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The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: How Restrictive H-1B Policies Are Driving Tech Talent Back to India, Q&A (Darian Chwialkowski, Third Stage Consulting) The Top 10 Reasons Why Transformations Fail How CIOs Can Avoid Blame for Failures We also cover a number of other relevant topics related to digital and business transformation throughout the show.
In this episode of Resilience Unraveled, Dr Russell Thackeray welcomes Kate Macafoose from Chang Robotics. Kate shares her journey from civil engineering in upstate New York to her current role at Chang Robotics in Jacksonville Beach, Florida. She delves into her early career in project management and her transition into the field of automation and robotics. The discussion highlights the challenges and resilience needed in male-dominated sectors, as well as the importance of mentorship for women in STEM. Kate elaborates on how Chang Robotics is revolutionising healthcare with autonomous robots designed to assist nurses by performing nonclinical tasks, ultimately reducing their workload and improving efficiency. The conversation also touches on the development, cybersecurity, implementation, and industry-wide potential of robotic systems.00:00 Introduction and Guest Welcome00:38 Kate's Background and Career Journey02:16 Challenges in Male-Dominated Fields03:23 Women in STEM and Mentorship05:34 Introduction to Robotics06:39 Robotic Applications in Healthcare10:09 Development and Implementation of Robotics12:30 Cybersecurity in Robotics14:11 Leadership and Robotics17:18 Future of Robotics and ConclusionYou can contact us at info@qedod.comResources can be found online or link to our website https://resilienceunravelled.com#resilience, #burnout, #intuition
Guest: Padraic Scanlan. Scanlan explains the evolution of Poor Laws, the harsh discipline of workhouses, and the implementation of soup kitchens like Soyer's during the famine.1847
If you're struggling to integrate legacy systems without killing visibility or choose the right TMS partner that actually delivers long-term value, tune in to this episode with Petra Nenickova from Legacy Supply Chain to know what real-world technology integration and digital transformation look like in today's freight environment across the US and Canada! From managing complex legacy systems and selecting flexible, integration-ready TMS platforms to driving user adoption through frontline involvement, practical training, and ongoing post-launch support, we get into how to evaluate vendors beyond polished demos, why system integrations like EDI and APIs are non-negotiable, how to prioritize core operations at go-live, and why clear communication and change management are the real drivers of ROI, visibility, and scalable freight technology success! About Petra Nenickova Petra currently manages the transportation tech stack, including their TMS, and she led several TMS projects from early discovery all the way through implementation. These experiences have taught her a lot about what truly works, what doesn't, and how to guide teams through change with confidence. She's genuinely passionate about both technology and transportation, and she loves the challenge of making systems more effective in supporting real business processes while creating a positive user experience. With a background in both front‑line operations and management, she understands the everyday challenges people face and what makes technology genuinely useful. She thrives on connecting the dots, solving problems, and helping people work smarter through better processes and better technology. Connect with Petra Website: https://legacyscs.com/ LinkedIn: https://www.linkedin.com/in/petranenickova/
This week on bigcitysmalltown, we focus on Bexar County leadership and the ongoing challenges facing San Antonio's county government. In light of the upcoming March 3 primary election, Bob Rivard and Cory Ames interviews Judge Peter Sakai, the incumbent county judge seeking re-election.The conversation covers Judge Sakai's decades-long public service, his approach to “back to basics” government, and the county's response to acute issues, including economic instability, food insecurity, affordable housing shortages, and reforms within the county bureaucracy. Judge Sakai speaks to his non-political background, his philosophy of collaborative problem-solving, and recent crisis management with federal funding cuts and strained social programs.Topics discussed include:• The impact of federal policy changes on Bexar County agencies and vulnerable families• County government's evolving strategies regarding public safety, health care access, and workforce development• Efforts to make elections secure and transparent in the face of technical and legal challenges• Implementation plans and long-term goals for Proposition A—Bexar County's commitment to east side revitalization and major venue investments• Collaboration and tension between county leadership, city hall, and local nonprofitsThe episode also addresses Judge Sakai's record on immigration policy, the complexities of jail staffing and overtime, and the challenges of balancing immediate needs with future planning. With early voting approaching, Judge Sakai reflects on his leadership style, campaign strategy, and the stakes for Bexar County's direction over the next four years.RECOMMENDED NEXT LISTEN:▶️ #153. The Race to Lead Bexar County: Ron Nirenberg – Catch last week's episode, where we interview opponent Former Mayor Ron Nirenberg. Bob Rivard and Cory Ames interview Nirenberg on why he is running, the state of the county, and what is at stake for this race. -- -- CONNECT
Industrial Talk is talking to Martin Weber, CEO at SPARETECH about "Tools to effectively manage spare parts inventory to reduce cost and improve optimization". Martin Weber from SPARETECH discussed their innovative spare parts management solution on the Industrial Talk podcast. Weber highlighted the challenges of managing spare parts, including high inventory levels and inefficient procurement. SPARETECH's software integrates with ERP and CMMS systems to optimize inventory, reduce costs, and improve efficiency. They have a database of 40 million parts and use AI to standardize part descriptions. Weber emphasized the importance of manual data extraction for the first six months to achieve ROI within a year. The company successfully rolled out their solution in 300 factories globally in 2022. Outline Introduction and Welcome to Industrial Talk Industrial Talk podcast, sponsored by CAP Logistics, emphasizing the importance of 24/7 insights into supply chains.Scott Mackenzie, welcomes listeners and highlights the podcast's focus on industry innovations and trends.Scott expresses gratitude to listeners and introduces Martin Weber from SPARETECH, highlighting the company's advanced technology.Scott encourages listeners to connect with SPARETECH and Martin, describing the industry as an exciting roller coaster. Encouragement to Start a Podcast in 2026 Scott urges listeners to start their own podcast in 2026, emphasizing its strategic value and return on investment (ROI).The podcast is seen as a way to build subject matter expertise and humanize business communication.Scott believes that human interaction will remain crucial even with advancements in automation and AI.The podcast is presented as a cost-effective way to differentiate and connect with customers and prospects. Technical Setup and Personal Background of Martin Weber Scott shares his experience with starting a podcast, including the challenges of setting up equipment.Martin Weber, introduces himself, mentioning his background at Porsche and his role in building a new factory.Martin explains his transition to SPARETECH and his passion for the spare parts industry.Martin highlights the complexities of managing spare parts and the potential for significant cost savings. Challenges and Opportunities in the Spare Parts Industry Martin discusses the challenges of managing spare parts, including the need for accurate data and efficient inventory management.He explains how SPARETECH helps companies audit their spare parts and optimize their inventory levels.Martin emphasizes the importance of accurate data to avoid unnecessary costs and waste.The conversation touches on the potential for significant cost savings by optimizing spare parts management. Implementation and Integration of SPARETECH Solutions Martin describes the process of integrating SPARETECH's software with existing ERP and CMMS systems.The software helps companies manage their spare parts inventory more efficiently, reducing costs and improving availability.Martin highlights the importance of involving decision-makers in the change management process.The software's powerful search and identification features help users quickly find and manage spare parts. Efficiency Gains and Return on Investment Martin explains how SPARETECH's software helps companies optimize their inventory levels and reduce capital tied up in spare parts.The software provides access to a database of 40 million parts, including supplier information, to help companies find the best deals.Martin discusses the potential for...
Jamie's Links: https://github.com/github/spec-kit https://owasp.org/ https://bsky.app/profile/gaprogman.com https://dotnetcore.show/ https://gaprogman.github.io/OwaspHeaders.Core/ Mike on LinkedIn Coder Radio on Discord Mike's Oryx Review Alice Alice Jumpstart Offer
In this episode of the HR Like a Boss podcast, John interviews Jayma DuChene, a passionate HR professional and fellow podcast host. They discuss the importance of supporting employees and the need for HR professionals to take care of themselves. Jayma shares her journey in HR, her experiences with creating workflows, and her podcast 'What's in a Name?' which explores the significance of names and their meanings. The conversation emphasizes the importance of personal development and the impact of names on identity.ABOUT JAYMAJayma DuChene is a seasoned human resources professional and senior product owner at OneDigital, holding a Bachelor of Science in Organizational Leadership, SHRM-SCP certification, and SAFe® Practitioner certification. With deep expertise in project management and solutions architecture, Jayma excels at researching emerging technologies and designing CRM solutions that empower Sales, Implementation, and Service teams. She is dedicated to implementing process automation initiatives that streamline business operations and drive efficiency. Prior to joining OneDigital, Jayma held key leadership roles at Resourcing Edge, including director of training and development, lead corporate systems trainer, and senior applications specialist. Beyond her professional achievements, Jayma hosts the “What's In a Name?” podcast, pursues her passion for photography, and actively volunteers with the HRACO Workforce Readiness Committee.
Send us a textWhat happens when we know exercise improves outcomes for cancer survivors…but most patients still can't access it? In this episode, I sit down with the guest speakers behind the upcoming APTA CSM session “Mind the Gaps: Advancing Equitable Implementation of Evidence-Based Exercise Programs for Survivors of Cancer” to unpack the real-world barriers between evidence and practice in exercise oncology.We dig into what it actually takes to implement evidence-based programs like Strength After Breast Cancer in clinical settings—and why equity has to be designed into the process from the start. From pre-implementation planning and adapting programs on the fly, to building community partnerships that expand access for under-resourced and minority survivors, this conversation moves beyond theory into actionable strategies clinicians can use now.If you care about closing research-to-practice gaps, advancing health equity, and delivering better rehab outcomes for cancer survivors, this one's for you.
The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: Rimini Street Wins Multiple Industry Awards, Q&A (Darian Chwialkowski, Third Stage Consulting) How AI Is Affecting the World of ERP (Tanya Gonzalez-Infor, Paul Farrell-ECI, Evgenya Kontorovich-Priority Software, Gareth Guest-Sage, Craig Sullivan-Oracle NetSuite, Christian Tabasa-TEC) Microsoft D365, Is it Worth it? We also cover a number of other relevant topics related to digital and business transformation throughout the show.
After building products at Microsoft (Xbox, Surface), a gaming startup acquired by Disney, Twilio, and Box, Vanessa Larco joined NEA where she led seed investments in Greenlight (debit card for kids), Majuri (C2C jewelry), and Limitless (acquired by Meta). She served on Robinhood's board for five and a half years through IPO and the GameStop crisis. In this conversation, Vanessa breaks down the specific traits that separate top 1% founders from the rest, why venture capital is experiencing structural chaos from simultaneous mega-fund expansion and generational transition, and why technical founders who deeply understand consumer behavior change represent the next wave of breakout companies. Topics Discussed: How customer-focused decision-making at Robinhood during GameStop contradicted public perception The specific paradox great founders must balance: maniacal focus versus recruiting ability Why venture is simultaneously dealing with fund size chaos and generational leadership transition The decision framework for staying in venture versus returning to operating Why consumer is radically underinvested despite users' demonstrated willingness to pay for "magical" experiences How AI tools create internet-scale behavior change by synthesizing information rather than just accessing it The authentic voice problem in VC personal branding and platform-specific challenges GTM Lessons For B2B Founders: Great founders possess maniacal focus on the right problems, not all problems: Vanessa describes exceptional founders as having an "insatiability" where "they pick the thing and they can focus on the thing and not get distracted by anything else and be maniacal about it." This isn't generic persistence—it's the ability to identify which specific problem deserves obsessive attention while ignoring everything else. Employees often push back ("we have these other fires"), but top founders maintain "one track" focus. The implementation challenge: most founders spread maniacal energy across too many initiatives. The best founders are "obsessive compulsive about how they build" on 1-2 things maximum, then deliberately de-prioritize everything else, even when it feels irresponsible. Incentive structure misalignment creates unwinnable scenarios: During GameStop, Robinhood faced retail traders whose incentives were fundamentally incompatible with traditional market participants. As Vanessa notes, "if your team and your company is bound by a certain set of incentives and you're up against someone with a very different set of incentives, that never really ends well." The Wall Street Bets mantra—"we can stay irrational longer than they can stay solvent"—explicitly weaponized this mismatch. For founders: map not just competitor strategies but their underlying incentive structures. Are they optimizing for growth, profitability, strategic acquirer appeal, or something else? When your incentives conflict with a market participant's (customer, partner, regulator, competitor), you cannot win through superior execution alone—you need structural repositioning. Technical founders who ship faster capture AI-era market position: Vanessa specifically seeks "technical founders with an eye for consumer behavior change" because "speed is really important in this era." This isn't about being first to market—it's about iteration velocity. When foundational models improve every few months and user expectations evolve weekly, the team that can "deliver on it faster than anyone else" compounds advantages. Non-technical founders add product/sales/fundraising cycles between insight and deployment. Technical founders collapse these cycles, testing behavioral hypotheses in days rather than quarters. In markets where "what's possible" changes monthly, this velocity differential determines who owns category definition. Behavior change wedges beat feature superiority: Vanessa looks for founders who understand "how this new technology is changing how people behave and changing what people expect of their tools" and can identify "what need can I fulfill better because I can build this thing that couldn't be built before." The critical insight: users don't adopt based on capability—they adopt when technology enables a behavior they already want but couldn't execute. She emphasizes products that are "radically faster, radically cheaper, radically easier" (not 10% better) and founders who understand "how they'll wedge into behaviors." Implementation framework: don't ask "what can this technology do?" Ask "what behavior is currently blocked by cost/speed/complexity that this technology removes the blocker for?" Category creation happens post-problem-solving, not pre-launch: Discussing Robinhood's positioning, Vanessa reveals how the team "stayed focused" on enabling "people to continue participating in the markets" rather than defending an abstract category. The company focused on structural problems (settlement times, capital requirements) rather than category messaging. For founders: solve the acute problem your customer articulates, even if it seems tactically narrow. Category definition emerges after you've solved related problems for enough customers that the pattern becomes obvious. Premature category creation forces you to defend an abstract positioning rather than deepen specific problem-solving. Personal brand building only works at the intersection of authenticity and utility: Vanessa admits "I can't find my authentic voice on Twitter to save my life" and her successful posts are "when I'm on an airplane and it's delayed by like over an hour and I'm angry." Meanwhile, "video and audio, way more my comfort zone" but requires "discipline that I don't think I yet possess." The lesson for founders: audience building helps ("people then know what you are, what you stand for... it helps establish trust faster, it helps people find you") but forced authenticity backfires. Better to own one channel where your natural communication style works than maintain mediocre presence across all platforms. LinkedIn for thoughtful analysis, Twitter for real-time reaction, podcasts for deep conversation—pick the format that doesn't require you to perform. // 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
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the critical staffing decisions leaders must make in the age of autonomous AI. You will learn the four key options organizational leaders must consider when AI begins automating existing roles. You will identify which essential durable skills guarantee success for employees working alongside powerful new technologies. You will discover how to adjust your hiring strategy to find motivated, curious employees who excel in an AI-augmented environment. You will gain actionable management strategies for handling employees who need encouragement after repetitive tasks become automated. Tune in now to understand how AI changes the modern workforce and secure your company’s future talent. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-durable-skills-in-age-of-agentic-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, one of the biggest questions that everybody has about AI, particularly as we’re seeing more automation capabilities, more autonomous capabilities. Last week we took a look at Claude Code, both on the Trust Insights podcast and on the live stream. Katie, you and I did some pretty cool stuff with it outside of that for our own company. Here’s the big question everybody wants an answer to—at least people who are in charge. And I want to hear your answer to this because I have an answer that’s a terrible answer. The answer is this. With the capabilities of AI today, and as they’re growing and becoming more autonomous, do I as a leader—do I hire, retrain, or outsource, or figure out the fourth category? Replace with AI? Hire, retrain, outsource, replace with AI. So, Katie, when you think about the people management at any company with that big 800-pound gorilla in the room called AI, how do you think about this? Katie Robbert: To borrow a phrase from Christopher S. Penn, it depends. And you knew I was going to say that. It really depends on what the responsibility is. So for those of us in the service industry—consulting—we have clients, customers. There’s still an expectation of human-to-human contact and relationship management, client services, really. So that I feel like unless that expectation goes away, which there’s a reason you’re in that industry in the first place, that I don’t see being able to replace. But then when you go behind the scenes, there’s a lot of tasks that can be automated, and that’s what you and I were working on at the end of last week. And so that to your question of, well, if the person is only just talking to the clients, why do I need someone full time? It really, again, it really depends on how many clients you have, how high maintenance they are, how much relationship you want to build with them. I am coming around on automating more stuff that someone, a human, could be doing or was doing. I am coming around on that. But when I look at my own role, what it’s doing is freeing me up to actually do what I’m supposed to be doing in my role versus being in the weeds. Whereas someone who isn’t me may have the opposite happening where this is all that they do. And so I see it personally as an opportunity for whoever is in that role of, “I’m doing things, just repetitive tasks.” They can either choose, “Okay, I’ve been automated out, I’m going to go find someplace else that hasn’t quite caught up with the technology yet,” or it’s an opportunity to really deep dive into critical thinking, to really look around and go, “Well, if I’m not doing this, what could I be doing? What am I not getting to that I have time for?” That’s the way that I personally think about it. And with the teams that I’ve managed, regardless of the technology, there’s always going to be something to take things off your plate, more team members to delegate to. That’s always my first go-to is what can you do with this time that you have back? And if their answer is, “Well, nothing,” okay, great. So I really, instead of me—and again, I know I’m unique—but instead of me saying, “Okay, you no longer have a job, I’ve automated you out,” I always try to give the person the choice of, “Okay, we’ve automated a lot of your stuff. What does that mean for you?” To see where their head is at. And that tells me a lot of what I need to know. Christopher S. Penn: I can definitely see it. Particularly thinking back to our agency days and the different personalities, there were certainly some people who, given the extra time, would have taken the initiative and said, “Okay, I’m going to do these eight other things.” And one person in particular who is fairly bossy to begin with, definitely would have. Katie Robbert: It wasn’t me. Christopher S. Penn: No, no. Would definitely have taken the initiative to try new things. There are other people who would have just said, “Okay, well, so instead of eight hours of tasks a day, I have four.” “So the other four, I’m literally just going to stare off into space vacantly.” Given those personalities then, and when you get a response back, say from that second archetype, if you will, where they just vacantly stare off into space for four hours a day, how do you manage that? What do you do with that human capital? Because certainly, as an organization gets larger, and you look at a company like IBM, for example, 300,000 employees, you could see that there might be a case to say, “We don’t need a hundred thousand of you,” because there’s so much slack in the system that you could easily, with good automation, consolidate that down. Katie Robbert: Here’s the thing about management that I think a lot of people get wrong. And to be fair, I think you do as well. You can’t change people. You can’t bend them to your will. You can’t say, “This is how it is, this is what you have to do.” People will self-select out. If you present them with, “These are the options that you have,” it might not be an immediate thing. There may be some willful resistance, some delusion, whatever, of, “No, I can totally do that.” What I’ve learned as a manager: If you have that person who had eight hours of stuff to do, now only has four, and they’re going to stare at the wall, you revise their job description accordingly. You rewrite, you revise their salary accordingly, legally providing it. You don’t just say, “Okay, I’m taking away half your money now,” or you give them a bunch of other things to do, and they may say, “Okay, I don’t want to do those things.” I think what I’m circling around is that people, to your point, some people will take the initiative, some people won’t. You can’t teach that. That is innately part of someone’s personality. You know me, Chris. You give me an inch, I’m like, “Great, I’m going to run the company.” Christopher S. Penn: Funny how that works. Katie Robbert: Yeah. So, I’m someone, if you give me a little bit more free time back, I’m like, “Great, what else can I do?” Not everyone is like that. And that’s okay. So that means that as a manager—as frustrating as it is as a leader—people will self-select out. And the people who don’t, those are the stragglers that, “Okay, now we need to think about counseling you out.” We need to coach you out of this so that you can see it’s either no longer a fit, you have to do more, whatever the situation is. And so to your question about, as we find more ways to automate the tasks, what do we do with the humans? And that’s my response: You give people the choice, you let them figure out what it is they’re going to do. Now, full disclosure, there are people who are not a good fit for your company, 100%. And that’s okay. And that’s when you make decisions that are really hard. You have challenging conversations. That happens. You can’t just blanket give everybody the choice. But that’s why I’m saying it’s a complicated answer. It depends. So when I think about our old team, everyone across the board who was on our old team, not everyone on that team was a good fit. Not everyone on that team would have been given the choice of, “Okay, we’re automating. Do you want to do more? Do you want to do?” Some people, you just know, “Okay, this is just not going to work.” So let’s start those conversations now. But being really honest and upfront: “This is the direction the team is moving in. This is where we see you. I don’t see that those two things are a good fit. We can either find you a different spot in the company or we can assist you to find other employment.” I feel like you just need to be fair to the people to be, “I’m not just going to fire you on the spot because I’ve found out AI is a shiny object.” You need to really be thoughtful again. I get it. Not everyone does this. Not everyone has the luxury to do it. But this would be my ideal state: having a conversation with every team member to be, “This is where we’re headed. Do you want to go with us or do you want to go someplace else? If you want to go someplace else, we will support you in that.” Christopher S. Penn: So you’re hitting on something really important, which is what is the archetype, if you will, or archetypes of that AI-enabled employee? The person who, given AI, given tools, good tools, is self-motivated to say, “What else can I do? What cool things can I do?” Kind of a tinkerer almost, but still gets the work done first. Who is that? What are the durable skills or soft skills that make up that personality? Obviously, self-motivation and curiosity are part of it. And then this is the part that I think everyone’s really interested in: How do we find and hire them? How do we determine in an interview this person is an AI-enabled employee who has that drive and that motivation to want to be more, and they don’t need their handheld to do it. Katie Robbert: I guess the first thing I would say is don’t call them AI-enabled because. I say that because you’re mixing the two different skill sets. I wrote about this last year. We’re not calling them soft skills anymore because they’re actually more important than you can teach anyone how to follow an SOP, but you can’t teach someone to be motivated. You can’t teach someone to be curious. So I made the argument that quote unquote, soft skills were more important than these hard skills, which are technology. So you can’t teach that. The way that I approach interviews is just having a conversation. To me, it’s less about asking. Obviously, you have questions that you have to ask: Do you know this technology? Have you had this challenge? What is this process? So and so forth. You need to get that baseline of experience. But then again, I recognize that not everyone has the luxury of doing this the way that I do it. But, given an ideal state, it’s just a conversation. So some of the questions that I remember Chris asked me during our interview, when you first interviewed me, were: What kind of books are you reading? What podcast do you listen to? I feel like those are really good questions because they tell you, is this person interested in learning more or are they just, it’s a 9 to 5. Once 5 o’clock hits, I’m checking out, which is totally respectable. Once 5 o’clock hits, I check out as well. But I try to do the most that I can within the time that I have. So, ideally there would be a blend of personal interests and professional interests, and maybe books and podcasts aren’t the thing. So, I think I said to you, “Oh, I read your newsletter.” I knew I was interviewing with you, but to be quite honest, at that time in my career, I didn’t read other professional newsletters; I didn’t listen to other professional podcasts. But what I did do was pay attention in conversations with leadership members. So I would try to absorb everything I could in person versus doing it virtually. And that’s the kind of information you want to suss out. So if you ask a person, “Oh, what do you read? What do you listen to?” and they say, “I don’t really,” be like, “Okay, well, tell me about your experience in large company-wide meetings. How do you feel when you’re in those?” What’s it like at your company? If given the opportunity to lead a meeting, would you want to? What does that look like? You can find answers to those questions without saying, “Are you curious? Are you motivated?” Because everyone’s going to try to say yes. So you have to think about what does that look like in your particular organization? First, you have to define what does a learner look like? What does someone who’s curious look like? What does that mean? Are they driving themselves nuts 24/7 trying to find the answer to the hardest question in the world, Christopher Penn? Or are they someone who is, “Hey, that’s really cool. Let me do a little bit of research.” There’s room for both. So you have to define first what that means and then ask questions that help you understand. This is someone who fits those characteristics. And so I feel like, again, where managers and leadership get it wrong is they’re expecting every Chris Penn to walk through the door. And that’s just not how it is. I am not you. I do not have the same level of passion about technology that you do. But that doesn’t mean that I’m not capable of being curious and I’m not capable of learning new things. Christopher S. Penn: Right. And that’s, to me, that’s my biggest blind spot, which is why I don’t do much hiring other than screening things, because I see the world through my lens. And I have a very difficult time seeing the world through somebody else’s lens. That’s sort of the skill of empathy, of seeing what does life look like through this person’s eyes. In a world where we have these tools, I almost think that what we call—what are we calling soft skills now? I mean, I suggested durable skills or transferable skills. What are you calling that? Katie Robbert: For the sake of this conversation, let’s call them durable. Christopher S. Penn: Okay. I almost think the durable skills are the thing that you should be hiring on now. Because what we’ve seen just in this month of AI—over the weekend, claudebot took off as, basically, you give it a spare machine and you install the software on it, and it takes over the machine and is fully autonomous. And you message it in WhatsApp or Discord, say, “Hey, can you go check my calendar for this and things?” And it does all these things on the back end. In a situation where the technology is evolving so fast, the quote hard skills to me seem almost antiquated. Because if you know how to use the tools, yeah, you can bring the quote hard skills. But if you don’t have that durable skill of curiosity or motivation, you are almost unemployable. Katie Robbert: I would agree with that. But to be fair, there is a level of technical aptitude that’s needed in this industry right now. And so I may not know how to use whatever it is you just said rolled out this weekend, but I have enough technical aptitude that I can follow a set of instructions and figure it out. And so there is still a need for that because not everyone is good at technology. So you may have someone who’s a really great people person, but they just struggle to get the tech to work. There may be room for them at the table. You first have to figure out what that looks like for your company. So maybe you have someone who’s going to be amazing with your clients. They’re going to have those deep conversations, make those connections. Your clients are going to stay forever. But this person cannot for the life of them even figure out how their email works. You have to make those choices. And I can already see you’re like, “Okay, I can’t deal with that person.” Christopher S. Penn: I’m thinking the opposite. I’m thinking the technology is evolving so fast that person’s valuable. Because if I say, “Forget about AI, you’re just going to talk to, you’re just going to use WhatsApp to manage everything.” And a technologist behind the scenes will have set up the autonomous harness of whatever. That person won’t need to do any tech. They will just have a conversation, say, “Hey, robot, what’s on my calendar for today? What are the top three things I need to get done today?” And it will go through, churn through, connect to this, grab this, do this. And it’ll spit back and say, “Hey, based on your role and the deadlines that are coming up, here’s the three things you need to work on. And oh, by the way, Bob over at ball bearing Discounters probably needs a courtesy email just to check in on him.” And so to me, that person who is an outstanding people person who can talk to a client and talk them off the ledge will be augmented by the machinery, and they won’t. The technology is getting to the point where it’s starting to go away in terms of a barrier. It’s just there; you just chat with it like anything else. So I would say that durable skill is even more important now. Katie Robbert: I would agree with that. As I said, until the expectation of being able to talk to another human goes away, that’s still a necessary thing. And I don’t see that going away anytime soon. Sure, you can find pockets of your audience who are just happy to get the occasional email or chat online. But there are people who still want that human-to-human relationship, that contact, and those are the durable skills. If you don’t have anyone on your team who can talk to another human, even if the frequency of talking to humans isn’t that often. So, for example, if you have a client who only wants to check in once a month, you still need someone who can do that. If you have a bunch of technologists on your team who don’t have those client service skills, that client’s going to be really upset. “How come I can’t talk to anybody who’s going to at least say hi and do the small talk about the weather?” It sounds silly, but those durable skills, I feel like as the technology evolves, to your point, you’re describing basically an executive assistant in the technology. “Go check my calendar, go do this, go do that.” I agree. You don’t need a human to do that. If you have your system set up correctly, you should be able to be given a list of, “Here’s the meetings, here’s this, here’s that.” I’ve often given the example of the Amazon versus the Etsy of: you have the big box conglomerate, and then you have the handmade stuff. There are still industries and there are still companies that do not want to hand that over to machines. And that’s okay. That’s the way they operate. They’re fine with that. Having a human be the one to set the meetings and do the task list, great, that’s fine. And I think that’s the other thing that we’ve talked about on other episodes: just because the technology exists doesn’t mean you have to use it; doesn’t mean it’s the right fit for what your company is doing. And it always goes back to what are the goals of your company. Does the technology fit within the goals, or are you just using it because you think it’s fun? Chris. Christopher S. Penn: The answer is always yes. It’s because it is fun. It is fun. How do you—I keep coming back to this because I’m bad at it. How do you hire that? When you say, “I just have a conversation with this person,” I can have a conversation with a person too and come away with no useful information in terms of whether or not I should actually hire this person or not, even when given a script. Because it’s the same as when you or I prompt a machine. We prompt them in very different ways. I get the outputs I’m looking for, and a lot of other people struggle. Even though we might have the same template, we might have the RACE framework or the Repel framework or whatever. Or the casino framework. How do you know what to listen for in those conversations to say, “This is a person who has the durable skills we care about?” Katie Robbert: It really depends on the questions you’re asking. So if you’re, “Hey, did you play sports in high school?” and they say yes, that doesn’t automatically make them a team player. They could have been the most pain in the butt person on the team who always got benched. But all you asked was, “Did you play sports in high school?” Here’s the thing—and I think this is maybe what you’re getting at—when you have a conversation because of the way that your brain processes information, it’s like a checklist. “Did they play sports?” Yes. “Have they been on teams before?” Yes. “Have they turned on a computer before?” Yes. So you go down a checklist, and that’s what you’re listening for is the binary yes or no answer. Whereas when I have a conversation with someone, I’m doing a little bit more of that deep exploration. “Okay, Chris, did you play sports in high school?” Yes. For me, that’s not a satisfactory enough answer. “Well, tell me about that experience. What was the sport? What was the team dynamic? What role or position did you have? Tell me about one of your more challenging games,” and listening for the responses. So if you said, “Well, I was on the lacrosse team in high school. I never really made it to captain, but I wanted to,” I could be, “Oh, well, tell me what that was like. Why didn’t you make it to captain?” “Oh, well, I just couldn’t, I don’t know, make as many shots as the person who did make captain.” “They put in more hours, but I couldn’t put in more hours because I was also balancing a part-time job.” “Oh, okay, that makes sense.” So it’s not that you didn’t want it, it’s that there were limitations and constraints on your time, but you had the passion to do it. There were just obstacles in your way. So it’s really starting to pick apart the nuance. Or you could say, “Yeah, I played lacrosse in high school.” “Oh, so tell me about some of your favorite memories of that.” “Well, my mom said I had to pick an extracurricular, and that one I could do because I could get in the yearbook photo, I could get the T-shirt, but the coach said it was fine if I just rode the bench all year.” Two very different answers to the same question. Christopher S. Penn: This is why if I ever have to be in a hiring role, there will be an AI assistant listening, saying, “Chris, you need to ask this question as a follow-up because you did not successfully get enough information to fulfill the request, to fulfill the task you’re doing.” Katie Robbert: But that’s a really important point. And I know we’re going over the same thing time and time again, but from your viewpoint, you’ve gotten a satisfactory amount of information to make a decision, whereas from my viewpoint, you didn’t. Versus vice versa. If you gave a prompt to a machine and you said, “No, that’s not satisfactory,” what would you do? Christopher S. Penn: Say, “You need to do this and this.” Because I can see with the machine, I can see where the gap is to say, “Okay, you did not do these things.” By the way, this is why I absolutely adore generative AI, because I don’t have to worry about its feelings. I could say, “Here’s where you failed, you have failed. This was a catastrophic failure. Try again.” Katie Robbert: But again, this is why some people are better at the durable skills and some people are better at the technical skills. And there’s room for both at the table. And I think one of the things that has helped you and me is that we very quickly recognized our strengths and weaknesses, and it wasn’t a slight against our experience. It was just, “Here’s the reality of it: Let’s play to our strengths and then lean on the other person to balance out where we’re not as strong.” Christopher S. Penn: Exactly. Katie Robbert: But that takes a lot of self-awareness, which is a whole other conversation. Christopher S. Penn: That is a durable skill all of its own. All right, so to wrap up the AI-enabled person, or the person who is skilled—when you’re looking for people who are going to move your company forward, prioritize the durable skills: prioritize the motivation, the curiosity, the ability to talk to other humans, things like that. Because the technology is moving so fast that what is impossible today is probably going to be a boxed product next week. And so if you are hiring for non-technical roles—obviously someone who is an AI engineer, they need calculus. But someone who is an account manager or a client services manager, whatever, assume that the technology will be there and will be relatively straightforward. Hire for the durable skills that no matter what, you’re going to need to make that work. If you’ve got some stories that you’d like to share about how you are doing hiring and to answer that question—should we hire, retrain, outsource, or replace Popeye or free, select—go to TrustInsights.ai/analyticsformarketers where you and over 4,500 other marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to this show, if there’s a platform you would rather have it on, instead, go to TrustInsights.ai/TIpodcast. You can find us at all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Speaker 3: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology and MarTech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and metalama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights Podcast, the Inbox Insights newsletter, the “So What?” Livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations—data storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI. Sharing knowledge widely, whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business. In the age of generative AI, Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.
