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GIVEAWAY - send us a message and let us know your favorite thing about the Square Pizza Pod. We are giving away SchermCo swag to the first three people that send us a note!In this episode of the Square Pizza Pod, Greg welcomes back Taylor James for her fourth appearance on the show and her first since earning her MBA and stepping into the role of Director of Strategic Implementation at SchermCo. In this episode, you'll learn more about:How Taylor's journey from classroom teacher to Director of Strategic Implementation shapes the way she leads complex strategy and project management workHow earning her MBA while working full time strengthened her “measurement muscle” and helped her shift from completing tasks to truly owning outcomes for clientsWhat it really looks like to design and implement programs like the Flight Forward aviation internship program and She Built This City's pre-apprenticeship expansionHow Taylor approaches relaunching programs, managing stakeholders, and moving ideas from concept to executionWhy time management, trusting the process, and building real relationships remain core to meaningful social impact workSupport the show
This episode is brought to you by Control Concepts Inc. Food and beverage processing engineers have much to balance when designing and optimizing facilities and production lines — including maintaining optimum food safety and process performance. Implementation of hygienic air-handling systems should be a critical piece of that puzzle, says Henry Tiffany, president of Control Concepts Inc., who shares insights on how processors can ensure product integrity and safety, using innovative dry-cleaning systems. This episode is sponsored by Control Concepts Inc. Learn more about Control Concepts' AirSweep material activation systems.
We catch up with ResearchWorks own Marissa Smith!Today we discuss the topic of evidence based guideline implementation. Real-World Application of Evidence-Based Guidelines in Paediatric Neurodisability.A continuing series from Oceania Conference 2026 - live from Hobart, Tasmania, Australia! NB. This episode was pre-recorded at the ResearchWorks studio prior to the conference.
Chronic conditions don't collapse all at once — they erode slowly, in the silence between appointments. Understanding how CCM and RPM interrupt that process might be the most important thing a provider reads this year.Learn more: https://ccmrpmhelp.com/contact CCM RPM Help City: Herriman Address: 12953 Penywain Lane Website: https://ccmrpmhelp.com/ Phone: +1 866 574 7075 Email: brad@ccmrpmhelp.com
In this third installment of Claude Sessions, Danny is joined by Subash from Not A Square, who helps e-commerce brands scaling past seven figures implement AI without scaling headcount. Subash walks through real client case studies -- including a TikTok brand that boosted its customer satisfaction score from 4.2 to 4.5 in four weeks using a customer support agent built in Claude. Danny then breaks down OpenClaw, the open-source personal AI agent that exploded in popularity, explains why he chose not to use it despite the temptation, and reveals Claude Flow -- his custom operating system built inside Claude Code with 11 engines, 300+ features, and a persistent memory layer powered by ChromaDB. The episode drives home one core message: document your operations first, pick one platform, go deep, and stop chasing every new tool. Key Topics Documenting operations before automation -- Why you cannot automate what is not documented TikTok customer support case study -- Building an AI agent that raised satisfaction scores in four weeks OpenClaw overview and security risks -- What it does, why it blew up, and why Danny built his own alternative Claude Flow -- Danny's custom operating system inside Claude Code with persistent memory The amnesia loop -- How context loss between sessions kills productivity and how ChromaDB solves it Pixel-less environment -- The shift from structured prompts to contextual AI interaction Go deep on one platform -- Why chasing multiple AI tools guarantees you build nothing Timestamps [00:00] Introduction -- Claude Sessions Week 3, delayed from the road [01:03] Subash introduces himself and Not A Square [02:01] Overview of three client projects and the problem founders face [04:30] Why operational truth is the moat in AI commerce [06:48] Three pillars: reduce costs, better governance, scale without headcount [07:30] TikTok case study -- customer support agent boosting store score from 4.2 to 4.5 [09:04] OpenClaw -- history, capabilities, and the security nightmare [15:30] Six core capabilities of OpenClaw (local-first, universal messaging, persistent memory, browser automation, system access, self-extending skills) [18:00] Why OpenClaw matters -- moving from dumb LLMs to personal AI agents [20:00] Security trade-offs -- 1.5M API keys exposed, malware in skills, Cisco tests [22:00] Claude Flow -- Danny's 11-engine operating system built inside Claude Code [24:26] The amnesia loop -- how sessions lose context and how ChromaDB fixes it [28:19] Why Claude MD, agents, and skills are not enough without hooks and triggers [32:40] Go deep on one platform -- stop chasing every new tool [35:35] Subash on helping sellers adopt Claude Code fundamentals (Claude MD, skills) [39:51] Wrap-up and contact info Key Takeaways Document before you automate -- If your business operations live in the founder's head and not on paper, any AI tool will amplify the chaos rather than fix it. Operational truth is the moat -- Clean inventory, accurate catalogs, honest cashflow reporting. Get these right before touching AI. One AI agent moved the needle -- A single customer support agent on TikTok raised a brand's satisfaction score from 4.2 to 4.5 in four weeks, directly improving store visibility. Persistent memory changes everything -- ChromaDB captures decisions, patterns, and project context across sessions so Claude compounds in usefulness over time (zero entries in session one, 1,700+ by session 25). Scaffolding beats raw building -- Danny's Claude Flow system means a project that took five days six months ago now takes 40 minutes. The investment in infrastructure pays exponential returns. OpenClaw is proof of concept, not production-ready -- Broad permissions, prompt injection vulnerabilities, exposed API keys. Wait for the open-source community to patch the holes before diving in. Pick one platform and go all the way in -- Chasing multiple AI tools means you learn none of them deeply and build nothing of value.
The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: Mastercard AI Payment Demo, Q&A (Darian Chwialkowski, Third Stage Consulting) Inside the Mission Control AI War Room Why Employees Are Quietly Resisting AI We also cover a number of other relevant topics related to digital and business transformation throughout the show.
This is a rebroadcast of Episode 245 from the Melissa and Lori Love Literacy Podcast – you can check out that episode here: https://podcasts.apple.com/ca/podcast/read-like-us-building-fluency-through-repeated-reading/id1463219123?i=1000748503901Make sure to check out the Literacy.io training on the Kat Framework for Comprehension this June!-June 24-25 in East Lansing Michigan-Individual registration available at: https://tamu.estore.flywire.com/products/cusp—the-reading-leagueliteracy10-participant-registration–412940-Group registration available at: https://tamu.estore.flywire.com/products/cusp—the-reading-leagueliteracy10-group-participant-registration–412945-More information available at literacy.io/contact Show Notes2:30 – What is Read Like Us? Overview of the five-step repeated reading protocol How it supports accuracy, automaticity, and prosody 4:10 – The Five Reads Explained Listening passage preview Echo reading Choral reading Partner reading Performance/independent reading 6:00 – Implementation in Classrooms Can it work in whole group settings? Small group intervention applications Working with paraprofessionals and volunteers 10:00 – Maximizing Reading Time Why 90% of intervention time should be actual reading The workout approach to building fluency Ensuring students are actually reading (not just holding books) 12:53 – How Read Like Us Differs from Traditional Approaches More than just “read three times and check for speed” Building all three components of fluency simultaneously The role of modeling and scaffolding 15:00 – Gradual Release of Responsibility Transferring task responsibility to students Why rate/speed wasn’t emphasized in coaching Automaticity as the outcome, not the input 18:00 – Prosody and Comprehension Expression as an indicator of understanding Using the Rasinski multidimensional fluency rubric Rotating focus areas: expression, phrasing, smoothness, pace 20:00 – Study Results Fourth grade students: 16.5 WPM growth in 50 days Effect size of 0.9 Improvements in accuracy, vocabulary, and comprehension measures 22:30 – Potential Comprehension Enhancement Adding a 10-word takeaway or gist statement Keeping it “fluency heavy, comprehension light” Future iterations of the protocol 25:30 – The Stacking Protocol Approach Learning from dissertation chair Dr. Kit Moore Combining multiple evidence-based practices Weaving the reading rope together 27:30 – Cost and Accessibility Read Like Us is free to implement Comparison with commercial tier-two interventions Open access article available 28:48 – Text Selection Philosophy The month-long process of curating 50 texts Using challenging and engaging content (100-200 words) Types included: giggle poetry, science facts, short stories with twists, weird state laws 30:30 – The “Challenging Text” Debate Using texts above grade level with proper scaffolding Addressing the 1960s neurological impress research Why modern research supports stretching students 33:17 – Texts Students Actually Want to Read Students asking to take intervention texts home Incorporating core reading program texts for continuity Balance between practical and engaging content 36:00 – Lexile Levels and Text Complexity Many texts in 6th-8th grade Lexile range for 3rd-4th graders Testing the hypothesis: Can struggling readers succeed in harder texts? Being “level agnostic” in text selection 39:00 – Rethinking Leveled Texts Limitations of the Lexile formula Starting with engaging content, not filter levels The scaffolding makes the difference, not the exact level 42:00 – Student Motivation and Text Choice Chase’s son reading adult-level joke books in first grade The power of “want to” over prescribed levels Teacher control vs. student self-selection 43:00 – Repeated Reading vs. Wide Reading Defining both approaches Why they shouldn’t be pitted against each other Read Like Us = repeated reading across wide array of texts 46:30 – Wide Reading and Teacher Control Students won’t achieve wide reading through self-selection alone The teacher’s role in exposing students to diverse genres Balancing instruction with student choice 48:00 – Benefits of Wide Reading Exposure to different language patterns across genres Informational vs. narrative text structures Building terrain navigation skills with various text types 49:00 – Getting Started with Read Like Us Start with tomorrow’s text Find the 200-300 word section with the most “oomph” Use what you already have in your classroom 50:21 – Closing Where to find the protocol and resources Final thoughts and wrap-up
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the AI wars, switching AI, and why relying on a single AI vendor can jeopardize your business continuity. You’ll discover how to build an abstraction layer that lets you swap models without rebuilding your workflows and see practical no‑code tools and open‑weight models you can use as a safety net. You’ll understand the essential documentation and backup practices that keep your AI agents running. Watch the full episode to protect 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-switching-ai-providers-backup-ai-capabilities.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, it is the AI Wars. Katie, you had some thoughts and some observations about the most recent things going on with Anthropic, with OpenAI, with Google XAI and stuff like that. So at the table, what’s going on? Katie Robbert: I don’t want to get too deep into the weeds about why people are jumping ship on OpenAI and moving toward the cloud. That’s in the news, it’s political, you can catch up on that. The short version is that decisions from the top at each of these companies have been made that people either agree with or don’t based on their own values and the values of their companies. When publicly traded companies make unpopular decisions that don’t align with the majority of their user base, people jump ship. They were like, okay, I don’t want to use you. We’ve seen it with Target and many other companies that made decisions people didn’t feel aligned with their personal values. Now we are seeing people abandoning OpenAI and signing on to Anthropic’s Claude. That’s what I wanted to chat about today because we talk a lot about business continuity and risk management. What happens when you get too closely tied to one piece of software and something goes wrong? We’ve talked about this on past episodes in theory because, up until now, software outages have generally been temporary. You don’t often see a mass exodus of a very popular piece of software that people have built their entire businesses around. Before we get into what this means for the end user and possible solutions, Chris, I would like to get your thoughts, maybe your cat’s thoughts on what’s going on. Christopher S. Penn: One of the things we’ve said from very early on in the AI space, because it changes so rapidly, is that brand loyalty to any vendor is generally a bad idea. If you were a hater of Google Bard—for good reason—Bard was a terrible model. If you said, I’m never going to touch another Google product again, you would have missed out on Gemini and Gemini 3 and 3.1, which is currently the top state‑of‑the‑art model. If you were all in on Claude, when Claude 2.1 and 2.5 came out and were terrible, you would have missed out on the current generation of Opus 4.6 and so on. Two things come to mind. One, brand loyalty in this space is very dangerous. It is dangerous in tech in general. Not to get too political, but the tech companies do not care about you, so there’s no reason to give them your loyalty. Second, as people start building agentic AI, you should think about abstraction layers. This concept dates back to the earliest days of computing: we never want to code directly against a model or an operating system. Instead we want an abstraction layer that separates our code from the machinery. It’s like an engine compartment in a car—you should be able to put in a new engine without ripping apart the