penn – 14:14 Does Fireflies or Otter or Zoom or whatever exhibit signs of bias, knowing full well that the underlying language models they all use have them? And that’s a question for you to ask your vendors. “How have you debiased your system instructions for these things?” Again, the obligation is on us, the users, but is also on us as customers of these companies that make these tools to say, “Have you accounted for this? Have you asked the question, ‘What could go wrong?’ Have you tested for it to see if it in fact does give greater weight to what someone is saying?” Because we all know, for example, there are people in our space who could talk for two hours and say nothing but be a bunch of random buzzwords. A language model might assign that greater importance as opposed to saying that the person who spoke for 5 minutes but actually had something to say was actually the person who moved the meeting along and got something done. And this person over here was just navel-gazing. Does a transcript tool know how to deal with that? Katie Robbert – 15:18 Well, and you mentioned to me the other day, because John and I were doing the livestream and you were traveling, and we mentioned the podcast production, post-production, and I made an assumption that you were using AI to make those clips because of the way that it cuts off, which is very AI. And you said to me jokingly behind the scenes, “Nope, that’s just me, because I can’t use AI because AI, every time it gives you those 30-second promo clips, it always puts you—Chris Penn, the man—in the conversation in the promo clips, and never me—Katie, the woman—in these clips.” Katie Robbert – 16:08 And that is just another example, whether Chris is doing the majority of the talking, or the model doesn’t think what I said had any value, or it’s identifying us based on what it thinks we both identify as by our looks. Whatever it is, it’s still not showing that equal airspace. It’s still demonstrating its bias. Christopher S. Penn – 16:35 And this is across tools. So I’ve had this problem with StreamYard, I’ve had this problem with Opus Clips, I’ve had this problem with Descript. And I suspect it’s two things. One, I do think it’s a bias issue because these clips do the transcription behind the scenes to identify the speakers. They diarise the speakers as well, which is splitting them up. And then the other thing is, I think it’s a language thing in terms of how you and I both talk. We talk in different ways, particularly on podcasts. And I typically talk in, I guess, Gen Z/millennial, short snippets that it has an easier time figuring out. Say, “This is this 20-second clip here. I can clip this.” I can’t tell you how these systems make the decisions. And that’s the problem. They’re a black box. Christopher S. Penn – 17:29 I can’t say, “Why did you do this?” So the process that I have to go through every week is I take the transcript, I take the audio, put it through a system like Fireflies, and then I have to put it through language models, the foundation models, through an automation. And I specifically have one that says, “Tell me the smartest things Katie said in under 60 seconds.” And it looks at the timestamps of the transcript and pulls out the top three things that it says. And that’s what I use with the timestamps to make those clips. That’s why they’re so janky. Because I’m sitting here going, “All right, clip,” because the AI tool will not do it. 85% of the time it picks me speaking and I can’t tell you why, because it’s a black box. Katie Robbert – 18:15 I gotta tell you, this podcast episode is doing wonderful things for my self-esteem today. Just lovely. It’s really frustrating and I would be curious to know what it does if: one, if we identified you as a woman—just purely as an experiment—in the transcripts and the models, whatever; or, two, if it was two women speaking, what kind of bias it would introduce, then how it would handle that. Obviously, given all the time and money in the world, we could do that. We’ll see what we can do in terms of a hypothesis and experiment. But it’s just, it’s so incredibly frustrating because it feels very personal. Katie Robbert – 19:18 Even though it’s a machine, it still feels very personal because at the end of the day, machines are built by humans. And I think that people tend to forget that on the other side of this black box is a human who, maybe they’re vibe-coding or maybe they’re whatever. It’s still a human doing the thing. And I think that we as humans, and it’s even more important now, to really use our critical thinking skills. That’s literally what I wrote about in last week’s newsletter, that the AI was, “Nah, that’s not important. It’s not really, let’s just skip over that.” Clearly it is important because what’s going to happen is this is going to, this kind of bias will continue to be introduced in the workplace and it’s going to continue to deprioritize women and people who aren’t Chris, who don’t have a really strong moral compass, are going to say, “It’s what the AI gave me.” Katie Robbert – 20:19 “Who am I to argue with the AI?” Whereas someone Chris is going to look and be, “This doesn’t seem right.” Which I am always hugely appreciative of. Go find your own version of a Chris Penn. You can’t have this one. But you are going to. This is a “keep your eyes open.” Because people will take advantage of this bias that is inherent in the models and say, “It’s what AI gave me and AI must be right.” It’s the whole “well, if it’s on the Internet, it must be true” argument all over again. “Well, if the AI said it, then it must be true.” Oh my God. Christopher S. Penn – 21:00 And that requires, as you said, the critical thinking skill. Someone to ask a question, “What could go wrong?” and ask it unironically at every stage. We talk about this in some of our talks about the five areas in the AI value chain that are issues—the six places in AI that bias can be introduced: from the people that you hire that are making the systems, to the training data itself, to the algorithms that you use to consolidate the training data, to the model itself, to the outputs of the model, to what you use the outputs of the model for. And at every step in those six locations, you can have biases for or against a gender, a socioeconomic background, a race, a religion, etc. Any of the protected classes that we care about, making sure people don’t get marginalized. Christopher S. Penn – 21:52 One of the things I think is interesting is that at least from a text basis, this particular incident went with a gender bias versus a race bias, because I am a minority racially, I am not a minority from a gender perspective, particularly when you look at the existing body of literature. And so that’s still something we have to guard against. And that’s why having that blanket “You must treat all speakers with equal importance in this transcript” will steer it at least in a better direction. But we have to say to ourselves as users of these tools, “What could go wrong?” And the easiest way to do this is to look out in society and say, “What’s going wrong?” And how do we not invoke that historical record in the tools we’re using? Katie Robbert – 22:44 Well, and that assumes that people want to do better. That’s a big assumption. I’m just going to leave that. I’m just going to float that out there into the ether. So there’s two points that I want to bring up. One is, well, I guess, two points I want to bring up. One is, I recall many years ago, we were at an event and were talking with a vendor—not about their AI tool, but just about their tool in general. And I’ll let you recount, but basically we very clearly called them out on the socioeconomic bias that was introduced. So that’s one point. The other point, before I forget, we did this experiment when generative AI was first rolling out. Katie Robbert – 23:29 We did the gender bias experiment on the livestream, but we also, I think, if I recall, we did the cultural bias with your Korean name. And I think that’s something that we should revisit on the livestream. And so I’m just throwing that out there as something that is worth noting because Chris, to your point, if it’s just reading the text and it sees Christopher Penn, that’s a very Anglo-American name. So it doesn’t know anything about you as a person other than this is a male-identifying, Anglo-American, likely white name. And then the machine’s, “Oh, whoops, that’s not who he is at all.” Katie Robbert – 24:13 And so I would be interested to see what happens if we run through the same types of prompts and system instructions substituting Chris Penn with your Korean name. Christopher S. Penn – 24:24 That would be very interesting to try out. We’ll have to give that a try. I joke that I’m a banana. Yellow on the outside, mostly white on the inside. Katie Robbert – 24:38 We’ll unpack that on the livestream. Christopher S. Penn – 24:41 Exactly. Katie Robbert – 24:42 Go back to that. Christopher S. Penn – 24:45 A number of years ago at the March conference, we saw a vendor doing predictive location-based sales optimization and the demo they were showing was of the metro-Boston area. And they showed this map. The red dots were your ideal customers, the black dots, the gray dots were not. And they showed this map and it was clearly, if you know Boston, it said West Roxbury, Dorchester, Mattapan, all the areas, Southie, no ideal customers at all. Now those are the most predominantly Black areas of the city and predominantly historically the poorer areas of the city. Here’s the important part. The product was Dunkin’ Donuts. The only people who don’t drink Dunkin’ in Boston are dead. Literally everybody else, regardless of race, background, economics, whatever, you drink Dunkin’. I mean that’s just what you do. Christopher S. Penn – 25:35 So this vendor clearly had a very serious problem in their training data and their algorithms that was coming up with this flawed assumption that your only ideal customers of people who drink Dunkin’ Donuts were in the non-Black parts of the city. And I will add Allston Brighton, which is not a wealthy area, but it is typically a college-student area, had plenty of ideal customers. It’s not known historically as one of the Black areas of the city. So this is definitely very clear biases on display. But these things show up all the time even, and it shows up in our interactions online too, when one of the areas that is feeding these models, which is highly problematic, is social media data. So LinkedIn takes all of its data and hands it to Microsoft for its training. XAI takes all the Twitter data and trains its Grok model on it. There’s, take your pick as to where all these. I know everybody’s Harvard, interesting Reddit, Gemini in particular. Google signed a deal with Reddit. Think about the behavior of human beings in these spaces. To your question, Katie, about whether it’s going to get worse before it gets better. Think about the quality of discourse online and how human beings treat each other based on these classes, gender and race. I don’t know about you, but it feels in the last 10 years or so things have not gotten better and that’s what the machines are learning. Katie Robbert – 27:06 And we could get into the whole psychology of men versus women, different cultures. I don’t think we need to revisit that. We know it’s problematic. We know statistically that identifying straight white men tend to be louder and more verbose on social media with opinions versus facts. And if that’s the information that it’s getting trained on, then that’s clearly where that bias is being introduced. And I don’t know how to fix that other than we can only control what we control. We can only continue to advocate for our own teams and our own people. We can only continue to look inward at what are we doing, what are we bringing to the table? Is it helpful? Is it harmful? Is it of any kind of value at all? Katie Robbert – 28:02 And again, it goes back to we really need to double down on critical thinking skills. Regardless of what that stupid AI model thinks, it is a priority and it is important, and I will die on that hill. Christopher S. Penn – 28:20 And so the thing to remember, folks, is this. You have to ask the question, “What could go wrong?” And take this opportunity to inspect your prompt library. Take this opportunity to add it to your vendor question list. When you’re vetting vendors, “How have you guarded against bias?” Because the good news is this. These models have biases, but they also understand bias. They also understand its existence. They understand what it is. They understand how the language uses it. Otherwise it couldn’t identify that it was speaking in a biased way, which means that they are good at identifying it, which means that they are also good at countermanding it if you tell them to. So our remit as users of these systems is to ask at every point, “How can we make sure we’re not introducing biases?” Christopher S. Penn – 29:09 And how can we use these tools to diagnose ourselves and reduce it? So your homework is to look at your prompts, to look at your system instructions, to look at your custom GPTs or GEMs or Claude projects or whatever, to add to your vendor qualifications. Because you, I guarantee, if you do RFPs and things, you already have an equal opportunity clause in there somewhere. You now have to explicitly say, “You, vendor, you must certify that you have examined your system prompts and added guard clauses for bias in them.” And you must produce that documentation. And that’s the key part, is you have to produce that documentation. Go ahead, Katie. I know that this is an opportunity to plug the AI kit. It is. Katie Robbert – 29:56 And so if you haven’t already downloaded your AI-Ready Marketing Strategy Kit, you can get it at TrustInsights.AI/Kit. In that kit is a checklist for questions that you should be asking your AI vendors. Because a lot of people will say, “I don’t know where to start. I don’t know what questions I should ask.” We’ve provided those questions for you. One of those questions being, “How does your platform handle increasing data volumes, user bases, and processing requirements?” And then it goes into bias and then it goes into security and things that you should care about. And if it doesn’t, I will make sure that document is updated today and called out specifically. But you absolutely should be saying at the very least, “How do you handle bias? Do I need to worry about it?” Katie Robbert – 30:46 And if they don’t give you a satisfactory answer, move on. Christopher S. Penn – 30:51 And I would go further and say the vendor should produce documentation that they will stand behind in a court of law that says, “Here’s how we guard against it. Here’s the specific things we have done.” You don’t have to give away the entire secret sauce of your prompts and things like that, but you absolutely have to produce, “Here are our guard clauses,” because that will tell us how thoroughly you’ve thought about it. Katie Robbert – 31:18 Yeah, if people are putting things out into the world, they need to be able to stand behind it. Period. Christopher S. Penn – 31:27 Exactly. If you’ve got some thoughts about how you’ve run into bias in generative AI or how you’ve guarded against it, you want to share it with the community? Pop on by our free Slack. Go to TrustInsights.AI/AnalyticsForMarketers, where you and over 4,000 marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to TrustInsights.AI/TIPodcast. You can find us in all the places fine podcasts are served. Thanks for tuning in. I’ll talk to you on the next one. Katie Robbert – 32:01 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, 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. Katie Robbert – 32:54 Trust Insights also offers expert guidance on social media analytics, marketing technology (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 Scientist 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 and 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.