The EF zkEVM team shares its 2026 implementation roadmap. OP Labs releases its post quantum roadmap. Kraken launches DeFi Earn. And Bitwise becomes a Morpho vault curator. Read more: https://ethdaily.io/869 Sponsor: Arkiv is an Ethereum-aligned data layer for Web3. Arkiv brings the familiar concept of a traditional Web2 database into the Web3 ecosystem. Find out more at Arkiv.network Disclaimer: Content is for informational purposes only, not endorsement or investment advice. The accuracy of information is not guaranteed.
Scott Connor (@CharlesChillFFB) is back as we conclude the series on Destination Dynasty! In Episode 129, Scott concludes with part five of the Roster Construction Series focusing on implementation in a current league or a startup, and how you should be thinking about roster construction. This series uses and a 12-team superflex template with 11 starters and 30 total roster spots (QB/2RB/3WR/TE/3FLEX/1SF). How do I build a new team? What do I need to review if I want to focus on construction in a current league? Thank you for checking out the Podcast, be sure to follow and comment if you have any questions, we are always happy to answer any. For Access to our Premium Tools (Trinity, WAR & More) & Discord Community https://ddfantasyfootball.com/subscriptions/ Subscribe to the Youtube Channel DDFFB https://www.youtube.com/@DDFFB Sub to the Wake up YT Channel: https://www.youtube.com/channel/UCaIJqSepjl-eZ2YEaaLciFA Subscribe to Ray's Channel: https://www.youtube.com/@RayGQue Check out All of Ray's Articles at Yahoo!: https://sports.yahoo.com/author/ray-garvin/ Follow Ray on Bleacher Report: https://br.app.link/7ExIDsWfHVb Follow us on Twitter: https://x.com/destinationdevy Become a Member on Youtube for access to the Dynasty Deal Show Live, Destination Chill and other member benefits, like priority reply to comments and unique badges and emojis: https://www.youtube.com/channel/UCV84gHvtBMXxzN9ZPI9XHfg/join Learn more about your ad choices. Visit megaphone.fm/adchoices
Based on AHLA's annual Health Law Connections article, this special ten-part series brings together thought leaders from across the health law field to discuss the top ten issues of 2026. In the first episode, Jackie Papish, Partner, Barnes & Thornburg LLP, speaks with Emily Felder, Shareholder, Brownstein Hyatt Farber Schreck LLP, about how the One Big Beautiful Bill Act and reduced federal health care spending will continue to impact the health care industry in 2026. They discuss issues related to state directed payments/provider tax credits, work requirements, the Rural Health Transformation Program, Administration oversight of federal funds to the states, and implications as the midterm elections approach. From AHLA's Hospitals and Health Systems Practice Group.Watch this episode: https://www.youtube.com/watch?v=N_blsonhIGgRead AHLA's Top Ten 2026 article: https://www.americanhealthlaw.org/content-library/connections-magazine/article/a879dda5-35f9-46fb-ad45-1b0799343d74/Health-Law-Forecast-2026 Access all episodes in AHLA's Top Ten 2026 podcast series: https://www.americanhealthlaw.org/education-events/speaking-of-health-law-podcasts/top-ten-issues-in-health-law-podcast-series Learn more about AHLA's Hospitals and Health Systems Practice Group: https://www.americanhealthlaw.org/practice-groups/practice-groups/hospitals-and-health-systemsEssential Legal Updates, Now in Audio AHLA's popular Health Law Daily email newsletter is now a daily podcast, exclusively for AHLA Comprehensive members. Get all your health law news from the major media outlets on this podcast! To subscribe and add this private podcast feed to your podcast app, go to americanhealthlaw.org/dailypodcast. Stay At the Forefront of Health Legal Education Learn more about AHLA and the educational resources available to the health law community at https://www.americanhealthlaw.org/.
This week on "Off the Cuff," Tim is joined by Jill and Sarah to catch listeners up on where things stand with the implementation timeline for the One Big Beautiful Bill Act (OBBBA). Jill kicks things off with some background on the negotiated rulemaking (neg reg) process and how the committee's discussions will impact the student loan portfolio, Pell Grants, and institutional accountability metrics. Sarah then walks through upcoming changes to federal Pell Grant awards for 2026-27 award year and details a new NASFAA flowchart that can guide members through that process.
Digital Stratosphere: Digital Transformation, ERP, HCM, and CRM Implementation Best Practices
Our 2nd most-listened-to episode of 2025, if you're only going to catch one, make it this one.
Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years.Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic.To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co/------In this episode, Peter McCrory, Head of Economics at Anthropic, unpacks the company's new Economic Index report. His team analysed millions of real Claude conversations to map exactly where AI is augmenting human work today and where it isn't. We explore the striking divergence between API and chat usage, why businesses need to extract tacit knowledge to unlock AI's potential, the "hollow ladder" risk for junior workers, and Anthropic's estimate that AI could add 1.0-1.8% to annual productivity growth over the next decade.Skip to the best parts:(00:00) Anthropic's Economic Index report(01:20) Claude's two distinct usage patterns(06:22) Examining AI's impact on the labor market(09:20) Where most businesses think too small(12:03) Why extracting tacit knowledge is so important(20:33) How do we create the next generation of experts?(23:22) Why people need to develop cognitive endurance(29:55) Long-term vs. short-term productivity(35:56) The future of human knowledge(37:46) Could AI's greatest impact go unmeasured?(41:55) How task bottlenecks have moved(46:09) Implementation resembles a staircase - not a curve(50:47) "Capability doesn't instantly deliver adoption"------Where to find me:Exponential View newsletter: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azhar/Twitter/X: https://x.com/azeemProduction by supermix.io and EPIIPLUS1. Production and research: Chantal Smith and Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
This week, the hosts go deep on out-of-band updates, unwanted "innovations," and the uneasy cost of tech's latest gold rush. Plus, securing a Microsoft account is not as hard as some think, and neither are passkeys once you get past the jargon. And for developers, AI Dev Gallery offers a fascinating glimpse at what you can do for free with AI used against a CPU, GPU, or NPU. Windows 11 Microsoft issues an emergency fix for a borked Windows Update. Right. A fix for a fix. Hell freezes over, if only slightly: Microsoft quietly made some positive changes to forced OneDrive Folder Backup. Donʼt worry, itʼs still forced (and appears to be opt-in, but isnʼt). But you can back out more elegantly. So itʼs opt-out, not opt-in, but a step forward. Plus, a new behavior Windows 11 on Arm PCs can now download games from the Xbox app (previously only through the Insider program) Over 85 percent of Xbox games on PC work in WOA now Prism emulator now supports AVX and AVX2 and Epic Anti-Cheat, and there is a new Windows Performance Fit feature offering guidance on which titles should play well. Beta: New 25H2 build with account dialog modernization, Click to Do and desktop background improvements. Not for Dev, suggesting itʼs about to move to 26H1 Notepad and Paint get more features yet again. Notably, these updates are for Dev and Canary only, suggesting these might be 26Hx features (then again, versions don't matter, right?) AI Just say no: To AI, to Copilot, and to Satya Nadella Our national nightmare is over: You can now (easily) hide Copilot in Microsoft Edge ChatGPT Go is now available worldwide, ads are on the way because of course Wikipedia partners with Amazon, Meta, Microsoft, more on AI Xbox & gaming January Xbox Update brings Game Sync Indicator, more Solid second half of January for Xbox Game Pass Microsoft will likely introduce a free, ad-supported Xbox Cloud Gaming tier because of course Tips & picks Tip of the week: Secure your Microsoft account App pick of the week: AI Dev Gallery RunAs Radio this week: Ideation to Implementation with Amber Vandenburg Liquor pick of the week: Estancia Raicilla Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit
This week, the hosts go deep on out-of-band updates, unwanted "innovations," and the uneasy cost of tech's latest gold rush. Plus, securing a Microsoft account is not as hard as some think, and neither are passkeys once you get past the jargon. And for developers, AI Dev Gallery offers a fascinating glimpse at what you can do for free with AI used against a CPU, GPU, or NPU. Windows 11 Microsoft issues an emergency fix for a borked Windows Update. Right. A fix for a fix. Hell freezes over, if only slightly: Microsoft quietly made some positive changes to forced OneDrive Folder Backup. Donʼt worry, itʼs still forced (and appears to be opt-in, but isnʼt). But you can back out more elegantly. So itʼs opt-out, not opt-in, but a step forward. Plus, a new behavior Windows 11 on Arm PCs can now download games from the Xbox app (previously only through the Insider program) Over 85 percent of Xbox games on PC work in WOA now Prism emulator now supports AVX and AVX2 and Epic Anti-Cheat, and there is a new Windows Performance Fit feature offering guidance on which titles should play well. Beta: New 25H2 build with account dialog modernization, Click to Do and desktop background improvements. Not for Dev, suggesting itʼs about to move to 26H1 Notepad and Paint get more features yet again. Notably, these updates are for Dev and Canary only, suggesting these might be 26Hx features (then again, versions don't matter, right?) AI Just say no: To AI, to Copilot, and to Satya Nadella Our national nightmare is over: You can now (easily) hide Copilot in Microsoft Edge ChatGPT Go is now available worldwide, ads are on the way because of course Wikipedia partners with Amazon, Meta, Microsoft, more on AI Xbox & gaming January Xbox Update brings Game Sync Indicator, more Solid second half of January for Xbox Game Pass Microsoft will likely introduce a free, ad-supported Xbox Cloud Gaming tier because of course Tips & picks Tip of the week: Secure your Microsoft account App pick of the week: AI Dev Gallery RunAs Radio this week: Ideation to Implementation with Amber Vandenburg Liquor pick of the week: Estancia Raicilla Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit
This week, the hosts go deep on out-of-band updates, unwanted "innovations," and the uneasy cost of tech's latest gold rush. Plus, securing a Microsoft account is not as hard as some think, and neither are passkeys once you get past the jargon. And for developers, AI Dev Gallery offers a fascinating glimpse at what you can do for free with AI used against a CPU, GPU, or NPU. Windows 11 Microsoft issues an emergency fix for a borked Windows Update. Right. A fix for a fix. Hell freezes over, if only slightly: Microsoft quietly made some positive changes to forced OneDrive Folder Backup. Donʼt worry, itʼs still forced (and appears to be opt-in, but isnʼt). But you can back out more elegantly. So itʼs opt-out, not opt-in, but a step forward. Plus, a new behavior Windows 11 on Arm PCs can now download games from the Xbox app (previously only through the Insider program) Over 85 percent of Xbox games on PC work in WOA now Prism emulator now supports AVX and AVX2 and Epic Anti-Cheat, and there is a new Windows Performance Fit feature offering guidance on which titles should play well. Beta: New 25H2 build with account dialog modernization, Click to Do and desktop background improvements. Not for Dev, suggesting itʼs about to move to 26H1 Notepad and Paint get more features yet again. Notably, these updates are for Dev and Canary only, suggesting these might be 26Hx features (then again, versions don't matter, right?) AI Just say no: To AI, to Copilot, and to Satya Nadella Our national nightmare is over: You can now (easily) hide Copilot in Microsoft Edge ChatGPT Go is now available worldwide, ads are on the way because of course Wikipedia partners with Amazon, Meta, Microsoft, more on AI Xbox & gaming January Xbox Update brings Game Sync Indicator, more Solid second half of January for Xbox Game Pass Microsoft will likely introduce a free, ad-supported Xbox Cloud Gaming tier because of course Tips & picks Tip of the week: Secure your Microsoft account App pick of the week: AI Dev Gallery RunAs Radio this week: Ideation to Implementation with Amber Vandenburg Liquor pick of the week: Estancia Raicilla Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit
The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: Accenture's Acquisition of Faculty, Q&A (Darian Chwialkowski, Third Stage Consulting) How Mid-Market ERP Systems Are at a Crossroads (Jose Gomez, IT leader at Stephen Gould and founder of EpiUsers.help & Kerrie Jordan, Epicor) Are SAP's Days As Market Leader Over? We also cover a number of other relevant topics related to digital and business transformation throughout the show.
This week, the hosts go deep on out-of-band updates, unwanted "innovations," and the uneasy cost of tech's latest gold rush. Plus, securing a Microsoft account is not as hard as some think, and neither are passkeys once you get past the jargon. And for developers, AI Dev Gallery offers a fascinating glimpse at what you can do for free with AI used against a CPU, GPU, or NPU. Windows 11 Microsoft issues an emergency fix for a borked Windows Update. Right. A fix for a fix. Hell freezes over, if only slightly: Microsoft quietly made some positive changes to forced OneDrive Folder Backup. Donʼt worry, itʼs still forced (and appears to be opt-in, but isnʼt). But you can back out more elegantly. So itʼs opt-out, not opt-in, but a step forward. Plus, a new behavior Windows 11 on Arm PCs can now download games from the Xbox app (previously only through the Insider program) Over 85 percent of Xbox games on PC work in WOA now Prism emulator now supports AVX and AVX2 and Epic Anti-Cheat, and there is a new Windows Performance Fit feature offering guidance on which titles should play well. Beta: New 25H2 build with account dialog modernization, Click to Do and desktop background improvements. Not for Dev, suggesting itʼs about to move to 26H1 Notepad and Paint get more features yet again. Notably, these updates are for Dev and Canary only, suggesting these might be 26Hx features (then again, versions don't matter, right?) AI Just say no: To AI, to Copilot, and to Satya Nadella Our national nightmare is over: You can now (easily) hide Copilot in Microsoft Edge ChatGPT Go is now available worldwide, ads are on the way because of course Wikipedia partners with Amazon, Meta, Microsoft, more on AI Xbox & gaming January Xbox Update brings Game Sync Indicator, more Solid second half of January for Xbox Game Pass Microsoft will likely introduce a free, ad-supported Xbox Cloud Gaming tier because of course Tips & picks Tip of the week: Secure your Microsoft account App pick of the week: AI Dev Gallery RunAs Radio this week: Ideation to Implementation with Amber Vandenburg Liquor pick of the week: Estancia Raicilla Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit
How do you get an idea to implementation in your organization? Richard chats with Amber Vanderburg about the work she's done helping teams understand the process of getting projects started and finished. Amber talks about defining a clear starting line, ending line, and dead line. While many projects are important, prioritization is the challenge. This means often other priorities have to be resolved before something new can be started - you need resources and time to be successful. Working through the process takes time, but the alternative is failure to meet expectations. It takes planning and clear communication to get things done!LinksPathwayz GroupMythical Man MonthThe Four Disciplines of ExecutionSpeed of TrustThe Culture MapRecorded December 4, 2025
Join Head of Living Investment Balraj Birdi and Principal Associate Steven Thom, who will be discussing the Renters' Rights Act, and the imminent changes to the private rented sector, likely impact on the market and how landlords can start preparing now.