entire car. If you do that well when building AI agents, when a new model comes along—regardless of political circumstances or news headlines—you can pull the old engine out, install the new one, and keep delivering the highest‑quality product. Katie Robbert: I don’t disagree with that, but that is not accessible to everybody, especially smaller businesses that view software like OpenAI or Google’s Gemini as desperately needed solutions. We’ve relied on Claude and Co‑Work, its desktop application, heavily. Over the weekend I realized how reliant I’ve become on it in the past two weeks. If it stopped working, what does that mean for the work I’m trying to move forward? That’s a huge concern because I don’t have the coding skills or resources to replicate it right now. What I’ve been doing in Co‑Work is because we’re limited on resources, but Co‑Work has advanced to the point where I can replicate what I would need if I hired a team of designers, developers, and marketers. It shook me to my core that this could go away. So what does that mean for me, the business owner, in the middle of multiple projects if I can’t access them? This morning Claude had an outage—unsurprisingly, the servers were overloaded because people are stepping away from OpenAI and moving into Claude. Claude released an ad: “Switch to Claude without starting over. Brief your preferences and context from other AI providers to Claude. With one copy‑paste, Claude updates its memory and picks up right where you left off. Memory is available on all paid plans.” For many people the ability to switch from one large language model to another felt like a barrier because everything built inside OpenAI couldn’t be transferred. Claude removed that barrier, opening the floodgates, and their servers were overloaded. Users who had been using the system regularly were like, what do you mean? I can’t get the work done I planned for this morning. Christopher S. Penn: There are two different answers depending on who you are. For you, Katie, as the CEO and my business partner, I would come over, say we’re going to learn Claude code, install the terminal application, and install Claude code router, which allows you to switch to any model from any provider so you can continue getting work done. Unfortunately, that isn’t a scalable option for everyone in our community. My suggestion for others is that it’s slightly harder but almost every major company has an environment where you can install a no‑code solution that provides at least some of those capabilities. Google’s is called Anti‑Gravity. OpenAI’s is called Codex. Alibaba’s can be used within tools like Client or Kil. If you have backed up your prompts and workflows, you can move them into other systems relatively painlessly. For example, Google’s Anti‑Gravity supports the skills format, so if you’ve built skills like the Co‑CEO, you can bring them into Anti‑Gravity. It’s not obvious, but you can port from one system to another relatively quickly. Katie Robbert: That brings us to the point that software fails—it’s just code. What is your backup plan if the system you’re heavily reliant on goes away? We’ve always said hypothetically, “if it goes away…,” and now we’re at that point. Not only are people leaving a major software provider, they are also struggling with switching costs. They’re struggling to bring their stuff over because everything lives within the system. A lot of people are building and not documenting, and that’s a problem. Christopher S. Penn: It is a problem. If you’ve been in the space for a while and understand the technology, backups and fallback systems have gotten incredibly good. About a month ago Alibaba released Quinn 3.5 in various sizes. The version that runs on a nice MacBook is really good—scary good. It’s about the equivalent of Gemini 3 Flash, the day‑to‑day model many folks use without realizing it. Having an open‑weights model you can install on a laptop that rivals state‑of‑the‑art as of three months ago is nuts. The challenge is that it’s not well documented, but it’s something we’ve been saying for two or three years: if you’re going all in on AI, you need a backup system that is capable. The good news is that providers like Alibaba, Quinn, Kimmy, Moonshot, and Jipu AI—many Chinese companies—ensure the technology isn’t going away. So even if Anthropic or OpenAI went out of business tomorrow, you have access to the technologies themselves. You can keep going while everyone else is stuck. Katie Robbert: If it’s not a concern for executives mandating AI integration, it should open eyes to the possibility of failure. Let’s be realistic—it’s not going to happen tomorrow, but it makes me think of the panic when Google Analytics switched from Universal Analytics to GA4. The systems aren’t compatible, data definitions changed, and companies lost historic data. Fortunately we had a backup plan. Chris, you always ran Matomo in the background as a secondary system in case something happened with Google Analytics, so we still had historic data. We’re at a pivotal point again: if you don’t have a backup system for your agentic AI workflows, you’re in trouble. Guess what? It’s going to fail, it will come crashing down, and you won’t know what to do. So let’s figure that out. Christopher S. Penn: If you’re building with agentic autonomous systems like Open Claw and its variants and you’re not building on an open‑weights model first, you’re taking unnecessary risks. Today’s open‑weights models like Quinn 3.5 and Minimax M2.5 are smart, capable, and about one‑tenth the cost of Western providers. If you have a box on your desk, you can run your life on it. You’d better use a model or have an abstraction layer that allows you to switch models so you can continue to run your life from this box. I would not rely on a pure API play from one major provider because if they go away, the transition will be rough. Now is the best time to build that level of abstraction. If you’re using tools like Claude code or other coding tools, you can have them make these changes for you. You have to be able to articulate it, and you should articulate with the 5B framework by Trust Insights. Once you do that, you can be proactive about preventing disasters. Katie Robbert: Is that unique to coding tools or does it also apply to chats and custom LLMs people have built? Obviously we have background information for Co‑CEO well documented, but let’s say we didn’t. Let’s say we built it and it lived as a skill somewhere. That’s a concern because we’ve grown to heavily rely on that custom agent. What if Claude shuts down tomorrow? We can’t access it. What do we do? Christopher S. Penn: The Co‑CEO—those fancy words like agents and skills—they’re just prompts. You can take that skill, which is a prompt file, fire up Anything LLM, turn on Quinn 3.5, and it will read that skill and get to work. You can do that in consumer applications like Anything LLM, which is just a chat box like Claude. The only thing uniquely missing right now is an equivalent for Claude Co‑Work, but it won’t be long before other tools have that. Even today you can use a tool like Klein or Kelo inside Visual Studio Code, install those skills, and have access to them. So even with Co‑CEO, you can drop that skill because it’s just a prompt and resume where you left off, as long as you have all data backed up and not living in someone else’s system, and you have good data governance. The tools are almost agnostic. All models are incredibly smart these days, even open‑weights models. I saw an open‑weights model over the weekend with 13 billion parameters that runs in about 12 GB of VRAM, so a mid‑range gaming laptop can run it. Co‑CEO Katie could live on perpetuity on a decent laptop. Katie Robbert: But you have to have good data governance. You need backups and documentation, then you can move them to any other system to make it more tool‑agnostic. If you don’t have good data governance or the basic prompts you’re reusing, we’ve been talking about this since day one. What’s in your prompt library? What frameworks are you using? What knowledge blocks have you created? If you don’t have those, you need to stop, put everything down, and start creating them, because you’ll be in a world of hurt without the basics. If you have a custom GPT you use daily, is it well documented—how it works, how it’s updated, how it’s maintained—so that if you can no longer subscribe to OpenAI, you can move to a different system. Katie Robbert: That move, especially if you’re using client‑facing tools, is not going to be overly traumatic. It’s not going to bring everything to a screeching halt. Many companies think everything will halt, but we haven’t explored personally what Claude meant by a copy‑paste migration. It feels like an oversimplification of what you actually have to do to replicate your system in Claude. Katie Robbert: But the fact they’re thinking about it, knowing people are panicking, is a good thing for Claude. It’s probably more complicated. The more you build, the deeper you are in the weeds, the more complicated it will be to port everything over. That’s why, as you build, you need documentation. Katie Robbert: That’s for nerds. Katie Robbert: I’m a nerd. I need documentation because it makes my life easier. You’re the first to ask, “where’s the documentation?” Do you have the PRD? Do you have the business requirements? I’m not touching anything until we have that. It makes me incredibly happy because look how much more you’ve accomplished with these systems and how zero panic you have about the AI wars—you can use whatever system you feel like that day. Christopher S. Penn: Exactly. For folks listening, you can catch this on YouTube. This is my folder of all stuff—my Claude environment. It lives outside of Claude, on my hard drive, backed up to Trust Insights’ Google Cloud every Monday and Friday. It includes agents, document reviewers, the CFO, Co‑CEO, Katie, documentation, rules files for code standards, reference and research knowledge blocks, individual skills, and a separate folder of knowledge blocks. All of this lives outside any AI system—just files on disk backed up to our cloud twice a week. So no matter what, if my laptop melts down or gets hit by a meteor, I won’t lose mission‑critical data. This is basic good data governance. No matter what happens in the industry, if all the Western tech providers shut down tomorrow, I can spin up LM Studio, turn on the quantized model, and run it on my computer with my tools and rules. Our business stays in business when the rest of the world grinds to a halt. That will be a differentiating factor for AI‑forward companies: have a backup ready, flip the switch, and we’re switched over. Katie Robbert: If we look at it in a different context, it’s like the panic when a human decides to leave a company. You have that two‑week window to download everything they’ve ever done—wrong approach. It’s the same if you don’t have documentation for a human and no redundancy plan. If Chris wants to go on vacation, everything can’t come to a screeching halt. We’ve put controls in place so he can step away. We want that for any employee. Many companies don’t have even that basic level of documentation. If each analyst does a unique job and no one else can do it, you have no redundancy, no backup plan. If that analyst leaves for a better job, clients get mad while you scramble. It’s the same scenario with software. Christopher S. Penn: Now that’s a topic for another time, but one thing I’ve seen is the less you as an individual have fair knowledge, the more irreplaceable you theoretically are. That’s not true. Many protect job security by not documenting, but if everything is well documented, a less competent match could replace you. We saw Jack Dorsey’s company Block cut its workforce by 5,000, saying they’re AI‑forward. There’s a constant push‑pull: if you have SOPs and documentation, what’s to stop you from being replaced by a machine? Katie Robbert: I say bring it. I would love that, but I’m also professionally not an insecure human. You can’t replace a human’s critical thinking. If the majority of what you do is repetitive, that’s replaceable. What you bring to the table—creativity, critical thinking, connecting the dots before AI, documentation, owning business requirements, facilitating stakeholder conversations—is not easily replaceable. If Chris comes to me and says I’ve documented everything you do, and we give it all to a machine, I would say good luck. Christopher S. Penn: Yeah, it’s worth a shot. Christopher S. Penn: All right. To wrap up, you absolutely should have everything valuable you do with AI living outside any one AI system. If it’s still trapped in your ChatGPT history, today is the day to copy and paste it into a non‑AI system, ideally one that’s shared and backed up. Also, today is the day to explore backup options—look for inference providers that can give you other options for mission‑critical stuff. No matter what happens to the big‑name brands, you have backup options. If you have thoughts or want to share how you’re backing up your generative and agentic AI infrastructure, join our free Slack group at Trust Insights AI Analytics for Marketers, where over 4,500 marketers—human as far as we know—ask and answer each other’s questions daily. Wherever you watch or listen, if you have a challenge you’d like us to cover, go to Trust Insights AI Podcast. You can find us wherever podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Katie Robbert: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, 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 data, AI, and machine learning to drive measurable marketing ROI. Services span developing comprehensive data strategies, deep‑dive marketing analysis, building predictive models with tools like TensorFlow and PyTorch, and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology, Martech selection and implementation, and high‑level strategic consulting. Encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic, Claude, DALL‑E, Midjourney, Stable Diffusion, and Meta Llama, Trust Insights provides fractional team members such as CMO or data scientist to augment existing teams. Beyond client work, Trust Insights contributes to the marketing community 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 its focus on delivering actionable insights, not just raw data. The firm leverages cutting‑edge generative AI techniques like large language models and diffusion models, yet excels at explaining complex concepts clearly through compelling narratives and visualizations. Data storytelling and a commitment to clarity and accessibility extend to educational resources that 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 midsize 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 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.
Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com **Request Tickets Via Text At (918) 851-0102 See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/
Description: Hosts Roz and Dr. Sanchez-Fueyo are joined by Justin Barr to discuss the key articles of the March issue of the American Journal of Transplantation. Justin Barr practices abdominal transplant and advanced hepatobiliary surgery at Ochsner Medical Center [03:13] Implementation of a physician assistant-led recovery model for heart transplantation: Clinical outcomes and programmatic benefits at a high-volume center [13:54] A 100-year simulation of the National Kidney Registry's voucher program [25:32] Risk of deficient mismatch repair colorectal cancer and precursors after kidney transplantation: A nationwide study [35:09] Predictive value of torque teno virus viral load for BK polyomavirus DNAemia depends on BK polyomavirus–specific humoral immunity in kidney transplant recipients [42:50] Suppression of cardiac allograft vasculopathy by a macrophage efferocytosis receptor
In this episode, featuring a webinar we ran this week, Tara Elie and Dr James Mannion explore a question that many school leaders are quietly wrestling with: Why do so many behaviour initiatives fail to deliver sustained change? Across the system, the signals are hard to ignore – rising suspensions, internal removals, persistent absence, staff exhaustion, and a growing sense that behaviour reform is absorbing huge energy without always shifting underlying patterns. In this conversation, we argue that two critical ideas are largely missing from the behaviour debate: - The psychology of mattering - Implementation and improvement science When combined, these lenses offer a more systemic, more hopeful way forward. Part 1: The psychology of mattering Tara introduces the concept of mattering, drawing on the work of Morris Rosenberg and contemporary positive psychology. Mattering has two components: feeling valued, and adding value. We explore: - The difference between mattering and self-esteem - What staff mattering looks like in practice - What “anti-mattering” feels like in schools - The emotional and behavioural consequences of quiet disengagement - Why belonging is an outcome of mattering – not the target itself We discuss how staff who feel unseen, unheard or replaceable may withdraw effort, reduce collaboration, and disengage in subtle but powerful ways. Conversely, when staff feel significant and influential, resilience, agency and motivation follow. The same applies to students. Part 2: Why behaviour reform so often stalls James explores a sobering question: What proportion of school improvement initiatives actually improve outcomes in a sustained way? We examine two core reasons change efforts frequently falter: - Teachers and leaders are rarely taught how to implement change effectively - Schools default to top-down, “black box” leadership models We unpack the risks of: - Compliance cultures - Groupthink - ‘Us and them' dynamics - Initiative fatigue And we introduce a more transparent alternative: the slice team – a representative cross-section of the school community that improves decision-making and strengthens buy-in. Root cause analysis: looking beneath the surface We then turn to a practical example. A widely cited statistic suggests that seven minutes out of every thirty are lost to low-level disruption. Rather than treating this as a behaviour problem alone, we demonstrate how to conduct a root cause analysis: - Identifying the trunk (the presenting issue) - Mapping the consequences - Investigating the roots across physical, emotional, relational, cognitive, behavioural and navigational domains The key insight: the same visible behaviour can arise from very different root systems. Behaviour reform without diagnosis is guesswork. Key ideas explored: - Mattering as a driver of culture - Anti-mattering and quiet withdrawal - Why belonging runs downstream of mattering - Black box vs glass box leadership - Slice teams as a mechanism for distributed ownership - Root cause analysis in school improvement - Why policy launch is not implementation - Habit change and “tight but loose” planning If behaviour is live in your context We are currently offering 20-minute Behaviour Strategy Calls for school leaders who would value a structured diagnostic conversation about behaviour, mattering and implementation. You can book here: https://calendly.com/rethinkingjames/chat-with-tara-james Further resources Download the Rethinking Behaviour guide - https://www.makingchangestick.co/rethinking-behaviour-free-guide Explore implementation science tools from Making Change Stick - https://www.makingchangestick.co
Watch This NEXT: https://youtu.be/FA8kGL3JXx8 Apply to Work with Voics: https://www.voics.co/schedule-youtube Join Aura: https://www.aura-app.ai/ 00:00 Hosting the Biggest Mastermind in Bali 01:27 The 3 I's: Imitation, Infrastructure, Implementation 03:13 Choosing the Right Clients & Setting Boundaries 06:45 Bad Coaching Experiences & Why Care Matters 10:16 How to Scale Care (Without Burning Out) 11:00 Results Over Mechanisms: Scaling Apex & Aura 14:22 Finding Your “Thing” & Building Around Your Strengths 16:28 Team, Leadership & Culture as the Real USP 24:20 Why Young Entrepreneurs Should Develop Skills First 27:40 Life Experience, Mentorship & Personal Growth 30:22 Content That Lowers Cognitive Load & Raises Curiosity 35:48 Why More Work Isn't Real Scaling 37:20 Do the Unscalable to Scale 41:20 Building an AI Companion With Philosophy 44:33 Integration vs Information: The Real Power of the Mastermind 46:29 Live Offer Execution & Closing in the Room 51:21 Sales, Leadership & Clear Next Steps 53:32 Why Female Entrepreneurs Often Outperform 55:31 Mentorship vs Consulting vs Coaching 56:57 Ego, Bias to Action & “Dumbass Energy”Support the show
This episode features the 2025 ASHP Best Practice Award winning team at the Veterans Administration (VA), recognized for a program focusing on pharmacist-led pharmacogenomics testing. Listeners will learn how the VA started and expanded the program including how they trained pharmacists, implemented the program, and expanded access to patient care. The information presented during the podcast reflects solely the opinions of the presenter. The information and materials are not, and are not intended as, a comprehensive source of drug information on this topic. The contents of the podcast have not been reviewed by ASHP, and should neither be interpreted as the official policies of ASHP, nor an endorsement of any product(s), nor should they be considered as a substitute for the professional judgment of the pharmacist or physician.
Leading with Heart: Transforming Organizational Culture through Alignment and TrustIn a world where organizational trust is at an all-time low and executive burnout has become the silent epidemic of the boardroom, the need for heart-centered leadership is no longer a "soft" luxury—it is a strategic necessity. In a recent episode of The Thoughtful Entrepreneur Podcast, host Josh Elledge sat down with Hanna Bauer, the Founder and CEO of heartnomics, to discuss a revolutionary approach to professional excellence. Drawing from her harrowing personal journey of surviving terminal heart disease through a pioneering medical procedure, Hanna offers a perspective on leadership that integrates the precision of Six Sigma with the profound empathy of servant leadership. Their conversation serves as a roadmap for founders and executives who are ready to trade the "hustle at all costs" mentality for a high-performance culture rooted in rhythm, connection, and joy.The BEAT Framework: Harmonizing People, Purpose, and PerformanceModern organizations are often plagued by systemic misalignment, where 71% of digital transformations fail not because of the technology, but because of a lack of people readiness. Hanna addresses this by shifting the leadership metaphor from a linear "input-output" machine to a dynamic, synchronized dance. When a leader finds their "rhythm," they move beyond merely managing tasks and begin to foster psychological safety, allowing for honest dialogue and innovation without fear of retribution. This transformation requires the courage to perform a "cultural audit," using root cause analysis to identify outdated processes or toxic mindsets that no longer serve the organization's mission. By "burning away" these inefficiencies, leaders create the necessary space for new, healthy pathways of communication and collaboration to flourish.To bridge the gap between high-level vision and daily execution, Hanna introduces the BEAT framework: Belief, Engage, Act, and Transform. This model emphasizes that true excellence begins with a clarity of values (Belief) that must be authentically shared with the team (Engage) before purposeful execution (Act) can lead to sustainable change (Transform). For the 60% of leaders currently reporting symptoms of burnout, this framework provides a method to reduce cognitive overload by focusing on "less, but better." By prioritizing initiatives that align strictly with core values, leaders can normalize self-care and boundaries within their teams, ensuring that the organization maintains its focus on its "internal customers"—the employees who drive the brand's success.Implementation of this heart-centered approach starts with small, intentional "mini shifts" rather than overwhelming overhauls. Hanna suggests that leaders should act as facilitators of joy, creating rituals that celebrate wins and invite diverse perspectives into every decision-making process. This commitment to transparency and consistency builds the foundation of trust necessary to navigate times of uncertainty. When an organization's systems and processes are designed to serve human needs, the results are seen not just in the bottom line, but in the retention of top talent and the creation of a workplace where excellence and fulfillment exist in perfect harmony.About Hanna BauerHanna Bauer is the Founder and CEO of heartnomics, a keynote speaker, and an executive coach dedicated to heart-centered leadership. After a life-saving, experimental heart surgery, she dedicated her career to helping leaders align their passion with their performance, using her unique "HEARTnomics" philosophy to drive organizational transformation.About heartnomicsheartnomics is a consulting and coaching firm that specializes in organizational alignment, trust-building, and leadership development. The company provides holistic audits and frameworks—including the BEAT and CORE models—to help businesses identify systemic issues and foster a culture of excellence, purpose, and servant leadership.Links Mentioned in This Episodeheartnomics Official WebsiteHanna Bauer on LinkedInConclusionThis conversation with Hanna Bauer highlights that the most resilient organizations are those that prioritize the human element. By auditing your culture for alignment and having the courage to lead with vulnerability, you can transform your leadership from a source of stress into a source of inspiration.Key Episode Highlights:Leadership as Rhythm: Why syncing with your team is like a dance that requires constant connection and shared joy.The Trust Foundation: Addressing the critical statistics of organizational distrust and how transparency serves as the ultimate remedy.The "Hustle with Heart" Shift: Moving away from linear input-output thinking to recognize the complexity of human-centered work.Systemic Auditing: Using tools like root cause analysis to identify why talent leaves and where engagement drops.Mini Shifts for Big Impact: The power of making small, weekly adjustments to reinforce new, healthy leadership habits.More from The Thoughtful Entrepreneur
In this episode, Alex Julian discusses his journey into classical education, his teaching philosophy, and the insights he gained from his time at Arcadia. The conversation delves into the Classical Baccalaureate program, its significance in addressing gaps in the current educational landscape, and the demand for such an initiative among educators and parents. Alex outlines the foundational principles of the program and shares the timeline for its implementation, emphasizing the importance of creating a high-quality educational offering that resonates with both students and colleges.TakeawaysAlex Julian's background includes Montessori education and Catholic schooling.Many classical educators share a common experience of lacking classical education in their youth.Teaching is fulfilling due to the enthusiasm and insight of students.The classical education movement is growing rapidly, attracting dedicated individuals.There are significant gaps in training for those starting classical schools.Classical Baccalaureate aims to provide an alternative to AP and IB programs.The program seeks to validate the rigor of classical education in college admissions.Parents desire a curriculum that prepares their children for citizenship in a democratic republic.The program will incorporate deep seminar work and senior thesis projects.Implementation will be gradual, focusing on quality and selectivity in pilot schools.titlesReviving Classical Education with Alex JulianThe Journey to Classical BaccalaureateChapters00:00Introduction to Classical Education and Alex Julian01:42Personal Journey into Classical Education05:02Teaching Philosophy and Experiences06:49Insights from Arcadia and the Growth of Classical Education08:25The Concept of Classical Baccalaureate14:01Demand for Classical Baccalaureate and Its Importance17:20Defining Classical Baccalaureate22:55Foundational Principles of Classical Baccalaureate26:38Implementation Timeline and Future Plans
Knowing what to do has never been the real problem. Doing it has. In this episode of The FutureProof Advisor, I explore the uncomfortable gap between awareness and action — the space where most progress quietly dies. Whether it's a simple Amazon box that sits untouched for days or a strategic shift in an advisory firm that never quite gets implemented, the barrier isn't information. It's psychology. Our brains are wired for short-term comfort, not long-term transformation.We talk about why conferences, podcasts, and new tools often create the illusion of progress without real change. Drawing from behavioral science research, I unpack why goals alone don't move behavior — systems do. Implementation requires clarity around when and how something will happen, not just why it should. Firms don't stagnate because they lack ideas. They stall because they never build the structure that turns insight into habit.Future-proofing isn't about accumulating more knowledge or investing in more technology. It's about designing environments that make the right action the easy action. When motivation, ability, and prompts align, change becomes inevitable. When they don't, even the smartest teams stay stuck — not from lack of intelligence, but from lack of intentional execution.
Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com **Request Tickets Via Text At (918) 851-0102 See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/
Bioneers: Revolution From the Heart of Nature | Bioneers Radio Series
Scientific evidence is increasingly supporting the theory that the Earth is alive and replete with intelligence. In fact, the wild diversity of earthly organisms exhibits the characteristics that human beings attribute to personhood. How is it then, by the law, that a corporation is a person, but nature is not? What if we expand the anthropocentric boundaries of our systems of laws, rights and responsibilities to encompass ALL living beings? How would this new legal story affect our relationship with our vast other-than-human Earth family? In this episode, we imagine a planet with rights for all, with visionary lawyer César Rodríguez-Garavito. This is an episode of Nature's Genius, a Bioneers podcast series exploring how the sentient symphony of life holds the solutions we need to balance human civilization with living systems. Visit the series page to learn more. César Rodríguez-Garavito, a Professor of Clinical Law, Chair of the Center for Human Rights and Global Justice, and founding Director of the More Than Human Life (MOTH) Program and the Earth Rights Advocacy Program (all based at NYU School of Law), is a human rights and environmental justice scholar and practitioner whose work and publications focus on climate change, Indigenous peoples' rights, and the human rights movement. Resources More-Than-Human-Life (MOTH) Report Assessing the Implementation of the Los Cedros Ruling in Ecuador | MOTH César Rodríguez-Garavito – More-Than-Human Rights: Pushing the Boundaries of Legal Imagination to Re-Animate the World | Bioneers 2025 Keynote Deep Dive: Intelligence in Nature Earthlings: Intelligence in Nature | Bioneers Newsletter Credits Executive Producer: Kenny Ausubel Written by: Cathy Edwards and Kenny Ausubel Producer: Cathy Edwards Senior Producer and Station Relations: Stephanie Welch Producer: Teo Grossman Associate Producer: Emily Harris Host and Consulting Producer: Neil Harvey Production Assistance: Mika Anami Graphic Designer: Megan Howe
The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: Microsoft's Bundling Regulatory Issues, Q&A (Darian Chwialkowski, Third Stage Consulting) Who Are the Best System Integrators In the Market (Guest, Third Stage Consulting) SAP RISE We also cover a number of other relevant topics related to digital and business transformation throughout the show.
Join us March 4 for a free web class with Matt Risinger on attracting reliable staff during a skilled labor shortage. Register now: https://trybta.com/HIMR26To learn more about Breakthrough Academy, click here: https://trybta.com/EP261 Grab your free Project Manager Hiring Resources here: https://trybta.com/DL261Most contractors don't struggle to find work. They struggle to find the right people to run it.In this episode of Contractor Evolution, we're releasing a talk Danny did at Build Show Live. In just 60 minutes, he breaks down the exact recruiting system he's seen hundreds of contractors use to hire highly successful project managers across various industries.This conversation is a deep dive into why most PM hires fail, why “posting a job and hoping” no longer works, and how to build a recruiting funnel that consistently attracts A-players — even in a tight labor market.Danny walks through:How to define an Ideal Project Manager Profile (and why most contractors skip this step)Why most job ads repel top talent, and how to rewrite them to stand outThe 20-minute interview setup call that eliminates no-shows and bad fitsHow to run behavioral interviews that reveal how someone performs under pressureActive recruiting tactics that give you control instead of waiting on resumesWhen it actually makes sense to use recruiters (and when it doesn't)If hiring a strong Project Manager would unlock growth, reduce stress, or finally get you out of the day-to-day, this episode will change how you think about recruiting.00:00-Intro01:01-Four Principles of Project Management and Danny's Background04:04-Red Flags and The Four Systems to Discuss07:36-Employment Agreements, KPIs and Goal Setting & Review (GSR)20:33-Project Communication Plan and Status Updates29:49-Proper Use of Software and Hiring Project Managers37:58-Growth Seen in Breakthrough Academy Businesses and The Contractor Growth Method42:19-Takeaways, Implementation and Audience Questions
PsychopharmaPearls is NEI's focused podcast series highlighting the clinical insights that can sharpen your prescribing decisions. In this episode, Dr. Andy Cutler talks with Dr. Lisa Harding about how to choose between IV ketamine and intranasal esketamine for patients with difficult-to-treat depression. They unpack the differences that truly matter in practice—from patient selection and monitoring to access, cost, and common missteps. Tune in for practical pearls you can immediately apply to select the right treatment for the right patient. Lisa Harding, MD is a board-certified psychiatrist and nationally recognized depression specialist with deep expertise in interventional psychiatry. She has performed more than 4,000 procedures, including electroconvulsive therapy (ECT), intravenous ketamine, intranasal esketamine, and transcranial magnetic stimulation (TMS). Dr. Harding is known for her thoughtful approach to complex, treatment-resistant depression, integrating advanced somatic therapies, psychopharmacology, and psychotherapy. She serves as an Assistant Clinical Professor of Psychiatry at Yale University in New Haven, Connecticut. Andrew J. Cutler, MD is a leading psychiatrist, psychopharmacology expert, and clinical researcher with decades of experience in CNS drug development. As Chief Medical Officer of Neuroscience Education Institute and EMA Wellness, he brings frontline clinical insight together with deep knowledge of the evidence base. Dr. Cutler is widely recognized for translating research into practical guidance for everyday practice and serves as a Clinical Associate Professor of Psychiatry at SUNY Upstate Medical University in Syracuse, New York. Resources Sanacora G et al. A Consensus Statement on the Use of Ketamine in the Treatment of Mood Disorders. JAMA Psychiatry 2017;74(4):399-405. doi:10.1001/jamapsychiatry.2017.0080 McIntyre RS et al. Synthesizing the Evidence for Ketamine and Esketamine in Treatment-Resistant Depression: An International Expert Opinion on the Available Evidence and Implementation. Am J Psychiatry 2021;178(5):383-399. doi:10.1176/appi.ajp.2020.20081251 Save $100 on registration for 2026 NEI Spring Congress with code NEIPOD26 Register today at nei.global/spring Never miss an episode!
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss why most Q1 plans stall and how hidden fear holds teams back. You’ll learn simple ways to turn a big roadmap into tiny actions you can start. You’ll discover how generative AI can suggest low‑risk steps that keep momentum without a big budget. You’ll explore how to break the blame cycle and build real progress even in risk‑averse companies. Watch the episode to start moving your plan forward. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-gap-between-planning-execution.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week's In-Ear-Insights—welcome from Snowmageddon. For folks listening later, it is the week of the big blizzard in the Northeast U.S., so we are all shoveling, but we're not talking about shoveling today. Well, we kind of are. We are talking about planning and execution. Mike Tyson famously said no plan survives getting punched in the mouth. And Katie, you recently asked in the Analytics for Marketer Slack group—join at Trust-Insights, AI analytics for marketers—how Q1 planning was going, and everyone said it isn't. You had thoughts about where that gap is between doing the plan and executing it. The character Leonard from *Legends-Tomorrow* has been quoted: “Make the plan, execute the plan, watch the play go off the rails, throw away the plan,” because that's how things go. So talk to me about why planning and reality don't match up so often. Katie Robbert: I started this question tongue‑in‑cheek: “How are all those fancy Q1 roadmap PowerPoints you spent weeks on in meetings doing?” I didn't expect the response—most are still sitting in SharePoint or largely untouched. The bottom line is that no one's really done anything. That's a trend across any industry, any vertical, any department, because making the plan is the easy part. Executing the plan feels risky, unsafe, unknown. I saw a post last week from our friend Paul Rotzer at Smarter-X, where he outlined eight stages companies go through when evaluating and adopting AI; most are stuck at one or two. My comment was that this is because of an unacknowledged fear from leadership—fear that by doing something they become irrelevant or that they'll get it wrong and be exposed. When we ask why we do all this planning and nothing happens, it comes down to unacknowledged fear. My hypothesis: I can get the best running shoes, put together a sophisticated training plan for a couch‑to‑5K, tighten my nutrition, get plenty of rest—yet that's just a plan. I still have to do it, to put one foot in front of the other. The scary part is, what if I fail? What if the plan doesn't work? What if I hurt myself, look silly, embarrass myself? Those thoughts creep up. In a larger, publicly traded organization with many eyes on every move, that fear is real. We can make plans, set goals, have expectations—but what if we act and it doesn't work? What if the wrong move is noticed? Christopher S. Penn: I like that analogy because there are externalities, too. We made the plan, got the running shoes, and now there are two feet of snow outside. “Okay, I guess I'm not going running”—a convenient excuse unless you own a treadmill. One of the things that seems true today is that planning requires some predictability to say, “Here's the plan.” Even with scenario plans—best case, worst case, middle—you still get wacky curveballs, like a sudden tariff wheel spin. As much as there are internal fears—afraid of failing, reluctant to stick your neck out—there are externalities: crazy events that render the plan obsolete. Let's flip this. You have the plan; maybe it's still valid, maybe it isn't. What does someone do to say, “Okay, I need to do at least one thing in the plan because I have ideas,” while hearing your perspective? Katie Robbert: Before we get into that, I want to acknowledge those externalities. In the running example, saying “the snow is a convenient excuse” takes accountability off you, so you're no longer at fault. Humans love to pass accountability to someone or something else—“It wasn't my fault; I couldn't run because it was snowing.” Then we ask, “Did you stretch? Did you do anything else?” The same pattern shows up in larger organizations: “The economy,” “the wind changed,” “someone said something weird,” “I'm superstitious.” Those become blanket excuses that shift blame. That's why doing the first thing is the biggest hurdle. Companies often set the bar too high—“I need to increase revenue by 20%.” They look for one magical thing to achieve that goal, but it isn't how it works. The real path is cumulative—task after task, every task, that gets you to the finish line. If you can't run because of two feet of snow, ask yourself, “Is running the only thing that gets me to a couch‑to‑5K?” Probably not. Dig deeper for smaller milestones—bite‑sized actions you can take. People often resist because they've already made a plan and don't want to redo it. Christopher S. Penn: My solution, which removes excuses, is to put the plan into your AI of choice and ask, “What's the first step I can take today toward this plan?” Acknowledge how the plan should adapt, but focus on the immediate action. For example, if you can't safely run, you might do leg squats to start strengthening muscles, so when you can run you'll be in better condition. That pushes accountability back onto you and gives you a bite‑size start. Planning has always been about agility—agile versus waterfall. Today's AI tools let you pivot on a dime. You can say, “Here's the Q4 with the Q1 plan, here's everything that has changed,” and then dictate new directions. Ask the AI for three to seven ideas for pivoting so you can still hit the 20% revenue increase target. These tools can suggest alternatives when, say, social media burns to the ground but you still have an email list, or when you haven't tried text messaging yet. Katie Robbert: At Trust-Insights we have an open, transparent culture. I'm all for experimentation as long as it's acknowledged. “I'm going to try this thing, here's the cost.” Not everyone has that luxury. Imagine a VP of marketing tasked with increasing website traffic by 30% and generating enough new MQLs to keep the sales team happy. Social media isn't the answer; email is exhausted. You look at higher‑cost options—paid ads, SMS texting. Those require software, time to find opted‑in phone numbers, and budget. That's where the fear comes in: a long list of options, but you have to justify the budget and risk failure. Christopher S. Penn: In scenario planning, you say, “The goal is a 20% revenue increase. This is what it will cost to get there. Stakeholder, is this still the goal?” If the stakeholder can't give you the budget, you can't achieve the plan. You might say, “With $500 I can get you 4% of the goal,” but the full goal requires more. You've done due diligence: the company's goal is set, but the reality is limited resources. It's like wanting to drive 500 miles with only a gallon of gas—you can't make the car use less gas to cover that distance. Katie Robbert: I'll challenge you to imagine you have no authority to push back on stakeholders. You can't simply say, “I can't do this.” You have to have the conversation—no excuses. In many organizations, the response is, “I don't want to hear excuses; we have to hit our numbers.” Christopher S. Penn: I've been in that situation. The typical response is to shift blame quickly, document everything, and blame the stakeholder to their boss. That's the solution that worked at AT&T, Lucent, and other large corporations. It goes back to why plans aren't executed: if you have no role, authority, or relationship power to change the plan, your best bet to keep your job is to deflect blame to someone else, ideally the stakeholder, as fast as possible. Katie Robbert: That's one of the worst answers you've ever given