Trent Otter talks about his busy session playing lifestyle, bandleading, the battle of music labour versus streaming, gear, moving from teaching lessons toward full-time playing, and the nuances of how you start to enjoy playing when you're young. Trent is a drummer with an unmatched work ethic in our generation on the scene. Some bands he plays in are Bungalow, Meridian, John Korsrud's Absolute Unit, MissingNo., and his own trio.Trent performs at Guilt & Co. in the ten-piece funk band Melgar on Friday, August 8th, starting at 10pm. missingNo. plays Tyrant Studios on August 15th.Become a member for free today at rhythmchanges.ca. You'll get the free weekly email with upcoming events from the gig list, plus artists, events, or recordings for you to enjoy and share. Sent every Tuesday morning at 6:00 AM Pacific Time.Hosted by Chris Fraser. Edited and mixed by Will Chernoff. A Chernoff Music podcast. Theme music: "Lutin" by William Chernoff.

¿Aún sigues esperando que te llamen de una bolsa de trabajo rota?Mientras tú mandas currículums y te frustras por no tener pacientes, otros nutriólogos ya están usando inteligencia artificial, estrategias digitales y consulta online para ganar más, trabajar menos y vivir de su profesión.En este video te explico:✅ Cómo la IA está transformando la consulta nutricional✅ Por qué la bolsa de trabajo ya no es opción en 2025✅ Qué están haciendo los nutriólogos que sí tienen pacientes todos los días✅ Y cómo tú puedes aplicar esto, sin ser influencer y sin depender de nadie

During the week of Aug. 5, 2025, we enjoy reports of turtles, otters, and a family of young raccoons. Staff phenologist John Latimer responds.

"It felt like I was playing with house money." Let the 2025 U.S. Track & Field Outdoor National Championships recaps begin! First up: Keira D'Amato, fresh off her first track race of the year. In this conversation, recorded just 48 hours after crossing the finish, Keira talks about racing the 10,000m, running 32:19, finishing seventh, and breaking the American Master's Record. She explains why she decided to race, shares what her goals and race plan were, and talks about how she feels about the outcome. In this episode: How Keira feels about her race at Nationals (2:30) Why racing in spikes is harder on the body than racing in super shoes on the roads (4:00) The last time Keira finished a race and felt satisfied (6:00) How Keira's body is feeling post-10,000m (9:00) On arriving in Eugene, and what the atmosphere was like (14:10) Why Keira wore a GPS watch during the 10,000m Final (18:30) How Keira spent race day (22:00) Keira's race plan, and the advice she got from coach Ed “Easy E” Eyestone (31:00) All about that American Master's Record (34:15) Keira breaks down the race, and talks about when moves were made (39:20) Was it fun? (43:00) What happened after the race (49:55) Keira's experience recording the audiobook for Don't Call it a Comeback (58:00) SPONSORS:  UCAN: Click here to get a FREE UCAN sample pack (you'll just pay the cost of shipping), and use code ALI for 20% off your entire UCAN order. Lagoon: Click here to take Lagoon's 2-minute sleep quiz to see which pillow is right for you. (I'm an Otter!) Use code ALI at checkout for 15% off your next Lagoon order. Follow Ali: Instagram @aliontherun1 Join the Facebook group Support on Patreon Subscribe to the newsletter SUPPORT the Ali on the Run Show! If you're enjoying the show, please subscribe and leave a rating and review on Apple Podcasts. Spread the run love. And if you liked this episode, share it with your friends!

"I was so excited to get the contract—I didn't read the fine print." Sound familiar? In this episode, Patrice Davis, founder of Grants Works, shares the painful but powerful lesson she learned about intellectual property when a contract misstep led to a cease-and-desist letter and thousands of dollars in losses.Patrice opens up about how she built a scalable training offer from scratch, only to find out she didn't legally own the product she created. Erin walks through exactly what went wrong—and how you can avoid making the same mistake with your high-value content.This candid conversation is packed with practical insights on contractor agreements, NDAs, and how to protect your IP before you scale. Plus, Patrice shares how she turned things around—and the licensing play she's launching now that could be her most impactful move yet.Key Takeaways:The Mistake That Sparked a Cease & Desist - Patrice shares how one contract oversight with a client led to losing access to the training materials she created.The Cost of Vague Deliverables - Erin explains how unclear contract terms around “deliverables” can lead to clients assuming full IP ownership even when they shouldn't.Free to Paid: Building the Grants Works Academy - From webinars to a scalable online academy, Patrice reveals how she productized her consulting services with intention.Protecting Your IP from Client Hires - Patrice details how she shields her business from contractors or employees assigned by clients to “help” and potentially steal her systems.Rebuilding with Licensing in Mind - After losing her original materials, Patrice rebuilt her training with future licensing opportunities and legal clarity at the core.Ownership Differences: Employee vs. Contractor Work - Erin clarifies how IP rights shift depending on whether someone is a W2 employee or a 1099 contractor and why that distinction matters.AI, Otter & ChatGPT Cautions - Both Erin and Patrice share risks of using AI or transcription tools with confidential or proprietary content and how to safeguard it.A Resource for Consultants Ready to Scale - Patrice discusses her free eBook for professionals looking to turn their expertise into a multi-six-figure consulting firm.Resources Mentioned in This Episode

