Podcasts about LMS

Déléguer efficacement : la méthode des 4C pour managers débordés« Ça ira plus vite si je le fais moi-même. » Si cette phrase vous est familière, cette vidéo est faite pour vous.Dans cette vidéo, on aborde un grand classique du management : la délégation.Pourquoi c'est si difficile ? Comment éviter de micro-manager ? Et surtout, comment déléguer sans culpabiliser ni perdre le contrôle ? Je vous partage une méthode simple, testée par des centaines de managers : les 4C

professorjrod@gmail.comWhat if the scariest hacks of 2025 never looked like hacks at all? We break down five real-world scenarios where attackers didn't smash locks—they used the keys we handed them. From an AI-cloned voice that sailed through a wire transfer to a building's HVAC console that quietly held elevators and doors hostage, the common thread is hard to ignore: trust. Trusted voices, trusted vendors, trusted “boring” systems, trusted sessions, and trusted APIs became the most valuable attack surface of the year.We start with a “boring” phone call that proves how caller ID and confidence can defeat policy when culture doesn't empower people to challenge authority. Then we step into the mechanical room: cloud dashboards for HVAC and badge readers, vendor-shared credentials, and thin network segmentation made physical denial of service as simple as logging in. The pivot continues somewhere few teams watch—libraries—where an unpatched management system bridged city HR, school portals, and public access with zero alarms, because nothing looked broken.Authentication takes a hit next. MFA worked, yet attackers won by stealing active LMS session tokens from a neglected component and riding valid access for weeks. No failed logins, no brute force—just continuation that our tools rarely question. Finally, we open the mobile app and watch the traffic. Clean, well-formed API calls mapped pricing rules, loyalty balances, and inventory signals at scale. Not a single malformed request, but plenty of business logic abuse that finance noticed before security did.If you care about cybersecurity, IT operations, or the CompTIA mindset, the takeaways are clear: shorten trust windows, verify context continuously, rotate and scope vendor access, segment OT from IT, treat libraries and civic tech as real attack surface, bind tokens to devices, and put rate limits and behavior analytics at the heart of your API strategy. Ready to rethink where your defenses are blind? Listen now, share with your team, and tell us which assumption you'll challenge first. And if this helped, subscribe, leave a review, and pass it on to someone who needs a wake-up call.Support the showArt By Sarah/DesmondMusic by Joakim KarudLittle chacha ProductionsJuan Rodriguez can be reached atTikTok @ProfessorJrodProfessorJRod@gmail.com@Prof_JRodInstagram ProfessorJRod

50 milliards d'euros par an.C'est ce que représente la formation professionnelle en France. Pourtant, côté managers et responsables RH, elle reste souvent perçue comme un système complexe, opaque et difficile à activer.Rémi Rousseau est Consultant en formation professionnelle et en création d'organismes de formation. C'était donc l'invité parfait pour tout comprendre au rouages de ce système. L'objectif de cet épisode ? Vous aider à prendre de meilleures décisions en matière de formation, sans subir la réglementation.Et pour cela, Rémi explique : qui pilote réellement la formation professionnelle en France, d'où vient l'argent de la formation… et comment il est redistribué, le fonctionnement et les limites du CPF mais aussi les bons réflexes à adopter quand on est manager ou RH pour financer des formations.Bonne écoute !À très vite,Prenez soin de vous !Plus d'info :Pour suivre Rémi sur LinkedIn : https://www.linkedin.com/in/remi-rousseau/Pour recevoir gratuitement notre sélection hebdo de conseils pratiques pour animer votre équipe, rendez-vous ici : https://teambakery.com/nlEt n'oubliez pas de laisser 5 étoiles et un gentil commentaire sur Apple Podcast et Spotify si l'épisode vous a plu.CHAPITRAGE00:00:00 - Intro00:02:34 – Présentation de Rémi et de son parcours00:04:11 – Comment s'organise le côté réglementaire de la formation en France ?00:08:57 – Quel budget cela représente-t-il ?00:13:46 – Qui gère la partie financière ?00:20:32 – Comment les dispositifs ont été professionnalisés ?00:31:32 – Quelles sont les règles de financement ?00:38:41 – Quelques conseils pour les entreprises00:41:46 – Et pour les opérationnels qui voudraient se formeVous aimerez cet épisode si vous aimez : Outils du Manager • Happy Work • HBR on Leadership • Le Podcast de la Formation • MANAGEMENT & LEADERSHIP • Learn & EnjoyHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Jeffrey welcomes Ola Iyinolakan, Chief Executive Officer, Stakestack AI, Hollywood, CA. Can you introduce yourself and share the founding story and mission of Stakestack? How does Stakestack's AI-driven platform improve workforce learning and compliance compared to traditional methods? What specific challenges faced by businesses in Michigan, especially in manufacturing automotive, does Stakestack address? What collaborations in Michigan's ecosystem have helped accelerate Stakestack's growth? How do you envision artificial intelligence impacting the broader Michigan community, including workers, businesses, and education, and what actions should be taken to ensure everyone benefits from AI-driven changes? Looking forward, what's most important to Stakestack going forward? » Visit MBN website: www.michiganbusinessnetwork.com/ » Subscribe to MBN's YouTube: www.youtube.com/@MichiganbusinessnetworkMBN » Like MBN: www.facebook.com/mibiznetwork » Follow MBN: twitter.com/MIBizNetwork/ » MBN Instagram: www.instagram.com/mibiznetwork/ Stakestack AI is revolutionizing workplace training and higher education with an adaptive AI-powered learning platform designed for the individual learner. Our dynamic AI agent moves beyond traditional one-size-fits-all modules, leveraging AI-driven course creation and personalized assessments that adjust seamlessly to each user's unique pace and learning style. The platform integrates seamlessly with existing corporate LMS systems, allowing HR teams and managers to easily create impactful training using intuitive AI tools such as text-to-video, text-to-image, and cognitive assessments. Stakestack AI empowers organizations to deliver personalized, engaging, and cost-effective training solutions that continuously evolve with every learner and align with business goals and workforce. Join us in redefining education, making it smarter, more engaging, affordable, and truly transformative.

In this episode of the HR L&D Podcast, host Nick Day sits down with John Canapel, President and COO of Cypher Learning, to explore how AI is reshaping learning and development and what this means for the future of HR.The conversation covers why traditional LMS models are no longer fit for purpose, how AI native learning platforms are collapsing months of work into minutes, and why personalization, engagement, and learning in the flow of work are now critical. John shares how AI agents, microlearning, and conversational learning can help organizations close skill gaps faster while protecting IP and maintaining strong governance.You will hear practical insights on AI driven course creation, learning agents, gamification, and skills based career pathways, alongside real world examples showing improved engagement, faster onboarding, stronger compliance, and higher retention. The discussion also looks at how the role of the L&D professional is evolving from content creation to designing scalable learning systems and managing behavior change.Whether you are an HR leader, L&D professional, or business executive, this episode will help you understand how to move from slow, compliance driven training to high impact, human centered learning powered by AI. Expect clear guidance on where to start, how to assess AI readiness, and how to build a workforce that can upskill faster and perform at a higher level in a rapidly changing world.John's Kannapell LinkedIn: https://www.linkedin.com/in/kannapell/ Nick Day's LinkedIn: https://www.linkedin.com/in/nickday/ Find your ideal candidate with our job vacancy system: https://jgarecruitment.ck.page/919cf6b9eaSign up to the HR L&D Newsletter - https://jgarecruitment.ck.page/23e7b153e7

Corporate learning used to measure success by the size of its course catalogue and the number of completions. That world is fading. Employees now have access to commercial-grade learning inside tools like ChatGPT and Gemini, and leaders expect proof that learning actually shifts performance, culture and results. Lori Niles-Hofmann thinks this is the reckoning the profession has needed for years. Lori is a long-time learning strategist and co-founder of Eight Levers, with more than twenty years of experience in L&D across international banking, consulting and marketing. She specializes in large-scale digital learning transformation and helps organizations use data, platforms and design to make learning a business driver instead of a content factory. Her book, "The Eight Levers of EdTech Transformation: A Field Guide to the New Future-Focused L&D," lays out a practical model for CLOs who know that the role must evolve. In this episode of Leadership NOW, we talk about: • Why L&D will be under extreme pressure from external learning experiences if it does not change • What it means to stop being a course factory and start running campaigns built around triggers and performance • Her view of the LMS as invisible middleware, living inside tools like Copilot, rather than a portal people “go to” • How to work with HR, IT and finance as part of a skills supply chain instead of a standalone training shop • The learning–work continuum, where every task can become a learning opportunity that feeds directly into output • Learning triage, closed-loop reporting and how data can move L&D from order taker to strategic partner Lori also shares why she believes we are only millimeters away from truly contextualized, personalized learning experiences at scale, and what learning leaders must do now to be ready. Find out more: Lori Niles-Hofmann: https://www.loriniles.com/ Dan Pontefract and the Leadership NOW podcast: https://www.danpontefract.com

2026 is a pivotal year for education and training in the SBCA Academy. In this solo episode, Ashley Baker, SBCA's Director of Education highlights the progress made in 2025, and sheds light on what's next. Updated and advanced truss technician training, leadership development, and seamless LMS integration elevate the Academy and make learning even more efficient for companies and their teams. Whether you're a longtime member or simply curious about the industry, this episode offers a clear and exciting look at what's ahead and why it matters.

TL;DRAI literacy is becoming a baseline skill. This episode explores how organizations and individuals are actually building AI capability at work, with a focus on:* Self-directed learning and AI education at scale* Personalized learning journeys versus one-size-fits-all training* The shift from basic AI use to agentic workflows* The role of human strengths—creativity, judgment, and adaptability—in an AI-driven workplaceIn this episode, I'm joined by Erica Salm Rench, an AI educator and leader at Sidecar AI.Sidecar is an AI education platform and learning management system (LMS) designed to help organizations educate their employees on AI through self-directed learning. It combines structured courses, role-based learning paths, and hands-on use cases so individuals can build AI capability at their own pace while organizations raise overall AI fluency.Our conversation explores what AI education actually looks like beyond hype—how people are learning it, how organizations are rolling it out, and why understanding AI is quickly becoming a career differentiator rather than a technical specialty.AI Education Has Shifted from “What Is It?” to “How Do I Use It?”Erica explains that the conversation around AI in associations has changed dramatically over the last several years. Early on, organizations were hesitant to even talk about AI. Today, the question is no longer what is AI? but how can we use it to advance our mission, improve operations, and better serve our members?That shift brings a new challenge: helping people move from curiosity to competence in a way that feels approachable rather than overwhelming.Meeting People Where They AreOne of the strongest themes in our discussion is the importance of meeting learners at their current level of comfort and knowledge. AI education isn't one-size-fits-all.This means combining:* Foundational AI concepts* Role-specific applications (marketing, events, operations)* A growing library of real-world use cases* Ongoing updates as tools evolveThe goal isn't to turn everyone into a AI engineer—it's to help people understand what's possible and apply AI meaningfully in their day-to-day work.From Prompting to Agentic WorkWe spend time talking about the evolution from simple AI use cases—like writing emails or summarizing content—to agentic AI, where systems take action on a user's behalf.This shift matters because it fundamentally changes how work gets done. Instead of just assisting with tasks, AI begins to:* Automate multi-step workflows* Scale work that previously required human labor* Act as a force multiplier rather than a one-off toolWe agree that while much of this is still clunky today, the direction is clear: agents are becoming a core part of how work will be organized.Personalized Learning Is the Future of EducationA major insight from the episode is that personalized learning journeys will define the next phase of education—especially in fast-moving domains like AI.Erica describes how Sidecar uses AI within its learning environment to:* Act as a learning assistant* Answer questions in real time* Reinforce concepts* Help learners connect theory to applicationThis mirrors a broader trend: education becoming less about static courses and more about continuous, adaptive support.The Psychology of Learning AI at WorkWe talk openly about fear—fear of job loss, fear of falling behind, fear of not being “technical enough.” Erica makes the case that leaders have a responsibility to educate their teams, not just for organizational performance, but for people's long-term career resilience.From a psychological perspective, AI education:* Reduces anxiety by replacing uncertainty with understanding* Increases confidence and autonomy* Helps people see AI as a collaborator, not a threatSpending even 20–30 minutes a day learning AI can quickly change how people see their own future at work.Human Strengths Still Matter More Than EverOne of my favorite parts of the conversation is where we zoom out to the human side of all this. As AI removes technical barriers, the differentiator becomes human qualities—creativity, resilience, judgment, adaptability, and the ability to ask good questions.AI doesn't replace these traits. It amplifies them.Used well, AI allows people to overcome past limitations, work around weaknesses, and bring their ideas to life faster than ever before.What Listeners Should Take AwayAI literacy is becoming a baseline skill. The people who thrive won't be the most technical, but the most curious, adaptable, and intentional about learning how to work alongside intelligent systems.Education—done thoughtfully and continuously—is the bridge between fear and opportunity.Where to Find EricaErica is highly active on LinkedIn and can be found through Sidecar AI, where she and her team are building education-first pathways into AI for associations, nonprofits, and mission-driven organizations. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit charleshandler.substack.com

Tu viens de prendre un poste de manager, mais tu doutes. Tu te compares, tu te sens moins expérimenté, tu n'oses pas toujours trancher ?Tu vis peut-être ce qu'on appelle le syndrome de l'imposteur.Alors dans cette vidéo, on voit ensemble :✅ Pourquoi ce sentiment est totalement normal (et même sain !)✅ Les 3 fausses croyances qui alimentent ce doute✅ Et 3 repères simples pour prendre ta place de manager… sans te travestirTu peux être manager sans devenir quelqu'un d'autre. Tu peux apprendre, poser ton cadre, et avancer à ton rythme.RESSOURCES GRATUITES

Dr. Stephanie Valentine (University of Nebraska–Lincoln) joins Sharona and Boz to tell the origin story behind TeachFront—a grading-and-feedback platform she and her students built after getting buried in spreadsheets trying to make standards-based / ungrading-style systems work at scale.They dig into what shifted when grades stopped being “points to litigate” and became feedback for growth, what went wrong (and what finally worked) in those early semesters, and why most LMS gradebooks still force instructors to “hack” systems designed for averages. Stephanie explains how TeachFront supports iterative feedback, reassessments, flexible mastery scales (including specs-style checkboxes), and clearer student-facing progress visuals—without putting points front-and-center.LinksPlease note - any books linked here are likely Amazon Associates links. Clicking on them and purchasing through them helps support the show. Thanks for your support!TeachFront.comYoutube Webinar on Using TeachFrontEpisode 120 - Learning Takes Time with Wendy SmithResourcesThe Center for Grading Reform - seeking to advance education in the United States by supporting effective grading reform at all levels through conferences, educational workshops, professional development, research and scholarship, influencing public policy, and community building.The Grading Conference - an annual, online conference exploring Alternative Grading in Higher Education & K-12.Some great resources to educate yourself about Alternative Grading:The Grading for Growth BlogThe Grading ConferenceThe Intentional Academia BlogRecommended Books on Alternative Grading:Grading for Growth, by Robert Talbert and David ClarkSpecifications Grading, by Linda NilsenUndoing the Grade, by Jesse StommelFollow us on Bluesky, Facebook and Instagram - @thegradingpod. To leave us a...

It's YOUR time to #EdUp with Dr. Richard W. E. Georges, President, H. Lavity Stoutt Community CollegeIn this episode, President Series #429, recorded Live from the Middle States Commission on Higher Education⁠ 2025 Annual ConferenceYOUR host is ⁠⁠Dr. Joe SallustioHow does the only community college in the British Virgin Islands serve 40,000 people across 50 islands with 800 credit students & over 1,000 continuing ed students achieving 90% employment rates?Why did Hurricane Irma in 2017 force HLSCC to move everything to the cloud (LMS, operations, HR & finance) which made them one of the better prepared institutions in their region to respond to COVID without too much loss?How is the transformation phase after recovery & discovery bringing the first fully owned bachelor's degree in education & residential campus with standalone government grants? Listen in to #EdUpThank YOU so much for tuning in. Join us on the next episode for YOUR time to EdUp!Connect with YOUR EdUp Team - ⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠Elvin Freytes⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠& ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dr. Joe Sallustio⁠⁠⁠⁠⁠● Join YOUR EdUp community at ⁠The EdUp Experience⁠We make education YOUR business!P.S. Want to get early, ad-free access & exclusive leadership content to help support the show? Then ⁠⁠​subscribe today​⁠⁠ to lock in YOUR $5.99/m lifetime supporters rate! This offer ends December 31, 2025! 