me. Christopher S. Penn: Putting myself in that position—I've been there, and that's exactly what you do to survive in big corporate America. Katie Robbert: If you get receipts but still have to do something, you can't just sit at your desk twiddling your thumbs. What do you actually do? Christopher S. Penn: Do you really want the answer? You call as many meetings as possible throughout the quarter so it looks like you're doing something. You send lots of emails, create fake activity that's considered acceptable in corporate America—“We're having a meeting to plan about the plan,” “We're having a pre‑meeting for the meeting.” That's why so little gets done, especially in risk‑averse organizations: everyone's energy is spent covering their own backs, so no one takes a real step forward. You cover your butt by saying, “I'm calling meetings, we're looking busy, we're talking about the plan for the plan.” Do you get anything done? No. Do you make progress toward your plan? No. Do you have something for your annual review that looks good? Yes. That's why many organizations are stuck on rung one of the AI ladder. In a place like Trust-Insights, I can say, “I'm going to do this thing.” It might spectacularly implode, but as long as it doesn't financially endanger the company or cause reputational harm, it's fine. That's why startups can challenge incumbents—they don't have the calcified bureaucracy of blame deflection. You can try something that might not work, but you'll try it anyway because you can. In risk‑averse, fear‑driven organizations, that never happens. That's why many talk about side hustles. When we started Trust-Insights, we had a side hustle because the corporate side fired people at the first sign of a 1% goal decline. With Trust-Insights now, I don't need a side hustle. Everything we do redirects back to Trust-Insights. We don't have a culture of fear that stops us from trying things. If I'm in a gray cubicle, my goal is to survive another day until the next paycheck. That's fair, and many people find themselves in that position. Katie Robbert: Back to AI tools: there is a way to at least try. We put a plan together and ask, “Who's going to execute it?” We're a four‑person team with big dreams and expectations, but the reality is we're still underwater. I open a chat in Gemini or Claude and say, “Here are my restrictions—zero budget. What can I do that's low risk, won't damage our reputation, and won't take a million hours?” These tools excel at pattern recognition, finding that tiny piece of information the human is blind to because they're too close. For example, we might be over‑indexed on our email list. Is there anything else we haven't done with email? That channel is still under our control. Could we draft copy for ads we can't run yet? Could we draft newsletter outreach even if we can't send it today? Is our newsletter list clean and ready? Those are low‑risk steps that keep the plan moving forward without exposing us to investors for a failed experiment. Christopher S. Penn: Exactly. For folks who feel stuck with no role power or relationship power, generative AI can help. If you can find $20 a month for a paid tool, great. It's never been easier to start a side hustle—no need to learn programming. If you have a good idea and are willing to invest time outside of work on your own hardware, now is the best time to try creating something. It may not work, but it's better than feeling stuck and powerless. If your plan feels like it's moving at 900-mph off a cliff, the tools are out there. If you have the willingness to take a little risk outside your day job, give it a shot. Katie Robbert: I keep trying to pull people back into their day jobs and help them find solutions because not everyone has time for a side hustle. Many are working parents or have a second job. This morning I asked, “What is one thing I can do today that won't take much time or budget but helps me keep moving forward?” One suggestion was to update CRM records. Marketing plans often require good, clean data. If you can't afford paid ads, are you ready to run them when you can? Look internally: do we have the best possible data? Is it clean? Is it ready? Can I draft copy for ads or newsletters even if we can't launch them yet? Those are low‑risk actions that keep momentum. Christopher S. Penn: The other thing to consider for those with no role or relationship power is that generative AI can be a low‑cost ally. If you can spend $20 a month on a paid tool, you have a new avenue to create value. Katie Robbert: My challenge to anyone stuck in Q1 plans—or any quarter—is to dig deep and ask, “What is one low‑risk, low‑resource thing I can do?” Is the data hygiene ready? If you were granted all the budget today, would you be ready to execute? Find those things, and you'll keep moving forward. Once you start that momentum—one foot in front of the other—it's easier to keep going. Christopher S. Penn: Absolutely. Christopher S. Penn: If you have thoughts on how you're getting unstuck, no matter the quarter, pop by our free Slack group—Trust-Insights-AI analysts for marketers—where over 4,500 marketers ask and answer each other's questions every day. You can also find us on the Trust-Insights-AI podcast, available wherever podcasts are served. Thanks for tuning in. We'll talk to you on the next one. Katie Robbert: Want to know more about Trust-Insights? Trust-Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher-S.-Penn, the firm is built on the principles of truth, acumen, and prosperity, helping organizations make better decisions and achieve measurable results through a data‑driven approach. Trust-Insights specializes in helping businesses leverage data, AI, and machine learning to drive measurable marketing ROI. Services span comprehensive data strategies, deep‑dive marketing analysis, predictive models using tools like TensorFlow and PyTorch, and optimizing content strategies. We also offer expert guidance on social‑media analytics, marketing technology, MarTech selection and implementation, and high‑level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google-Gemini, Anthropic, Claude, DALL‑E, Midjourney, Stable Diffusion, and Meta-Llama. Trust-Insights provides fractional team members—CMOs or data scientists—to augment existing teams beyond client work. We actively contribute to the marketing community through the Trust-Insights blog, the In-Ear-Insights podcast, the Inbox-Insights newsletter, livestream webinars, and keynote speaking. What distinguishes us is our focus on delivering actionable insights, not just raw data. We excel at leveraging cutting‑edge generative AI techniques while explaining complex concepts clearly through compelling narratives and visualizations. Our commitment to clarity and accessibility extends to educational resources that 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‑size business, or a marketing agency seeking measurable results, we offer 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 Part 2 of our conversation with Michael Shipley, Tim and Jeff dig into the real-world fallout of California's no-horizontal-stare-decisis rule — and the structural fix Shipley has been developing to address it.Shipley walks Tim and Jeff through his proposed "mini-en banc" transfer mechanism — a way for the California Supreme Court to empower a designated Court of Appeal panel to issue statewide-binding precedent on conflicting issues without consuming the Supreme Court's own docket. No constitutional amendment required. The fix is already structurally available. The question is whether anyone has the will to use it.Key points:The "lonesome judge" problem is worse than it sounds: Under Auto Equity, trial judges caught between conflicting Court of Appeal decisions must predict which rule the California Supreme Court would adopt—effectively playing temporary Supreme Court justice on procedural disputes that may never get high court attention. The result: uncertainty, inconsistent rulings, and frustrated trial judges who just want clear precedent to follow.The anti-SLAPP mixed-cause-of-action split took over a decade to resolve: Before Baral, California Courts of Appeal were hopelessly divided on whether a defendant could bring an anti-SLAPP motion targeting individual claims within a mixed cause of action. The split persisted for years.Forum shopping is a risk—but more at the trial court level: There is a theoretical opportunity to forum-shop between appellate districts, but if shopping actually happens, it's probably more at the “lonesome trial judge” level.Shipley's fix: a "mini-en banc" transfer procedure: The California Supreme Court would transfer cases back to a designated Court of Appeal panel with authority to disapprove prior conflicting decisions and issue a statewide-binding opinion. The decision would remain subject to Supreme Court review, but would resolve persistent splits on procedural issues without consuming Supreme Court resources.Constitutional constraints make true en banc review impossible: California's Constitution requires three-justice panels—no more, no less.Implementation doesn't require constitutional amendment: The Supreme Court could adopt this procedure unilaterally as a matter of prudence, though a Judicial Council rule would provide helpful procedural uniformity.Listen now to understand a concrete reform proposal that could bring much-needed certainty to California's appellate system—and learn how you can support it.
One-off workshops rarely create lasting change in classrooms. In this episode of the Time For Teachership podcast, Lindsay shares a practical Google Doc template designed to support teacher teams in ongoing, meaningful professional learning. She walks through a structured approach called Group Implementation Coaching Sessions, showing how coaching, feedback, and inquiry can help teachers refine their practice and better support student learning. What You'll Learn in This Episode/Key Takeaways Why continuous coaching is more effective than standalone workshops (Joyce & Showers, 2022). How to set the stage for teacher team coaching by identifying team strengths, individual values, and key priorities. Strategies for maintaining an asset-based, equity-focused, and student-centered approach in coaching sessions. Key coaching moves to help teachers shift mindsets, including: Asking for examples to get to evidence. Reframing challenges (e.g., valuing curiosity over background knowledge). Moving from scarcity to prioritization. Aligning pedagogy to core teaching values. A step-by-step walkthrough of a coaching session: Human Connection: Check-ins, celebrations, and group reflection. Implementation Check: Review previous action steps, data, and student feedback. Action Planning: Identify instructional strategies, micro-groups, or feedback systems to try before the next session. Next Steps: Decide who will try what and how data will be gathered. How to leverage peer coaching and group reflection to generate richer insights and practical solutions. Timestamps [00:00:00] – Welcome & Episode Overview Introduction to Episode 246 The importance of continuous learning over one-off workshops [00:00:22] – Google Doc Template Overview How to support teacher teams after workshops Group Implementation Coaching Sessions [00:00:47] – Influences & Inspirations PLC at Work: Dr. Anthony Mohammed, Dr. Chad Dumas, Bob Sanju, Marin Powers, Shalene Miller Grow Model & Raman Behan Positive psychology, asset-based education, values alignment Books: Street Data, Pedagogies of Voice, Rebuilding Students' Learning Power [00:04:00] – Meeting 1: Setting the Stage Identify team strengths and values Center equity and "critical hope" Name the students/groups on the margins Define success: what it looks, sounds, and feels like Co-design inquiry questions and evidence-gathering [00:07:16] – Coaching Bank & Key Moves Asking for evidence: "Can you say more? Share an example?" Reframing challenges: curiosity > background knowledge Shifting from scarcity mindset to prioritization Aligning teaching to core values [00:14:42] – Structuring Subsequent Meetings Start with human connection: check-ins, listening dyads, celebrations Implementation check: review prior actions and data Three containers: initial reactions, data reflection, gut checks [00:19:35] – GLEE Model for Action Planning Goal: What do we want to foster before next session? Learn: Analyze student strengths, gaps, and feedback Explore: Identify instructional moves to grow skills & student agency Expectations: Decide who does what and gather data for next session [00:24:34] – Final Thoughts & Evidence for Coaching Joyce & Showers (2022): coaching increases skill transfer from 5% → 75–90% Peer coaching and structured feedback as essential professional learning [00:26:04] – Closing Think big, act brave, and be your best self Get Your Episode Freebie & More Resources On My Website: https://www.lindsaybethlyons.com/blog/246
Resources shared in this episode: Gallop Poll January 2026 on AI use: https://apnews.com/article/ai-workplace-gemini-chatgpt-poll-4934bc61d039508db32bc49f85d63d99Build Consulting 5 Category AI Implementation Framework by Kyle Haines: https://buildconsulting.com/blog/a-strategic-framework-for-nonprofit-ai-investment/1: Return on Investment - what are you trying to do, and is an AI tool the best way to do it? 2. Technical and Data Feasibility - are you ready? Is your data ready? 3. Mitigating AI Risks - legal, ethical, reputational...4. Anticipating Costs - AI tools are not free5. Change Impacts - making sure intentional change management is in place.How AI is changing search, Yoast wrap up from 2025: https://yoast.com/seo-in-2025-wrap-up/ AI Literacy Measures and Suggestions from US Department of Labor: https://www.dol.gov/sites/dolgov/files/ETA/advisories/TEN/2025/TEN%2007-25/TEN%2007-25%20%28complete%20document%29.pdfAI Literacy Measures: 1. Understand AI Concepts2. Explore AI Uses3. Direct AI Effectively4. Evaluate AI Outputs5. Use AI ResponsiblyDelivery Principles for AI Literacy Growth1. Enable Experiential Learning2. Embed Learning in Context3. Build Complementary Human Skills 4. Address Prerequisites to AI Literacy5. Create Pathways for AI Learning6. Prepare Enabling Roles7. Design for AgilityWebinar: How to Use AI Tools Safely at Your Nonprofit with Matthew Eshleman. https://communityit.com/webinar-how-to-use-ai-tools-safely-at-nonprofits/ _______________________________Start a conversation :) Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/ email Carolyn at cwoodard@communityit.com on LinkedIn Thanks for listening.