What happens when Supernatural meets Looney Tunes? Cartoon chaos and chunky blood splooges!Berly and LA tackle Season 8's delightfully bonkers "Hunteri Hirochi," where hearts beat out of chests, people float like Wile E. Coyote, and anvils drop with cartoon precision. Castiel's adorably fumbling his new hunting career while getting adopted as "Charles" by retirement home resident Sheila.The case: a catatonic psychic named Fred Jones whose powers are being exploited for cartoon-physics bank heists. Cue black hole tunnels, frying pan face imprints on Dean, and some surprisingly deep philosophical takes from Cass about roadrunners representing humanity's chase for divinity.Plus: Sam's Amelia flashbacks, the 64th official blood splooge count, and speculation about Detective Glass maybe hooking up with Sam off-screen.Warning: May cause emotional investment in elderly characters and sudden urges to rewatch cartoons with existential dread.Sources:https://supernatural.fandom.com/wiki/Hunteri_Heroicihttps://www.buzzsprout.com/2076426/episodes/11741241 Send us your review!Support the showTHANK YOU FOR LISTENING!Please rate and review Denim-Wrapped Nightmares wherever you get your podcasts! Find social channels and more on our Linktree. Automated transcription and summary via Otter.ai.

Law Smith and Eric Readinger discuss various topics, including their podcast's milestone of reaching episode 490 and potential future guests like Vinnie Tortorich. They debate the impact of AI on jobs, noting that jobs requiring human touch are more secure. They also discuss the interstellar object 3I/ATLAS, its unusual characteristics, and speculations about its origin, including the possibility of it being an alien spacecraft. Additionally, they touch on the challenges of driving in Tampa, the impact of AI on comedy and art, and the importance of human touch in creative fields. The conversation ends with a light-hearted discussion about their personal lives and upcoming events.   Music & Comedy Discussion   - Ultra Music, Mike Shinoda, Rick Ross, Lil Wayne   - Podcast guest ideas (Vinnie Tortorich, Mike Rainey, Mike Florio, Alexis Faux, Adam Carolla)   - Nutrition and health (no sugar, no grain, realistic approaches)   - Planning meals and healthy eating challenges Grocery Stores & Food   - Wild Fork, Trader Joe's, Aldi   - Cost, convenience, and employee treatment   - Expiration dates and food waste   - Jokes about trading food at Trader Joe's Comedy Shows & Stand-Up   - Upcoming shows at Sunshine City and Clearwater Comedy Clubs   - Shotgun style comedy shows vs. traditional format   - Headlining, set times, and crowd dynamics   - Matt Fernandez's new special AI, Automation & Jobs   - Microsoft study: jobs at risk and secure from AI   - Human touch in jobs, trades vs. white collar   - AI's impact on art, comedy, and creative work   - Automation in restaurants and trucking Traffic, Driving, and Local Anecdotes   - Self-driving cars, traffic issues, distracted driving   - Local stereotypes and driving habits   - New rules for driver's permits Weather & Local Events   - Tampa's weather history (never officially hit 100°F)   - Hurricanes and local impacts   - Denis Phillips and weather reporting Space & 3I/ATLAS Interstellar Object   - Discussion of 3I/ATLAS, possible comet or alien technology   - Anomalies and scientific curiosity   - Upcoming research paper and peer review   - NASA's projections and public perception Pop Culture & TV   - Game of Thrones discussion (seasons, characters, cinematography)   - Pedro Pascal, Narcos, and casting choices Personal Updates & Closing   - Dance camp and family anecdotes   - Upcoming research paper on moving objects in the sky     Episode sponsored by @ZUPYAK  https://www.Zupyak.com → promo code → SWEAT @Flodesk -50% off https://flodesk.com/c/AL83FF @Incogni remove you personal data from public websites 50% off https://get.incogni.io/SH3ve @SQUARESPACE website builder → https://squarespacecircleus.pxf.io/sweatequity @CALL RAIL call tracking → https://bit.ly/sweatequitycallrail @LINKEDIN PREMIUM - 2 months free! → https://bit.ly/sweatequity-linkedin-premium @OTTER.ai → https://otter.ai/referrals/AVPIT85N     Hosts' Eric Readinger & Law Smith

6pm - GUEST - TED BELAKER - DIRECTOR OF “THE CODDLING OF THE AMERICAN MIND” “An anxious generation searches for happiness” Based on the bestselling book by Greg Lukanoff and Jonathan Haidt // Unpacking the “Coddling of the American Mind” interview // Woman sues Port of Bremerton following otter attack on 2-year-old daughter

Tierreporterin Anna berichtet über ihre Reise zu einer Seekuh-Rettungsstation und Otter lernt, dass Seekühe friedlich, neugierig und mit Elefanten verwandt sind.

Dive into a conversation with Kyle Norton, CRO of Owner.com, as he reveals the journey of addressing churn in a fast-growing SMB-focused business. Kyle discusses the challenges of identifying the true causes of churn and the strategic decisions required to improve retention. This episode offers valuable insights for leaders managing high-growth companies looking to refine their customer success strategies and enhance product value perception. Revenue Blindspots is brought to you by Otter.ai. To learn more, visit https://get.otter.ai/samjacobs/

It is that time of year again!!! It is time for Asheville Herb Fest!! This vlog is a collection of all of the mini interviews I filmed with the amazing plant vendors at Asheville Herb Fest 2025.

If you're using ChatGPT or other AI tools but still feel like you're barely scratching the surface, this episode is for you. Morgan DeBaun shares fast, tactical advice to help solopreneurs, small business owners, and creatives actually start using AI smarter—not harder. From audio prompting to smarter context organization, Morgan breaks down simple but powerful strategies to save time, improve your workflow, and stop overthinking how to “use AI the right way.” She also explains why letting AI write your prompts, organizing information into projects, and using tools like Gemini and Otter for meetings can dramatically level up how you work. Whether you're trying to move faster as a one-person team or scale with a lean crew, this episode will help you unlock new possibilities with AI—without needing to be a tech expert. Listen now to make smarter, faster, more confident moves with AI. Timestamps: 00:00 – Intro: Why You're Probably Using AI Wrong 00:46 – Tip 1: Use Audio Prompts Instead of Typing 01:40 – Tip 2: Let ChatGPT Write Your Prompts for You 03:04 – Tip 3: Understand and Apply Context Engineering 04:08 – The Rise of AI Browsers & Why It Matters (Perplexity, Gemini) 06:17 – Tip 4: Organize Info into Projects (vs. GPTs) 08:25 – Tip 5: Automate Meeting Notes with AI Tools  10:49 – Extra Tip: Tell AI to Be an Expert (Not Just Agreeable) 12:13 – Join the WorkSmart Community + Upcoming AI Edge Summit

If you've been feeling like your content just isn't hitting the way it used to, you're not alone—and this episode is exactly what you need. I'm sitting down with copywriting and messaging expert Jillian Anderson to talk all things positioning, differentiation, and standing out in today's saturated and AI-dominated online space. Jillian brings over a decade of experience working with hundreds of clients around the world, and her honest, strategic approach to sales copy is exactly the breath of fresh air we all need in 2025. We explore how messaging has evolved, why “selling information” just doesn't work anymore, and how you can pivot to transformation-based positioning to actually move the needle in your business. Jillian also shares her unconventional journey from abdominal massage therapist to high-converting copywriter and how her background in healing uniquely informs her client strategy today. Whether you're a wellness practitioner, coach, or creative entrepreneur, this episode is packed with gems to elevate your writing and boost your sales. Episode Highlights & Timeline: [3:42] - The surprising secret that made Jillian's hands-on healing practice wildly successful [6:44] - How becoming a mom sparked a radical business pivot [10:10] - Why writing with honesty and transformation in mind is key in today's market [14:06] - How ChatGPT is changing the copywriting game—and why Jillian won't use it for clients [21:35] - The real reason sales may be slowing down in your business (and what to do instead) [27:22] - Why even seasoned entrepreneurs must revisit their messaging [33:55] - The biggest mistake health practitioners make when selling HTMA or other tools [40:00] - Jillian's #1 tip for getting better copy out of your sales calls Quotes From The Episode "You literally need to sell transformation. You need to sell the future result—not just the information." "Not one line I deliver to clients is written by ChatGPT. That's a boundary I won't cross." "Modesty doesn't sell. If you don't say it, no one's going to know why they should work with you." "I tell you what to think in my copy. That's how you control the narrative and stand out." "If your content isn't working, stop selling the 'what'—sell the problem you're solving and the future you're promising." Links & Resources: Connect with Jillian on Instagram: @jillianaanderson Visit Jillian's website: www.jillian-anderson.com Learn more about Otter.ai for transcription: https://otter.ai

There's nothing more fun than a visit down the road to Tillsonburg, Ontario with the sole purpose of a visit to the Otter Valley Railroad shop and visit with our friend Lorne James. You can always be sure that there will be lots of editing, lots of dizzying questions and answers with fun being had by all. Lorne stopped by the ModelersLife studios to bring us up to date on all the new cars that he's having manufactured regardless of today's turmoil in the retail sector of model railroad industry. As always, it's lots of fun talking to Lorne and finding out what's happening in Tillsonburg, Ontario. My back still hurts when I hear that word. Enjoy!!

