Podcasts about Scenario

Join Jim and Sheeny This week as they stop Gambling go through a poster create a massacre ask who is hotter Jessie or James and what is a Porygon? In this weeks episode of How Not To Summon A Scenario, Pokémon Series, Firefighter Oak Pallet Town FD.   Join The Summoning Boys : On YouTube - www.youtube.com/@hownottosummonapodcast On our Facebook page- www.facebook.com/HowNotToSummon On Discord - https://discord.gg/bzw9pWWU On Twitter- www.twitter.com/HowNotToSummon

Our insured, a widow with two adult kids, dies in a house fire. Her son, who planned to move out soon, escapes unharmed. Her daughter, who lives out of state but stores a drum set in the basement, is the executrix and returns home to handle next steps and insurance.   Notable Timestamps [ 01:00 ] - The son planned to move into his girlfriend's apartment by the end of the month [ 02:00 ] - The death clause in the HO3 form is explained as a critical provision ensuring the dwelling remains covered after the named insured's death until the estate can be settled.  [ 03:00 ] - The policy language of the death clause states that the legal representative of the deceased is insured for the premises and property.  [ 04:00 ] - A legal representative is typically the judicially appointed executor or administrator, not just an heir. [ 05:00 ] - Courts have generally held that the death clause overrides the personal property of others clause, which would likely preclude coverage for the daughter's drum set as she was not a resident insured at the time of the fire.  [ 06:00 ] - The son, who was living in the house at the time of the fire, is covered for his personal property, though he cannot make a claim for the dwelling itself.  [ 08:00 ] - The son's ALE coverage would cease if he moves in with his girlfriend, and the daughter is not entitled to ALE because she was not a member of the household at the time of the named insured's death.  [ 09:00 ] - The difference in ALE coverage for the son and daughter reflects the insurance policy's goal to maintain the pre-loss situation, covering the resident son but not the non-resident daughter.  [ 10:00 ] - Coverage under the death clause is intended as a temporary measure providing peace of mind to the family while they settle affairs, and it ends once the estate is settled.  [ 11:00 ] - If the legal representative deeds the house to themselves after the named insured's death but before a loss, coverage under the original policy terminates because the insurance follows the named insured's personal interest, not just the property.  [ 12:00 ] - Once the property is deeded to new owners (even family members), they must obtain their own insurance for coverage.  [ 13:00 ] - John provides a recap of the scenario and the points above. Your PLRB Resources Annotation on the Death Clause - https://www.plrb.org/documents/death-ho120/?search=death Coverage Question: “Does the Death Clause Prevent the Insurer From Cancelling the Policy?” - https://www.plrb.org/documents/does-the-death-clause-prevent-the-insurer-from-cancelling-the-policy-pcq-2019-11-19-twh-a/?search=death%20clause Case Law Review: “Insurable Interest Lost When Executor Transferred Property To Self” - https://www.plrb.org/documents/archer-v-cotton-states-mutual-ins-co-2010/ Employees of member companies also have access to a searchable legal database, hundreds of hours of video trainings, building code materials, weather data, and even the ability to have your coverage questions answered by our team of attorneys (https://www.plrb.org/ask-plrb/) at no additional charge to you or your company. Subscribe to this Podcast Your Podcast App - Please subscribe and rate us on your favorite podcast app YouTube - Please like and subscribe at @plrb LinkedIN - Please follow at “Property and Liability Resource Bureau” Send us your Scenario! Please reach out to us at 630-509-8704 with your scenario! This could be your “adjuster story” sharing a situation from your claims experience, or a burning question you would like the team to answer. In any case, please omit any personal information as we will anonymize your story before we share. Just reach out to scenario@plrb.org.  Legal Information The views and opinions expressed in this resource are those of the individual speaker and not necessarily those of the Property & Liability Resource Bureau (PLRB), its membership, or any organization with which the presenter is employed or affiliated. The information, ideas, and opinions are presented as information only and not as legal advice or offers of representation. Individual policy language and state laws vary, and listeners should rely on guidance from their companies and counsel as appropriate. Music: “Piece of Future” by Keyframe_Audio. Pixabay. Pixabay License. Font: Metropolis by Chris Simpson. SIL OFL 1.1. Icons: FontAwesome (SIL OFL 1.1) and Noun Project (royalty-free licenses purchased via subscription). Sound Effects: Pixabay (Pixabay License) and Freesound.org (CC0).

durée : 00:20:56 - L'interview de 9h20 - par : Léa Salamé - L'actrice américaine Jodie Foster et la réalisatrice Rebecca Zlotowski sont au micro de Léa Salamé à l'occasion de la présentation de "Vie privée" au 78ème festival de Cannes. Le film sortira en salle le 26 novembre prochain. - invités : Rebecca Zlotowski, Jodie FOSTER - Rebecca Zlotowski : Réalisatrice, Jodie Foster : Comédienne

durée : 00:20:56 - L'interview de 9h20 - par : Léa Salamé - L'actrice américaine Jodie Foster et la réalisatrice Rebecca Zlotowski sont au micro de Léa Salamé à l'occasion de la présentation de "Vie privée" au 78ème festival de Cannes. Le film sortira en salle le 26 novembre prochain. - invités : Rebecca Zlotowski, Jodie FOSTER - Rebecca Zlotowski : Réalisatrice, Jodie Foster : Comédienne

เพราะชีวิตเต็มไปด้วยความไม่แน่นอนและเปลี่ยนแปรตามความเป็นไปได้ การเตรียมพร้อมสำหรับอนาคตจึงเป็นเรื่องสำคัญที่เราควรฝึกฝนไว้ . โดยพอดแคสต์ Good Night ในค่ำคืนนี้ จะพาทุกคนไปรู้จักกับ Scenario Analysis ตัวช่วยให้เราเห็นภาพอนาคตและปัญหาได้ชัดเจนขึ้น รวมถึงผลที่จะเกิดขึ้นในอนาคตแต่ละแบบเพื่อให้เรา ‘เผื่อใจ' และ ‘พร้อม' เผชิญสิ่งที่รออยู่ . #missiontothemoon #missiontothemoonpodcast #ฟังก่อนนอน

Big O talks Tyreek Hill & Miami Dolphins 051625

If the Browns are going through a difficult stretch to the end 2025 season, is that the best situation to evaluate a quarterback?

If you'd like to get these episodes early AND ad-free, please go to https://www.patreon.com/unspoiled and become a patron, or just follow us as a free member for updates!Thank you very much to Michael for commissioning this episode! It's delightful to be back in this world, and I cannot wait to see what new things are in store. These chapters have Carl and Donut choosing their races and classes, all while keeping secret that they've made a deal to trick Mordecai. Which I hate. Thanks so much to you all for listening, and I will see you soon with a new episode! Wanna talk spoilers? Join the Discord! https://discord.gg/rEF2KfZxfV 

In hour two, Mike and Abe discuss how the Bengals are handling their defensive start Trey Hendrickson