☎️Schedule a Business Evaluation Call with The Construction Leading Edge Team HERE – EPISODE 432: What if the reason your team is stressed, your projects feel harder than they should, and your profits aren't where they should be has nothing to do with labor shortages, material pricing, the market, your subcontractors, or even your clients? What if the real issue is that you've been letting your clients run your business and, without meaning to, have adopted what I call the Burger King philosophy? In this episode of The Construction Leading Edge Podcast, I break down why letting clients run your business is costing you big time, and how to take back control without losing the relationships you value. You'll learn a clear framework to set boundaries that protect your time and profit, and build a rhythm where clients follow your proven process instead of running your schedule.
Yarissa Matos-Soto, Founder of The Curioux, speaks with Humanitarian AI Today producer, Brent Phillips about the critical need to effectively assess artificial intelligence for outcomes and risks within the humanitarian sector. Drawing from her background as a biochemist, data specialist and startup founder, Yarissa explains how her organization, The Curioux, provides advisory services to help for-profit organizations structure their data strategy and pipelines to make data more actionable. Beyond her corporate work, she discusses her passion for environmental science, specifically her efforts to create open-source intelligence for biodiversity that aggregates hyper-local data. She also highlights her leadership role with the Association for Latin American Professionals (ALFA), where she works to formalize the local economy in Puerto Rico through networking and AI training initiatives. The conversation explores the practical realities of deploying technology in challenging environments, emphasizing the "hidden costs" of connectivity in places like Puerto Rico and Ukraine. Yarissa shares insights on how local professionals navigate rolling blackouts and infrastructure hurdles to maintain digital livelihoods. Looking toward the future, she envisions AI becoming an invisible operating layer in daily life and encourages humanitarian workers to view AI as a tool for augmentation rather than a threat, urging them to find use cases that make practical sense for their missions.
Your business deserves to be happy with your ERP. But many businesses become dissatisfied with their ERP due to a lackluster implementation or not optimizing the system properly after go-live. How can you overcome failed expectations of your ERP and better take advantage of the system?On this episode of The ERP Advisor, Shawn Windle, EAG's Founder and ERP Expert, addresses how businesses can fall back in love with their enterprise software by giving it some TLC.Connect with us!https://www.erpadvisorsgroup.com866-499-8550LinkedIn:https://www.linkedin.com/company/erp-advisors-groupTwitter:https://twitter.com/erpadvisorsgrpFacebook:https://www.facebook.com/erpadvisorsInstagram:https://www.instagram.com/erpadvisorsgroupPinterest:https://www.pinterest.com/erpadvisorsgroupMedium:https://medium.com/@erpadvisorsgroup
Today our guest is Jenice Pizzuto, Implementation Training Specialist at CharacterStrong. We dive into why change is both personal and emotional, and how implementation science gives leaders a roadmap for turning intention into lasting impact. If you've ever adopted a new initiative only to watch it fade, this conversation will help you understand why, and what to do differently. In this episode, we answer critical leadership questions about implementation: Why do new initiatives fail even when the idea is strong? What is the difference between a theory of change and a change theory? Who should be on an implementation team? Why should implementation goals focus on adult behavior first? Learn More About CharacterStrong: Access FREE MTSS Curriculum Samples Request a Quote Today! Learn more about CharacterStrong Implementation Support Visit the CharacterStrong Website
If you're still bouncing between $500 jobs, $800 gigs, and random custom proposals… and you're wondering why $10K months feel out of reach… this episode is for you.Because hitting consistent $10,000 months is not about grinding harder. It's about operating in the right business model.Our businesses & the creatives we've coached who consistently hit $10K, $15K, even $30K+ months all have one thing in common - we've all chosen a model that is proven to work.In Episode 272 - 4 Business Models That Do $10K/Mon+ (Copy These), we break down the exact four models that are working right now in 2026 and help you figure out which one fits your personality and goals.1. The Retainer Model - predictable monthly income, higher lifetime client value, and why the attention economy makes this powerful right now2. The Campaign Model - high ticket one off projects for creatives who thrive on variety, pitching, and production3. The Productized Offer Model - clear scope, clear price, clear outcomes that make selling easier4. The Service Stacking Model - how to turn $3K invoices into $15K+ deals by becoming a strategic partner, not just a vendorIf you've been feeling stuck in inconsistent income or unsure what direction to take your business this year, this episode will give you clarity.SAVE THE DATE & REGISTER: Our $10K per Month Creator Workshop is back — happening next Wednesday, February 25th at 4:30pm PST.In this free, live workshop, we're breaking down what's actually working right now to build a creative business that consistently clears $10,000 per month — whether you're a photographer, filmmaker, content creator, or social media manager.We'll cover:- The four stages every creative business moves through on the way to six figures- How to build offers that scale to $10K+/mo- How to price your work to maximize every job in 2026- How to increase demand so you're not relying on hope or referralsIt's the exact framework we use in our own business day to day, and the workshop is live, free, and interactive with plenty of time for Q&A. Spots are capped.Register here: [www.creativrise.com/workshop](http://www.creativrise.com/workshop)---If you're ready to stop operating on scattered projects and start building a scalable model, our 6-week Mastermind is your next step.Round 15 starts March 15th, and applications open to the waitlist on February 25th.Inside, we help you choose the right business model for your personality, build high-value offers around it, price it properly, and actually execute on it. Not theory. Implementation.If you're a photographer, filmmaker, content creator, or social media manager in the wedding or brand space and you're serious about building a six-figure foundation, there are only 35 spots available.Join the waitlist now to get early access when applications open and watch real client stories at[www.creativrise.com](http://www.creativrise.com/)Follow Along:→ Instagram: @creativrise | @joeyspeers | @christyjspeers
Take Back Time: Time Management | Stress Management | Tug of War With Time
Conferences still matter. But the way we design them must change.With rising costs, economic pressure, and AI reshaping professional development, association leaders can't afford events that stop at “great content.”In this episode, Penny Zenker shares:Why information is now a commodityWhat Millennials and Gen Z actually expect from eventsHow to use real-time feedback and live polling to increase engagementA practical framework for embedding accountability into your conferenceHow AI can personalize and extend impact long after the event endsBecause the real ROI of a conference isn't inspiration.It's implementation.Love the show? Subscribe, rate, review, and share! https://pennyzenker360.com/positive-productivity-podcast/
Feb. 20, 2026- Despite pledges of increased transparency by Gov. Kathy Hochul, a new report from Reinvent Albany found that executive agencies have a lot of room for improvement in responding to records requests under the Freedom of Information Law. We discuss the findings and the opaque state senate confirmation voting process with Rachael Fauss, a senior policy advisor for the good government group.
Industrial Talk is onsite at SMRP 2025 and talking to Candi Robison and Daniel Rimmasch with IFS/Ultimo about "A flexible EAM cloud platform for today's industry". Scott Mackenzie from Industrial Talk Podcast interviews Candi Robinson and Daniel Rimmasch from IFS Ultimo at the SMRP event in Fort Worth, Texas. Candi, with 25 years in EAM, discusses IFS Ultimo's cloud-based EAM solution, which integrates CMMS and EAM functionalities, addressing labor shortages, workforce retirement, and sustainability. Daniel highlights Ultimo's mobile capabilities, AI integration, and its ability to prevent data silos. They emphasize the importance of user-friendly interfaces, effective data capture, and training to ensure efficient maintenance and asset management. Ultimo's deployment can be as quick as three months, catering to various industries. Outline Introduction and Overview of Industrial Talk Podcast Scott Mackenzie introduces himself and the Industrial Talk podcast, emphasizing its focus on industrial insights and innovations.Scott highlights the importance of asset management, maintenance, and reliability, encouraging listeners to attend the SMRP event in Fort Worth, Texas.Scott introduces the guests, Candi Robinson and Daniel Rimmasch from IFS Ultimo, and expresses excitement about discussing their company's solutions. Background of Candi Robinson and Daniel Rimmasch Candi Robison shares her 25-year experience in EAM, starting with MRO software and later working at IBM before joining IFS Ultimo.Candi discusses the acquisition of Ultimo by IFS and the significant growth the company has experienced.Daniel Rimmasch introduces himself as a business development representative with a decade of experience in the industry, emphasizing his passion for helping people and staying updated with industry trends. Understanding IFS Ultimo's Solution Candi explains that IFS Ultimo is an Enterprise Asset Management (EAM) solution that bridges the gap between CMMS and EAM.She discusses the changing market landscape, with EAM leaders like Maximo and SAP evolving to asset lifecycle management.Candi highlights the importance of addressing labor shortages, workforce retirement, and sustainability through EAM solutions. The Role of Nano and Kevin Price Candi mentions Nano as a partner that provides devices for energy-centered maintenance, connecting to IFS Ultimo for actionable visibility.Scott and Candi discuss the role of Kevin Price, who is the head of EAM at IFS, and how Ultimo fits into the IFS cloud offering.Candi clarifies that Ultimo is a separate company from IFS, focusing on maintenance-centered conversations. Differentiation of IFS Ultimo Daniel explains that Ultimo's approach includes health and safety operations, making it a one-stop shop for asset management.He emphasizes the importance of preventing data silos and providing a singular view for all departments.Daniel highlights that Ultimo is a cloud-based software, offering continuous support and additional features as clients progress in their journey. Deployment and Implementation of Ultimo Daniel explains that Ultimo's typical deployment can be as short as three months, depending on the client's needs.Candi adds that Ultimo is multilingual, multi-currency, and multi-time zone, and can be deployed globally without a system integrator.Scott and Candi discuss the importance of training and change management, starting with understanding the customer's process. Future Trends and AI Integration...
The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: Oracle's Cloud Supply Chain Capabilities, Q&A (Darian Chwialkowski, Third Stage Consulting) Industry 4.0 Why Software Best Practices Do Not Exist We also cover a number of other relevant topics related to digital and business transformation throughout the show.