Depuis plus de 10 ans, l'École du Recrutement forme celles et ceux qui font le recrutement au quotidien.Mais derrière ce succès pédagogique (+10 000 apprenants), il y a aussi l'histoire beaucoup plus fragile, plus humaine et souvent tue : celle d'une entreprise qui traverse une période de turbulence… et d'une dirigeante qui choisit la transparence plutôt que le silence.Marion Cosar en est la PDG depuis maintenant 5 ans. Alors elle nous raconte : comment elle est tombée dans le recrutement “par hasard”, pourquoi leur pédagogie fonctionne si bien, et ce que signifie vraiment piloter une entreprise en redressement judiciaire, au jour le jour.Bonne écoute !À très vite,Prenez soin de vous !Plus d'info :Pour suivre Marion sur LinkedIn : https://www.linkedin.com/in/marioncosar/Pour recevoir gratuitement notre sélection hebdo de conseils pratiques pour animer votre équipe, rendez-vous ici : https://teambakery.com/nlEt n'oubliez pas de laisser 5 étoiles et un gentil commentaire sur Apple Podcast et Spotify si l'épisode vous a plu.CHAPITRAGE00:00:00 - Intro00:01:22 – Présentation de Marion et de son parcours00:05:24 – Comment est-elle arrivée jusqu'à l'École du Recrutement ?00:13:58 – Leur pédagogie00:22:07 – Comment faire en sorte que les formations deviennent des priorités en entreprise ?00:28:43 – Le redressement judiciaire de l'École du Recrutement00:39:43 – Gestion humaine et management en période de doute00:51:22 – Que se passe-t-il depuis le 25 juin ?01:01:42 – Quelles leçons en a-t-elle tirées ?Vous aimerez cet épisode si vous aimez : Outils du Manager • Happy Work • HBR on Leadership • Le Podcast de la Formation • MANAGEMENT & LEADERSHIP • Learn & EnjoyHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Alex is a team leader working with a mix of experienced adjusters and brand-new claims professionals, some assigned to the field and others working behind a desk. Alex has to make sure his team has the training they need to approach their work with confidence. Luckily PLRB.org's Education Hub has everything they need to succeed.   Notable Timestamps [ 00:10 ] - The PLRB Education Hub supports team leaders like Alex with training for both new and experienced adjusters to build confidence in handling claims. [ 01:25 ] - Update #1: A new critical thinking course will help adjusters analyze information, decide when to bring in experts, and resolve claims fairly and in good faith. [ 02:20 ] - Update #2: The annual "Claims Resolution" webinar series will address ethics of automation, bad faith in AI, and how emerging tech affects investigations. [ 03:35 ] - Update #3: A new PLRB designation program aims to take adjusters from entry level through line-of-business-specific training with elective options. [ 05:05 ] - The Education Hub offers 200+ recorded webinars, podcasts, modules, and downloadable slide decks as an on-demand claims knowledge library. [ 06:35 ] - "Test Your Claims Knowledge" microlearning modules use flashcards, definitions, photos, and scenarios for quick, interactive training. [ 08:45 ] - Member companies can integrate PLRB courses, webinars, microlearnings, and even this podcast directly into their own LMS platforms. [ 12:55 ] - PLRB will help members curate custom courses by combining videos, quizzes, and interactives in any sequence to match specific training goals. [ 14:10 ] - The library includes 100+ non-CE modules, about 200 podcasts, some 250 recorded webinars, plus many shorter video series for flexible learning. [ 16:25 ] - Mike summarizes the key points above. Your PLRB Resources Upcoming Events: PLRB Conferences & More! https://www.plrb.org/events PLRB Education HUB: https://members.plrb.org/education Listeners can email education@plrb.org for help navigating resources, requesting new content, or getting tailored curriculum support. Employees of member companies also have access to a searchable legal database, hundreds of hours of video trainings, building code materials, weather data, and even the ability to have your coverage questions answered by our team of attorneys (https://www.plrb.org/ask-plrb/) at no additional charge to you or your company. Subscribe to this Podcast Your Podcast App - Please subscribe and rate us on your favorite podcast app YouTube - Please like and subscribe at @plrb LinkedIN - Please follow at "Property and Liability Resource Bureau" Send us your Scenario! Please reach out to us at 630-509-8704 with your scenario! This could be your "adjuster story" sharing a situation from your claims experience, or a burning question you would like the team to answer. In any case, please omit any personal information as we will anonymize your story before we share. Just reach out to scenario@plrb.org.  Legal Information The views and opinions expressed in this resource are those of the individual speaker and not necessarily those of the Property & Liability Resource Bureau (PLRB), its membership, or any organization with which the presenter is employed or affiliated. The information, ideas, and opinions are presented as information only and not as legal advice or offers of representation. Individual policy language and state laws vary, and listeners should rely on guidance from their companies and counsel as appropriate. Music: "Piece of Future" by Keyframe_Audio. Pixabay. Pixabay License. Font: Metropolis by Chris Simpson. SIL OFL 1.1. Icons: FontAwesome (SIL OFL 1.1) and Noun Project (royalty-free licenses purchased via subscription). Sound Effects: Pixabay (Pixabay License) and Freesound.org (CC0).

Season 2, Episode 18Guests:Courtney Hurley OLY — Three-time Olympian (team bronze), Head Coach, Duke City Fencing; program lead at Menaul SchoolChris Ferrara — Assistant Head of School & Upper School Director, Menaul School (Albuquerque, NM)What we coverCourtney's transition from Olympian to coach: passing on elite habits, culture-building, and motivationThe liberal-arts lens (Chris): teaching how to think, not what to think; “high challenge, high support” academicsWhy daily, in-school training matters: Menaul's 70–85 minute fencing block every day, plus after-school lessons and club boutingTime management that works: block schedules, LMS support on travel days, concrete checkpoints from advisors/homeroomThe parent role: authoritative (not authoritarian); building habits and internal drive without a pressure cookerCompetition as fuel: why early meets accelerate learning and buy-inBuilding a regional pipeline: growing Albuquerque's fencing scene—and why a smaller state can be a strategic advantageThe three-weapon vision: adding dedicated foil/saber coaches, strength training, and an NCAA-style structureScholar-athlete outcomes: how varsity-level sport correlates with college success—and how fencing fits college admissionsLinksLearn more about Menaul School's fencing program (with Duke City Fencing):https://www.menaulschool.org/fencing-find-your-edge/Timestamps0:00 — Two perspectives, one goal: student-athletes who thrive1:17 — Courtney: fencing was “who I am”—why coaching was the natural next step2:30 — Chris: the liberal-arts case for scholar-athletes (mind–body–spirit)4:57 — Using fencing strategically in college planning5:24 — Courtney's scholar-athlete path: school support + travel reality7:21 — Western travel culture & flexible academics (LMS on the road)8:36 — Teaching time management: high challenge, high support10:16 — Coach's role: priorities, buy-in, and aligning goals11:30 — A week in the life: daily fencing block (70–85 min), block classes, after-school lessons14:55 — Culture shift in ABQ: from hobby to competitive16:18 — Why daily training compresses learning curves17:12 — The three-to-five-year plan: three weapons, S&C, university-style structure18:26 — Why athletics belong in school: GPA + varsity sport = college success20:45 — Life skills from fencing: perseverance, interviews, careers22:09 — The parent balance: building habits & ownership26:26 — Making fencing the best part of the day (present-moment focus)27:55 — What Courtney gets from coaching: a new challenge, new results30:07 — Fit questions for families considering Menaul33:00 — Why boarding + fencing can unlock opportunity34:51 — Putting Albuquerque on the map—competitively36:36 — A small-state advantage in college admissionsQuotable“You're a club before you're a team—culture keeps kids showing up. But daily reps inside the school day? That's what accelerates progress.” — Courtney Hurley“The #1 predictor of college success is GPA; the #2 is participation in varsity-level sports.” — Chris FerraraCall to actionCurious about the school-day fencing model? Explore Menaul's program and how it pairs with Duke City Fencing: https://www.menaulschool.org/fencing-find-your-edge/CreditsHost: Bryan Wendell • Guests: Courtney Hurley OLY & Chris Ferrara --First to 15: The Official Podcast of USA FencingHost: Bryan WendellCover art: Manna CreationsTheme music: Brian Sanyshyn

Every few years, the world of product management goes through a phase shift. When I started at Microsoft in the early 2000s, we shipped Office in boxes. Product cycles were long, engineering was expensive, and user research moved at the speed of snail mail. Fast forward a decade and the cloud era reset the speed at which we build, measure, and learn. Then mobile reshaped everything we thought we knew about attention, engagement, and distribution.Now we are standing at the edge of another shift. Not a small shift, but a tectonic one. Artificial intelligence is rewriting the rules of product creation, product discovery, product expectations, and product careers.To help make sense of this moment, I hosted a panel of world class product leaders on the Fireside PM podcast:• Rami Abu-Zahra, Amazon product leader across Kindle, Books, and Prime Video• Todd Beaupre, Product Director at YouTube leading Home and Recommendations• Joe Corkery, CEO and cofounder of Jaide Health • Tom Leung (me), Partner at Palo Alto Foundry• Lauren Nagel, VP Product at Mezmo• David Nydegger, Chief Product Officer at OvivaThese are leaders running massive consumer platforms, high stakes health tech, and fast moving developer tools. The conversation was rich, honest, and filled with specific examples. This post summarizes the discussion, adds my own reflections, and offers a practical guide for early and mid career PMs who want to stay relevant in a world where AI is redefining what great product management looks like.Table of Contents* What AI Cannot Do and Why PM Judgment Still Matters* The New AI Literacy: What PMs Must Know by 2026* Why Building AI Products Speeds Up Some Cycles and Slows Down Others* Whether the PM, Eng, UX Trifecta Still Stands* The Biggest Risks AI Introduces Into Product Development* Actionable Advice for Early and Mid Career PMs* My Takeaways and What Really Matters Going Forward* Closing Thoughts and Coaching Practice1. What AI Cannot Do and Why PM Judgment Still MattersWe opened the panel with a foundational question. As AI becomes more capable every quarter, what is left for humans to do. Where do PMs still add irreplaceable value. It is the question every PM secretly wonders.Todd put it simply: “At the end of the day, you have to make some judgment calls. We are not going to turn that over anytime soon.”This theme came up again and again. AI is phenomenal at synthesizing, drafting, exploring, and narrowing. But it does not have conviction. It does not have lived experience. It does not feel user pain. It does not carry responsibility.Joe from Jaide Health captured it perfectly when he said: “AI cannot feel the pain your users have. It can help meet their goals, but it will not get you that deep understanding.”There is still no replacement for sitting with a frustrated healthcare customer who cannot get their clinical data into your system, or a creator on YouTube who feels the algorithm is punishing their art, or a devops engineer staring at an RCA output that feels 20 percent off.Every PM knows this feeling: the moment when all signals point one way, but your gut tells you the data is incomplete or misleading. This is the craft that AI does not have.Why judgment becomes even more important in an AI worldDavid, who runs product at a regulated health company, said something incredibly important: “Knowing what great looks like becomes more essential, not less. The PM's that thrive in AI are the ones with great product sense.”This is counterintuitive for many. But when the operational work becomes automated, the differentiation shifts toward taste, intuition, sequencing, and prioritization.Lauren asked the million dollar question. “How are we going to train junior PMs if AI is doing the legwork. Who teaches them how to think.”This is a profound point. If AI closes the gap between junior and senior PMs in execution tasks, the difference will emerge almost entirely in judgment. Knowing how to probe user problems. Knowing when a feature is good enough. Knowing which tradeoffs matter. Knowing which flaw is fatal and which is cosmetic.AI is incredible at writing a PRD. AI is terrible at knowing whether the PRD is any good.Which means the future PM becomes more strategic, more intuitive, more customer obsessed, and more willing to make thoughtful bets under uncertainty.2. The New AI Literacy: What PMs Must Know by 2026I asked the panel what AI literacy actually means for PMs. Not the hype. Not the buzzwords. The real work.Instead of giving gimmicky answers, the discussion converged on a clear set of skills that PMs must master.Skill 1: Understanding context engineeringDavid laid this out clearly: “Knowing what LMS are good at and what they are not good at, and knowing how to give them the right context, has become a foundational PM skill.”Most PMs think prompt engineering is about clever phrasing. In reality, the future is about context engineering. Feeding models the right data. Choosing the right constraints. Deciding what to ignore. Curating inputs that shape outputs in reliable ways.Context engineering is to AI product development what Figma was to collaborative design. If you cannot do it, you are not going to be effective.Skill 2: Evals, evals, evalsRami said something that resonated with the entire panel: “Last year was all about prompts. This year is all about evals.”He is right.• How do you build a golden dataset.• How do you evaluate accuracy.• How do you detect drift.• How do you measure hallucination rates.• How do you combine UX evals with model evals.• How do you decide what good looks like.• How do you define safe versus unsafe boundaries.AI evaluation is now a core PM responsibility. Not exclusively. But PMs must understand what engineers are testing for, what failure modes exist, and how to design test sets that reflect the real world.Lauren said her PMs write evals side by side with engineering. That is where the world is going.Skill 3: Knowing when to trust AI output and when to override itTodd noted: “It is one thing to get an answer that sounds good. It is another thing to know if it is actually good.”This is the heart of the role. AI can produce strategic recommendations that look polished, structured, and wise. But the real question is whether they are grounded in reality, aligned with your constraints, and consistent with your product vision.A PM without the ability to tell real insight from confident nonsense will be replaced by someone who can.Skill 4: Understanding the physics of model changesThis one surprised many people, but it was a recurring point.Rami noted: “When you upgrade a model, the outputs can be totally different. The evals start failing. The experience shifts.”PMs must understand:• Models get deprecated• Models drift• Model updates can break well tuned prompts• API pricing has real COGS implications• Latency varies• Context windows vary• Some tasks need agents, some need RAG, some need a small finetuned modelThis is product work now. The PM of 2026 must know these constraints as well as a PM of the cloud era understood database limits or API rate limits.Skill 5: How to construct AI powered prototypes in hours, not weeksIt now takes one afternoon to build something meaningful. Zero code required. Prompt, test, refine. Whether you use Replit, Cursor, Vercel, or sandboxed agents, the speed is shocking.But this makes taste and problem selection even more important. The future PM must be able to quickly validate whether a concept is worth building beyond the demo stage.3. Why Building AI Products Speeds Up Some Cycles and Slows Down OthersThis part of the conversation was fascinating because people expected AI to accelerate everything. The panel had a very different view.Fast: Prototyping and concept validationLauren described how her teams can build working versions of an AI powered Root Cause Analysis feature in days, test it with customers, and get directional feedback immediately.“You can think bigger because the cost of trying things is much lower,” she said.For founders, early PMs, and anyone validating hypotheses, this is liberating. You can test ten ideas in a week. That used to take a quarter.Slow: Productionizing AI featuresThe surprising part is that shipping the V1 of an AI feature is slower than most expect.Joe noted: “You can get prototypes instantly. But turning that into a real product that works reliably is still hard.”Why. Because:• You need evals.• You need monitoring.• You need guardrails.• You need safety reviews.• You need deterministic parts of the workflow.• You need to manage COGS.• You need to design fallbacks.• You need to handle unpredictable inputs.• You need to think about hallucination risk.• You need new UI surfaces for non deterministic outputs.Lauren said bluntly: “Vibe coding is fast. Moving that vibe code to production is still a four month process.”This should be printed on a poster in every AI startup office.Very Slow: Iterating on AI powered featuresAnother counterintuitive point. Many teams ship a great V1 but struggle to improve it significantly afterward.David said their nutrition AI feature launched well but: “We struggled really hard to make it better. Each iteration was easy to try but difficult to improve in a meaningful way.”Why is iteration so difficult.Because model improvements may not translate directly into UX improvements. Users need consistency. Drift creates churn. Small changes in context or prompts can cause large changes in behavior.Teams are learning a hard truth: AI powered features do not behave like typical deterministic product flows. They require new iteration muscles that most orgs do not yet have.4. The PM, Eng, UX Trifecta in the AI EraI asked whether the classic PM, Eng, UX triad is still the right model. The audience was expecting disagreement. The panel was surprisingly aligned.The trifecta is not going anywhereRami put it simply: “We still need experts in all three domains to raise the bar.”Joe added: “AI makes it possible for PMs to do more technical work. But it does not replace engineering. Same for design.”AI blurs the edges of the roles, but it does not collapse them. In fact, each role becomes more valuable because the work becomes more abstract.• PMs focus on judgment, sequencing, evaluation, and customer centric problem framing• Engineers focus on agents, systems, architecture, guardrails, latency, and reliability• Designers focus on dynamic UX, non deterministic UX patterns, and new affordances for AI outputsWhat does changeAI makes the PM-Eng relationship more intense. The backbone of AI features is a combination of model orchestration, evaluation, prompting, and context curation. PMs must be tighter than ever with engineering to design these systems.David noted that his teams focus more on individual talents. Some PMs are great at context engineering. Some designers excel at polishing AI generated layouts. Some engineers are brilliant at prompt chaining. AI reveals strengths quickly.The trifecta remains. The skill distribution within it evolves.5. The Biggest Risks AI Introduces Into Product DevelopmentWhen we asked what scares PMs most about AI, the conversation became blunt and honest. Risk 1: Loss of user trustLauren warned: “If people keep shipping low quality AI features, user trust in AI erodes. And then your good AI product suffers from the skepticism.”This is very real. Many early AI features across industries are low quality, gimmicky, or unreliable. Users quickly learn to distrust these experiences.Which means PMs must resist the pressure to ship before the feature is ready.Risk 2: Skill atrophyTodd shared a story that hit home for many PMs. “Junior folks just want to plug in the prompt and take whatever the AI gives them. That is a recipe for having no job later.”PMs who outsource their thinking to AI will lose their judgment. Judgment cannot be regained easily.This is the silent career killer.Risk 3: Safety hazards in sensitive domainsDavid was direct: “If we have one unsafe output, we have to shut the feature off. We cannot afford even small mistakes.”In healthcare, finance, education, and legal industries, the tolerance for error is near zero. AI must be monitored relentlessly. Human in the loop systems are mandatory. The cycles are slower but the stakes are higher.Risk 4: The high bar for AI compared to humansJoe said something I have thought about for years: “AI is held to a much higher standard than human decision making. Humans make mistakes constantly, but we forgive them. AI makes one mistake and it is unacceptable.”This slows adoption in certain industries and creates unrealistic expectations.Risk 5: Model deprecation and instabilityRami described a real problem AI PMs face: “Models get deprecated faster than they get replaced. The next model is not always GA. Outputs change. Prompts break.”This creates product instability that PMs must anticipate and design around.Risk 6: Differentiation becomes hardI shared this perspective because I see so many early stage startups struggle with it.If your whole product is a wrapper around an LLM, competitors will copy you in a week. The real differentiation will not come from using AI. It will come from how deeply you understand the customer, how you integrate AI with proprietary data, and how you create durable workflows.6. Actionable Advice for Early and Mid Career PMsThis was one of my favorite parts of the panel because the advice was humble, practical, and immediately useful.A. Develop deep user empathy. This will become your biggest differentiator.Lauren said it clearly: “Maintain your empathy. Understand the pain your user really has.”AI makes execution cheap. It makes insight valuable.If you can articulate user pain precisely.If you can differentiate surface friction from underlying need.If you can see around corners.If you can prototype solutions and test them in hours.If you can connect dots between what AI can do and what users need.You will thrive.Tactical steps:• Sit in on customer support calls every week.• Watch 10 user sessions for every feature you own.• Talk to customers until patterns emerge.• Ask “why” five times in every conversation.• Maintain a user pain log and update it constantly.B. Become great at context engineeringThis will matter as much as SQL mattered ten years ago.Action steps:• Practice writing prompts with structured context blocks.• Build a library of prompts that work for your product.• Study how adding, removing, or reordering context changes output.• Learn RAG patterns.• Learn when structured data beats embeddings.• Learn when smaller local models outperform big ones.C. Learn eval frameworksThis is non negotiable.You need to know:• Precision vs recall tradeoffs• How to build golden datasets• How to design scenario based evals for UX• How to test for hallucination• How to monitor drift• How to set quality thresholds• How to build dashboards that reflect real world input distributionsYou do not need to write the code.You do need to define the eval strategy.D. Strengthen your product senseYou cannot outsource product taste.Todd said it best: “Imagine asking AI to generate 20 percent growth for you. It will not tell you what great looks like.”To strengthen your product sense:• Review the best products weekly.• Take screenshots of great UX patterns.• Map user flows from apps you admire.• Break products down into primitives.• Ask yourself why a product decision works.• Predict what great would look like before you design it.The PMs who thrive will be the ones who can recognize magic when they see it.E. Stay curiousRami's closing advice was simple and perfect: “Stay curious. Keep learning. It never gets old.”AI changes monthly. The PM who is excited by new ideas will outperform the PM who clings to old patterns.Practical habits:• Read one AI research paper summary each week.• Follow evaluation and model updates from major vendors.• Build at least one small AI prototype a month.• Join AI PM communities.• Teach juniors what you learn. Nothing accelerates mastery faster.F. Embrace velocity and side projectsTodd said that some of his biggest career breakthroughs came from solving problems on the side.This is more true now than ever.If you have an idea, you can build an MVP over a weekend. If it solves a real problem, someone will notice.G. Stay close to engineeringNot because you need to code, but because AI features require tighter PM engineering collaboration.Learn enough to be dangerous:• How embeddings work• How vector stores behave• What latency tradeoffs exist• How agents chain tasks• How model versioning works• How context limits shape UX• Why some prompts blow up API costsIf you can speak this language, you will earn trust and accelerate cycles.H. Understand the business deeplyJoe's advice was timeless: “Know who pays you and how much they pay. Solve real problems and know the business model.”PMs who understand unit economics, COGS, pricing, and funnel dynamics will stand out.7. Tom's Takeaways and What Really Matters Going ForwardI ended the recording by sharing what I personally believe after moderating this discussion and working closely with a variety of AI teams over the past 2 years.Judgment becomes the most valuable PM skillAs AI gets better at analysis, synthesis, and execution, your value shifts to:• Choosing the right problem• Sequencing decisions• Making 55 45 calls• Understanding user pain• Making tradeoffs• Deciding when good is good enough• Defining success• Communicating vision• Influencing the orgAgents can write specs.LLMs can produce strategies.But only humans can choose the right one and commit.Learning speed becomes a competitive advantageI said this on the panel and I believe it more every month.Because of AI, you now have:• Infinite coaches• Infinite mentors• Infinite experts• Infinite documentation• Infinite learning loopsA PM who learns slowly will not survive the next decade. Curiosity, empathy, and velocity will separate great from goodMany panelists said versions of this. The common pattern was:• Understand users deeply• Combine multiple tools creatively• Move quickly• Learn constantlyThe future rewards generalists with taste, speed, and emotional intelligence.Differentiation requires going beyond wrapper appsThis is one of my biggest concerns for early stage founders. If your entire product is a wrapper around a model, you are vulnerable.Durable value will come from:• Proprietary data• Proprietary workflows• Deep domain insight• Organizational trust• Distribution advantage• Safety and reliability• Integration with existing systemsAI is a component, not a moat.8. Closing ThoughtsHosting this panel made me more optimistic about the future of product management. Not because AI will not change the job. It already has. But because the fundamental craft remains alive.Product management has always been about understanding people, making decisions with incomplete information, telling compelling stories, and guiding teams through ambiguity and being right often.AI accelerates the craft. It amplifies the best PMs and exposes the weak ones. It rewards curiosity, empathy, velocity, and judgment.If you want tailored support on your PM career, leadership journey, or executive path, I offer 1 on 1 career, executive, and product coaching at tomleungcoaching.com.OK team. Let's ship greatness. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit firesidepm.substack.com