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the crucial difference between ‘no-code AI solutions’ and ‘no work’ when using AI tools. You’ll grasp why seeking easy no-code solutions often leads to mediocre AI outcomes. You’ll learn the vital role critical thinking plays in getting powerful results from generative AI. You’ll discover actionable techniques, like using frameworks and better questions, to guide AI. You’ll understand how investing thought upfront transforms AI from a simple tool into a strategic partner. Watch the full episode to elevate your AI strategy! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-no-code-ai-tools-sdlc.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, I have a bone to pick with a lot of people in marketing around AI and AI tools. And my bone to pick is this, Katie. There isn’t a day that goes by either in Slack or mostly on LinkedIn when some person is saying, “Oh, we need a no code tool for this.” “How do I use AI in a no code tool to evaluate real estate proposals?” And the thing is, when I read what they’re trying to do, they seem to have this idea that no code equals no work. That it’s somehow magically just going to do the thing. And I can understand the past tense aversion to coding because it’s a very difficult thing to do. Christopher S. Penn – 00:49 But in today’s world with generative AI, coding is as straightforward as not coding in terms of the ability to make stuff. Because generative AI can do both, and they both have very strong prerequisites, which is you gotta think things through. It’s not no work. Neither case is it no work. Have you seen this also on the various places we hang out? Katie Robbert – 01:15 Well, first, welcome to the club. How well do your ranty pants fit? Because that’s what you are wearing today. Maybe you’re in the ranty shirt club. I don’t know. It’s… I think we were talking about this last week because I was asking—and I wasn’t asking from a ‘I don’t want to do the work’ standpoint, but I was asking from a ‘I’m not a coder, I don’t want to deal with code, but I’m willing to do the work’ standpoint. And you showed me a system like Google Colab that you can go into, you can tell it what you want to do, and you can watch it build the code. It can either keep it within the system or you can copy the code and put it elsewhere. And that’s true of pretty much any generative AI system. Katie Robbert – 02:04 You can say, “I want you to build code for me to be able to do X.” Now, the reason, at least from my standpoint, why people don’t want to do the code is because they don’t know what the code says or what it’s supposed to do. Therefore, they’re like, “Let me just avoid that altogether because I don’t know if it’s going to be right.” The stuff that they’re missing—and this is something that I said on the Doodle webinar that I did with Andy Crestodina: we forget that AI is there to do the work for us. So let the AI not only build the code, but check the code, make sure the code works, and build the requirements for the code. Say, “I want to do this thing.” “What do you, the machine, need to know about building the code?” Katie Robbert – 02:53 So you’re doing the work to build the code, but you’re not actually coding. And so I think—listen, we’re humans, we’re lazy. We want things that are plug and play. I just want to press the go button, the easy button, the old Staples button. I want to press the easy button and make it happen. I don’t want to have to think about coding or configuration or setup or anything. I just want to make it work. I just want to push the button on the blender and have a smoothie. I don’t want to think about the ingredients that go into it. I don’t want to even find a cup. I’m going to drink it straight from the blender. Katie Robbert – 03:28 I think, at least the way that I interpret it, when people say they want the no code version, they’re hoping for that kind of easy path of least resistance. But no code doesn’t mean no work. Christopher S. Penn – 03:44 Yeah. And my worry and concern is that things like the software development lifecycle exist for a reason. And the reason is so that things aren’t a flaming, huge mess. I did see one pundit quip on Threads not too long ago that generative AI may as well be called the Tactical Debt Generator because you have a bunch of people making stuff that they don’t know how to maintain and that they don’t understand. For example, when you are using it to write code, as we’ve talked about in the past, very few people ever think, “Is my code secure?” And as a result, there are a number of threads and tweets and stuff saying, “One day I coded this app in one afternoon.” Christopher S. Penn – 04:26 And then, two days later, “Hey guys, why are all these people breaking into my app?” Katie Robbert – 04:33 It’s— No, it’s true. Yeah, they don’t. It’s a very short-sighted way of approaching it. I mean, think about even all the custom models that we’ve built for various reasons. Katie GPT—when was the last time her system instructions were updated? Even Katie Artifact that I use in Claude all the time—when was the last time her… Just because I use it all the time doesn’t mean that she’s up to date. She’s a little bit outdated. And she’s tired, and she needs a vacation, and she needs a refresh. It’s software. These custom models that you’re building are software. Even if there’s no, quote unquote, “code” that you can see that you have built, there is code behind it that the systems are using that you need to maintain and figure out. Katie Robbert – 05:23 “How do I get this to work long term?” Not just “It solves my problem today, and when I use it tomorrow, it’s not doing what I need it to do.” Christopher S. Penn – 05:33 Yep. The other thing that I see people doing so wrong with generative AI—code, no code, whatever—is they don’t think to ask it thinking questions. I saw this—I was commenting on one of Marcus Sheridan’s posts earlier today—and I said that we live in an environment where if you want to be really good at generative AI, be a good manager. Provide your employee—the AI—with all the materials that it needs to be set up for success. Documentation, background information, a process, your expected outcomes, your timelines, your deliverables, all that stuff. If you give that to an employee with good delegation, the employee will succeed. If you say, “Employee, go do the thing.” And then you walk off to the coffee maker like I did in your job interview 10 years ago. Katie Robbert – 06:26 If you haven’t heard it, we’ll get back to it at some point. Christopher S. Penn – 06:30 That’s not gonna set you up for success. When I say thinking questions, here’s a prompt that anybody can use for pretty much anything that will dramatically improve your generative AI outputs. Once you’ve positioned a problem like, “Hey, I need to make something that does this,” or “I need to fix this thing,” or “Why is this leaking?”… You would say, “Think through 5 to 7 plausible solutions for this problem.” “Rank them in order of practicality or flexibility or robustness, and then narrow down your solution.” “Set to one or two solutions, and then ask me to choose one”—which is a much better process than saying, “What’s the answer?” Or “Fix my problem.” Because we want these machines to think. And if you’re saying—when people equate no code with no think and no work— Yes, to your point. Christopher S. Penn – 07:28 Exactly what you said on the Doodle webinar. “Make the machine do the work.” But you have to think through, “How do I get it to think about the work?” Katie Robbert – 07:38 One of the examples that we were going through on that same webinar that we did—myself and Andy Crestodina—is he was giving very basic prompts to create personas. And unsurprisingly… And he acknowledged this; he was getting generic persona metrics back. And we talked through—it’s good enough to get you started, but if you’re using these very basic prompts to get personas to stand in as your audience, your content marketing is also going to be fairly basic. And so, went more in depth: “Give me strong opinions on mediocre things,” which actually turned out really funny. Katie Robbert – 08:25 But what I liked about it was, sort of to your point, Chris, of the thinking questions, it gave a different set of responses that you could then go, “Huh, this is actually something that I could build my content marketing plan around for my audience.” This is a more interesting and engaging and slightly weird way of looking at it. But unless you do that thinking and unless you get creative with how you’re actually using these tools, you don’t have to code. But you can’t just say, “I work in the marketing industry. Who is my audience?” “And tell me five things that I should write about.” It’s going to be really bland; it’s going to be very vanilla. Which vanilla has its place in time, but it’s not in content marketing. Christopher S. Penn – 09:10 That’s true. Vanilla Ice, on the other hand. Katie Robbert – 09:14 Don’t get me started. Christopher S. Penn – 09:15 Collaborate and listen. Katie Robbert – 09:17 Words to live by. Christopher S. Penn – 09:20 Exactly. And I think that’s a really good way of approaching this. And it almost makes me think that there’s a lot of people who are saying, somewhat accurately, that AI is going to remove our critical thinking skills. We’re just going to stop thinking entirely. And I can see some people, to your point, taking the easy way out all the time, becoming… We talked about in last week’s podcast becoming codependent on generative AI. But I feel like the best thinkers will move their thinking one level up, which is saying, “Okay, how can I think about a better prompt or a better system or a better automation or a better workflow?” So they will still be thinking. You will still be thinking. You will just not be thinking about the low-level task, but you still have to think. Christopher S. Penn – 10:11 Whereas if you’re saying, “How can I get a no-code easy button for this thing?”… You’re not thinking. Katie Robbert – 10:18 I think—to overuse the word think— I think that’s where we’re going to start to see the innovation bell curve. We’re going to start to see people get over that curve of, “All right, I don’t want to code, that’s fine.” But can you think? But if you don’t want to code or think, you’re going to be stuck squarely at the bottom of the hill of that innovation curve. Because if you don’t want to code, it’s fine. I don’t want to code, I want nothing to do with it. That means that I have made my choice and I have to think. I have to get more creative and think more deeply about how I’m prompting, what kind of questions I’m asking, what kind of questions I want it to ask me versus I can build some code. Christopher S. Penn – 11:10 Exactly. And you’ve been experimenting with tools like N8N, for example, as automations for AI. So for that average person who is maybe okay thinking but not okay coding, how do they get started? And I’m going to guess that this is probably the answer. Katie Robbert – 11:28 It is exactly the answer. The 5Ps is a great place to start. The reason why is because it helps you organize your thoughts and find out where the gaps are in terms of the information that you do or don’t have. So in this instance, let’s say I don’t want to create code to do my content marketing, but I do want to come up with some interesting ideas. And me putting in the prompt “Come up with interesting ideas” isn’t good enough because I’m getting bland, vanilla things back. So first and foremost, what is the problem I am trying to solve? The problem I am trying to solve is not necessarily “I need new content ideas.” That is the medicine, if you will. The actual diagnosis is I need more audience, I need more awareness. Katie Robbert – 12:28 I need to solve the problem that nobody’s reading my content. So therefore, I either have the wrong audience or I have the wrong content strategy, or both. So it’s not “I need more interesting content.” That’s the solution. That’s the prescription that you get; the diagnosis is where you want to start with the Purpose. And that’s going to help you get to a better set of thinking when you get to the point of using the Platform—which is generative AI, your SEO tools, your market research, yada yada. So Purpose is “I need to get more audience, I need to get more awareness.” That is my goal. That is the problem I am trying to solve. People: I need to examine, do I have the right audience? Am I missing parts of my audience? Have I completely gone off the deep end? Katie Robbert – 13:17 And I’m trying to get everybody, and really that’s unrealistic. So that’s part of it. The Process. Well, I have to look at my market research. I have to look at my customer—my existing customer base—but also who’s engaging with me on social media, who’s subscribing to my email newsletters, and so on and so forth. So this is more than just “Give me interesting topics for my content marketing.” We’re really digging into what’s actually happening. And this is where that thinking comes into play—that critical thinking of, “Wow, if I really examine all of these things, put all of this information into generative AI, I’m likely going to get something much more compelling and on the nose.” Christopher S. Penn – 14:00 And again, it goes back to that thinking: If you know five people in your audience, you can turn on a screen recording, you can scroll through LinkedIn or the social network of your choice—even if they don’t allow data export—you just record your screen and scroll (not too fast) and then hand that to generative AI. Say, “Here’s a recording of the things that my top five people are talking about.” “What are they not thinking about that I could provide content on based on all the discussions?” So you go onto LinkedIn today, you scroll, you scroll, maybe you do 10 or 15 pages, have a machine tally up the different topics. I bet you it’s 82% AI, and you can say, “Well, what’s missing?” And that is the part that AI is exceptionally good at. Christopher S. Penn – 14:53 You and I, as humans, we are focused creatures. Our literal biology is based on focus. Machines are the opposite. Machines can’t focus. They see everything equally. We found this