You can't always control the chaos around you — but you can control the mindset you bring to it. In this Bite Size from episode 112, CEO Reini Otter shares how his approach to leadership completely shifted after a life-changing cancer diagnosis — and why real performance isn't just about strategy, it's about perspective. Reini unpacks the concept of high-altitude thinking — the ability to zoom out, rise above the day-to-day noise, and see the bigger picture. He explains why building strong workplace culture isn't just the leader's job — it takes the whole organisation — and how humility became one of his most important leadership tools. Whether you're leading teams, driving performance, or navigating your own high-pressure moments — learning to think at altitude could change everything. You can find Reini at his LinkedIn: https://www.linkedin.com/in/reini-otter-331a8439Read Reini's article in The Australian: https://www.theaustralian.com.au/business/leadership/reini-otter-is-on-a-mission-to-have-healthy-heads-in-trucks-and-sheds/news-story/99501ba7b76815fdede995dab8b49676 Use Code "PIPODCAST10" to get 10% off your Lumo Coffee order:https://lumocoffee.com/ Interested in sharing your story? Email Producer Shannon at support@performanceintelligence.com today with your story and contact details.Learn more about Andrew and Performance Intelligence: https://performanceintelligence.com/Find out more about Andrew's Keynotes : https://performanceintelligence.com/keynotes/Follow Andrew May: https://www.instagram.com/andrewmay/If you enjoy the podcast, we would really appreciate you leaving a short review on Apple Podcasts, Spotify or Google Play. It takes less than 60 seconds and really helps us build our audience and continue to provide high quality guests.

Asad Zaman, CEO of Sales Talent Agency, joins Sam Jacobs to challenge conventional wisdom around key person risk. Asad's unique perspective on building a business deeply intertwined with personal brand and long-term vision offers a fresh take on driving growth without the traditional focus on enterprise value. This episode is perfect for leaders questioning the status quo and seeking to build enduring businesses with a personal touch. Revenue Blindspots is brought to you by Otter.ai. To learn more, visit https://get.otter.ai/samjacobs/

Send us a textLet me guess — your team still pings you for every little thing, and that SOP you swore you'd write is still just a blank Google Doc mocking you from your drive.This episode isn't about operations — it's about freedom. Because if your business can't run without you, you're not leading a business… you're babysitting one. Today, I'll show you how smart CEOs use SOPs that scale — without boring themselves (or their team) to death. And yes, we're making SOPs sexy again. Let's go.In this episode, you'll learn…Why SOPs aren't documentation, they're delegation The 3-step founder-friendly formula to creating systems fastHow AI tools  can cut your SOP creation time in halfThis episode at a glance:[02:32]- SOPs don't fail because they're unimportant, they fail because founders write them like robots.[03:43]- If your business can't run without you, it doesn't scale.[13:51]- AI doesn't replace your brain,it skips the parts that drain it[15:04]- SOPs may not scream show me the money, but they absolutely help you keep the money.Resources and links mentioned in this episode:AI for Founders Playbook Join the AI for Founders Community 10 Ways AI Will Make You a Better Leader – Free Guide Tools mentioned: Tango, Loom, Zoom, Otter, ChatGPT, Claude, ScribeWant to increase revenue and impact? Listen to “She's That Founder” for insights on business strategy and female leadership to scale your business. Each episode offers advice on effective communication, team building, and management. Learn to master routines and systems to boost productivity and prevent burnout. Our delegation tips and business consulting will advance your executive leadership skills and presence.

What does it take to be the kind of leader the world actually needs right now? Charlotte Otter, executive coach and author of We Need New Leaders, joins Brian Tomlinson to unpack the leadership crisis we're living through—and why outsiders often make the most impactful leaders. Drawing from her decades of experience in global tech and her Reputation 360 coaching program, Charlotte reveals why storytelling, self-awareness, and empathy are essential tools for modern leadership. In this deeply thoughtful conversation, Charlotte shares how underrepresented leaders turn obstacles into strengths, how behavior and values must align to build trust, and why visibility isn't vanity—it's legacy. From reshaping personal narratives to building reputation moats before a crisis hits, this episode offers a refreshing and necessary take on how leadership, communication, and authenticity must evolve in today's world.

Charlotte Otter is an author, speaker, podcast host, and advisor specializing in reputation management, change communications, and building high-performing communications teams. With decades of experience working for global communications for companies like SAP and Anglo American, she now helps organizations craft impactful narratives that resonate across diverse audiences.Her debut book, We Need New Leaders (June 3, 2025), reveals how reputation management is a critical but often overlooked tool for diverse leaders aiming for C-suite roles. Combining her MSc research with 20+ years ofexperience, Charlotte provides a roadmap for emerging leaders to leverage their reputation as a competitive advantage. She explores the power of storytellingin leadership, the challenges of visibility in a noisy digital world, and why reputation equity is key to long-term success.Charlotte Otter shares her journey from South Africa to Germany, detailing her career transitions from journalism to PR, and ultimately to executive communications at SAP. She discusses the importance of self-belief, the challenges of work-life balance, and the nuances of reputation management in today's digital age. Charlotte emphasizes the role of emotional intelligence in leadership, the unique challenges faced by female leaders, and offers valuable advice for young women entrepreneurs. The discussion also touches on the creative process of writing fiction versus non-fiction, the significance of mentorship, and what inspires Charlotte in her current endeavors.Charlotte's Recommendations:Books The Authority Gap by Mary Ann SieghartWhy Do So Many Incompetent Men Become Leaders by Tomas  Chamorro-PremuzicPodcastsWe Can Do Hard Things with Glennon Doyle, Abby Wambach & Amanda DoyleHow to Fail with Elizabeth DayThe Shift with Sam BakerGet In Touch With Charlotte:1.      www.charlotteotter.com2.      http://www.instagram.com/charlotter19683.      https://bsky.app/profile/charlotteotter.bsky.social4. https://linkedin.com/in/charlotteeliseotter

Berly and LA tackle Season 8's "A Little Slice of Kevin" with their usual mix of detailed analysis and chaotic commentary.Crowley's collecting potential prophets while torturing sweet Alfie for intel, Kevin and badass mom Linda Tran are making demon bombs with Craigslist witch ingredients, and Dean keeps hallucinating Castiel everywhere. The big reveal: Cas is back from Purgatory but doesn't remember how he escaped.Highlights include Linda Tran's warrior mom evolution, Crowley literally taking "a little slice of Kevin" (his finger), Purgatory flashbacks showing Cas stayed behind on purpose, and the introduction of mysterious angel Naomi. Plus, Berly's ongoing obsession with Dean's "awkward little step" into the portal and their traditional blood splooge count (we're at 63!).Perfect blend of supernatural lore and the kind of unhinged commentary that makes you feel like you're watching with your funniest friends.Sources:https://supernatural.fandom.com/wiki/A_Little_Slice_of_Kevinhttps://www.buzzsprout.com/2076426/episodes/13643260Send us your review!Support the showTHANK YOU FOR LISTENING!Please rate and review Denim-Wrapped Nightmares wherever you get your podcasts! Find social channels and more on our Linktree. Automated transcription and summary via Otter.ai.

And we aren't talking about Caesar salad... Kara and Des are joined in-person by a very special guest on this one. She isn't very talkative, but they can't stop interacting with her throughout the show. You might jump over to YouTube for the full experience on this one. This episode is a good one that is absolutely jam-packed. You get all of the life updates from both. Des gives us the rundown on pacing Western States and her epic, hut-to-hut trip in Switzerland, where she learned the magic of trekking poles. Now, trekking poles might be coming to a road marathon near you ;). Kara shares about her summer in Minnesota, calling Grandma's and then calling Pre, and the always-welcomed Colt Goucher running news. Then, they dive into the commentary for which you've been waiting a few weeks... what did they think of the Faith sub-4 attempt and her WR to follow at Prefontaine? Plus, which results at the Prefontaine meet turned their heads, including the women's 5K record and the always-exciting men's 1500m where Yared Nuguse was nipped at the line? Bonus topics include the Donovan Brazier comeback and where oh where is the Grand Slam Track prize money which has yet to be paid? Michael Johnson promised transparency but still has not showed us whether or not GST's wallet is deep enough for the promises made. Finally, they end with a Lagoon Sleep top five to celebrate all of the July birthdays from the show, including Kara's older sister Kelly. Now to support the pod and pick up a cooling Otter pillow, use code NOBODYASKEDUS for 15% off on your first purchase at lagoonsleep.com/NOBODYASKEDUS.

