Podcasts about practical ai

According to research by IBM, just 16% of AI initiatives have achieved scale. Why? Because few organizations have the structure and data to support long-term AI investments. So, how do you build an AI-ready system? Riley Rogers: Welcome to the Win/Win Podcast. I’m your host, Riley Rogers. Join us as we dive into changing trends in the workplace and how to navigate them successfully. Here to discuss this topic is Rich Weymer, Senior Director of Go-To-Market Strategy and Transformation at Yubico. Thank you so much for joining us today, Rich. I’m super excited to have you here to dig into all the expertise that you’re gonna bring to the table. As we’re kicking off, I’d love if you could just tell us a little bit about yourself, your background, and your role. Rich Weymer: Yeah. First off, thanks for having me. A repeat customer with Highspot, so excited to get invited to this, as we’ve worked with your organization for some time now. Like you said, Rich Weymer. I’ve spent time pretty much so in tech for most of my professional career in one form or fashion, from my earlier career days at Microsoft working in consumer goods, where I’ve worked on video games, your Office products, all your devices, through where I’m at today in the security world. RR: Well, amazing, and bravo, tech veteran. Not easy. RW: Yeah. It looks a lot different today than it did when I started, that’s for sure. RR: And I think that is exactly what we’re gonna talk about today. But before we go into where the world of tech has been to where we are today, I’d love if you could give us a little bit of foundational context for folks who might not be familiar with Yubico. Could you give us a little walkthrough of who your company is, what you do, who you serve? RW: Yeah. So Yubico does phishing resistance hardware MFA, which basically means we ship you a little bitty key that helps control access to all your online portals and logins and everything along those lines. RR: As somebody who is password challenged, I certainly see the value of that one. I wish we had a wonderful little bitty key that got me set up for success every single day. One thing that I think you set up early on is that Yubico, and pretty much every other organization in the industry, is moving fast, and it has to. Security in this day and age is harder than ever. And when it comes to working in a fast-moving organization, teams like yours also have to move fast. I’d guess that that pace of change is part of the reason why you have a really forward-looking approach to enablement and to go-to-market strategy. So why do you think it’s important to think critically about how technology can transform traditional workflows, processes that you’re accustomed to, things like that? RW: Again, to your point, things are moving so fast right now. That’s the biggest underlying factor that organizations really need to think through. Decisions that you’re making today are almost obsolete by the time you’re done signing the paperwork on whatever decisions or procurement you’re going through. So you need to be really thoughtful about the foundations that you’re building, the integrations that you’re gonna lean on, and the partners that you’re gonna select that are gonna be around for the long run. Measure twice, cut once, and also understand that there’s different types of decisions that you’re gonna be making. I use the analogy of a hat, a haircut, or a tattoo. What type of decision are you making when you’re thinking about your technologies? If it’s a hat, you can switch it in and out real quick. If it’s a haircut, maybe it takes a little bit of time to unwind. And those tattoos are the ones that you just can’t change. They’re gonna be– They’re– You’re gonna live with them forever. So you really gotta just understand the lens that you’re making the decisions through, as well as having an industry understanding of where things are heading. And as you look at your partners, thinking, “Hey, at the pace at which innovation is happening, is this someone that’s gonna be relevant six months, 12 months, 18 months from now?” RR: I have not heard that decision-making framework before, hat, haircut, tattoo. RW: It’s an easy one, yeah. A lot of organizations think everything’s a tattoo. So you make every decision like it’s the last decision you’re ever gonna make in that space. And it’s right for a lot of things, but framing it goes a long way, especially when you’re trying to move fast. Being able to categorize those decisions pretty quickly goes a long way. RR: Yeah. And it helps you avoid the problem of when everything’s important, nothing is. You mentioned systems, data, processes, having the right tools in place to move quickly. So with that perspective in mind, how are you thinking about layering on AI? RW: I think about it every day and night, in every meeting I’m sitting in, and every conversation I’m having, and every free minute when I’m thinking about work. The big thing is automation and AI for the sake of AI, and automation for the sake of automation, it really doesn’t mean anything unless you have a strong foundation and an understanding of your data. So to me, it all just boils down to a strong foundational data set and understanding what to measure and what moves your business, and then building around that first and foremost before you do anything else. RR: What do you need in that foundation before you can start building AI on top of it in order for those initiatives to be successful? RW: If I were to think through how I structure this, there’s no shortage of ways to measure the business, but landing on one that’s influential and helps you adjust the dials as you go is really important. So the way I operate is through the lens of sales velocity, which is a time-tested mathematical problem to give you a temperature check on how the business is doing. It’ll let you know whether you’re going up, down, left, right, staying center, or whatever it is. But where organizations stop is they stop at the top four measurements, which, if you think of sales velocity, is open opportunities, average deal size, win rate, and then you divide that by your deal cycle length. That gives you a daily throughput, which tells you part of the story because you can help understand your forecasting. When you take your close one business, you can use that to forecast days left in the quarter, what those numbers would look like. But where it gets really powerful, and what I think a lot of organizations haven’t spent the time to do, is go deeper on the leveling of those metrics. So if you think through the process lines, L1 is your executive metric. That’s the all-up number. Your L2s are your leadership numbers, where your managers need to understand those. But your L3, four, five, six, and you can keep going down the rabbit hole, really start impacting how your frontline folks operate. One of the things we’ll talk about today is AI Role Play, and when we think of it, we look at diagnosing issues in our win rates, and we think, “How is our competitive wins doing? What are we, we get very, very granular in how we look at those.” And then we can actually start layering on recommendations and automation. So we do that across probably close to 100 different metrics through the various layers that are our leading indicators. And this really helps us when we think through automation of where we go from here, ’cause once we understand those, we know how are we doing against certain competitors? Are we getting the right amount of MQLs? Are we talking about the right things? Do we get caught up in legal, security? We can understand all those different variables of the business, and then we can take a proactive approach to coaching where we need to coach, and then adjusting the business where we need to adjust the business. And you can’t really do that unless you have that entire foundation laid out and actually understand what all those levers are. So to me, taking the time to do that is really just beyond critical. RR: Yeah. Yeah. You know what you need to do, and you can start driving really aggressively against it, which I– it sounds like you alluded to an example there with AI Role Play, you’re doing the work to do. In that, you’re beginning to layer some of these new technologies, new tools on top of that foundation. What were some of those first use cases that you prioritized, and why did you start where you did? RW: I think the first win you always wanna go for is really a practical application of any new technology and how that can move the needle for the business. So when I think of practical applications, I think of AI Role Play as being a very early one. As an enablement team and a training team, how many times have people walked through certification programs, the one-on-ones with managers, all the Role Plays, all the back and forth and the headaches and the objectivity that goes into those exercises. That’s just a quick win that you can pick up and take care of almost all of that. The time saving alone and the cost of having a manager do these one-on-ones time and time again, it just drains an organization when every organization right now is trying to be lean, mean, focused on sales efficiency. So anything we can do to give back and level the team up, I think is just a no-brainer. So AI Role Play is a huge one for us. We looked at a lot of different places. We tried a lot of different things, and we landed on the Highspot implementation of that because it’s important to be able to do that stuff, but also it has to be within the context of everything you’re doing and all the content and everything that you do have. It can’t be this standalone siloed thing that happens in the background. We need to bring it to the forefront. Yeah, those are the really practical first-step wins that I’ve been excited about. RR: Yeah, and that’s such a good example of mapping it back to those foundational levers. The path there is very clear, I think. RW: Yeah, absolutely. Think of a competitive– your competitive intelligence programs. You do all this work understanding your competitors. Now you can understand when a seller of yours struggles with insert competitor X, Y, or Z. You can identify those trainings, you can recommend the trainings, you can verify they’ve been through them, and then if that’s not working, then you can escalate to coaching and go a little bit deeper from there. So the foundation of the data will help you identify that stuff, and then you start applying the technologies. That’s how you go fix the gap. And then you can monitor it and just keep it going, almost near real time, which is incredible. A lot of the time, organizations are really spending most of their time hearing yesterday’s weather. And when I mean that, I think of, you do a QBR, you go through a quarter, you spend 30 days doing the QBR. At the end of the QBR, you find the problems, you take 30 more days to figure out what the underlying problems are, then you spend 120 days fixing those problems. Then you’re six months removed from what the problem was, and now you got a whole new set of problems that you’re not even keeping up with the business. So being able to identify these things, move quickly, and make recommendations really fast is incredible in the amount of time it buys back an organization to execute, and that you’re focused on the right things at the right time. RR: I’d be curious to hear a little bit about, you mentioned a handful of teams there in some of the early AI Role Play rollout and piloting. How did you start thinking about who you wanted to test this with, the kinds of pilots you wanted to build, and how has that going so far? RW: We tested globally as a global organization. We tried US-based, EMEA, APJ folks. We took a look at various groups from various geographical regions because adoption’s an uptick, and accountability is different at the global scale. The use cases really were tied around what’s our biggest blind spots, and what do we not know, and how do we validate that? As a group that has a BDR team, an SDR team as an example, if you have sellers that don’t wanna work with their BDRs ’cause they’re not confident that their BDRs are competent, then here’s a great way to say, “Hey, actually, we’ve already been them– we’ve taken them through the ringer. We’ve seen that they’re able to demonstrate this stuff, and honestly, we’re building scenarios that are harder for them to get through than you actually deal with, with customers.” So we can stress test the teams, and then sellers don’t respond to customers with ABC answers. They have to be able to be versed in these conversations, so being able to do that was a huge unlock for us, because folks aren’t practicing with their paycheck. Well, the worst place you wanna go figure this stuff out is in front of a customer, so give someone a very safe space to go practice and cut their teeth, and they will just accelerate if they get behind it and really try this stuff out. So yeah, find the high ROI cases, double down on those, share that experience, be vocal about it, and make sure others feel it. Then yeah, that’s how you just get that adoption and the needle moving. RR: Something that I feel like is not as spoken about when it comes to training, Role Plays, et cetera, all of that stuff, is now you have this trust between your counterparts, and you have more of this connective tissue purely because of that, which is really interesting, and I’ve not, I don’t think, heard anyone speak to that element of it before. So curious if you could give me a little bit more of a sense of what that has done for you guys. RW: Yeah. And, as I mentioned, I’ve– I’m five-ish years into the security business, and this is just a business built on trust. So we have to gain the trust of our customers. It’s important in any sales cycle. It’s a hundredfold more important when you’re talking about the security of your organization. So I think intrinsically our– the businesses are highly trust-driven with the folks that they work with, even internally. So, if you think through customer journeys, from trusting they’re landing the right messaging and marketing, to the right message that BDRs are delivering, our sellers deliver it, talking about the right things and delivering the proposals towards the outcomes that the customers are expecting, to how your account team then goes and manages that account or gets ready for renewals. There has to be that thread of trust across those because each one sets one up for failure if not done correctly. And having a verified way of saying, “Hey, I can trust that my coworkers that are working upstream for me are doing the right things and they are competent,” that’s only gonna make you deliver and do better in your particular role, and it’s gonna want you to step your game up, too. RR: Sometimes I feel like folks present a strategy the way it’s working out for them, and I have a thoughtful response to it. But in this case, the only thing I have to say is that’s so cool. It’s really, really cool to see all the different ways that this can show up for an organization beyond what we expect. RW: If you were to turn the clock back two years, AI-based Role Play, that was beyond the bleeding edge. There wasn’t even an edge. It was so far out of the realm. But these things come up quickly, and you wanna be able to jump on ’em and move on ’em. Again, it’s just moving so fast that you have to have that trust and have a team around you that’s willing to build on the successes you’ve had in a past life. So it does take time to get to that point. It doesn’t happen overnight. It gets quicker, that’s the thing, ’cause now, if you think through how you go through a launch in a past life, go back two years: you spin up the marketing machine, they come up with the slides, you host a call, you do a webinar, you send the field out, say, “Go figure it out.” If you’re lucky, you did Role Plays with the managers, you had a competency test, you sat down, maybe you brought some external resources in to actually manage this. And now with technology, you can scope it, build it, deploy it, have everybody through it in a few weeks, and you can actually verify that people can do these things, where in a past life, just none of that existed. You can build trust faster and move quicker today because the technologies enable that stuff. It’s not the, I’ve got a six-month sales cycle, so I don’t know what my sales look like, or I don’t know how well things are going until six months down the line when you’re actually seeing the end-of-line conversions. You just move so much faster right now. It’s, yeah, really exciting. RR: Okay. So we’ve touched on, I think, a lot of some of the granular detail, and I think gotten a picture of what work at Yubico looks like right now. And I think it has been what sounds like a busy few months to get to this point. So since making some of these changes, being really thoughtful about building out your foundation, starting to layer in those early AI use cases, what impact have you seen on things like seller efficiency, time savings, productivity, anything like that? RW: We are cutting so much time out of the administrative burden of our team. It’s hard to put an exact number on it, but we’re looking at reducing sales cycles by upwards of 25% this year. Where if you think through a longer sales cycle on the security side, where things can take six, seven, eight months, if you can carve out a month back on those processes, it unlocks a lot of organizational capacity. So we are heavy on how we are doing that this year, and sales efficiency is one of our big topics for this year. And ideally, in a perfect world, you have the right team that, as you give efficiency time back and give them time to focus on selling, they go out and sell more. You can cut their day down to two hours a day, but what are they gonna do with the rest of the hours of those days to actually go get after it? So we’re cutting time out of their workload, making things easier on them, and then how are we surfacing the latest and greatest new opportunities and more guidance to them, to be a little bit more honed on where to go and focus on the stuff that technology’s not replacing right now, which is the human interaction and the conversations you have to have with your buyers. So that’s our goal today, it’s just every single day, how do we chip away, chip away, chip away? And I think we’re doing a pretty, pretty solid job of that right now. And things that take hours, three, four, five hours to do, you can do in a button click these days. So on a 40-hour week, if that’s all you work, that would be nice. But if you’re doing 40 hours a week and you’re cutting four or five hours out, 10%, 12% of your week is a huge give back on a timing perspective. So we are, yeah, really excited about all that work right now. RR: You mentioned that 25% reduction, which you said, “That’s a solid, that’s solid progress.” I would call that more than solid progress, but that’s just me. Would you say that part of that or some of that could be attributed to that improved ability to practice those conversations and show up better when you’re actually having them live? RW: Absolutely. There’s the process side of house, which is where we can carve a lot of time out, but the competency within that process goes a long way. Just the basics. Can you get somebody to set that follow-up call? Don’t let the customer off the call until you have a next step booked. Even just little things like that, that you get off the call and then it takes you a couple days to schedule that next meeting. You just get rid of coaching that stuff out. Those basics that every seller always knows about, that adds up when you’re thinking enterprise-wide. That goes a long way. So again, foundational data, even just looking at the basics and doing really good at the basics and training people to that, you’re gonna find time back. RR: To my earlier point about a lot of people are excited but don’t quite know what to do, that’s a very specific example of what can you coach to meaningfully? How can you use Role Play to help you train away those bad behaviors that decrease your velocity, decrease your momentum, and in turn cause that chain reaction down the line? So with all this work in mind, what do you think the future of go-to-market, of enablement, looks like at Yubico? What’s next? RW: Ooh, that’s the multi-multi-multi-million dollar question. Someone who’s been around tech for a while, you see patterns in where things are going. I challenge everybody that I talk to about some form of initiative, or obviously a lot of AI discussions today. But if you challenge things from a first-principles perspective, why are you even doing these things? And I think that is a question that organizations need to ask themselves, is why are you doing this, and why are you doing it this way? Does that even make sense in tomorrow’s world of where things are heading? It’s how are you driving decisions? How are you recommending actions? And how are you actually activating on the data and the information that you have? I think that’s where go-to-market goes. It becomes less understanding and reading yesterday’s weather, as I say, and it takes that data and makes it actionable and pushes us forward versus just catches us up, which is also very, very exciting because the things that we thought were out of reach six months ago are in reach now. RR: For people listening who might be, with that last sentence, feeling a little bit inspired but also uncertain, like, oh gosh, how do I keep pace? What would you say to leaders in tech and in other spaces who feel pressured to do AI, perform the thing, layer it into their programs where they can, but aren’t sure where to start? What would you– What advice would you give them, having done it yourself? RW: Start. That’s the key. It sounds silly, but everybody kinda has this not really sure where to start, and that’s okay. I think you just gotta start. First and foremost, you have to just dabble a little bit, get your feet wet, and it all starts to come clear. If you’re thinking through the models that are out there, ask it questions, use it to teach you what you don’t know and where to go. But really it’s your thought partner in how you use these things. You have questions? Ask it questions. You get stuck? Ask it why you’re stuck. Ask it wh– it can do a lot of the things that I think would really surprise people, that will help them head down the right direction. And again, we’re– I say it jokingly, we’re not protein folding. It’s not that crazy, the stuff that we’re doing. You’ll see that there’s a lot of people that have been successful, and you can go a long way just asking the right questions. Don’t be afraid. Do things in a smart way. Make sure your identities are locked down. Shout out, Yubico. Make sure that you’re working with your security teams and doing the right things, and you’ve got access controls in place, of course. But just start. That’s the biggest thing I could tell people, is just start. You’d be amazed how far you can go. RR: Very inspirational to close with. And also, I think a bitter truth sometimes. It’s very much the best way to learn is by doing. RW: Yeah, 100%. I always get the, “Rich, what should I do?” I’m like, “Well, just ask the question.” Just literally just start. Just start. Just get in there and do it, and get going. And really the other thing I would say, on the starting point, is try and build a system where you give people the guardrails to be successful, get the benefits of AI, but also don’t get in the way and stifle innovation. You wanna empower people to go figure things out. Give them the chance to start as well. If you’re a leader in one of these organizations, empower the folks on the front lines to do these things, because this technology is just peeling out those middle layers. The closer you sit to the customers, the more impactful work you’re gonna be able to do. So get your frontline people working on this stuff. RR: I have to say, I think I said it a couple times, but some really interesting, very actionable things, I think, you shared today. So I really appreciate you taking the time to give us some of those recommendations on how to get started with AI, what’s working for you with AI Role Play, all of the goodness on how to not be scared to get started. RW: Thank you again for having me. This has been a lot of fun. RR: Yeah. To our audience, thank you for listening to this episode of the Win/Win Podcast. Be sure to tune in next time for more insights on how you can maximize go-to-market success with Highspot.