out a long time ago when scientists built a classifier to try to classify images of wolves versus dogs. It worked great in the lab. It did not work at all in production. And when they went back to try and figure out why, they determined that the machine was classifying on whether there was snow in the photo or not. Because all the wolf photos had snow. The machines did not understand focus. They just classified everything. So, which is a superpower we can use to say, “What did I forget?” “What isn’t in here?” “What’s missing?” You and I have a hard time that we can’t say, “I don’t know what’s missing”—it’s missing. Christopher S. Penn – 15:42 Whereas the machine could go, knowing the domain overall, “This is what your audience isn’t paying attention to.” But that’s not no thinking; that’s not no work. That’s a lot of work actually to put that together. But boy, will it give you better results. Katie Robbert – 15:57 Yeah. And so, gone are the days of being able to get by with… “Today you are a marketing analyst.” “You are going to look at my GA4 data, you are going to tell me what it says.” Yes, you can use that prompt, but you’re not going to get very far. You’re going to get the mediocre results based on that mediocre prompt. Now, if you’re just starting out, if today is Day 1, that prompt is fantastic because you are going to learn a lot very quickly. If today is Day 100 and you are still using that prompt, then you are not thinking. And what I mean by that is you are just complacent in getting those mediocre results back. That’s not a job for AI. Katie Robbert – 16:42 You don’t need AI to be doing whatever it is you’re doing with that basic prompt 100 days in. But if it’s Day 1, it’s great. You’re going to learn a lot. Christopher S. Penn – 16:52 I’m curious, what does the Day 100 prompt look like? Katie Robbert – 16:57 The Day 100 prompt could start with… “Today you are a marketing analyst.” “You are going to do the following thing.” It can start there; it doesn’t end there. So, let’s say you put that prompt in, let’s say it gives you back results, and you say, “Great, that’s not good enough.” “What am I missing?” “How about this?” “Here’s some additional information.” “Here’s some context.” “I forgot to give you this.” “I’m thinking about this.” “How do I get here?” And you just—it goes forward. So you can start there. It’s a good way to anchor, to ground yourself. But then it has to go beyond that. Christopher S. Penn – 17:36 Exactly. And we have a framework for that. Huge surprise. If you go to TrustInsights.ai/rappel, to Katie’s point: the role, the action (which is the overview), then you prime it. You should—you can and should—have a piece of text laying around of how you think, in this example, about analytics. Because, for example, experienced GA4 practitioners know that direct traffic—except for major brands—very rarely is people just typing in your web view address. Most often it’s because you forgot tracking code somewhere. And so knowing that information, providing that information helps the prompt. Of course, the evaluation—which is what Katie’s talking about—the conversation. Christopher S. Penn – 18:17 And then at the very end, the wrap-up where you say, “Based on everything that we’ve done today, come up with some system instructions that encapsulate the richness of our conversation and the final methodology that we got to the answers we actually wanted.” And then that prompt becomes reusable down the road so you don’t have to do it the same time and again. One of the things we teach now in our Generative AI Use Cases course, which I believe is at Trust Insights Use Cases course, is you can build deep research knowledge blocks. So you might say, “I’m a marketing analyst at a B2B consultancy.” “Our customers like people like this.” “I want you to build me a best practices guide for analyzing GA4 for me and my company and the kind of company that we are.” Christopher S. Penn – 19:09 “And I want to know what to do, what not to do, what things people miss often, and take some time to think.” And then you have probably between a 15- and 30-page piece of knowledge that the next time you do that prompt, you can absolutely say, “Hey, analyze my GA4.” “Here’s how we market. Here’s how we think about analytics. Here’s the best practices for GA4.” And those three documents probably total 30,000 words. And it’s at that point where it’s not… No, it is literally no code, and it’s not entirely no work, but you’ve done all the work up front. Katie Robbert – 19:52 The other thing that occurs to me that we should start including in our prompting is the three scenarios. So, basically, if you’re unfamiliar, I do a lot of work with scenario planning. And so, let’s say you’re talking about your budget. I usually do three versions of the budget so that I can sort of think through. Scenario one: everything is status quo; everything is just going to continue business as usual. Scenario two: we suddenly land a bunch of big clients, and we have a lot more revenue coming in. But with that, it’s not just that the top line is getting bigger. Katie Robbert – 20:33 Everything else—there’s a ripple effect to that. We’re going to have to staff up; we’re going to have to get more software, more server, whatever the thing is. So you have to plan for those. And then the third scenario that nobody likes to think about is: what happens if everything comes crashing down? What happens if we lose 75% of our clients? What happens if myself or Chris suddenly can’t perform our duties as co-founders, whatever it is? Those are scenarios that I always encourage people to plan for—whether it’s budget, your marketing plan, blah blah. You can ask generative AI. So if you spent all of this time giving generative AI data and context and knowledge blocks and the deep thinking, and it gives you a marketing plan or it gives you a strategy… Katie Robbert – 21:23 Take it that next step, do that even deeper thinking, and say, “Give me the three scenarios.” “What happens if I follow this plan?” “Exactly.” “What happens if you give me this plan and I don’t measure anything?” “What happens if I follow this plan and I don’t get any outcome?” There’s a bunch of different ways to think about it, but really challenge the system to think through its work, but also to give you that additional information because it may say, “You know what? This is a great thought process.” “I have more questions for you based on this.” “Let’s keep going.” Christopher S. Penn – 22:04 One of the magic questions that we use with generative AI—I use it all the time, particularly requirements gathering—is I’ll give it… Scenarios, situations, or whatever the case may be, and I’ll say… “The outcome I want is this.” “An analysis, a piece of code, requirements doc, whatever.” “Ask me one question at a time until you have enough information.” I did this yesterday building a piece of software in generative AI, and it was 22 questions in a row because it said, “I need to know this.” “What about this?” Same thing for scenario planning. Like, “Hey, I want to do a scenario plan for tariffs or a war between India and Pakistan, or generative AI taking away half of our customer base.” “That’s the scenario I want to plan for.” Christopher S. Penn – 22:52 “Ask me one question at a time.” Here’s—you give it all the knowledge blocks about your business and things. That question is magic. It is absolutely magic. But you have to be willing to work because you’re going to be there a while chatting, and you have to be able to think. Katie Robbert – 23:06 Yeah, it takes time. And very rarely at this point do I use generative AI in such a way that I’m not also providing data or background information. I’m not really just kind of winging it as a search engine. I’m using it in such a way that I’m providing a lot of background information and using generative AI as another version of me to help me think through something, even if it’s not a custom Katie model or whatever. I strongly feel the more data and context you give generative AI, the better the results are going to be. Versus—and we’ve done this test in a variety of different shows—if you just say, “Write me a blog post about the top five things to do in SEO in 2025,” and that’s all you give it, you’re going to get really crappy results back. Katie Robbert – 24:10 But if you load up the latest articles from the top experts and the Google algorithm user guides and developer notes and all sorts of stuff, you give all that and then say, “Great.” “Now break this down in simple language and help me write a blog post for the top five things that marketers need to do to rank in 2025.” You’re going to get a much more not only accurate but also engaging and helpful post because you’ve really done the deep thinking. Christopher S. Penn – 24:43 Exactly. And then once you’ve got the knowledge blocks codified and you’ve done the hard work—may not be coding, but it is definitely work and definitely thinking— You can then use a no-code system like N8N. Maybe you have an ICP. Maybe you have a knowledge block about SEO, maybe you have all the things, and you chain it all together and you say, “I want you to first generate five questions that we want answers to, and then I want you to take my ICP and ask the five follow-up questions.” “And I want you to take this knowledge and answer those 10 questions and write it to a disk file.” And you can then hit—you could probably rename it the easy button— Yes, but you could hit that, and it would spit out 5, 10, 15, 20 pieces of content. Christopher S. Penn – 25:25 But you have to do all the work and all the thinking up front. No code does not mean no work. Katie Robbert – 25:32 And again, that’s where I always go back to. A really great way to get started is the 5Ps. And you can give the Trust Insights 5P framework to your generative AI model and say, “This is how I want to organize my thoughts.” “Walk me through this framework and help me put my thoughts together.” And then at the end, say, “Give me an output of everything we’ve talked about in the 5Ps.” That then becomes a document that you then give back to a new chat and say, “Here’s what I want to do.” “Help me do the thing.” Christopher S. Penn – 26:06 Exactly. You can get a copy at Trust Insights AI 5P framework. Download the PDF and just drop that in. Say, “Help me reformat this.” Or even better, “Here’s the thing I want to do.” “Here’s the Trust Insights 5P framework.” “Ask me questions one at a time until you have enough information to fully fill out a 5P framework audit.” “For this idea I have.” A lot of work, but it’s a lot of work. If you do the work, the results are fantastic. Results are phenomenal, and that’s true of all of our frameworks. I mean, go on to TrustInsights.ai and look under the Insights section. We got a lot of frameworks on there. They’re all in PDF format. Download them from anything in the Instant Insights section. You don’t even need to fill out a form. You can just download the thing and start dropping it. Christopher S. Penn – 26:51 And we did this the other day with a measurement thing. I just took the SAINT framework right off of our site, dropped it in, said, “Make, fill this in, ask me questions for what’s missing.” And the output I got was fantastic. It was better than anything I’ve ever written myself, which is awkward because it’s my framework. Katie Robbert – 27:10 But. And this is gonna be awkwardly phrased, but you’re you. And what I mean by that is it’s hard to ask yourself questions and then answer those questions in an unbiased way. ‘Cause you’re like, “Huh, what do I want to eat today?” “I don’t know.” “I want to eat pizza.” “Well, you ate pizza yesterday.” “Should you be eating pizza today?” “Absolutely.” “I love pizza.” It’s not a helpful or productive conversation. And quite honestly, unless you’re like me and you just talk to yourself out loud all the time, people might think you’re a little bit silly. Christopher S. Penn – 27:46 That’s fair. Katie Robbert – 27:47 But you can. The reason I bring it up—and sort of… That was sort of a silly example. But the machine doesn’t care about you. The machine doesn’t have emotion. It’s going to ask you questions. It’s not going to care if it offends you or not. If it says, “Have you eaten today?” If you say, “Yeah, get off my back,” it’s like, “Okay, whatever.” It’s not going to give you attitude or sass back. And if you respond in such a way, it’s not going to be like, “Why are you taking attitude?” And it’s going to be like, “Okay, let’s move on to the next thing.” It’s a great way to get all of that information out without any sort of judgment or attitude, and just get the information where it needs to be. Christopher S. Penn – 28:31 Exactly. You can also, in your digital twin that you’ve made of yourself, you can adjust its personality at times and say, “Be more skeptical.” “Challenge me.” “Be critical of me.” And to your point, it’s a machine. It will do that. Christopher S. Penn – 28:47 So wrapping up: asking for no-code solutions is fine as long as you understand that it is not no work. In fact, it is a lot of work. But if you do it properly, it’s a lot of work the first time, and then subsequent runs of that task, like everything in the SDLC, get much easier. And the more time and effort you invest up front, the better your life is going to be downstream. Katie Robbert – 29:17 It’s true. Christopher S. Penn – 29:18 If you’ve got some thoughts about no-code solutions, about how you’re using generative AI, how you’re getting it to challenge you and get you to do the work and the thinking, and you want to share them, pop by our free Slack group. Go to TrustInsights.ai/analyticsformarketers where you and over 4,200 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 Trust Insights AI TI Podcast. You can find us at all the places fine podcasts are served. Thanks for tuning in. I’ll talk to you on the next one. Speaker 3 – 29:57 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. Speaker 3 – 30:50 Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or Data 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 is adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Speaker 3 – 31:55 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.