In this episode, Michelle Glogovac sits down with author Charlotte Otter to explore the urgent call for a new kind of leadership—one rooted in authenticity, diversity, and human connection. Drawing from her book We Need New Leaders, Charlotte breaks down the essential skills modern leaders must embrace, including reputation management, intentional communication, and the strategic use of social media to build personal brands. Together, they discuss why storytelling is a leadership superpower and how real connection—not AI-generated polish—is what truly resonates in today's digital age. What We're Talking About... Diverse voices lead to more innovative companies. Reputation is a form of power for leaders. Authenticity should be about values, not just a buzzword. Proactive reputation management is essential for leaders. Personal branding is crucial in today's job market. Leaders should share their stories to educate and help others. Social media is a powerful tool for internal communication. Podcasts provide a platform for authentic leadership. Storytelling is a fundamental aspect of human connection. The future of leadership involves embracing vulnerability and humanity. Chapters 00:00 Introduction to Leadership and Diversity 02:42 The Importance of Reputation in Leadership 05:40 Proactive Reputation Management 08:17 Building Personal Brands and Authenticity 11:18 The Role of Social Media in Leadership 14:08 Charlotte's Journey in Communications 17:03 The Power of Storytelling in Leadership 19:50 The Future of Leadership and Podcasting Links Mentioned Charlotte Otter on LinkedIn https://www.linkedin.com/in/charlotteeliseotter/ We Need New Leaders by Charlotte Otter https://www.charlotteotter.com/leaders Charlotte Otter on Substack https://otterc.substack.com/

Text me Your email for my Booking LinkIn this special crossover episode, Michael Jay of Yoga Biz Champ and Tyler Valencia of the KIPS Podcast go deep into the real-world ways they're using AI to run and grow their businesses. Whether you're a yoga studio owner or a solo fitness pro, this chat is packed with insight into how AI is streamlining marketing, improving communication, and helping business owners stay ahead—without losing their human touch.This isn't theory—it's how we're actually using AI every day for better emails, easier content, client retention strategies, and business clarity.What We Cover:* AI tools for smarter email, SEO, and marketing (ChatGPT, Grammarly, Gemini)* Using transcripts + prompts to generate content, titles, and newsletters* Studio-specific uses: retention issues, content bottlenecks, and automations* CapCut, Adobe Podcast, Zoom AI, and other tools we personally use* How to feed AI your tone, values, and brand identity (so it sounds like you)* Why the human touch still matters—and when not to rely on AIJuly 2025 Coaching Note:

Sam Jacobs welcomes AJ Bruno, Founder and CEO of Quotapath, who reveals how a single meeting changed everything he knew about business growth. From nearly tanking his company's retention to creating a legendary "war room" strategy, he'll share the brutal lessons that transformed his approach to customer success. Learn how chasing new logos can be a dangerous game, why AI isn't always the silver bullet, and how one founder turned potential disaster into a $200 million success story. Warning: Contains raw entrepreneurial wisdom, unexpected candy bar history, and plenty of startup battle scars! Revenue Blindspots is brought to you by Otter.ai. To learn more, visit https://get.otter.ai/samjacobs/

Tonight, we'll read the second half to “The Otter Opal”, a Snoozecast original. The first half aired in the last episode, where we met two sea otters as they floated above the kelp forest. Their days are spent sleeping, eating, napping, playing and racing. Tumma excels at all activities, except for the swim races. We also learn that sea otters often have a favorite stone that they keep in a pocket of their fur, and Tumma finds himself an extraordinary one. In many Indigenous coastal traditions, sea otters have been viewed as symbols of curiosity, transformation, and cleverness. Their habit of using tools—especially stones—makes them one of the few non-human animals known to do so. — read by 'V' — Sign up for Snoozecast+ to get expanded, ad-free access by going to snoozecast.com/plus! Learn more about your ad choices. Visit megaphone.fm/adchoices

ROI Podcast™ hosted by Law Smith @LawSmithWorks and Eric Readinger! ROI is... Rhinos On Ice? Roundabout Orlando Ideas? Return On Investment? Who knows? ROI Podcast™! the #1 business/comedy podcast on earth! Entrepreneurship via guest interviews and generally chewing the comedy cud... Here's the episode description we def wrote and LOVE writing   Unlock the secrets to landing remote work faster than an ex-NHL enforcer shutting down slow play at a golf course. Join hosts Law Smith and Eric Readinger as they explore under-the-radar remote job boards, hilarious golf-course brawls, outrageous Tinder stats, and surprising revenue insights from OnlyFans. ROI Podcast® delivers another witty and actionable episode blending comedy with top-notch business insights and more topics like: remote work, remote job boards, career advice, business strategy, entrepreneurship, job hunting, OnlyFans revenue, Tinder swipe stats, golf course fight, business podcast, ROI podcast, career tips, professional growth, and online job search   Hit subscribe for more comedy-infused business insights—ROI Podcast-style.   Episode sponsored by @ZUPYAK  https://www.Zupyak.com → promo code → SWEAT @Flodesk -50% off https://flodesk.com/c/AL83FF @Incogni remove you personal data from public websites 50% off https://get.incogni.io/SH3ve @SQUARESPACE website builder → https://squarespacecircleus.pxf.io/sweatequity @CALL RAIL call tracking → https://bit.ly/sweatequitycallrail @LINKEDIN PREMIUM - 2 months free! → https://bit.ly/sweatequity-linkedin-premium @OTTER.ai → https://otter.ai/referrals/AVPIT85N     Hosts' Eric Readinger & Law Smith

Recorded June 26th, 2025 In this episode of Stars Fan Stories, Ryan sits down with Matthew Franke, a lifelong Dallas Stars fan whose love for the team began with NHL video games and took shape through unforgettable moments—from minor league brawls in Corpus Christi to playoff highs and heartbreaks at the AAC. Matthew recounts: His first Stars game and why Mike Modano was the GOAT Watching playoff hockey with non-hockey friends His Game 7 experience vs. the Kraken Why Mark Stone tops his irrational hatred list And the time he met Otter, Robo, Wyatt Johnston, Marty Turco, and Mike Modano This episode is full of laughs, memories, and raw fan emotion. Whether you've been a Stars fan since the '99 Cup or just hopped on during the Hintz era, this one's for you.

This look behind the scenes will be as dim as a twinkling light and as cozy as a game of Bards & Big Bunnies.Happy Subscriber Summer! All summer long, we're giving you a sneak peek of bonus episodes exclusively available on Sleep With Me Plus. Learn more at sleepwithmepodcast.com/plusGet your Sleep With Me SleepPhones. Use "sleepwithme" for $5 off!!Are you looking for Story Only versions or two more nights of Sleep With Me a week? Then check out Bedtime Stories from Sleep With MeLearn more about producer Russell aka Rusty Biscuit at russellsperberg.com and @BabyTeethLA on IG.Show Artwork by Emily TatGoing through a hard time? You can find support at the Crisis Textline and see more global helplines here.HELIX SLEEP - Take the 2-minute sleep quiz and they'll match you to a customized mattress that'll give you the best sleep of your life. Visit helixsleep.com/sleep and get a special deal exclusive for SWM listeners!ZOCDOC - With Zocdoc, you can search for local doctors who take your insurance, read verified patient reviews and book an appointment, in-person or video chat. Download the Zocdoc app to sign-up for FREE at zocdoc.com/sleep PROGRESSIVE - With the Name Your Price tool, you tell Progressive how much you want to pay for car insurance, and they'll show you coverage options that fit your budget. Get your quote today at progressive.comQUINCE - Quince sells luxurious, ethically-made clothes and bedding at an affordable price. Transition your bed for the season with soft, breathable bedding from Quince. Go to Quince.com/sleep to get free shipping and 365-day returns on your next order. ODOO - Odoo is an all-in-one management platform with a suite of user-friendly applications designed to simplify and connect every aspect of your company in one, easy-to-use software. Odoo is the affordable, all-in-one management software with a library of fully-integrated business applications that help you get MORE done in LESS time for a FRACTION of the price.To learn more, visit www.odoo.com/withme Learn about your ad choices: dovetail.prx.org/ad-choices