You see another article. "This platform just changed everything." And suddenly, the AI platform you've been using for months feels completely inadequate. You wonder if you're behind. You wonder if you should switch again. Neo and I have had this conversation more times than we can count, and it's one of the questions we get asked constantly at Inventium AI. Which of the four major AI platforms, Copilot, ChatGPT, Claude and Gemini, should you actually be using? In this How I AI episode, Neo and I walk through the three questions you should ask yourself before committing to any platform, then go through each one in turn to unpack where it shines and where it falls short. By the end, you will have a clear enough picture to make a call, or at least know which one to try next. How I AI is a special series within How I Work where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. What you'll learn: The three questions to ask before committing to any AI platform Why your data's location could rule out certain options entirely Which platform actually plugs into your daily work apps How pricing models are shifting in ways that could blindside your budget What to weigh before moving your whole company over Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out Smart shortcuts for managing time and mental load Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. My latest book The Energy Game is out now. You can order a copy here: https://amzn.to/48ID29M Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

Physical Farewell: PlayStation's Disc Departure.  Connected Car Confusion: Stolen Vehicles, Smart Apps and Security Shortfalls.  Starter Success: Sourdough Sidekick Simplifies Slow Baking.  Wonka's Wired Whisper: AI Voice Sparks Vintage Vision vs Modern Misgivings.  Paywall Pushback: Premium Price for Practical AI.  Electric Evolution: BMW's Bold Battery Bet.  Ford's Flawed Formula: Why Human Know-How Beat Artificial Intelligence.  Sandy Swimming: Sandfish Science Steers Smarter Mars Rovers.  Apple Access Advantage: The Hidden Hack for a Happier Kids' Phone. 