This week, the hosts go deep on out-of-band updates, unwanted "innovations," and the uneasy cost of tech's latest gold rush. Plus, securing a Microsoft account is not as hard as some think, and neither are passkeys once you get past the jargon. And for developers, AI Dev Gallery offers a fascinating glimpse at what you can do for free with AI used against a CPU, GPU, or NPU. Windows 11 Microsoft issues an emergency fix for a borked Windows Update. Right. A fix for a fix. Hell freezes over, if only slightly: Microsoft quietly made some positive changes to forced OneDrive Folder Backup. Donʼt worry, itʼs still forced (and appears to be opt-in, but isnʼt). But you can back out more elegantly. So itʼs opt-out, not opt-in, but a step forward. Plus, a new behavior Windows 11 on Arm PCs can now download games from the Xbox app (previously only through the Insider program) Over 85 percent of Xbox games on PC work in WOA now Prism emulator now supports AVX and AVX2 and Epic Anti-Cheat, and there is a new Windows Performance Fit feature offering guidance on which titles should play well. Beta: New 25H2 build with account dialog modernization, Click to Do and desktop background improvements. Not for Dev, suggesting itʼs about to move to 26H1 Notepad and Paint get more features yet again. Notably, these updates are for Dev and Canary only, suggesting these might be 26Hx features (then again, versions don't matter, right?) AI Just say no: To AI, to Copilot, and to Satya Nadella Our national nightmare is over: You can now (easily) hide Copilot in Microsoft Edge ChatGPT Go is now available worldwide, ads are on the way because of course Wikipedia partners with Amazon, Meta, Microsoft, more on AI Xbox & gaming January Xbox Update brings Game Sync Indicator, more Solid second half of January for Xbox Game Pass Microsoft will likely introduce a free, ad-supported Xbox Cloud Gaming tier because of course Tips & picks Tip of the week: Secure your Microsoft account App pick of the week: AI Dev Gallery RunAs Radio this week: Ideation to Implementation with Amber Vandenburg Liquor pick of the week: Estancia Raicilla Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the practical application of AI agents to automate mundane marketing tasks. You will define what an AI agent is and discover how this technology performs complex, multi-step marketing operations. You will learn a simple process for creating knowledge blocks and structured recipes that guide your agents to perform repetitive work. You will identify which tools, like your content scheduler or website platform, are necessary for successful, end-to-end automation. You will understand crucial data privacy measures and essential guardrails to protect your sensitive company information when deploying new automated systems. Tune in now to see how you can permanently eliminate hours of boring work from your weekly schedule! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-agentic-ai-practical-applications-claude-cowork.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, one of the things that people have said, me especially, is that 2026 is the year of the agent. The way I define an agent is it’s like a real estate agent or a travel agent or a tax agent. It’s something that just goes and does, then comes back to you and says, “Hey, boss, I’m done.” Katie, you and I were talking before the show about there’s a bunch of mundane tasks, like, let’s write some evergreen social posts, let’s get some images together, let’s update a landing page. Let me ask you this: when you look at those tasks, do they feel repetitive to you? Katie Robbert: Oh, 100%. I’ve automated a little bit of it. And by that, what I mean is I have the background information about Trust Insights. I have the tone and brand guidelines for Trust Insights. So if I didn’t have those things, those would probably be the biggest lift. And so all I’m doing is taking all of the known information and saying, okay, let’s create some content—social posts, landing pages—out of all of the requirements that I’ve already gathered, and I’m just reusing over and over again. So it’s completely repetitive. I just don’t have that more automated repeatability where I can just push a button and say, “Go.” I still have to do the work of loading everything up into a single system, going through it piece by piece. What do I want? Am I looking at the newsletter? Am I looking at the live stream? Am I looking at this podcast? So there’s still a lot of manual that I know could be automated, and quite frankly, it’s not the best use of my time. But it’s got to get done. Christopher S. Penn: And so my question to you is, what would it look like? We’ll leave the technology aside for the moment, but what would it look like to automate that? Would that be something where you would say, “Hey, I want to log into something, push a button, and have it spit out some stuff. I approve it, and then it just…” Katie Robbert: Goes, yeah, that would be amazing. I would love to, let’s say on a Monday morning, because I’m always online early. I would love to, when I get up and I’m going through everything in the background, have something running, and I can just say, “Hey, I want two evergreen posts per asset that I can schedule for this week.” You already have all of the information. Let’s go ahead and just draft those so I can take a look. Having that stuff ready to go would be so helpful versus me having to figure out where does. It’s not all in one place right now. So that’s part of the manual process is getting the Trust Insights knowledge block, finding the right gem that has the Trust Insights tone, giving the background information on the newsletter and the background information on the podcast and so on so forth, making sure that data is up to date. As I was working through it this morning and drafting the post and the landing pages, the numbers of subscribers were wrong. That’s an easy fix, but it’s something that somebody has to know. And that’s the critical thinking part in order to update it appropriately. Those kinds of things, it all exists. It’s just a matter of getting into one place. And so when I think about automation, there’s so much within our business that gets neglected because of these—I’m not going to call them barriers—it’s just bandwidth that if I had a more automated way, I feel like I would be able to do that much more. Christopher S. Penn: So let’s think about this. There’s obviously a lot of systems, Claude Code, for example, and QWEN Code and stuff, the big heavy coding systems. But could you put all those requirements, all those basics into a folder on your desktop? Katie Robbert: Oh, absolutely. Christopher S. Penn: Okay. And if you had some help from a machine to say, “Hey, looks like you’re using our social media scheduling software, AgoraPulse. AgoraPulse has an API?” Katie Robbert: Yep. Christopher S. Penn: Would you feel comfortable saying to a machine, “AgoraPulse has an API. Here’s the URL for it. I ain’t going to read the documentation. You’re going to read the documentation and you’re going to come up with a way to talk to it.” Would you then feel comfortable just logging into, say, Claude Cowork, which came out recently and is iterating rapidly? It is becoming Claude Code for non-technical people. Katie Robbert: Yep. Christopher S. Penn: And Monday morning, say, “Hey, Claude, good morning, it’s Monday. You know what to do.” Invoke the Monday morning skill. It goes and it reads all the stuff in those folders because you’ve written out a recipe, a process, and then it says, “Here’s this week’s social posts. What do you think?” And you say, “That looks good.” And by the way, all of the images and stuff are already stored in the folders so you don’t need to go and download them every single time. This is great. “I will go push those to the AgoraPulse system.” Would that be something that you would feel comfortable using that would not involve writing Python code after the first setup? Katie Robbert: Oh, 100%. Because what I’m talking about is when we talk about evergreen content—and I’m not a social media manager, but we’re a small company and we all kind of do everything—this is content that’s not timely. It’s not to a specific. It only works for this quarter or it only works for this specific topic. Our newsletter is evergreen in the sense that we always want people subscribing to it. We always want people to go to TrustInsights.ai/Newsletter and get the newsletter every Wednesday. The topic within the newsletter changes. But posting about the fact that it’s available for people to subscribe to is the evergreen part. The same is true of the podcast, we want people to go to TrustInsights.ai/TIpodcast, or we want people to join us on our live stream every Thursday at 1:00 PM Eastern, and they can go to TrustInsights.ai/YouTube. What changes is the topic that we go through each week, but the assets themselves are available either live or on demand at those URLs at all times. I just wanted to give that clarification in case I was dating myself and people don’t still use the term evergreen content. Christopher S. Penn: Well, that makes total sense. I mean, those are the places that we want people to go. What I’m thinking about, and maybe this is something for a live stream at some point, is now that we have agentic frameworks for non-technical people, it might be worth trying to wire that up. If we think about it, of course, we’re going to use the 5Ps. What is the purpose? The purpose is to save you time and to have more things automated that really should be automated. And obviously, the performance measure of it is stop doing that thing. It’s 2 seconds on a Monday morning, or maybe 2 seconds on the first of the month. Because an agentic framework can crank out as much stuff as you have capacity for. If you buy the Claude Max plan, you can basically create 2 years worth of content all in one shot. And so it becomes People, Process, Platform. So you’re the people. The process is writing down what you want the agent to do, knowing that it can code, knowing that it can find stuff in your inbox, in your folder that you put on your desktop, knowing that it can reference knowledge blocks. And you could even turn those into skills to say, “Trust Insights Brand Voice is now a skill.” You’ll just use that skill when you’re writing. And the platform is obviously a system, like Cowork. And given how fast it’s been adopted and how many people are using it, every provider is going to have a version of this in the next quarter. They’d be stupid if they didn’t. That’s how I think you would approach this problem. But I think this is a solvable problem today, without buying anything new—because you’re already paying for it. Without creating anything new, because we’ve already got the brand voice, the style guide, the assets, the images. What would be the barrier other than free time to making this happen? Katie Robbert: I think that’s really it. It’s the free time to not only set it up, but also to do a couple of rounds of QA—quality assurance. Because, as I’ve been using the Trust Insights Brand Voice gem this morning, I’m already looking at places where I could improve upon it, places where I could inject a little more personality into it, but that takes more time, that’s more maintenance, and that just makes my list longer. And so for me, it really is time. Are the knowledge blocks where I want them to be? Do I need to? This is my own personal process. And this is why I get inundated in the weeds: I start using these tools, I see where there could be improvements or there needs to be updates. So I stop what I’m doing and I start to walk backwards and start to update all of the other things, which just becomes this monster that builds on itself. And my to-do list has suddenly gotten exponentially larger. I do feel like, again, there’s probably ways to automate that. For example, send out a skill that says, “Hey, here’s the latest information on what Trust Insights does. Update all the places that exist.” That’s a very broad stroke, but that’s the kind of stuff that if I had more automation, more support to do that, I could get myself out of the weeds. Because right now, to be completely honest, if I’m not doing it, that stuff’s not getting done. So nobody else is saying, our ideal customer profile should probably be updated for 2026. We all know it needs to be done, but guess who’s doing it? This guy with whatever limited time I have, I’m trying to carve out time to do that maintenance. And so it is 100% something I would feel comfortable handing off to automation with the caveat that I could still oversee it and make sure that things are coming out correctly so it doesn’t just black box itself and be like, “Okay, I did these 20 steps that you can no longer see, and it’s done.” And I’m like, “Well, where did it go wrong?” That’s the human intervention part that I want to make sure we don’t lose. Christopher S. Penn: Exactly. The number 1 question that people need to ask for any of these agentic tools for figuring out, “Can I do this?” is really simple: Is there an API? If there is an API, a machine can talk to a machine, which means AgoraPulse, our social media scheduling software, has an API. Our WordPress website—our WordPress itself has an API. Gravity Forms, the form management system that we have, has an API, YouTube has an API, etc. For example, in what you were just talking about, if you set up your API key in WordPress and gave it to Claude in Cowork and said, “Hey, Claude, you’re going to need to talk to my website. Here’s my API key. You write the code to talk to the website, but I want you to use your Explore agents to search the Trust Insights website for references to—I will call it dark data. Make me a list, make me a spreadsheet of all the references to dark data on a website, with column 1 being the URL and column 2 being the paragraph of text.” Then you could look at it and go, “Hey, Claude, every time we’ve said dark data prior to 2023, we meant something different. Go.” And using the WordPress API, change those posts or change those pages. This is the—I hate this term because it’s such a tech bro term, but it actually works. That is the unlock for a web, for any system: to say, is there an API that I can literally open up a system? And then as long as you trust your knowledge blocks, as long as you trust your recipe, your process, the system can go and do that very manual work. Katie Robbert: That would be amazing because you know a little bit more about my process. This morning, I was on those two systems. I was on our WordPress site, and I was on our YouTube channel. As I was drafting posts for our podcast, I went to our YouTube channel and took a screenshot of our playlist to get the topics that we’ve covered so that I could use those to update the knowledge block about the podcast, which I realized was outdated and still very focused on things like Google Analytics 4. It wasn’t really thinking about the topics we’ve been talking about in the past 6 to 12 months. I did that, and I also gave it the content from the landing page from our website about the podcast, realizing that was super out of date, but it gave enough information of, “And here’s all the places where the podcast lives that you can access it.” It was all valuable information, but it was in a few different places that I first had to bring together. And you’re saying there’s APIs for these things so that I don’t have to sit here with every other screenshot of Snagit crashing, pulling out my hair and going, “I just want to write some evergreen posts so that more people subscribe?” Christopher S. Penn: That’s exactly what I’m saying. Katie Robbert: Oh, my goodness. Christopher S. Penn: And I would say, now that I think about this, what you’re describing, you wouldn’t even need to use the API for that. Katie Robbert: Great. Christopher S. Penn: Because a lot of today’s agentic tools have the ability to say, “I can just go search the web. I can go look at your YouTube channel and see what’s on it.” And it can just browse. It will literally fire up a browser. So you can say, “I want you to go browse our YouTube channel for the last 6 months. Or, here’s the link to our podcast on Libsyn. I want you to go browse the last 25 episodes. And here’s the knowledge block in my folder on my desktop. Update it based on what you browse and call it version 2 so that we don’t overwrite the original one.” Katie Robbert: Oh, my goodness. Christopher S. Penn: Yeah, that. So this is the thing that again, when we think about AI agents and agentic AI, this is where there’s so much value. Everyone’s focused on, “I’m going to make the biggest flashes.” No. You can do the boring crap with it and save yourself so much sanity, but you have to know where to get started. And the system today that I would recommend to people as of January 2026 is Claude Cowork. Because you already installed Claude on your desktop, you tell it which folder it can work in so it’s not randomly wandering all over your computer and say, “Do these things.” And it’s no different than building an SOP. It’s just building an SOP for the junior most person on your team. Katie Robbert: Well, good news, that is my bailiwick: SOPs and process. And so, shocker, I tend to do things the exact same way every single time. That part of it: great, it needs a process done. It’s going to take me 2 seconds to write out exactly what I’m doing, how I want it done. That’s the part that I have nailed. The question I have for you, because I’ll bet this question is going up from a lot of people, is what kind of data privacy do we need to be thinking about? Because it sounds like we’re installing this third-party application on our work machines, on our laptops, and many of us keep sensitive information on our laptops—not in the cloud, not in Google Drive or SharePoint, wherever people have that shared information. Obviously, we’re saying you can only look at these things, but what is it? What do we need to be aware of? Is there a chance that these third-party systems could go rogue and be like, “Effort? I’m going to go look at everything. I’m going to look at your financials, I’m going to get your social. That photo that you have of your driver’s license that you have to upload every 3 months to keep your insurance? I’m going to grab that too.” What kind of things do we need to be aware of, and how do we protect ourselves? Christopher S. Penn: It comes down to permissions. The Anthropic’s app—I should be very clear about this—Anthropic’s app is very good about respecting permissions. It will work within the folder you tell it and it will ask you if it needs to reference a different folder: “Can I look at this folder?” It does not do it on its own. Claude Code. There is a special mode called Live Dangerously which basically says, “Claude, you can do whatever you want on my system.” It is not on by default. It cannot be turned on by default. You have to invoke it specifically. QWEN’s version is called YOLO. Cowork doesn’t even have that capability because they recognize just how stupidly dangerous that is. If you are working on very sensitive data, obviously the recommendation there would be to use it in a different profile on your computer. If your Windows machine or your Mac can have different profiles, you might have an AI only profile that will have completely different directories. You won’t even be able to see your main user’s. And then if you’re really, really concerned about privacy, then I would not use a cloud-based provider at all. I would use a system like QWEN Code, which does not have telemetry to relay back to anybody what you’re doing other than actions you take, like you turned it on, you turned it off, etc. And you can download QWEN Code source and modify it to turn all the telemetry off if you want to, or just delete it out of the code base and then use a local model that has no connection to the Internet if you’re working on the most sensitive data. Katie Robbert: Got it. I think that’s incredibly helpful because you and I, we’re very aware of data privacy and what sensitive data and protected data entails. But when I think about the average marketer—and it’s not to say that they don’t care, they do care—but it’s not top of mind because they’re just underwater trying to find any life raft to get out of the weeds and be like, “Okay, great, this is a great solution, I’m going to go ahead and stand it up.” And data privacy tends to be an afterthought after these systems have already accessed all of your stuff. Again, it’s not that people using them don’t care, it’s just not something that they’re thinking about because we make big assumptions that these tech companies are building things to only do what they’re saying they do. And we’ve been around long enough to know that they’re trying to get all. Christopher S. Penn: Our data exactly. The where the biggest leak for the casual user is going to be is in the web search capabilities. Because we’ve done demos on our live streams and things in the past of watching the tools do web search. If you do not provide it a secure form of web search, it will just use regular web search, and then all that stuff can be tracked back to your IP, etc. So there are ways to protect against that, and that’s a topic for another time. Katie Robbert: All right, go ahead. Christopher S. Penn: I think the next steps we should be doing is let’s get Claude Cowork set up maybe on a live stream and get the knowledge blocks without them being updated and say, “Let’s do this as a first test. Let’s try to update these knowledge blocks using web search tools and see what Claude Cowork can do for you.” Katie Robbert: I was going to suggest the exact same thing because if you’re not aware, every week, every Thursday at 1:00 PM Eastern, we have our live stream, which you can catch at TrustInsights.ai/YouTube. And we walk through these very practical things, very much a how-to. And so I love the idea of using our live stream to set up Claude Cowork. Is that what it’s called? Christopher S. Penn: That’s what it’s called, yes. Katie Robbert: Because I feel like it’s easy for you and I to talk about theoretically, “Here’s all the stuff you should do,” but people are craving the, “Can you just show me?” And that’s what we can do on the live stream, which is what I was trying to write for social posts, full circle. “Here’s the podcast, it introduces the idea. Here’s the live stream, it’s the how-to. Here’s the newsletter. It’s the big overarching theme.” I was trying to write social posts to do all of those things, and my gosh, if I just had an agent to do it for me, I could have done other things this morning because I’ve been working on that for about 2 hours. Christopher S. Penn: Yep. So the good news is once we do this, and once you start using this, you never do that again. That’s always the goal of automation. You solve the problem algorithmically and then you never solve it again. So that’ll be this week’s live stream. Katie Robbert: Yes. Christopher S. Penn: If you’ve got some thoughts about how you’re using AI agents to take care of mundane tasks, pop on by our free Slack. Go to TrustInsights.ai/analyticsformarketers, where you and over 4,500 other marketers are asking and answering each other’s questions every single week. And wherever it is that you watch or listen to the show, if there’s a channel you’d rather have it on, go to TrustInsights.ai/TIpodcast. You can find us at all the places where podcasts are served. Thanks for tuning in and we’ll talk to you on the next one. Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable Insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology and MarTech selection and implementation, and high-level strategic consulting. This encompasses emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the *In-Ear Insights* podcast, the *Inbox Insights* newsletter, the *So What?* live stream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations: Data Storytelling. This commitment to clarity and accessibility extends to Trust Insights’ educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of Generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.