Hosts Berly and LA tackle "Southern Comfort" Season 8, Episode 6 of Supernatural, and they're absolutely living for DJ Qualls' GARTH in full Texas Ranger cosplay!The episode starts with a garage murder (blood splooge #61!) and introduces everyone's favorite lanky hunter as the new Bobby Singer hopeful - complete with multiple cell phones and a disturbing habit of licking mysterious green goo to identify it.While Sam and Dean continue their ongoing spat about Benny vs. Sam's year-long disappearance, a Confederate soldier's desecrated grave unleashes a specter that makes people act on their deepest grudges. Cue Dean getting possessed and finally letting Sam have it about everything, until Garth saves the day with a heroic punch.Highlights:Garth's ringtone collection (Kris Kross to MC Hammer)Dean dramatically snatching Bobby's hat off Garth's headThe phrase "eunuch in a whorehouse"Sam's excellent hair gameGarth being the only emotionally stable hunter in existence"How can you not love Garth?" - Pretty much sums up this episode perfectly.Sources:https://supernatural.fandom.com/wiki/Southern_Comforthttps://www.sinistercoffeeandcreamery.com/blog/specterSend us your review!Support the showTHANK YOU FOR LISTENING!Please rate and review Denim-Wrapped Nightmares wherever you get your podcasts! Find social channels and more on our Linktree. Automated transcription and summary via Otter.ai.

On this episode, Pete and Julie welcome long-time HR technology industry executive and Partner at Acadian Ventures, Thomas Otter, to share his insights on where ‘hype meets truth' on the state and future of HR and payroll technology! Thomas shares his path from studying labor law and industrial relations to finding a career in HR technology and now fueling the future of HR tech as an investor.  Thomas provides insight into the Acadian Ventures investment thesis and lens, as well as why the firm is betting big on what he calls the “infrastructure era” of HR tech. He explains why AI is prompting the industry to reassess long-held assumptions and challenges the hype that often surrounds so-called ‘game-changing' innovations, as well as how unstructured data and conversational UIs are transforming our interactions with systems.  Thomas makes a compelling case for why HR leaders must understand their business at its core - starting by knowing their organization's “gold price.” Plus, advice on how HR buyers can cut through the noise to focus on what solutions actually deliver to solve problems and drive business outcomes! Connect with Thomas:  Acadian Ventures: https://www.acadianventures.com/ LI: https://www.linkedin.com/in/thomasotter/  SubStack: https://thomasotter.substack.com/ “Wedding cakes vs. Cupcakes” blog: https://www.unleash.ai/hr-technology/thomas-otter-on-the-wedding-cake-v-cupcake-of-hr-tech/ Connect with the show:    LinkedIn:  http://linkedin.com/company/hr-payroll-2-0  X: @HRPayroll2_0 @PeteTiliakos @JulieFer_HR BlueSky: @hrpayroll2o.bsky.social  YouTube: https://www.youtube.com/@HRPAYROLL2_0

Tonight, we'll read the first half to “The Otter Opal”, a Snoozecast original. The second half will air in the next episode. In this story, we shall meet two sea otters named Tumma and Nutsnm as they float above the kelp forest. The story is set along a coastline that feels quietly enchanted, where breaching whales appear like punctuation and the sea's rhythm gently matches the internal tide of thought. We begin, as Tumma does, suspended between waking and dreaming, wondering where the day might carry him. — read by 'V' — Sign up for Snoozecast+ to get expanded, ad-free access by going to snoozecast.com/plus! Learn more about your ad choices. Visit megaphone.fm/adchoices

My second interview with Garrett Scott, co-founder of Pipedream. Pipedream just announced their first Rapid Fulfillment Center, their new autonomous delivery robot Otter, and the introduction of Goods Grocery coming this fall.

"Ask questions. I always encourage people to ask me questions. If your question comes with good intentions, I'm not going to be mad at you for it! I'm not going to fault you for that. You just simply don't know." Sofia Camacho is officially one to watch on the NYC running scene. The transgender nonbinary elite runner holds a 2:29:14 marathon personal best, won the nonbinary division at the 2024 New York City Marathon, and, this past weekend, broke the tape at the Bandit Grand Prix. By day, Sofia is a tattoo artist and coach at Mile High Run Club. And by night: Meet Xana Whoria.  FOLLOW SOFIA @sof_camacho SPONSORS:  Shokz: Use code ALI for $10 off your next purchase. Code valid in the U.S. and Canada. Lagoon: Click here to take Lagoon's 2-minute sleep quiz to see which pillow is right for you. (I'm an Otter!) Use code ALI at checkout for 15% off your next Lagoon order. Oofos: The best in recovery footwear! Check out Oofos's 2025 Project Pink collection, where 10% of every purchase is donated to cancer research.  In this episode: All about Sofia's win at the Bandit Grand Prix (4:35) What Sofia's racing for these days (9:35) All about Young Sofia and her childhood (12:45) Why Sofia started running during her junior year of high school in France (17:30) TW: Sofia's experience as a sexual abuse victim (22:15) What it was like running cross country at Columbia University (34:45) Sofia's plan for life after college and collegiate running (40:00) Sofia's take on “grown-up” races (45:55) What Sofia needs or wants to see within the running community (59:00) All about Xana Whoria, Sofia's drag persona (1:03:10) What's next on the run for Sofia? (1:15:30) Follow Ali: Instagram @aliontherun1 Join the Facebook group Support on Patreon Subscribe to the newsletter SUPPORT the Ali on the Run Show! If you're enjoying the show, please subscribe and leave a rating and review on Apple Podcasts. Spread the run love. And if you liked this episode, share it with your friends!  

Buckle up for a marketing revolution!