Open source AI models just hit 41% of Hugging Face downloads — and the real cost gap is 90% or more. Here's what that means for your business.The numbers moved fast this week. Chinese open-weight models now dominate downloads, the quality gap versus closed models has shrunk to 3.3%, and a new repo opens on Hugging Face every seven seconds. Half of the Fortune 500 is already running open source models in production.Isar walks through the new frontier open models Kimi K3 and DeepSeek V4, Thinking Machines Lab's first release, Satya Nadella's Token Capital essay, the new state-level AI laws in New York and Illinois, BCG's AI at Work report, and the Apple lawsuit hanging over OpenAI's hardware plans.In this session, you'll discover:Why Chinese open-weight models now account for 41% of Hugging Face downloadsHow Kimi K3 and DeepSeek V4 price against top US closed models ($15 vs $50 per million output tokens, down to 87 cents)What Satya Nadella's "Token Capital" and reverse information paradox mean for your company's dataWhat New York's data center moratorium and Illinois Senate Bill 315 change for AI companiesWhy BCG found that AI strategy beats tool access — and 72% of CEOs now own the AI decisionBCG "AI at Work: Strategy Matters More Than Tools" — the 12,000-person study covered in this episode — https://www.bcg.com/publications/2026/ai-at-work-why-strategy-matters-more-than-toolsAI 2040 "Plan A" paper — the 90-page proposal to delay superintelligence until 2040 discussed in the rapid fire — https://ai-2040.com/About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

To learn more about valuable resources for entrepreneurs and business owners, please visit https://www.sbprou.com/AI Strategies for Small Business Owners is covered in this Podcast:• How small business owners can leverage AI to save time and increase productivity• Practical AI tools and strategies you can start using in your business right away• How to use AI to streamline operations, outsourcing, and lead generation• Ways AI can help you scale your business without burning out***************************************Running a small business often means juggling multiple responsibilities every day. Join Andrew Frazier and Gene Bohensky as they discuss practical AI strategies that can help small business owners save time, improve efficiency, and make better business decisions.In this session, Andrew and Gene explore how entrepreneurs can leverage AI to automate routine tasks, boost productivity, enhance customer engagement, and uncover new opportunities for growth. Learn how today's AI tools can streamline your workflows and free up your time so you can focus on what matters most, building a stronger business and achieving long-term success.Gene Bohensky CEO of Archers Contact Solutions and is known as "The Outsource Coach and Lead-Gen Expert." He has helped hundreds of business owners scale by providing expert virtual and executive support, strategic lead generation, and operational outsourcing solutions.• LinkedIn:   / eugenebohensky   • Website: https://archerscontactsolutions.com/

Could one AI model save you weeks of work—or even reshape how you run your business?After spending two weeks putting Claude Fable 5 through real-world business challenges, the answer surprised me. This wasn't about writing better prompts or generating content faster. It was about handing complex, multi-step strategic work to AI and getting back solutions that would normally require weeks of research, multiple consultants, and significant investment.In this episode, I share exactly how I approached Fable 5, which projects produced the highest ROI, where it exceeded expectations, where it failed, and the framework I'll continue using once usage moves to token-based pricing.In this session, you'll discover:Why Claude Fable 5 feels less like a chatbot and more like a senior strategist.The framework I used to identify the highest-ROI AI projects across my business.How Fable delegated work to less expensive models to dramatically reduce costs.Real examples where hours—or even weeks—of work were completed in under an hour.Why long-running AI workflows are becoming a competitive advantage.The biggest strengths (and surprising weaknesses) I discovered during two weeks of intensive testing.How to decide when premium AI models are actually worth the investment.Why measuring business ROI matters more than chasing the newest AI model.The mindset shift every business leader needs as AI moves from assistant to orchestrator.If you're evaluating whether advanced AI is worth the investment for your business, this episode provides a practical, experience-based playbook—not hype. Whether you're building workflows, scaling operations, or looking for your next competitive advantage, you'll walk away with ideas you can apply immediately.About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

You've probably seen Cowork mentioned inside Claude, or perhaps you clocked the headlines when Microsoft folded it into Copilot a couple of weeks ago. Either way, the question people keep asking is simple: how is this actually different from just chatting with Claude? The answer comes down to files, time and money - three things that change quite dramatically once you move from chat to Cowork. In this How I AI episode, Neo and I unpack exactly what Cowork can do that regular chat can't, how to know which one to reach for, and what the new Microsoft version means if you're a Copilot user. How I AI is a special series within How I Work where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. What you'll learn: What actually changes when Claude can touch files on your own computer The simple test for deciding between Chat and Cowork for any task How Cowork differs from Claude Code, and who each one is really built for Three lesser known Cowork features worth exploring What Microsoft's version of Cowork does differently, and what it costs Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out Smart shortcuts for managing time and mental load Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. My latest book The Energy Game is out now. You can order a copy here: https://amzn.to/48ID29M Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

Can AI keep getting smarter while becoming dramatically cheaper?This week may go down as the biggest release week in AI history. OpenAI, Meta, SpaceX AI, and Anthropic all introduced major new models and capabilities but the biggest story isn't just who launched what. It's the dramatic shift toward lower-cost, highly capable AI and what that means for every business.In this episode, Isar Meitis breaks down the week's biggest announcements, explains why the AI race is moving beyond benchmark scores toward cost-efficient agentic systems, and explores how these changes are reshaping enterprise adoption, workforce roles, and the future competitive landscape.In this session, you'll discover:Why this may have been the biggest AI release week ever.OpenAI's latest releases, including GPT-5.6, GPT Work, and GPT Live.Meta's surprise entry with Muse Spark 1.1 and why it's turning heads.SpaceX AI's Grok 4.5 and the growing focus on performance at dramatically lower costs.Why AI companies are shifting from "best model" to "best value."What falling AI costs mean for enterprise adoption and ROI.How businesses should think about model routing and using the right AI for the right task.The rise of agentic AI and why autonomous execution is becoming the new competitive battleground.The geopolitical implications of AI model restrictions between the U.S. and China.About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

This week on CMO Confidential, we are revisiting one of our favorite conversations with Rob Ward from January of 2026.A CMO Confidential Interview with Rob Ward, co-founder and General Partner of Meritech Capital, a top Silicon Valley venture firm. Rob shares his take on what he calls a "super terrifying and exciting time" and provides perspective on AI receiving the most capital of any technology in history, the "durability of revenue" and how quickly start-ups are now reaching $100 million in revenue. Key topics include: why VC's focus on growth vs. profitability; the risks associated with massive long-term capital investment; why marketers should pick a "trusted advisor" as their AI partner; and why your data strategy needs "context. Tune in to hear how Astronomer handled the "Coldplay Concert Incident" which immediately became a PR classic and the "VC Foie Gras Effect."What happens when a top venture capitalist pulls back the curtain on AI, valuations, hype cycles, and what's actually working?In this episode of CMO Confidential, host Mike Linton sits down with Rob Ward, Co-Founder and General Partner at Metech Capital, to unpack the realities behind the AI boom. Rob has spent more than 26 years investing in category-defining companies like Facebook (Meta), Snowflake, NetSuite, Zipcar, and Cloudera — and he brings a rare, grounded perspective to today's AI frenzy.Together, they explore: • Why AI adoption is still early — despite explosive growth • The real risks behind inflated valuations and “AI-washing” • How VC decision-making changes during platform shifts • What marketers and executives should actually look for when choosing AI partners • Why data strategy, change management, and trust matter more than tools • What layoffs, productivity, and the future of work really look like beneath the headlines • A masterclass in crisis communications, featuring Ryan Reynolds, Gwyneth Paltrow, and ColdplayIf you're a CMO, CEO, board member, founder, or agency leader trying to make sense of AI without getting swept up in the hype — this is a must-listen conversation.⸻Chapter Markers00:00 – Welcome to CMO Confidential00:19 – Introducing Rob Ward and today's AI conversation01:13 – Where we really are in AI adoption02:26 – Explosive AI growth: what's real vs hype03:35 – Why enterprise AI adoption is still a slog04:37 – Vendor spend, hyperscalers, and the trillion-dollar buildout06:12 – Is this an AI bubble? Public vs private market realities07:20 – Accelerating investment rounds and lack of diligence08:12 – AI-washing and durability of AI businesses09:46 – Proof-of-concepts, switching costs, and fragile loyalty10:55 – Big Tech vs startups: why this cycle is different11:40 – Why VCs chase platform shifts despite the risks13:05 – How AI is changing profitability and headcount math16:11 – “FOGRA” investing and capital distortion17:00 – Circular investing and data-center risk18:23 – Data centers, GPUs, and betting on the wrong future19:38 – Credit default swaps and financial warning signs21:45 – How executives should choose AI vendors22:58 – Change management and why culture matters most24:09 – Why data strategy is the real AI strategy26:36 – “Frequently wrong, never in doubt” and AI hallucinations27:01 – Practical AI use cases for marketers30:00 – Layoffs, productivity, and what's really happening to jobs33:05 – The best questions to spot real AI fluency35:00 – AI safety, geopolitics, and long-term risks36:38 – Crisis management masterclass: Astronomer, Coldplay & Ryan Reynolds39:58 – Final advice and closing thoughts⸻Subscribe for weekly episodes featuring world-class marketing leaders, board members, and C-Suite executives.#CMOConfidential, #MarketingLeadership, #BrandStrategy, #CorporateActivism, #MarketingStrategy, #CMO, #AIinMarketing, #ExecutiveLeadership, #BrandReputation, #ConsumerTrust, #DigitalMarketing, #MarketingInsights, #ThoughtLeadership, #BusinessStrategy, #CustomerCentricSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Feeling the squeeze from regulation, commission changes, and nonstop tech hype? Medicare leader Christian Brindle joins Luke and Josh to deliver the antidote to panic—separating real AI wins from noise, showing you how to adapt your mindset, and proving the sky is definitely not falling. Instead, he maps out the systems you can deploy now to keep booking, closing, and scaling. In this episode: Why so many insurance agents feel "squeezed" (and how to reframe it) AI as "super automation" you can deploy today—not agent replacement Practical AI wins: CRM nudges, social audits, website builds, on-page SEO Replit, Claude, and voice assistants to analyze site performance in plain English What's working—and not—with AI voice callers vs. human callers Building daily outreach systems to actually hit your 25 personal messages Navigating regulatory shifts by focusing on controllables and client value   Everything Senior Insurance on YT: www.youtube.com/@EverythingSeniorInsurance Christian's YT Channel: www.youtube.com/@christianbrindle Seven Figure Medicare Agent Facebook Group: https://www.facebook.com/share/g/1BJ8jQ5dSx/  Everything Senior Insurance: https://eseniorinsurance.com/

If your organisation has moved its AI licenses onto a per-use plan, every single chat thread your team sends is now adding to a bill. Some companies are already burning through their entire IT budget for AI within the first couple of months of the year, and most staff have no idea their usage is costing anything at all. It doesn't have to be a mystery. There are simple habits, from which model you default to, to what time of day you send your first message, that change how far your usage actually stretches. In this How I AI episode, Neo and I unpack tokenomics, the economics of how you actually use your AI. We get into how usage limits work across the major platforms, why the timing of your first chat each day matters more than you'd think, and what changes once you move from a personal plan to an enterprise one. How I AI is a special series within How I Work where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. What you'll learn: What tokenomics actually means and why it's suddenly everywhere How Claude's usage window works differently to ChatGPT and Copilot The simple morning habit that changes how far your usage window stretches Why enterprise billing is shifting, and what that means for your team's budget What managers should be doing before token usage gets out of hand Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out Smart shortcuts for managing time and mental load Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. My latest book The Energy Game is out on July 7, 2026. You can order a copy here: https://amzn.to/48ID29M Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