Why do your team members shy away from asking for referrals? It's not just about the scripts! Join me as I unpack the science behind referrals and share strategies to make the process feel natural and effective. We explore why traditional asking methods often fail and how to shift your approach. Say goodbye to uncomfortable asks and hello to authentic connections! Resources and links mentioned in this episode can be found on the show notes page at http://www.staceybrownrandall.com/361

Join Jim and Sheeny this week as they carry on their journey through Kanto region as they stop at a super market, break a Gym leader and go crazy on slots. As they ask the question who fills the vending machine? in this weeks episode of How Not To Summon A Scenario-Pokémon Series -The Leaf Gym Massacre.   Join The Summoning Boys : On YouTube - www.youtube.com/@hownottosummonapodcast On our Facebook page- www.facebook.com/HowNotToSummon On Discord - https://discord.gg/MsaH4b5jb6 On Twitter- www.twitter.com/HowNotToSummon  

A windstorm-caused power outage at the Cheesecake Manufactory led to the spoilage of hundreds of cheesecakes and a business income loss. The adjuster is questioning if the windstorm deductible applies to the claim, despite the power outage being the direct cause of the spoilage.   Notable Timestamps [ 00:00 ] - The scenario presented involves a windstorm that caused a power outage, leading to spoiled cheesecakes and a claim for spoilage and lost business income, raising the central question of whether the windstorm deductible applies given the chain of events. [ 01:30 ] - Trivia: Where did the maximum natural wind gust ever recorded occur? [ 03:00 ] - The windstorm deductible endorsement states it applies to losses "caused directly or indirectly by windstorm or hail", but this language, even with "indirectly," can still lead courts to perform a proximate cause analysis, often leaving the "dominant and efficient cause" determination to a jury, unlike clearer anti-concurrent causation language. [ 04:30 ] - While "directly or indirectly" might address some indirect causation issues, the very definition of "windstorm" is not straightforward and is heavily subject to interpretation by courts based on specific case facts. [ 06:00 ] - Case law interpretations of "windstorm" can be narrow, such as a Rhode Island case finding high winds didn't qualify due to excessive rain; or surprising, like a Texas court holding a tornado was not a windstorm for deductible purposes. [ 07:30 ] - Is a tornado the epitome of a windstorm? Depends on who you ask... [ 09:00 ] - When two different endorsement provisions contain irreconcilable conflicts, such as both stating that "no other deductible applies" to the coverage they provide, a court might determine that no deductible applies at all. [ 12:00 ] - The business income claim follows a chain of events from the windstorm to the power outage and then the spoilage. The business income loss specifically results from the inability to operate due to the spoiled inventory, which might also involve potential Extra Expense. [ 13:30 ] - Brennan provides a recap of the scenario and the points above. Your PLRB Resources PLRB Catastrophe Services Launches New Power Outage Reports - https://www.plrb.org/documents/plrb-catastrophe-services-launches-new-power-outage-reports/?search=power%20outage%202025 Turner Construction Co. v. ACE Prop. & Cas. Ins. Co., No. 04-4451-CV, 2005 WL 2837575, — F.3d — (2d Cir. 10/28/05) (applying Texas law) reviewed at PLRB, Prop. Ins. L. Rev. 6978 (2005) Windstorm Deductible – Food Spoilage – BI – PCQ.2024.07.26.twh.a - https://www.plrb.org/documents/windstorm-deductible-food-spoilage-bi-pcq-2024-07-26-twh-a/?search=power%20outage%202024 Employees of member companies also have access to a searchable legal database, hundreds of hours of video trainings, building code materials, weather data, and even the ability to have your coverage questions answered by our team of attorneys (https://www.plrb.org/ask-plrb/) at no additional charge to you or your company. Subscribe to this Podcast Your Podcast App - Please subscribe and rate us on your favorite podcast app YouTube - Please like and subscribe at @plrb LinkedIN - Please follow at “Property and Liability Resource Bureau” Send us your Scenario! Please reach out to us at 630-509-8704 with your scenario! This could be your “adjuster story” sharing a situation from your claims experience, or a burning question you would like the team to answer. In any case, please omit any personal information as we will anonymize your story before we share. Just reach out to scenario@plrb.org.  Legal Information The views and opinions expressed in this resource are those of the individual speaker and not necessarily those of the Property & Liability Resource Bureau (PLRB), its membership, or any organization with which the presenter is employed or affiliated. The information, ideas, and opinions are presented as information only and not as legal advice or offers of representation. Individual policy language and state laws vary, and listeners should rely on guidance from their companies and counsel as appropriate. Music: “Piece of Future” by Keyframe_Audio. Pixabay. Pixabay License. Font: Metropolis by Chris Simpson. SIL OFL 1.1. Icons: FontAwesome (SIL OFL 1.1) and Noun Project (royalty-free licenses purchased via subscription). Sound Effects: Pixabay (Pixabay License) and Freesound.org (CC0).

In this Mother's Day episode of the Sunday Scaries, Alex starts by talking about Casey Means, Trump's pick to be the U.S. Surgeon General. Means is part of the MAHA movement, is a friend of RFK Jr., expresses vaccine skepticism, has no experience running a public health organization, and didn't even finish her residency to practice medicine. For the rest of the episode, Alex talks about the Narva Scenario (out of Estonia) which would be a nightmare for NATO. He then poses the question — is Putin preparing to strike a NATO country?