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how AI can take over routine tasks and what that means for your daily workflow. You’ll learn why relying too much on AI might erode essential skills and how to spot the warning signs. You’ll explore practical frameworks—like the four R's and the TRIPS model—that keep you in control of AI projects. You’ll see real examples of virtual focus groups and how human review can prevent costly mistakes. Watch the episode now to protect your expertise while leveraging AI power. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-cognitive-offloading-deskilling-impact-of-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights. This week, let’s talk about something that has been on Katie’s mind— the differences between cognitive offloading and cognitive enhancing with AI becoming as capable as it is with today’s latest agentic frameworks that can literally just pick up a task and run with it. We talked about it last week on the podcast and live stream, which you can find on the Trust Insights YouTube channel. Go to Trust Insights AI YouTube. These tools are incredibly powerful. You can literally say, “Here’s the project plan,” and just come back to me in 45 minutes. Katie Robbert: Your concerns are, if the machine is just going to go off and do a great job with these tasks, what’s left for us and what does that mean for our own cognitive capabilities and how we might deskill. And I want to highlight what you said—that these things are going to do a quote‑unquote great job. That’s a big caveat. Over the past couple of weeks, especially with Claude from Anthropic, they have launched a lot of functionality into their system. You can use the web version to set up projects and artifacts and have the chat, or you can use the desktop version, now available for Windows and Mac. It was only available for Mac at first; now it's also available for Windows, so it's all inclusive. Everybody gets in on the fun, and you have chat, cowork, and code. One early warning sign I'm seeing is that Claude now has plugins baked into its desktop version. These plugins cover areas like marketing, legal, and executive, and you can even make your own plugins. We made our 5Ps plugin. You can also take the skills you have built on the web version and bring them into the desktop version. You can have a co‑CEO, a voice of customer, a fact‑checker— the one that Chris really likes—and all of these things. Chris, you did this last week as an experiment: a virtual focus group with many different players from our voice of customer. Our ideal customer profile includes small, medium, and large businesses, with roles ranging from directors and managers to executives and marketers. You wanted to create virtual versions of all these personas and have them do a focus group with the co‑CEO, which for all intents and purposes is me, and then review the results—a fun experiment. But my first inclination is, whoa, hold on—a human is missing. If you let the machine duke it out unsupervised and then present the response, that is potentially problematic because you've offloaded not only the manual tasks but also the thinking. The machine is only as good as the personas you program in, with your own bias, whether you realize it or not. It will act the way you ask it to, not the way real humans act, and real humans can be completely unpredictable. We need that unpredictability to get a good result. So are we going too far with offloading human tasks to large language models because it's convenient? Christopher S. Penn: Oh, we absolutely are. Christopher S. Penn: One of the things I discuss with our clients—an education class—is how AI is rewiring people’s brains. I had a fun interaction with a high‑school student locally. I asked how they use generative AI. They said the school banned ChatGPT, so they all just use DeepSeek instead. They have it do everything and have learned tricks to avoid the school's AI detector software, which isn't particularly good. Humans, like animals, take the easiest route because it's a basic survival mechanism. You don't spend more energy on a task than you have to, because in the wild you never know where your next meal is coming from. That's why cats lounge for hours and then become lunatics for a few; the same goes for dogs and humans. Students use the easiest pathway out of a task, especially if it's a task they don't want to do. That is probably where we'll first see off‑loading and deskilling—in the things we don't enjoy doing, according to the Trust Insights TRIPS framework. One of the five dimensions of the TRIPS framework is pain: how painful a task is. If a task is something we genuinely enjoy—playing music, painting, dancing—we won't want to off‑skill it because we enjoy the doing. If the task is painful, like having 28 blog posts due tomorrow and sitting in endless meetings, you'll hand it off to the machine because you don't want to do it in the first place. Instead of procrastinating, AI will do it 96 % as well as you. Does it risk deskilling and losing those skills? Yes, absolutely. Ask anyone under 30 who has not served in the military to use a compass and a map, and you'll see shocked faces because we've forgotten how to use maps. So there is definitely deskilling. The question is whether people are deskilling on tasks that require human review. In the example you gave about legal work, I had four agents converse, and when I read the transcript I learned something I didn't know. I didn't know that legal construct existed, so I Googled it to fact‑check. Katie Robbert: Let me pose it this way—we're deskilling. In the example of having 28 blog posts, or simply not wanting to do a task, maybe it's a generational thing. But I'm old—well, I'm in the same generation as you, Chris. I didn't realize we had a choice not to do things we didn't want to do. Technology and culture have changed how we work professionally, but I still think we should learn how to do things even if we don't end up doing them ourselves. Because let's say I don't know how to edit, stage, and deliver blog posts to a client. I've never done it; the machine has always done it. What happens if the machine breaks? What happens if the models change? Your manager will look to you and say, “You need to step in.” When the machines are down, we still have to hit those deadlines. My concern is that even if we're not the ones doing the work at the end of the day, we should still have a basic understanding of how the thing is done. That ties into frameworks such as the 5P framework—purpose, people, process, performance. If you don't have a basic structure for how something is done, and tomorrow Claude implodes and you've built your whole business around it, you'll be left without insider information. I'm not saying that will happen, but it's a purely hypothetical scenario that makes you ask, “What do I do?” I don't know how to run a focus group, engage with humans for voice‑of‑customer data, or research trademark laws and regulations. You become so reliant on machines that you don't even learn the basics. You don't need to be a legal expert, but you should be able to read something. There should be a basic process so that if the machines fail, a human can pick it up, figure it out, and do it. It's basic redundancy and business continuity. I think we're skipping those backup plans because we're overly confident that large language models will never fail. That confidence is a huge risk for businesses that don't step back and say, “Yes, we can have these machines do the work, but let's also have a foundation for how it's done if the power goes out, the model changes, or it becomes cost‑prohibitive.” So I'm worried about deskilling, but I'm also concerned that businesses are becoming so reliant on software that they forget software is just that—it fails, it's buggy, and it makes a lot of mistakes. Christopher S. Penn: One of the things I strongly recommend is an Instant Insights piece on the Trust Insights website—my framework for this surprise, which I call the four R's. The four components you should have for any project are: 1. Research—knowledge that is written down, not just in your head. 2. Requirements—a document that defines what constitutes “done” at the very minimum. 3. Rules—what is and isn't allowed, such as the Trust Insights writing style that outlines how we should and shouldn't sound. 4. Recipe—an operating procedure, whether AI‑based or not, that is written down. These four documents—research, requirements, rules, and recipe—allow you to delegate work to a human because everything is clear and standardized. The recipe shows step‑by‑step exactly what's supposed to happen; if it's unclear, you'll get wildly bad results. If you take the time to write out the four R's, and they're saved and clear, you can still get work done even if an EMP knocks out the grid or your provider goes down. You could switch providers and still get consistent results because you're not doing one‑off things. This is part of the five Ps—process is one of the five Ps—so no matter what happens, you have the ability to keep going. Doing things ad hoc leads to forgetting how you did them the last time, which hinders repeatable success and scalability. If you have the discipline to build the four R's for any project, even something as small as editing this newsletter article, you'll have the backup you're talking about. Katie Robbert: You're missing an R—the fifth R is Review, which means human intervention. That ties back to my original concern about being too reliant on machines. Even if you go through the four R's and feel confident in the output, you might set an example for team members to skip the review process, assuming the machine's output is good enough to ship to the client. If the client then says, “Did you screw this up?” you could get fired. You need a human review to go back through each stage and say, “This doesn't make sense,” or “This isn't right.” That human review is a big part of the concern, along with redundancy for machine failures. The focus group experiment was entirely synthetic, including me. I would have happily participated as the human to keep it on the rails, saying, “I don't think this is going in the right direction.” Human intervention is essential, especially for core business tasks. We're becoming so reliant on software to deliver outstanding outputs that we think, “The machine did it; I don't even have to participate.” I can just push a button, get everything done, and go get a latte. That's going to be a huge problem. Eventually, natural selection will favor people who remain intimately involved with the software process over those who have outsourced everything to AI. Christopher S. Penn: I agree. In the hyper‑capitalistic hellscape we live in, productivity is the only thing that matters, and people are clearing their to‑do lists as fast as possible, often juggling three jobs for the salary of one. This pressure forces people to outsource their executive function to machines. When you look at newsrooms, for example, clients are under incredible pressure to crank out content, get things done, and move to the next item on the list, to the point where they're so stressed they lose executive function. The more stressed you are, the more cortisol you have, which puts your brain into fight‑or‑flight mode. Your ability to step back, think, and bring out the best parts of your humanity is diminished by that level of stress. So people outsource their executive function to machines. Whether or not you have a clinical diagnosis of ADHD, if you're under enough stress, your executive function essentially goes to hell. Here's a question: for someone whose executive function is impaired by stress or anxiety, is it better to have a machine take on that executive function? Katie Robbert: That goes back to the TRIPS framework—time, repetitiveness, importance. You need to understand the risk to the company. If someone asks you to type up meeting notes, that's a low‑risk, internal task. An AI transcript can do that without outsourcing executive function. The risk assessment depends on whether the task is internal, client‑facing, tied directly to money, involves sensitive data, is part of a regulatory system, or underpins your IT foundation. Companies need to evaluate those risks. Often they design a process where a button loads 20 blog posts at a time and delivers them to the client website. The repetitiveness and time required make it a good AI candidate, but the importance is high because it's client‑facing and tied to revenue. If you post the wrong content or an unedited piece, the client will be angry and you could be fired. So importance isn't just about how much you don't want to do; it's also about the risk to the company. Christopher S. Penn: In a future episode I want to talk about comparable skill levels with AI to wrap up today's discussion. There is a risk and downside to offloading everything, no matter how much pressure you're under. Using frameworks like the Trust Insights TRIPS framework or the 5Ps will help you reduce that risk and identify when a human should be part of the process. If you have thoughts, share your perspective in our free Slack group. Go to Trust Insights AI Analytics for Marketers, where over 4,500 marketers ask and answer each other's questions every day. Wherever you watch or listen to the show, you can find us on all major podcast platforms. Thanks for tuning in. I'll talk to you on the next one. Speaker 3: 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 Insight specializes in helping businesses leverage the power of data, AI, and machine learning to drive measurable marketing ROI. Services span from developing comprehensive data strategies and conducting deep‑dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology, martech selection and implementation, and high‑level strategic consulting encompassing emerging generative AI technologies such as ChatGPT, Google Gemini, Anthropic Claude, DALL‑E, Midjourney, Stable Diffusion, and Metalama. Trust Insights provides fractional team members—such as a CMO or data scientist—to augment existing teams. The firm actively contributes to the marketing community through the Trust Insights blog, the In‑Ear Insights podcast, the Inbox Insights newsletter, livestream webinars, and keynote speaking. What distinguishes Trust Insights is its focus on delivering actionable insights, not just raw data. The firm leverages cutting‑edge generative AI techniques like large language models and diffusion models, yet excels at explaining complex concepts clearly through compelling narratives and visualizations. Data storytelling and a commitment to clarity and accessibility extend to Trust Insights educational resources, empowering 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 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.
