Podcasts about scenarios

NFL Senior Broadcasting Director Blake Jones joined Baskin and Phelps and explained how the NFL creates the schedule every single year. He shared the ins and outs of building a schedule, explained why the Browns don't have any primetime games in 2025, and explained how they work around complications like holiday weeks and other events taking place at NFL stadiums.

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.

In this episode of Buckeye Talk, Stephen Means, Stefan Krajisnik and Andrew Gillis discuss a variety of topics related to college football. They debate whether Ohio State would have beaten Texas if certain plays hadn't occurred, focusing on the final two minutes and the likelihood of overtime. The hosts also explore the quarterback situation at Ohio State, particularly the competition between Lincoln Kienholz and Julian Sayin. Finally, they analyze Sherrone Moore's suspension at Michigan, the broader implications of the sign-stealing scandal, and Jim Knowles' departure from Ohio State, including his recent comments and the unique pressures of coaching at Ohio State. Thanks for listening to Buckeye Talk and sign up to get text messages from experts Stephen Means, Stefan Krajisnik and Andrew Gillis at 614-350-3315. Get the insider analysis, have your voice heard on the Buckeye Talk podcast and connect with the best Buckeye community out there. Learn more about your ad choices. Visit megaphone.fm/adchoices

We celebrate your mom with LIVE CALLS! // SPD chief apologizes for nude beach trespass // SCENARIOS!

5-7 Monte Poole of NBC Sports Bay Area talks about GS "best case scenarios" of surviving a week without Steph Curry after his hammy strainSee omnystudio.com/listener for privacy information.

5-7 Monte Poole of NBC Sports Bay Area talks about GS "best case scenarios" of surviving a week without Steph Curry after his hammy strainSee omnystudio.com/listener for privacy information.

GUEST: Greg Woodfill, Metro Drivers Union President on whether a decrease in drug incidents are legit // BREAKING: THE FIRST AMERICAN POPE // SCENARIOS!

During the 4pm hour of today's show Chernoff & Los (in for Chuck) talked about Georgia Bulldogs Rookie Jalon Walker wearing #11 for the Atlanta Falcons despite that being Julio Jones' number, the cost of top level College Football Rosters, the Braves starting pitching staff, Sean Murphy, Falcons 2025 Scenarios and sports fan obituary's. See omnystudio.com/listener for privacy information.

0:00 - None of the NBA media's national darlings are left in the playoffs. And guess what? The 2nd round has been absolute cinema. All the theatrics from the first round came from "non stars." The league is still in good hands without the LeLakers, Luka, Giannis, Dame, Booker, Durant, Harden, etc. making headlines.15:34 - You know what's a great bit for radio? A Denver Geography lesson! Let's pull up a map on the big board and get to work! Then after that, we genuinely have no idea what to expect from the Nuggets in Game 2. At this point, no particular outcome would surprise us. 33:55 - We've had some weird food takes on this show over the years. PLENTY of odd food discussions. How about another?

Our UCSF Medical Insider and Professor of Orthopedic Surgery Dr. Pandya joins The Roast to break down how long Stephen Curry could be out with a hamstring strain and how long it could linger with him during the playoffs.

GUEST: Angela Poe Russell on the struggle to obtain Real ID // King, Pierce and Snohomish counties suing Trump admin over // AI Court Testimony. . . From Beyond the Grave // SCENARIOS!

Non-bank lenders form an increasingly important part of the mortgage market, particularly when it comes to servicing clients with specialist finance needs, such as the self-employed. In this episode of In Focus, we sit down with Tony MacRae, chief commercial officer of Bluestone Home Loans, to unpack the current lending market and discuss how brokers can grow their business by supporting clients who have specialist finance needs. Tune in to find out: The growing importance of specialist lenders in Australia. Scenarios that require an open-minded approach. How Bluestone Home Loans assesses income differently. And much more!

In this hilariously candid episode of The Sophisticatedly Ratchet Podcast, the crew dives into the wild world of Embarrassment—where innocent fun can sometimes spiral into cringe-worthy chaos.

David Murphy, Economics and Public Affairs Editor, reports that new economic forecasts will be announced later today.