Sankar & Divya spent 21 years in the US before moving to India in 2023. They talk about their background and why they plan to move to India. Insights into when the discussion started and planning the place to live, financial planning etc., They talk about their life in India, kid adjustment and career opportunities for non-IT people. A very jovial and great conversation that can be related to. 

Don't Play the Scenario Game in the Pitch Hello, this is Hall T. Martin with the Startup Funding Espresso -- your daily shot of startup funding and investing. Founders are confronted with many options for their fundraising. If they raise more, they can achieve more milestones. If they raise less, they can achieve fewer milestones. Some founders play out these scenarios in the pitch to investors. This is a mistake. Multiple scenarios of varying amounts of funding with differing outcomes only confuse the investor. Investors often try to figure out what the startup is doing. Adding complexity with several fundraising options only makes the process harder. It's best to choose a fundraising amount and decide what can be done with it. Present this to the investor. If multiple investors indicate this is not the best path forward, then consider changing it. It's okay to have multiple versions of the pitch, each geared to a different investor type. Choose the appropriate version of the deck for the one you are pitching. Avoid the multiple-scenario game in the pitch.   Thank you for joining us for the Startup Funding Espresso where we help startups and investors connect for funding. Let's go startup something today. _______________________________________________________ For more episodes from Investor Connect, please visit the site at:   Check out our other podcasts here:   For Investors check out:   For Startups check out:   For eGuides check out:   For upcoming Events, check out    For Feedback please contact info@tencapital.group    Please , share, and leave a review. Music courtesy of .

Mix Name: DJ Arsonist – A Tribe Called Quest Dedication Mix Website: https://www.iamlmp.com/ Instagram: https://www.instagram.com/iamlmp/ DJ Instagram: https://www.instagram.com/mreverywherelmp/ Download our DJ Music App Daily Mixes: https://linktr.ee/iamlmp —– Immerse yourself in the timeless sounds of A Tribe Called Quest with this dedication mix by Mr. Everywhere! Featuring classics like Bonita Applebum, Stressed Out, Can I Kick It, and Electric Relaxation, this mix is a true tribute to one of hip-hop's most legendary groups. Sit back, relax, and vibe with the iconic beats and smooth lyricism that shaped a generation. Don't forget to like, comment, and subscribe for more mixes! 01. A Tribe Called Quest – Bonita Applebum 02. A Tribe Called Quest – Jazz (We’ve Got) 03. A Tribe Called Quest – Stressed Out 04. A Tribe Called Quest – Find A Way 05. A Tribe Called Quest – Check The Rhime 06. A Tribe Called Quest – Buggin’ Out 07. A Tribe Called Quest – Award Tour 08. A Tribe Called Quest – Can I Kick It 09. A Tribe Called Quest – Electric Relaxation 10. A Tribe Called Quest – Hot Sex 11. A Tribe Called Quest – Scenario #hiphop #iamlmp #atribecalledquest

Summary   In this episode of the Conquer Athlete Podcast, hosts Ryan Bucciantini and Jason Leydon discuss the nuances of coaching, particularly focusing on the elusive 'final 10%' that separates good coaches from great ones. They explore the importance of building habits, fostering belief, and developing resilience in athletes. The conversation delves into the mindset required to overcome limitations and the significance of competing as a skill. The hosts emphasize the need for scenario-based training to prepare athletes for real competition environments, ultimately highlighting the intricate relationship between coaching strategies and athlete performance.   Takeaways The final 10% is what separates good coaches from great coaches. Great coaching involves understanding the unique needs of each athlete. Building belief and resilience is crucial for athlete development. Competing is a skill that can be developed over time. Mindset coaching is essential for overcoming performance anxiety. Creating controlled chaos in training helps athletes adapt to competition pressure. Effective communication fosters trust and belief in athletes. Athletes often underestimate their potential due to self-doubt. Scenario-based training prepares athletes for real competition environments. The relationship between coach and athlete is pivotal for success. Topics  Unlocking the Final 10% in Coaching The Art of Coaching: Beyond Sets and Reps Sound Bites "It's a mixture of things, right?" "Competing is a skill." "What really makes this person tick?" Chapters   00:00Introduction and Setting the Stage 01:52The Final 10%: What Great Coaches See 09:00Building Habits, Belief, and Resilience 14:46Mindset and Overcoming Limitations 22:09The Art of Coaching: Creating Controlled Chaos

Today, we are learning from Suzanne Whitby. Suzanne is a pragmatic optimist dedicated to co-creating hopeful, sustainable futures. A futurer, facilitator, communicator and storyteller, she leads Futures Fit, a futures & foresight consultancy that empowers businesses and communities to use the future to drive tangible change today. She is also the founder of SciComm Success, where she helps scientists and researchers communicate research results and impact, shining a light on the innovation and creativity essential for building better futures. Suzanne is an interdisciplinary researcher at VU Amsterdam, and she explores how place-based, multi-sensory stories of the future can encourage pro-environmental thinking and climate action using her senstoryscapes approach. Suzanne is South African and long-time resident of Innsbruck, Austria. She is an aspiring mindful person who does her best to tread lightly and intentionally on the earth. Let's get started... In this conversation with Suzanne Whitby, I learned: 00:00 Intro 03:55 Looking at experimental smelling futures of ancient Pompei and creating sensory maps. 05:40 Learning about sensory mapping and understanding what a smell or sound means. 09:00 We are making assumptions about how similar people are to us, but in reality, they are different. 10:45 For most of us, we change our minds based on emotions. 12:45 Feeling and experiencing possible futures. 16:30 The deficit model of science communication. 18:10 Discovering different futures and what future we would like to have? Most people want the same sort of things. 23:05 How can we have excuses to justify to ourselves? 25:25 Focus more on what we can gain instead of what we might lose. 29:35 Learning about scenario planning via a game and building resilience. 32:40 Supporting scientists with their communication after the BP oil spill. 35:20 Why communicating with society is important for scientists. 41:25 She got disillusioned by the corporate world in the UK. 43:25 The most important pivot for her business. 47:00 Co-creating hopeful, sustainable futures. 52:05 Equality vs equity, what does it mean? 1:00:15 The ideas are stepping stones. Sometimes an idea has to die in order to take you into a new direction. More about Suzanne Whitby: https://www.linkedin.com/in/suzannewhitby/  https://klimafit.eu/ https://www.futures.fit/  https://suzannewhitby.com/ https://futuringis.com/ (podcast) https://suzannewhitby.com/thegreatswitch/ (A weekly-ish newsletter documenting my journey of switching to tools that are open source, Europe-based, or aligned with better futures for all.) https://peopleplanetprosecco.eu/  https://scicommsuccess.com/ Resources Phoebe Tickell Imagination Activism to Create Systemic Shifts | Phoebe Tickell | IDG Summit 2023 From Inner Growth to Outer Change | Phoebe Tickell | Keynote x ChangeNOW2024 Imagination Activism | Phoebe Tickell - Planet Critical podcast VU Amsterdam Kate McLean - Sensory maps https://www.linkedin.com/posts/maren-urner_wir-m%C3%BCssen-reden-und-zwar-dar%C3%BCber-wie-activity-7312451758335623169-griG (Maren Urner - Wir mussen reden) https://www.linkedin.com/posts/michaelfritz-vivaconagua_miniaturwunderland-hamburg-klima-activity-7310198922885423106-k8a8/ (Why don't you see it video) Scenario planning (Wikipedia) De levende onderneming – Arie de Geus #boekencast afl 1 (Dutch) The Living Company: Growth, Learning and Longevity in business - Arie de Geus (book) The Black Swan: The Impact of the Highly Improbable by Nassim Nicholas Taleb stem scientists = scientists that work in Science, technology, engineering, and mathematics. Seth Godin Video of the conversation with Suzanne Whitby https://youtu.be/F9l0F6i7aEk Watch the conversation here https://youtu.be/F9l0F6i7aEk

Driving Scenario 04/30/25

Ryan, Matt, & GreenBean discuss the Jets Power Ranking Post-Draft, a WR Trade Scenario, and the Steal of the Draft

In this episode of our scenario series, I tackle a question from a financial advisor who is unsure how to connect with a potential referral source without risking their relationship. We explore the science behind referrals and why asking for them directly can sometimes shut down the very connections we hope to build. I'll also share strategies to help you reach out effectively while respecting your relationships. Resources and links mentioned in this episode can be found on the show notes page at http://www.staceybrownrandall.com/360

Mike Armstrong and Marc Fandetti discuss the Fed willing to risk being too-late on interest rate cuts. US shale output has peaked as prices fall. Buy American? No thanks, Europe says, as tariff backlash grows. Why is free trade beneficial to all involved?