Our guest in this episode is Mike Wittenstein, the founder of Storyminers and a brilliant strategist who helps leaders become true architects of their future. Mike masterfully blends the art of deep listening with the science of new technology to forge innovative paths forward. In our fascinating conversation, he explains how we can use AI as a powerful co-pilot, not to diminish our humanity, but to amplify our strategic thinking and create even deeper connections.Key points discussed include:* Use AI to handle analysis, freeing you for genuine, heart-to-heart conversations with clients and colleagues.* Your greatest differentiator in the age of AI is simply becoming more authentically you through deeper self-knowledge.* Turn AI into your personal coach to mindfully track your evolution and accelerate your personal and professional 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 Mike Wittenstein, StoryminersIt was a genuine pleasure to welcome Mike Wittenstein, the founder of Storyminers, back to the Innovabuzz podcast. So much has happened in the world since our last conversation in episode 532. Back then, we explored how powerful stories grow from deep listening, which feels like the perfect foundation for what we discussed this time: how to apply that same human-centered philosophy in the rapidly expanding world of AI.Mike is approaching this new technological wave not as a simple tool for productivity, but as a way to fundamentally improve the creative and strategic work that leaders do. He shared his belief that in a world changing so quickly, executives can no longer get by on just setting new target numbers. They must become true "architects," as he puts it, who can clearly define and envision the future. It's a call to elevate our thinking, and he's using AI to help chart the course.The Grand Experiment: An End-to-End Consulting Journey with an AI Co-pilotMike recently put this philosophy to the ultimate test by running an entire consulting engagement, from the very first client meeting to the final deliverables, using ChatGPT Pro as his partner. He kicked things off with a crucial step: complete transparency. He informed his client that he would be using the tool extensively but also promised that his own expertise and experience would touch every single word of the final output, ensuring accountability and quality.The results of this experiment were remarkable. The AI became the project's perfect "collector of all the information," creating an infallible memory that got smarter and more fine-tuned with every interaction. This new process allowed him and his client to accomplish five full iterations of their strategy in the same amount of calendar time it would normally take to do just one. More than the efficiency, Mike noted he had much higher confidence in the work because he essentially had "hundreds of co-thinkers" contributing to the process.The "Eye to Eye, Heart to Heart" Conversation, Amplified by AIPerhaps the most compelling outcome was a beautiful paradox: using a machine for the analytical heavy lifting actually paved the way for deeper human connection. Mike described how he could feed conversation transcripts to his AI and ask it to extract to-dos, pinpoint moments where someone had a change of heart, or highlight key themes. This freed him from the burden of being a constant, meticulous note-taker during meetings.By offloading that task, he could be fully present with his client, engaging in the kind of "honest eye to eye, heart to heart conversation" that is so often lost in the shuffle of agendas and action items. It's a powerful testament to how technology, when used thoughtfully, can remove distractions and allow us to focus on the genuine dialogue where the most profound strategic insights are born.The AI Toolkit: Genius Hacks for Traffic Jams, Doctor's Visits, and MeetingsMike is a fountain of practical, real-world applications for AI that go far beyond writing emails. He shared a brilliant hack involving the "Hey, Otter" voice command during meetings. By saying the trigger phrase followed by an instruction, like "soften this language," he could embed prompts directly into the live transcript, creating a ready-made to-do list that saved him hours of searching later.His personal use cases were just as inspiring, demonstrating the sheer versatility of these tools. He turns traffic jams into productive language lessons, practicing his Portuguese with AI coaching him on pronunciation. When he was unwell with pneumonia, he logged all his symptoms and meals, then had the AI generate a concise, one-page brief for the ER doctor, leading to clearer communication and better care.In a Sea of Sameness, Why the Human Element is Your Most Valuable AssetWe also waded into the deeper, more philosophical waters of our AI-driven world. I had made the point that these tools are fed by human knowledge, but Mike offered a gentle and important course correction. He reminded me of the colossal volumes of non-human data being generated daily, from weather patterns to train schedules, meaning the purely human voice is becoming a smaller part of the whole.This led him to a profound conclusion: as our digital lives become noisier and more automated, the authentic human element will become our most cherished and valuable asset. He believes it is our shared responsibility to consciously "put people first" in how we design and use these systems. That mindful distinction, he argues, will set a pattern for others to follow.Your Ultimate Differentiator: Using AI to Simply Become More YouWhen I asked Mike how people can differentiate themselves in an age where everyone has access to AI, his answer was refreshingly simple. It is not about mastering a new technical skill; it is about knowing yourself better and being "more you." The more authentic you can be in your voice, your intent, and your thinking, the more you will naturally stand out.He offered a wonderful reframe, suggesting we use AI not just for output, but for introspection. You can turn it into a personal coach. By telling it what you are working on, whether it is improving your turn-taking in conversations or being a more empathetic leader, you can ask it for feedback on your own progress. It becomes an accountability partner, using your own metrics to help you grow.Your Action Plan: Prompting Your Own Personal EvolutionThis brings us to the core of our conversation. AI can be more than a research assistant or a content creator; it can be a co-thinker, a coach, and a catalyst for our own development. It is a tool that can help us become better, more mindful versions of ourselves.Mike left us with a clear and inspiring call to action. Take a moment to think about your own journey of growth. What are you trying to learn? What path are you on to evolve and become a better you? Once you have that clarity, open your favorite AI tool and start a conversation about it. Ask it to create reminders and help you check in on your progress, and you will be surprised at how it can accelerate your journey.In Summary: My conversation with Mike Wittenstein was a masterclass in how to approach AI with curiosity, intention, and a deep-seated commitment to human connection. His message is that the true power of this technology lies not in its ability to replace us, but in its potential to amplify our best human qualities: our creativity, our strategic thinking, and our capacity for growth.The Buzz - Our Innovation RoundHere are Mike'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 – Using the role-playing tool Yoodli to enhance confidence and build crucial communication skills in a safe, risk-free environment.* Best thing to integrate AI and human connection – Creating a personal brand voice template that ensures your authentic personality and humor shines through in all AI-assisted writing.* Differentiate by leveraging AI – Focus on becoming more authentically yourself and use AI as a personal coach to guide and track that journey of growth.ActionTake a moment to think about the path you are on to become a better, more evolved version of yourself. Write down what you are learning, and then ask your favorite AI tool to create prompts and reminders that will help you mindfully check your progress over time.Reach OutYou can reach out and thank Mike on LinkedIn under his name, Mike Wittenstein, or find him online through his company website.Links* Website – Storyminers* LinkedIn* Twitter – @mikewittenstein* Facebook* Youtube Channel – StoryminersCool Things About Mike* He uses the folksy and memorable adage, "You can't teach a pig to sing... it doesn't work and pisses off the pig." This piece of unexpected, down-to-earth wisdom reveals a humorous, practical side that cuts through the corporate jargon. It's a phrase you don't forget.* He champions bringing a live sketch artist into high-level business strategy sessions. In an era dominated by digital presentations, this dedication to an analog, creative, and deeply human tool is refreshingly unconventional. It shows a commitment to multi-sensory communication that is both cool and highly effective.* His company, Storyminers, has a classic entrepreneurial origin story. He and a friend were in a Starbucks, saw a dramatic headline about mass layoffs in their field, and instead of seeing a crisis, they saw an opportunity and immediately launched their business, successfully landing their first six prospects.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. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit innovabiz.substack.com/subscribe

OnBoard! 今年第一场直播回放来啦！我们跨洋连线硅谷资深增长顾问陈畅，2个多小时的访谈，探讨了关于AI应用出海增长的各种干货，直播间饱爆满好评如潮，我们经过整理放出精修音频，绝对值得你反复听几遍！Hello World, who is OnBoard!?今年真是AI应用爆发的大年！诞生不到26个月的ChatGPT 月活已超过8亿，OpenAI 和Anthropic ARR 分别超过100亿美金和50亿美金，Cursor, Lovable, Manus, Genspark 等 AI 应用的用户数和收入增长不断刷新纪录。越来越多的AI应用创业者涌入赛场，如何做增长，就成了最经常被谈论的话题。尤其是对于广大打造出海应用的中国创业者，更是希望听到来自硅谷最一线的经验。Chang 是增长顾问公司Hockey Stick Growth创始人。过去8年里，她服务过的很多客户不仅获得了顶尖VC投资，更是实现了扎实的用户和收入的跃升。这个名单，一定有不少你熟知的公司：HeyGen, Gamma, Otter.ai, 还有最近大火的语音模型公司 Cartesia, 成立不到2年，融资超过$90M, 上千万美金收入……在两个多小时的对话里，Chang非常坦诚地分享了他在硅谷一线观察到的AI产品增长变化，以及那些成功案例背后的真实策略。比如：AI应用增长方式过去几年的变化从"AI化"到"去AI化"的品牌定位趋势背后发生了什么？面对越来越卷的增长渠道，AI产品如何找到突破口？那些"剑走偏锋"的增长策略到底值不值得尝试？KOL和各种渠道营销的具体方法论为什么要考虑 product-channel-fit...如果你正在做AI产品，或者对AI应用的增长策略感兴趣，这期来自硅谷一线的实战分享，绝对不容错过！听过直播的同学，也值得反复复习~Enjoy!嘉宾介绍Chang Chen（陈畅） – 硅谷增长顾问，Hockey Stick 增长顾问公司创始人；曾助力 HeyGen、Gamma、Otter.ai 等头部产品打造爆款增长闭环。OnBoard! 主持：Monica：美元VC投资人，前 AWS 硅谷团队+ AI 创业公司打工人，公众号M小姐研习录 (ID: MissMStudy) 主理人 | 即刻：莫妮卡同学OnBoard! 主持：GN：前SaaS及科技投资人，Global SaaS 社区 Linkloud 发起人，公众号我思锅我在 (ID: thinkxcloud) 主理人。| 即刻：High寧我们聊了什么02:59 Chang 自我介绍，最近看到的有意思的AI 产品和增长方式06:36 AI 应用增长方式的演变：从强调“AI”到回归“产品价值”的“去AI化”趋势。13:30 Go Viral 的底层逻辑：如何利用“猎奇、强大、共情”的用户心理策划病毒式传播？17:37 案例复盘：如何结合热点话题 (Elon Musk's Grok) 策划成功的营销活动？19:59 Product-Channel Fit：如何为产品的不同阶段和用户画像找到最合适的增长渠道？24:00 被低估的增长渠道：为什么 ToB 产品应该重视 LinkedIn？30:12 KOL 营销全攻略：如何识别、触达、并与高质量的 KOL 建立长期合作？41:49 从“爆款”到“体系”：当市场变卷，如何建立可持续的增长护城河？49:47 AI 产品如何收费？订阅制、Pay-as-you-go、混合模式的利弊分析。58:53 从 PLG 到 PLS/SLG：AI 公司如何抓住企业客户，何时应该拓展企业市场？01:10:59 Product-Market Fit 是一个动态过程，出海创业者如何更好地找到它？01:16:24 AI 如何赋能增长团队？从内容生成到渠道拓展的最佳实践和误区。01:20:20 LLM-Native 新渠道：如何在 ChatGPT 和 GPT Store 中获取流量？01:24:07 Product Hunt 打榜还值得做吗？效果、用户质量和平台公信力的变化。01:27:06 从0到1搭建增长团队：创始人何时应该招聘第一个全职增长负责人？01:32:28 推荐的增长信息渠道：Twitter, LinkedIn 和线下分享。01:33:00 未来展望：AI Agent 赛道有哪些“卖铲子”的机会？我们提到的公司和概念HeyGen - AI视频生成领军企业Gamma - AI PPT生成先驱，不到30人团队超过5000万美金ARRCartesia - 语音模型公司，成立不到两年融资超过9000万美金Otter.ai - 会议转录和AI助手，超过1亿美金ARRCluely - "AI agent to cheat on everything"争议性定位Eleven Labs - 语音合成领域头部公司Apollo - 销售线索工具Synthesia - AI 虚拟人生成工具PLG (Product-Led Growth) - 产品驱动增长SLG (Sales-Led Growth) - 销售驱动增长ICP (Ideal Customer Profile) - 理想用户画像PMF (Product Market Fit) - 产品市场契合度别忘了！同步关注两位 Host 的微信公众号，看更多干货内容哦：M小姐研习录 (ID: MissMStudy) by Monica我思锅我在 (ID: thinkxcloud) by GN欢迎在评论区留下你的思考，与听友们互动。喜欢 OnBoard! 的话，也可以点击打赏，请我们喝一杯咖啡！如果你用 Apple Podcasts 收听，也请给我们一个五星好评，这对我们非常重要。最后！快来加入Onboard！听友群，结识到高质量的听友们，我们还会组织线下主题聚会，开放实时旁听播客录制，嘉宾互动等新的尝试。添加任意一位小助手微信，onboard666, 或者 Nine_tunes,小助手会拉你进群。期待你来！