Our conversation delves into the significance of starting with a clear outcome in marketing strategies. It emphasizes the need for realistic goal-setting and the common disconnect between ambitious targets and practical execution.TakeawaysStarting with an outcome in marketing is crucial.Realistic goals lead to better marketing strategies.Marketing leaders often set ambitious goals without clear plans.Understanding the outcome helps in working backwards effectively.Scenarios in marketing often repeat due to lack of clarity.Effective marketing requires alignment between goals and execution.Leaders should foster open discussions about goal feasibility.Outcome-driven approaches can enhance marketing success.Collaboration is key in achieving marketing objectives.Continuous evaluation of goals is necessary for success.Chapters00:00Introduction to Marketing Data and Personalization27:16The Importance of Tracking in Marketing30:03AI's Role in Data Tracking33:03Key Metrics for E-commerce Success36:06Balancing Creativity and Data38:57The Power of Data-Driven Decisions42:08Setting Outcomes in Marketing44:52Navigating E-commerce Analytics

GUEST:: Chris Sullivan on REAL ID and new trains // What are your drive-worthy small business destinations? // SCENARIOS!

Gee & Ursula round up the last 3 days of the Trump administration // Light rail transforming Redmond // SCENARIOS!

Alex is into femdoms, being cucked, forced bi-scenarios, findom and more and he called in to talk all about it. Tune in to hear all the details including how he was always into cheating sex as far back as he can remember, how and why he started only seeing sex workers very early on, when he got into femdoms and older women and the hook ups he had with them, when he got into forced bi scenarios, the guy he met online for a hook up and exactly what went down with him, the “censored bi-porn” he got into and the other kinds of porn that led to him watching, when and how he decided he wanted to be a “pay pig” and who he wanted to be financially dominated by, how that lead to him losing all of his friends, how he went on to snapchat looking for girls to dominate and what he would do on there, the one young girl he met that he started to dom and the crazy things he'd make her do, how she cheated on him and how he found out and how they got past it, how they eventually moved in together and how she eventually started to dom him, how he got her into cucking him, the first guy she hooked up with in front of hi9m and exactly act went down both times they all hooked up, the last time she hooked up with him while he listened over the phone, the one bad thing he's doing in this relationship that he should stop and why plus a whole lot more. **To see anonymous pics of ALEX plus see HOT pics of my other female guests + gain access to my PRIVATE Discord channel where people get super XX naughty + hear anonymous confessions + get all the episodes early and AD FREE, join my Patreon! It's only $7 a month and you can cancel at any time. You can sign up here: ⁠⁠https://www.patreon.com/StrictlyAnonymousPodcast⁠⁠ MY BOOK IS NOW OUT FOR PRE-ORDER!!!! Strictly Anonymous Confessions: Secret Sex Lives of Total Strangers. A bunch of short, super sexy, TRUE stories. GET YOUR COPY NOW: ⁠⁠https://amzn.to/4i7hBCd⁠⁠ To join SDC and get a FREE Trial! click here: ⁠⁠https://www.sdc.com/?ref=37712⁠⁠ or go to SDC.com and use my code 37712 Want to be on the show? Email me at ⁠⁠strictlyanonymouspodcast@gmail.com⁠⁠ or go to ⁠⁠http://www.strictlyanonymouspodcast.com⁠⁠ and click on "Be on the Show" Have something quick you want to confess while remaining anonymous? Call the CONFESSIONS hotline at 347-420-3579. You can call 24/7. All voices are changed. Sponsors: ⁠⁠⁠⁠⁠https://butterwellness.com/⁠⁠⁠⁠⁠ For 20% off your Butter Wellness perineum massager use code STRICTLY ⁠⁠⁠⁠⁠https://beducate.me/pd2508-anonymous⁠⁠⁠⁠⁠ Use code anonymous to get an additional 10% off the campaign's current discount - that's 60% off ⁠⁠https://shamelesscare.sjv.io/xLQ3Jv⁠ ⁠⁠Get $10 off Shameless Care's female viagra cream, just click on the link and use code: Strictly Follow me! Instagram ⁠⁠https://www.instagram.com/strictanonymous/⁠⁠ Twitter ⁠⁠https://twitter.com/strictanonymous?lang=en⁠⁠ Website: ⁠⁠http://www.strictlyanonymouspodcast.com/⁠⁠ Everything else ⁠⁠https://linktr.ee/Strictlyanonymouspodcas Learn more about your ad choices. Visit megaphone.fm/adchoices

The Moose on The Loose helps Canadians to invest with more conviction so they can enjoy their retirement. Join the Retirement Loop waitlist here: https://www.retirementloop.ca 5 easy steps to clean your portfolio: https://moosemarkets.com/webinar Download the Rockstar list here: https://moosemarkets.com/rockstars Why I prefer low yield vs high yield: https://moosemarkets.com/income