Join Jim and Sheeny as they go into the hell of Digletts cave, get some Mr Mimes fail and succeed to catch a Clefairy and almost die to Bellsprout's in this weeks episode of How Not To Summon A Scenario Pokémon Series How Long Were We In There?  Join The Summoning Boys : On YouTube - www.youtube.com/@hownottosummonapodcast On our Facebook page- www.facebook.com/HowNotToSummon On Discord - https://discord.gg/MsaH4b5jb6 On Twitter- www.twitter.com/HowNotToSummon

A windstorm knocks over a power line, causing hundreds of cheesecakes at a local restaurant to spoil. The owners have to close for a few days as they manufacture more. Their adjuster wants to know how to investigate the storm and power outage.   Notable Timestamps [ 00:20 ] - The loss of desserts is always tragic, even lemon merengue. [ 01:00 ] - Trivia: Which variety of cheesecake contains "quark"? Or should we say "Weißkäse"? [ 01:50 ] - PLRB.org features a Weather and Catastrophe hub designed for insurance professionals and not for cat enthusiasts. [ 02:17 ] - Users can get a full weather/cat report from the historical weather section of the Weather and Cat hub by entering an address and date range. [ 03:11 ] - A full weather/cat report provides data including hail, wind, precipitation, lightning probability, storm reports, and watches/warnings. [ 04:15 ] - For this scenario, the report showed evidence of strong winds, such as a 72 or 73 mile per hour gust reported near the scenario's location in Waco, Texas. [ 06:08 ] - The PLRB hub also offers a power outage report tool which uses data from power outage US and covers 80% of the United States. [ 07:18 ] - The power outage report can show the location of outages near the address, indicating that power was out in the general area. [ 08:13 ] - Both the full weather/cat report and the power outage report can be combined to provide evidence, in this scenario for example, that a storm  came through and knocked out power for the area. [ 09:59 ] - Dylan provides a recap of the scenario and the points above. Your PLRB Resources Get a Full Weather/CAT Report (hail, wind, precipitation, more) - https://www.plrb.org/weather-cat/plrb-cat-data/ PLRB Catastrophe Services Launches New Power Outage Reports - https://www.plrb.org/documents/plrb-catastrophe-services-launches-new-power-outage-reports/?search=power%20outage%202025 Mankoff v. Privilege Underwriters Reciprocal Exch., No. 05-22-00963-CV, 2024 Tex. App. LEXIS 594 (Tex. App. 01/29/2024) (Court of Appeals of Texas, 5th District, applying TX law) [reviewed at PLRB, Prop. Ins. L. Rev. (2024)] - https://www.plrb.org/documents/mankoff-v-privilege-underwriters-reciprocal-exch-2024/?search=mankoff Employees of member companies also have access to a searchable legal database, hundreds of hours of video trainings, building code materials, weather data, and even the ability to have your coverage questions answered by our team of attorneys (https://www.plrb.org/ask-plrb/) at no additional charge to you or your company. Subscribe to this Podcast Your Podcast App - Please subscribe and rate us on your favorite podcast app YouTube - Please like and subscribe at @plrb LinkedIN - Please follow at “Property and Liability Resource Bureau” Send us your Scenario! Please reach out to us at 630-509-8704 with your scenario! This could be your “adjuster story” sharing a situation from your claims experience, or a burning question you would like the team to answer. In any case, please omit any personal information as we will anonymize your story before we share. Just reach out to scenario@plrb.org.  Legal Information The views and opinions expressed in this resource are those of the individual speaker and not necessarily those of the Property & Liability Resource Bureau (PLRB), its membership, or any organization with which the presenter is employed or affiliated. The information, ideas, and opinions are presented as information only and not as legal advice or offers of representation. Individual policy language and state laws vary, and listeners should rely on guidance from their companies and counsel as appropriate. Music: “Piece of Future” by Keyframe_Audio. Pixabay. Pixabay License. Font: Metropolis by Chris Simpson. SIL OFL 1.1. Icons: FontAwesome (SIL OFL 1.1) and Noun Project (royalty-free licenses purchased via subscription). Sound Effects: Pixabay (Pixabay License) and Freesound.org (CC0).

Torniamo a occuparci dei rimborsi per le spese di trasferta e rappresentanza di dipendenti e collaboratori. La legge di Bilancio 2025 ha imposto l’obbligo di pagamento tracciabile, in questi casi, ai fini della deducibilità delle spese e della non imponibilità per il lavoratore. Questo non fa però venire meno l’obbligo di rimborso, anche se tassato, in capo al datore di lavoro. Facciamo il punto con Cristina Odorizzi – commercialista ed esperta per Il Sole 24 ORE.La seconda parte della puntata è dedicata ai mutui. La Banca Centrale Europea ha annunciato il 17 aprile un nuovo taglio dei tassi di interesse di 25 punti base. Si tratta del settimo consecutivo. Per chi è interessato ad accendere un mutuo o sta valutando una surroga torna a farsi avanti il dubbio amletico sulla scelta tra tasso fisso e tasso variabile. Quali sono gli aspetti da valutare in questa fase? Ne parliamo con Guido Bertolino – Responsabile Business Development di MutuiSupermarket.it.

Applied to 50+ UX or Product jobs & still no interviews or offers? Get UX job search help.Welcome to the Career Strategy Podcast with Sarah Doody, a UX Designer & UX Researcher with 20 years of experience who founded the UX job search accelerator, Career Strategy Lab. She's been doing UX career coaching since 2017.Follow Sarah on: LinkedIn | YouTube | InstagramYou might think your DIY job search is saving you money—but the truth is, it's likely costing you tens of thousands in lost income, time, and emotional energy.In this eye-opening episode, Sarah Doody breaks down the real cost of an inefficient UX job search using her custom-built UX Job Search ROI Calculator. You'll follow three real-world scenarios—a mid-level designer, a career switcher, and a junior designer—and see how seemingly small inefficiencies (like endless applications and resume rewrites) quickly add up to five-figure losses.Whether you're just starting your job search or you've been at it for months, this episode will help you stop making emotionally driven decisions and start using data to drive your next move.What You'll Learn in This Episode:✔️ The hidden financial and emotional cost of a prolonged job search✔️ How many hours and dollars you're actually spending applying to jobs✔️ Why rejection often triggers unnecessary upskilling and overlearning✔️ The ROI of getting strategic job search help (with real numbers)✔️ Why clarity and confidence—not more courses—are what actually get you hiredResources & Next Steps:

Remember that time Johnny Cash made a song about doing Freaky Friday with a chicken, and he turned into a bank robber whilst a chicken made off with his fame and fortune? Whatever, it made no sense but I liked the way he said “GEETAR case”. Anyway, this is a podcast that explores what would happen if that scenario actually happened. Enjoy!Links to everything at https://linktr.ee/plumbingthedeathstar including our terrible merch, social media garbage and where to become a subscriber to Bad Brain Boys+ Hosted on Acast. See acast.com/privacy for more information.

THE GOOFY SCENARIO - how Disney lost a huge segment of it's audience by AKAPAD Peter A DeLuca

Hour One of the Good Morning Football Podcast begins with hosts Colleen Wolfe, Kyle Brandt, Manti Te'o and Ross Tucker looking at the best situation for Kirk Cousins and Aaron Rodgers - will the Steelers wait on Rodgers? Kyle and Ross take a look at the Tampa Bay Buccaneers BIGs! Then Kyle tees up Ross to answer several questions - how happy is he for the Washington Commanders? Is it smart for Mike Vrabel to clean house?See omnystudio.com/listener for privacy information.

Apr 30, 2025 – Curious about where the global trade war is headed—and who the winners and losers might be? In this timely interview, Variant Perception's macro strategist Jonathan Petersen joins Financial Sense to break down the real...