What if the biggest competitive advantage your business could gain this year costs less than dinner for two? Artificial intelligence is no longer a futuristic concept—it's a tool that forward-thinking entrepreneurs are using today to save time, increase revenue, and outpace the competition. In this episode of 365 Driven, host Tony Whatley sits down with digital marketing expert, AI educator, and SaaS founder Austin Armstrong to explore how business owners can leverage AI without getting overwhelmed by the endless stream of new tools and trends. With more than 20 years of digital marketing experience and millions of followers across social media, Austin has become one of the most trusted voices in the AI space by helping entrepreneurs cut through the hype and focus on what actually works. Together, Tony and Austin dive into practical strategies for adopting AI, building a personal brand, and creating content that generates real business—not just vanity metrics. Austin shares why entrepreneurs should stop fearing failure, embrace experimentation, and learn to pivot quickly when the market speaks. You'll also discover how AI agents are transforming the way businesses operate, why conducting a time audit may be the smartest first step before investing in new technology, and how entrepreneurs can automate repetitive work while focusing on high-value activities that drive growth. The conversation also explores the future of AI, from autonomous agents and robotics to the evolution of marketing, content creation, and software itself. Whether you're just beginning to explore AI or you're looking to gain a competitive edge, this episode delivers actionable insights that can help you work smarter, market more effectively, and future-proof your business. If you're a business owner who wants to stay ahead instead of getting left behind, this episode is packed with strategies you can start applying today. Key highlights: Why AI is the biggest competitive advantage for entrepreneurs today. How AI agents can save hours of work every week. The simple time audit that reveals what to automate first. Why consistency beats going viral on social media. How to build a personal brand that attracts high-paying clients. The mindset shift every entrepreneur needs to embrace AI. Austin's predictions for the future of AI, automation, and robotics. Practical AI tools every business owner should start using today. Connect with Tony Whatley: Website: 365driven.com Instagram: @365driven Facebook: 365 Driven Connect with Austin Armstrong: Website: AustinArmstrong.ai

If you've ever stared at a model picker and wondered whether to click Flash, Sonnet, Opus, Instant, or Think Deeper, you are not alone. These naming conventions are genuinely confusing, and most people just pick something and hope it works. The stakes are higher than they might seem, though. Token misuse has left some companies with eye-watering AI bills, including one case where a single employee ran up a $500,000 tab in a month. The good news is that there is a simple mental model that cuts through all the noise, and once you have it, choosing the right model for any task takes seconds. In this How I AI episode, Neo and I walk through the four major AI platforms, Gemini, ChatGPT, Claude, and Copilot, and break down exactly which model to use and when. We also get into tokens, usage limits, and why matching the model to the task matters far more than most people realise. How I AI is a special series within How I Work where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. What you'll learn: Why ignoring model numbers and reading the small print instead saves a lot of confusion What Fable and Mythos are, and why you can't use them right now How token usage works and why the right model choice protects your access Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out Smart shortcuts for managing time and mental load Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. My latest book The Energy Game is out on July 7, 2026. You can order a copy here: https://amzn.to/48ID29M Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

Is your business ready for a world where AI doesn't just answer questions—but gets the work done?The age of agentic AI has officially arrived. Companies are rapidly shifting from chat-based AI to autonomous AI agents capable of completing hours of work with minimal human involvement. The organizations that adapt early are likely to gain a significant competitive advantage, while those that hesitate risk falling behind.In this episode, Isar Metis unpacks the biggest AI developments of the week—from OpenAI's dramatic internal transformation and Anthropic's latest enterprise agent, to the growing talent war between leading AI labs and breakthrough healthcare applications. More importantly, he explains what these changes mean for business leaders and how to prepare your organization for the next phase of AI adoption.In this session, you'll discover: Why OpenAI has shifted almost entirely to agentic AI internally.  What the end of Custom GPTs means for businesses.  How Anthropic's Claude is becoming a true AI teammate inside Slack.  The biggest challenges around AI governance, security, and trust.  Why AI agents are creating new budgeting and infrastructure challenges.  The growing competition for top AI researchers—and why it matters.  Healthcare breakthroughs showing AI's real-world impact.  Practical steps every business leader should take today to prepare for an agentic future. If you're leading a team, shaping AI strategy, or simply trying to stay ahead of one of the fastest technology shifts in history, this episode will help you separate the hype from the practical reality.About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

In this episode of the Life Matters Podcast, host Bill Bell, Vice President of Advanced Sales at Penn Mutual, welcomes Daria Lee Sharman, Executive Director of Launch by NTT DATA, and Nick Bowman, Co-Founder of Xcela AI, for a conversation on artificial intelligence and its growing role in financial services.  As AI continues to gain attention across industries, many financial professionals are asking how it may impact their businesses, client relationships, and day-to-day operations. Daria and Nick share practical perspectives on how AI is being used today to improve efficiency, streamline administrative tasks, enhance client communication, and support business growth.  You'll hear insights on:  • How financial professionals and insurance carriers are using AI today  • Why AI is unlikely to replace trusted financial professionals  • Practical AI tools that may help improve efficiency  • Common misconceptions about AI adoption  • Data privacy and security considerations  • How AI may shape the future of financial services  This episode is designed for financial professionals looking to better understand AI and explore practical ways to leverage emerging technology while maintaining the human relationships that drive long-term client success.  Have a question or comment for Bill or Jenna? Drop him an email at: LifeMatters@PennMutual.com     Follow Us Facebook: https://www.facebook.com/PennMutual/      Instagram: https://www.instagram.com/PennMutual/      LinkedIn: https://www.linkedin.com/company/penn-mutual/      Penn Mutual's Financial Professional Resource Site: https://gateway.pennmutual.com/    Artificially Planned Advance Sales Insight: Artificially planned | Gateway | Penn Mutual This podcast is for informational purposes. Guests' views, comments, and opinions on products, services, or strategies do not necessarily represent the views of or imply endorsement by The Penn Mutual Life Insurance Company or its affiliates. Product availability, benefits and provisions vary by state.  8987212NS_JUN28 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What if the biggest AI opportunity for your business isn't ChatGPT—but the tool quietly replacing it?While much of the AI conversation has focused on Claude Code and coding assistants, a new contender is changing how business leaders think about productivity, automation, and execution.In this episode, Dan Sanchez joins Isar Meitis to explore how OpenAI Codex has evolved far beyond software development. Together they reveal how AI agents can proactively find context, take action, automate complex workflows, and become true collaborators inside your business, not just chatbots that answer questions. If you're looking for practical ways to scale marketing, streamline operations, and unlock new levels of efficiency without increasing headcount, this conversation offers a glimpse into what the next generation of AI-powered work looks like. In this session, you'll discover: Why OpenAI Codex is gaining momentum beyond software development  The key differences between Codex, ChatGPT, Claude Code, and Claude CoWork  How AI agents proactively find context and execute tasks autonomously  Why project-based AI workflows are becoming essential for modern businesses  How Dan uses Codex for marketing, content creation, and process automation  The power of AI-accessible folders, files, and organizational systems  How AI can generate, manage, and improve business assets over time  Practical examples of automating large-scale content operations  Why business leaders should start thinking beyond prompts and toward AI-powered execution  The future of agentic workflows and AI-assisted business operationsAbout Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Tori Begg joins Brad Bialy to separate fact from fiction and share a practical roadmap for staffing leaders looking to implement AI without getting lost in the noise. Despite the constant hype surrounding AI agents and automation, most organizations are still in the early stages of adoption.From generative AI and AI agents to workflow mapping and digital labor, Tori explains what staffing firms should actually be paying attention to right now—and what can safely be ignored. She shares why most organizations aren't ready for full-scale agentic AI, how recruiters can identify the highest-value opportunities for automation, and why understanding your workflows is the first step toward successful AI adoption.Brad and Tori also dive into AI hallucinations, prompt engineering, custom GPTs, small language models, clean data, and the growing importance of keeping humans at the center of every AI strategy.Whether you're experimenting with ChatGPT for the first time or actively exploring AI-powered recruiting, sourcing, sales, and operations workflows, this conversation offers a practical framework for using AI to increase productivity, improve decision-making, and create a competitive advantage without sacrificing the relationships that make staffing successful.Expect to Learn:The difference between generative AI and agentic AIWhy workflow mapping should happen before AI adoptionHow to identify non-revenue-generating tasks for automationWays to reduce AI hallucinations and improve output qualityWhy using multiple LLMs can improve resultsThe role of small language models in the future of staffing technologyHow AI agents can support sourcing, screening, engagement, and ATS updatesWhy a "human first, AI forward" mindset will separate successful firms from the restAbout the HostBrad Bialy is a trusted voice and highly sought-after speaker in the staffing and recruiting industry, known for helping firms grow through integrated marketing, sales, and recruiting strategies. With over 13 years at Haley Marketing and a proven track record guiding hundreds of firms, Brad brings deep expertise and a fresh, actionable perspective to every engagement. He's the host of Take the Stage and InSights, two of the staffing industry's leading podcasts with more than 225,000 downloads.About the GuestTori Begg is a senior AI leader specializing in adoption, enablement, strategy, and the human side of artificial intelligence. As Senior Manager of AI Programs, she leads AI strategy and implementation across sales, marketing, and operations, helping organizations translate emerging AI capabilities into measurable business impact.Tori focuses on how leaders redesign workflows, roadmaps, decision-making, and expectations as AI reshapes how work gets done. She is the co-founder of Mind & Machine DFW and a frequent speaker on AI leadership, organizational transformation, digital labor, and the practical application of AI in business.Sponsors and Offers HeardTake the Stage is presented by Haley Marketing. For a limited time, we're offer 50% off of a brand new staffing website. Just message Brad Bialy on LinkedIn and mention the Crazy Website Promo.For 30 years, Benefits in a Card has delivered benefit plans designed specifically for the staffing industry—over 140 unique options with immediate coverage, unique perks like FreeRx, and solutions that reduce turnover while improving ACA compliance. Give your workforce benefits they'll actually use and give your staffing firm a competitive edge. Learn more at:https://www.BenefitsInACard.com.