ROI Podcast™ hosted by Law Smith @LawSmithWorks and Eric Readinger! ROI is... Revenue Optimization Initiative? Results Oriented Innovation? Return On Investment? Who knows? ROI Podcast™! the #1 business/comedy podcast on earth! Entrepreneurship via guest interviews and generally chewing the comedy cud... Here's the episode description no LLM or LLAMA can create   Ever wondered how Nathan Fielder blends absurd comedy with serious business lessons? In ROI Podcast™ episode 488, Law Smith (@LawSmithWorks) and Eric Readinger break down Nathan's bizarre brilliance from "The Rehearsal," exploring why comedy often tells truths traditional methods can't. Dive into unique strategies of marketing through comedy, leveraging authentic connections, and unconventional problem-solving that'll make your business (and your brain) thrive. Also, comedy business strategy, authentic marketing, creative entrepreneurship, business podcast, comedy lessons, unconventional marketing, Andy Kaufman, Jackass comedy, ROI Podcast, marketing insights, business humor, comedic genius, and avoiding burnout.   Chapters cover: Nathan Fielder's comedic genius Why authenticity beats traditional marketing Lessons from "The Rehearsal" on communication and business Andy Kaufman-level dedication to the bit   Hit subscribe for more comedy-infused business insights—ROI Podcast-style.   #NathanFielder #BusinessComedy #CreativeMarketing #Entrepreneurship #Authenticity #ComedyPodcast #ROIshow #MarketingStrategy #BusinessInsights #TheRehearsal #FunnyPodcast #ComedyBusiness #ComedyLessons     Episode sponsored by @ZUPYAK  https://www.Zupyak.com → promo code → SWEAT @Flodesk -50% off https://flodesk.com/c/AL83FF @Incogni remove you personal data from public websites 50% off https://get.incogni.io/SH3ve @SQUARESPACE website builder → https://squarespacecircleus.pxf.io/sweatequity @CALL RAIL call tracking → https://bit.ly/sweatequitycallrail @LINKEDIN PREMIUM - 2 months free! → https://bit.ly/sweatequity-linkedin-premium @OTTER.ai → https://otter.ai/referrals/AVPIT85N     Hosts' Eric Readinger & Law Smith

"In life and in marathons, whoever can overcome those challenges the best — it's not about not having challenges, because you are going to have them — it's about responding to them, being resilient, learning from them, inspiring other people, and sharing that with others." Jordan Hasay competed at her first Olympic Trials when she was in high school. After graduating, she attended the University of Oregon, where she became an 18-time All American. She immediately signed with Nike to kick off her professional track career. When Jordan transitioned to marathoning, she had immediate success, debuting at the 2017 Boston Marathon where she finished third and broke the record for the fastest marathon debut by an American woman (2:23). That fall, Jordan raced the Chicago Marathon, where she again finished third, running 2:20:57. Now, life looks a little for Jordan — now Jordan Hogan — and her husband, Ryan. They are the founders of Hogan Performance, and Jordan is finding new joy in this chapter of life as a coach. She's also 35 weeks pregnant with their first child! In this conversation, Jordan talks about pregnancy expectations vs. reality, and about whether or not she hopes to someday return to competing.  SPONSORS:  Boulderthon: Join me in Boulder, CO, on September 28, 2025! Click here to register for the marathon, half marathon, 10K, 5K, and kids run, and use code ALI for $20 off your marathon or half registration.  Lagoon: Click here to take Lagoon's 2-minute sleep quiz to see which pillow is right for you. (I'm an Otter!) Use code ALI at checkout for 15% off your next Lagoon order. In this episode: How Jordan is feeling at 34 weeks pregnant (4:55) How Jordan met her now-husband, Ryan Hogan (16:00) All about Hogan Performance, the transition away from professional running, and why Jordan loves coaching (28:50) On staying connected to the sport after competing professionally (41:00) What Jordan remembers most about training for her first marathon, the 2017 Boston Marathon, where she finished third (44:00) How Jordan reflects on her marathon experiences and how they have shaped her beyond the roads (48:25) On competing at the Olympic Trials while in high school (53:10) Jordan's pro running highlight reel (55:50) On returning to professional running (59:00) Follow Ali: Instagram @aliontherun1 Join the Facebook group Support on Patreon Subscribe to the newsletter SUPPORT the Ali on the Run Show! If you're enjoying the show, please subscribe and leave a rating and review on Apple Podcasts. Spread the run love. And if you liked this episode, share it with your friends!

Common Man Hour 1 --Order From Amazon --Otter Box --45 Thoughts on Vikings Offense --Twins Lose AgainSee omnystudio.com/listener for privacy information.

Common Man Hour 1 --Order From Amazon --Otter Box --45 Thoughts on Vikings Offense --Twins Lose Again

Common Man Hour 1 --Order From Amazon --Otter Box --45 Thoughts on Vikings Offense --Twins Lose AgainSee omnystudio.com/listener for privacy information.

Last Summer, MGL shared a very exciting secret with me. A year on, it is with no small amount of delight that I can now finally cease my silence! In Maya's words:“I have written a book about Portly the Otter, son of Otter from The Wind in the Willows. It is modelled on Kenneth Grahame's original, as a series of riverbank stories, and features characters we all know and love, as well as introducing you to some new ones. The book is called The Adventures of Portly the Otter - Untold Tales from The Wind in the Willows and will answer a mystery I wondered about a lot as a child, which is - what really happened to Portly for him to be missing for so long, and end up - discovered by Ratty and Moley,- curled up between the cloven hooves of the god Pan? The book is illustrated by the fabulous Polly Dunbar and will be printed as a four colour hardback gift book in March 2026 by Farshore. I cannot tell you what a joy it has been to revisit the riverbank and spend time with the much beloved Ratty, Moley, Badger, and of course the mischievous Mr Toad, but the biggest delight of all has been spending a year researching and learning about otters.” Hosted on Acast. See acast.com/privacy for more information.

"I'm laser focused. This is serious." She's the 2018 Boston Marathon champion. She's the co-host of Nobody Asked Us with Des and Kara. She's one of the most admired, most accomplished, and most respected distance runners of our time, and now, Des is taking it to the trails. After running her final professional marathon in Boston in April, Des's next big adventure will be pacing friend Joe McConaughy at the Western States Endurance Run in just a few weeks. In this conversation, Des talks about what her pacing duties will entail, what training camp was like, and what's exciting her right now.  SPONSOR:  Shokz: Use code ALI for $10 off your next purchase. Code valid in the U.S. and Canada. Lagoon: Click here to take Lagoon's 2-minute sleep quiz to see which pillow is right for you. (I'm an Otter!) Use code ALI at checkout for 15% off your next Lagoon order. In this episode: What life has been like since the 2025 Boston Marathon — Des's final professional marathon (2:25) Will we see Des at the big fall marathons? (5:30) Des's parting thoughts on the 2025 Boston Marathon (7:25) Des's introduction to all things Western States (16:25) The WSER pacing plan (21:15) Which races are on Des's radar now (25:45) How Des sees her role in the trail running community (27:00) Des's pacing resumé (29:20) How much do you know about what that day pacing will look like? (35:35) What Des is looking forward to most about Western States (41:15) The athletes Des admires in the trail world (43:40) The road racing athletes Des thinks we should all be watching (47:25) Some of the key takeaways from Des and Kara Goucher's Save the 10,000 event — including 1,800 people participating in the virtual event (51:10) Follow Ali: Instagram @aliontherun1 Join the Facebook group Support on Patreon Subscribe to the newsletter SUPPORT the Ali on the Run Show! If you're enjoying the show, please subscribe and leave a rating and review on Apple Podcasts. Spread the run love. And if you liked this episode, share it with your friends!