Today on the podcast. - Fingering a dog. 1 - Longevity in comedy.3 - New show - The Last Hard Bastard on Earth.6 - Scenarios.11 - Hecklers during a gig.12 - Mystery behind a brand new car.18. Chopper in the UK. New NFR sunglasses - https://neufound.com/pages/notforradio Give us a follow if you haven't already ~ Jay and Dunc. Want to get in touch? Hit us up, here: https://linktr.ee/notforradio Become a Sniper Elite: https://plus.rova.nz/ Check out our sponsor, Binance, here: https://bit.ly/3Y8N2UuSupport the show: https://plus.rova.nz/

Breaking down Bob Ferguson's mind and what's in store for WA // Prospective college student sues multiple universities over alleged racial bias // SCENARIOS!

May Day protests for immigrant rights // More than 500 universities sign letter against federal cuts, WSU absent // GUEST: Chris Sullivan explains how long we’ll have to suffer at SEA. . . and what we’ll get for it. . eventually // SCENARIOS!

Pierce County Commissioner Ryan Mello explains the County's resolution on immigration enforcement // Seattle voters feeling safer // SCENARIOS!

In this episode, I answer three questions from listeners concerning sex and compromise in the bedroom.

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

GUEST: Chris Sullivan and Gee Scott discuss how to approach coaching your child // PCC to vote on immigration resolution // SCENARIOS!

GUEST: Matt Markovitch wraps up this year's legislative session // Bill Belichick, 73, and the increasingly bizarre arrangement with a 24 year old woman // SCENARIOS!

Throughout the month of April, we're going to be highlighting some other shows that we are apart of creating! . This week, we're excited to announce the launch of our newest show....THE DISS LIST!The Diss List officially launches on May 7th and you'll be able to listen wherever you listen to podcasts. Keep your eyes & ears pealed! Coming soon: https://the-diss-list.simplecast.com

On this episode of Talking Buffalo, Patrick Moran offers his final Buffalo Bills team and draft thoughts, scenarios and predictions for Buffalo and around the league just hours before the start of the 2025 NFL Draft.There's always so much to chew on and digest in the wanning moments before the draft and this year is certainly not exception. Among other topics, Patrick has thoughts on what bringing Tre White means and how it may connect to the draft as well the next few days potentially serving as a form of indication on how the team is feeling about 2024 second-round wide receiver Keon Coleman, who flashed but was also highly consistent as a rookie.Also, safety is a position being highly discussed and picked for the Bills early in mock drafts by many national media folk, including Malaki Starts going to Buffalo in Benjamin Albright's mock draft. Patrick wonders if the safety talk is just that---all talk.Additionally, several Notre Dame players that Patrick feels like really good fits for the Bills right for now are mentioned, as well as non-first round guys he really likes and doesn't and who his top five most likely Bills first overall picks are as things stand.That plus Patrick breezes through his one and only seven round Bills mock draft that includes not one, not two but three trade ups and more.Major props to Talking Buffalo sponsor, Sonny Red's at 1841 Abbott Road in Lackawanna, just minutes from Highmark Stadium. We consider them THE most underrated spot for wings, pizza and other great food in Western New York plus it's a great place to drink and have a great time.♦♦♦♦♦Follow Patrick Moran/Talking Buffalo Podcast Substack: Patrick Moran's SubstackTwitter: @PatrickMoranTBBlue Sky: @PatrickMoranTB.bsky.socialInstagram: @PatrickMoranTBFacebook: Talking Buffalo Podcast 

Alongside Andy Hart, Ted Johnson details the illustrious history of the NFL Draft, highlighting the key moments in its near-century existence in the hours leading up to the 2025 edition. Plus, Hart, Fitzy and Johnson debate Andy's "most likely" NFL Draft scenarios for the New England Patriots and the rest of the league, including Will Campbell being a Pro Bowl tackle, a QB drafted this year winning a Super Bowl, and countless others. They also make their final picks and predictions for the draft on today's Odds and Ends.

Hart, Fitzy and Johnson debate Andy's "most likely" NFL Draft scenarios for the New England Patriots and the rest of the league, including Will Campbell being a Pro Bowl tackle, a QB drafted this year winning a Super Bowl, and countless others.

We take a look back at our interview with Mitch Holthus on Monday to see what is going to happen tonight according to the legend. One final look at a big draft for this team.