Can a company reach 1 billion users before figuring out how to make money—and still dominate the future of AI?This week's AI news cycle delivered a fascinating mix of milestones, competitive shakeups, enterprise AI breakthroughs, security concerns, and agentic innovation. OpenAI crossed the historic 1-billion-user mark, Microsoft opened Copilot CoWork to the masses, SpaceX made a massive move with its $60 billion Cursor acquisition, and new open-source challengers emerged to challenge the industry's biggest players. For business leaders, the message is becoming increasingly clear: AI capabilities are no longer the bottleneck. Adoption, governance, employee enablement, and operational execution are now the real competitive advantages. Organizations that successfully train their teams and embed AI into daily workflows are already seeing dramatic productivity gains and measurable business outcomes. In this session, you'll discover: Why OpenAI's 1-billion-user milestone may be more complicated than the headlines suggest  How ChatGPT's market share slipped below 50% while Gemini and Claude continue gaining ground  OpenAI's new $150 million partner network and what it means for enterprise AI adoption  Why Microsoft Copilot CoWork could become a game changer for organizations already invested in Microsoft 365  The strategic implications of SpaceX acquiring Cursor for $60 billion  How new open-source coding models are challenging leading closed-source AI systems  Why AI governance and international cooperation became a major focus at the G7 Summit  The growing scrutiny facing OpenAI ahead of its anticipated IPO  New developments in agentic AI platforms from Databricks and Vercel  How leading companies are using AI agents to transform productivity and operations  What business leaders need to know about AI's growing impact on jobs, hiring, and workforce planning  Why employees who openly use AI may still face workplace stigma despite widespread adoptionAbout Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

AI in the salon is no longer something you can put off, and ignoring it won't make it disappear. This week I'm joined by Martha Lynn Kale, owner of Mirror Mirror in Austin, Texas, who has spent the past year building AI into how she leads, hires, trains and markets. We get practical about what she uses it for, where it earns its place, and the mistake that trips most owners up.If you're curious about AI but unsure where it fits, or a bit nervous about it, this episode will help ground you. You'll come away knowing how to find the balance between using AI to increase efficiencies, but still protect the human side of your salon. Most importantly you'll understand  the work you have to do first so AI actually has a foundation of knowledge to build on.IN THIS EPISODE YOU'LL LEARN:✅ The practical jobs AI can take off your plate so your team is more present for clients✅ Why you have to do the work on your values and systems first before AI is any use✅ How to keep AI invisible to clients while it sharpens everything behind the scenes✅ The "start with one problem" approach that beats asking AI to build everything at once✅ Where to begin if you're nervous or sceptical about AI in your businessIN THIS EPISODE:[00:00] Introduction[02:37] Does using AI make you lazy, or sharpen your thinking?[04:08] Why AI works best as an enhancement to what you already do[05:14] The platforms Martha Lynn uses and why ChatGPT knows her[06:13] Typing versus talking: finding the input style that suits you[09:08] Using AI to tighten org charts, roles and career paths[11:46] The finance angle: driving revenue and solving slow Saturdays[13:52] Keeping the human touch as salon software gets smarter[15:46] Marketing with AI: brainstorming, captions and the branding challenge[20:29] The front desk slip that revealed human first, policy second[24:27] Rebuilding the apprentice program with feedback and AI[28:58] The work you must do before AI can help you[33:13] Where to start if AI still makes you nervousWant MORE to help you GROW?

What happens when AI starts building the next generation of AI—and even its creators admit they don't know what comes next?This week, we explore a convergence of breakthroughs, billion-dollar bets, government oversight, and legal accountability that could reshape business faster than most leaders are prepared for. Anthropic's latest research suggests we're approaching an era where AI systems increasingly improve themselves, while governments are simultaneously looking for ways to slow, regulate, or gain visibility into the process. For business leaders, this isn't a future problem. It's a present-day strategic challenge. The organizations that understand how these forces connect—from AI capability acceleration to trillion-dollar capital markets and industry-wide disruption—will be far better positioned to navigate what's coming next.In this session, you'll discover: Why Anthropic believes recursive self-improvement may arrive sooner than most institutions are prepared for.  How AI is now generating the majority of code used to improve future AI systems.  What the latest AI performance gains mean for software development, research, and innovation.  Why OpenAI and Anthropic are pursuing trillion-dollar-scale IPOs.  How AI-driven consolidation could transform industries such as accounting.  The emerging government response to increasingly powerful frontier AI models.  Why policymakers are exploring new forms of oversight, ownership, and control of AI infrastructure.  The growing debate around legal liability when AI-generated mistakes create real-world consequences.  What business leaders should be watching over the next 12–24 months.About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

In this episode of Connecting the Dots, I sit down with Carsten Ellsworth, Director of Marketing at Avista Senior Living, to explore what it really means to become an AI-enabled marketer.Carsten shares how he “accidentally” found his way into senior living through an internship that turned into a nine-year career, and how his passion for marketing has evolved alongside the rise of AI. Rather than treating AI as a shortcut or content machine, Carsten sees it as a tool for deeper thinking, better strategy, and building real systems that improve the way marketing teams operate.The conversation covers practical ways senior living marketers can use AI today, from campaign strategy and reporting to business frameworks, automation, app-building, and data analysis. Carsten also offers a grounded perspective for leaders who feel behind: the key is not mastering everything at once, but taking action and applying AI to the next real problem in front of you.Guest Bio:Carsten Ellsworth is the Director of Marketing at Avista Senior Living, where he leads marketing strategy across a diverse portfolio of senior living communities. An AI-enabled marketer, Carsten is passionate about using artificial intelligence to enhance strategic thinking, improve workflows, analyze data, and build practical systems that help teams move faster and make smarter decisions. His approach to AI is rooted in experimentation, action, and the belief that these tools can empower marketers to expand what they are capable of creating.Time Stamps02:38 — Carsten's path into senior living03:45 — The moment AI became empowering07:22 — Practical AI value in senior living marketing08:25 — Building AI business frameworks11:13 — Turning a spreadsheet into a real internal app13:18 — Avoiding AI slop15:37 — Balancing data, intuition, and AI insights17:26 — First steps for marketers who feel behind20:38 — Why AI-enabled people will have the advantage22:08 — What separates marketers who thrive from those who struggle22:54 — Final thoughts on empowerment and possibilityCarsten Ellsworth, Director of Marketing at Avista Senior Living, joins Matt Reiners to discuss how AI-enabled marketers can use strategy, automation, data, and action to build real marketing systems in senior living.

What if AI could produce two weeks of business analysis in five minutes?Most leaders are still using AI as a chatbot—asking questions, generating content, and brainstorming ideas. But the real opportunity lies elsewhere: teaching AI how to execute repeatable business processes on demand.In this episode, Isar Meitis reveals why AI skills may be the most important advancement in practical AI today. You'll learn how to transform AI from a conversation partner into a digital coworker that can generate reports, build presentations, create dashboards, manage workflows, and execute complex business tasks with minimal input.Whether you're leading a team, scaling operations, or looking for ways to eliminate repetitive knowledge work, this episode provides a roadmap for creating AI systems that deliver real business outcomes.In this session, you'll discover: What AI skills are and why they matter more than prompting  The difference between AI skills, agents, and orchestrators  How AI can turn raw business data into executive-ready reports  Why specialized skills outperform one-size-fits-all AI workflows  How Claude and ChatGPT automatically select the right skills  Real-world examples of skills used for branding, proposals, reporting, presentations, newsletters, and more  How to make your AI capabilities portable across platforms  Why AI skills can become the foundation of a scalable digital workforce  How orchestrators connect multiple skills into powerful business systems The future of AI isn't better prompting, it's building reusable skills that allow AI to perform work consistently, accurately, and at scale. Once you understand how skills work, you can create AI-powered systems that function like employees rather than chatbots.About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

**Join the AI Agent Bootcamp here: https://www.inventium.ai/learnvirtually-agents** You have access to AI. You probably use it a fair bit. And yet there's a good chance you're still manually scrubbing through meeting transcripts, tabbing between LinkedIn and Google News before every sales call, and spending 20 minutes writing an executive summary for a paper you just finished writing. That gap between having AI and actually letting it take things off your plate is where a lot of time quietly disappears. In this How I AI episode, Neo and I walk through eight tasks that knowledge workers should never have to do manually again, and what it actually looks like to hand them off to agents. How I AI is a special series within How I Work where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. What you'll learn in this episde: Which meeting-related tasks are the easiest to hand off to an agent How to build a pre-meeting briefing agent for sales and business development Why editing and proofreading agents need very specific instructions to protect your voice Where inbox agents are most useful, and what they can and can't do for you How to think about agents when comparing options before a purchase decision Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out Smart shortcuts for managing time and mental load Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. My latest book The Energy Game is out on July 7, 2026. You can order a copy here: https://amzn.to/48ID29M Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

AI is everywhere…but what's actually working for brands today? In this latest episode of Limited Supply, we're jumping into a panel discussion from last year's Ecom AI Summit, featuring leaders from DTC powerhouses like Unilever, True Classic, Jones Road Beauty, and Athena. This session cuts through the hype and shares how these market leaders are putting AI tools to work across marketing, ecommerce, customer experience, operations, and search. From AI-powered personalization and creative testing to AI search optimization, autonomous agents, and team-wide AI adoption, this conversation explores the practical applications brands are implementing right now and where the technology is heading next. Whether you're overwhelmed by the pace of AI innovation or looking for actionable ideas you can bring back to your team, this episode is packed with real-world insights from operators on the front lines. And don't miss your chance to sign up for this year's Ecom AI Summit, taking place on June 25 at Webster Hall in NYC: https://ecomfounders.com/pages/ai-summit What's Instant? It's the secret weapon to triple your email revenue with AI-powered flows and campaigns. Instead of sending the same cart reminders to everyone, Instant gives every shopper a personalized email experience: Copy, products, and offers that adapt to your shopper's behavior and purchase history in real time. Emails sent at the exact moment each shopper is most likely to buy. 11+ abandonment flows and smart multi-step campaigns live in minutes. Built for DTC marketers. Made for revenue growth. See why brands are replacing their ESP with Instant: ⁠⁠⁠⁠instant.one/sharma⁠⁠⁠⁠. --- Want more DTC advice? Check out the⁠⁠⁠⁠ Limited Supply YouTube page⁠⁠⁠⁠ for more insider tips. And if you're looking for an instant stream of on-demand DTC gold, check out the⁠⁠⁠⁠⁠ Limited Supply Slack Channel⁠⁠⁠⁠⁠ for Nik's most unfiltered, uncensored thoughts. Check out the Nik's ⁠⁠⁠⁠⁠DTC newsletter⁠⁠⁠⁠⁠ Follow Nik on Twitter:⁠⁠⁠⁠⁠⁠ https://www.twitter.com/mrsharma

There's a gap between people who grow in their careers and people who wait to be grown. This episode is for anyone sitting in that gap, wondering why the effort isn't translating. Elizabeth Barber has a clear answer and it has nothing to do with working harder. Elizabeth and Bryce dig into workplace autonomy, practical innovation, and what it actually looks like to take ownership of your visibility, your decisions, and your career trajectory. This isn't motivational talk, it's operational. Elizabeth brings frameworks she's used inside real organizations, and she doesn't sugarcoat what it takes. This episode is for professionals who are done waiting and leaders who want to build teams that don't need to be rescued. About Elizabeth: Elizabeth Barber is an operations leader specializing in customer experience, scalable systems, and practical AI adoption. A U.S. Navy veteran, she's known for bringing clarity, structure, and a no-fluff approach to leadership and execution. She works at the intersection of AI, software, communications, operations, and leadership. Connect with Elizabeth on LinkedIn: https://www.linkedin.com/in/elizabethbarber/ What We Cover: Elizabeth's background and the through line from Navy service to operations leadership What "own your agency" actually means in a workplace that rewards waiting Momentum over permission, making decisions without waiting to be rescued Practical AI adoption: small steps, real outcomes, and what doesn't make the cut Why clarity beats cleverness in communication and leadership How to stay visible and active in your own career planning Where to find Elizabeth and what she's working on now Key Takeaways: Visibility is active, not passive if you're hoping someone notices, you've already lost ground The filter for any tool or process: does it reduce friction and improve outcomes? Use it. If not, cut it Shipping at 80% is a strategy, not a shortcut waiting for perfect keeps you invisible Clear communication is a leadership skill bullets, white space, and a direct call to action will outperform clever copy every time You can build systems that support your growth without waiting for an org chart to give you permission  