Tu ouvres tes mails avant 6h du mat' ? Tu as l'impression de courir après le temps sans jamais vraiment avancer ? Tu n'es pas seul·e.Dans cette vidéo, on parle de deux pièges invisibles qui sabotent nos journées : la surcharge cognitive et la fatigue décisionnelle.Mais bonne nouvelle : il existe des outils concrets pour sortir de ce cercle infernal. Je te partage :

Education might be the most underrated marketing weapon in business, and today, we're pulling back the curtain on exactly why. In this episode of the Marketing Boost Solutions Podcast, featured guest Christopher Dundy, Marine veteran and CEO of Flagship LMS, reveals how training can transform your business from chaotic and reactive to scalable and unstoppable. With more than 1,000 custom e-learning courses built and full-service LMS platforms launched in under a week, Chris brings the kind of experience entrepreneurs rarely get access to. He breaks down the strategies top organizations use to boost retention, strengthen customer trust, and engineer consistent, repeatable systems that fuel growth.Whether you're training customers, affiliates, or your internal teams, Chris shows how automation, micro-learning, and smart systems turn education into a true marketing asset, one that multiplies loyalty, accelerates sales, and sets your brand apart. This conversation will completely reshape how you think about scaling, onboarding, and creating advocates at every level. If you've ever wanted a blueprint for building long-term trust at scale, this episode delivers it. This isn't just education … It's a strategy. And it will change the way you grow.

What should training providers expect from new global learning systems? Find out as John Leh talks with LMS innovator Nick Eriksen on this Talented Learning Show podcast! The post Podcast 106: How Innovative Tools Improve Global Learning Results appeared first on Talented Learning.

This week, we sit down with Seth Smith, founder of the rapidly growing lab software company Greatlab.io (https://www.greatlab.io/), and Ryan Alexander from Vitality Dental Arts (https://www.vitalitydentalarts.com/), who's been living the GreatLab life since May and has plenty to say about it. Seth shares the long, winding road from e-commerce to dentistry, to clear aligners, to scanners, and finally to building what he hopes becomes the most modern, integrated, and speed-driven LMS in the industry. He talks workflow obsession, eliminating downloads, killing paper dockets, listening to lab pain points, and why he's visited over 100 labs (and keeps going). Ryan brings the real-world perspective from a 100-tech lab that went through multiple LMS transitions before landing on GreatLab. He explains how their booking teams shrank, inbound calls dropped by 50%, audits disappeared, and technicians suddenly found computers they “didn't have” once the system made their jobs easier. From the CRM that kills phone tag to ScanHub pulling every scanner into one feed, Ryan breaks down exactly what changed on the bench, in customer service, and across production. We also dig into bad scans (yes, 20% of them), doctor communication, automatic file routing, task automation, shipping integrations, data migration fears, and why some labs should not switch systems unless they're truly ready to modernize. If you've ever wondered what a cloud-based, automation-heavy, lab-built-from-the-ground-up LMS looks like—or why another lab described GreatLab as “a Ferrari while everyone else is a Civic”—this episode lays it all out. Learn more or request a demo: greatlab.io Find them in Vegas at NADL Visions (https://www.nadl.org/nadl-vision-21) and in Chicago at Lab Day (https://lmtmag.com/lmtlabday)! Happy Holidays from Ivoclar! As the year comes to a close, all of us at Ivoclar want to extend our heartfelt gratitude to the incredible Voices From the Bench community. Thank you for your partnership, your trust, and the support you've shown throughout the year. From our Ivoclar family to yours, we wish you a joyful, healthy, and safe holiday season. May your days be merry, your nights be bright, and your smiles shine like freshly fallen snow. Ho, ho, ho — Happy Holidays from Ivoclar! Elvis and Barb are gearing up for their chat with the HyperDent Dude himself, Jordan Greenberg from FOLLOW-ME! Technology (https://www.follow-me-tech.com/). At LabFest, Elvis found out that every hyperDENT (https://www.follow-me-tech.com/hyperdent/) license comes with Template Editor Lite — a built-in feature that lets you make safe, customized tweaks to your milling strategies. Whether you want to prioritize surface quality or speed, this tool gives you the control to fine-tune your results while FOLLOW-ME! keeps everything validated and reliable. Because in the end, us lab techs love to tinker — and hyperDENT makes it easy to choose your own CAM-venture. Special Guests: Ryan Alexander and Seth Smith.

Devenir manager pour la première fois, c'est déjà un défi. Mais quand il s'agit de manager un ancien collègue, la situation peut vite devenir délicate.Alors dans cette vidéo, je partage :✅ Les 3 erreurs les plus fréquentes à éviter,✅ Mes 3 conseils concrets pour poser un cadre clair, humain et adapté,✅ Comment transformer cette situation sensible en véritable levier de confiance et de performance.

Information access: While many have Copilot licenses, usage is low beyond basic tasks like email and meeting summaries. The main challenge with adoption is providing guidance within apps like PowerPoint, Excel, Dynamics, and Word so users can access help exactly when they need it. This is something Rehmani's company, VisualSP, and his training platform, copilottrainingpackage.com, specialize in. "I'm a big proponent of giving people 'at the moment need' information," he notes.Training paths: Copilottrainingpackage.com enables users to go down different "training paths," explains Rehmani. Specifically, there are pre-built PowerPoint training modules covering key topics like prompt creation and preventing hallucinations. Additionally, there's learning management system (LMS)-ready video content on Copilot use cases in Word, Excel, and other tools for on-demand learning. Finally, the platform offers optional live training sessions for trainers and power users to ensure effective adoption and ROI from Copilot. "At the end of the day, it's all about making Copilot into ROI and not just an expense layer."What to expect: Rehmani describes the "anatomy" of the program. It uses seven modules to teach trainers and power users how to craft effective prompts, reduce Copilot errors, and apply specific workflows for high-impact ROI. Then, participants share this knowledge internally, enabling time savings and efficiency across their organizations.End-of-year pricing: Users can take advantage of this resource with special pricing through the end of the year. Users can purchase the standalone package for $4,950 or the package and live training for $8,950, all of which could be delivered in 2026, explains Rehmani. Visit Cloud Wars for more.

Steve Sullivan joins me for a lively conversation about podcasting, tutor videos, and digital A&P teaching. We explore how he humanizes online learning, why students crave multiple approaches, and what he's learned after 23 years of teaching. From LMS-independent course design to global podcast reach, Steve shares practical strategies and inspiring stories that can help any A&P instructor evolve their teaching. 0:00:00 | Introduction 0:00:49 | This Episode 0:02:28 | Becoming Steve Sullivan 0:06:41 | Your Teaching Voice* 0:07:30 | Why Start a Podcast? 0:14:03 | Farewell to TAPP ed* 0:15:45 | Growing a Podcast & Growing Through It 0:19:56 | Authors Alert * 0:21:05 | Digital Teaching That Actually Helps 0:30:59 | When Our Tools Disappear* 0:32:48 | A&P Tools That Fit Any Textbook 0:48:36 | Collaboration Audit* 0:49:14 | What 23 Years of A&P Reveals 1:01:10 | Innovation Check * 1:01:44 | Staying Connected * Breaks ★ If you cannot see or activate the audio player, go to: theAPprofessor.org/podcast-episode-156.html ❓ Please take the anonymous survey: theAPprofessor.org/survey ☝️ Questions & Feedback: 1-833-LION-DEN (1-833-546-6336)

Tu finis tes journées épuisé·e, avec l'impression de ne jamais avoir assez avancé ? C'est normal : tu es peut-être encore dans un fonctionnement d'expert alors que ton rôle a changé. Être manager, ce n'est pas “tout faire”, c'est apprendre à organiser, arbitrer et protéger son temps. Dans cet épisode, je partage 5 leviers concrets pour reprendre le contrôle sur tes journées : 1️⃣ Prioriser ta semaine au lieu de ta journée 2️⃣ Bloquer des temps de concentration 3️⃣ Orienter ta disponibilité pour ton équipe 4️⃣ Requalifier les sollicitations entrantes 5️⃣ Créer un rituel hebdo avec toi-même

Continuum is solving the multi-party return problem in B2B supply chain—a transaction involving distributors, manufacturers, and end users that previously took 30-45 days and now completes in 30-45 seconds. In this episode of Category Visionaries, we sat down with Alex Witcpalek, CEO and Founder of Continuum, to unpack how he's building what he calls "reverse EDI" in a market of 1.5 million distribution and manufacturing companies across North America. After 13 years selling technology into this space, Alex is now growing 8x year-over-year by turning customers into the primary acquisition channel through network effects. Topics Discussed: Why multi-party returns require replicating order management, warehouse management, and procurement systems simultaneously The tactical sequencing of building network businesses: solving for independent value, achieving critical mass, then activating network effects How Continuum navigates deep ERP integrations (SAP, Oracle, NetSuite, Epicor) plus bespoke business logic across multiple supply chain tiers Facebook retargeting, BDR outbound, events, and customer referrals as the four channels driving growth in a non-PLG market Why business model differentiation is the only remaining moat when technical barriers collapse Building domain expertise distribution systems using AI-powered LMS fed by sales call recordings GTM Lessons For B2B Founders: Choose problems where you can capture 100% of addressable market, not fractional share: Alex deliberately avoided competing in CRM, sales order automation, or accounts payable—categories where even dominant players cap at 25-30% market penetration. Instead, he targeted multi-party reverse logistics, a greenfield problem no one else was solving. This strategic choice eliminates competitive displacement risk and allows every prospect conversation to focus on change management rather than competitive differentiation. Founders should map their TAM against competitive saturation: markets where you can own the entire category create fundamentally different growth trajectories than fighting for fragments. Sequence network businesses: independent value → critical mass → network activation: Alex was told by investors 18 months in that network effects "weren't going to work." His insight: "When you don't have a network, you don't sell the network. It's just in your plans and how you're building." Continuum sold P&L impact, manual labor reduction, and customer experience improvements to early adopters while building network infrastructure invisibly. Only after achieving density in specific verticals (HVAC, electrical, plumbing) did they surface the network value proposition. This sequencing prevents the cold-start problem—founders building marketplace or network businesses must design standalone value that makes the first 100 customers successful independent of network density. Exploit high pain thresholds in legacy industries as competitive barriers: Supply chain companies accept 30-45 day return cycles, manual warranty claims on paper, and playing "guess who" by phone to find inventory across distributor branches. Alex notes they have "extremely high pain threshold" from living with broken systems for decades. While this creates longer education cycles, it also means competitors won't enter (too hard) and once you prove ROI, switching costs become prohibitive. Founders should reframe customer inertia: industries tolerating obvious inefficiencies offer category creation opportunities with built-in moats, not just sales friction. Business model architecture is the only defensible moat—technical differentiation is dead: Alex is building his own e-signature platform (Continue Sign) and AI LMS using vibe coding to prove technical moats no longer exist. Continuum's defensibility comes entirely from network lock-in: displacing them requires disconnecting manufacturers like Carrier, Daikin, and Bosch plus their entire distributor ecosystems simultaneously. He references EDI (1960s technology still dominant today) as proof that network effects create permanent advantages. Founders must architect switching costs, network density, or proprietary data advantages into their business model—technology alone provides zero protection in the AI era. Match channel strategy to actual ICP behavior, not SaaS conventions: Continuum's top lead source is customer-driven network growth—distributors recruiting manufacturers and vice versa. Facebook retargeting works because their 50+ year-old supply chain buyers "are trying to comment on their grandkids' pictures," not scrolling LinkedIn. BDR outbound still delivers high win rates in an industry where business happens on handshakes, making events critical. This channel mix would fail for PLG products but works perfectly for enterprise cycles with $40K ACVs and 90-day sales processes. Founders should ethnographically research where their specific buyers actually spend attention rather than defaulting to LinkedIn, content marketing, or PLG based on what works in adjacent categories. Use 90-day enterprise cycles and multi-stakeholder complexity as qualification, not friction: Continuum runs enterprise sales motions for $40K deals because multi-party returns touch 16 constituents across sales, customer service, fleet, supply chain, warehouse, purchasing, and finance. Rather than trying to simplify buying, Alex uses this complexity as a filter—companies willing to coordinate VP of Supply Chain, COO, and CFO alignment are serious buyers. He layers three value propositions (P&L impact, labor reduction, customer experience) knowing different stakeholders weight them differently. Founders selling into complex environments should embrace multi-threading as a qualification mechanism that improves win rates and reduces churn, not overhead to eliminate. //  Sponsors:  Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire  Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM  