This week we devote an episode of the MMQ&A to pensions of all flavours, answering questions on public sector schemes, partial transfers, fund choices and much more! Shownotes: https://meaningfulmoney.tv/QA12    00:52  Question 1 Hi Chaps! I only recently got into podcasts and am frantically trying to listen to as many pension ones as I can. Yours are the most useful I've come across and now I can't stop listening to them all! A small question I hope you can clarify for me please: I am 48 and a few years away from possibly an early retirement (hopefully 58) but trying to plan ahead. I have both a DB pension through work (NHS) and a personal Vanguard SIPP pension I also add to monthly and am of the understanding that you can take 25% tax free (up to the set limit) from your pensions overall and therefore my question is- could I take all the 25% tax free amount from my SIPP and leave the rest of my SIPP and all my DB pension pot to pay me a pension from. In example (arbitrary figures): my DB and SIPP are each worth £100000, totalling £200000. Therefore, under current rules, could I take £50000 tax free from the SIPP (the overall 25%) and the other £100000 in DB and £50000 left in my SIPP to pay me a pension monthly. Or is this not possible at all as they are different schemes, ie DB and DC? Many thanks Jon, from Norfolk   05:30  Question 2 Hi Guys, Firstly, a massive thank you for all the information you provide, it really has completely transformed my personal finances. I still have a long way to go until retirement (I've just turned 30) but thanks to you, I'm confident it won't have to be the state pension age! My question is – I work in Local Government and, whilst the salary is distinctly average (37k) it does come with the benefit of a DB pension scheme. I'm now considering making some additional contributions but there are two options available and I'm struggling to find any useful information online… – Make AVCs into what I understand to be a separate pension scheme more akin to a DC pension – Make APCs whereby I effectively buy more DB pension. It works out at approx an additional £10 guaranteed yearly income for every £80 (£100 if including tax relief) I contribute. In my head, this sounds good as long as I make it 10 years into retirement! Is there an obvious answer to this question? Only obvious downside to the DB option is, if I were to pass away before retirement, the additional pension is effectively lost and not paid to my next of kin! But then again, I don't intend to go anywhere anytime soon! Any thoughts appreciated and thanks again! Jack   12:03  Question 3 I have a question relating to the upcoming change in minimum pension age and how it affects those of us in the 55 bracket before the 6 April 2028 change.  I don't know if there is any clarity from government yet but if I am 55 in September 2027 and take a PCLS 25% tax free from an AVC DC running alongside my DB pension scheme, then want to retire fully and start taking the DB in September 2028 when I am 56 is that possible? There seems to be a grey area about what happens after the April 2028 cut off to those of us in this age range. It doesn't even appear clear if someone taking early retirement at 55 would then stop being eligible for monthly payments after April 2028 until they were 57. So they think they have retired fully, then when April comes around their payments stop! Appreciate that sounds a dramatic scenario but I haven't been able to find anything comprehensive on it so hope you can help. I also have a question on DBs with AVCs which might be useful for others. If I have a DB pension valued at £300k and saved £75k in AVCs over the years, can I take the full £75k at 55/57 without it a) affecting the DB monthly amount which can be taken from age 60 in my case, and b) without it being classed as a pension event, so I can continue to contribute over £10k a year into a DC scheme as I plan to continue working until 60. Appreciate they are specific to me but thought there must be others in a similar position. Sorry for more long questions. Thanks for all the great podcasts, look forward to the next. Thanks, Don 19:34  Question 4 Hi Pete! Hi Rog! I've been a long time listener to your dulcet tones and concise advise for a long time and love what you guys do, so please keep doing it! Another pension Question I'm afraid! A while ago I consolidated a few old workplace pensions in to a SIPP, but I still have my current workplace DC pension ticking away. Its not great, being the bare legal minimum (2.5% contribution from my employer) and the fees seem higher than they should be. If I close that pension and transfer to my better performing and cheaper SIPP, I effectively opt-out of the employer contributions scheme. My question is what should I do to be most efficient with my pensions to ensure I am getting the benefit of employer contributions without paying over the odds for an underperforming scheme? I'm 34, and (thanks in no small part to you) feel somewhat on top of my finances. We have an almost balanced budget, regular savings (both short and longer term) in tax efficient wrappers and only a smidge of interest free debt all under control. My SIPP is knocking on for £50k, my DC around £18k. Thanks again Tom 26:49  Question 5 Hi guys Thank you for the advice from your book, podcasts and videos. They encouraged me be brave enough to open a Stocks and Shares ISA, to begin my investing journey. They also encouraged me consider income protection, which I now have. My question is about Additional Voluntary Contributions, compared with a SIPP. I am fortunate to be part a Local Government, Defined Benefit Scheme. I would like to contribute more to my retirement savings, each month a third into a pension and two thirds into a S&S ISA. My pension gives me the option of buying additional pension, however the rates are not very competitive. I make AVC to a third party provider. I have also started a SIPP. This has lower fees and better customer service, then the AVC provider. Something I can't quite understand. What are the benefits of making a AVC, which deducts my contribution pre-tax compared with making a contribution to a SIPP and claiming the tax back? I am a higher rate tax payer. My employer does not offer employer match or salary sacrifice. Thanks for all the help. Rob 29:45  Question 6 Hi question for your podcast if you'd be so kind. My question is about salary sacrifice and its effect on relevant earnings for the annual allowance. I'll use some figures to illustrate and for simplicity assume tax relief and employer's contributions are included in the amounts going into the scheme. I have my employers scheme and a separate SIPP. My income comes from employment and rents from property. I generally put anything I can from the property into the SIPP and sacrifice as much as I can into AVCs in my company pension to benefit from Sal sac. Scenario; my salary before tax is £60000. If I where to sacrifice £500 per month under and electric car scheme and £1500 per month into my pension (combination of pension contributions and AVCs) that would be a total of 24000 sacrificed from 60000 leaving me with a pre tax wage of £36000 and £18000 in my pension pot for the year. My question is what is now left of my annual allowance. Are my relevant earnings now only £36000 and therefore the £18000 already sacrificed come off the £36000 or do I have the £36000 left? Or something else? What would be the amount of money that I could put into my SIPP from my income from property and not break the annual allowance. I hope this makes sense. For ease assume previous years are full in respect to carry forward. Thank you both! Love the podcast! John. 32:30  Question 7 Love the show. Listen whenever I get a chance. I know you've covered investments, savings, pensions etc, but I'm after some advice. To keep it short as requested last week, I've been a public sector worker for 10 years now and have not paid into a pension scheme due to personal financial issues. I got promoted 3 years ago and am now in a much better financial position. I have still got 25 years service until I can retire, but am concerned I've missed out on a a large contribution for the pension scheme. Would I be better opting into the pension or looking at other alternative such as S&S index, ISA, etc? I do intend to promote a few more times before retirement so pension contributions/investments will increase with income. Looking forward to your advice. Regards, Raph

Welcome to the first episode of our new Scenario Series, where I address real-life questions and situations that you, my listeners, encounter on your referral journey. Have you ever wondered why you're not receiving referrals from your clients' friends and colleagues? I'll break down how to approach this scenario and gather the information you need to boost your referral game. Resources and links mentioned in this episode can be found on the show notes page at http://www.staceybrownrandall.com/359

The MMQB's Albert Breer joins Afternoon Drive to react to the NFL Draft. He talks about Shedeur Sanders' slide, if he makes sense for the Browns, what he likes about the team trading down from the No. 2 pick, and more.

Join Jim and Sheeny this Week as they take on Lt Surge in the Electric Gym, Work out why there are so many Bins in this place and really what does a Clefable taste like? We ask all this and more in this weeks episode of How Not To Summon A Scenario, Pokémon Series. Join The Summoning Boys : On YouTube - www.youtube.com/@hownottosummonapodcast On our Facebook page- www.facebook.com/HowNotToSummon On Discord - https://discord.gg/MsaH4b5jb6 On Twitter- www.twitter.com/HowNotToSummon