Industrial Talk is talking to Klaus Andersen and Nils Olsson with Tacton about "Redefining buyers engagement for manufactures of complex products". Scott Mackenzie introduces Elevo Tech, a company offering ERP, EAM, and business intelligence solutions, and then transitions to discussing Tacton, a Swedish company specializing in advanced manufacturing configuration. Tacton's CPQ solutions help customers configure complex equipment, supporting both direct sales and omnichannel interactions. The platform integrates with existing systems like CRM, PLM, and ERP, aiming to increase win rates, efficiency, and reduce errors. Tacton's AI capabilities can cut configuration time by up to 80% by structuring unstructured product data. Implementation times vary, typically between six months and a year, depending on the project's scope. Outline Introduction to Elevotec and Industrial Talk Podcast Scott Mackenzie introduces Elevotec, highlighting their ERP, EAM, and business intelligence solutions.Scott Mackenzie welcomes listeners to the Industrial Talk Podcast, emphasizing the importance of celebrating industry professionals.Scott Mackenzie introduces Klaus and Nils from Tacton, discussing their platform and its solutions for today's challenges.Scott Mackenzie expresses excitement about the renaissance in industrial solutions and the importance of human-to-human connection in marketing. Challenges and Solutions in Advanced Manufacturing Nils explains Tacton's specialization in configuring complex equipment, comparing it to configuring consumer products like computers or cars.Klaus describes Tacton's CPQ solutions for advanced manufacturing, supporting both direct sales and omnichannel support.Scott Mackenzie and Klaus discuss the importance of making the configuration process easy for customers while ensuring technical accuracy.Nils emphasizes the need for a buyer-centric smart factory, making it easy for customers to navigate the solution space without technical expertise. Integration and Flexibility of Tacton's Solutions Scott Mackenzie inquires about Tacton's integration with existing IT systems like CRM, PLM, and ERP.Nils explains that Tacton is an agnostic player, able to augment existing systems without complete reconfiguration.Scott Mackenzie and Nils discuss the financial benefits of Tacton's solutions, including increased win rates, efficiency, and reduced errors.Klaus highlights the importance of accurate quotes and the impact of errors on warranty costs and rework. Customer-Centric Pricing and Data Management Scott Mackenzie asks about the flexibility of Tacton's pricing methods, including value-based pricing and detailed bill of materials.Nils explains that Tacton supports various pricing methods, depending on the business needs.Scott Mackenzie inquires about how Tacton ensures the system stays updated with the latest product changes and data.Nils describes the typical setup of connecting PLM and CPQ systems to ensure data accuracy and timeliness. Implementation Time and AI Integration Scott Mackenzie asks about the implementation time for Tacton's solutions.Klaus estimates the implementation time to be between six months and a year, depending on the project's scope.Scott Mackenzie inquires about Tacton's use of AI in their solutions.Nils explains that AI is used to structure unstructured product data, significantly reducing the time required for configuration. Future Challenges and Market Reception Scott Mackenzie asks about the future challenges and opportunities for Tacton.Klaus and Nils discuss the...
How early in process development should you address glycosylation? This episode presents the case for co-optimizing glycan profiles with productivity from initial process characterization. Deferring glycosylation characterization until after titer targets are met introduces risk: quality attribute gaps discovered late in development force process re-optimization, extended timelines, and potential cell line reselection. Media supplementation enables earlier intervention—tuning glycan distribution as a process parameter from the beginning of cell line and media development rather than as a remediation strategy.David Brühlmann outlines the experimental protocol for validating raffinose supplementation, including decision criteria for proceeding or terminating at each development stage. The discussion addresses process design space requirements, analytical monitoring strategy, and the experimental variables that determine when media-based glycan tuning is appropriate versus when alternative approaches are needed.Highlights from the episode:When to use (and not use) raffinose in your development program, including limitations and effectiveness windows (00:30)Essential protocol: three experiments over eight weeks to validate raffinose for your process, with clear go/no-go criteria (04:09)Why individualized mannose tracking (Man5, Man6, Man7, Man8) is crucial for meaningful results (01:06)Managing osmolality: why it matters and how to control it in your experiment (04:36)Advice on scaling up: moving from small-scale screens to benchtop bioreactors and stress-testing your process (07:48)Three key mistakes to avoid when implementing raffinose, including lessons from analytical oversight, incomplete design mapping, and feed interference (09:08)Integrating glycosylation as a core part of process design, not just a secondary consideration after titer optimization (13:10)Strategic insight:Sequential optimization of productivity followed by glycosylation introduces development risk: quality attribute deviations discovered after process lockdown require costly re-optimization cycles. Parallel development of titer and glycan specifications from initial cell line characterization reduces this risk by establishing feasible operating windows early in the development timeline.Are you planning your next recombinant protein scale-up? Hear how David's rule-of-three protocol and battle-tested lessons can help you optimize faster and avoid painful late-stage surprises.Resources: Journal of Biotechnology, 2017, volume 252, pages 32 to 42Next step:Need fast CMC guidance? → Get rapid CMC decision support hereSupport the show
In this masterclass episode, Favour Obasi-ike, MBA, MS delivers an in-depth exploration of web sales optimization (CRO - conversation rate optimization) through strategic search engine marketing (SEM). The episode focuses on the critical relationship between website speed and conversion rates, revealing how technical optimization directly impacts sales performance. Favour emphasizes that web sales are fundamentally a result of web speed, explaining that websites loading slower than 3 seconds can decrease conversion rates by at least 7%, with compounding effects reaching 20% for sites taking 10 seconds to load.The discussion covers comprehensive website optimization strategies, including image optimization (recommending WebP format over JPEG/PNG), structured data implementation with schema markup, and the importance of optimizing every website element from headers and footers to file names and internal linking structures. Favour introduces the concept of treating URLs like seeds that need time to grow, recommending a 2-3 month planning horizon for content strategy.The masterclass also explores collection pages, category optimization, and the strategic use of content hubs to create pathways for user navigation. Favour shares practical tools and resources for keyword research and competitive analysis, while emphasizing the importance of submitting websites to Google Search Console and Bing Webmaster Tools for maximum visibility. The episode concludes with actionable advice on implementing these strategies either independently or through professional SEO consultation.Book SEO Services | Quick Links for Social Business>> Book SEO Services with Favour Obasi-ike>> Visit Work and PLAY Entertainment website to learn about our digital marketing services>> Join our exclusive SEO Marketing community>> Read SEO Articles>> Subscribe to the We Don't PLAY Podcast>> Purchase Flaev Beatz Beats Online>> Favour Obasi-ike Quick Links
Send a textSteve Sellenriek, Sellenriek Family of Companies, describes the current and future outlook for broadband implementation, data centers, and other future utility and infrastructure issues..Support the showLearn more at www.agcmo.org Please share our podcast with anyone interested in the construction industry!
Digital Stratosphere: Digital Transformation, ERP, HCM, and CRM Implementation Best Practices
0:00- Intro1:00- Passing of time 3:40- Plastic surgery18:00- Dopamine45:00- AI and AI in fitness1:04:00- Update on our training
John and Elizabeth McCormick continue their conversation. They talk about building a speaking business, the P.I.L.O.T. (Potential, Implementation, Leadership, Optimal Performance, and Tenacity) Method for growth, and how stories and experiences help connect with audiences. In the previous episode, Elizabeth discussed her journey from the U.S. Army to becoming a speaker, the challenges she faced as a woman in a male-dominated field, and the mindset it took to never quit when everyone else doubted her. Listen to this episode to learn more: [00:00] - How Elizabeth helps people with their speaking careers [02:45] - Coaching vs. mentoring [04:07] - AI search and visibility for speakers [05:30] - Elizabeth's group mentoring program [07:24] - The P.I.L.O.T. Method [10:41] - Why stories matter [12:03] - How Elizabeth's faith affects her speaking business [14:42] - Give away 80% of your ideas [16:39] - Avoiding scarcity and heavy sales tactics [19:21] - Serving vs. selling [23:25] - Storytelling and marketing [27:25] - Elizabeth's definition of success [29:24] - #1 daily habit [33:44] - Traits of a great leader [34:52] - Legacy Elizabeth wants to leave behind [37:14] - How Elizabeth invests in her growth and marriage [44:23] - Best way to connect with Elizabeth [44:58] - Elizabeth's upcoming book [46:51] - Book recommendations [48:22] - Closing thoughts NOTABLE QUOTES: "If you don't believe in your potential … how can anyone else believe in it?" "Coaching and mentoring are not the same thing. A mentor can tell people what to do. A coach shouldn't be telling you. Instead, they should ask, 'Well, what do you think you should do?' and help you discover the answers within you. That's coaching." "Self care is not selfish. As a leader, we have to lead by example, and that means taking care of yourself by showing up as your best for your work, yourself, and your family. So that you can be there for them and do more with the gifts you have." "Being tenacious is showing up when it's hard. It's not giving up. It's bringing your best self to everything you have, no matter what's going on around you." "Selling is serving because we are serving these potential clients. If we're not serving them, they're going to feel sold to. Nobody wants to feel that way. But if I'm serving them, that means I'm helping them, and they never feel sold to." "Values and relevancy are just as important as the solution." "Adult learners learn best from emotion-provoking stories and thought-provoking questions." "Be in your potential zone, not a comfort zone, because that's where growth happens." "It doesn't do any good to believe in yourself, believe in your potential, or be in a potential zone if you don't do something with it. You'll squander the opportunities. So it's about taking action and being more effective in the things you do." BOOK MENTIONED: The 15 Invaluable Laws of Growth by John C. Maxwell (https://a.co/d/0eLABP0J) USEFUL RESOURCES: https://yourinspirationalspeaker.com/ https://www.linkedin.com/in/pilotspeaker/ https://www.instagram.com/pilotspeaker/ https://www.facebook.com/pilotspeaker https://x.com/pilotspeaker https://www.youtube.com/user/YourInspiringSpeaker The P.I.L.O.T. Method: The 5 Essential Truths to Leading Yourself in Life! (https://a.co/d/7YE4Nir) Bookability Factor: 67 Tips to Get You Booked and Paid as a Keynote Speaker (https://a.co/d/2hG9i01) CONNECT WITH JOHN Website - https://iamjohnhulen.com LinkedIn - https://www.linkedin.com/in/johnhulen Instagram - https://www.instagram.com/johnhulen Facebook - https://www.facebook.com/johnhulen X - https://x.com/johnhulen YouTube - https://www.youtube.com/channel/UCLX_NchE8lisC4NL2GciIWA EPISODE CREDITS Intro and Outro music provided by Jeff Scheetz - https://jeffscheetz.com/
In Part 2 of this in-depth conversation, Sarah Jeanneault and Dwayne Kerrigan tackle one of the most misunderstood topics in modern business: AI implementation without foundational process.Drawing from Sarah's background in education, finance, trading psychology, and her current role at ProcedureFlow, the discussion reframes AI not as a silver bullet—but as an amplifier of whatever already exists inside an organization. Together, they explore why many companies are failing to see ROI from AI investments, how skipping SOPs and governance creates chaos, and why leaders must slow down before they scale up.Using powerful metaphors—from sourdough baking to mountain biking—Sarah explains why meaningful AI adoption requires patience, critical thinking, and uncomfortable conversations. The episode also expands into leadership, parenting, culture-building, and the human elements AI will never replace: empathy, judgment, and connection. This is a grounded, honest conversation for leaders who want to use AI responsibly—without gambling their business on hype.Episode Highlights:00:00 – Sarah introduces AI implementation using a sourdough recipe analogy01:00 – Dwayne welcomes listeners and frames Part 202:00 – Imposter syndrome, fear, and language we use to protect ourselves05:00 – Growth mindset and the “10 more steps” principle08:00 – Parenting, resilience, and building long-term capability12:00 – Leadership, culture, and why hard conversations matter16:00 – Why AI investments often fail to produce ROI20:00 – SOPs, governance, and backing the bus up 25:00 – Customer experience, AI chatbots, and human frustration 30:00 – Agentic AI, avatars, and future customer service models 35:00 – Why AI is already here and cannot be undone 40:00 – Doom scrolling, humanity, and preserving curiosity46:00 – Data collection as preparation—not prediction53:00 – Visual flows and simplifying complex knowledge59:00 – AI timelines, human choice, and optionality 01:05:00 – Where AI helps—and where it shouldn't replace humans 01:10:00 – Final reflections and resourcesKey Takeaways:AI amplifies broken systems, it doesn't fix themSOPs, processes, and governance must come before automationROI fails when AI is implemented for optics instead of outcomesProcess clarity enables both humans and AI to perform betterNot every industry, or company, is ready for AI at the same paceData collection today enables smarter AI decisions tomorrowAI should augment human judgment, not replace itThe future still belongs to human connection, empathy, and choiceResources Mentioned:ProcedureFlow – Enterprise knowledge management platform - https://procedureflow.com/ Notable Quotes:
Veronique de Rugy of the Mercatus Center argues tariffs act as taxes on Americans, criticizing the administration's erratic implementation for creating damaging business uncertainty that undermines economic planning.1955
Guest: Padraic Scanlan. Scanlan explains the evolution of Poor Laws, the harsh discipline of workhouses, and the implementation of soup kitchens like Soyer's during the famine.1847
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