We look at draft scenarios and where the Chiefs could head tonight. We talk to Ben Maller and draft Jay Binkleys meal at the Landing before playing smash or pass with players set to get drafted.

With the NFL Draft just days away, Hoge and Kevin Fishbain deliver their final Bears mock draft—complete with bold predictions, trade scenarios, and draft-day surprises. They explore all the possibilities Ryan Poles could consider on Thursday night. Don't miss this must-watch episode for Bears fans! Learn more about your ad choices. Visit megaphone.fm/adchoices

With the NFL Draft just days away, Hoge and Kevin Fishbain deliver their final Bears mock draft—complete with bold predictions, trade scenarios, and draft-day surprises. They explore all the possibilities Ryan Poles could consider on Thursday night. Don't miss this must-watch episode for Bears fans! Hosted on Acast. See acast.com/privacy for more information.

April 23, 2025 - Season 15, Episode 124 of The Terrible Podcast is now in the can. In this Wednesday morning episode, Alex Kozora and I get right to discussing our final 2025 mock drafts for the Pittsburgh Steelers with the real event getting underway on Thursday night. Alex and I go over our six mock draft selections for the Steelers by round and discuss each player thoroughly and the reasons for the selections. We also discuss our biggest remorse immediately after submitting our final mock drafts. Alex and I also discuss a few of our own ideal scenarios for the Steelers outside of our final mock drafts. We also go over a few draft predictions when it comes to several topics related to players and positions. We discuss a few curveballs that could come in the draft related to the Steelers. Oregon DT Derrick Harmon reportedly has a medical concern related to his shoulder with the 2025 NFL Draft approaching so we go over that bit of news during this show. The Steelers showed some late pre-draft interest in Notre Dame CB Benjamin Morrison so we discuss that topic briefly in this show. This 110-minute episode also discusses several other minor topics not noted in the recap as well. steelersdepot.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Ted Johnson presents his potential Patriots' draft-day scenarios to Andy and Fitzy, and the guys share their opinions on what New England should do if those situations play out.

Ted Johnson presents more of his potential Patriots' draft-day scenarios to Andy and Fitzy, and the guys share their opinions on what New England should do if those situations play out. Plus, the guys react to a clip of Julian Edelman and Rob Gronkowski talking about the idea of visiting Bill Belichick at North Carolina, and Ted shares his review of traveling with Andy as part of today's Odds and Ends.

NBC Sports Boston Celtics' analyst Brian Scalabrine joins WEEI Afternoons with Hart, Fitzy and Johnson to react to Jayson Tatum's wrist injury and give insight into how Tatum's injury will impact the rest of the Celtics-Magic series, analyze Orlando's physical style of play on defense, and much more. Plus, the guys continue their discussion of Jayson Tatum's concerning wrist injury, and they debate how fans will react if Tatum does not suit up in the Celtics' upcoming playoff game against the Orlando Magic, after his coach yelled at him to "get up" after sustaining the injury. Ted also shares a few potential draft-day scenarios for the Patriots, and he, Andy and Fitzy give their opinions on what the team should do if each of them came to fruition.

Russillo starts the show with a playoff edition of Tales From the Couch (1:34). Then, he's joined by Danny Heifetz and Danny Kelly to break down Thursday's NFL draft (22:20). They share the smartest and dumbest picks teams can make at different positions and reveal the draft opinions they have that nobody else will agree with. Plus, Life Advice with Ceruti (59:31)! Do I fight my coworker over a chair? Check us out on YouTube for exclusive clips, livestreams, and more at https://www.youtube.com/@RyenRussilloPodcast. The Ringer is committed to responsible gaming. Please visit www.rg-help.com to learn more about the resources and helplines available. Host: Ryen Russillo Guests: Danny Heifetz and Danny Kelly Producers: Steve Ceruti, Kyle Crichton, Mike Wargon, and Jonathan Frias Learn more about your ad choices. Visit podcastchoices.com/adchoices

Tune-in as the PU Crew prepares for a busy draft week! We discuss the latest buzz surrounding the draft, Fred gives his first half of his "back of the envelope guys," and possible trade down scenarios the Patriots could entertain. Plus, Patriots WR DeMario Douglas joins us in-studio to share his offseason perspective and more! Be sure to join us for the Patriots Unfiltered Draft Night Show this Thursday at 7pm where we will cover all of night one's festivities, including an interview with Mike Vrabel!See omnystudio.com/listener for privacy information.