How do schools prepare for the changing landscape of both education and business with the pace of advancements in technology and specifically in artificial intelligence (AI)? What lessons were learned from the rapid shift to digital that happened during the pandemic and how can that knowledge improve the way higher education works today?Shawn Miller is the Associate Provost for Digital Learning and Strategy at Rice University. Shawn serves as the key steward of Rice's digital strategy where he leverages best practices already in place across the University and also introduces new approaches and collaborations to be scaled.Shawn and host David Mansouri discuss the transformative impact of digital learning and AI on higher education. Shawn shares his career journey, from his time at the University of Texas at El Paso (UTEP) and Duke University, through to his current role at Rice. Their conversation explores Rice's vision for digital education, the integration of AI tools in learning, and the future of teaching and learning at Rice. Shawn also highlights the challenges and ethical concerns related to AI, including the aspects of AI in education that he is more interested in than using it to just continue the way things were taught before. Shawn also lays out his view of some essential skills students need to thrive in an AI-powered world.Let us know you're listening by filling out this form. We will be sending listeners Beyond the Hedges Swag every month.Episode Guide:01:01 Shawn Miller's introduction and background06:16 The Vision for Digital Learning at Rice14:23 Impact of COVID-19 on Digital Learning19:30 Integrating AI into Education at Rice23:47 Promising AI Applications in Teaching26:19 AI's Role in Learning and Analytics28:55 Challenges and Ethical Concerns of AI33:14 Skills for an AI-Powered World35:52 Future of Teaching and Learning at Rice38:51 Rapid Fire QuestionsBeyond The Hedges is a production of Rice University and is produced by University FM.Episode Quotes:Rethinking education in the age of AI27:39: What's really most frustrating to me about the first wave of AI education tools that we got thrown at us, right, as institutions—and I'm talking even about startups—they're mostly founded on the idea that whatever we are doing now in classes and in teaching is somehow the right way to do it, right? So, it's like, how can you speed up creating better multiple-choice tests, right? Or how could you grade all these papers that you've got to grade, right? Well, maybe the outcome for that class isn't that you should write a paper in the first place, right? But now is our chance to ask that. And I know this is frustrating for faculty…[28:61] But it's a good opportunity for us to, but then it's been frustrating to have all these edtech ventures come out where it's like, “But AI could make all the things better!” And it's like, yeah, but you're talking about making traditional education faster, cheaper, more productive. You're not talking about helping people learn better.What's a better question for AI in education11:16: Maybe the answer for AI is not what can you have the AI do that you used to do, as much as what can I do even more of or even better. And I think that's a good mindset for us to be in, in education.The pandemic digital experience15:34: I think you have two things that people tend to say about the pandemic digital learning experience. One is that it was horrible, and they'd never want to do it again. Then, for those who knew about online learning or had done it before the pandemic, they'll say, “Well, that's because no one did it right,” quote unquote. And I think we can honor both of those viewpoints. But I'd also say that we learned a few things, right? One thing is most faculty learned how to use the LMS and Zoom. And if you think back pre-COVID, how many people could launch a webinar or call a virtual meeting, right? And how many staff did it take to set up a global web conference? It was incredibly expensive. It took a lot of time. You had to schedule it, and now people just trigger these things, right? I think the second thing we learned is that hybrid work can definitely work. And I've gone on record a few times saying that the future of work maybe parallels the future of hybrid and online learning.Show Links:Rice Digital Learning and StrategyRice AlumniAssociation of Rice Alumni | FacebookRice Alumni (@ricealumni) | X (Twitter)Association of Rice Alumni (@ricealumni) | Instagram Host Profiles:David Mansouri | LinkedInDavid Mansouri '07 | Alumni | Rice UniversityDavid Mansouri (@davemansouri) | XDavid Mansouri | TNScoreGuest Profiles:Shawn Miller | Faculty ProfileShawn Miller | LinkedIn ProfileShawn Miller | Social Profile on X

This episode I'm joined by the brilliant Claire Zarb, homeopath and mentor for practitioners building confident, ethical practice.We get into Claire's journey from corporate sales to homeopathy, how a personal health awakening led her to train at the College of Practical Homeopathy, and why a flexible toolkit matters in today's multilayered cases. Claire explains practical homeopathy in clear terms, shares real-world detox and nosode insights, and offers generous advice for new practitioners finding their niche.Join us for an honest, hopeful conversation about what healing looks like in real life.Key takeawaysPractical homeopathy 101: why most modern cases need more than one methodDetox as detective work: timing, layers, and when a drug history distorts the caseNosodes without fear: when strep, staph, bowel nosodes and Carcinosin help move a casePotency made simple: why 30C is a solid start, when 200C or higher makes sense, how LMs can be gentle and deepNiching grows clinics: people search by problem, not modalityEnergy and boundaries: protecting your focus, referring out, trusting the right clients to find youWe also talk aboutStarting out: blog-led marketing, local talks, acute pop-up clinics, networking that actually worksBuilding confidence in public despite criticism and noiseHealy and frequency tools as supportive extras when cases feel stuckHome use of acutes alongside clear ethics and red flagsThe bigger vision for bringing safe, simple acute homeopathy into everyday careResources mentionedWork with Claire: visit here website hereFollow Claire on Instagram hereIf you're ready to build confident acute skills, the Practitioner of Integrative Homeopathy: Acute Prescribing course is now open for enrolment, and Claire is one of our tutors. You'll learn acute prescribing and much more within clear ethical boundaries. Learn more here.Send us a text Want the inside scoop on Lisa's game-changing Practitioner-level course launching in January 2026? Check it out hereJoin Lisa's brand new global homeopathy community here - it's for everyone who loves homeopathy.

In this bonus episode recorded live at EDUCAUSE in Nashville, Dustin spoke with Ryan Lufkin, VP of Global Academic Strategy at Instructure, about the current crossroads in higher ed, technology, and workforce readiness. The conversation touches on findings from the latest State of Learning and Readiness report, the real (and perceived) gaps in student skill preparedness, and why now is the time for institutions to embrace AI—not fear it. Ryan also offers a behind-the-scenes look at Canvas Career and how Instructure is broadening its mission beyond just a learning management system.Guest Name: Ryan Lufkin - VP of Global Academic Strategy at InstructureGuest Social: LinkedInGuest Bio: Ryan Lufkin is the VP of Global Academic Strategy at Instructure (makers of Canvas, the leading education technology used by schools across the country). Ryan has been working with colleges and universities in the educational technology space for over 20 years, beginning with Utah-based start-up Campus Pipeline, the first html portal for higher education. He has worked for large ERP solutions like SungardHE and Ellucian helping evolve those systems to the Cloud, driven mobile adoption in teaching and learning technology, and developed curriculum for both corporate and higher education institutions. Ryan has helped lead Canvas' evolution from an LMS to a full learning management platform to support the challenges facing colleges and universities of all sizes. - - - -Connect With Our Host:Dustin Ramsdellhttps://www.linkedin.com/in/dustinramsdell/About The Enrollify Podcast Network:The Higher Ed Geek is a part of the Enrollify Podcast Network. If you like this podcast, chances are you'll like other Enrollify shows too!Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Power is the new bottleneck, reasoning got real, and the business finally caught up. In this wide-ranging conversation, I sit down with Nathan Benaich, Founder and General Partner at Air Street Capital, to discuss the newly published 2025 State of AI report—what's actually working, what's hype, and where the next edge will come from. We start at the physical layer: energy procurement, PPAs, off-grid builds, and why water and grid constraints are turning power—not GPUs—into the decisive moat.From there, we move into capability: reasoning models acting as AI co-scientists in verifiable domains, and the “chain-of-action” shift in robotics that's taking us from polished demos to dependable deployments. Along the way, we examine the market reality—who's making real revenue, how margins actually behave once tokens and inference meet pricing, and what all of this means for builders and investors.We also zoom out to the ecosystem: NVIDIA's position vs. custom silicon, China's split stack, and the rise of sovereign AI (and the “sovereignty washing” that comes with it). The policy and security picture gets a hard look too—regulation's vibe shift, data-rights realpolitik, and what agents and MCP mean for cyber risk and adoption.Nathan closes with where he's placing bets (bio, defense, robotics, voice) and three predictions for the next 12 months. Nathan BenaichBlog - https://www.nathanbenaich.comX/Twitter - https://x.com/nathanbenaichSource: State of AI Report 2025 (9/10/2025)Air Street CapitalWebsite - https://www.airstreet.comX/Twitter - https://x.com/airstreetMatt Turck (Managing Director)Blog - https://www.mattturck.comLinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturckFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCap(0:00) – Cold Open: “Gargantuan money, real reasoning”(0:40) – Intro: State of AI 2025 with Nathan Benaich(02:06) – Reasoning got real: from chain-of-thought to verified math wins(04:11) – AI co-scientist: hypotheses, wet-lab validation, fewer “dumb stochastic parrots” (04:44) – Chain-of-action robotics: plan → act you can audit(05:13) – Humanoids vs. warehouse reality: where robots actually stick first(06:32) – The business caught up: who's making real revenue now(08:26) – Adoption & spend: Ramp stats, retention, and the shadow-AI gap(11:00) – Margins debate: tokens, pricing, and the thin-wrapper trap(14:02) – Bubble or boom? Wall Street vs. SF vibes (and circular deals)(19:54) – Power is the bottleneck: $50B/GW capex and the new moat(21:02) – PPAs, gas turbines, and off-grid builds: the procurement game(23:54) – Water, grids, and NIMBY: sustainability gets political(25:08) – NVIDIA's moat: 90% of papers, Broadcom/AMD, and custom silicon(28:47) – China split-stack: Huawei, Cambricon, and export zigzags(30:30) – Sovereign AI or “sovereignty washing”? Open source as leverage(40:40) – Regulation & safety: from Bletchley to “AI Action”—the vibe shift(44:06) – Safety budgets vs. lab spend; models that game evals(44:46) – Data rights realpolitik: $1.5B signals the new training cost(47:04) – Cyber risk in the agent era: MCP, malware LMs, state actors(50:19) – Agents that convert: search → commerce and the demo flywheel(54:18) – VC lens: where Nathan is investing (bio, defense, robotics, voice)(68:29) – Predictions: power politics, AI neutrality, end-to-end discoveries(1:02:13) – Wrap: what to watch next & where to find the report (stateof.ai)

Have you ever thought about what we need to understand regarding the use of LM potencies?   Join us for our latest episode, in which Gabriel will discuss his practice, which is based on homeopathic potencies known as LMs, and its various benefits, as well as his wonderful experience practicing homeopathy and his idea of sharing this knowledge with native Amazonians.   Gabriel Cambraia Neiva, Ph.D., RSHom, is a homeopath who graduated from the North West College of Homeopathy in Manchester. Following the principles of classical homeopathy, Gabriel has been treating children and adults for the last few years, both in the United Kingdom and in Brazil. From mental health to respiratory and skin complaints, Gabriel supports patients to achieve better health during chronic and acute conditions. Gabriel also offers workshops on homeopathic prescribing. He is a registered member of the Society of Homeopaths, UK, where his practice is based. Gabriel's practice is mostly based on homeopathic potencies called LMs, which are gentle, water-based remedies. According to the father of homeopathy, the physician Samuel Hahnemann, these remedies are the ones most perfected, as there are hardly any aggravations. Reactions are seen faster, and the duration of treatment is drastically reduced. Although usually prescribing one remedy at a time, according to the classical science of homeopathy, there are cases in which support remedies might be needed - these are usually prescribed in lower, centesimal potencies.   Check out these episode highlights: 02:09 - How was Gabriel first introduced to homeopathy 03:21 - His incredible story of how homeopathy helped his son 05:15 - What sparked his interest in LM potencies 11:49 - The usual successful treatment with LMs 13:27 - The various advantages of using LM potencies 16:48 - The ideal starting point in using LMs 18:53 - The proper way of administering LMs 27:44 - Homeopathy as a first line of healthcare in Brazil 30:01 - Homeopathy and shamanism in the Amazon   Know more about Gabriel https://homeopathia.org/   If you would like to support the Homeopathy Hangout Podcast, please consider making a donation by visiting www.EugenieKruger.com and click the DONATE button at the top of the site. Every donation about $10 will receive a shout-out on a future episode.   Join my Homeopathy Hangout Podcast Facebook community here: https://www.facebook.com/groups/HelloHomies   Here is the link to my free 30-minute Homeopathy@Home online course: https://www.youtube.com/watch?v=vqBUpxO4pZQ&t=438s   Upon completion of the course - and if you live in Australia - you can join my Facebook group for free acute advice (you'll need to answer a couple of questions about the course upon request to join): www.facebook.com/groups/eughom

Chris Badgett speaks with Robert Lunte and Dana Sleeper from CourseCREEK, a full-service eLearning provider that assists people and businesses in making money out of their knowledge through excellent online courses, in this episode of LMScast. According to Robert, CourseCREEK offers each customer a customized, high-touch experience by delivering everything from marketing and LMS creation […] The post Building Full-Stack eLearning Solutions with Robert and Dana from CourseCREEK appeared first on LMScast.

Broncos pull off a legendary comeback, but the story of Broncos vs Giants doesn't end there. Then the boys get into ALL MADN League tiers and LMS.Send us a text

In this episode of the Reshaping Learning podcast from SchoolDay, host Kristi Hemingway sits down with Matt Glanville, Director of Assessment at the International Baccalaureate. Together they explore how AI is reshaping education—from reducing grading burdens and providing real-time feedback to supporting differentiated assessment and improving student writing. Matt also shares the IB's perspective on using AI ethically to augment—not replace—human judgment, and how schools can harness these tools to empower teachers and better prepare students for a rapidly changing world. This episode is sponsored by Scribo from Literatu—AI for writing that builds real connections. Scribo helps teachers see what students need, gives students personalized feedback, and shows schools real progress. Trusted worldwide and award-winning, Scribo works with any LMS. Try it free for one month at literatu.com.   Resources: Get started with a free trial from our episode sponsor, Scribo from Literatu   More great stuff: Explore SchoolDay's Career Academy and visit our blog.    

In this micro-edition of the Digital Disruption Podcast, Claire Van der Zant (Novus Strategy) is joined by Mat Hahn, Head of Estate Agent Partnerships at the LMS. They explore: Why 2025 marks a turning point for digital progress in estate agency How Horizontal Digital Integration (HDI) is reshaping the property transaction process The growing role of material information and smarter collaboration across the chain Finding the right balance between technology and human service in the home-moving journey What a future-ready estate agency model could look like over the next five years For more insights and assistance in your digital transformation, visit https://www.novus-strategy.com/ and connect with us on LinkedIn at https://www.linkedin.com/company/novus-strategy/ or email us at hello@novus-strategy.com.

Looking for daily inspiration?  Get a quote from the top leaders in the industry in your inbox every morning.   What's the one premier event that brings the global attractions industry together? IAAPA Expo 2025, happening in Orlando, Florida, from November 17th through 21st. From breakthrough technology to world-class networking and immersive education, IAAPA Expo 2025 is where you find possible.  And, just for our audience, you'll save $10 when you register at IAAPA.org/IAAPAExpo and use promo code EXPOAPROSTEN. Don't miss it — we won't!   Gina Elliott is the VP of Strategy and Administration of Slick City Action Park, and she now serves as chair of the International Association of Adventure & Trampoline Parks (IATP), where she champions scalable training, safety, and culture across parks of all sizes. Jason Haycock is the Director of Strategic Accounts of Schoox, bringing eight years in enterprise HR technology to mobile-first learning for large frontline workforces. Together, Gina and Jason spotlight how digital platforms, blended with in-person training and coaching, elevate performance, reduce risk, and boost retention. In this interview, Gina and Jason talk about digital training transformation, immersive employee experience, and investing in your team Digital training transformation “Training is such a critical piece… there is a direct correlation with training and safety… transitioning to an LMS… you can push that down to the hourly employee and you're gonna get that instant notification of when it's done.” Gina contrasts “pencil-whipped” PDFs and broken binders with a mobile-first LMS that meets today's frontline where they already learn—on their phones. Digital courses, instant transcripts, and exportable records simplify audits and incident response while allowing rapid, system-wide updates without reprints or classroom bottlenecks. “It's surprising to us that we'll show up and see that they're still using paper. We really have an emphasis on meeting these employees where they are, being able to learn quickly and on the go.” Jason explains how short, role-specific modules and micro-assessments accelerate time-to-productivity for younger teams accustomed to bite-sized learning. He notes outcomes such as faster onboarding, sales lift, and reduced injuries/premiums when digital training is paired with clear expectations and live practice. Immersive employee experience “You can build the best park, but if your employees aren't trained or even understand what an immersive experience is, you've lost that guest, and it's gonna be very hard to retain them.” Gina reframes immersion as an employee mandate: blend brief videos, interactive elements, leaderboards, and hands-on tasks so every learning style is engaged and confidence builds before live guest contact. She stresses pacing: begin with a 10–15-minute orientation, verify knowledge, then layer responsibilities over 30/60/90 days instead of “300 modules” on day one. “These frontline employees… learn differently than a corporate employee… It's ongoing training in addition to what they have for onboarding.” Jason adds that evolving parks (VR next to ax-throwing, bowling, pickleball) demand agile cross-training. Quick, on-the-spot refreshers and continuing modules keep skills current as attractions and technology change, while managers observe and coach to certify real-world proficiency. Investing in your team “Make your employees feel like they're heard and they're valued. If it comes to spending that money at the beginning, do it. It's going to ultimately lead to a better customer experience, a better employee experience, and a more successful business.” Jason frames training as a proactive investment, not an expense: organizations already “pay” through turnover, weak sales, and incidents if they undertrain. Upfront investment converts training into a competitive advantage—supporting growth, reviews, referrals, and retention. “We saw a park with a 90% completion rate actually increase sales… Another park in the low twenties had turnover of 90%.Culture always has a focus on training.” Gina shares case studies linking completion rates to front-desk sales and lower turnover. She advises reading performance holistically, such as training data plus social scores, mystery shops, and sales, to target coaching. Her closing push: don't fear technology; toss the binders, start small with digital courses, and keep coaching continuously.   Find Gina on LinkedIn, or visit indoor@adventureparks.org for IATP resources and the IATP Academy. Reach Jason on LinkedIn or visit schoox.com to learn more about Schoox. This podcast wouldn't be possible without the incredible work of our faaaaaantastic team:   Scheduling and correspondence by Kristen Karaliunas   To connect with AttractionPros: AttractionPros.com AttractionPros@gmail.com AttractionPros on Facebook AttractionPros on LinkedIn AttractionPros on Instagram AttractionPros on Twitter (X)  