A plumber drove the company truck the wrong way on a busy highway for some time before he realized, panicked, swerved, and flipped the truck. Police believe he was on illegal drugs, although he disputes it. His employer claims equipment damage under their BOP policy. Notable Timestamps [ 00:25 ] - The plumber (the business) is now making a claim under their businessowners policy, BP 00 03 07 13, for the $50,000 worth of plumbing equipment and parts damaged in the accident. [ 01:45 ] - This episode was filmed at the 2025 PLRB Claims Conference in Indianapolis, right in the middle of the Expo hall at the PLRB booth! [ 04:00 ] - The BOP: The hottest dance craze, or finally a policy too large for a pocket? [ 04:40 ] - BOP policies are primarily on-premises forms, but a small amount of coverage exists for Off-Premises Coverage for property in the course of transit or at a premises the insured does not own, lease, or operate. [ 06:24 ] - The highway is probably not a "premises." As for whether a van can be a premises, that might be a topic for a future episode. [ 07:30 ] - The tools were not intended to be removed and left at the job site, so they would likely not be considered in transit. [ 09:30 ] - Dishonest or criminal acts are excluded, and arguably it is not necessary to wait for a criminal conviction to qualify as a "criminal act." [ 12:00 ] - If the driver was under the influence and another car swerved into its lane, one could argue that the accident would have happened anyway. In this case, if the influence of drugs is proven, it likely caused the loss. [ 13:35 ] - The dishonest or criminal acts exclusion does not apply to "acts of destruction." There is no intent here so it's unlikely, but the case law is limited. [ 16:00 ] - Tim provides a recap of the scenario and the points above. Your PLRB Resources Annotation: BP34 - Personal Property Off Premises - https://www.plrb.org/documents/bp34-personal-property-off-premises/?search=%22In%20Transit%22%20coverage%20in%20the%20BP%2000%2003%2007%2013 Coverage Question: In Transit; Stop For Gas Does Not Mean That Money Was Not In Transit At Time Of Loss - https://www.plrb.org/documents/in-transit-stop-for-gas-does-not-mean-that-money-was-not-in-transit-at-time-of-loss-pcq-2022-08-18-jem-b/?search=%22In%20Transit%22%20coverage%20in%20the%20BP%2000%2003%2007%2013 Recorded Webinar: Product Liability Cases Involving Emerging Risks: Vaping/Marijuana/Toxic Torts - https://www.plrb.org/courses/marijuana-cannabis-hemp-drugs/lessons/product-liability-cases-involving-emerging-risks-vaping-marijuana-toxic-torts/ Employees of member companies also have access to a searchable legal database, hundreds of hours of video trainings, building code materials, weather data, and even the ability to have your coverage questions answered by our team of attorneys (https://www.plrb.org/ask-plrb/) at no additional charge to you or your company. Subscribe to this Podcast Your Podcast App - Please subscribe and rate us on your favorite podcast app YouTube - Please like and subscribe at @plrb LinkedIN - Please follow at “Property and Liability Resource Bureau” Send us your Scenario! Please reach out to us at 630-509-8704 with your scenario! This could be your “adjuster story” sharing a situation from your claims experience, or a burning question you would like the team to answer. In any case, please omit any personal information as we will anonymize your story before we share. Just reach out to scenario@plrb.org.  Legal Information The views and opinions expressed in this resource are those of the individual speaker and not necessarily those of the Property & Liability Resource Bureau (PLRB), its membership, or any organization with which the presenter is employed or affiliated. The information, ideas, and opinions are presented as information only and not as legal advice or offers of representation. Individual policy language and state laws vary, and listeners should rely on guidance from their companies and counsel as appropriate. Music: “Piece of Future” by Keyframe_Audio. Pixabay. Pixabay License. Font: Metropolis by Chris Simpson. SIL OFL 1.1. Icons: FontAwesome (SIL OFL 1.1) and Noun Project (royalty-free licenses purchased via subscription). Sound Effects: Pixabay (Pixabay License) and Freesound.org (CC0).

On today's edition of the Tapping The Keg podcast, Charlie discusses the Damian Lillard injury, the Milwaukee Bucks' awful defense, the Green Bay Packers' NFL Draft decisions on Friday and Saturday. Charlie reacts to Damian Lillard blowing out his Achilles, what it means for him, and why Charlie would not push the trade Giannis Antetokounmpo button unless Giannis says so (4:00). Charlie discusses the pathetic effort from the Bucks defense and why it was the final straw for him about Doc Rivers (19:00). After that, Charlie discusses how the Green Bay Packers pivot again in the NFL Draft (32:00).

In this episode, Berzerker and Jez are taking a bumpy ride along the launch of World of Warcraft Patch 11.1.5, the bugs, the delayed content, and the confusing catch up currency. Plus, a new player housing blog, a new book, a new trading post, and a new Q&A intro that is MOST METAL! So grab a seat, crank it up, and enjoy the show!

The Buddies strapped in for book 2 (or some may say book 1.5) of the Dungeon Crawler Carl series with Carl's Doomsday Scenario by Matt Dinniman. While this book may have not advanced the story too much, the Buddies had a good time reading and got into chatting about, AIM chatting, binge reading, and why being less intelligent and less sensitive is a good thing. So join us as we reconnect with our good buddies Carl, Princess Donut, and Mordecai.Intro/Book Report (0:00-4:18)Stock Up/Down (4:08-27:51)Favorite Scene/Character (34:41-32:45)Love/Hate (32:46-36:53)Conclusion (36:54-40:08) NEXT BOOK: Sunrise on the Reaping by Suzanne Collins

4.24.25 Hour 3, Ben Standig from The Athletic joins the Kevin Sheehan Show to break down his recent mock draft for the Commanders and predicts what the team will do night one in the NFL Draft. Callers give their dream scenario for the Commanders in the NFL Draft. Carmelo Anthony wants to see Kevin Durant play for the Wizards.

(00:00) Beetle, Phil Perry and Nick Cattles give their final remarks about the Bruins front office press conference wrapping up the 2024-25 season. (11:58) Beetle, Phil Perry and Nick Cattles discuss the arm length controversy for OT Will Campbell and discuss his shoulder width as well as hand and grip strength on draft day. (22:19) The guys continue to discuss draft talk and try to figure out the order that players will be picked in the spirit of NFL Draft day. (31:05) We finish the second hour with scenarios in the draft where Abdul Carter falls to the Patriots at pick #4 and how the Pats should react in that situation and similar scenarios with other high-level players.

11am hour of The K&C Masterpiece!

Nick and J.P. are taken aback by Jake's dislike for chicken wings, prior to considering a scenario that includes both Travis Hunter and Shedeur Sanders.

Nick and J.P. talk to Ryan Roberts of A to Z Sports about tonight's draft. The two consider the possibility of the Browns trading back into the first round to pair Travis Hunter and Shedeur Sanders, before reacting to a report from Dianna Russini that Andrew Berry would be okay moving back a few spots.

Purdy's Mentality: The mindset that has been a pre-requisite for 49ers franchise QB's (2:33)... A Dramatic Draft Scenario from Todd McShay (17:34)...49ers Draft Buzz (26:14)Our Sponsors:* Check out Cigars International and use my code GUY for a great deal: https://www.cigarsinternational.com* Check out Hims: https://hims.com/GUYAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

On episode 168 of Ask The Compound, Ben Carlson and Duncan Hill are joined by RWM Chief Investment Officer and Masters in Business host Barry Ritholtz to discuss staying invested amidst bearishness, the best case scenario around tariffs, preparing for a recession, and much more! Submit your Ask The Compound questions to askthecompoundshow@gmail.com! This episode is sponsored by Rocket Money. Download the Rocket Money App and tell them Ask The Compound sent you!  Subscribe to The Compound Newsletter for all the latest Compound content, live event announcements, find out who the next TCAF guest is, get updates on the latest merch drops, and more! https://www.thecompoundnews.com/subscribe If you're a financial advisor, sign up for advisor-focused content at: https://www.advisorunlock.com/

Marshall Harris and Leila Rahimi were joined by Nate Tice of Yahoo Sports to preview the NFL Draft and to share what he views as the best-case scenario for the Bears at No. 10 overall.

Kevin talked some Caps' playoffs to open before getting to the NFL Draft. He has a dream draft scenario for the Commanders which he describes. He also had studied and shared his thoughts on the running backs in the draft. ESPN's John Keim joined Kevin for a ton of draft talk as well.  Go to zbiotics.com/SHEEHAN and use SHEEHAN at checkout for 15% off any first time orders of ZBiotics probiotics.Goldbelly.com, code sheehan, for free shipping and 20% off your first order of food from around the US.  Go To WindowNation.com. Buy 4 windows, get 4 free!If you want to bet on sports, go to mybookie.ag. Use code KEVINDC for a bonus!

Welcome to the "Week in Review," where we delve into the true stories behind this week's headlines. Your host, Tony Brueski, joins hands with a rotating roster of guests, sharing their insights and analysis on a collection of intriguing, perplexing, and often chilling stories that made the news.       This is not your average news recap. With the sharp investigative lens of Tony and his guests, the show uncovers layers beneath the headlines, offering a comprehensive perspective that traditional news can often miss. From high-profile criminal trials to in-depth examinations of ongoing investigations, this podcast takes listeners on a fascinating journey through the world of true crime and current events.       Each episode navigates through multiple stories, illuminating their details with factual reporting, expert commentary, and engaging conversation. Tony and his guests discuss each case's nuances, complexities, and human elements, delivering a multi-dimensional understanding to their audience.  Whether you are a dedicated follower of true crime, or an everyday listener interested in the stories shaping our world, the "Week in Review" brings you the perfect balance of intrigue, information, and intelligent conversation. Expect thoughtful analysis, informed opinions, and thought-provoking discussions beyond the 24-hour news cycle. Want to listen to ALL our podcasts AD-FREE? Subscribe through APPLE PODCASTS, and try it for three days free: https://tinyurl.com/ycw626tj Follow Our Other Cases: https://www.truecrimetodaypod.com The latest on The Downfall of Diddy, The Trial of Karen Read, The Murder Of Maddie Soto, Catching the Long Island Serial Killer, Awaiting Admission: BTK's Unconfessed Crimes, Delphi Murders: Inside the Crime, Chad & Lori Daybell, The Murder of Ana Walshe, Alex Murdaugh, Bryan Kohberger, Lucy Letby, Kouri Richins, Malevolent Mormon Mommys, The Menendez Brothers: Quest For Justice, The Murder of Stephen Smith, The Murder of Madeline Kingsbury, The Murder Of Sandra Birchmore, and much more! Listen at https://www.truecrimetodaypod.com