Draft trade scenarios for Steelers. Learn more about your ad choices. Visit megaphone.fm/adchoices

Genetic engineering, AI might destroy the world, and Jimmy Akin Mysterious World origin story. Happy Easter! Enjoy!This podcast is brought to you, in part, by the University of Dallas!In a world where people can often feel alone or like nothing really matters, the University of Dallas is different. Learn more about Brian Burch's alma mater, the University of Dallas, and join Brian's fellow alumni who are praying for him during his ongoing nomination process by clicking here: https://hubs.ly/Q0392_qp0All opinions expressed on LOOPcast by the participants are their own and do not necessarily reflect the opinions of CatholicVote.

Joe Bartel and Nick Whalen hit all of the biggest draft news and rumors of the day, discuss Joe's recent mock draft and dive in on some of their favorite best-case-scenario fits and outcomes throughout the first round.00:00 Intro03:15 Shedeur Sanders to Pittsburgh?06:30 Jaguars smokescreens14:20 Most likely unlikely Draft night outcomes16:30 Packers taking a WR?23:30 First-round running backs26:30 Best-case scenarios26:45 Denver Broncos29:25 Matthew Golden31:15 Colston Loveland40:10 Jalen Milroe-----Think you would be a better GM? Ultra GM lets you prove it.Have you ever dreamed of managing your favorite football team? Do you watch your team and think the GM made the wrong personnel decisions? Ultra GM, a new take on fantasy football, lets you become the GM of your favorite team. Start with the team's full roster and build it through the draft, free agency and trades to create your ideal version of that team.Ready to prove your skills as a GM? Sign up now at ultragm.com Get the latest fantasy sports insights, expert analysis, and premium tools at RotoWire.com—enter promo code ROTO15 at checkout to receive 15% off any product.

In the third hour, Mike Mulligan and David Haugh pondered whether the Bears could trade up or trade down from No. 10 overall in the NFL Draft. After that, Marquee Sports Network reporter Taylor McGregor joined the show to discuss the Cubs' strong 14-10 start and to preview their upcoming two-game series against the Dodgers at Wrigley Field. Later, Mike Florio of Pro Football Talk joined the program to preview the NFL Draft.

The Buck Reising Show Hr 3 - Best scenarios for Titans to trade out of 35 & Most Interesting players in the DraftSee omnystudio.com/listener for privacy information.

The NBA Playoffs have begun... WITHOUT THE SIXERS! We talk about who we're rooting for in the playoffs, the Sixers deciding to keep Daryl Morey and Nick Nurse, a couple of trade scenarios involving the Warriors and the Magic, and if God hates us.There are 20 Lottery Party tickets left. Get them at https://www.axs.com/events/906874/rights-to-ricky-sanchez-ticketsThe Rights To Ricky Sanchez is presented by Draft Kings SportsbookGet Customer Support that doesn't suck with Ethos Support at ethossupport.com/ricky or text or call Blair at (240)-593-2485Become a MortgageCS Ricky VIP at mortgagecs.com/rickySurfside Iced Tea and Vodka is the official sponsor of the Corner Three NewsletterGambling problem? Call one eight hundred Gambler. In New York, call eight seven seven eight HOPENY or text HOPENY (four six seven three six nine). In Connecticut, Help is available for problem gambling. Call eight eight eight seven eight nine seven seven seven seven or visit ccpg dot org. Please play responsibly. On behalf of Boot Hill Casino & Resort (Kansas). Twenty-one plus age and eligibility varies by jurisdiction. Void in Ontario. New customers only. Bonus bets expire one hundred sixty eight hours after issuance. For additional terms and responsible gaming resources, see D K N G dot CO slash AUDIO.

Tune-in as we discuss the latest on the 2025 NFL Draft with exactly a week until the Patriots make the fourth overall pick. Who are the best fits for the Patriots and what are some reasonable trade scenarios? Plus, Fred teases a few of his behind the envelope guys.See omnystudio.com/listener for privacy information.

With the NFL Draft just one week away, we talk with former Chicago Bears, Lance Briggs and Jerry Azumah about the top scenarios to play out for the Chicago Bears. We'll also talk with Lance and Zoom about the recent contract extensions for Kyler Gordon and TJ Edwards. Along with memories from draft night with Briggs and Zoom. Plus, Jerry Azumah will give you a chance to make some money in our new segment “Da Bets!” All that and more on CHGO Bears After Dark!