 Today, a college diploma is no guarantee that graduates have the competencies that businesses need, including using emerging technologies, communicating, working in teams, and other necessary skills. So, it's fair to ask, “Do students really need a college degree”?   Brandeis University President, and nationally respected higher education leader and researcher, Arthur Levine has been at the forefront of the changing role of higher education.  Co-author of THE GREAT UPHEAVAL, HIGHER EDUCATIONS PAST PRESENT AND UNCERTAIN FUTURE, Levine argues that in the next 20 years, consumers of higher education will determine what higher education will be, and that every institution will have to change.   Today, the United States is undergoing change of even greater magnitude and speed than it did during the Industrial Revolution as it shifts from a national, analog, industrial economy to a global, digital, knowledge economy. At the same time, public confidence in higher education has declined. Threatened by a demographic cliff in most states where fewer students will be graduating from high school over the next 20 years, the increased competition for students means that a larger number of higher education institutions will be closing or merging with other institutions. It is expected that as many as 20 to 25 percent of colleges, particularly liberal arts colleges and comprehensive regional colleges, will close in the coming years.   Learn more about The Great Upheaval: The book reveals that five new realities, none of higher education's own making, will characterize the coming transformation: Institutional control of higher education will decrease, and the power of higher education consumers will increase. In a range of knowledge industries, the advent of the global, digital, knowledge economy multiplied the number of content providers and disseminators and gave consumers choice over what, where, when, and how of the content they consumed. The same will be true of higher education. The digital revolution will put more power in the hands of the learner who will have greater choice about all aspects of their own education. With near universal access to digital devices and the Internet, students will seek from higher education the same things they are getting from the music, movie and newspaper industries. Given the choice, consumers of the three industries chose round-the-clock over fixed-time access, consumer- rather than producer-determined content, personalized over uniform content, and low prices over high. In the emerging higher education environment, students are placing a premium on convenience—anytime, anyplace accessibility; personalized education that fits their circumstances and unbundling, only purchasing what they need or want to buy at affordable prices. For instance, during the pandemic, while college enrollments were declining, enrollment in institutions with these attributes, such as Coursera, an online learning platform, saw the number of students they serve jump. In the United States and abroad, Coursera enrollments jumped from 53 to 78 million. That 25 million student increase is more than the entire enrollment in U.S. higher education. New content producers and distributors will enter the higher education marketplace, driving up institutional competition and consumer choice and driving down prices. We are already seeing a proliferation of new postsecondary institutions, organizations and programs that have abandoned key elements of mainstream higher education. These emphasize digital technologies, reject time and place-based education, create low-cost degrees, adopt competency or outcome-based education, and award nontraditional credentials. Increasingly, libraries, museums, media companies and software makers have entered the marketplace, offering content, instruction and certification. Google offers 80 certificate programs and Microsoft has 77. The American Museum of Natural History has its own graduate school, which offers a Ph.D. in comparative biology, a Master of Arts degree in teaching, and short-term online courses that teachers can use for graduate study or professional development credit. The new providers are not only more accessible and convenient, offering a combination of competency- and course-based programs, they are also cheaper and more agile than traditional colleges and universities which will lead to more contraction and closings? The industrial era model of higher education focusing on time, process and teaching will be eclipsed by a knowledge economy successor rooted in outcomes and learning. In the future, higher education will focus on the outcomes we want students to achieve, what we want them to learn, not how long we want them to be taught. This is because students don't learn at the same rate and because the explosion of new content being produced by employers, museums, software companies, banks, retailers and other organizations inside and outside higher education will be so heterogeneous that what students accomplish cannot be translated into uniform time or process measures. The one common denominator they all share is that they produce outcomes, whatever students learn as consequence of the experience. The dominance of degrees and “Just-in-case” education will diminish; non-degree certifications and “Just-in-time” education will increase in status and value. American higher education has historically focused on degree granting programs intended to prepare their students for careers and life beyond college. This has been called “just-in-case education” because its focus is teaching students the skills and knowledge that institutions believe will be necessary for the future. In contrast, “just-in-time education” is present-oriented and more immediate, teaching students the skills and knowledge they need right now. “Just-in-time education” comes in all shapes and sizes, largely diverging from traditional academic time standards, uniform course lengths and common credit measures. The increasing need for upskilling and reskilling caused by automation, the knowledge explosion and Covid promises to tilt the balance toward more “just-in-time education, which is closely aligned with the labor market and provides certificates, micro-credentials, and badges, not degrees. This episode is made possible by our partner Poll Everywhere Poll Everywhere's new version makes student engagement faster, simpler, and smarter. With AI-powered poll creation and seamless LMS integration, it's built to transform lectures into truly interactive learning experiences. Try it out today with special promo code '25OFF'

Join us for an exciting deep dive into Topia with founder Daniel as we explore how this spatial platform is revolutionizing virtual education! Discover how proximity chat, customizable worlds, and innovative SDK tools are creating delightful learning experiences for K-12 students in virtual schools, micro schools, and homeschooling environments.From supporting 500+ concurrent users to integrating with major LMS platforms, Topia is proving that online education can be engaging, social, AND safe. We discuss the platform's evolution, the importance of "delight" as a metric, and why students are literally clicking repeatedly just to get into class early!Whether you're an educator exploring virtual learning tools, a remote worker seeking better collaboration spaces, or just curious about the future of online community building, this episode is packed with insights.Head over to our website at ⁠⁠⁠hitechpod.us⁠⁠⁠ for all of our episode pages, send some support at ⁠⁠Buy Me a Coffee⁠⁠, our ⁠⁠⁠Twitter⁠⁠⁠, our ⁠⁠⁠YouTube⁠⁠⁠, and to see our faces (maybe skip the last one).Need a journal that's secure and reflective? Sign-up for the ⁠Reflection App⁠ today! We promise that the free version is enough, but if you want the extra features, paying up is even better with our affiliate discount.

"Many hands make for light work"   " It runs like a well-oiled machine"The HUGE TEAM EFFORT ...Laura Cleary, Lindsey Whittaker and Melissa Koehl share about what parents and all folks planning to attend this great fall event on Lookout can expect. All three are moms of little ones at the school and they are super busy working towards a truly fun, well-organized and memorable event for everyone. They are QUICK to point out that it is a TEAM effort with everyone -around 75 this year - working in concert from their own parents helping to other parents to community grandparents to town workers and our police force. Several local businesses are also jumping in to say thanks and show support for our community - so a big THANK YOU to them!Listen in to hear what to expect and a few tips for the carnival as well as food ideas for dinner that night. LMS is truly blessed to have such great leadership and teachers and with the complement of supportive parents it really does make for a powerful school community - thanks to all involved and here's to a fun and safe event. Please come out and see, walk through, spend a little and eat, if possible, on Tuesday night Sept. 30! See you there!tMELindsey & Robert have Magnolia (3rd), Dottie(K) & Ford(3yo); Melissa & Dustin have Charlotte(3rd), Davidson (1st); Laura and Ryan have Caroline(2nd), Catherine(K) & George (3yo)Spread the word! Find us at ...theMountainEcho.orgPlease "Like" and 'subscribe' for notification of new episodes on your media player's podcast menu. Also, on regular, full length, non-bonus episodes, many thanks for closing music featuring the Dismembered Tennesseans and vocals by the amazing Laura Walker singing Tennessee Waltz. Opening fiddle music played by the late Mr. Fletcher Bright.

In this episode of Wavelengths, the Amphenol Broadband Solutions podcast, host Daniel Litwin sits down with Chuck Girt, Chief Technology Officer at FiberLight, to explore how broadband innovation is shaping the future of education.As schools embrace 1:1 devices, cloud-based curriculum, and even emerging AI-driven learning tools, their networks are under more pressure than ever. Girt brings over 35 years of experience deploying enterprise-grade and nonprofit anchor institution networks to the table, offering a roadmap for districts looking to future-proof their connectivity strategies.This conversation unpacks how fiber-first thinking can unlock new opportunities for students, especially in rural communities where connectivity gaps can make the difference between opportunity and isolation. Key Discussion Highlights: Fiber as the Anchor: Girt explains why fiber optics are the foundation for sustainable school networks—delivering the speed, reliability, and scalability needed to support everything from cloud LMS to immersive VR and AI-driven teaching. Designing for Dynamic Demand: He outlines how to build networks that handle heavy spikes in usage—like statewide testing bursts or lunchtime video surges—through redundant paths, resilient infrastructure, and local content caching. Choosing the Right Architecture: The episode breaks down the pros and cons of dark fiber vs. lit wave services, and why solutions like MPLS remain a practical, future-ready approach for many districts. Tackling Rural Roadblocks: Girt shares strategies to overcome the biggest hurdles in rural deployments—political resistance, cost justification, and tech debt—and how partnerships can turn small communities into connected hubs. Planning for Funding: With E-Rate and BEAD funds becoming clearer, he emphasizes why districts should build for long-term growth, not short-term bandwidth fixes, and how to align funding with scalable infrastructure plans. This episode offers timely insights for district CIOs, operators, and education decision-makers working to close the digital divide. From designing resilient, scalable networks to navigating funding realities, Girt lays out a blueprint for turning connectivity investments into tangible student outcomes.

In this episode, Kevin Yates - widely known as the L&D Detective® - joins David to explore why measuring impact remains one of the most persistent challenges in Learning & Development, and how L&D can finally start getting it right. Together, they unpack why reporting on learning activity isn't enough, what it really means to uncover evidence of performance impact, and how L&D must evolve to contribute meaningfully within the wider performance ecosystem. Kevin outlines the flaws in traditional training needs analysis, introduces his Workplace Performance Investigation Framework, and explains how business metrics—not LMS data—must become the cornerstone of meaningful measurement. Kevin also shares how L&D teams can use tools like the Performance Impact Blueprint and Instructional Design for Performance to plan for outcomes from the outset, and why embracing the identity of ‘impact investigators' is critical for L&D's future. If you're serious about proving learning's contribution to business performance, this episode is unmissable. KEY TAKEAWAYS The "village" approach is central to performance. L&D should measure collective, not isolated, impact. LMS data is easy to get, but it does not truly measure the impact on business performance. The 6 questions for business performance and 6 for human performance, in the framework, uncover the true needs behind a training request. Because improving performance involves many teams, a project management approach helps organize everyone's roles, tasks, and contributions toward a shared business goal. BEST MOMENTS “It takes a village to impact workplace performance." “We must define impact. Before we can investigate it.” "Designing for performance is very different than designing for training." Kevin M. Yates Bio Kevin M. Yates is globally recognised as the L&D Detective®, known for investigating the impact of training and learning on workplace performance. With over 25 years of experience across major brands like McDonald's, Meta, and Grant Thornton, Kevin brings a practical, data-driven approach to measuring learning's contribution to business results. His work empowers L&D teams to go beyond activity metrics and uncover real evidence of performance impact. Kevin is also the founder of Meals in the Meantime, a nonprofit tackling food insecurity with the same focus on measurable outcomes. You can follow and connect with Kevin via: LinkedIn: https://www.linkedin.com/in/kevinmyates/ Book: https://kevinmyates.com/detective-kit Website: https://kevinmyates.com/ VALUABLE RESOURCES The Learning And Development Podcast - https://podcasts.apple.com/gb/podcast/the-learning-development-podcast/id1466927523 L&D Master Class Series: https://360learning.com/blog/l-and-d-masterclass-home ABOUT THE HOST David James David has been a People Development professional for more than 20 years, most notably as Director of Talent, Learning & OD for The Walt Disney Company across Europe, the Middle East & Africa. As well as being the Chief Learning Officer at 360Learning, David is a prominent writer and speaker on topics around modern and digital L&D. CONTACT METHOD Twitter:  https://twitter.com/davidinlearning LinkedIn: https://www.linkedin.com/in/davidjameslinkedin L&D Collective: https://360learning.com/the-l-and-d-collective Blog: https://360learning.com/blog L&D Master Class Series: https://360learning.com/blog/l-and-d-masterclass-home This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

This episode is sponsored by Doowii. Doowii brings all of your district's data together. When data is scattered across systems and buried in outdated reports, it's hard to turn that data into action. Doowii connects your SIS, LMS, assessments, staffing, financial data, and more into one secure, conversational intelligence platform designed for all educators. No extra strain on your district's resources, just faster, smarter decisions. Hungry for better insights? Visit doowii.io to learn more and see it in action. If your school's data could talk, would it ask for help? Or maybe just a better dashboard? In this episode, I chat with Ben Dodson, founder and CEO of Doowii, a cutting-edge AI-powered data platform built specifically for education. Ben shares how his tech background (hello, Google and Snapchat!) inspired him to leap into the world of EdTech to solve one of education's messiest problems: siloed, underutilized data. We cover:

IN THIS EPISODE...Brendan Noud, CEO and co-founder of LearnUpon, discusses the evolution of his learning management system (LMS) company. LearnUpon, which was founded by two individuals in 2012, and now employs over 300 people worldwide. Brendan highlights the importance of AI in enhancing administrative tasks and learner engagement. He also emphasizes the importance of businesses understanding their training goals and selecting LMSs that align with their specific needs.LearnUpon prioritizes ease of use and learner experience, catering to diverse audiences, including employees, customers, and partners. LearnUpon's success is attributed to its customer-centric approach, 24/7 support, and strategic partnerships.------------Full show notes, links to resources mentioned, and other compelling episodes can be found at http://BlendedWorkforcesAtWork. (Click the magnifying icon at the top right and type “Brendan”)If you love this show, please leave us a review. Go to http://RateThisPodcast.com/blended Love the show? Subscribe, rate, review, and share! Be sure to:Check out our website at http://BlendedWorkforcesAtWork Follow Karan on LinkedIn, X, and InstagramFollow SDL on LinkedIn, X, and InstagramABOUT SHOCKINGLY DIFFERENT LEADERSHIP (SDL):This podcast is brought to you by Shockingly Different Leadership, the go-to firm companies trust when needing to supplement their in-house HR teams with contract or interim HR, Learning, and Culture experts to assist with business-critical People initiatives during peak periods of work. Visit https://shockinglydifferent.com to learn more.-------------WHAT TO LISTEN FOR:1. Brendan's path from consulting to founding LearnUpon.2. Early challenges and the global growth of LearnUpon.3. What makes LearnUpon's learning management system (LMS) stand out?4. How AI is used to enhance the platform.5. Focus on customer partnership and 24/7 support.6. Brendan's tips for choosing an LMS.7. How does LearnUpon handle customer feature requests?8. What trends or risks does Brendan see in the LMS industry?------------FEATURED TIMESTAMPS:[00:36] Brendan shares his background.[01:14] Founding LearnUpon and its global growth.[06:45] Description of an LMS and LearnUpon's unique features.[09:02] LearnUpon's customer partnership approach.[11:19] Integrating AI into the platform.[14:04] Challenges of building a US customer base.[20:06] Signature Segment: Brendan's entry into the LATTOYG Playbook: Advice for companies choosing an LMS.[22:45] Industry trends and risks.[25:16] Balancing customer...

In this episode, Rick Mayo is joined by Chamberlynn to discuss the launch of Alloy's game-changing Learning Management System (LMS). Built entirely in-house, this LMS sets a new standard in fitness franchising by delivering a blend of tactile, visual, and interactive content to ensure new hires understand not just what Alloy does, but why it matters.Chamberlynn, who led the initiative, unpacks the year-long process of curriculum development, testing, and design. Besides education, the LMS is a culture primer for new coaches and managers. The system is a must-complete before any in-person HQ training and is designed to make onboarding scalable and consistent across locations.The episode also touches on how the LMS strengthens Alloy's core mission of delivering personalized care at scale. From operations to programming to client experience, this system covers it all.