Leading Improvements in Higher Education with Stephen Hundley
In this episode, we discuss the concepts of program theory and implementation fidelity, including their influences on teaching, learning, assessment, and improvement. Our guest is Sara Finney. Sara is Professor of Graduate Psychology at James Madison University, where she also serves as Associate Director for Student Affairs Assessment in the Center for Assessment and Research Studies.This season of Leading Improvements in Higher Education is sponsored by the Center for Assessment and Research Studies at James Madison University; learn more at jmu.edu/assessment. Episode recorded: November 2025. Host: Stephen Hundley. Producers: Chad Beckner and Angela Bergman. Original music: Caleb Keith. This award-winning podcast is a service of the Assessment Institute in Indianapolis; learn more go.iu.edu/assessmentinstitute.
Hosts: Mark Cardone & Theron Feidt "Learning isn't the problem—using it is." In this episode of the Achieve Results Now podcast, Mark Cardone and Theron Feidt kick off 2026 by tackling the "Seminar Trap." We've all been there: you leave a workshop or finish a book feeling "amped up," but by Tuesday at noon, the excitement has faded and nothing has changed. This episode isn't just about gathering more information; it's about the utilization of knowledge. Mark and Theron break down three specific, high-impact strategies to ensure the things you learn actually move the needle in your life and business. The 3 Key Action Steps for Mastery: 1. The "Can I Use This Tomorrow?" Test Don't let your takeaways evaporate. Use the Total Blurt Rule: immediately write down your biggest takeaways from memory without peaking at your notes. The Application Audit: Ask yourself, "Where can I fit this into my life or work tomorrow?" Immediate Action: Never leave the site of a goal without taking one small action step toward it. 2. Decision Over Notes Mark and Theron warn that "Notes are the cemetery of ideas." To avoid this, high performers collect decisions, not just information. The "Next Time" Trigger: Instead of a vague note, write: "Next time [X] happens, I will do [Y]." * Prioritize the Top 3: Focus on three concrete decisions rather than ten small to-dos. Fewer decisions made better will always move the needle further. 3. The "Combat Lecture" Drill To truly master a concept, you must be able to teach it. The Mirror Test: Stand up and give a two-minute "combat lecture" on what you've learned. Eliminate Filler: Record yourself to identify "ums" and "ahs" that signal a lack of mastery. The Movement Hack: Use your physiology. Moving your body while you speak helps your brain process information faster and makes you a more authoritative communicator. Key Quotes & Takeaways: "Notes are a cemetery for our ideas. High performers collect decisions." The Tuesday by Noon Theory: Most motivation from a weekend seminar dies by Tuesday at noon unless a specific action plan is in place. Mastery through Teaching: Teaching others is the fastest way to solidify your own understanding. Physiology Matters: Your posture and movement dictate your level of influence and mastery over the material. Resources Mentioned: Book: Ignite Results (Available for free at AchieveResultsNow.com) Connect: Follow us on Facebook at facebook.com/achieveresultsnow ARN Suggested Reading: Blessings In the Bullshit: A Guided Journal for Finding the BEST In Every Day – by Mark Cardone & Theron Feidt https://www.amazon.com/Blessings-Bullshit-Guided-Journal-Finding/dp/B09FP35ZXX/ref=sr_1_1?dchild=1&keywords=blessings+in+the+bullshit&qid=1632233840&sr=8-1 Full List of Recommended Books: https://www.achieveresultsnow.com/readers-are-leaders Questions? 1. Do you have a question you want answered in a future podcast? 2. Go to www.AchieveResultsNow.com to submit. Connect with Us: Get access to some of the great resources that we use at: www.AchieveResultsNow.com/success-store www.AchieveResultsNow.com www.facebook.com/achieveresultsnow www.twitter.com/nowachieve Thank you for listening to the Achieve Results NOW! Podcast. The podcast that gives you immediate actions you can take to start seeing life shifting results NOW! Episode Highlights & Timestamps [00:00] – The Energy of 2026: Mark and Theron kick off the first recording of the year with a focus on renewed energy and the "Learning vs. Using" gap. [01:15] – The "Tuesday by Noon" Theory: Why most seminar excitement fades within 72 hours and the secret to making motivation last. [02:45] – The Implementation Mindset: How to listen to podcasts and read books with the specific goal of finding one actionable item. [04:20] – Action Step #1: The Reality Audit: Introducing the "Can I Use This Tomorrow?" test and the importance of immediate application. [05:50] – The Total Blurt Rule: A simple memory hack to ensure your best ideas don't evaporate after a learning session. [07:10] – Action Step #2: Decisions Over Notes: Why notes are the "cemetery of ideas" and how to turn your notebook into a list of concrete decisions. [08:45] – The "Next Time" Trigger: A powerful psychological tool to automate your future success. [10:30] – Action Step #3: The Combat Lecture: Why the best way to master any subject is to teach it (and how to do it in front of a mirror). [12:15] – The Movement Hack: How using your physiology and moving while you speak increases your mental agility and influence. [13:40] – Eliminating Filler Words: Why "ums" and "ahs" signal a lack of mastery and how to talk slower for better impact. [15:00] – Episode Recap: A final review of the three steps to ensure you achieve results now.
Digital Stratosphere: Digital Transformation, ERP, HCM, and CRM Implementation Best Practices
Our most-listened-to episode of 2025, if you're only going to catch one, make it this one.
Podcast SEO and monetization strategies tailored for local businesses is today's episode discussion. Favour Obasi-ike emphasizes the importance of metadata, noting that elements like podcast titles, descriptions, and author names serve as critical search signals for discovery.By treats these fields as structured data, creators can establish local authority and ensure their content surfaces in specific user queries across platforms like Spotify and Apple Podcasts.The source further highlights the compounding value of backlinking, explaining how consistent episode releases create a vast network of searchable links that drive traffic back to a brand's website. Ultimately, the text argues that a well-optimized podcast acts as a long-term intellectual property asset that builds credibility and solves audience problems through searchable, evergreen audio content.In the 2026 search ecosystem, local visibility is no longer a matter of chance; it is a matter of engineering. This episode serves as a strategic blueprint for local businesses to command "page dominance" by transforming audio content into a high-authority digital asset. By deploying a "spread map" strategy—scaling influence from local roots to international authority—business owners can ensure their brand is the definitive answer to specific consumer queries.The objective is to move beyond the "hobbyist" mindset and treat podcasting as a capital-efficient SEO machine. We explore how to build an "engine" that runs independently via technical metadata and RSS syndication, allowing your brand to reside permanently in the search database.Key Takeaways for Local Business Owners1. Metadata is Your Search ID: Your title, author field, and description must match the exact phrases your customers use. If your "ID" doesn't match the search query, the algorithm cannot process your "legal documents," and your business remains invisible.2. Exploit the 50x50 Rule: Syndication is a volume game. By appearing on 50 platforms, you create thousands of high-authority backlinks. This sheer volume of structured data makes your brand unavoidable in local searches.3. Implementation over Information: ROI is the result of action, not note-taking. Podcasting is a long-term index fund for your brand; the earlier you start the "audio documentation," the more interest your digital legacy accrues. Move from "doer" to "architect" today.Need to Book An Appointment?>> Book a Complimentary SEO Discovery Call with Favour Obasi-Ike>> Visit Work and PLAY Entertainment website to learn about our digital marketing services>> Join our exclusive SEO Marketing community>> Read SEO Articles>> Subscribe to the We Don't PLAY Podcast>> Purchase Flaev Beatz Beats OnlinePodcast Timestamps[00:00:00] – The Spread Map: Establishing the strategic journey from local business to international brand authority.[00:03:00] – Statistical Authority: Reviewing personal benchmarks (600 episodes, 156 countries) as a model for growth.[00:06:00] – The Harry Potter Paradox: Why naming your show for the "benefit" is the only way to be found before you are famous.[00:10:00] – The Psychology of Blue Links: Why "Blue Links" signify trust and confidence in the search results.[00:14:00] – Spotify Signal Case Study: Using the phrase "workout habits for men over 40" to identify exact-match search signals.[00:22:00] – Compounding Link Math: The 50x50 breakdown of how to generate 2,500 links across platforms like SiriusXM and iHeart.[00:31:00] – The Celese Interaction: Overcoming ADHD and task-paralysis by choosing documentation over perfection.[00:45:00] – The Legacy Challenge: Transitioning from a task-based worker to a legacy-based brand architect.The Mathematics of Syndication & The "Compounding Effect"Strategic dominance is a function of Depth and Cadence. While frequency is important, "Depth" is determined by your average episode length. A 60-minute episode provides sixty times more data points for an algorithm to index than a one-minute clip.The true ROI of podcasting is found in the Compounding Link Formula:50 Episodes (One year of weekly audio documentation) x 50 Distribution Platforms (Apple, Spotify, SiriusXM, Podchaser, Castbox, iHeart, etc.) = 2,500 High-Authority BacklinksThis volume creates a "digital balloon that never pops." As you add more helium (content), the structure becomes stiffer and more secure. To maximize this, maintain a Cadence (release cycle) closer to "1" (daily). A faster cadence spins the RSS feed more frequently, signaling to search engines that your brand is an active, relevant authority.The following 15 monetization levers are the tactical parameters required to convert conversational documentation into long-term ROI and a lasting digital legacy.Episode Breakdown on the 15 Monetization StrategiesPART 1: CORE DISCOVERY METADATA (Your Digital ID Card)1. Podcast TitleExecution: Match the show name to the specific topic or core benefit your audience seeks.So What? Listeners search for solutions and interests, not your name. A descriptive title ensures discoverability in search before you have a famous brand.2. Podcast DescriptionExecution: Exploit the full ~4,000-character limit as a "Search Bank." Use refined keywords, clear value propositions, and a strong call-to-action.So What? This is your show's primary Search ID. If it doesn't match user queries, algorithms can't "read" or rank your content effectively.3. Author/Host FieldExecution: Strategically expand your name with professional identifiers (e.g., "Alex Chen | Venture Capital Analyst").So What? This data feeds APIs and LLMs, establishing your niche authority within recommendation systems and digital assistants.4. Genre & Category SelectionExecution: Use platform hierarchies (e.g., ListenNotes, Apple) to select precise Primary, Secondary, and Tertiary categories.So What? Correct categorization moves you from competing with millions of general shows to dominating a specific, interested listener ecosystem.5. Episode TitleExecution: Adopt a clear, "Guest-First" or "Topic-First" naming convention (e.g., "Dr. Sarah Lee: The Neuroscience of Sleep").So What? It maximizes clarity for listeners and SEO. A guest's name at the front captures their audience and amplifies "link juice" to that episode URL.6. Episode DescriptionExecution: Implement web-style formatting: use H2/H3 headers, bullet points, timestamps, and hyperlinks to key resources.So What? Structured data helps both listeners scan and bots "dissect" your content, boosting engagement metrics and canonical linking power.PART 2: VISUAL & TECHNICAL EXECUTION7. Podcast Cover ArtExecution: Command professionalism with compliant, 3000 x 3000 pixels, visually simple art that is legible at thumbnail size.So What? High-quality, optimized art provides an immediate competitive edge against the significant portion of shows using amateur visuals.8. Episode Cover Art (Optional but Powerful)Execution: For key interviews, create guest-centric visuals that differ from your main show art.So What? Visual differentiation in a subscriber's feed signals unique, fresh value, increasing click-through rates for specific high-interest topics.9. Ad Roll PlacementsExecution: Strategically engineer ad breaks: pre-roll (for direct response), mid-roll (for highest attention), post-roll (for brand storytelling).So What? These are primary monetization vehicles. Placement affects listener retention and ad performance by capturing attention at different psychological stages.10. RSS Feed ManagementExecution: Balance your public RSS feed with private, gated feeds (via platforms like Hello Audio or Supercast) for bonus or premium content.So What? Private feeds enable direct community monetization and foster loyalty by delivering exclusive, "trust-based" content to high-value subscribers.PART 3: DISTRIBUTION & AMPLIFICATION11. Email & Affiliate LeverageExecution: Use automated tools to turn podcast transcripts into newsletter content that drives traffic to affiliate offers or key resources.So What? This captures high-intent listeners where they live (their inbox), converting passive listening into measurable action.12. Social Media DistributionExecution: Systematically cross-post short, thematic audio clips (with captions and video) to platforms like LinkedIn and Instagram.So What? It transforms one hour of recording into weeks of "top-of-funnel" awareness, building connection volume and attracting new audiences.13. Backlink GenerationExecution: Understand that every major hosting platform (Spotify, Apple) creates a backlink to your website from your show profile.So What? This generates vital "link juice" from high-authority domains, strengthening your primary website's search engine ranking.14. Website Integration & AnalyticsExecution: Host a dedicated podcast page on your site and connect it to Google Search Console.So What? This allows you to track how people find and interact with your podcast via search, providing data to refine your topic and keyword strategy.15. Sonic Branding (Musical Intelligence)Execution: Deploy a distinct instrumental theme for each season or series.So What? A fresh sonic identity signals a new "era" or focus for your show, boosting production value and maintaining listener retention through auditory novelty.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Resources Mentioned:Eligibility Billing Verification Checklist: https://natrevmd.com/eligibility-billing-verification/Margin Playbook: https://natrevmd.com/margin-playbook/In Part 1, we covered the new 2026 RPM codes. Now, it's time to put them into practice. In this episode, we give you the practical, operational playbook for implementing a successful RPM program.Our new podcast episode is a deep dive into RPM implementation. We cover:How a primary care practice added $72K in new revenue with RPMHow an OB/GYN clinic is using the new short-term codesThe 4 key criteria for choosing an RPM vendorA step-by-step documentation guide to stay audit-proofThis is the practical, how-to guide you need to turn the 2026 RPM opportunity into a reality.
Jenny Bristow and Vice President of Data & Technology Mark Brandes of Hedy & Hopp discuss their proprietary solution, Epic UTM Connect*, developed to help healthcare marketers bridge the long-standing data gap between digital marketing campaigns and patient acquisition and revenue within their Electronic Health Record (EHR) system. They explain the challenges of achieving true marketing ROI in a privacy-forward world and detail how this one-time project allows for patient-level attribution and improved performance measurement.Episode notes:The Data Disconnect: Hedy & Hopp created Epic UTM Connect to help healthcare marketers overcome the persistent struggle to access and show true business impact data (patient appointments, revenue) versus engagement metrics marketers can break down by UTM parameters.What Epic UTM Connect Is: A tool that captures UTM parameters from digital campaigns, packages them, and securely inserts them into the Epic patient record.Achieving True ROI: The ability to track a patient's journey from a marketing touchpoint all the way through appointment and fulfillment to calculate the return on investment (ROI).Easy & Fast Implementation: The tool is fast and lightweight to implement and doesn't require Hedy & Hopp to gain analyst access to Epic. Implementation only requires access to website analytics and the CMS.Technology & Compliance: The solution is HIPAA compliant and secure, leveraging the healthcare organization's existing Business Associate Agreement (BAA) with Epic. It works with any web analytics platform (Google Analytics, Adobe Analytics, Site Improve, etc.) by pulling data directly from the website.Use Case Requirements: The solution's effectiveness is dependent on the organization having a consistent and well-defined UTM parameter strategy in place.Attribution Limitations: The tool primarily provides last-touch attribution, meaning it will not capture the source of every conversion and will show gaps in the full multi-touch patient journey.Standalone Value: Epic UTM Connect is a standalone, one-time implementation that is valuable for improving visibility and does not require healthcare marketing teams to use other Epic marketing tools.Learn more about Hedy & Hopp's Epic capabilities: https://hedyandhopp.com/our-expertise/epic-for-healthcare-marketing/ Contact Hedy & Hopp to chat with us about how Epic UTM Connect can support your marketing efforts: https://hedyandhopp.com/connect-with-us/ Connect with Jenny:Email: jenny@hedyandhopp.comLinkedIn: https://www.linkedin.com/in/jennybristow/Connect with Mark:Email: mark.brandes@hedyandhopp.com LinkedIn: https://www.linkedin.com/in/markbrandes/ If you enjoyed this episode, we'd love to hear your feedback! Please consider leaving us a review on your preferred listening platform and sharing it with others.*Epic®, Epic Systems, and related product names and logos are trademarks or registered trademarks of Epic Systems Corporation. This content is not affiliated with, sponsored by, or endorsed by Epic Systems Corporation.
In this episode of The Abundance Mindset, Vinney Chopra and Gualter Amarelo break down a simple truth most investors and business owners overlook: when marketing slows down, everything else follows. This episode dives deep into what actually works when it comes to marketing and leasing in real estate and business:
Are you collecting financial knowledge... or actually using it? In this episode of Without The Bank, we break down two of the most dangerous (and overlooked) chapters from Becoming Your Own Banker: Arrival Syndrome and Use It or Lose It. These ideas explain why so many people stall out financially—even after reading the right books, watching the right videos, and "knowing" the Infinite Banking Concept. The problem isn't lack of information. The problem is believing you've already arrived. When people stop applying what they learn, their policies stagnate, their cash flow tightens, and Infinite Banking quietly turns into "just another savings account." Nelson Nash warned us about this—and in this episode, we show exactly how it plays out in real life. In This Episode, You'll Learn: Why arrival syndrome is more dangerous than ignorance How "knowing enough" kills financial momentum Why Infinite Banking must become a way of life, not a tactic What "use it or lose it" really means for your policy and your mindset Why focusing on interest rates misses the point entirely Why liquidity and cash flow matter more than returns The silent mistake people make when they stop using their policy Episode Chapters: 00:00 – Knowledge vs. Implementation 01:05 – What Is Arrival Syndrome? 03:10 – The Illusion of Knowledge 05:20 – Use It or Lose It Explained 08:45 – Outgrowing Comfort Zones 11:30 – Common Infinite Banking Mistakes 14:00 – Why IBC Must Be a Way of Life Resources Mentioned: Becoming Your Own Banker by Nelson Nash Get the book: https://www.withoutthebank.com/shop... Already have the book? Use the link provided after purchase to schedule an appointment and get your questions answered. If this episode made you rethink how you're using Infinite Banking, share it with someone who's still "learning" but not applying. Apply what you know—or lose it.
The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews: New Tech Laws of 2026, Q&A (Darian Chwialkowski, Third Stage Consulting) Legal Shifts and Regulatory Pressures in the ERP Space (Marcus Harris, Taft Law) Digital Transformation Mistakes that CFO's Often Make We also cover a number of other relevant topics related to digital and business transformation throughout the show.
Republicans on Capitol Hill are keenly watching how other countries implement a long-sought OECD agreement that exempts US companies from parts of the global minimum tax framework. Rep. Ron Estes (R-Kan.), a member of the tax-writing House Ways and Means Committee, hasn't ruled out resurrecting legislation imposing retaliatory taxes on firms from nations that slow-walk codifying the deal. The deal was reached earlier this month after the Trump administration demanded a carve-out for American companies and for the US tax system to work alongside the global minimum tax framework without interference. Estes sat down with Bloomberg Tax Congress reporter Zach C. Cohen in his Capitol Hill office to talk about the importance of the agreement to American businesses and how he will "trust, but verify" other countries' tax code changes, especially if they pursue the same kind of exemption Washington just secured. Do you have feedback on this episode of Talking Tax? Give us a call and leave a voicemail at 703-341-3690.
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss analyzing survey data using generative artificial intelligence tools. You will discover how to use new AI functions embedded in spreadsheets to code hundreds of open-ended survey responses instantly. You’ll learn the exact prompts needed to perform complex topic clustering and sentiment analysis without writing any custom software. You will understand why establishing a calibrated, known good dataset is essential before trusting any automated qualitative data analysis. You’ll find out the overwhelming trend in digital marketing content that will shape future strategies for growing your business. Watch now to revolutionize how you transform raw feedback into powerful strategy! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-processing-survey-data-with-generative-ai.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, let’s talk about surveys and processing survey data. Now, this is something that we’ve talked about. Gosh, I think since the founding of the company, we’ve been doing surveys of some kind. And Katie, you and I have been running surveys of some form since we started working together 11 years ago because something that the old PR agency used to do a ton of—not necessarily well, but they used to do it well. Katie Robbert: When they asked us to participate, it would go well. Christopher S. Penn: Yes, exactly. Christopher S. Penn: And this week we’re talking about how do you approach survey analysis in the age of generative AI where it is everywhere now. And so this morning you discovered something completely new and different. Katie Robbert: Well, I mean, I discovered it via you, so credit where credit is due. But for those who don’t know, we have been a little delinquent in getting it out. But we typically run a one-question survey every quarter that just, it helps us get a good understanding of where our audience is, where people’s heads are at. Because the worst thing you can possibly do as business owners, as marketers, as professionals, is make assumptions about what people want. And that’s something that Chris and I work very hard to make sure we’re not doing. And so one of the best ways to do that is just to ask people. We’re a small company, so we don’t have the resources unfortunately to hold a lot of one-on-one meetings. But what we can do is ask questions virtually. And that’s what we did. So we put out a one-question survey. And in the survey, the question was around if you could pick a topic to deep dive on in 2026 to learn about, what would it be. Now keep in mind, I didn’t say about AI or about marketing because that’s where—and Chris was sort of alluding to—surveys go wrong. When we worked at the old shop, the problem was that people would present us with, “and this is the headline that my client wants to promote.” So how do we run a survey around it? Without going too far in the weeds, that’s called bias, and that’s bad. Bias equals bad. You don’t want to lead with what you want people to respond with. All of that being said, we’ve gotten almost 400 responses over the weekend, which is a fantastic number of responses. That gives us a lot of data to work with. But now we have to do something with it. What Chris discovered and then shared with me, which I’m very excited about, is you don’t have to code anything to do this. There were and there still are a lot of data analysis platforms for market research data, which is essentially what this is for: unstructured, qualitative, sentence structured data, which is really hard to work with if you don’t know what you’re looking for. And the more you have of it, the harder it is to figure out where the trends are. But now people are probably thinking, “oh, I just bring it into generative AI and say, summarize this for me.” Well, that’s not good enough. First of all, let’s just don’t do that. But there are ways to do it, no code, that you can really work with the data. So without further ado, Chris, do you want to talk about what you’ve been working on this morning? And we’re going to do a deep dive on our livestream on Thursday, which you can join us every Thursday at 1:00 PM Eastern. Go to Trust Insights AI TI podcast. Nope, that’s us today. Wait a second. TrustInsights AI YouTube, and you can follow live or catch the replay. And we’ll do a deep dive into how this works, both low code and high tech. But I think it’s worth at least acknowledging, Chris, what you have discovered this morning, and then we can sort of talk about some of the findings that we’re getting. Christopher S. Penn: So one of the most useful things that AI companies have done in the last 6 months is put generative AI into the tools that we already use. So Google has done this. They’ve put Gemini in Google Sheets, Google Docs, in your Gmail. Finally, by the way—slight tangent. They finally put it in Google Analytics. Three years later. Microsoft has put Copilot into all these different places as well. In Excel, in Word, in PowerPoint, and so on and so forth. And so what you can do inside of these tools is they now have formulas that essentially invoke an AI agent. So inside of Google Sheets you can type equals Gemini, then give it a prompt and then give it a cell to work on and have it do its thing. Christopher S. Penn: So what I did naturally was to say, “Okay, let’s write a prompt to do topic analysis.” “Okay, here’s 7 different topics you can choose from.” Gemini, tell me for this cell, this one survey response, which of the 7 topics does it fit in? And then it returns just the topic name and puts it in that cell. And so what used to be a very laborious hand coding—”okay, this is about this”—now you can just drag and fill the column and you’ve got all 400 responses classified. You can do sentiment analysis, you can do all sorts of stuff. Katie Robbert: I remember a quick anecdote, and I think I’ve told this story before. When I was doing clinical trial research, we were trying to develop an automated system to categorize sentiment for online posts about the use and abuse of opiates and stimulants. So, is it a positive sentiment? Is it a negative sentiment? With the goal of trying to understand the trends of, “oh, this is a pharmaceutical that just hit the market. People love it. The sentiment is super positive in the wrong places.” Therefore, it’s something that we should keep an eye on. All to say, I remember sitting there with stacks and stacks of printed out online conversation hand coding. One positive, two negative. And it’s completely subjective because we had to have 4 or 5 different hand coders doing the sentiment analysis over and over again until we came to agreement, and then we could start to build the computer program. So to see that you did this all in the span of maybe 20 minutes this morning is just—it’s mind blowing to me. Christopher S. Penn: Yeah. And the best part is you just have to be able to write good prompts. Katie Robbert: Well, therein lies the caveat. And I think that this is worth repeating. Critical thinking is something that AI is not going to do for you. You still have to think about what it is you want. Giving a spreadsheet to AI and saying, “summarize this,” you’re going to get crappy results. Christopher S. Penn: Exactly. So, and we’ll show this on the live stream. We’re going to walk through the steps on how do you build this? Very simple, no tech way of doing it, but at the very least, one of the things you’ll want to do. And we’ve done this. In fact, we did this not too long ago for an enterprise client building a sentiment analysis system: you have to have a known, good starting data set of stuff that has been coded that you agree with. And it can be 3 or 4 or 5 things, but ideally you start with that. So you can say, this is examples of what good and bad sentiment is, or positive and negative, or what the topic is. Write a prompt to essentially get these same results. It’s what the tech folks would call back testing, just calibration, saying, “This is a note, it still says, ‘I hate Justin Zeitzac, man, all this and stuff.’ Okay, that’s a minus 5.” What do they hate us as a company? Oh, okay. “That annoying Korean guy,” minus 5. So you’d want to do that stuff too. So that’s the mechanics of getting into this. Now, one of the things that I think we wanted to chat about was kind of at a very high level, what we saw. Katie Robbert: Yeah. Christopher S. Penn: So when we put all the big stuff into the big version of Gemini to try and get a sense of what are the big topics, really, 6 different topics popped out: Generative AI, broadly, of course; people wanting to learn about agentic AI; content marketing; attribution and analytics; use cases in general; and best practices in general. Although, of course, a lot of those had overlap with the AI portion. And when we look at the numbers, the number one topic by a very large margin is agentic AI. People want to know, what do we do with this thing, these things? How do we get them going? What is it even? And one of the things I think is worth pointing out is having Gemini in your spreadsheet, by definition, is kind of an agent in the sense that you don’t have to go back to an AI system and say, “I’ll do this.” Then copy-paste results back and forth. It’s right there as a utility. Katie Robbert: And I think that I’m not surprised by the results that we’re seeing. I assumed that there would be a lot of questions around agentic AI, generative AI in general. What I am happy to see is that it’s not all AI, that there is still a place for non-AI. So, one of the questions was what to measure and why, which to be fair, is very broad. But you can make assumptions that since they’re asking us, it’s around digital marketing or business operations. I think that there’s one of the things that we try to ask in our free Slack group, Analytics for Marketers, which you can join for free at trustinsights.ai/analyticsformarketers. We chatting in there every day is to make sure that we have a good blend of AI-related questions, but also non-AI-related questions because there is still a lot of work being done without AI, or AI is part of the platform, but it’s not the reason you’re doing it. We know that most of these tools at this day and age include AI, but people still need to know the fundamentals of how do I build KPIs, what do I need to measure, how do I manage my team, how do I put together a content calendar based on what people want. You can use AI as a supporting role, but it’s not AI forward. Christopher S. Penn: And I think the breakout, it’s about, if you just do back of the envelope, it’s about 70/30. 