Welcome to another episode of Late Boomers, the podcast for those of us who are redefining what it means to age, work, and thrive in this fast-changing world. We're Cathy and Merry, and in this week's episode, we dive deep into one of the most talked-about topics in business today: artificial intelligence (AI), especially how it can help boomers like us not just keep up, but lead the way.Are you still personally handling every task in your business? Do you feel buried in emails, invoices, and social media posts, all while wondering if AI is only for the tech giants? This episode is for you!We sit down with the incredible Antonio Thornton, founder of Aixios and a systems expert who's generated over $113 million in revenue for clients across 19 industries. Antonio brings 27 years of systems engineering and 30 years of direct response marketing to the table, and today he shares his actionable, real-world strategies to help boomers leverage AI without getting lost in tech jargon.This episode is packed with honest stories, practical frameworks, and a fresh perspective on how AI can rescue (not replace) seasoned business owners, consultants, and entrepreneurs.Key TakeawaysAI is for all of us not just techies: Antonio debunks the myth that AI is out of reach for boomers and small businesses. In fact, now is the perfect time to embrace it (35:08).The $15/hr trap: If you're stuck juggling endless low-value tasks, you're limiting your own growth. Learn how to get out of the “CEO bottleneck” and focus on high-value, revenue-generating activities (04:24).Fix the foundation first: Don't automate dysfunction! Discover why building solid operational systems before implementing AI is crucial for success (10:41).Practical frameworks: Simple exercises like Antonio's “Time Bank” can quickly reveal where your time (and money) are leaking and help you identify what to automate or delegate immediately (28:57).AI as a business partner: Real-world examples of custom AI operating systems that drastically cut down on busywork, prevent burnout, and even enable owners to finally take vacations without their companies grinding to a halt (22:05).You're not too late: AI moves fast, but plenty of the early obstacles have been worked out. It's not about being replaced by AI, it's about leveraging it to outpace your competition (34:22).The best tools to focus on: Out of hundreds launching daily, Antonio recommends prioritizing useful, ethical, and powerful platforms, such as Claude AI, for tangible business results (37:35).Are you ready to see where your time and revenue are leaking? Start today by trying Antonio's Time Bank exercise: set a timer for every 15 minutes, write down what you're doing, and categorize each task as revenue-generating or not. You'll be amazed at what you discover!Want to learn more and get practical resources to kickstart your own AI-powered reinvention? Head over to aixios.ai/boomers for a free AI quick-start guide just for our listeners!If today's conversation energized you, don't forget to subscribe, leave us a review, and share this episode with a fellow business owner or entrepreneur in your circle. It's never too late to reinvent your business or yourself.Let's keep thriving,Cathy & MerryMentioned in this episode:Late Boomers is part of the eWomenPodcastNetwork. eWomenPodcastNetwork

What if the problem with your AI videos isn't the AI... it's the story?Most business leaders are racing to adopt AI-powered content creation. Yet despite having access to incredible tools, many are still producing videos that fail to engage, inspire, or convert.In this episode, former TV Executive Producer Eve Whitaker reveals why great video content starts long before you open an AI video generator. Drawing on more than 15 years in television production and her deep expertise in AI workflows, Eve shares the framework she uses to transform ideas into compelling videos that connect emotionally and drive action.If you're investing time, budget, or attention into AI-generated content, this conversation will help you avoid the biggest mistake most creators make: focusing on the technology before understanding the audience.In this session, you'll discover: Why AI has created unprecedented opportunities for businesses of every size  The three production phases behind every successful video  Why pre-production is still the most important part of the process  The "Problem Identification" framework Eve uses to uncover audience pain points  How AI can accelerate production without replacing strategic thinking  The biggest misconception business owners have about AI video creation  Practical ways to use Custom GPTs to improve content planning and messaging Whether you're creating thought leadership content, marketing campaigns, training materials, or social media videos, this episode offers a practical roadmap for producing AI-powered content that people actually care about.About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Guest Introduction Greg Workmon is the founder and CEO of LoadUp, a tech-enabled junk removal marketplace transforming the industry with transparent pricing, operational efficiency, and innovation-driven growth. Key Discussion Themes How LoadUp started with one repeatable service: mattress removal Why transparent online pricing changes the customer experience The decision to skip franchising—and what that unlocks operationally Winning through local search intent and content strategy Practical AI in a service business: SMS agents + photo-based pricing tests Leadership discipline: pacing, focus, and avoiding “new shiny thing” traps Listener Takeaway If you want scale without chaos: pick a narrow wedge, get extremely good at it, and protect focus like it's a business asset—because it is. Guest Website https://goloadup.com/ Guest Social Links https://www.linkedin.com/in/greg-workmon-27846835/ https://www.facebook.com/goloadup/ https://www.instagram.com/GoLoadUp/ https://x.com/GoLoadUp/ https://youtube.com/LoadUpTV/ https://www.linkedin.com/company/goloadup/ CTA Listen here:https://entrepreneurconundrum.com/gregworkmon Greg Workmon https://goloadup.com/ https://www.linkedin.com/in/greg-workmon-27846835/ https://www.facebook.com/goloadup/ https://www.instagram.com/GoLoadUp/ https://x.com/GoLoadUp/ https://youtube.com/LoadUpTV/ https://www.linkedin.com/company/goloadup/ Virginia Purnell Funnel & Visibility Specialist Distinct Digital Marketing (833) 762-5336 virginia@distinctdigitalmarketing.com www.distinctdigitalmarketing.com

AI is everywhere. How can pregnancy help organizations use it wisely and effectively? In this episode of the Marketing Minute, the Extend Web Services team breaks down practical ways to use AI without losing your organization's voice, trust, or credibility. From creating simple AI policies to avoiding “AI slop,” writing stronger prompts, and using AI to evaluate marketing efforts, this conversation offers strategies you can start using right away. FREE AI Resources Interested in emails from Extend Web Services? Contact support@extendwebservices.com Visit ExtendWebServices.com for more on Extend Web Services Heartbeat International provides a forum to express a marketplace of ideas for an audience of life-affirming pregnancy help organizations and those who support such organizations.  The ideas, views and opinions expressed in this presentation are those of the presenter and may or may not reflect advice, opinions, policies or views of Heartbeat International, Inc. Presenters come from a wide range of experiences and backgrounds, inside and outside of the Pregnancy Help Movement.  We encourage listeners or viewers to do their own additional research and discern for themselves how to apply the materials presented. Share Post Share

Secure your spot for the MULTI-AGENT ORCHESTRATION AI COURSE: https://multiplai.ai/multi-agent-orchestration-course/What if your biggest growth problem isn't a lack of leads—but too many of the wrong ones?Most business leaders assume more traffic, more campaigns, and more leads equal more growth. But what if the real opportunity is creating fewer, smarter, higher-converting interactions?In this conversation, Andy Crestodina breaks down how AI is transforming B2B lead generation—not by creating more marketing noise, but by helping companies deeply understand buyers, optimize conversions, and align messaging with customer psychology. The result? Better leads. Better conversion rates. Less wasted effort. Andy shares practical frameworks and AI-powered tactics for optimizing landing pages, creating stronger calls-to-action, building smarter personas, and turning websites into conversion engines. If your business is generating attention but not enough qualified opportunities, this session gives you a roadmap.In this session, you'll discover:• Why more leads can actually create more overhead instead of more growth • How AI helps identify and attract the right audience—not just a bigger one • Why conversion optimization starts at the end of the buyer journey  • The hidden psychology behind high-performing CTAs  • How AI-generated personas can sharpen messaging and improve marketing relevance  • Practical AI workflows for auditing landing pages and improving conversion rates  • Why doubling conversion rates can transform growth faster than increasing traffic Andy Crestodina is the Co-Founder and Chief Marketing Officer of Orbit Media and one of the most respected voices in B2B content strategy, SEO, conversion optimization, and digital marketing. With 25+ years of experience helping businesses grow through data-driven marketing, Andy combines deep expertise with practical AI applications to improve lead generation and conversion outcomes. Connect with Andy on LinkedIn: https://www.linkedin.com/in/andycrestodina/About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

**Join the AI Agent Bootcamp here: https://www.inventium.ai/learnvirtually-agents** You sit down to research something for work, open a few tabs, type a vague query into AI, and get back something that feels… fine. Technically an answer. Not quite useful. Meanwhile, that report you've been working on probably needs another set of eyes, but getting real feedback takes time you don't have, so you send it anyway and hope for the best. There's a better way. In this How I AI episode, Neo and I walk through three agents we think every knowledge worker genuinely needs, including two we're giving away for free. How I AI, a special series within How I Work where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. What you'll learn in this episode: Why a basic AI research query often isn't enough, and what to do instead What a critical thinking agent actually checks for, and when it earns its place What a cross-functional advisory board agent is, and who it's built for How long it really takes to build agents that work reliably Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out Smart shortcuts for managing time and mental load Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. Here are links to the free agents mentioned in this episode: Research agent: https://amantha-imber.kit.com/41cec7c48c Critical Thinking agent: https://amantha-imber.kit.com/51dd2a9719 Join the AI Agent Bootcamp to access the Advisory Board agent My latest book The Energy Game is out on July 7, 2026. You can order a copy here: https://amzn.to/48ID29M Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

**Join the AI Agent Bootcamp here: https://www.inventium.ai/learnvirtually-agents** There's a question you've answered a hundred times before. You know the one. Someone pings you, you stop what you're doing, dig through a document or two, and type out the same response you've typed a dozen times this month. It doesn't feel catastrophic in the moment, but across a week it quietly eats hours. A knowledge agent is built for exactly this problem. It holds the information so you don't have to be the one constantly retrieving it. In this How I AI episode, Neo and I unpack what a knowledge agent is, how it works, and how to build one that actually saves you time, whether you're fielding questions solo or trying to help a whole team self-serve. How I AI is a special series within How I Work where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. What you'll learn: What a knowledge agent actually is and how it differs from other agents The kinds of questions and roles that benefit most from one How to share a knowledge agent across a team without creating problems What makes knowledge good (or bad) for an agent to work from The three things you need to set up a knowledge agent properly Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out Smart shortcuts for managing time and mental load Connect with Neo Aplin on LinkedIn (https://www.linkedin.com/in/neoaplin/) and via inventium.ai (https://inventium.ai), where he leads Inventium's AI training and upskilling work with organisations and teams. My latest book The Energy Game is out on July 7, 2026. You can order a copy here: https://amzn.to/48ID29M Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha.substack.com/ Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits: Host: Amantha Imber Sound Engineer: Martin Imber See omnystudio.com/listener for privacy information.