Nonprofits, your “10 blue links” era is over. In this episode, Avinash Kaushik (Human-Made Machine; Occam's Razor) breaks down Answer Engine Optimization—why LLMs now decide who gets seen, why third-party chatter outweighs your own site, and what to do about it. We get tactical: build AI-resistant content (genuine novelty + depth), go multimodal (text, video, audio), and stamp everything with real attribution so bots can't regurgitate you into sludge. We also cover measurement that isn't delusional—group your AEO referrals, expect fewer visits but higher intent, and stop worshiping last-click and vanity metrics. Avinash updates the 10/90 rule for the AI age (invest in people, plus “synthetic interns”), and torpedoes linear funnels in favor of See-Think-Do-Care anchored in intent. If you want a blunt, practical playbook for staying visible—and actually converting—when answers beat searches, this is it. About Avinash Avinash Kaushik is a leading voice in marketing analytics—the author of Web Analytics: An Hour a Day and Web Analytics 2.0, publisher of the Marketing Analytics Intersect newsletter, and longtime writer of the Occam's Razor blog. He leads strategy at Human Made Machine, advises Tapestry on brand strategy/marketing transformation, and previously served as Google's Digital Marketing Evangelist. Uniquely, he donates 100% of his book royalties and paid newsletter revenue to charity (civil rights, early childhood education, UN OCHA; previously Smile Train and Doctors Without Borders). He also co-founded Market Motive. Resource Links Avinash Kaushik — Occam's Razor (site/home) Occam's Razor by Avinash Kaushik Marketing Analytics Intersect (newsletter sign-up) Occam's Razor by Avinash Kaushik AEO series starter: “AI Age Marketing: Bye SEO, Hello AEO!” Occam's Razor by Avinash Kaushik See-Think-Do-Care (framework explainer) Occam's Razor by Avinash Kaushik Books: Web Analytics: An Hour a Day | Web Analytics 2.0 (author pages) Occam's Razor by Avinash Kaushik+1 Human Made Machine (creative pre-testing) — Home | About | Products humanmademachine.com+2humanmademachine.com+2 Tapestry (Coach, Kate Spade) (company site) Tapestry Tools mentioned (AEO measurement): Trakkr (AI visibility / prompts / sentiment) Trakkr Evertune (AI Brand Index & monitoring) evertune.ai GA4 how-tos (for your AEO channel + attribution): Custom Channel Groups (create an “AEO” channel) Google Help Attribution Paths report (multi-touch view) Google Help Nonprofit vetting (Avinash's donation diligence): Charity Navigator (ratings) Charity Navigator Google for Nonprofits — Gemini & NotebookLM (AI access) Announcement / overview | Workspace AI for nonprofits blog.googleGoogle Help Example NGO Avinash supports: EMERGENCY (Italy) EMERGENCY Transcript Avinash Kaushik: [00:00:00] So traffic's gonna go down. So if you're a business, you're a nonprofit, how. Do you deal with the fact that you're gonna lose a lot of traffic that you get from a search engine? Today, when all of humanity moves to the answer Engine W world, only about two or 3% of the people are doing it. It's growing very rapidly. Um, and so the art of answer engine optimization is making sure that we are building for these LMS and not getting stuck with only solving for Google with the old SEO techniques. Some of them still work, but you need to learn a lot of new stuff because on average, organic traffic will drop between 16 to 64% negative and paid search traffic will drop between five to 30% negative. And that is a huge challenge. And the reason you should start with AEO now ​ George Weiner: [00:01:00] This week's guest, Avinash Kaushik is an absolute hero of mine because of his amazing, uh, work in the field of web analytics. And also, more importantly, I'd say education. Avinash Kaushik, , digital marketing evangelist at Google for Google Analytics. He spent 16 years there. He basically is. In the room where it happened, when the underlying ability to understand what's going on on our websites was was created. More importantly, I think for me, you know, he joined us on episode 45 back in 2016, and he still is, I believe, on the cutting edge of what's about to happen with AEO and the death of SEO. I wanna unpack that 'cause we kind of fly through terms [00:02:00] before we get into this podcast interview AEO. Answer engine optimization. It's this world of saying, alright, how do we create content that can't just be, , regurgitated by bots, , wholesale taken. And it's a big shift from SEO search engine optimization. This classic work of creating content for Google to give us 10 blue links for people to click on that behavior is changing. And when. We go through a period of change. I always wanna look at primary sources. The people that, , are likely to know the most and do the most. And he operates in the for-profit world. But make no mistake, he cares deeply about nonprofits. His expertise, , has frankly been tested, proven and reproven. So I pay attention when he says things like, SEO is going away, and AEO is here to stay. So I give you Avan Kashic. I'm beyond excited that he has come back. He was on our 45th episode and now we are well over our 450th episode. So, , who knows what'll happen next time we talk to him. [00:03:00] This week on the podcast, we have Avinash Kaushik. He is currently the chief strategy officer at Human Made Machine, but actually returning guest after many, many years, and I know him because he basically introduced me to Google Analytics, wrote the literal book on it, and also helped, by the way. No big deal. Literally birth Google Analytics for everyone. During his time at Google, I could spend the entire podcast talking about, uh, the amazing amounts that you have contributed to, uh, marketing and analytics. But I'd rather just real quick, uh, how are you doing and how would you describe your, uh, your role right now? Avinash Kaushik: Oh, thank you. So it's very excited to be back. Um, look forward to the discussion today. I do, I do several things concurrently, of course. I, I, I am an author and I write this weekly newsletter on marketing and analytics. Um, I am the Chief Strategy Officer at Human Made Machine, a company [00:04:00] that obsesses about helping brands win before they spend by doing creative pretesting. And then I also do, uh, uh, consulting at Tapestry, which owns Coach and Kate Spades. And my work focuses on brand strategy and marketing transformation globally. George Weiner: , Amazing. And of course, Occam's Razor. The, the, yes, the blog, which is incredible. I happen to be a, uh, a subscriber. You know, I often think of you in the nonprofit landscape, even though you operate, um, across many different brands, because personally, you also actually donate all of your proceeds from your books, from your blog, from your subscription. You are donating all of that, um, because that's just who you are and what you do. So I also look at you as like team nonprofit, though. Avinash Kaushik: You're very kind. No, no, I, I, yeah. All the proceeds from both of my books and now my newsletter, premium newsletter. It's about $200,000 a year, uh, donated to nonprofits, and a hundred [00:05:00] percent of the revenue is donated nonprofit, uh, nonprofits. And, and for me, it, it's been ai. Then I have to figure out. Which ones, and so I research nonprofits and I look up their cha charity navigators, and I follow up with the people and I check in on the works while, while don't work at a nonprofit, but as a customer of nonprofits, if you will. I, I keep sort of very close tabs on the amazing work that these charities do around the world. So feel very close to the people that you work with very closely. George Weiner: So recently I got an all caps subject line from you. Well, not from you talking about this new acronym that was coming to destroy the world, I think is what you, no, AEO. Can you help us understand what answer engine optimization is? Avinash Kaushik: Yes, of course. Of course. We all are very excited about ai. Obviously you, you, you would've to live in. Some backwaters not to be excited about it. And we know [00:06:00] that, um, at the very edge, lots of people are using large language models, chat, GPT, Claude, Gemini, et cetera, et cetera, in the world. And, and increasingly over the last year, what you have begun to notice is that instead of using a traditional search engine like Google or using the old Google interface with the 10 blue links, et cetera. People are beginning to use these lms. They just go to chat, GPT to get the answer that they want. And the one big difference in this, this behavior is I actually have on September 8th, I have a keynote here in New York and I have to be in Shanghai the next day. That is physically impossible because it, it just, the time it takes to travel. But that's my thing. So today, if I wanted to figure out what is the fastest way. On September 8th, I can leave New York and get to Shanghai. I would go to Google flights. I would put in the destinations. It will come back with a crap load of data. Then I poke and prod and sort and filter, and I have to figure out which flight is right for that. For this need I have. [00:07:00] So that is the old search engine world. I'm doing all the work, hunting and pecking, drilling down, visiting websites, et cetera, et cetera. Instead, actually what I did is I went to charge GBT 'cause I, I have a plus I, I'm a paying member of charge GBT and I said to charge GBTI have to do a keynote between four and five o'clock on September 8th in New York and I have to be in Shanghai as fast as I possibly can be After my keynote, can you find me the best flight? And I just typed in those two sentences. He came back and said, this Korean airline website flight is the best one for you. You will not get to your destination on time until, unless you take a private jet flight for $300,000. There is your best option. They're gonna get to Shanghai on, uh, September 10th at 10 o'clock in the morning if you follow these steps. And so what happened there? I didn't have to hunt and pack and dig and go to 15 websites to find the answer I wanted. The engine found the [00:08:00] answer I wanted at the end and did all the work for me that you are seeing from searching, clicking, clicking, clicking, clicking, clicking to just having somebody get you. The final answer is what I call the, the, the underlying change in consumer behavior that makes answer engine so exciting. Obviously, it creates a challenge for us because what happened between those two things, George is. I didn't have to visit many websites. So traffic is going down, obviously, and these interfaces at the moment don't have paid search links for now. They will come, they will come, but they don't at the moment. So traffic's gonna go down. So if you're a business, you're a nonprofit, how. Do you deal with the fact that you're gonna lose a lot of traffic that you get from a search engine? Today, when all of humanity moves to the answer Engine W world, only about two or 3% of the people are doing it. It's growing very rapidly. Um, and so the art of answer engine optimization [00:09:00] is making sure that we are building for these LMS and not getting stuck with only solving for Google with the old SEO techniques. Some of them still work, but you need to learn a lot of new stuff because on average, organic traffic will drop between 16 to 64% negative and paid search traffic will drop between five to 30% negative. And that is a huge challenge. And the reason you should start with AEO now George Weiner: that you know. Is a window large enough to drive a metaphorical data bus through? And I think talk to your data doctor results may vary. You are absolutely right. We have been seeing this with our nonprofit clients, with our own traffic that yes, basically staying even is the new growth. Yeah. But I want to sort of talk about the secondary implications of an AI that has ripped and gripped [00:10:00] my website's content. Then added whatever, whatever other flavors of my brand and information out there, and is then advising somebody or talking about my brand. Can you maybe unwrap that a little bit more? What are the secondary impacts of frankly, uh, an AI answering what is the best international aid organization I should donate to? Yes. As you just said, you do Avinash Kaushik: exactly. No, no, no. This such a, such a wonderful question. It gets to the crux. What used to influence Google, by the way, Google also has an answer engine called Gemini. So I just, when I say Google, I'm referring to the current Google that most people use with four paid links and 10 SEO links. So when I say Google, I'm referring to that one. But Google also has an answer engine. I, I don't want anybody saying Google does is not getting into the answer engine business. It is. So Google is very much influenced by content George that you create. I call it one P content, [00:11:00] first party content. Your website, your mobile app, your YouTube channel, your Facebook page, your, your, your, your, and it sprinkles on some amount of third party content. Some websites might have reviews about you like Yelp, some websites might have PR releases about you light some third party content. Between search engine and engines. Answer Engines seem to overvalue third party content. My for one p content, my website, my mobile app, my YouTube channel. My, my, my, everything actually is going down in influence while on Google it's pretty high. So as here you do SEO, you're, you're good, good ranking traffic. But these LLMs are using many, many, many, literally tens of thousands more sources. To understand who you are, who you are as a nonprofit, and it's [00:12:00] using everybody's videos, everybody's Reddit posts, everybody's Facebook things, and tens of thousands of more people who write blogs and all kinds of stuff in order to understand who you are as a nonprofit, what services you offer, how good you are, where you're falling short, all those negative reviews or positive reviews, it's all creepy influence. Has gone through the roof, P has come down, which is why it has become very, very important for us to build a new content strategy to figure out how we can influence these LMS about who we are. Because the scary thing is at this early stage in answer engines, someone else is telling the LLMs who you are instead of you. A more, and that's, it feels a little scary. It feels as scary as a as as a brand. It feels very scary as I'm a chief strategy officer, human made machine. It feels scary for HMM. It feels scary for coach. [00:13:00] It's scary for everybody, uh, which is why you really urgently need to get a handle on your content strategy. George Weiner: Yeah, I mean, what you just described, if it doesn't give you like anxiety, just stop right now. Just replay what we just did. And that is the second order effects. And you know, one of my concerns, you mentioned it early on, is that sort of traditional SEO, we've been playing the 10 Blue Link game for so long, and I'm worried that. Because of the changes right now, roughly what 20% of a, uh, search is AI overview, that number's not gonna go down. You're mentioning third party stuff. All of Instagram back to 2020, just quietly got tossed into the soup of your AI brand footprint, as we call it. Talk to me about. There's a nonprofit listening to this right now, and then probably if they're smart, other organizations, what is coming in the next year? They're sitting down to write the same style of, you know, [00:14:00] ai, SEO, optimized content, right? They have their content calendar. If you could have like that, I'm sitting, you're sitting in the room with them. What are you telling that classic content strategy team right now that's about to embark on 2026? Avinash Kaushik: Yes. So actually I, I published this newsletter just last night, and this is like the, the fourth in my AEO series, uh, newsletter, talks about how to create your content portfolio strategy. Because in the past we were like, we've got a product pages, you know, the equivalent of our, our product pages. We've got some, some, uh, charitable stories on our website and uh, so on and so forth. And that's good. That's basic. You need to do the basics. The interesting thing is you need to do so much more both on first party. So for example, one of the first things to appreciate is LMS or answer engines are far more influenced by multimodal content. So what does that mean? Text plus [00:15:00] video plus audio. Video and audio were also helpful in Google. And remember when I say Google, I'm referring to the old linky linking Google, not Gemini. But now video has ton more influence. So if you're creating a content strategy for next year, you should say many. Actually, lemme do one at a time. Text. You have to figure out more types of things. Authoritative Q and as. Very educational deep content around your charity's efforts. Lots of text. Third. Any seasonality, trends and patterns that happen in your charity that make a difference? I support a school in, in Nepal and, and during the winter they have very different kind of needs than they do during the summer. And so I bumped into this because I was searching about something seasonality related. This particular school for Tibetan children popped up in Nepal, and it's that content they wrote around winter and winter struggles and coats and all this stuff. I'm like. [00:16:00] It popped up in the answer engine and I'm like, okay. I research a bit more. They have good stories about it, and I'm supporting them q and a. Very, very important. Testimonials. Very, very important interviews. Very, very important. Super, super duper important with both the givers and the recipients, supporters of your nonprofit, but also the recipient recipients of very few nonprofits actually interview the people who support them. George Weiner: Like, why not like donors or be like, Hey, why did you support us? What was the, were the two things that moved you from Aware to care? Avinash Kaushik: Like for, for the i I Support Emergency, which is a Italian nonprofit like Ms. Frontiers and I would go on their website and speak a fiercely about why I absolutely love the work they do. Content, yeah. So first is text, then video. You gotta figure out how to use video a lot more. And most nonprofits are not agile in being able to use video. And the third [00:17:00] thing that I think will be a little bit of a struggle is to figure out how to use audio. 'cause audio also plays a very influential role. So for as you are planning your uh, uh, content calendar for the next year. Have the word multimodal. I'm sorry, it's profoundly unsexy, but put multimodal at the top, underneath it, say text, then say video, then audio, and start to fill those holes in. And if those people need ideas and example of how to use audio, they should just call you George. You are the king of podcasting and you can absolutely give them better advice than I could around how nonprofits could use audio. But the one big thing you have to think about is multimodality for next year George Weiner: that you know, is incredibly powerful. Underlying that, there's this nuance that I really want to make sure that we understand, which is the fact that the type of content is uniquely different. It's not like there's a hunger organization listening right now. It's not 10 facts about hunger during the winter. [00:18:00] Uh, days of being able to be an information resource that would then bring people in and then bring them down your, you know, your path. It's game over. If not now, soon. Absolutely. So how you are creating things that AI can't create and that's why you, according to whom, is what I like to think about. Like, you're gonna say something, you're gonna write something according to whom? Is it the CEO? Is it the stakeholder? Is it the donor? And if you can put a attribution there, suddenly the AI can't just lift and shift it. It has to take that as a block and be like, no, it was attributed here. This is the organization. Is that about right? Or like first, first party data, right? Avinash Kaushik: I'll, I'll add one more, one more. Uh, I'll give a proper definition. So, the fir i I made 11 recommendations last night in the newsletter. The very first one is focus on creating AI resistant content. So what, what does that mean? AI resistant means, uh, any one of us from nonprofits could [00:19:00] open chat, GPT type in a few queries and chat. GD PT can write our next nonprofit newsletter. It could write the next page for our donation. It could create the damn page for our donation, right? Remember, AI can create way more content than you can, but if you can use AI to create content, 67 million other nonprofits are doing the same thing. So what you have to do is figure out how to build AI resistant content, and my definition is very simple. George, what is AI resistance? It's content of genuine novelty. So to tie back to your recommendation, your CEO of a nonprofit that you just recommended, the attribution to George. Your CEO has a unique voice, a unique experience. The AI hasn't learned what makes your CEO your frontline staff solving problems. You are a person who went and gave a speech at the United Nations on behalf of your nonprofit. Whatever you are [00:20:00] doing is very special, and what you have to figure out is how to get out of the AI slop. You have to get out of all the things that AI can automatically type. Figure out if your content meets this very simple, standard, genuine novelty and depth 'cause it's the one thing AI isn't good at. That's how you rank higher. And not only will will it, will it rank you, but to make another point you made, George, it's gonna just lift, blanc it out there and attribute credit to you. Boom. But if you're not genuine, novelty and depth. Thousand other nonprofits are using AI to generate text and video. Could George Weiner: you just, could you just quit whatever you're doing and start a school instead? I seriously can't say it enough that your point about AI slop is terrifying me because I see it. We've built an AI tool and the subtle lesson here is that think about how quickly this AI was able to output that newsletter. Generic old school blog post and if this tool can do it, which [00:21:00] by the way is built on your local data set, we have the rag, which doesn't pause for a second and realize if this AI can make it, some other AI is going to be able to reproduce it. So how are you bringing the human back into this? And it's a style of writing and a style of strategic thinking that please just start a school and like help every single college kid leaving that just GPT their way through a degree. Didn't freaking get, Avinash Kaushik: so it's very, very important to make sure. Content is of genuine novelty and depth because it cannot be replicated by the ai. And by the way, this, by the way, George, it sounds really high, but honestly to, to use your point, if you're a CEO of a nonprofit, you are in it for something that speaks to you. You're in it. Because ai, I mean nonprofit is not your path to becoming the next Bill Gates, you're doing it because you just have this hair. Whoa, spoiler alert. No, I'm sorry. [00:22:00] Maybe, maybe that is. I, I didn't, I didn't mean any negative emotion there, but No, I love it. It's all, it's like a, it's like a sense of passion you are bringing. There's something that speaks to you. Just put that on paper, put that on video, put that on audio, because that is what makes you unique. And the collection of those stories of genuine depth and novelty will make your nonprofit unique and stand out when people are looking for answers. George Weiner: So I have to point to the next elephant in the room here, which is measurement. Yes. Yes. Right now, somebody is talking about human made machine. Someone's talking about whole whale. Someone's talking about your nonprofit having a discussion in an answer engine somewhere. Yes. And I have no idea. How do I go about understanding measurement in this new game? Avinash Kaushik: I have. I have two recommendations. For nonprofits, I would recommend a tool called Tracker ai, TRA, KKR [00:23:00] ai, and it has a free version, that's why I'm recommending it. Some of the many of these tools are paid tools, but with Tracker, do ai. It allows you to identify your website, URL, et cetera, et cetera, and it'll give you some really wonderful and fantastic, helpful report It. Tracker helps you understand prompt tracking, which is what are other people writing about you when they're seeking? You? Think of this, George, as your old webmaster tools. What keywords are people using to search? Except you can get the prompts that people are using to get a more robust understanding. It also monitors your brand's visibility. How often are you showing up and how often is your competitor showing up, et cetera, et cetera. And then he does that across multiple search engines. So you can say, oh, I'm actually pretty strong in OpenAI for some reason, and I'm not that strong in Gemini. Or, you know what, I have like the highest rating in cloud, but I don't have it in OpenAI. And this begins to help you understand where your current content strategy is working and where it is not [00:24:00] working. So that's your brand visibility. And the third thing that you get from Tracker is active sentiment tracking. This is the scary part because remember, you and I were both worried about what other people saying about us. So this, this are very helpful that we can go out and see what it is. What is the sentiment around our nonprofit that is coming across in, um, in these lms? So Tracker ai, it have a free and a paid version. So I would, I would recommend using it for these three purposes. If, if you have funding to invest in a tool. Then there's a tool called Ever Tool, E-V-E-R-T-U-N-E Ever. Tune is a paid tool. It's extremely sophisticated and robust, and they do brand monitoring, site audit, content strategy, consumer preference report, ai, brand index, just the. Step and breadth of metrics that they provide is quite extensive, but, but it is a paid tool. It does cost money. It's not actually crazy expensive, but uh, I know I have worked with them before, so full disclosure [00:25:00] and having evaluated lots of different tools, I have sort of settled on those two. If it's a enterprise type client I'm working with, then I'll use Evert Tune if I am working with a nonprofit or some of my personal stuff. I'll use Tracker AI because it's good enough for a person that is, uh, smaller in size and revenue, et cetera. So those two tools, so we have new metrics coming, uh, from these tools. They help us understand the kind of things we use webmaster tools for in the past. Then your other thing you will want to track very, very closely is using Google Analytics or some other tool on your website. You are able to currently track your, uh, organic traffic and if you're taking advantage of paid ads, uh, through a grant program on Google, which, uh, provides free paid search credits to nonprofits. Then you're tracking your page search traffic to continue to track that track trends, patterns over time. But now you will begin to see in your referrals report, in your referrals report, you're gonna begin to seeing open [00:26:00] ai. You're gonna begin to see these new answer engines. And while you don't know the keywords that are sending this traffic and so on and so forth, it is important to keep track of the traffic because of two important reasons. One, one, you want to know how to highly prioritize. AEO. That's one reason. But the other reason I found George is syn is so freaking hard to rank in an answer engine. When people do come to my websites from Answer engine, the businesses I work with that is very high intent person, they tend to be very, very valuable because they gave the answer engine a very complex question to answer the answers. Engine said you. The right answer for it. So when I show up, I'm ready to buy, I'm ready to donate. I'm ready to do the action that I was looking for. So the percent of people who are coming from answer engines to your nonprofit carry significantly higher intention, and coming from Google, who also carry [00:27:00] intent. But this man, you stood out in an answer engine, you're a gift from God. Person coming thinks you're very important and is likely to engage in some sort of business with you. So I, even if it's like a hundred people, I care a lot about those a hundred people, even if it's not 10,000 at the moment. Does that make sense George? George Weiner: It does, and I think, I'm glad you pointed to, you know, the, the good old Google Analytics. I'm like, it has to be a way, and I, I think. I gave maximum effort to this problem inside of Google Analytics, and I'm still frustrated that search console is not showing me, and it's just blending it all together into one big soup. But. I want you to poke a hole in this thinking or say yes or no. You can create an AI channel, an AEO channel cluster together, and we have a guide on that cluster together. All of those types of referral traffic, as you mentioned, right from there. I actually know thanks to CloudFlare, the ratios of the amount of scrapes versus the actual clicks sent [00:28:00] for roughly 20, 30% of. Traffic globally. So is it fair to say I could assume like a 2% clickthrough or a 1% clickthrough, or even worse in some cases based on that referral and then reverse engineer, basically divide those clicks by the clickthrough rate and essentially get a rough share of voice metric on that platform? Yeah. Avinash Kaushik: So, so for, um, kind of, kind of at the moment, the problem is that unlike Google giving us some decent amount of data through webmaster tools. None of these LLMs are giving us any data. As a business owner, none of them are giving us any data. So we're relying on third parties like Tracker. We're relying on third parties like Evert Tune. You understand? How often are we showing up so we could get a damn click through, right? Right. We don't quite have that for now. So the AI Brand Index in Evert Tune comes the closest. Giving you some information we could use in the, so your thinking is absolutely right. Your recommendation is ly, right? Even if you can just get the number of clicks, even if you're tracking them very [00:29:00] carefully, it's very important. Please do exactly what you said. Make the channel, it's really important. But don't, don't read too much into the click-through rate bits, because we're missing the. We're missing a very important piece of information. Now remember when Google first came out, we didn't have tons of data. Um, and that's okay. These LLMs Pro probably will realize over time if they get into the advertising business that it's nice to give data out to other people, and so we might get more data. Until then, we are relying on these third parties that are hacking these tools to find us some data. So we can use it to understand, uh, some of the things we readily understand about keywords and things today related to Google. So we, we sadly don't have as much visibility today as we would like to have. George Weiner: Yeah. We really don't. Alright. I have, have a segment that I just invented. Just for you called Avanade's War Corner. And in Avanade's War Corner, I noticed that you go to war on various concepts, which I love because it brings energy and attention to [00:30:00] frankly data and finding answers in there. So if you'll humor me in our war corner, I wanna to go through some, some classic, classic avan. Um, all right, so can you talk to me a little bit about vanity metrics, because I think they are in play. Every day. Avinash Kaushik: Absolutely. No, no, no. Across the board, I think in whatever we do. So, so actually I'll, I'll, I'll do three. You know, so there's vanity metrics, activity metrics and outcome metrics. So basically everything goes into these three buckets essentially. So vanity metrics are, are the ones that are very easy to find, but them moving up and down has nothing to do with the number of donations you're gonna get as a nonprofit. They're just there to ease our ego. So, for example. Let's say we are a nonprofit and we run some display ads, so measure the number of impressions that were delivered for our display ad. That's a vanity metric. It doesn't tell you anything. You could have billions of impressions. You could have 10 impressions, doesn't matter, but it is easily [00:31:00] available. The count is easily available, so we report it. Now, what matters? What matters are, did anybody engage with the ad? What were the percent of people who hovered on the ad? What were the number of people who clicked on the ad activity metrics? Activity metrics are a little more useful than vanity metrics, but what does it matter for you as a non nonprofit? The number of donations you received in the last 24 hours. That's an outcome metric. Vanity activity outcome. Focus on activity to diagnose how well our campaigns or efforts are doing in marketing. Focus on outcomes to understand if we're gonna stay in business or not. Sorry, dramatic. The vanity metrics. Chasing is just like good for ego. Number of likes is a very famous one. The number of followers on a social paia, a very famous one. Number of emails sent is another favorite one. There's like a whole host of vanity metrics that are very easy to get. I cannot emphasize this enough, but when you unpack and or do meta-analysis of [00:32:00] relationship between vanity metrics and outcomes, there's a relationship between them. So we always advise people that. Start by looking at activity metrics to help you understand the user's behavior, and then move to understanding outcome metrics because they are the reason you'll thrive. You will get more donations or you will figure out what are the things that drive more donations. Otherwise, what you end up doing is saying. If I post provocative stuff on Facebook, I get more likes. Is that what you really wanna be doing? But if your nonprofit says, get me more likes, pretty soon, there's like a naked person on Facebook that gets a lot of likes, but it's corrupting. Yeah. So I would go with cute George Weiner: cat, I would say, you know, you, you get the generic cute cat. But yeah, same idea. The Internet's built on cats Avinash Kaushik: and yes, so, so that's why I, I actively recommend people stay away from vanity metrics. George Weiner: Yeah. Next up in War Corner, the last click [00:33:00] fallacy, right? The overweighting of this last moment of purchase, or as you'd maybe say in the do column of the See, think, do care. Avinash Kaushik: Yes. George Weiner: Yes. Avinash Kaushik: So when the, when the, when we all started to get Google Analytics, we got Adobe Analytics web trends, remember them, we all wanted to know like what drove the conversion. Mm-hmm. I got this donation for a hundred dollars. I got a donation for a hundred thousand dollars. What drove the conversion. And so what lo logically people would just say is, oh, where did this person come from? And I say, oh, the person came from Google. Google drove this conversion. Yeah, his last click analysis just before the conversion. Where did the person come from? Let's give them credit. But the reality is it turns out that if you look at consumer behavior, you look at days to donation, visits to donation. Those are two metrics available in Google. It turns out that people visit multiple times before [00:34:00] they make a donation. They may have come through email, their interest might have been triggered through your email. Then they suddenly remembered, oh yeah, yeah, I wanted to go to the nonprofit and donate something. This is Google, you. And then Google helps them find you and they come through. Now, who do you give credit Email or the Google, right? And what if you came 5, 7, 8, 10 times? So the last click fallacy is that it doesn't allow you to see the full consumer journey. It gives credit to whoever was the last person who sent you this, who introduced this person to your website. And so very soon we move to looking at what we call MTI, Multi-Touch Attribution, which is a free solution built into Google. So you just go to your multichannel funnel reports and it will help you understand that. One, uh, 150 people came from email. Then they came from Google. Then there was a gap of nine days, and they came back from Facebook and then they [00:35:00] converted. And what is happening is you're beginning to understand the consumer journey. If you understand the consumer journey better, we can come with better marketing. Otherwise, you would've said, oh, close shop. We don't need as many marketing people. We'll just buy ads on Google. We'll just do SEO. We're done. Oh, now you realize there's a more complex behavior happening in the consumer. They need to solve for email. You solve for Google, you need to solve Facebook. In my hypothetical example, so I, I'm very actively recommend people look at the built-in free MTA reports inside the Google nalytics. Understand the path flow that is happening to drive donations and then undertake activities that are showing up more often in the path, and do fewer of those things that are showing up less in the path. George Weiner: Bring these up because they have been waiting on my mind in the land of AEO. And by the way, we're not done with war. The war corner segment. There's more war there's, but there's more, more than time. But with both of these metrics where AEO, if I'm putting these glasses back on, comes [00:36:00] into play, is. Look, we're saying goodbye to frankly, what was probably somewhat of a vanity metric with regard to organic traffic coming in on that 10 facts about cube cats. You know, like, was that really how we were like hanging our hat at night, being like. Job done. I think there's very much that in play. And then I'm a little concerned that we just told everyone to go create an AEO channel on their Google Analytics and they're gonna come in here. Avinash told me that those people are buyers. They're immediately gonna come and buy, and why aren't they converting? What is going on here? Can you actually maybe couch that last click with the AI channel inbound? Like should I expect that to be like 10 x the amount of conversions? Avinash Kaushik: All we can say is it's, it's going to be people with high intention. And so with the businesses that I'm working with, what we are finding is that the conversion rates are higher. Mm. This game is too early to establish any kind of sense of if anybody has standards for AEO, they're smoking crack. Like the [00:37:00] game is simply too early. So what we I'm noticing is that in some cases, if the average conversion rate is two point half percent, the AEO traffic is converting at three, three point half. In two or three cases, it's converting at six, seven and a half. But there is not enough stability in the data. All of this is new. There's not enough stability in the data to say, Hey, definitely you can expect it to be double or 10% more or 50% more. We, we have no idea this early stage of the game, but, but George, if we were doing this again in a year, year and a half, I think we'll have a lot more data and we'll be able to come up with some kind of standards for, for now, what's important to understand is, first thing is you're not gonna rank in an answer engine. You just won't. If you do rank in an answer engine, you fought really hard for it. The person decided, oh my God, I really like this. Just just think of the user behavior and say, this person is really high intent because somehow [00:38:00] you showed up and somehow they found you and came to you. Chances are they're caring. Very high intent. George Weiner: Yeah. They just left a conversation with a super intelligent like entity to come to your freaking 2001 website, HTML CSS rendered silliness. Avinash Kaushik: Whatever it is, it could be the iffiest thing in the world, but they, they found me and they came to you and they decided that in the answer engine, they like you as the answer the most. And, and it took that to get there. And so all, all, all is I'm finding in the data is that they carry higher intent and that that higher intent converts into higher conversion rates, higher donations, as to is it gonna be five 10 x higher? It's unclear at the moment, but remember, the other reason you should care about it is. Every single day. As more people move away from Google search engines to answer engines, you're losing a ton of traffic. If somebody new showing up, treat them with, respect them with love. Treat them with [00:39:00] care because they're very precious. Just lost a hundred. Check the landing George Weiner: pages. 'cause you may be surprised where your front door is when complexity is bringing them to you, and it's not where you spent all of your design effort on the homepage. Spoiler. That's exactly Avinash Kaushik: right. No. Exactly. In fact, uh, the doping deeper into your websites is becoming even more prevalent with answer engines. Mm-hmm. Um, uh, than it used to be with search engines. The search always tried to get you the, the top things. There's still a lot of diversity. Your homepage likely is still only 30% of your traffic. Everybody else is landing on other homepage or as you call them, landing pages. So it's really, really important to look beyond your homepage. I mean, it was true yesterday. It's even truer today. George Weiner: Yeah, my hunch and what I'm starting to see in our data is that it is also much higher on the assisted conversion like it is. Yes. Yes, it is. Like if you have come to us from there, we are going to be seeing you again. That's right. That's right. More likely than others. It over indexes consistently for us there. Avinash Kaushik: [00:40:00] Yes. Again, it ties back to the person has higher intent, so if they didn't convert in that lab first session, their higher intent is gonna bring them back to you. So you are absolutely right about the data that you're seeing. George Weiner: Um, alright. War corner, the 10 90 rule. Can you unpack this and then maybe apply it to somebody who thinks that their like AI strategy is done? 'cause they spend $20 or $200 a month on some tool and then like, call it a day. 'cause they did ai. Avinash Kaushik: Yes, yes. No, it's, it's good. I, I developed it in context of analytics. When I was at my, uh, job at Intuit, I used to, I was at Intuit, senior director for research and analytics. And one of the things I found is people would consistently spend lots of money on tools in that time, web analytics tools, research tools, et cetera. And, uh, so they're spending a contract of a few hundred thousand dollars or hundreds of thousands of dollars, and then they give it to a fresh graduate to find insights. [00:41:00] I was like, wait, wait, wait. So you took this $300,000 thing and gave it to somebody. You're paying $45,000 a year. Who is young in their career, young in their career, and expecting them to make you tons of money using this tool? It's not the tool, it's the human. And so that's why I developed the the 10 90 rule, which is that if you have a, if you have a hundred dollars to invest in making smarter decisions, invest $10 in the tool, $90 in the human. We all have access to so much data, so much complexity. The world is changing so fast that it is the human that is going to figure out how to make sense of these insights rather than the tool magically spewing and understanding your business enough to tell you exactly what to do. So that, that's sort of where the 10 90 rule came from. Now, sort of we are in this, in this, um, this is very good for nonprofits by the way. So we're in this era. Where On the 90 side? No. So the 10, look, don't spend insane money on tools that is just silly. So don't do that. Now the 90, let's talk about the [00:42:00] 90. Up until two years ago, I had to spell all of the 90 on what I now call organic humans. You George Weiner: glasses wearing humans, huh? Avinash Kaushik: The development of LLM means that every single nonprofit in the world has access to roughly a third year bachelor's degree student. Like a really smart intern. For free. For free. In fact, in some instances, for some nonprofits, let's say I I just reading about this nonprofit that is cleaning up plastics in the ocean for this particular nonprofit, they have access to a p HT level environmentalist using the latest Chad GP PT 4.5, like PhD level. So the little caveat I'm beginning to put in the 10 90 rule is on the 90. You give the 90 to the human and for free. Get the human, a very smart Bachelor's student by using LLMs in some instances. Get [00:43:00] for free a very smart TH using the LLMs. So the LLMs have now to be incorporated into your research, into your analysis, into building a next dashboard, into building a next website, into building your next mobile game into whatever the hell you're doing for free. You can get that so you have your organic human. Less the synthetic human for free. Both of those are in the 90 and, and for nonprofit, so, so in my work at at Coach and Kate Spade. I have access now to a couple of interns who do free work for me, well for 20 minor $20 a month because I have to pay for the plus version of G bt. So the intern costs $20 a month, but I have access to this syn synthetic human who can do a whole lot of work for me for $20 a month in my case, but it could also do it for free for you. Don't forget synthetic humans. You no longer have to rely only on the organic humans to do the 90 part. You would be stunned. Upload [00:44:00] your latest, actually take last year's worth of donations, where they came from and all this data from you. Have a spreadsheet lying around. Dump it into chat. GPT, I'll ask it to analyze it. Help you find where most donations came from, and visualize trends to present to board of directors. It will blow your mind how good it is at do it with Gemini. I'm not biased, I'm just seeing chat. GPD 'cause everybody knows it so much Better try it with mistrial a, a small LLM from France. So I, I wanna emphasize that what has changed over the last year is the ability for us to compliment our organic humans with these synthetic entities. Sometimes I say synthetic humans, but you get the point. George Weiner: Yeah. I think, you know, definitely dump that spreadsheet in. Pull out the PII real quick, just, you know, make me feel better as, you know, the, the person who's gonna be promoting this to everybody, but also, you know, sort of. With that. I want to make it clear too, that like actually inside of Gemini, like Google for nonprofits has opened up access to Gemini for free is not a per user, per whatever. You have that [00:45:00] you have notebook, LLM, and these. Are sitting in their backyards for free every day and it's like a user to lose it. 'cause you have a certain amount of intelligence tokens a day. Can you, I just like wanna climb like the tallest tree out here and just start yelling from a high building about this. Make the case of why a nonprofit should be leveraging this free like PhD student that is sitting with their hands underneath their butts, doing nothing for them right now. Avinash Kaushik: No, it is such a shame. By the way, I cannot add to your recommendation in using your Gemini Pro account if it's free, on top of, uh, all the benefits you can get. Gemini Pro also comes with restrictions around their ability to use your data. They won't, uh, their ability to put your data anywhere. Gemini free versus Gemini Pro is a very protected environment. Enterprise version. So more, more security, more privacy, et cetera. That's a great benefit. And by the way, as you said, George, they can get it for free. So, um, the, the, the, the posture you should adopt is what big companies are doing, [00:46:00] which is anytime there is a job to be done, the first question you, you should ask is, can I make the, can an AI do the job? You don't say, oh, let me send it to George. Let me email Simon, let me email Sarah. No, no, no. The first thing that should hit your head is. I do the job because most of the time for, again, remember, third year bachelor's degree, student type, type experience and intelligence, um, AI can do it better than any human. So your instincts to be, let me outsource that kind of work so I can free up George's cycles for the harder problems that the AI cannot solve. And by the way, you can do many things. For example, you got a grant and now Meta allows you to run X number of ads for free. Your first thing, single it. What kind of ad should I create? Go type in your nonprofit, tell it the kind of things you're doing. Tell it. Tell it the donations you want, tell it the size, donation, want. Let it create the first 10 ads for you for free. And then you pick the one you like. And even if you have an internal [00:47:00] designer who makes ads, they'll start with ideas rather than from scratch. It's just one small example. Or you wanna figure out. You know, my email program is stuck. I'm not getting yield rates for donations. The thing I want click the button that called that is called deep research or thinking in the LL. Click one of those two buttons and then say, I'm really struggling. I'm at wits end. I've tried all these things. Write all the detail. Write all the detail about what you've tried and now working. Can you please give me three new ideas that have worked for nonprofits who are working in water conservation? Hmm. This would've taken a human like a few days to do. You'll have an answer in under 90 seconds. I just give two simple use cases where we can use these synthetic entities to send us, do the work for us. So the default posture in nonprofits should be, look, we're resource scrapped anyway. Why not use a free bachelor's degree student, or in some case a free PhD student to do the job, or at least get us started on a job. So just spending 10 [00:48:00] hours on it. We only spend the last two hours. The entity entity does the first date, and that is super attractive. I use it every single day in, in one of my browsers. I have three traps open permanently. I've got Claude, I've got Mistrial, I've got Charge GPT. They are doing jobs for me all day long. Like all day long. They're working for me. $20 each. George Weiner: Yeah, it's an, it, it, it's truly, it's an embarrassment of riches, but also getting back to the, uh, the 10 90 is, it's still sitting there. If you haven't brought that capacity building to the person on how to prompt how to play that game of linguistic tennis with these tools, right. They're still just a hammer on a. Avinash Kaushik: That's exactly right. That's exactly right. Or, or in your case, you, you have access to Gemini for nonprofits. It's a fantastic tool. It's like a really nice card that could take you different places you insist on cycling everywhere. It's, it's okay cycle once in a while for health reasons. Otherwise, just take the car, it's free. George Weiner: Ha, you've [00:49:00] been so generous with your time. Uh, I do have one more quick war. If you, if you have, have a minute, uh, your war on funnels, and maybe this is not. Fully fair. And I am like, I hear you yelling at me every time I'm showing our marketing funnel. And I'm like, yeah, but I also have have a circle over here. Can you, can you unpack your war on funnels and maybe bring us through, see, think, do, care and in the land of ai? Avinash Kaushik: Yeah. Okay. So the marketing funnel is very old. It's been around for a very long time, and once I, I sort of started working at Google, access to lots more consumer research, lots more consumer behavior. Like 20 years ago, I began to understand that there's no such thing as funnel. So what does the funnel say? The funnel says there's a group of people running around the world, they're not aware of your brand. Find them, scream at them, spray and pray advertising at them, make them aware, and then somehow magically find the exact same people again and shut them down the fricking funnel and make them consider your product.[00:50:00] And now that they're considering, find them again, exactly the same people, and then shove them one more time. Move their purchase index and then drag them to your website. The thing is this linearity that there's no evidence in the universe that this linearity exists. For example, uh, I'm going on a, I like long bike rides, um, and I just got thirsty. I picked up the first brand. I could see a water. No awareness, no consideration, no purchase in debt. I just need water. A lot of people will buy your brand because you happen to be the cheapest. I don't give a crap about anything else, right? So, um, uh, uh, the other thing to understand is, uh, one of the brands I adore and have lots of is the brand. Patagonia. I love Patagonia. I, I don't use the word love for I think any other brand. I love Patagonia, right? For Patagonia. I'm always in the awareness stage because I always want these incredible stories that brand ambassadors tell about how they're helping the environment. [00:51:00] I have more Patagonia products than I should have. I'm already customer. I'm always open to new considerations of Patagonia products, new innovations they're bringing, and then once in a while, I'm always in need to buy a Patagonia product. I'm evaluating them. So this idea that the human is in one of these stages and your job is to shove them down, the funnel is just fatally flawed, no evidence for it. Instead, what you want to do is what is Ash's intent at the moment? He would like environmental stories about how we're improving planet earth. Patagonia will say, I wanna make him aware of my environmental stories, but if they only thought of marketing and selling, they wouldn't put me in the awareness because I'm already a customer who buys lots of stuff from already, right? Or sometimes I'm like, oh, I'm, I'm heading over to London next week. Um, I need a thing, jacket. So yeah, consideration show up even though I'm your customer. So this seating do care is a framework that [00:52:00] says, rather than shoving people down things that don't exist and wasting your money, your marketing should be able to discern any human's intent and then be able to respond with a piece of content. Sometimes that piece of content in an is an ad. Sometimes it's a webpage, sometimes it's an email. Sometimes it's a video. Sometimes it's a podcast. This idea of understanding intent is the bedrock on which seat do care is built about, and it creates fully customer-centric marketing. It is harder to do because intent is harder to infer, but if you wanna build a competitive advantage for yourself. Intent is the magic. George Weiner: Well, I think that's a, a great point to, to end on. And again, so generous with, uh, you know, all the work you do and also supporting nonprofits in the many ways that you do. And I'm, uh, always, always watching and seeing what I'm missing when, um, when a new, uh, AKA's Razor and Newsletter come out. So any final sign off [00:53:00] here on how do people find you? How do people help you? Let's hear it. Avinash Kaushik: You can just Google or answer Engine Me. It's, I'm not hard. I hard to find, but if you're a nonprofit, you can sign up for my newsletter, TMAI marketing analytics newsletter. Um, there's a free one and a paid one, so you can just sign up for the free one. It's a newsletter that comes out every five weeks. It's completely free, no strings or anything. And that way I'll be happy to share my stories around better marketing and analytics using the free newsletter for you so you can sign up for that. George Weiner: Brilliant. Well, thank you so much, Avan. And maybe, maybe we'll have to take you up on that offer to talk sometime next year and see, uh, if maybe we're, we're all just sort of, uh, hanging out with synthetic humans nonstop. Thank you so much. It was fun, George. [00:54:00]

What is the mood of association executives in 2025? How are Associations utilizing AI to power their organizations?In this special episode of Associations Thrive, host Joanna Pineda is joined by colleagues from Matrix Group International, Inc.: Dave Hoernig, Vice President of Software Engineering, Jessica Parsley, Director of Project Management, and Tanya Kennedy Luminati, MatrixMaxx Product Manager. They look back on the trends they're seeing in the association space. They discuss:How the mood among associations is cautious and uncertain, with many waiting to see how year-end dues renewals, product sales, and event registrations pan out.Budget planning for 2026 is underway, and how most organizations are projecting lean years, but many remain hopeful and continue planning.How associations are prioritizing technology integrations to connect their AMS, LMS, CRM, community platforms, and advocacy tools.How careful planning, frequent communication, and realistic budgeting lead to successful integration projects.How associations want their websites to tell the story of their industry or profession to the public, policymakers, and potential members.The importance of storytelling in recent website redesigns, including The Fertilizer Institute's “Why Fertilizer” section and the American Counseling Association's “Learn About Counseling” navigation item.Associations are cautiously implementing AI tools, such as read-aloud functionality, chatbots, and AI-powered search, while being mindful of privacy and costs.How preparing content for AI answer engines similar to SEO, but with key differences. Associations must focus on having indexable content, page summaries, and FAQs that answer commonly asked questions.How many associations are experiencing CEO transitions.References:Matrix Group WebsiteTFI's Why FertilizerACA's What is Counseling?An example of read aloud functionality using AI