70% of the responses we got really were about AI in some fashion, either regular or agentic. And the 30% was in the other category. And that kind of fits nicely to the two themes that we’ve had. Last year’s theme was rooted, and this year’s theme is growth. So the rooted is that 30% of how do we just get basic stuff done? And the 70% is the growth. To say, this is where things are and are likely going. How do we grow to meet those challenges? That’s what our audience is asking of us. That’s what you folks listening are saying is, we recognize this is the growth opportunity. How do we take advantage of it? Katie Robbert: And so if we just look at all of these questions, it feels daunting to me, anyway. I don’t know about you, Chris—you don’t really get phased by much—but I feel a little overwhelmed: “Wow, do you really know the answers to all of these questions?” And the answer is yes, which is also a little overwhelming. Oh wait, when did that happen? But yeah, if you’re going to take the time to ask people what they’re thinking, you then have to take the time to respond and acknowledge what they’ve asked. And so our—basically our mandate—is to now do something with all of this information, which we’re going to figure out. It’s going to be a combination of a few things. But Chris, if you had your druthers, which you don’t, but if you did. Where would you start with answering some of these questions? Christopher S. Penn: What if I had my druthers? I would put. Take the entire data set one piece at a time and take the conclusion, the analysis that we’ve done, and put it into Claude Code with 4 different agents, which is actually something I did with my own newsletter this past weekend. I’d have a revenue agent saying, “How can we make some money?” I’d have a voice of the customer agent based on our ICP saying, “Hey, you gotta listen to the customer. This is what we’re saying. This is literally what we said. You gotta listen to us.” “Hey, your revenue agent, you can’t monetize everything. I’m not gonna pay for everything.” You would have a finance and operations agent to say, “Hey, let’s. What can we do?” “Here’s the limitations.” “We’re only this many people. We only have this much time in the day. We can’t do everything.” “We gotta pick the things that make sense.” And then I would have the Co-CEO agent (by virtual Katie) as the overseer and the orchestrator to say, “Okay, Revenue Agent, Customer Agent, Operations Agent, you guys tell me, and I’m going to make some executive decisions as to what makes the most sense for the company based on the imperatives.” I would essentially let them duke it out for about 20 minutes in Claude Code, sort of arguing with each other, and eventually come back with a strategy, tactics, execution, and measurement plan—which are the 4 pieces that the Co-CEO agent would generate—to say, “Okay, out of these hundreds of survey responses, we know agentic AI is the thing.” “We know these are the kinds of questions people are asking.” “We know what capabilities we have, we know limitations we have.” “Here’s the plan,” or perhaps, because it’s programmed after you, “Here’s 3 plans: the lowest possible, highest possible, middle ground.” And then we as the humans can look at it and go, “All right, let’s take some of what’s in this plan and most of what’s in this plan, merge that together, and now we have our plan for this content.” Because I did that this weekend with my newsletter, and all 4 of the agents were like, “Dude, you are completely missing all the opportunities. You could be making this a million-dollar business, and you are just ignoring it completely.” Yeah, Co-CEO was really harsh. She was like, “Dude, you are missing the boat here.” Katie Robbert: I need to get my avatar for the Co-CEO with my one eyebrow. Thanks, Dad. That’s a genetic thing. I mean, that’s what I do. Well, so first of all, I read your newsletter, and I thought that was a very interesting thing, which I’m very interested to see. I would like you to take this data and follow that same process. I’m guessing maybe you already have or are in the process of it in the background. But I think that when we talk about low tech and high tech, I think that this is really sort of what we’re after. So the lower tech version—for those who don’t want to build code, for those who don’t want to have to open up Python or even learn what it is—you can get really far without having to do that. And again, we’ll show you exactly the steps on the live stream on Thursday at 1:00 PM Eastern to do that. But then you actually have to do something with it, and that’s building a plan. And Chris, to your point, you’ve created synthetic versions of basically my brain and your brain and John’s brain and said, “Let’s put a plan together.” Or if you don’t have access to do that, believe it or not, humans still exist. And you can just say, “Hey Katie, we have all this stuff. People want to get answers to these questions based on what we know about our growth plans and the business models and all of those things. Where should we start?” And then we would have a real conversation about it and put together a plan. Because there’s so much data on me, so much data on you and John, etc., I feel confident—because I’ve helped build the Co-CEO—I feel confident that whatever we get back is going to be pretty close to what we as the humans would say. But we still want that human intervention. We would never just go, “Okay, that’s the plan, execute it.” We would still go, “Well, what the machines don’t know is what’s happening in parallel over here.” “So it’s missing that context.” “So let’s factor that in.” And so I’m really excited about all of it. I think that this is such a good use of the technology because it’s not replacing the human critical thinking—it’s just pattern matching for us so that we can do the critical thinking. Christopher S. Penn: Exactly. And the key really is for that advanced use case of using multiple agents for that scenario, the agents themselves really do have to be rock solid. So you built the ideal customer profile for the almost all the time in the newsletter. You built… Yeah, the Co-CEO. We’ve enhanced it over time, but it is rooted in who you are. So when it makes those recommendations and says those things, there was one point where it was saying, “Stop with heroics. Just develop a system and follow the system.” Huh, that sounds an awful lot. Katie Robbert: I mean, yeah, I can totally see. I can picture a few instances where that phrase would actually come out of my mouth. Christopher S. Penn: Yep, exactly. Christopher S. Penn: So that’s what we would probably do with this is take that data, put it through the smartest models we have access to with good prompts, with good data. And then, as you said, build some plans and start doing the thing. Because if you don’t do it, then you just made decorations for your office, which is not good. Katie Robbert: I think all too often that’s what a lot of companies find themselves in that position because analyzing qualitative data is not easy. There’s a reason: it’s a whole profession, it’s a whole skill set. You can’t just collect a bunch of feedback and go, “Okay, so we know what.” You need to actually figure out a process for pulling out the real insights. It’s voice of customer data. It’s literally, you’re asking your customers, “What do you want?” But then you need to do it. The number one mistake that companies make by collecting voice of customer data is not doing anything with it. Number 2 is then not going back to the customer and acknowledging it and saying, “We heard you.” “Here’s now what we’re going to do.” Because people take the time to respond to these things, and I would say 99% of the responses are thoughtful and useful and valuable. You’re always going to get a couple of trolls, and that’s normal. But then you want to actually get back to people, “I heard you.” Your voice is valuable because you’re building that trust, which is something machines can’t do. You’re building that human trust in those relationships so that when you go back to that person who gave you that feedback and said, “I heard you, I’m doing something with it.” “Here’s an acknowledgment.” “Here’s the answer.” “Here’s whatever it is.” Guess what? Think about your customer buyer’s journey. You’re building those loyalists and then eventually those evangelists. I’m sort of going on a tangent. I’m very tangential today. A lot of companies stop at the transactional purchase, but you need to continue. If you want that cycle to keep going and have people come back or to advocate on your behalf, you need to actually give them a reason to do that. And this is a great opportunity to build those loyalists and those evangelists of your brand, of your services, of your company, of whatever it is you’re doing by just showing up and acknowledging, “Hey, I heard you, I see you.” “Thank you for the feedback.” “We’re going to do something with it.” “Hey, here’s a little token of appreciation,” or “Here’s answer to your question.” It doesn’t take a lot. Our good friend Brook Sellis talks about this when she’s talking about the number one mistake brands make in online social conversations is not responding to comments. Yeah, doesn’t take a lot. Christopher S. Penn: Yeah. Doesn’t cost anything either. Katie Robbert: No. I am very tangential today. That’s all right. I’m trying not to lose the plot. Christopher S. Penn: Well, the plot is: We’ve got the survey data. We now need to do something about it. And the people have spoken, to the extent that you can make that claim, that Agentic AI and AI agents is the thing that they want to learn the most about. And if you have some thoughts about this, if you agree or disagree and you want to let us know, pop on by our free Slack, come on over to Trust Insights AI/analytics for marketers. I think we’re probably gonna have some questions about the specifics of agentic AI—what kinds of agents? I think it’s worth pointing out that, and we’ve covered this in the past on the podcast, there are multiple different kinds of AI agents. There’s everything from what are essentially GPTs, because Microsoft Copilot calls Copilot GPTs Copilot agents, which is annoying. There are chatbots and virtual customer service agents. And then there’s the agentic AI of, “this machine is just going to go off and do this thing without you.” Do you want it to do that? And so we’ll want to probably dig into the survey responses more and figure out which of those broad categories of agents do people want the most of, and then from there start making stuff. So you’ll see things in our, probably, our learning management system. You’ll definitely see things at the events that folks bring us in to speak at. And yeah, and hopefully there’ll be some things that as we build, we’ll be like, “Oh, we should probably do this ourselves.” Katie Robbert: But it’s why we ask. It’s too easy to get stuck in your own bubble and not look outside of what you’re doing. If you are making decisions on behalf of your customers of what you think they want, you’re doing it wrong. Do something else. Christopher S. Penn: Yeah, exactly. So pop on by to our free Slack. Go to TrustInsights.ai/analyticsformarketers, where you and over 4,500 other folks are asking and answering those questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on, check out TrustInsights.ai/tipodcast. You can find us in all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insight services span the gamut from developing comprehensive data strategies and conducting deep dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology and MarTech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the *In Ear Insights* podcast, the *Inbox Insights* newsletter, the *So What* Livestream, webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations, data storytelling. This commitment to clarity and accessibility extends to Trust Insights’ educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.
THE Leadership Japan Series by Dale Carnegie Training Tokyo, Japan
Doing more, faster, better with less has become the permanent setting in modern business. Post-pandemic, with tighter budgets, higher customer expectations, and AI speeding up competitors, leaders can't rely on "the boss with the whiteboard marker" to magically produce genius ideas on demand. You need a repeatable innovation system that draws out creativity from the whole organisation—especially the people closest to customers. Below is a practical nine-step innovation process leaders can run again and again, so innovation becomes a habit—not a lucky accident. How do leaders define "success" before trying to innovate? Innovation gets messy fast unless everyone is crystal clear on what "good" looks like. Step One is Visualisation: define the goal, the "should be" case, and what success looks like in concrete terms—customer outcomes, cost, quality, time, risk, or growth. In practice, this is where executives at firms like Toyota or Unilever would translate strategy into a shared target: "Reduce onboarding time from 14 days to 3," or "Increase repeat purchase by 10% in APAC by Q4." Compare that with many SMEs where the goal is vague ("be more innovative") and the team sprints hard in random directions. Do now (mini-summary): Write a one-sentence "should be" target and 3 measurable success indicators (KPI, timeline, customer impact). Align the team before you chase ideas. What's the fastest way to gather the right facts without killing creativity? Great ideas come from great inputs, and Step Two is Fact Finding—collect data before opinions. Leaders should separate "facts" from "feelings" by digging into who/what/when/where/why/how. This is where many organisations discover their measurement systems are weak—or worse, wrong. In the US, you might lean on product analytics, A/B testing, and voice-of-customer tools. In Japan, you'll often combine frontline observation (genba thinking) with structured reporting—useful, but sometimes filtered by hierarchy. Either way, don't judge yet. Just get the evidence: customer complaints, churn reasons, sales cycle delays, defect rates, staff turnover, and time wasted in approvals. Do now (mini-summary): Collect 10 hard facts (numbers, patterns, examples) and 10 "customer voice" quotes. No solutions yet—just reality. How do you frame the real problem so you don't solve the wrong thing? The way you state the problem determines the quality of the ideas you'll get. Step Three is Problem (or Opportunity) Finding: clarify what's actually holding you back, where resources leak, and what success constraints exist. This is harder than it sounds. Ask five people the main problem and you'll get eight opinions—especially in matrixed multinationals or fast-moving startups. Use smart problem framing techniques: "How might we…?", "What's the bottleneck?", "If we fixed one thing this quarter, what would move the needle?" Compare Japan vs the US here: US teams may jump to action quickly; Japan teams may seek consensus early. Both can miss the root cause if the framing is sloppy. Do now (mini-summary): Rewrite your problem three ways: customer-impact, process-bottleneck, and cost-leakage. Pick the clearest, most actionable version. How do you run ideation so the loud people don't crush the good ideas? Step Four is Idea Finding, and the golden rule is: no judgement, chase volume, and do it in silence. This is where most leaders accidentally sabotage innovation—someone blurts an idea, the "bolshie" confident voices start critiquing, and the timid thinkers shut down. Silent idea generation (think brainwriting rather than brainstorming) helps deeper thinkers contribute and reduces status bias—critical in hierarchical cultures and in teams where junior staff defer to seniority. If you want better ideas, ask the people closest to the coal face: new hires, customer support, frontline sales, and the group that best matches your buyers' profile. Often they see problems the C-suite never touches. Do now (mini-summary): Run 10 minutes of silent brainwriting: each person writes 10 ideas. No talking. Then collect and cluster ideas by theme. How do leaders choose the best ideas without politics or "rank wins"? Step Five is Solution Finding—now you're allowed to judge, but you must judge fairly. The risk here is predictable: seniority dominates, juniors defer, and the "easy consensus" becomes a polite rubber stamp. Use a structured selection method: score ideas against agreed criteria (impact, effort, speed, risk, customer value). Borrow from frameworks like Stage-Gate, Lean Startup (testable hypotheses), and even RICE scoring (Reach, Impact, Confidence, Effort). Compare sectors: in B2B, feasibility and implementation risk often weigh more; in consumer markets, speed and customer delight can dominate. The point is to remove the "who said it" factor. Do now (mini-summary): Build a simple 4-criteria scorecard and rank the top 10 ideas. Make scoring anonymous if hierarchy is distorting decisions. How do you get buy-in and actually execute innovation in the real world? Ideas don't win—execution wins, and Steps Six to Nine turn creativity into results. Step Six is Acceptance Finding: sell the idea internally for time, money, and people. Step Seven is Implementation: define who does what by when, with budget and resources. Step Eight is Follow Up: check progress early so you don't discover the team is zigging when you needed zagging. Step Nine is Evaluation: did it work, was it worth it, and what did we learn? In 2025-era organisations, this is also where AI can help: drafting business cases, mapping risks, creating implementation plans, and summarising learnings—without replacing leadership accountability. Startups might run faster experiments; conglomerates might need governance and change management. Either way, the process keeps you moving. Do now (mini-summary): Assign an owner, set a 30-day milestone, and define the success metric. Review weekly. Capture learnings as you go. Final wrap-up A surprising number of companies still have no shared system for generating ideas—so innovation depends on mood, meetings, or the loudest voice in the room. A repeatable nine-step process creates better ideation, stronger decision-making, and cleaner execution. Run it consistently, and innovation becomes part of your organisational DNA—not a once-a-year workshop. Quick next steps for leaders Pick one business pain point and run Steps 1–4 in a 60-minute session this week. Use silent idea generation to protect the deeper thinkers. Score ideas with a simple rubric to avoid politics. Pilot one idea in 30 days, then evaluate and repeat. FAQs Is brainstorming or brainwriting better for innovation? Brainwriting usually beats brainstorming because it reduces groupthink and status bias. Silent idea generation produces more ideas and more diverse ideas in most teams. How long does the nine-step innovation process take? You can run Steps 1–5 in a half-day and Steps 6–9 over 30–90 days. The timeline depends on complexity, risk, and resources. What if leadership won't support the idea? Treat Step Six like a sales process—build a business case and show trade-offs. If you can't win resources, scale the idea down into a testable pilot. Author credentials Dr. Greg Story, Ph.D. in Japanese Decision-Making, is President of Dale Carnegie Tokyo Training and Adjunct Professor at Griffith University. He is a two-time winner of the Dale Carnegie "One Carnegie Award" (2018, 2021) and recipient of the Griffith University Business School Outstanding Alumnus Award (2012). As a Dale Carnegie Master Trainer, Greg is certified to deliver globally across all leadership, communication, sales, and presentation programs, including Leadership Training for Results. He has written several books, including three best-sellers — Japan Business Mastery, Japan Sales Mastery, and Japan Presentations Mastery — along with Japan Leadership Mastery and How to Stop Wasting Money on Training. His works have been translated into Japanese, including Za Eigyō (ザ営業), Purezen no Tatsujin (プレゼンの達人), Torēningu de Okane o Muda ni Suru no wa Yamemashō (トレーニングでお金を無駄にするのはやめましょう), and Gendaiban "Hito o Ugokasu" Rīdā (現代版「人を動かす」リーダー). Greg also publishes daily business insights on LinkedIn, Facebook, and Twitter, and hosts six weekly podcasts. On YouTube, he produces The Cutting Edge Japan Business Show, Japan Business Mastery, and Japan's Top Business Interviews, which are widely followed by executives seeking success strategies in Japan.
"The value you get out of Zucca and all the things it can do is far cheaper than what it would take to hire another person or hire an external consultant to do that work." —Karen Huh Building a CPG product should not feel like juggling spreadsheets at midnight. Teams lose time, money, and clarity when formulas, costs, and decisions are scattered across multiple locations. This conversation confronts that reality head-on and addresses why speed and focus are crucial in the food, beverage, and supplement industries right now. Karen Huh shares how two decades in CPG at companies shaped her view of broken product development workflows. That experience led her to build Zucca, an AI-powered operating system designed to unify how CPG teams ideate, formulate, cost, and scale products. Listen to hear how modern CPG teams are using AI to work smarter and move faster. Building an AI-powered operating system for CPG product development Why product launches break down as brands grow How AI supports formulation, costing, and iteration Reducing time to scale-ready formulas Collaboration and single source of truth for CPG teams Using AI as a teammate, not a replacement What founders misunderstand about AI and speed The future of AI in food and beverage innovation Meet Karen: Karen Huh is the co-founder and CEO of Zucca, an innovative operating system for product development in the consumer packaged goods (CPG) industry, powered by AI. With over 20 years of experience, Karen has held leadership roles at Starbucks and numerous venture-backed brands, building a strong track record in product innovation and business development. Drawing on her in-depth knowledge of CPG workflows, she is dedicated to streamlining and unifying product development processes through advanced technology. Karen leads a diverse, expert-driven team at Zucca, helping brands of all sizes create, manage, and scale products more efficiently. Website LinkedIn Connect with NextGen Purpose: Website Facebook Instagram LinkedIn YouTube Episode Highlights: 02:12 What Inspired Zucca 05:32 Early Exposure to AI 11:24 Challenges and Surprises in AI Development 16:30 Zucca's Unique Features and Benefits 19:02 User Experience and Implementation 24:59 Impact on CPG Companies 28:12 Customer Success Stories 30:47 Accessibility and Pricing
In this episode, I introduce my Skills Before Tools: K–12 AI Implementation Guide and what we can learn from past EdTech rollouts that missed the mark. Too often, schools rush to adopt new tools without first building the skills students and teachers need to use them well, and AI raises the stakes even higher. I walk through the five through-line skills that anchor the guide, skills that matter in every grade level and content area, with or without AI. We also explore how this approach helps schools avoid reactive decision-making and instead design a thoughtful, developmentally appropriate progression for AI use. If you're a school or district leader trying to make sense of AI without chasing the next shiny tool, this conversation will give you a grounded place to start. Click here to check out SchoolAI! Click here to download your copy of the guide.
It started with a simple idea from James Tyack: “What if we hosted a hackathon at ELC Annual?” The result was a unique experiment where 14 senior engineering leaders stepped away from strategy to build and ship functioning apps in one weekend, unlocking new insights on AI-native workflows, "vibe coding," and the future of engineering. In this episode, we deconstruct the entire hackathon operational playbook, sharing lessons on everything from “best failure awards” and async collaboration structures to structuring ideation periods for maximum business alignment. Beyond the logistics, we explore how getting hands-on helped these leaders overcome imposter syndrome and why "rolling up your sleeves" is now a prerequisite for leading effective engineering teams. Plus, James shares how he plans to evolve the hackathon format at ELC and beyond. If you've been curious about leveraging hackathons to drive innovation, expose your team to new tools, or evolve how your org builds, this episode provides the blueprint for successful implementation. ABOUT JAMES TYACKJames is an engineering manager with a passion for people, technology, and learning. He's built and led distributed, diverse teams of engineers across locations and timezones for 10 years. James believes strongly in the value of diversity and championing a sense of belonging for everyone, from day 1. He's well versed in growth strategy, chaos engineering, major incident response, and blameless practice, and culture grounded by trust and psychological safety. He leads the Growth Acquisition team at Coursera where he's proud to be part of an organization that's transforming lives through learning. Previously, James enjoyed building and leading the Growth and Integrations engineering teams at PagerDuty. This episode is brought to you by Span!Span is the AI-native developer intelligence platform bringing clarity to engineering organizations with a holistic, human-centered approach to developer productivity.If you want a complete picture of your engineering impact and health, drive high performance, and make smarter business decisions…Go to Span.app to learn more! SHOW NOTES:The results of ELC's first-ever hackathon: 14 leaders shipping fully functional apps (2:21)The “Scrappy” beginning: Extending the invitation and early community engagement (4:50)The most surprising insights: Problem solving for “life outside of work” and micromanaging AI agents (5:42)Navigating the shifting boundaries between product, engineering, and management roles (8:43)James' personal journey: Building 5 apps in 5 hours to stay relevant and relatable (10:05)Deconstructing the Hackathon structure: The “Take-Home Assignment” approach (16:16)The Hall of Fame: Creating artifacts to recognize contribution (18:00)Iterating on the format: Pivots made for the next hackathon iteration at Coursera (18:47)The importance of a 2-week ideation period for alignment (20:59)A recap of the playbook: Seeding ideas, easy tooling, and safe deployment (22:15)The future of hackathons: Cross-functional participation beyond engineering (26:46)Rapid Fire Questions (28:15) This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
In this episode, Anders Hansen shares his incredible evolution from performing magic to becoming a respected leader in personal development. He describes how reading The Power of Your Subconscious Mind shifted his understanding of human potential and set him on a path that eventually led to collaborating with Bob Proctor. Anders explains how these insights inspired him to create The Secret to Real Magic, a program that has helped thousands of clients and generated more than twelve million dollars in eight years. He reinforces the importance of aligning goals with deeper fulfillment, and how many people discover that the outcomes they chase are not always the ones they truly want. Business Illusions and the Path to Growth Anders breaks down the idea of illusions in business and how hidden limiting beliefs shape the way leaders think and act. Using the example of a multi dimensional domino brick, he illustrates how the mind fills in patterns based on assumptions rather than truth. He shares the five most common illusions that hold business owners back which include hustle and hype, luck, fear, lack and limitation, and the illusion of knowledge. Anders highlights that real change requires integrating knowledge into behavior and raising personal consciousness. Michael reflects on this idea and highlights how growth often emerges from challenging seasons. The conversation reinforces that goals should be rooted in desire and identity, not just performance metrics. Breaking Limiting Beliefs and Setting Bold Goals Michael and Anders explore how leaders can overcome self imposed limits. Michael shares his own journey of challenging income ceilings he once believed were fixed. They discuss the power of intentional affirmations, identity shaping goals, and learning from multiple motivational sources. The conversation provides practical tools for addressing negative thought cycles and cultivating a mindset that supports expansive possibility. Integrating AI and Human Leadership Anders offers a grounded perspective on the future of AI and leadership. He believes AI should amplify human strengths instead of becoming a substitute for them. Emotional intelligence and inner leadership will remain at the center of all high performance work. Anders also explains why his company shifted from online coaching to live experiential events. He believes that integration and genuine connection are fundamental human needs and essential for sustaining growth. He encourages listeners to begin with a free assessment designed to reveal hidden illusions and offers tools that help shift energy to support aligned goal creation. His message is clear. Information alone does not transform. Implementation does. Leadership Resources and How to Connect To explore Anders Hansen's work further, visit Instagram or Facebook and search for Real Anders Hansen. Comment with the words Breakfast Leadership to receive additional leadership and personal development resources mentioned in the show. Anders Hansen: The Illusionist Who Turns Transformation Into Reality Anders Hansen is more than an internationally recognized illusionist—he's a 7-figure CEO and the creative force behind Real Magic LLC. With over 20 years of stage magic fused seamlessly with world-class personal development, Anders has redefined transformation by making it tangible, entertaining, and life-changing. As a protégé of Bob Proctor, Anders co-created The Secret to Real Magic program, guiding over 10,000 people—including countless entrepreneurs—to break through limitations and unlock extraordinary results. His signature Real Magic LIVE© experience blurs the line between a show and a seminar, turning abstract concepts into unforgettable moments of clarity. To date, this work has generated more than $12M in revenue, proving that transformation can be both magical and measurable. Today, Anders' mission is simple but powerful: to help high achievers create quantum leap breakthroughs so they can live happier, healthier, and wealthier lives.
"Referring patients to audiology early on has shown dramatic reduction in hearing loss or complications because the audiologist can really see where were they at before they started chemotherapy, where were they at during, if they get an audiogram during their treatment. And then after treatment, it's really important for them to see an audiologist because this is really a survivorship journey for them. And as nurses, the 'so what': We are the first line of defense," ONS member Jennessa Rooker, PhD, RN, OCN®, director of nursing excellence at the Tampa General Hospital Cancer Institute in Florida, told Jaime Weimer, MSN, RN, AGCNS-BS, AOCNS®, manager of oncology nursing practice at ONS, during a conversation about ototoxicity in cancer care. Music Credit: "Fireflies and Stardust" by Kevin MacLeod Licensed under Creative Commons by Attribution 3.0 Earn 0.5 contact hours of nursing continuing professional development (NCPD) by listening to the full recording and completing an evaluation at courses.ons.org by January 9, 2027. The planners and faculty for this episode have no relevant financial relationships with ineligible companies to disclose. ONS is accredited as a provider of nursing continuing professional development by the American Nurses Credentialing Center's Commission on Accreditation. Learning outcome: Learners will report an increase in knowledge related to the management of ototoxicity after chemotherapy treatment. Episode Notes Complete this evaluation for free NCPD. ONS Podcast™ Cancer Symptom Management Basics series ONS Voice articles: Oncology Drug Reference Sheet: Cisplatin Oncology Drug Reference Sheet: Carboplatin Oncology Drug Reference Sheet: Oxaliplatin FDA Approves Sodium Thiosulfate for Cisplatin-Associated Ototoxicity in Pediatric Patients ONS book: Clinical Manual for the Oncology Advanced Practice Nurse (fourth edition) American Cancer Society resources: 4 Causes of Hearing Problems for Cancer Survivors Cancer Survivors Network American Speech-Language-Hearing Association (ASHA) Hearing Loss: An Under-Recognized Side Effect of Cancer Treatment Embedded Ear Care: Audiology on the Cancer Treatment Team American Society of Clinical Oncology (ASCO) Annual Meeting abstract: Innovative Infusion Center Assessments of Chemotherapy-Induced Neurotoxicities: A Pilot Study Supporting Early and Routine Screenings as Part of Survivorship Programs Children's Oncology Group supportive care endorsed guideline: Prevention of Cisplatin-Induced Ototoxicity in Children and Adolescents With Cancer: A Clinical Practice Guideline Ear and Hearing article: Roadmap to a Global Template for Implementation of Ototoxicity Management for Cancer Treatment International Ototoxicity Management Group (IOMG) IOMG Wikiversity page Shoebox hearing assessments World Health Organization initiative: Make Listening Safe To discuss the information in this episode with other oncology nurses, visit the ONS Communities. To find resources for creating an ONS Podcast club in your chapter or nursing community, visit the ONS Podcast Library. To provide feedback or otherwise reach ONS about the podcast, email pubONSVoice@ons.org. Highlights From This Episode "At different pitches, the eardrums move faster or slower, signaling the inner ear, or the cochlea—the thing that looks like a snail in the pictures. The cochlea has fluid and hair cells inside of it that receive movements from the eardrum. The hair cells change the movement into electrical signals that actually go to the auditory nerves or the cranial nerve VIII." TS 2:15 "Ototoxicity is an umbrella term for some sort of exposure to a toxin that causes damage to the inner ear. These toxins can be in the environment, such as loud or different noises, or they can be from medications, including antibiotics or commonly cancer treatments, such as radiation chemotherapy. Some common chemotherapies can be platinum-based chemotherapies like cisplatin or carboplatin. And then what patients are experiencing if they have ototoxicity can be hearing loss." TS 3:15 "The hypothesized mechanism of action is that the chemicals like the platinum compound in cisplatin … that platinum compound travels through our bloodstream. Since chemotherapy is systemic, it'll go to the inner ear, and it gets stuck there by binding to the cellular DNA in that cochlea, or that snail-looking image. That initiates the release of the reactive oxygen species, which are really trying to help clean it out, but releases such high levels that it ends up causing damage to those inner ear hairs. These inner ear hairs cannot regenerate themselves, so then they're permanently damaged. And remember we said that those hairs send electrical signals to the brain that recognize sound. So that function is permanently gone once those hair cells are damaged." TS 7:10 "I definitely think this is a huge interdisciplinary collaborative effort. As nurses and advanced providers, we're assessing and providing education. Our medical oncologists are doing those dose modifications and submitting those audiology referrals. The radiation oncologists are very important to know about this—maybe dose localization awareness. Maybe they do some changes with the doses. And then our audiologists and [ear, nose, and throat physicians], they can do that diagnostic confirmation and any rehabilitation measurements and really monitor them throughout their journey as well. And nurse navigators play a huge part in making sure those patients get those referrals, because a lot of the time the audiologists aren't in the cancer clinic, so they may have to go to another location or may need help coordinating with all their appointments that they have." TS 22:28 "We had a really innovative way of monitoring the hearing that a couple other studies have also tested. It's a remote point-of-care hearing screen. It was on [a tablet] with calibrated headphones. And then it's a paid-for subscription to an audiology testing platform. … Myself, along with a couple of other nurses, were trained how to use this testing device with the tablet and the headphones and the software program. And it was a quick down-and-dirty portable hearing assessment for patients. So anyone who was new to cisplatin, never gotten cisplatin treatment before, was enrolled into the study, and they received a hearing test every time that they came for chemo, and we gave it to them during their hydration." TS 28:59
You know what you want. You've got the vision. But something keeps stopping you from actually getting there. It's not lack of motivation. It's not that you aren't smart enough or capable. It's three specific psychological barriers that trip up everyone I work with. Today I'm breaking down what's really holding you back and why understanding these three things will finally get you unstuck. This is about the psychology of why we stay where we are even when we know exactly where we want to go. Featured Story After 19 years of running the same theme song, I changed it seven weeks ago. And now I'm second-guessing myself. I need your help deciding if the new one works or if I should go back to the old. Send me an email at scottatdailyboostpodcast.com or hit me up on Instagram at heyscottsmith. I'll write you back, I promise. And yeah, I see the irony. An episode about clarity, and I can't even decide on my own theme song. But that's exactly the point. Sometimes you need outside perspective to see what's right in front of you. Important Points Without specific clarity on what you want, there's a 99% chance you won't even start moving forward at all. Your current identity keeps you stuck right where you are right now, even when you know what needs to change next. Implementation isn't just action, it's integrating your new mindset into your current life and building momentum. Memorable Quotes "If you don't know what you want with specific clarity, you're going to get something else instead of what you need." "You have to become the person you're going to be in the future, not the one you are today, before you ever get there." "You don't need another book or seminar. You already know enough. What you need to do now is actually implement it." Scott's Three-Step Approach Get specific clarity on exactly what you want, not vague ideas or someday dreams, but real measurable direction forward. Shift your identity to become the person who already has what you want before you actually have it in real life right now. Start implementing by integrating this new mindset into your current life and walking across your bridge to where you want to be. Chapters 0:08 - The trampoline of psychology (and what stops everyone) 1:17 - Why lifestyle business shifts are so damn hard 2:05 - Clarity isn't optional (and why we ignore it anyway) 2:56 - Your identity is keeping you exactly where you are 4:07 - Implementation as integration (not just action) 5:28 - Walking your bridge to where you decided to go Learn more about your ad choices. Visit megaphone.fm/adchoices
Cody Carbone, CEO of The Digital Chamber, joined me to discuss the latest developments on the crypto market structure bill in the Senate—and more.Topics: - Market Structure Bill markup and passing in 2026- Implementation of the Genius Act - Banks lobbing against stablecoin yield and DeFi - Maxine Waters asks for hearing with SEC Chair Paul Atkins over dropped crypto cases - Mike Selig as new CFTC chair - "Anti-CBDC Surveillance State Act" status - Digital Chamber's 2026 Roadmap Brought to you by ✅ VeChain is a versatile enterprise-grade L1 smart contract platform https://www.vechain.org/
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