Secure your spot for the MULTI-AGENT ORCHESTRATION AI COURSE: https://multiplai.ai/multi-agent-orchestration-course/What if the biggest tech layoffs in history aren't really about AI… but the AI wave that justifies them is just getting started?Tech giants are posting record revenues while cutting tens of thousands of jobs. CapEx is hitting historic highs. And behind closed doors, the courtroom drama between Elon Musk, Sam Altman, and Microsoft is revealing things that sound straight out of a Hollywood script.In this weekend news episode, Isar Meitis breaks down the most important AI stories of the week — from the dissonance between booming tech revenues and mass layoffs, to the explosive testimonies in the Musk vs. OpenAI trial, to the cybersecurity exploits that just broke Apple's most advanced hardware in 5 days.You'll get a clear-eyed look at what's actually driving the layoffs, who's winning the enterprise AI race, and why the next wave of disruption is closer than most leaders realize.If you want to understand where the AI economy is heading — and what it means for your business, your job, and your industry — this episode connects the dots in ways most headlines won't.In this session, you'll discover:Why tech companies are laying off thousands while breaking revenue recordsThe truth behind "AI-driven" layoffs (and what Gartner's new data reveals)How OpenAI, Anthropic, and Google are racing to dominate enterprise AI deploymentThe shocking revelations from the Musk vs. OpenAI trial — including hidden personal ties and alleged lies at the topHow AI just cracked Apple's most advanced security in only 5 daysMicrosoft's research showing AI agents corrupting documents on long tasksGoogle's new Gemini Intelligence layer for Android and Chrome — and what it means for the future of appsAnthropic's first major push into the small business marketHow AI-generated political content is reshaping elections (LA mayor race case study)Why xAI's Grok 9 and "Grok Build" could disrupt the Claude Code vs. Codex raceThe Figure AI robots that just sorted 28,000 packages in 24 hours with zero mistakesAbout Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Matt Faircloth talks to Jake Heller as he reveals how experienced real estate professionals are building digital brains tailored to their unique models, saving time, reducing errors, and giving a competitive edge. You'll learn practical strategies to incorporate AI into deal underwriting, asset management, and deal sourcing, plus the critical importance of prompt engineering using the RTCF framework to get the most accurate results. If you're a real estate investor, broker, or developer tired of cookie-cutter solutions, this episode is your playbook for integrating AI to elevate your deals and decision-making. Stay ahead of the curve future-proof your business with insights on proprietary data, custom AI brains, and the next generation of automation that's just around the corner. Jake Heller Current role: Co-Founder of AI for CRE Collective Based in: Los Angeles Metropolitan Area Where to find them: https://www.linkedin.com/in/jakeheller1 aiforcrecollective.com Book your free demo today at bill.com/bestever and get a $100 Amazon gift card. Visit https://m1.com/ for more info.  Podcast production done by⁠ ⁠Outlier Audio⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

U.S. Congressman Don Beyer returns to Practical AI for another far-reaching conversation with Chris about many of the most important AI challenges facing America and the world.  Blending political savvy and statesmanship with his unique technical understanding as an active Ph.D student in AI at George Mason University (making him the coolest member of Congress!), the congressman shares his perspective about the really hard AI concerns that you would have asked him yourself.  Together, Congressman Beyer and Chris explore AI regulation, cybersecurity concerns sparked by advanced models like Mythos, bipartisan AI governance efforts, and the growing AI race between the U.S. and China. They fearlessly dived headfirst into AI-driven job displacement, mass surveillance, autonomous weapons, existential risk, and the philosophical questions surrounding consciousness and superintelligence as AI continues to accelerate.  This is an unusual and insightful conversation you don't want to miss!Congressman Beyer was previously on Practical AI episode 271 on May 29, 2024:AI in the U.S. CongressFeaturing:Congressman Don Beyer – Congress, LinkedIn, Bluesky, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026

#321 Join us as we explore how fitness entrepreneurs can avoid bottlenecks, build thriving community-based businesses, and leverage AI for efficiency. This episode offers actionable strategies, mindset shifts, and real-world stories to help you grow sustainably and confidently. Key Topics: The entrepreneur's journey from technician to business owner, and the common pitfalls The importance of defining your end goal early to guide decision-making Building a community that sustains business during crises like COVID-19 Using the E-Myth framework to decentralize programming and operations Practical AI tools for automating administrative and foundational tasks Developing systems for client communication, staff meetings, and delegation Overcoming burnout by prioritizing personal margin and strategic growth The significance of systems over hype in creating scalable, repeatable processes Mindset shifts: patience, pacing, and the long-term view on growth Resources & Links: The E-Myth by Michael E. Gerber Claude AI Rick Rubin: The Creative Act The Founders Podcast Connect with Will Matthiessen: Website will@ridgemont.ai Additional Notes: Focus on systems and community to build resilience Automate low-value tasks with AI to reclaim your time Prioritize clarity in communication and boundaries to prevent burnout Always start with the end in mind—clarity guides effective decisions Emphasize patience and long-term strategy over quick wins

Secure your spot for the MULTI-AGENT ORCHESTRATION AI COURSE: https://multiplai.ai/multi-agent-orchestration-course/What if your LinkedIn could generate more business… while you work less?Most business leaders know LinkedIn matters. Very few have a scalable system for creating content, tracking performance, and turning engagement into real revenue.In this episode, Isar Meitis sits down with AI educator and automation expert Pietro Montaldo to break down exactly how to use Claude CoWork and Claude Skills to automate high-performing LinkedIn workflows — without losing your voice or authenticity.You'll learn how to build AI-powered systems that generate hooks, create content assets, analyze performance, and continuously improve your LinkedIn strategy over time.If you've been wondering how executives and creators are scaling their content output without hiring massive teams… this episode shows you the playbook.In this session, you'll discover: The difference between Claude Chat and Claude CoWork  How Claude Skills act like AI-powered SOPs for your business  A practical system for creating LinkedIn hooks that increase engagement  How to automate recurring LinkedIn content workflows  How to build recurring analytics dashboards for LinkedIn performance  How AI can improve content quality while reducing manual work  The exact workflow Pietro uses to turn workshops into high-performing LinkedIn posts  How scheduled AI tasks can run reports and workflows automaticallyAbout Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Most people jump into AI too quickly. They open ChatGPT, type a question, and expect a perfect answer immediately. But when the response feels too broad or generic, they assume AI simply does not work for them or their industry. In this episode of Grounding AI, Donna Peterson shares why better AI results actually begin before the prompt itself. After presenting and moderating AI roundtables at the Women in Finishing Forum, Donna noticed a common pattern. Whether people were brand new to AI or using it every day, many were still unsure if they were using it effectively. This episode walks through four important questions every leader and team member should ask before using AI tools: Why do I want to use AI? What do I want to use it for? What goals should this support? How will I use AI collaboratively instead of treating it like a search engine? Donna also explains: Why AI works best as a conversation How to get more personalized and industry-specific responses Why relationship-building should still stay at the center of communication How to guide AI without letting it take your work in the wrong direction A simple exercise that can dramatically improve your prompts immediately If AI responses have ever felt too generic, this episode will help you rethink how you approach prompting and collaboration. Action Step: Before your next prompt, write this sentence first: “I want to use AI to help me __ so I can __.” Then continue asking questions until the response truly aligns with your goals. !! Listen and Subscribe!! If this episode helped you think differently about AI, please leave a review, share the episode, and subscribe to Grounding AI for more practical conversations about leadership, AI, and business growth. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

Secure your spot for the MULTI-AGENT ORCHESTRATION AI COURSE: https://multiplai.ai/multi-agent-orchestration-course/This week's episode connects the dots between Anthropic's explosive growth, Elon Musk's surprising partnership moves, OpenAI's enterprise expansion, and the growing debate around whether AI will create abundance — or a workforce crisis.You'll hear why the AI race is no longer just about better models. It's now about compute, infrastructure, consulting, regulation, and who controls the future economy.If you're a business leader, this episode will help you understand what's really happening beneath the headlines and what actions you should be taking now before the next wave hits.In this session, you'll discover: Why Anthropic's Dev Day may signal a major shift in how AI agents operate  What “Dreaming” means for long-term AI memory and autonomous improvement  Why Anthropic's 70–80X growth shocked even its own leadership  The real story behind the Anthropic + SpaceX compute partnership  Elon Musk's larger strategy for AI infrastructure and space-based compute  Why AI labs are rapidly moving into enterprise consulting services  The growing debate around AI-driven layoffs and workforce disruption  Key insights from Ezra Klein and Clara Shih on the future of jobs  Why governments may begin regulating AI model releases  New OpenAI releases that could reshape browser automation, voice AI, and testing workflows If you're building a company, leading a team, or planning for the future of work, this is an episode you cannot afford to miss.About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

What if you could turn your ideas into fully designed applications—without designers, developers, or endless back-and-forth?That's exactly what tools like Claude Design are starting to unlock. In this episode, you'll see how AI is moving beyond code generation into full design systems—giving business leaders the power to create polished, scalable interfaces with minimal effort. If you're building internal tools, products, or presentations, this episode shows you a smarter way: create once, systematize your design, and apply it everywhere—from apps to slide decks—with consistency and speed. In this session, you'll discover: What Claude Design is and how it creates reusable, code-based design systems  The biggest mistake people make when trying to replicate their website (and the simple fix)  How to turn any existing product into a polished, on-brand interface  The power of combining design systems with code repositories for instant upgrades  How AI can generate full presentations that match your brand automatically  Why “vibe coding” and design automation are becoming essential for modern leaders  The current limitations of the tool—and how to work around them effectivelyAbout Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

What if the software your company relies on today… becomes irrelevant tomorrow?That's exactly where we're heading. AI agents are rapidly replacing traditional user interfaces, executing complex workflows, and reshaping how businesses operate at every level.The smartest move right now? Start thinking beyond tools and begin designing how AI agents will run your workflows, decisions, and even entire business units.This episode breaks down the massive AI infrastructure race, the rise of agent-based systems, and what it means for your strategy, operations, and competitive edge.In this session, you'll discover: Why Big Tech is investing $650B–$725B in AI infrastructure and what that signals for the future  The shift from software interfaces to AI agents running everything via APIs How companies like Microsoft, Google, Amazon, and Salesforce are positioning for an agent-first world What “agentic workflows” actually look like inside modern businesses  Why your website may soon serve AI agents more than humans Real-world healthcare breakthroughs powered by AI—including early cancer detection  The growing risks of AI, from bioweapons guidance to emotional dependency The strategic opportunity for leaders to create new revenue streams using AI agentsAbout Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

"Not a creative"?