Episode Sponsor CTC Math – The no-prep, self-paced homeschool math curriculum that takes the pressure off parents and actually makes sense to kids. Try it free at ctcmath.com. Episode Snapshot College costs are soaring, ideological climates are shifting, and more students than ever are graduating late—or not at all—with mountains of debt. In this candid info-session, Lisa Nehring (director of True North Academy) unpacks the “college dilemma” and lays out two practical alternatives: Dual Degree High School – earn an accredited bachelor's while you finish high school. Tech & Trades Diploma – a two-year fast-track that marries solid academics with apprenticeship-ready skills. Along the way she tackles FAFSA headaches, the national trades shortage, protecting your teen's faith on campus, and how True North's advising team walks families through every step. Key Takeaways Sticker Shock: College tuition up 20 % in 10 years; textbooks up 400 %. Average in-state cost now ~$28K/yr; many privates top $65K. Debt Trap: U.S. student-loan debt = $1.1 trillion; deregulated lenders can capitalize unpaid interest during forbearance, ballooning balances. Completion Crisis: Average time to a bachelor's is 6 years; >50 % of freshmen never finish. Ideological Pressure: 70 % of incoming evangelical students renounce faith by Thanksgiving of freshman year; many never return. Trades Opportunity: 7 million skilled-trade openings now; projected shortfall of 2 million more by 2030. Starting wages often $18–$30/hr with zero college debt. True North Solutions: Dual Degree: 120 credits + high-school diploma, fully Cognia-accredited, ESA/and may be 529-eligible, no debt. Tech & Trades: 22 HS credits in two years, core academics + life & soft-skills, direct links to vetted apprenticeships (HVAC, electrical, auto, welding & more). Mix-and-Match: Students can start with trades and layer on the dual degree—or vice versa—based on goals. Support Built In: Dedicated advisors, robust LMS “virtual campus,” study-guide-plus-exam model (re-takeable), and a Christ-centered worldview throughout. Timestamp Guide Time Segment 00:00 Sponsor message – CTC Math 01:05 Lisa's intro & credentials (5 graduate degrees + 30 yrs homeschooling) 05:20 What's changed since 2020: rising costs & ideological shift 10:40 The true price tag: tuition, textbooks, student-loan traps 17:15 Why so many students need remediation & still drop out 22:50 Faith on campus: statistics that should sober parents 27:30 Trades shortage by the numbers – and why it matters 31:45 Dual Degree vs. Dual Credit: critical differences 36:10 Inside True North's Dual Degree structure (10 classes/yr) 42:05 Tech & Trades Diploma overview & first-year core 46:30 Q&A: transferring credits, finding apprenticeships, combining paths 53:10 Next steps & free advising call   (Times are approximate – use your podcast player's chapter markers.) Memorable Quote “Why pay for extra years of school when your teen can graduate with no debt, real-world skills, and a degree in hand before their peers even move into the dorms?” Resources & Links True North Academy Dual Degree Program – Details, sample course map, FAQs Tech & Trades Diploma – Curriculum snapshot & tuition info Free PDF: College Dilemma Checklist (QR code shared during the info meeting) Schedule a 15-minute advising call (no cost) Book recommendation: The Defining Decade by Dr. Meg Jay Dave Ramsey video on student-loan forbearance pitfalls (All links available in the episode description.) Ready to explore a dual-degree or trades track for your teen? Book a free advising session with True North Academy today and discover a path that fits your family's budget, timeline, and values.

In this episode of the HR Leaders Podcast, we speak with Will Leahy, VP of People at Greenhouse Software, about how AI is reshaping employee development and the democratization of coaching. Will shares how Greenhouse is leveraging AI tools like Kona and dynamic learning pathways to create personalized, in-the-flow training at scale while maintaining a strong remote culture. The conversation explores why the future of HR isn't just about technology, it's about using AI to amplify human connection, learning speed, and cultural cohesion in distributed teams.

In this episode, host Jethro Jones discusses the crucial topic of AI and cybersecurity with Sam Bourgeois, an experienced IT director with a background in private industry and education. The conversation covers the importance of AI standards, the ethical implications of AI use, and the need for cybersecurity awareness among young people. Sam introduces 'Make It Secure Academy,' an innovative platform aimed at educating students about cybersecurity through interactive and engaging methods. The episode emphasizes the critical need to incorporate these lessons into everyday education to protect children in an increasingly digital world.Cybertraps PodcastAI Standards, AI Ethics, and Cybersecurity for kids.Working for a company that has an International footprint How to support someone who wants to bring on tools. Guardrails, not blockade. NISTRegulations around AIIs it worthwhile for kids to learn standards about AI usage. A student should know and recognize there are correct and incorrect ways to use AI. With great power comes great responsibility. MakeITsecure academyOnce data is exposed, they're being watched and tracked all the timeKids will turn 18 with data exposed for years. How to teach kids without it being a gotcha! On a mission to protect every kid, one kid at a time. About Sam BourgeoisSam is the leader of a large managed services provider in the US serving global customers ranging from defense to education. He is the Sr. Dir. of Technology and Cybersecurity and leads the visioning of new products and services, oversees DEVSECOPs teams and serves as the cyber leader of the organization and many clients. He has deep telecommunication, IT, education, and corporate training industry experiences, and is passionate about serving those in need whether it's in Rotary or non-profit board membership. Socials: @makeitsecurellc = insta, Fbhttps://www.linkedin.com/company/102108099Webpresence LLC - https://www.makeitsecurellc.com/home501c3 - https://www.make-it-secure.org/LMS - https://makeitsecure.academy/Intro to the LMS and Courses - https://youtu.be/xEyFXhe6Z3E  We're thrilled to be sponsored by IXL. IXL's comprehensive teaching and learning platform for math, language arts, science, and social studies is accelerating achievement in 95 of the top 100 U.S. school districts. Loved by teachers and backed by independent research from Johns Hopkins University, IXL can help you do the following and more:Simplify and streamline technologySave teachers' timeReliably meet Tier 1 standardsImprove student performance on state assessments

In this episode, host Jethro Jones discusses the crucial topic of AI and cybersecurity with Sam Bourgeois, an experienced IT director with a background in private industry and education. The conversation covers the importance of AI standards, the ethical implications of AI use, and the need for cybersecurity awareness among young people. Sam introduces 'Make It Secure Academy,' an innovative platform aimed at educating students about cybersecurity through interactive and engaging methods. The episode emphasizes the critical need to incorporate these lessons into everyday education to protect children in an increasingly digital world.Cybertraps PodcastAI Standards, AI Ethics, and Cybersecurity for kids.Working for a company that has an International footprint How to support someone who wants to bring on tools. Guardrails, not blockade. NISTRegulations around AIIs it worthwhile for kids to learn standards about AI usage. A student should know and recognize there are correct and incorrect ways to use AI. With great power comes great responsibility. MakeITsecure academyOnce data is exposed, they're being watched and tracked all the timeKids will turn 18 with data exposed for years. How to teach kids without it being a gotcha! On a mission to protect every kid, one kid at a time. About Sam BourgeoisSam is the leader of a large managed services provider in the US serving global customers ranging from defense to education. He is the Sr. Dir. of Technology and Cybersecurity and leads the visioning of new products and services, oversees DEVSECOPs teams and serves as the cyber leader of the organization and many clients. He has deep telecommunication, IT, education, and corporate training industry experiences, and is passionate about serving those in need whether it's in Rotary or non-profit board membership. Socials: @makeitsecurellc = insta, Fbhttps://www.linkedin.com/company/102108099Webpresence LLC - https://www.makeitsecurellc.com/home501c3 - https://www.make-it-secure.org/LMS - https://makeitsecure.academy/Intro to the LMS and Courses - https://youtu.be/xEyFXhe6Z3E  Join the Transformative Mastermind Today and work on your school, not just in it. Apply today. We're thrilled to be sponsored by IXL. IXL's comprehensive teaching and learning platform for math, language arts, science, and social studies is accelerating achievement in 95 of the top 100 U.S. school districts. Loved by teachers and backed by independent research from Johns Hopkins University, IXL can help you do the following and more:Simplify and streamline technologySave teachers' timeReliably meet Tier 1 standardsImprove student performance on state assessments

Workplace performance isn't just L&D's responsibility; it belongs to the whole company.  And yet, many HR and learning teams still treat training as a standalone solution.  In this episode, Kevin Yates joins Karina Young to reframe how we think about impact, and why the question isn't just “Did people complete the program?” but “Did anything change as a result?” Kevin, known across the industry as the “L&D Detective,” shares what he's learned from nearly 30 years in the field and why measuring outcomes requires more than a survey or LMS report. He explains how to shift from reporting activity to proving contribution, and why L&D must be embedded in a broader performance ecosystem to make a meaningful difference. Together, they explore what most organizations overlook: how business goals get lost in translation, how legacy habits still shape how programs are designed, and how measurement can become a strategic advantage, not just a reporting requirement. Kevin also offers a practical lens for partnering across functions and building internal alignment around shared outcomes. For HR and L&D leaders navigating increasing pressure to deliver results, it's a timely reminder: meaningful change doesn't happen in a vacuum. It takes a village. Join us as we discuss: (00:00) Meet HR Superstar: Kevin Yates (02:38) How the L&D Detective name came about (04:37) Discovering the passion for measurement in L&D (07:47) Aligning training with business goals (09:31) Breaking legacy habits in L&D practices (10:56) Shifting from order-taker to performance consultant (12:56) The workplace performance ecosystem and its importance (16:30) Why L&D can't succeed alone in impacting business goals (21:00) Operationalizing the measurement of L&D's impact (23:28) Activity metrics vs. true performance impact (32:05) Leveraging AI tools to enhance L&D performance measurement   Resources: For the entire interview, subscribe to HR Superstars on Spotify, Apple Podcasts, or YouTube, or tune in on our website. Original podcast track produced by Entheo. Listening on a desktop & can't see the links? Just search for HR Superstars in your favorite podcast player. Hear Karina's thoughts on elevating your HR career by following her on LinkedIn: https://www.linkedin.com/in/karinayoung11/  Download 15Five's Performance Review Playbook: https://www.15five.com/ebook/review-process-playbook?utm_source=podcast&utm_medium=podcast&utm_campaign=Q2_2023_Podcast_CTAs&utm_content=Performance For more on maximizing employee performance, engagement, and retention, click here: https://www.15five.com/demo?utm_source=podcast&utm_medium=podcast&utm_campaign=Q2-Podcast-Ads&utm_content=Schedule-a-demo Kevin Yates's LinkedIn - https://www.linkedin.com/in/kevinmyates/

Send us a textKathleen Lord shares a rare blend of personal grit and professional insight in this dynamic episode recorded live at Pax8 Beyond 2025. From her early passion for equestrian sports to her executive leadership at Zensai, we explore how personal connection, smart systems, and human-centric tech drive real change.Kathleen dives into the realities of horse training, animal instincts, and performance ethics before pivoting into Zensai's mission: helping MSPs deliver post-sale value with ease. Her team's LMS, deeply integrated with Microsoft Teams, offers an elegant solution to a messy problem — keeping end-users engaged and trained without draining MSP resources.We also unpack how AI is reshaping sales funnels and why human connection still matters most — whether in the saddle or the boardroom.