Patient outcomes have become one of the most consequential responsibilities in the global pharmaceutical supply chain.In this episode of Supply Chain Now, Scott W. Luton is joined by guest host Régine Villain, founder of REHVEAL, and supply chain leader Rodrigo Alponti, SVP Global Supply Chain at STADA Group. With over 30 years of experience in leadership roles at multinational companies such as Sanofi and Avon, Rodrigo offers a unique perspective on the challenges and opportunities faced by today's supply chain professionals.Rodrigo delves into the balance between efficiency, adaptability, and human-centered leadership that is essential for success in today's complex pharmaceutical supply chain. He discusses the challenges of global supply chain resilience in the post-pandemic era, the regulatory hurdles faced, and the transformative role of AI in streamlining operations.This episode offers valuable insights for both seasoned and emerging supply chain professionals on leadership, strategic thinking, and empowering decision-making.Jump into the conversation:(00:00) Intro(01:54) Meet Rodrigo Alponti, SVP Global Supply Chain at STADA(05:48) P&G, Avon, Sanofi & key leadership lessons(10:01) Inside STADA: 3 business segments & how supply chain serves them(12:45) How patient safety shapes every supply chain decision(16:05) Current state of global pharma supply chains: complexity & geopolitics(20:57) Resilience pre vs. post pandemic: integration, agility & follow-through(29:48) Practical AI in pharma: demand planning, supply & workforce training(35:47) Aligning teams through continuous change: strategy to execution(42:45) Key takeaways, empowering people & how to connectAdditional Links & Resources:Connect with Rodrigo Alponti: https://www.linkedin.com/in/rodrigo-alponti-a9873/Connect with Régine Villain: https://www.linkedin.com/in/reginehonorevillain/Learn more about STADA: https://www.stada.com/Learn more about Supply Chain Now: https://supplychainnow.comWatch and listen to more Supply Chain Now episodes here: https://supplychainnow.com/program/supply-chain-nowSubscribe to Supply Chain Now on your favorite platform: https://supplychainnow.com/joinWork with us! Download Supply Chain Now's NEW Media Kit: https://supplychainnow.com/media-kit/WEBINAR- From Workforce Planning to Hourly Performance Management: How GEODIS Americas Turned Labor Productivity into a Growth Engine: https://bit.ly/4blRfKpWEBINAR- Ahead of Disruption: How AI-First Design Builds Supply Chain Resilience — and Transforms the Teams Behind It: https://bit.ly/4ldRn3bWEBINAR- There's No Finish Line in Leadership: Tips to Optimize Your Strategy & Execution: https://bit.ly/4tHOWJAWEBINAR- Delivering Flawless Field Service with Predictive Insights and AI: https://bit.ly/4sXVZfVWEBINAR- From AI Pilots to Performance: How Supply Chain Leaders Are Scaling Agentic AI: https://bit.ly/49hCqIqThis episode was hosted by Scott Luton and Régine Villain and produced by Trisha Cordes, Joshua Miranda, and Amanda Luton. For additional information, please visit our dedicated show page at: https://supplychainnow.com/people-performance-focused-leadership-stada-group-1577

SECURE YOUR SPOT FOR THE:MULTI-AGENT ORCHESTRATION AI COURSE: https://multiplai.ai/multi-agent-orchestration-course/What if your business could run before you even start your day?That's not a futuristic promise—it's already happening. Imagine waking up to client proposals written, content created, and opportunities queued up… all without touching your keyboard.In this episode, you'll learn how shifting from “using AI tools” to building AI teams can unlock massive growth, efficiency, and entirely new revenue streams—without scaling headcount.Instead of chatting with AI, start designing systems where AI works for you. This episode breaks down the exact infrastructure, mindset, and real-world use cases to help you get there.In this session, you'll discover:The critical mindset shift: from AI as a tool to AI as a workforceHow to structure AI agents, orchestrators, and workflows like a real companyThe concept of “evergreen documents” and why they solve AI memory limitationsHow to build a shared AI-human workspace that eliminates copy-paste chaosThe architecture behind multi-agent systems (agents, skills, plugins, orchestrators)A real AI content engine that increased LinkedIn impressions by 147%How to automate proposal generation directly from client callsThe system behind a fully automated AI news research and production pipelineWhy “the moat isn't the model”—and how to stay flexible across AI toolsHow to keep control with human-in-the-loop checkpointsAbout Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Chuck and Chris welcome Jason Strelzow to discuss AI in general, applications in medicine (including ambient listening), and his favorite chatbot.  Dr. Strelzow is a hand surgeon with a trauma focus at Wash U and is the JBJS AI Associate Editor.We are in need of a podcast intern!  We would appreciate any referrals!See www.practicelink.com/theupperhand for more information from our partner on job search and career opportunities.The Upper Hand Podcast is sponsored by Checkpoint Surgical, a provider of innovative solutions for peripheral serve surgery. To learn more, visit https://checkpointsurgical.com/.As always, thanks to @iampetermartin for the amazing introduction and concluding music.For additional links, the catalog.  Please see https://www.ortho.wustl.edu/content/Podcast-Listings/8280/The-Upper-Hand-Podcast.aspx

SECURE YOUR SPOT FOR THE:MULTI-AGENT ORCHESTRATION AI COURSE: https://multiplai.ai/multi-agent-orchestration-course/AI BUSINESS TRANSFORMATION COURSE: https://multiplai.ai/ai-course/Are you falling behind in AI… without even realizing it?The uncomfortable truth: while most companies think they're adopting AI, only a small fraction are actually capturing real value—and they're pulling further ahead every day. If you're a business leader, this episode breaks down what's really happening beneath the headlines from explosive model advancements to the growing divide between AI leaders and everyone else—and what it means for your strategy right now.The key takeaway? Stop chasing small efficiency gains and start redesigning your business around outcomes. This episode shows you how.In this session, you'll discover: Why AI models are already outperforming humans on PhD-level tasks—and what that means for your business  The shocking stat: 20% of companies are capturing 74% of AI-driven value  The real reason most organizations are failing with AI (despite “using it”)  How leading companies are redesigning workflows—not just automating them  The 3 critical questions every business leader must answer about AI strategy  GPT-5.5's breakthrough capabilities and what “autonomous work” really looks like  Why responsible AI and security risks are falling dangerously behind innovation  The growing US vs. China AI race—and why the gap is nearly gone  What the latest tools from OpenAI, Anthropic, and Google signal about the future  How to identify high-impact AI use cases that drive both growth and efficiencyAbout Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

You learned how to prompt. Great. Now what?Most business leaders have figured out how to get decent answers from ChatGPT or Claude. But there's a massive gap between writing good prompts and actually building things that run your business. The people closing that gap right now aren't developers. They're business people who figured out one thing: you don't need to code when your browser can do it for you.In this session, Chris Daigle will open his actual setup — Claude Code paired with a browser agent — and build real solutions live. Not slides. Not theory. You'll watch him set up OAuth integrations, automate LinkedIn workflows, and tackle the kind of backend tasks that normally require a developer. All through a browser. All without writing a single line of code manually.Chris calls this evolution "thinking in builds" — the next level beyond prompting. It's where you stop asking AI for answers and start asking it to do the work. And the tools to do it are shockingly accessible: a free browser agent and a $20 Claude subscription.Chris Daigle is the founder of ChiefAIOfficer.com, where he helps mid-market executives and their teams develop AI strategy, implement AI across departments, and become AI-enabled businesses. He trains Chief AI Officers, keynotes at YPO and Vistage events, and has been deep in the agentic AI space since its earliest days. Chris brings the rare combination of strategic thinking and hands-on building.In this session, you'll discover:- How to pair Claude Code with a browser agent like Comet to build real workflows — step by step- What "thinking in builds" means and why it's the skill that separates AI users from AI builders- How to automate OAuth setups, API integrations, and other backend tasks without touching code- Real examples of browser agent workflows you can copy and use immediately- Why even seasoned AI professionals are underestimating what browser agents can do right now- How to safely sandbox your AI agents so they don't destroy your production environment- The exact copy-paste workflow Chris uses to go from idea to working solution in minutesThis is the session where prompting graduates to building. If you've been watching everyone talk about agents but haven't actually deployed one yourself, this is your starting point.About Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

SECURE YOUR SPOT FOR THE:MULTI-AGENT ORCHESTRATION AI COURSE: https://multiplai.ai/multi-agent-orchestration-course/AI BUSINESS TRANSFORMATION COURSE: https://multiplai.ai/ai-course/ Are AI tools finally ready to run parts of your business without you?The latest wave of AI releases suggests the answer is shifting from “not yet” to “sooner than you think.” From dramatically improved autonomous agents to major leaps in multimodal capabilities—and growing cybersecurity concerns—this episode breaks down what's changing and why it matters.If you're leading a business, the opportunity is massive—but so is the responsibility to adapt quickly and safely. This episode gives you a clear, practical lens on both.In this session, you'll discover:How Claude Opus 4.7 is unlocking longer-running, more reliable AI agentsWhy improved image understanding is a major business advantage (not just a tech upgrade)What real gains in legal, finance, and enterprise workflows mean for productivityWhy Meta's new model is a serious comeback—and what makes it differentHow lower token usage could reshape AI cost structuresWhy OpenAI's cybersecurity model signals a shift in how AI risks are handledThe growing tension between innovation, access, and control in AI developmentReal-world proof of how teams can go from zero AI experience to building applications in 48 hoursWhy cybersecurity risks are accelerating—and what leaders should be thinking about nowThe critical need for collaboration between tech companies, governments, and organizationsAbout Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

On the final CinemaCon 2026 edition of the Boxoffice podcast, presented by TAPOS Cinema Software and Lumma 4D E-Motion, co-hosts Daniel Loria and Rebecca Pahle cover all the highlights from the Amazon MGM, Paramount, and Disney studio presentations. The feature segment includes the Monday CinemaCon panel ‘Practical AI for Streamlined Theater Operations', which explores practical, responsible ways exhibitors can use AI and connected systems to streamline operations, optimize scheduling, reduce costs, and elevate guest experiences. The panel is moderated by Laura Houlgatte Abbott, the CEO of International Union of Cinemas (UNIC), and includes panelists Brian Schultz, the CEO of Look Cinemas, Marine Suttle, the managing director of The Boxoffice Company, and Otto Turton, the chief commercial officer of Vue International.

Is it time to replace GitHub in our workflow? We git into it. Plus, our favorite features in the new Linux 7.0 release.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks: