Podcasts about integrating ai

Mentor Sessions Ep. 055: Sovereign Computing, AI Singularity, & Bitcoin BIP 110 Chaos with Matt HillWhat if cloud computing's hidden flaws—privacy invasion, censorship, skyrocketing costs, and inevitable hacks—are paving the way for AI overlords, rampant authoritarianism, and existential threats to humanity? In this explosive interview, Start9 Labs founder Matt Hill exposes why sovereign computing and bitcoin are the ultimate defense against Big Tech's grip, how we're already deep in the AI singularity where "no one knows what's about to happen," and the messy Bitcoin governance battle over BIP 110 that's splitting the community. Matt warns of a "global hack bloodbath" from cloud-based AI assistants stealing your life's keys, predicts software engineering's wipeout as AI democratizes power, and reveals Start9's roadmap for personal servers, routers, and local AI inference to reclaim digital freedom. Dive into Bitcoin's spam wars, where transaction filters act as rate limiters to deter attacks without consensus nukes, and why node operators hold the trump card in this technological arms race. For Bitcoiners obsessed with decentralization, self-custody, privacy tools, node running, open-source tech, and resisting centralized control, this episode is your blueprint to sovereignty in a world of surveillance and scams.About Matt Hill:Founder of Start9 Labs, pioneering sovereign computing for over six years.X: https://x.com/_MattHill_https://start9.com/Chapters:00:00:00 Teaser & Intro Clips00:01:39 Sovereign Computing Refresher00:05:26 Four Critical Flaws of Cloud Computing00:10:09 Human Vulnerabilities in Security00:10:24 Convincing People to Adopt Sovereign Tech00:13:56 Keeping Private Keys Safe00:14:18 Emerging AI Risks & Sovereign Lens00:15:59 Entering the AI Singularity00:20:05 Personal AI Assistants & Privacy Dangers00:25:02 Cloud AI Vulnerabilities Exposed00:28:39 Start9's Sovereign Computing Roadmap00:32:02 StartOS Major Update Details00:36:24 Router OS Announcement & Features00:39:43 Advanced Networking in StartOS00:40:42 Publishing Services Easily00:41:06 Integrating AI into StartOS00:43:50 AI Endgame: Express Will, Get Results00:46:38 Sovereign vs Centralized AI Futures00:50:58 Avoiding Violence Through Decentralization00:52:32 Bitcoin Development: Users vs Creators00:58:18 BIP 110 Overview & Messy Governance00:59:20 Predicting Contentious Soft Forks01:02:01 Node Operators' Political Power01:05:03 Economic Nodes Decide Bitcoin's Fate01:11:42 Dynamic Filters Proposal Explained01:17:08 Filters as Rate Limiters01:24:18 Deterring Spam with Policy Layers01:32:44 Forking as Ultimate Deterrent⚡ POWERED by Abundant Mines: Fully managed Bitcoin mining. Learn more at https://qrco.de/bgYKPB

This episode explores the deep connection between psychology, company culture, and customer experience (CX). Katie Stabler shares practical advice, real stories, and actionable insights for CX leaders. Listeners will learn why strategy, employee involvement, and communication matter more than just technology or AI.   About the guest:  Katie is a Cheshire-based customer experience specialist, keynote and the published author of the best-selling CX-ISM. Dedicated to cultivating high-value customer experience through data, design and culture, she inspires organisations to do things differently. Her work is rooted in the psychology of customer perception and built on the belief that customer experience must evolve from a strategy you implement to a movement you lead. With over a decade in experience design, Katie founded CULTIVATE Customer Experience by Design, now in its fifth year of global operations, where she supports organisations around the world to unlock meaningful, measurable and sustainable customer experience transformation.   Relevant links:  https://www.linkedin.com/in/katie-stabler-ccxp/ https://www.instagram.com/customerexperience_provocateur/   Keay Take-aways: Psychology drives CX success: Understanding feelings, memory, and perception is essential for effective customer experience. Culture is shown in tough times: True customer-centric culture appears when employees act right during challenges. Strategy beats tactics in CX: Long-term CX success needs a clear strategy, not just isolated projects or training. Chapters: 0:00 - Intro 0:35 - Game-Changing Moments in CX Career 1:22 - Book Insights: Philosophy of Customer Experience 2:48 - Bringing CX Philosophy to Life 3:37 - Understanding Psychological Elements in CX 6:01 - Growing as a CX Specialist 7:38 - Creating Customer-Centric Culture 10:44 - Integrating AI with Customer-Focused Employees 13:44 - Addressing AI's Impact on Employment 16:40 - Learning from CX Initiative Failures 19:32 - Strategic Approaches to CX Initiatives 23:09 - The True Measure of Customer Experience 23:56 - Conclusion and Final Thoughts Please, hit the follow button and leave your feedback: Apple Podcast: https://www.cxgoalkeeper.com/apple Spotify: https://www.cxgoalkeeper.com/spotify About the host: Gregorio Uglioni is a seasoned transformation leader with over 15 years of experience shaping business and digital change, consistently delivering service excellence and measurable impact. As an Associate Partner at Forward, he is recognized for his strategic vision, operational expertise, and ability to drive sustainable growth. A respected keynote speaker and host of the well-known global podcast Business Transformation Pitch with the CX Goalkeeper, Gregorio energizes and inspires organizations worldwide with his customer-centric approach to innovation. Follow Gregorio Uglioni on Linkedin: https://www.linkedin.com/in/gregorio-uglioni/  

The secret to truly enjoying your work, even in the age of AI? According to serial founder Dan Cumberland, it starts with eliminating friction and leveraging AI to become the creator you've always wanted to be. Most people think AI is just for marketing, or they make critical mistakes by relying on an individual chat's memory. In this episode, Dan dives deep into how high-earning creators and companies can implement human-centered AI systems that don't just save time, but actually help them connect more deeply with their audience and their own purpose. He shares actionable insights, practical examples, and crucial tips on how to build robust, portable context for your AI, transforming your business from the inside out.Timestamps:00:00 Introduction02:00 Simplifying email newsletters with AI automation05:07 Repurposing podcast content for TikTok09:06 The importance of bottleneck identification in AI workflows14:53 Context engineering: The foundation of effective AI use19:12 The benefits of portable AI context22:04 Crafting context documents for optimal AI output27:40 Why focusing on AI for operations is key31:03 Workflow design and the "sous chef" AI analogy35:28 Breaking down complex tasks for better AI results39:45 How AI generated content exploded traffic by 5x42:00 Utilizing Claude's skills and slash commands44:14 Integrating AI into your development environment with Cursor50:40 Optimizing idea capture systems with AI56:45 AI as a sounding board for human connection1:03:57 Redefining work in the age of AI1:08:40 Extending products with vibe-coded AI apps1:12:30 Documenting transformations for killer testimonialsIf you enjoyed this episode, please like and subscribe, share it with your friends, and leave a review. I read every single one.Learn more about the podcast: https://nathanbarry.com/showFollow Nathan:Instagram: https://www.instagram.com/nathanbarryLinkedIn: https://www.linkedin.com/in/nathanbarryX: https://twitter.com/nathanbarryYouTube: https://www.youtube.com/@thenathanbarryshowWebsite: https://nathanbarry.comKit: https://kit.comFollow Dan:LinkedIn: https://www.linkedin.com/in/dancumberlandInstagram: https://www.instagram.com/dancumberlandWebsite: https://dancumberlandlabs.comAI Growth Roundtable: https://aigrowthroundtable.comThe Meaning Movement: https://themeaningmovement.comFeatured in this episode:Kit: https://www.kit.comCursor: https://www.cursor.soWhisper Flow: https://whisperflow.ioAudio Pen: https://audiopen.aiFathom: https://fathom.videoGrain: https://grain.comZapier: https://zapier.com

So I finally convinced you that you can't ignore AI… and you're ready to implement it in your toy business. Go you. Love that for you.

In this episode of the Level Up Claims Podcast, host Galen Hair sits down with business attorney Matthew Fornaro, a commercial litigation and business law attorney who left Big Law to help small and mid-sized businesses prevent legal disasters before they start.   Matthew shares what business owners get wrong about contracts, compliance, and professional budgeting—and why DIY agreements, AI-generated contracts, and "take it or leave it" commercial leases are ticking time bombs. He also breaks down the mindset shift required to treat your business like a profession—not a hobby—and why proactive legal strategy is always cheaper than reactive litigation.   Highlights: • Why Big Law overstaffing creates hidden inefficiencies • The danger of AI-generated and DIY contracts • Common red flags in commercial leases • Why small businesses must budget for legal professionals • Proactive vs reactive legal strategy • How to build loyalty and long-term client relationships • Managing compliance before enforcement actions begin • Representing lawyers as clients (and why some can't turn it off) • Integrating AI responsibly into a law firm • What it really means to level up as a business owner   Episode Resources: • Connect with Matthew Fornaro • https://fornarolegal.com • Connect with Galen M. Hair • https://insuranceclaimhq.com • hair@hairshunnarah.com • https://levelupclaim.com/

At Consensus Hong Kong 2026, David Sencil hosts a forward-looking discussion on how artificial intelligence is transforming finance and digital systems.Featuring:- Bryan Benson (CEO, Aurum)- Tobias Bauer (Co-Founder & GP, TBV)- Yat Siu (Chairman & Co-Founder, Animoca Brands)Topics include:- AI-native financial markets- The emergence of the agentic web- Stablecoins and global financial access- Digital identity and accountability- Centralization vs decentralization- Regulation and innovationAI is no longer optional for founders or financial institutions. It is becoming foundational infrastructure.Watch the full conversation to understand where finance is heading next.00:00 Introduction to AI and Finance02:50 The Underestimation of AI's Potential05:55 AI in Retail and Institutional Finance08:53 The Future of AI Finance12:02 Democratizing Financial Literacy through AI14:55 The Role of Blockchain in AI Finance18:13 The Evolution of the Internet of Value20:53 The Agentic Web and Its Implications23:47 Challenges and Concerns in AI and Finance28:43 Navigating AI Regulation and Its Challenges34:38 The Importance of Digital Identity in AI39:04 The Intersection of AI, Politics, and Regulation44:34 Integrating AI into Business Strategies51:57 The Future of AI: Opportunities and Challenges#Bitcoin #Crypto #ai

Most marketers follow a strict rule: never send paid traffic to a homepage. Tony Bradberry and the team at Grey Matter break that rule every day. Tony joins Mason Cosby to explain how a "problem-centric" homepage can actually outperform specific landing pages when the messaging is right. He argues that if your core message resonates with the buyer's problem, the homepage should be the best place to start.ㅤThey also discuss Grey Matter's evolution into a tech-enabled ABM approach. Tony breaks down their internal "Intelligent Dossier" tool, which automates research and generates custom landing pages for individual buyers. The conversation covers how to run broad high-intent search campaigns alongside surgical, data-driven ABM programs to drive sustainable growth.ㅤGuest BioTony Bradberry is the Managing Director at Grey Matter, a customer acquisition agency based in Cincinnati, Ohio. With a background starting in inside sales and sales engineering, Tony applies an "engineering" mindset to B2B marketing. He helps technical and industrial companies modernize their go-to-market strategies by focusing on problem-solving rather than merely selling services. Under his leadership, Grey Matter has been recognized on the Inc. 5000 list for three consecutive years.ㅤWhat We CoverWhy Grey Matter sends paid ad traffic directly to their homepage instead of niche landing pages.The difference between transactional messaging and problem-centric messaging in B2B.How to use an "Intelligent Dossier" to automate account research and create buyer battle cards.Creating dynamic landing pages that automatically adapt content based on the viewer's persona (e.g., CEO vs. CFO).Integrating AI tools like HeyGen to scale personalized video outreach without losing authenticity.The importance of running high-intent search and ABM programs in parallel rather than choosing one over the other.Why data quality is the single most important factor when using AI to generate content.ㅤResources MentionedGrey MatterGrey Matter Messaging Audit ToolScrappy ABMConnect with Mason Cosby on LinkedInㅤIf you enjoyed today's...

"AI is going to be as profound as fire or electricity. Even if that's one-millionth true, we have to take it seriously." In this episode of Inside the GMAT, GMAC Zach sits down with David Marchick, Dean of the Kogod School of Business at American University, to explore how business education is being reshaped by AI, career pivots, and the skills that truly matter over a lifetime. Marchick reflects on his unconventional career path and how those experiences shape his student-first approach to leadership. He explains why "psychic income," not just financial return, drives his work in higher education, and why helping students experiment, fail, and grow outside the classroom is just as important as mastering core business fundamentals. A major focus of the conversation is Kogod's rapid and award-winning integration of artificial intelligence into every aspect of the business school—from curriculum and faculty research to operations and student learning. Marchick shares how Kogod moved quickly to embed AI literacy across disciplines, partnered with tools like Perplexity, and created a culture where experimentation with emerging technology is encouraged rather than feared. The discussion also tackles broader questions facing prospective students: how AI is changing leadership, why business degrees still matter in a non-linear career world, and how graduate education can empower creatives, career switchers, and non-traditional students to reinvent themselves. Marchick closes with advice for ambitious young professionals weighing business school, urging them to find the overlap between what they love, what they're good at, and where they're willing to keep learning—and relearning—over time. About David Marchick: David Marchick serves as Dean of the Kogod School of Business at American University. In this role, he leads the school's work to support more than 2,000 students and offer more than two dozen undergraduate and graduate degree and certification programs. He previously was an Adjunct Professor at the Tuck School of Business at Dartmouth University.  Since Marchick took on the role of Dean in August 2022, the Kogod School of Business has unveiled major initiatives in sustainability, AI and entrepreneurship; raised more than the previous 10 years combined; attracted its largest-ever first-year undergraduate class; and almost doubled the number of endowed chairs for the school. Under Marchick's leadership, Kogod faculty and staff developed and implemented what Poets & Quants called "the most consequential AI transformation in business education." Helpful links: The Kogod School of Business: https://kogod.american.edu/ AU's Institute for Applied Artificial Intelligence: https://kogod.american.edu/iaai Register for the GMAT: https://www.mba.com/exams/executive-assessment/register Chapters: 00:00 Introduction and Personal Reflections 02:29 The Evolution of Business Education 05:35 AI's Impact on Business Schools 08:30 The Importance of Communication Skills 11:35 The Changing Landscape of Graduate Education 14:10 Integrating AI into the Curriculum 17:20 Real-World Applications of AI in Education 20:22 Preparing for the Future of Work 23:15 Advice for Aspiring Business Students 26:11 Future Initiatives at Kogod School of Business

As property management faces rapid technological disruption, what happens to the businesses that refuse to adapt… or the ones that go all-in on AI and eliminate the human element entirely?  In this episode of the #DoorGrowShow, Jason and Sarah Hull sit down with Joe Oliveri in Brisbane, Australia to unpack the accelerating AI revolution and what it means for the future of property management. With over 30 years in the industry and 16 years as an international real estate business coach, Joe shares why he believes the next three years will determine which companies survive, and which disappear.  They explore the shift from traditional property manager roles to data-driven client relationship managers, how AI can transform processes like lease renewals, the risks of deepfakes and security threats, and why the winning formula will be a strategic blend of technology and human connection.   You'll Learn (00:00) Introduction to AI in Property Management  (00:40) The Evolution of Property Management  (01:58) The Impact of AI on Property Management  (05:35) Integrating AI with Human Interaction  (10:30) AI's Role in Tenant Management  (14:17) The Need for Verification in AI  (16:30) The Future of AI in Property Management  (21:44) Consequences of Ignoring AI  (25:43) Finding Balance: AI and Human Roles Growth  Quotables "If this industry does not change and truly understand AI, we're going to be irrelevant." "Three years is all we've got to make the changes."  "AI isn't something that they can go back to their office and say, we're going to build this AI. Let the experts do it." Resources DoorGrow and Scale Mastermind DoorGrow Academy DoorGrow on YouTube DoorGrowClub DoorGrowLive Transcript Jason Hull (00:00) that companies will need to be able to make to keep up and really frankly, survive. It's recording.   We can time up. Shifts in layout. Let's count. All right. You think it's going to work there or should we hold that? Well, we'll probably have to do this. All right. Cool. No introduction. Well, no. Just do it. I'm saying not the full intro that you normally do the way you read the entire thing. Just do a quick. You're not going to have all that when we're going to send it. OK. Do an intro, but you're not going to do the normal intro. All right.   Put those somewhere. Hang them on your shirt or do something. Okay. That's very Brisbane. Well you have to fit in. When in Brisbane, do like Brisbane. Right, so we are... It wasn't pretty. Okay. Five, four, three, two... If you can see the camera, it can see you.   Can you see the camera? can. You don't... can. Okay. Alright, you ready? Five, four, three, two, one. Alright, so I'm Jason Hull. This is Sarah Hull with DoorGrow and we are Hangout with Joe Oliveri. And we're in Brisbane. Brizzy. Brizzy, yeah. And you can't see but we're overlooking the beautiful city and the river right now.   And what is this, a wine room? Yeah, this is our wine cellar. Private wine cellar. Private wine cellar. Okay. And so we're going to be chatting today about AI, the future, and how that's going to impact and affect property management. So, Jill, why don't you give people a little bit of background on yourself and who you are and how you got into property management.   Yeah well that's a long story but I'll make it short. So I've been in the industry for about 30 years now so it makes me feel old when I say that. ⁓ But for the last 16 years I've been a real estate business coach and I've been lucky enough to coach people in Australia and the USA so I get a really good oversight of what's going on in the world. ⁓ But you know my focus for the last 16 years has been   where is this industry going and how can we help businesses to get there and what do need to do? So basically, yeah, for the last 30 years, I've been doing property management and yeah, I think it's exciting where it's heading and through that journey, I met you guys, which is wonderful. So yeah, yeah. Yeah, fantastic. We've been able to have you out at one of our conference events and have you speak and yeah, it's been delightful.   ⁓ I know, I mean, in 30 years, you've seen a lot of changes, but it's speeding up. Like we're in the middle of this AI revolution right now. Everything's changing dramatically. And so what are some of the things that you're noticing? And you have a process software called Thrusos, which we use to run our own operational side of our business. ⁓ What are some of the things that you are right now?   thinking are going to happen and you're trying to figure out. Yeah, well, I'm actually concerned about the future for property management in a positive way. If you can kind of like say that. Because what I'm seeing is we are going through rapid change. I remember when I started in the industry 30 years ago, we were just introducing property management software. Everyone was still using spreadsheets and you know.   paper documents and all sorts of things. ⁓ Carbon copy leases, know, that's how far back we go. And there was major pushback on property management software. And the pushback probably took about five years for the industry to completely transition to understanding you had to use software. Well, we don't have the luxury of five years anymore because my belief is it's changing so rapidly.   And it's the consumer expectations that are going to force change that if this industry does not change and truly understand AI, we're going to be irrelevant. So I believe in three years time, we're going to see completely different roles in the way that we do things. in the next, like leading up to that three years,   I believe that in the first year, we're going to see probably about 40 % of businesses starting to struggle and disappear. They're losing managements, clients are going elsewhere because they're expecting AI and seamless processes and interactions and tasking. And then that will speed up. And by the second year, we'll see 80%.   And then we'll only have a small percentages. I know this seems like doomsday, but it's a reality. Only a small percentage of existing businesses that are around today who will be around in three years time. If they do not adopt AI and AI is very broad. So they've got to understand AI, but you know, that's my belief. That's what I'm seeing as well. So yeah, you know, we've got to sit up and take notice.   Yeah. And I think a lot of the things that I've been noticing, some people kind of shift right away and some people are a little bit more reluctant to shift. Yes. And I think the ones that it's almost you need to find the balance. You don't want to go all in and all AI and you don't want to have no AI. You want to kind of find the right balance and that happy medium and really figure out what is the best way to utilize AI.   and have a human component. Because I do not believe it will be able to be all AI. I just, think when it really comes down to it, it is a relationship business. It's a human to human contact business. really when things go wrong, humans want to talk with other humans who understand. They don't want, have you ever been on the phone and you're going, agent, agent, representative, and it's not.   understanding and you're like, just get me to the human. do I, what button do I need to push? What option is it that I the human? And I think that will continue, that will prevail. However, AI is such a powerful tool that I think we just need to figure out what's the most complimentary way that the humans and the AI can interact together to provide an amazing experience so that the tenants are happy and the clients are happy and the property management business is happy.   really be able to figure out what's the best way to do this. And something that you were telling me yesterday, I went, ⁓ she is so smart for doing that. Can you talk a bit about your, ⁓ tell us first about Flusos and what it is and how it works. And then tell me what you were chatting with me about at dinner last night about what you're going in and updating in Flusos because of all of the advancements in AI that are happening.   Yeah, yeah, so you're 100 % right Sarah, you know, there will always be the human element. It's necessary. We're a service business. So people want the customer relationships. They want that person who lets them know, hey, this is all right. You know, we're going well here. But the role of the property manager has changed. There will always be a role for property managers, but not in the way that we see it today.   And that's where we've got to make that transition. But one of the simplest flows to talk about, when I talk about flows, Flusos is workflows on all of the various tasks that we do. To help people understand how AI integrates with the human side of property management is if we look at a tenancy renewal. So when we're doing that renewal, there's so much that AI can do that takes away that   you know, that personal kind of like input ⁓ into the task as in like if a property manager doesn't like a tenant, then you know, like it becomes personal. ⁓ If they do like the tenant and they've built this relationship with the tenant, where the tenant is making them feel like if the rent goes up, that the tenant will lose the home, the property manager gets too involved personally and emotionally.   So to take away that very personal and emotional element and deal in the facts, if we look at, you know, a tenant renewal, AI has the ability, and this is what we're building into Flusos. So AI has the ability to go through and say, these renewals are due. It will then look at the tenant history to say, you know, how's the tenant pay the rent on time? Let's look at the in-resident inspections that we've done and we can see that the tenants   looking after the property, abiding by the terms and conditions. Everything's going great. We can see in the system where the tenant has, you know, kind of like mentioned that they would like to renew, that their children go to the local school and they want to stay there through the primary. We've got all of this data that's built up. So AI will be able to go in and say, yeah, you know, like this tenant has mentioned they want to stay on. We look at their history. It's all good. We're also going to look at the market.   And the market is determining that we can increase the rent to this much or it stays, it remains as it is. And we should offer a lease term of this length because AI will be able to determine what's going on in that marketplace. There could be infrastructure rebuilds going on, which could push people away from moving there. You know, just because we've got infrastructure being built, there is a building period that turns people off.   So AI can look at all of that and then say, okay, this is what we should offer the tenant. Now, the property manager then looks at that and they can say, well, you know, this owner has this property as a ⁓ full-time ⁓ or permanent investment property, but we need to talk to them and say, hey, as an investment property, this is where we recommend that you, you know, take the property, increase the rent, offer renewal because of this.   ⁓ And then the owner can make a decision. Now AI jumps in, does all the lease renewals, sends off the documents, updates the system. And the property manager's next role is talking to the owner and saying, congratulations, the tenants have signed the renewal. AI has then given them updates on your property is now achieving this in comparison to market. This is what the increase means to you in terms of dollars and percentage.   And we become that voice of, you know, like ⁓ reason and congratulations and service. And the owners look to us for that because all the information that's given to them is not based on personal, ⁓ you know, thoughts on what's going on or emotion. So, yeah.   And it makes it seem either that's the thing. No, I guess not. Oh, I think they're building over there. So maybe it'll be good and yet they're supposed to build a new stadium and that'll bring in. It's really figuring out things that we just don't know what the impact will truly be. And I love that it's kind of like, OK, have the human monitor the AI and have the AI do the heavy lifting.   and then you kind of watch it, make sure it's doing the right thing, and then you get to be the human to human connection. Exactly. Let me be the one who calls the owner, but AI has done all the things for me, so it's kind of prepped it, gotten it ready, wrapped it up in a pretty package that now I can present to the owner, and I get to be almost a bearer of good news instead of the bearer of bad news. Exactly, exactly. And know, owners don't want to hear that you should renew the lease because they're a good tenant.   Well, what constitutes a good tenant? They have to pay their rent on time. They have to look after the property. They have to look after the garden. So they've got to abide by the terms and conditions. It doesn't mean they're a good tenant. So owners don't want to hear that. The owners want to hear that they've abided by the terms and conditions. So we see no reason why they shouldn't be offered a renewal. I think one of the interesting challenges that are   that's going to come with AI is that AI can make anything now. I can take a photo of you, I could use AI to make you say stuff and match your voice. And so the danger with AI is that I think we're gonna get to the point where people will only trust human in-person interactions to begin things or to end things or just, you know. And so there's gonna have to be this human element of verification unless there'll probably be some people that work this out.   like some sort of verification system. You can load it up on your phone and verify that this is a real thing that you're talking to on Zoom or something. you know, that with all the AI slop as they're calling it and all of the fake videos and it's now becoming nobody believes anything. And so it's hard to know, is this really true? Is this actually the property manager that I'm talking to that is, you know,   that I have this property and I'm the owner and you know, are they real? And so, am I giving them access? And so I think there's gonna need to be some sort of verification system in order for people to trust because people will trust, I think it'll get to the point where we'll just trust this. Like I can shake your hand, I can touch you, I you're real.   I mean, we might all be fake on the I you don't know we just took a photo and write the whole podcast and do it and yes But they're really in Ulston That's right. Yeah There's been so much that's happened with deep fakes there've been yeah millions of dollars scammed and Now there's it it's getting so aggressive   that it's recommended that if you are a human that recommends or that interacts regularly with another human, like you and your husband, for example, or you and your children, that you have a a safe word, a password, a verbal safe where if you get a phone call from what looks like and sounds like your daughter saying, mom, I'm stuck on the side of the road, please send me money, I need help, what's the word?   What's the word? And then you know if that word isn't said, that is not my daughter even though it looks like it sounds like it. And I think that's going to be something that we need to kind of incorporate as well and for that reason I agree. I think that in-person, personal relationship will be more important than ever. Yes, I agree with that and this is something that's interesting you bring that up because I always had a safe word with my children. It was given. ⁓   It's something that I think property managers take for granted. They call owners and tenants and talk about all sorts of things without any sort of security check. So, you know, like if we're talking to the banks or, you know, anyone, we get a telecode or we've got to like key in what our personal sort of verification. Exactly.   So I think that's another area, and I'm glad you brought that up because it's another area where industry has to step up. We've got to protect the data that we've got. We've got a lot of sensitive data there. So we've got to really look after that. But there will always be that human element in property management because people want to know that they're making the right decision. People want to chat about it. They want to go through and say, based on that data,   would I be wrong in increasing the rent? It's like, no, a property manager is like, that's what the market is determining. So if the market determines a rental increase, then that's what the market is saying. Holding back rent only impacts every other investor in that market. I think it'll be interesting. So I think moving forward in the future, if we start to leverage AI, but we build our processes around things.   you know, initiated in a way that it starts with a human and that sensitive touch points are done as a human and that we come up with our own verification methods, we're going to avoid some of these traps and our processes will have a longer life span. Yes, yes. You know, we won't have to, man, we have to change everything now with the, all these scammers are doing this one thing where they call up and pretend that they're you, you know.   And so, yeah, because you can go on 11 Labs right now. You can upload your little recording of your voice and then you can have your voice and you can have it say anything. so, yeah, so I think that's going to be a challenge. And I think we're going to have to figure out a way to how do you how do you on a Zoom call with a remote owner that's out of state or out of country verify that each of you are an actual   real physical human being. Somebody needs to invent that device that verifies it's like taking a blood sample. It's like they're human and it's it's like, this is the, this is actually Joe I'm talking to across the pond. So yeah. Okay. Yeah, it is important. And I think the other thing for the industry to understand is that, you know, AI isn't something that they can go back to their office and say, we're going to build this AI.   ⁓ Let the experts do it. Let the experts who understand process and know, Sarah is a real expert on process and to have that level of expertise, it takes a lot of knowledge and a lot of like building and rebuilding and understanding and it's tweaked, you know, for different companies. But you know, like they shouldn't be taking this on themselves. Let the experts do it. And when we talk about, you know, our tech.   We need tech stacks and there is a lot of different technology out there that we've got to build it all in together. Property managers can't do that. A lot of business leaders can't do it either. know, have faith in the experts. That's what I'm saying to the industry is have faith in the experts because, you know, they are doing a lot of work behind the scenes on making sure that AI is not a negative.   impact to the industry is only making our industry sustainable and relevant into the future. mean that's going to be one of the temptations and dangers is that anyone can now go create any software. can load up lovable or any of these other tools and they can say make me a CRM or make me a property management software. But yeah the problem is you then have to become some sort of expert that's constantly communicating, fixing bugs, tweaking it, figuring it out.   And if you can't or something breaks or something gets hacked, then you're at risk. Your whole business is now at risk. And yeah, so I think that, but in the future, everybody will be able to create anything. So I think the people that really thrive and survive and keep a job while AI kind of takes over, I believe will be those that are the artists.   So we're going to shift away from it being about being a nerdy programmer. It's going to be those that have this creative thinking that they can think, how can I combine these tools? How can I connect these? How can we innovate this? And that's been one of the most fun things for me in playing with AI is now I get to be an artist with building systems and building things and creating things. Cause I can create things so quickly. Whereas before I would just think about all the things I wanted to do. And I'd be like, that'd be nice if somebody made that. And I'd be like, that's way too much work.   I don't want to do that. but yeah, it's now you can just create anything and you can edit things quickly. You can have things reviewed. And so there's a lot of things that everybody's probably already using some of the AI tools right now, you know, like chat GPT and maybe Claude and perplexity and some of these things, but there's a lot of, you know, more advanced tools that are coming out that are going to make things even faster.   And now AI is building AI and things are just speeding up.   Jason Hull (22:01) is that we're gonna have a lot of tenants out of work. I think there's gonna be a lot of tenants that are like, hey, I just lost my job to AI. And so we've already replaced some roles and some functions of our team and maybe even a whole team member with some AI tools already. And so that's coming very quickly. And I think Elon Musk just said that   in the next three to five years, the best surgeons in the world will be robots. And those are high paying, high functioning jobs that people put a lot of effort into, but he says they'll be better, more accurate. And so, do you want a really seasoned, older surgeon with maybe, he's human steady level hands, or do you want somebody that has laser precision that gets it right every time that's overseen by that person?   I think the best blend is both. I want the AI laser precision with the human with all of the knowledge and experience to watch it and make sure that it's the right thing. if you did it that way, if a doctor just had a monitor, it eliminates the need for many of them. You now need one doctor to...   multiple AI robots. Because you've got beta. think everything that's going to shift, AI is going to change so many things, which is great. It's still not going to be able to, I mean, how comfortable would you feel? Open heart surgery and that's the AI robot and you go, ⁓ do I want that thing cutting me open? ⁓   What's its track record? What if it glitches? What if it breaks down? Is it going to do the right thing? it know? What is it, you know, is it programmed? What if it dies in the middle of the surgery? Does it have a battery? There's a lot of things to think about. And does it care? Right. is it, what if it that eye robot where it's scanning and going, oh, it has an 11 % chance of survival. I'm done. Well, wait a second. Hold on. Do we, you know, do we keep going? So I think everything is going to come down to a blend.   of AI and human and there's got to be both of those components. So can you maybe chat about, let's chat about kind of both ends of the spectrum here. What might happen to some property management companies that refuse to adopt AI? Where they go, I'm just not doing it. I'm not using AI. I'm staying old school. We don't want to learn anything. We don't want to do anything else. might you be a, what would you think the prediction would be on companies that just will not?   Yes. Use it. That's a really good question because we kind of saw that with what happened with these old school companies ⁓ where they refused to have anything but the property management program, you know, where you store your data. ⁓ And they eventually were out of business. I mean, I'd go into these offices and they just have   files everywhere, files covering the desk, they didn't know where anything was. But they refused to, you know, ⁓ use anything else than go to that paper file. And it was a mess. mean, how do you find paper? ⁓ So we saw those businesses gradually get out of business. They didn't have a business to sell, basically. So they might have been mighty in their day, but they were no longer mighty when technology just   over. Now that took a long time to happen in the past. It's going to be more rapid now. So those businesses that refuse to adapt or adopt AI or understand it because a lot of them think we've got AI. It's like you don't have AI. GPD does not help you to manage process better. So if they don't then   We're seeing it already Sarah and Jason. We're seeing that these companies that used to manage 500 or more managements are down to half of that and I'm selling one at the moment where they had 600 and we're just on the final figures today. They're down to 342. That's a lot of money that they've lost because they refuse to adapt new methods and they let the property managers determine   what technology they would use. Because what happens if we allow staff to determine what technology we will use, then the staff just create or justify a reason for their position. We can't do that anymore. We've got to identify the task that a property manager does. And there's much less than what, you know, they did in the past. A property manager is basically just a client relationship manager now.   They're reviewing data and interpreting that data to have conversations with the clients. And that's the way we've got to do it. And the other thing is, investors are changing too. So we're getting a lot of institutional investors. So institutional investors don't want to deal with, you know, mother head and type, you know, like, ⁓ the tenants are lovely and you know, you don't want to lose them and...   you probably can't afford to do the maintenance and things like that. Institutional investors just want the facts so they can make a decision and quite often they don't want to make a decision they want the property manager to do what's needed. And AI will determine the necessary steps so the property manager becomes that person this has been done or they can look online through their portal. in   I'm like, that's a long answer to your question. But you know, like I believe hand on heart and don't want to seem like I'm doing so sorry, I'm hitting the mic. that three years time is three years is all we've got to make the changes and to identify the tasks the property manager does. Because it's not the same anymore. I agree. And I think it's about shifting that shifting. It's about making that shift.   And then conversely, let's talk about the other end of the spectrum because, okay, if you go, you know what, I'm sold, I'm doing everything AI. I'm firing my entire team, I'm letting AI do everything and we've seen some companies try to do this before, but now there's a lot of changes and AI can do a lot of things that before was not possible. So what would you say to the companies that are gonna go all in and they're gonna do all AI? Is that the solution?   No, it's a happy blend of technology and team. So if you don't have the team there, property management is a service industry. So we have to remember that, you know, and our service is helping the clients to feel confident about decisions that they're making or instructions that they're giving. ⁓ So it is definitely a blend of ⁓ technology and team.   but the team's role has changed. please don't think you can go in there and chat GBT is going to, you know, create all the conversations and, and, know, they're going to answer the phone and, and, you know, talk to the client and record it all. No, there needs to be human element. But again, I'll go back to it's the experts that will help you create that because it's very, very difficult to understand how to blend that technology and team. ⁓   without the kind of like the team having their say in it too. A lot of business owners let the team say too much and they make decisions based on team. We've seen that, or they take a vote. A vote, yes. My team, I hear that from our clients, and they go, well my team voted and what? Your team voted? No, no, no, no. that's good. They don't ever vote. Like, yeah, you know, eliminate my job. I'll vote yes for that. Yeah, yeah. No, no.   Yeah, the challenge with team members is that they are not usually money driven the way entrepreneurs are. They're not focused on the money side of the business and they're focused on safety and security. And as AI comes, that's going to take a lot of that away. And so yeah, you don't want to have your team vote. This is, it's not like a   It's not democracy. No, this is business. I believe in democratic principles, it's the business. But yeah, you can't place the burden of decision making on people that are wired to make decisions in a way that's not conducive. Yeah, it's all about them. And, you know, like it's important to understand how the team is thinking so that you can then help them adjust to it or no.   that person's not going to come through with me. So you can make the decisions. no, know, team will always justify why they are needed in a business. Yeah. mean, the day may come with all the AI stuff and humans really, we tend to like each other. We like humans a bit. You know, we'll probably have labels on our business made with real humans. Real humans at our business and a real human answers the phone. No AI. You know, I mean, it might happen. So that could be interesting. So.   One of the things that I also though, am thinking and maybe I'm a bit of a conspiracy theorist or a little crazy, I don't know. But ⁓ when Trump went into Venezuela and extradited or took out that dictator that had taken over the government there and was causing a lot of problems, the people were very happy. But what was really interesting, what was unsaid or I didn't hear people talk about it much is the US government.   Military whatever went in had the ability they turned off all the power to the entire city There were not even backups were working everything went out and went black. Mm-hmm and That's wild to think that we have the ability to just wipe out power and electricity I don't know if it was an EMP thing or Some people say solar flares can do this and maybe the government can do this kind of stuff. Who knows but the fact that technological   data, power, electricity, all that can just shut off in an instant. How would we deal with that in a world where everything has become digital and everything has become AI? Will we have backups? Will we have keys? Will we be able to find things? ⁓ Will we know stuff? there's, think there, I mean, if that happens one time, it will be like change everything forever. Just like the pandemic changed everybody's perception forever about.  

If you're enjoying the content, please like, subscribe, and comment! Anand's Links: Website: http://panandrao.com/ Podcast: https://aixhighered.com/ UMW: https://academics.umw.edu/center-for-ai/ Anand Rao is Professor and Chair of Communication and Digital Studies at the University of Mary Washington, where he founded the Center for AI and the Liberal Arts (CAILA). He serves as a Subject Matter Expert on AI Literacy for Oxford University Press and co-hosts the "AI x Higher Ed" podcast. _______________________ Follow us! @worldxppodcast Instagram - https://bit.ly/3eoBwyr @worldxppodcast Twitter - https://bit.ly/2Oa7Bzm Spotify - http://spoti.fi/3sZAUTG YouTube - http://bit.ly/3rxDvUL #ai #genai #artificialintelligence #intelligence #university #college #education #preparation #students #professor #career #tech #technology #communication #business #subscribe #explore #explorepage #podcastshow #longformpodcast #podcasts #podcaster #podcasting #worldxppodcast #viralvideo #youtubeshorts

Thanks Pressable for supporting the podcast! What hosting should feel like...nothing! https://pressable.com/wpminute Today's episode features a clip from Eric's in-depth interview with Jason Adams. Jason is a member of the WordPress AI Team and filled us in on the team's mission, the challenges they've faced, and what's in store for WordPress 7.0. Be sure to catch the entire discussion over on our WP Minute+ podcast: https://thewpminute.com/inside-the-ai-teams-big-plans-for-wordpress-7-0/ Support our work at https://thewpminute.com/supportGet the newsletter at https://thewpminute.com/subscribe ★ Support this podcast ★

The way organizations think about artificial intelligence (AI) in the workplace has shifted dramatically over the past few years. While early conversations centered on isolated experiments and technological hype, organizations now face the much harder task of integrating AI into the fabric of how work gets done. We welcome Melissa Reeve, author of “Hyper Adaptive: Rewiring the Enterprise to Become AI Native,” to discuss what AI adoption really means for people, processes, and culture.Melissa tackles some tough questions about organizational complexity, shifting operating models, and the critical role of culture and systems thinking in successful AI integration. Listeners will get candid advice on starting small, experimenting with purpose, and preparing for the rewiring ahead. You will want to hear this episode if you are interested in...03:38 Integrating AI into organizations12:47 AI Native enterprise structure15:51 Dynamic AI governance framework18:58 AI implementation foundations23:56 Process mapping for AI integration29:44 Balancing efficiency and leadership focus37:02 Start small with value streams40:59 Innovative organizational funding models42:14 Starting a skills-focused organization47:03 Digital Twins in Product TestingNavigating the AI Revolution at WorkMelissa Reeve's journey began on the factory floors of Toyota, learning firsthand how small process shifts can drive system-wide change. Building on years of research and influence from Lean, Agile, and DevOps practitioners, Reeve authored a five-stage maturity model she calls hyperadaptive, designed to guide organizations through the incremental steps needed to become truly AI-native.The five stages of Melissa's model:Foundation – Build organizational understanding of AI; create dynamic governance structures and clarify guardrails. Optimization – Identify and optimize business processes for AI interactions; move beyond basic experimentation. Agents & Automation – Develop and manage AI agents that execute tasks and processes autonomously. Rewiring – Shift organizational architecture from rigid hierarchies to flexible, value-stream teams funded and incentivized differently. Hyperadaptive – Fully sense-and-respond organizations capable of real-time adaptation.Melissa splits these into two main categories: Basecamp (the first three stages, where most companies currently operate) and the Emerging Frontier (rewiring and hyper adaptivity).Why Organizations Struggle with AI IntegrationAccording to Melissa, most organizations are stuck because they underestimate the support structures required for successful AI adoption. It's not just about updating technology, in fact, 70-80% of AI success depends on people, culture, and processes, not algorithms. Companies often rush to deploy AI agents or experiment without a clear North Star, leading to pilot fatigue and an 80% failure rate. Many organizations haven't even finished laying the foundational groundwork, such as establishing unified governance or mapping work processes.Another common pitfall is the tendency to try everything at once. Pressure for fast results drives teams to bite off too much, resulting in burnout and costly errors.Moving from Experimentation to Purposeful TransformationPlaying with AI is not a strategy. While experimentation is necessary, organizations must put bounds on these efforts, know why they're experimenting, what hypothesis they're testing, and what success will look like.One necessary precursor is getting to grips with how your organization actually works. Many leaders lack visibility into workflows, decisions, and skillsets, making process optimization difficult. Reeve suggests collaborative process mapping—sometimes supported by AI tools—to unlock tacit knowledge and identify where AI can augment or reinvent workflows.Organizing Around Value StreamsOne of the most transformative elements is the shift from function-based silos to cross-functional value stream teams. Melissa draws on examples from Toyota, Zappos, and Unilever—organizations that reimagine workflows, funding mechanisms, and team incentives to deliver value rather than preserve hierarchy. Dynamic budgeting, focused experimentation, and flexible team structures help organizations scale AI success without tearing up everything at once.Culture, Upskilling, and Durable SuccessAI's impact will be decided by how well organizations invest in people. Unilever's Future Fit program exemplifies this approach, aligning reskilling efforts to individual purpose and business needs. It's not algorithms that set successful organizations apart, but their ability to create cultures and support systems that empower people to adapt, reinvent themselves, and thrive amidst change.Start small, experiment with purpose, invest in support structures, and prepare to rewire not just technology, but how your organization thinks about work itself. AI may be the catalyst, but people, empowered and organized around value, are the key to lasting transformation. Resources & People MentionedHyperadaptive: Rewiring the Enterprise to Become AI-Native Connect with Melissa ReeveMelissa M. Reeve on LinkedIn Connect With Red Thread ResearchWebsite: Red Thread ResearchOn LinkedInOn FacebookOn TwitterSubscribe to WORKPLACE STORIES

With most of us having had to already adjust our assessments to the age of AI, the next step on the agenda by universities is to find ways of integrating AI into our lectures, tutorials and overall learning activities. This is new territory for all of us, so we invited Dr Luke Zaphir, a former teacher in philosophy, who now is part of our faculty's AI learning design team. Luke points to a number of helpful ways in which we can take first steps in this regard, from easy examples to more elaborate ones. 

Sun Raghupathi is CoFounder and CEO of Veda.DeFi is living through interesting times: record adoption, proven infrastructure, institutional interest—but low sentiment and struggling token prices. Sun calls this "the enterprise era for DeFi," where protocols that don't have a B2B strategy for the largest financial institutions may not survive. But here's the opportunity: for the first time, DeFi is actually ready for mainstream users. In fact, Kraken just launched new DeFi Earn vaults powered by Veda, giving millions of users instant access to onchain yields without leaving the Kraken app.In this episode, we cover:+ DeFi's enormous future in enterprise partnerships and distribution+ How Veda vaults work: custody, risk management, and yield strategies+ Breaking down Kraken's new DeFi Earn vaults+ Veda's business model and path to profitability------

AI is not a tool, or is it? Reports regarding the impact of AI on jobs, society and businesses are cropping up all over the place at the moment in all corners of the world. Some of these reports are announcing forthcoming revolutions both for societies and our economies whereas others are playing down the impact of artificial intelligence, and reviving the good old Solow aka Productivity paradox (“You can see the computer age everywhere but in the productivity statistics”. follow up here and here). As a consequence, it is very hard to make an opinion, let alone advise business people and students alike with regard to what needs to be done in the future. Visionary Marketing has embarked on a mission to try and shed light on this topic in as rational and informed a way as possible. AI is not a tool, or is it? Should AI platforms become tawpayers? The great love affair of French people for taxes will not spare Artificial Intelligence Cavazza surmises. Indeed, according to him, AI is not a tool! A lot of these predictions are guided by ideology. The authors, be they proponents or opponents of AI, have a personal agenda, often political or ideological, and are trying to make facts stick to this agenda. This is not very useful. But others are based on fact and careful analysis. I have decided to focus on two of these reports/predictions. The first one is Fred Cavazza’s analysis of the impact of AI on society and the economy (original post in French), which describes Artificial Intelligence as a source of profound disruption. I have known Fred for years, and I know his deep knowledge of both subjects, which makes his report particularly valuable. With his kind permission, I have translated his piece from French to shed light on this subject. The other report is by Forrester’s JP Gownder, whom I’ll be interviewing soon. I will test Fred’s assumptions on JP and see what he has to say about this idea of disruption by AI. Hopefully, our readers, and especially my students who have a lot of pending questions about this, will be able to separate the wheat from the chaff after these two interviews and podcasts. AI is not a tool, it’s reshaping our society and economy AI can’t be seen as just another technological innovation. By establishing itself as a major driver of productivity, automation and decision-making, it’s fundamentally disrupting the economic and social balance of our society. Whilst the productivity gains brought by AI are already transforming office jobs and creating a chasm between employees who’ve embraced it and those who haven’t, a fundamental question emerges: how do we integrate these synthetic entities into our collective organisations? Between appropriate taxation, legal personality and psychological resistance, there are numerous questions to debate before we can draft a new social contract. AI IS NOT A TOOL — TLDR AI is triggering a disruption of our civilisation, it’s not just another tech breakthrough. It marks our genuine entry into the fourth industrial revolution by offloading, for the first time, human thinking and creativity to machines. AI’s productivity gains are already real and deeply uneven. A growing divide is opening up between workers who can work alongside AI and those stuck with 20th-century methods. AI agents are challenging how white-collar workers create value. Intelligent agents are transforming knowledge work, undermining certain business models and setting the stage for a rapid reshaping of office jobs. Integrating AI requires a new legal and fiscal framework. Like corporate entities, AI agents must be given a status that clarifies their responsibilities and reintegrates their value into the social contract. The socio-economic impacts reach far beyond just employment. AI affects our psychology, culture and demographics, making public debate crucial to head off looming social tensions. AI on the Davos Agenda This week, the world’s leaders are gathered at the Davos Economic Forum, and ecology isn’t on the agenda: AI, Big Tech and Trump Shine Most Brightly at the Davos Show . At Davos, the AI is not a toll debate was all the rage. Cavazza thinks that artificial intelligence will be a major disruptor not just of our exonomies but our societies too. AI is dominating every conversation, with considerations that extend far beyond technology: AI Is Poised to Take Over Language, Law and Religion, Historian Yuval Noah Harari Warns Palantir CEO says AI to make large-scale immigration obsolete “Artificial intelligence will displace so many jobs that it will eliminate the need for mass immigration” I’m not going to wade into commenting on everyone’s pronouncements, with their more or less biased viewpoints, but what’s certain is that major upheavals are on the horizon: AI and the Next Economy Nearly 80% of people feel unprepared to find a job in 2026 The AI revolution is here. Will the economy survive the transition? AI specialists are naturally the star guests at this 2026 edition of the Davos forum, invited to give their testimony and views: Deepmind and Anthropic CEOs expect AI to hit entry-level jobs and internships in 2026. Looking at it this way, it seems absurd to sit back as spectators whilst the AI revolution unfolds and do nothing to limit the fallout from this productivity shock. But not all’s lost—at least not for everyone, as countries in the global south are already gearing up for it: The AI Revolution Needs Plumbers After All. Productivity gains to be nuanced, but certainly not ignored I’ve had plenty of chances to explain generative AI’s impact (Superintelligence will multiply our capacity to act tenfold and The digital divide is a problem no one can ignore). Whilst we’re largely in agreement about what widespread generative models mean, there’s serious disagreement over the timeline for AI’s arrival. The dominant narrative keeps insisting that general AI is a pipe dream and that human intelligence is and will remain superior to machines. What is intelligence? This is precisely where ambiguities crop up: firstly, intelligence comes in many forms (Theory of multiple intelligences and What’s your intelligence type?); secondly, not all office work requires emotional or social intelligence. What I’m getting at is that most service sector jobs boil down to shuffling information and data between systems. You don’t need to be a genius to do that—AI can handle it with ease. To properly grasp the speed at which latest-generation AIs will gradually transform office jobs, I recommend you peruse the latest edition of Claude’s publisher’s macroeconomic barometer: Anthropic Economic Index 2026. Anthropic’s economis index 2026 For this fourth edition, the study’s authors analysed thousands of people’s activities using increasingly precise indicators: New building blocks for understanding AI use. This study yields several findings that demonstrate a strong progression in the adoption and capabilities of generative models. Notably, they observe an average 30% growth in Claude usage, driven mainly by the API rather than the chatbot—a sign of rapid adoption by advanced users (e.g., IT professionals) and slower uptake by ordinary users (white-collar workers using the web version). AI is not (just) a tool. As a matter of fact it’s not a tool at all, it’s a meta tool, a tool you can use to make tools.. The haves and the have nots A gap is therefore widening between those who’ve adopted new habits (working in tandem with AI) and those still working as they did in the 20th century. This gap is starting to become problematic, because the latest version of Claude (Opus 4.5) has capabilities comparable to those of an adult who’s benefited from over 14 years of education—the equivalent of a Bachelor’s degree. AI is not a tool but Clause isn’t a PHD either… yet. The question therefore is: how much longer can an employer justify paying salaries or hiring young graduates when chunks of the work can be farmed out to an AI? Whilst average productivity gains remain modest (1.8% according to the latest figures), AI’s contribution to certain tasks is absolutely spectacular: an average of 14 minutes to write a long article, versus 3 hours without AI assistance; an average of 5 minutes to analyse a complex data table, versus 1 hour 45 minutes without AI assistance. AI is not a tool, there are alo APIs You might argue this data’s skewed because these spectacular scores come from employees who are whizzes at using AI (therefore logically hyper-performers), but that’s not the case—the study covers ordinary employees with a 67% success rate for outsourced tasks. What this boils down to is that for a third of tasks, AI slashes processing time by 10 to 20 times in two-thirds of cases. If we apply some basic maths, AI can potentially triple efficiency—or to put it another way, cut the average time needed to complete a task by two-thirds. Which type of profile do you reckon managers will favour? (hint: McKinsey challenges graduates to use AI chatbot in recruitment overhaul) Soon the arrival of agentic white-collar workers Let me be clear: the productivity gains mentioned above relate to advanced AI usage, not just running searches in ChatGPT or asking Copilot to knock up meeting minutes. We’re talking about using generative models to their full potential, particularly intelligent agents (see Agentic Web: the revolution that won’t wait for you). Intelligent agents We’ve been banging on about these famous intelligent agents for a while now, but their potential only recently became blindingly obvious to ordinary employees (non-IT types) with the release of Claude Cowork, a very concrete wake-up call to the power of agentic AI: Claude Is Taking the AI World by Storm, and Even Non-Nerds Are Blown Away. AI is not a tool and Cowork is not (quite) a chatbot This awakening is shared by financial markets too, which are bracing for revenue drops at traditional software publishers, whilst one of France’s biggest IT services firms is axing jobs and European banks are preparing to follow suit: Claude’s new AI agent pushes down software stocks Capgemini plans to cut up to 2,400 jobs in France AI forecast to put 200,000 European banking jobs at risk by 2030 Adoption levels a matter for debate This isn’t a topic to take lightly, even though adoption levels are debatable (as I explained earlier, it’s not binary) and gains vary wildly (Why AI Boosts Creativity for Some Employees but Not Others). What’s undeniable is that AI agents are forcing a major rethink of how white-collar workers create value, and more broadly for tertiary sector businesses that account for three-quarters of France’s GDP. Whether you like it or not, whether you acknowledge it or not, we’re living through a civilisational shift, because AI’s arrival is turbocharging the fourth industrial revolution and unleashing upheavals whose full scope we’ve yet to grasp. Fair enough, AI is a tricky concept to get your head round (We don’t need better AI, but a better understanding of AI). Yes, tools based on generative models require behavioural changes that’ll take ages to embed. Nevertheless, it’s crucial we prepare ourselves psychologically for the coming upheavals, because if we take even the slightest step back, we quickly realise they’re already underway. AI is not just a tool: a shift beyond technology Generative AI’s arrival and the march towards the first superintelligences aren’t just another turn of the technological wheel started by computers and smartphones. We’re witnessing a civilisational shift that marks our genuine entry into the fourth industrial revolution (Waves of change: Understanding the driving force of innovation cycles). We’re not simply facing a new technological cycle, but a fundamental reshaping of economic and social foundations: for the first time, we’re offloading not physical power, but our thinking and creativity. Whether AGI arrives tomorrow or in ten years, we’re already living alongside autonomous entities capable of making decisions: synthetic agents, whether digital (AI agents) or physical (robots). This situation throws up an unprecedented question: how do we integrate artificial entities that contribute massively to wealth creation whilst guzzling significant resources into our collective framework? History offers an imperfect but revealing precedent: how we’ve gradually integrated domesticated animals. AI i not a tool: from biological analogy to legal reality Humans get along perfectly well with domesticated animals because they’ve helped shape humanity’s development: Horses served to explore territories, wage war, plough the land, transport people and goods… Dogs were used for hunting, for guarding… Insofar as animals contribute daily to our society, they benefit from services and rights: Guide dogs for the blind attend school and have status (a function = a job); Police dogs play a vital role in the fight against drugs; they’re entitled to retirement (they’re placed in a home for their old age). AI is not a tool, neither are police dogs From the moment animals make a direct contribution, they’re integrated into our society through their breeder and/or owner, who have obligations (identity tags and records for farm animals). They can benefit from protections (insurance, vaccination to fight epidemics…) and rights (laws against animal cruelty). So what about AI that contributes value just as much, if not more, to our society? Whilst it’s tempting to liken AI agents to a newly integrated species, much like domesticated animals, this analogy quickly hits ethical and legal buffers. Domesticated animals have rights because they’re sentient, conscious beings. AI, on the other hand, is an information processing system, software that has neither sentience nor consciousness. The true parallel must be drawn with corporate entities (companies). Because, like a company, an AI: contributes to wealth creation (task automation, content generation…); exploits infrastructure and consumes critical resources (energy, rare earths, cooling water…); has rights (intellectual property) and responsibilities (transparency, explainability…); acts autonomously. This is why the comparison is pertinent, as it enables us to evolve the legal and social framework. The social contract of the synthetic era: responsibility and taxation Integrating these intelligent agents into our society shouldn’t be done by granting anthropomorphic rights, which would be absurd for a computer system, but by giving them legal personality (like a company, association or local authority). The real question isn’t whether AI deserve rights, but what legal status would clarify chains of responsibility. The avenue of electronic personality, debated in the European Parliament as early as 2017, aims precisely at this objective: not to recognise dignity in machines, but to organise their integration into our jurisdiction to protect humans, ensure they benefit from it, and that this benefit is distributed fairly (avoiding an even greater concentration of wealth and power). As robots and AI agents replace human labour, they erode the base of social contributions that rests on salaries. But since they contribute to economic activity and generate costs for the community (energy consumption, electronic waste management…), there’s no reason why they shouldn’t be integrated into our tax system. This isn’t about taxing AI agents as individuals, but applying tax to the value they generate through their operation. In exchange for this contribution, the AI (or its publisher) doesn’t gain social rights (pension, healthcare), but gets a framework of civil responsibility (fiscal, legal, social). This would enable AI-caused damage to be covered without necessarily tracing responsibility back to the original developer, who’s often disconnected from what the model ends up doing. Socio-economic upheavals whose scope we don’t fully grasp Having said that, the question of AI’s place in 21st-century society mustn’t stop at economic considerations, as it extends far beyond. Domesticated animals and AI If we revisit the domesticated animal analogy, we observe today that dogs aren’t just pets; for some, they’re also considered assistance animals. The exact term is “emotional support animals”—those that give retirees or psychologically fragile people (with chronic depression) a reason to get up in the morning. The same goes for domestic robots, which are one of the pillars of Japan’s Society 5.0 programme—those that will care for the elderly with a physical presence (assisting them with daily tasks and limiting their loss of autonomy), as well as psychologically (conversing with them to exercise their memory) and emotionally (keeping them company). AI is not a tool it’s way more than that, Cavazza surmises For Westerners, this prospect is terrifying, but for the Japanese, it’s the only solution to their demographic deficit. Same in China, where parents work so hard they lack time to look after their child (vs “children”), and offer them AI-enhanced soft toys that tell them stories and answer their questions (satisfy their curiosity). Furry robots A trend that obviously came from Japan (Casio launches AI-powered furry robot pet that wants to replace your dog), but which can be experienced in the West (‘I love you too!’ My family’s creepy, unsettling week with an AI toy). You might think all this is science fiction, Black Mirror-style, yet these are techno-sociological territories that have been explored for many years (Sony’s Aibo was launched in 1999). Is philosophising about the merits of emotional support robots truly our priority? Apparently not, as there are more urgent matters. But it’s nonetheless an essential step, because let me remind you that AI adoption in Europe is rather low—not for functional or technological reasons, but purely emotional ones (strong resistance to change and major psychological barriers stemming from a misunderstanding of what AI actually is = barely 15% average enterprise adoption): EU Digital economy and society statistics. So ultimately: Yes, we need to have this conversation and debate properly so we can come to terms with the changes ahead, anticipate the upheavals that’ll severely test our social system, and start rethinking our social contract (From Web 4.0 to Society 5.0). Regulation as an integration factor Don’t panic, I’m not about to launch into a lengthy sermon on the merits of universal basic income (an economic non-starter), but I will necessarily need to talk about regulation. Indeed, living alongside synthetic agents (AI and robots) shouldn’t be thought of in terms of domestication, as with animals (to fit into our daily lives, dogs must be vaccinated and trained), but rather as regulating a synthetic workforce we can no longer afford to ignore. The issue isn’t whether robots or AI deserve a pension, but how the wealth they produce can sustain our social model whilst regulating resource consumption, which creates economic tensions (electricity prices) and geopolitical ones (China’s monopoly on rare earths). AI disrupting civilisation? That was Fred Cavazza’s account of this forthcoming civilisational revolution. In my opinion, there’s a lot of truth in Fred’s vision about the future of AI and civilisation. Some of it sounds a bit like science fiction, but so much of the real world is mimicking SF (think of Altman’s obsession with Jonze’s Her) that he might well be right. As Fred states, the impact of AI might extend way beyond the technological breakthroughs that we are witnessing. However, it’s still early stages in my mind. I can well imagine what Anthropic’s Cowork could do in the future, but I can’t see it happening now, even though I’ve been a heavy and advanced user of Claude for years. This will take time It will take time to seamlessly blend these technologies to execute proper workflows and not just tasks. Agentic software is well and truly promising, and we are even able to catch glimpses of it. However, the productivity advances enabled by these technologies are often uneven. Even for advanced users. The other day, after a one-hour and a half mentoring meeting where I delivered strategic advice, I used my usual Claude project to build a second-to-none executive summary of my recommendation as I was frying some eggs for the wife. Yet, it took three major complex steps and software suites to achieve that properly. But don’t be mistaken, we will get there someday. It’s just the timing that’s wrong; it’s not happening just yet. Innovation requires time and effort. As Fred points out, there is also a lot of resistance to change as always in innovation, and it’s not just in Europe, even though adoption is lagging behind in a traditional way on our continent. The impact of AI, even on jobs, will certainly be big, but it might take years to appear in the statistics, to put it in the words of Robert Solow. That said, Forresters' vision is more nuanced, and we will review that with JP Gownder very shortly. Time will tell whether the truth lies somewhere in the middle, as I have a hunch it does. It’s certainly less romantic or frightening (depending on your point of view), but 40 years of implementation of tech innovation has taught me to grow a stiff upper lip. The post AI is not a tool it’s reshaping our society and economy appeared first on Marketing and Innovation.

In this episode of the ATN Podcast, Oliver Thomas is joined by Ian Keough, founder of Hypar, alongside Andrew Heumann, software engineer and creator of the Human plugin, to unpack what BIM 2.0 could look like — and how automation and AI are changing architectural design.Ian brings a rare dual background in architecture and software development, while Andrew's career spans design, computation, and engineering. Together, they explore how Hypar was born out of real-world frustration with traditional tools, particularly during Ian's time at WeWork, where scale, speed, and repetition exposed the limits of conventional BIM workflows.The conversation traces Hypar's evolution from early concept to Hypar 2.0, focusing on a core philosophy: automate the boring and repetitive parts of design while keeping architects firmly in control. Rather than positioning AI as a replacement for designers, Ian and Andrew discuss how it can act as supportive infrastructure — enhancing flexibility, speed, and creative decision-making.We also dive into the realities of building architectural software:Why user experience is critical (and often overlooked)How feedback from real projects shapes the platformThe shift from consulting to product-led developmentAnd whether architecture is approaching its own “Canva moment”This episode is a must-watch for architects, computational designers, and anyone interested in the future of architectural technology, design automation, and AI-powered workflows.Andrew Heumann |   / andrew-heumann-13751414  Ian Keough |   / ian-keough-4b1ba91  Try Hypar | https://hypar.io/ATN HOST | Oliver Thomas |   / olly____t  ATN MASTERCLASS | https://archi-tech.network00:00 Introduction and Personal Updates01:30 Introduction to the ATN Podcast and Guests04:36 Backgrounds of Ian Keough & Andrew Heumann07:31 The WeWork Experience10:25 Founding Hypar13:36 The Evolution of Hypar16:31 Hypar 2.0 & Designer Control19:28 Technical & Business Evolution22:27 UX and Software Insights25:30 Automation vs Creativity28:32 Hypar Today: The Elevator Pitch37:09 Long-Term Vision40:01 The “Canva Moment” for Architecture43:41 Integrating AI into Design56:34 AI & Building Design Challenges01:00:17 From Consulting to Product01:07:20 What's Next for HyparEnjoyed the video? Be sure to like, subscribe, and share for more insights into the intersection of the Metaverse and Architecture. Don't forget to hit the bell icon to stay updated on our latest content.Like our new wall art? check out our collaborator Zaglono here:Instagram:   / zaglono  Website: https://www.pared.art/artistas/zaglono/Join the conversation on our social media platforms:INSTAGRAM |   / architech.network  LINKEDIN |   / archi-tech-network  TIKTOK |   / architech.network  EVENTS | https://linktr.ee/architech_network#hypar #BIM2.0 #Architecture #AEC #ATN #AIinDesign #BIM #architechnetwork #architecture #podcast

"The first time a customer said 'yeah, I just blue beamed it' - that was a moment."When your product becomes a verb, you know you've built something legendary.In today's episode of Bricks, Bucks & Bytes, we had Don Jacob, Co-founder of Bluebeam, and we got to learn about the wild 24-year journey from NASA's Jet Propulsion Lab to building one of the most iconic products in construction tech... and the future of AI-powered collaboration that's coming next.Tune in to find out about:✅ Why Don left the premier space agency in the world to "sell dog food online" (and how that decision led to Bluebeam)✅ The secret sauce behind Bluebeam's legendary status: "When the phone rang, we picked up" - accessibility over everything✅ How bootstrap funding became their competitive advantage and forced the discipline that built the company DNA✅ Why we're living through the 1999 internet moment all over again with AI - and how Bluebeam Max is positioning for itBonus: the story of how a random bar encounter in Boston made this whole interview happen (thanks Tanya from Nemetschek!)Don's been at this for 24 years and the energy hasn't dimmed. If anything, he's more fired up about what's ahead than ever before.Listen now on Spotify and Youtube

In this episode of the Risk Management Show, we explore "AI in Risk: Proactive Strategies Every Leader Needs," featuring Garry Singh, President of IIRIS Consulting. With over 28 years of experience in risk management, forensic analysis, and consulting, Garry shares invaluable insights on integrating AI into proactive risk strategies, balancing human judgment with machine intelligence, and navigating algorithmic bias. He discusses how AI transforms risk management from reactive to predictive, ensuring organizations stay ahead in cybersecurity, sustainability, and operational resilience. If you want to be our guest or suggest a guest, send your email to info@globalriskconsult.com with the subject line "Podcast Guest Inquiry."

Zevi Arnovitz is a product manager at Meta with no technical background who has figured out how to build and ship real products using AI. His engineering team at Meta asks him to teach them how he does what he does. In this episode, Zevi breaks down his complete AI workflow that allows non-technical people to build sophisticated products with Cursor.We discuss:1. The complete AI workflow that lets non-technical people build real products in Cursor2. How to use multiple AI models for different tasks (Claude for planning, Gemini for UI)3. Using slash commands to automate prompts4. Zevi's “peer review” technique, which uses different AI models to review each other's code5. Why this might be the best time to be a junior in tech, despite the challenging job market6. How Zevi used AI to prepare for his Meta PM interviews—Brought to you by:10Web—Vibe coding platform as an APIDX—The developer intelligence platform designed by leading researchersFramer—Build better websites faster—Episode transcript: https://www.lennysnewsletter.com/p/the-non-technical-pms-guide-to-building-with-cursor—Archive of all Lenny's Podcast transcripts:https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Zevi Arnovitz• X: https://x.com/ArnovitzZevi• LinkedIn: https://www.linkedin.com/in/zev-arnovitz• Website: https://zeviarnovitz.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Zevi Arnovitz(04:48) Zevi's background and journey into AI(07:41) Overview of Zevi's AI workflow(14:41) Screenshare: Exploring Zevi's workflow in detail(17:18) Building a feature live: StudyMate app(30:52) Executing the plan with Cursor(38:32) Using multiple AI models for code review(40:40) Personifying AI models(43:37) Peer review process(45:40) The importance of postmortems(51:05) Integrating AI in large companies(53:42) How AI has impacted the PM role(57:02) How to improve AI outputs(58:15) AI-assisted job interviews(01:02:57) Failure corner(01:06:20) Lightning round and final thoughts—Referenced:• Becoming a super IC: Lessons from 12 years as a PM individual contributor | Tal Raviv (Product Lead at Riverside): https://www.lennysnewsletter.com/p/the-super-ic-pm-tal-raviv• Wix: https://www.wix.com• Building AI Apps: From Idea to Viral in 30 Days: https://www.youtube.com/watch?v=j2w4y7pDi8w• Riley Brown on YouTube: https://www.youtube.com/channel/UCMcoud_ZW7cfxeIugBflSBw• Greg Isenberg on YouTube: https://www.youtube.com/@GregIsenberg• Bolt: https://bolt.new• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• StudyMate: https://studymate.live• Dibur2text: https://dibur2text.app• Claude: https://claude.ai• Everyone should be using Claude Code more: https://www.lennysnewsletter.com/p/everyone-should-be-using-claude-code• Bun: https://bun.com• Zustand: https://zustand.docs.pmnd.rs/getting-started/introduction• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Wispr Flow: https://wisprflow.ai• Linear: https://linear.app• Linear's secret to building beloved B2B products | Nan Yu (Head of Product): https://www.lennysnewsletter.com/p/linears-secret-to-building-beloved-b2b-products-nan-yu• Cursor Composer: https://cursor.com/blog/composer• Replit: https://replit.com• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Base44: https://base44.com• Solo founder, $80M exit, 6 months: The Base44 bootstrapped startup success story | Maor Shlomo: https://www.lennysnewsletter.com/p/the-base44-bootstrapped-startup-success-story-maor-shlomo• v0: https://v0.app• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder & CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Cursor Browser mode: https://cursor.com/docs/agent/browser• Google Antigravity: https://antigravity.google• Grok: https://grok.com• Zapier: https://zapier.com• Airtable: https://www.airtable.com• Build Your Personal PM Productivity System & AI Copilot: https://maven.com/tal-raviv/product-manager-productivity-system• The definitive guide to mastering analytical thinking interviews: https://www.lennysnewsletter.com/p/the-definitive-guide-to-mastering-f81• AI tools are overdelivering: results from our large-scale AI productivity survey: https://www.lennysnewsletter.com/p/ai-tools-are-overdelivering-results-c08• Yaara Asaf on LinkedIn: https://www.linkedin.com/in/yaarasaf• The Pitt on Prime Video: https://www.amazon.com/The-Pitt-Season-1/dp/B0DNRR8QWD• Severance on AppleTV+: https://tv.apple.com/us/show/severance/umc.cmc.1srk2goyh2q2zdxcx605w8vtx• Loom: https://www.loom.com• Cap: https://cap.so• Supercut: https://supercut.ai...References continued at: https://www.lennysnewsletter.com/p/the-non-technical-pms-guide-to-building-with-cursor—Recommended books:• The Fountainhead: https://www.amazon.com/Fountainhead-Ayn-Rand/dp/0451191153• Shoe Dog: A Memoir by the Creator of Nike: https://www.amazon.com/Shoe-Dog-Memoir-Creator-Nike/dp/1501135910• Mindset: The New Psychology of Success: https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

In this episode, Anders Hansen shares his incredible evolution from performing magic to becoming a respected leader in personal development. He describes how reading The Power of Your Subconscious Mind shifted his understanding of human potential and set him on a path that eventually led to collaborating with Bob Proctor. Anders explains how these insights inspired him to create The Secret to Real Magic, a program that has helped thousands of clients and generated more than twelve million dollars in eight years. He reinforces the importance of aligning goals with deeper fulfillment, and how many people discover that the outcomes they chase are not always the ones they truly want. Business Illusions and the Path to Growth Anders breaks down the idea of illusions in business and how hidden limiting beliefs shape the way leaders think and act. Using the example of a multi dimensional domino brick, he illustrates how the mind fills in patterns based on assumptions rather than truth. He shares the five most common illusions that hold business owners back which include hustle and hype, luck, fear, lack and limitation, and the illusion of knowledge. Anders highlights that real change requires integrating knowledge into behavior and raising personal consciousness. Michael reflects on this idea and highlights how growth often emerges from challenging seasons. The conversation reinforces that goals should be rooted in desire and identity, not just performance metrics. Breaking Limiting Beliefs and Setting Bold Goals Michael and Anders explore how leaders can overcome self imposed limits. Michael shares his own journey of challenging income ceilings he once believed were fixed. They discuss the power of intentional affirmations, identity shaping goals, and learning from multiple motivational sources. The conversation provides practical tools for addressing negative thought cycles and cultivating a mindset that supports expansive possibility. Integrating AI and Human Leadership Anders offers a grounded perspective on the future of AI and leadership. He believes AI should amplify human strengths instead of becoming a substitute for them. Emotional intelligence and inner leadership will remain at the center of all high performance work. Anders also explains why his company shifted from online coaching to live experiential events. He believes that integration and genuine connection are fundamental human needs and essential for sustaining growth. He encourages listeners to begin with a free assessment designed to reveal hidden illusions and offers tools that help shift energy to support aligned goal creation. His message is clear. Information alone does not transform. Implementation does. Leadership Resources and How to Connect To explore Anders Hansen's work further, visit Instagram or Facebook and search for Real Anders Hansen. Comment with the words Breakfast Leadership to receive additional leadership and personal development resources mentioned in the show.   Anders Hansen: The Illusionist Who Turns Transformation Into Reality Anders Hansen is more than an internationally recognized illusionist—he's a 7-figure CEO and the creative force behind Real Magic LLC. With over 20 years of stage magic fused seamlessly with world-class personal development, Anders has redefined transformation by making it tangible, entertaining, and life-changing. As a protégé of Bob Proctor, Anders co-created The Secret to Real Magic program, guiding over 10,000 people—including countless entrepreneurs—to break through limitations and unlock extraordinary results. His signature Real Magic LIVE© experience blurs the line between a show and a seminar, turning abstract concepts into unforgettable moments of clarity. To date, this work has generated more than $12M in revenue, proving that transformation can be both magical and measurable. Today, Anders' mission is simple but powerful: to help high achievers create quantum leap breakthroughs so they can live happier, healthier, and wealthier lives.

Overview: In this episode of the SMB Community Podcast, hosts James Kernan and Amy Babinchak discuss various strategies for IT professionals and MSPs to monetize AI by 2026. The conversation begins with a recount of Amy's experience with extreme weather in Michigan and swiftly transitions into the main topic - how AI can be incorporated into IT services. They explore different approaches taken by participants in Amy's AI class, ranging from AI assessments and reporting, to integrating AI into grant writing and business operations. The hosts also touch on the recent news about Microsoft integrating Anthropic's Claude into their Copilot tools, enhancing security and privacy. The episode wraps up with a teaser for next week's discussion on challenges for 2026.  --- Chapter Markers: 00:00 Introduction and Welcome  03:05 MSP Question of the Week: AI Go-to-Market Strategies for 2026  11:54 Integrating AI into Monthly Services 19:47 Challenges and Future of AI in MSPs 23:34 Conclusion and Call to Action --- New Book Release: I'm proud to announce the release of my new book, The Anthology of Cybersecurity Experts! This collection brings together 15 of the nation's top minds in cybersecurity, sharing real-world solutions to combat today's most pressing threats. Whether you're an MSP, IT leader, or simply passionate about protecting your data, this book is packed with expert advice to help you stay secure and ahead of the curve. Available now on Amazon! https://a.co/d/f2NKASI --- Sponsor Memo: Since 2006, Kernan Consulting has been through over 30 transactions in mergers & acquisitions - and just this past year, we have been involved in six (6). If you are interested in either buying, selling, or valuation information, please reach out. There is alot of activity and you can be a part of it. For more information, reach out at kernanconsulting.com

Abbie Fink talks with newly appointed PRGN President Frédéric François about his vision for the Public Relations Global Network throughout his term.Frédéric shares three key initiatives: combating misinformation and disinformation, advancing digital-first strategies among PRGN member agencies, and responsibly integrating AI into our work. By aligning agency efforts towards these goals, PRGN aims to serve as both a thought leader and a proactive force driving positive change in the public relations industry.Key Takeaways Frédéric prioritizes combating fake news to preserve democracy and enhance the integrity of public relations practices.Advancing digital-first strategies allows PRGN members to position themselves as leaders in digital communication, addressing potential gaps in digital proficiency.The role of artificial intelligence in public relations is critical, with Frédéric advocating for a strategic but responsible use of AI tools.Strategic external partnerships and internal collaborations within PRGN will be crucial to implementing Frédéric's initiatives efficiently.The 2nd annual Influence Insights survey will inform PRGN's strategies with data collected from communication directors and industry leaders on global trends and challenges.About the Guest Frédéric François is the new president of the Public Relations Global Network and Founder and Managing Partner of Two cents, a communications agency serving the Benelux region (Belgium, the Netherlands, and Luxembourg). Based in Brussels, Frédéric leads a team that supports clients with integrated PR, content and digital marketing, media buying and event-driven communication across sectors such as exhibitions, construction, interior design, tourism and ICT.Early in his career, Frédéric served as PR assistant to Belgian Prime Minister Wilfried Martens, an experience that introduced him to high-stakes political communication and media relations. He then spent nearly a decade at Brussels Expo as an exhibition organizer, focusing on sales, marketing and public relations around major trade fairs and live events. This deep exposure to the event industry shaped his enduring passion for live communication and for creating memorable experiences that connect brands with their audiences.In 2001, Frédéric founded Advanced Fair to organize trade fairs and support clients with logistics and PR across a variety of sectors. As the agency's PR work grew, he spun off and branded its communications arm as Two cents, which has since evolved into a full-service PR and communications agency. Today, Two cents combines press relations, content and communications management, media planning and digital marketing to help brands build visibility and reputation across the Benelux region.Alongside his agency leadership, Frédéric has a long-standing relationship with PRGN, one of the world's leading networks of independent PR and communications firms. After serving in roles including Secretary of the network, he was elected President, succeeding Natacha Clarac and representing Two cents and the Belgian–Dutch market within PRGN's global community. In this role he focuses on strengthening collaboration among member agencies, fostering cross-border campaigns and sharing best practices in integrated...

In Episode 350 of My EdTech Life, Dr. Alfonso “Fonz” Mendoza sits down with Lindy Hockenbary (LindyHoc), a K–12 EdTech advisor, strategist, and professional learning leader known for helping teachers make technology work for real learning. This conversation goes straight to the issues educators actually face, the “one more thing” overload, AI misconceptions, and how to move beyond AI detectors toward authentic assessments students can't fake. Lindy breaks down how AI literacy fits inside core instruction (not as a separate add-on), why we must redesign assessment to emphasize process over product, and how tools with guardrails + teacher dashboards change what “safe classroom AI use” can look like. You'll also hear why Lindy's work is especially grounded in small and rural schools, where staffing, compliance review, and budget constraints make AI adoption harder, but also more urgent.Chapters00:00 Introduction and Guest Introduction02:05 Lindy Hockenbary's Educational Journey04:57 The Impact of Technology on Education09:19 Changing Mindsets in Education11:00 Integrating AI into Core Curriculum16:42 Redesigning Assessment in the Age of AI23:37 Authenticity in Learning and AI Challenges24:24 Misconceptions About AI in Education25:52 AI Literacy and Compliance in Teaching31:58 The Impact of ChatGPT on Educators36:00 Challenges in Rural Education and AI Adoption40:39 Final Thoughts and Future DirectionsLindy's website: https://www.lindyhoc.com/Make EdTech 100 podcast page: https://www.lindyhoc.com/podcastSponsors ShoutoutThank you to our sponsors: Book Creator, Eduaide.AI, and Peel Back Education for supporting My EdTech Life.Peel Back Education exists to uncover, share, and amplify powerful, authentic stories from inside classrooms and beyond, helping educators, learners, and the wider community connect meaningfully with the people and ideas shaping education today. Authentic engagement, inclusion, and learning across the curriculum for ALL your students. Teachers love Book Creator.Support the show

Topics CoveredAI efficiency vs. AI opportunity in modern B2B orgsUse cases across Claude, Gemini, Copilot, and ChatGPTClaude for Excel outperforming native pluginsAI-powered brand visibility audits (AIO, GEO)Building MVPs from product demos using GeminiAutomating reporting and funnel analysis with ChatGPT & GeminiCustom GPTs for keyword analysis and lead quality reviewsAI system design in regulated or high-security environmentsFramework-based AI prompting for repeatable resultsTesting rigor and prompt engineering for trustable AI outputQuestions This Video Helps AnswerHow can B2B marketing teams use AI to save time and create net-new strategic opportunities?What LLM (Claude, ChatGPT, Gemini, Copilot) is best for specific tasks like Excel, brand analysis, or creative reviews?How do I know if AI-generated reporting is accurate enough to trust?What's a good prompt structure to consistently get usable output from ChatGPT or Gemini?How can I explain AIO (AI Optimization) visibility and results to executives?Jobs, Roles, and Responsibilities MentionedMarketing teamsSales teamsFinance and accounting departmentsHR and admin functionsDemand gen strategistsOperations and supply chain leadersAI consultants and systems integratorsCreative and copywriting leadsIT and cybersecurity teamsExecutive and portfolio leadershipKey TakeawaysAI tools should be evaluated by outcome, not branding—Claude may outperform Copilot in Excel.Reframing workflows to be AI-native rather than AI-assisted unlocks transformational gains.Demand marketers can use LLMs to streamline reporting, extract funnel insights, and improve creative alignment.Framework-driven prompting (like SPEC) helps generate consistent, high-trust outputs.Custom AI workflows (e.g., for lead scoring, brand checks) can scale across clients and teams without deep coding.Generative AI is a tool for internal enablement, not just public content.

●     Survival to mission driven ●       Positive Outcomes with Type 2 Diabetes  ●       Food as medicine isn't just a slogan ●       Behavior vs. willpower ●       Getting professional coaching ●       Reshaping self-image, not just changing habits. ●       How two use Insulin correctly ●       Integrating AI into personalized health coaching ●       And so much more!   Links mentioned in this episode! Show notes page: https://burnitnutrition.com/podcast191/ . . BiOptimizers - Get Magnesium Breakthrough and 10% discount with code burnit   - http://bioptimizers.com/burnit . . LMNT – Click below and get a free sample pack with your first order https://drinklmnt.com/burnit . . Learn more about Dr. John Oberg & Precina Health: Website: https://precina.com/  . . Podcast Shop Page for Best Deals at https://burnitnutrition.com/shop  . Leave me a rating & review on Apple Podcasts: https://itunes.apple.com/us/podcast/burn-it-nutrition-podcast/id1195955730?mt=2  . Follow Joseph Navarro on Instagram under @BurnitNutrition . Follow Joseph Navarro on Facebook under @BurnitNutrition . Thank You for Listening!! Please share this episode! Be the one who helps spark a transformation in your family! Feedback to share? Send email to info@BurnitNutrition.com Subscribe! Don't miss another episode! Notice of Sponsorship Affiliate Disclosure with BiOptimizers, LMNT  Fair Use Disclaimer The following podcast episode contains audio clips that are used under the doctrine of fair use as defined by United States copyright law. These clips are used for purposes of commentary, criticism, news reporting, teaching, scholarship, and research. All rights to the original audio content remain with the respective copyright holders. This use is not intended to infringe upon their rights, but to enhance the discussion and understanding of the topic at hand. Please read the full medical disclaimer  burnitnutrition.com/medical-disclaimer/

Assessing Climate RisksAs climate change accelerates, climate risks are beginning to impact every aspect of society from infrastructure and transportation to health, biodiversity, and air and water quality. A climate risk is the potential for climate change to have adverse consequences for a human or ecological system. Climate risks have implications for property and infrastructure, posing a threat to the global financial system at large. The rate at which climate change and its associated risks are increasing can be reduced through mitigation and adaptation actions such as investing in green infrastructure and implementing energy efficiency standards. The assessment of climate risk involves the identification and quantification of the potential impacts of climate change on an organization, region, or community. Many organizations utilize climate risk assessments, which involve evaluating current and future vulnerabilities to climate-related hazards, taking into account factors such as infrastructure resilience, economic stability, and social vulnerability. To quantify those impacts, assessments typically estimate the level of damage in financial terms. In order to streamline this process and make it easier for companies to identify their potential risk, riskthinking.AI has developed a platform to leverage climate change risks and impacts through AI software.Integrating AI technology into climate risk assessmentsRiskthinking.Ai integrates AI technology with climate change data to evaluate financial risk management through their development of the ClimateEarthDigitalTwin (CDT). The CDT integrates physical asset data with the latest climate projections like extreme weather and temperature shifts. Rather than using deterministic forecasts, CDT relies on probabilistic distributions to simulate a range of future scenarios and project changes in an asset's value over time. The CDT platform quantifies exposure and impacts from climate change. Riskthinking.Ai identifies which specific risk factors, such as extreme heat and floods, contribute to overall exposure. This approach can guide decision-making and help assess the complex risks posed by climate change and inform future infrastructure investments, risk mitigation, and climate adaptation strategies.Upsides to AI assessment Riskthinking.Ai enables organizations to evaluate future financial impacts of climate change, integrating climate risks into business decisions. Countries especially vulnerable to climate change may benefit from this algorithm, as it allows for a better understanding of the threats they face due to a changing climate. By providing countries, governments, and corporations with a better understanding of how they may be at risk due to their geographical location and respective climate vulnerability, AI technology can guide decision-making to inform proper adaptation and mitigation into the future. Downsides to AI assessment Although Riskthinking.Ai provides a tangible strategy in informing proper adaptation and mitigation, many argue that the use of AI technology to address environmental crises is counterintuitive due to AI's negative impacts on the environment. By 2040, it is predicted that the emissions from the Information and Communications Technology (ICT) industry will amount to 14% of global emissions, with the majority being driven through ICT infrastructure, specifically data centers and communication networks which AI relies upon to operate. In addition to the significant energy consumption required to power AI technology, a large amount of water is needed for cooling data centers. Further, AI relies on critical minerals and rare elements which are mined for unsustainability and the rapidly increasing data centers contribute to the growing body of electronic waste. However, as AI becomes increasingly applied to environmental problems, it can prove to be a valuable tool in combating climate change. Thus, working to reduce the environmental impact of AI technology will not only be vital in its application for climate risk assessments, but in mitigating the harmful effects brought about by its rapidly increasing societal demand.About our GuestDr. Ron Dembo, founder and CEO of Riskthinking.Ai, has utilized his multi-factor scenario modeling expertise to create a data platform and analytics engine for measuring and managing climate financial risk. Dr. Ron Dembo has been an Associate Professor at Yale, visiting professor at MIT, and has received many awards for his work in risk management, optimization, and climate change.ResourcesEarth Scan, What is climate risk and what does it mean for your organizationIBM, What is climate risk?NOAA, Climate Change ImpactsRiskthinking.AI, Climate Data & Analytics that Power Enterprise Risk, Research and ReportingEarth.Org, The Green Dilemma: Can AI Fulfil Its Potential Without Harming the Environment?Further ReadingMIT News, Explained: Generative AI's environmental impactNASA, The Effects of Climate ChangeUN, AI has an environmental problem. Here's what the world can do about that.For a transcript of this episode, please visit https://climatebreak.org/using-ai-for-climate-risk-assessment-with-dr-ron-dembo/. 

In this episode, Jake Sloan, VP of Global Insurance at Appian, discusses the transformative potential of agentic AI in the insurance industry.Sloan elaborates on how Appian is modernizing processes like underwriting and claims management through domain-specific AI solutions.He highlights the pitfalls of general AI models, the importance of contextual AI, and the significance of integrating AI into existing workflows.Sloan also touches on the cultural and operational changes required for effective AI adoption and the future of hyper-personalized insurance products.Practical insights into the use of AI in insurance processes are provided, along with Appian's ongoing innovations and partnerships aimed at driving industry change.--Key Moments:01:08 The Evolution of Process Automation02:23 Challenges and Opportunities in AI for Insurance03:51 Integrating AI into Existing Systems04:33 Addressing AI Hallucinations and Risk05:41 Purpose-Built AI Solutions09:36 AI Adoption and Change Management30:25 Future of Insurance with AI--Key Links:AppianConnect with Jake on LinkedInMentioned in this episode:AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you'll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.

Are you scared AI is going to replace you as a service provider? I get it—but here's the truth: AI isn't your competition, it's your co-creator. In this episode, I'm breaking down exactly how I use AI in my business (without losing my human touch), how it's helped me grow faster, create better content, and work fewer hours.We're ditching the fear-mongering and talking real strategies for service providers, social media managers, and content creators to thrive in the age of AI.Plus, you'll get a behind-the-scenes look at how I've integrated AI into my content workflows, trained my own custom GPTs, and how YOU can do the same—starting today.

Click here to sign up for a new platform that helps law firms use subscription billing.On June 17, 2025, I presented live at LegalGeek in Chicago on the topic of integrating. Here are the top 5 takeaways:* The Billable Hour Is Obsolete.* The adoption of AI tools in legal practice is making the traditional billable hour model increasingly untenable. AI enables lawyers to deliver work faster and more efficiently, aligning incentives with client value rather than time spent. Subscription and value-based pricing models are more viable and attractive for both lawyers and clients.* Purpose-Built, Legal-Specific AI Tools Are Essential.* Not all AI is created equal. General-purpose tools like ChatGPT are not reliable for legal research or fact-finding. Instead, legal professionals should use purpose-built, legal-specific AI tools (like Paxton) that leverage retrieval augmented generation (RAG) and are trained on legal data. These tools provide more accurate, reliable, and secure results.* AI Enables Access to the Latent Legal Market.* A vast portion of the legal market remains underserved due to high costs and lack of pricing transparency. AI-powered efficiencies and alternative pricing models (like subscriptions and per-page pricing) open up legal services to a much larger market, making legal help more accessible and affordable for individuals and small businesses.* Effective Use of AI Requires New Skills and Mindsets.* Lawyers must learn to interact with AI as they would with a smart, entry-level assistant: providing context, iterating, and verifying results. Prompt engineering, semantic search, and understanding the limitations and strengths of different AI tools are now essential skills for modern legal professionals.* Adoption of AI Is Now an Ethical Imperative.* With the efficiency and accuracy gains AI provides, not using these tools may be seen as failing to meet ethical obligations to clients. The legal profession is expected to adopt technology that improves client service, transparency, and value. Failing to do so could be considered exploitative or even unethical under professional rules.__________________________Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Here's a link to purchase lifetime access to the recordings of My Shingle's AI Teach-In if you couldn't make it live.I've partnered with Pii to make it easy for you to purchase the hardware I use in my law firm: (1) Studio Setup; (2) Midrange Setup; (3) Highrange Setup.Get Connected with SixFifty⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, a business and employment legal document automation tool.Sign up for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gavel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, an automation platform for law firms.Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Law Subscribed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mathew Kerbis'⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ law firm ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscription Attorney LLC⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Want to use the subscription model for your law firm? Click here to sign up for a new platform that helps law firms use subscription billing. Get full access to Law Subscribed at www.lawsubscribed.com/subscribe

There are so many conversations about AI at the moment, but this one is very different and it's a must listen because this conversation goes way beyond AI tools and prompts. I'm still buzzing from this conversation on The Debra Shepherd Podcast with Dr Nici Sweaney. This conversation is packed with experience, wisdom, insights and takeaways about AI that you need to hear. Dr Nici Sweaney is an internationally recognised leader in ethical AI, known for blending deep technical expertise with a strong commitment to equity, governance, and real-world impact. With nearly two decades of experience as a scientist, educator, and data strategist, she is the founder and CEO of Ai Her Way, a consultancy helping organisations adopt AI ethically, effectively, and sustainably. Dr Sweaney has designed and implemented AI and data-driven solutions across sectors - from government policy to conservation, education, and business. She is a Senior Fellow at the AI for Developing Countries Forum, where she contributes to global conversations on sustainable, inclusive innovation. Dr Sweaney has been featured in Forbes, ABC, MammaMia, HerCanberra, Little National Post, and is slated for the 2025 Forbes Women issue. Her insights have shaped Australia's national Responsible AI Use Guidelines and generative AI strategies in education. She has delivered over 85 keynotes and training sessions - including TEDx and presentations at the United Nations - and has been trusted by leading organisations including the World Wildlife Fund, ARIA's, Paramount+, Canon, Melbourne Cricket Ground, ANU, University of Newcastle, Hoyts, Women in Media, Learning Environments Australia, and Australian Retirement Trust. Dr Sweaney has helped more than 60 organisations streamline workflows, build internal capability, and adopt AI in ways that are not only efficient but also ethical and inclusive. Named one of Microsoft News' Top 10 Trailblazing Entrepreneurs in AI to Follow in 2024, Dr Sweaney's work is grounded in a clear belief: AI, when governed ethically, can be a tool for empowerment - not exclusion. In this episode, Dr Sweaney talks about ethical AI for purpose-driven growth.   HIGHLIGHTS Dr Sweaney shares her business story and how she founded Ai Her Way.  We have a small amount of time left to be involved in how AI is shaped.  Women and underrepresented groups have been left out of the AI conversation and what we can do now to turn this around. How large language models work and why it's important to insert friction.  What it means to use AI ethically, responsibly and meaningfully.  Using a large language model well is not dependent on the particular tool you choose.   Taking a strategic and systematic approach to AI.  Integrating AI staff members into your business and the importance of human oversight.  Dr Sweaney shares her predictions for the next 12 months.  Top three tips for leaders, entrepreneurs and businesses on how to use AI ethically and meaningfully.  Dr Sweaney talks about meaningful living and what it means to her.  Plus, more!   SHOW NOTES Get all episode show notes here:   www.debrashepherd.com.au/debra-shepherd-podcast     CONNECT WITH DR NICI SWEANEY www.aiherway.com.au Instagram @AI_Herway Join Dr Nici Sweaney's Intro to Using GenAI Course (complimentary access for listeners of The Debra Shepherd Podcast).   CONNECT WITH DEBRA www.debrashepherd.com.au Instagram @_DebraShepherd   Work With Debra

Jairek Robbins is a performance coach, investor, board member, and best-selling author. As the founder of Performance Coach University, he empowers leaders worldwide to achieve purpose-driven success in business and life. Top 3 Value Bombs 1. Grit is trainable. True mental toughness isn't inherited—it's built through consistent effort and pushing beyond your comfort zone. 2. Use AI to enhance, not replace. Integrating AI smartly into your workflow can elevate your clarity, productivity, and follow-through. 3. Busy isn't the badge—results are. High performance isn't about being constantly occupied—it's about systems, recovery, and strategic effort. Check out Jairek's website for free worksheets and tools - Jairek Robbins Website Sponsors HighLevel - The ultimate all-in-one platform for entrepreneurs, marketers, coaches, and agencies. Learn more at HighLevelFire.com. Freedom Circle - A powerful community of entrepreneurs led by JLD. Are you ready to go from idea to income in 90-days? Visit Freedom-Circle.com to learn more. Framer - Ready to design, iterate, and publish all in one tool? Start creating for free at Framer.com/design, and use code FIRE for a free month of Framer Pro! Rules and Restrictions May Apply.

In this episode of "Alter Everything," we sit down with Andrew Merrill, Alteryx product specialist and advocate, to explore best practices for integrating AI and LLMs into data analytics processes. Some topics we discuss include proven design patterns for generative AI, such as feedback loops, routing, and RAG architectures, and learn how to avoid common pitfalls like token overuse and data governance challenges. Andrew shares real-world use cases, tips for leveraging Alteryx Co-pilot, and strategies for prompt engineering to maximize workflow efficiency. Panelists: Andrew Merrill, Alteryx Consultant - @CoG, LinkedInMegan Bowers, Sr. Content Manager @ Alteryx - @MeganBowers, LinkedInShow notes: Alteryx Gen AI ToolsAlteryx Co-pilotAlteryx Inspire Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Megan Bowers, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

How many times have you told yourself that podcast will only take an hour to record? Or that client proposal? Just thirty minutes, right? Here's the uncomfortable truth every solopreneur needs to face: you're lying to yourself about how long things actually take. And that lie is keeping you trapped in operator mode instead of scaling to owner mode. The problem isn't that you're bad at time management; it's that you've never truly measured what your workflows actually require. That's where today's guest comes in with a revelation that changed everything about how he runs his business. Rich Brooks discovered that his "one-hour" podcast actually consumed three full hours of his time. But instead of throwing in the towel, he used AI to map every minute of that process and create systems that handle the heavy lifting. As the founder of Flyte New Media and host of The Agents of Change Digital Marketing Podcast with over 600 episodes, Rich has mastered the art of turning time-intensive processes into AI-powered efficiency machines. He's the perfect guide to help you stop underestimating your workflows and start building systems that actually scale. The AI Hat Podcast host Mike Allton asked Rich Brooks about: ✨ Time Truth-Telling: Discover how to accurately track where your hours really go and why most solopreneurs underestimate by 200%. ✨ AI Workflow Mapping: Learn Rich's proven process for identifying time drains and building custom AI assistants to handle repetitive tasks. ✨ Scale Without Staff: See exactly how one conversation becomes ten pieces of content through systematic AI integration. Learn more about Rich Brooks Connect with Rich Brooks on LinkedIn Resources & Brands mentioned in this episode Flyte New Media Agents of Change Scalability Audit Fathom Descript AI Solopreneur OS Community Notion AI-Powered Blueprint for Solopreneurs CHAPTERS: 00:00 Winning with Quality Over Quantity 00:19 AI-Powered Proposal Writing 02:17 Introducing The AI Hat Podcast 02:40 The Reality of Time Management for Solopreneurs 03:09 Guest Introduction: Rich Brooks 04:31 Revelation: The True Time Cost of Podcasting 07:39 Time Tracking and Workflow Optimization 10:12 Automating Podcast Production with AI 10:42 Using Text Expander for Efficiency 12:34 Integrating AI in Podcast Production 16:38 SEO and AI: Enhancing Podcast Visibility 25:28 Evaluating AI-Generated Content 26:42 Comparing Major LLMs: Chat GPT, Gemini, and Claude 27:05 Customizing AI for Your Needs 27:34 SEO and Content Repurposing Strategies 30:09 AI in Proposal Writing 33:24 Recording and Utilizing Client Calls 34:14 LinkedIn Newsletters and AI Integration 36:19 Creating Accurate AI Voice Docs 3:56 Final Thoughts and Recommendations 45:55 Conclusion and Resources SHOW TRANSCRIPT & NOTES: https://theaihat.com/stop-lying-to-yourself-how-ai-reveals-your-real-time-investment/ Feeling stuck on the solopreneur hamster wheel? Diagnose your biggest bottleneck in just 15 minutes with my free Scalability Audit. Download it now at: https://theaihat.com/download/scalability/ Produced and Hosted by Mike Allton, founder of The AI Hat. He's a Business Systems Strategist who helps overworked solopreneurs and creators stop being employees in their own businesses. After building his own successful solo ventures for over a decade, Mike now teaches entrepreneurs how to build AI-powered operational systems that reclaim their time and allow them to finally scale. Interested in being a guest? We're looking for experts who help solopreneurs build better, more scalable businesses. Reach out to Mike to learn more. Learn more about your ad choices. Visit megaphone.fm/adchoices

Puneet Mehta on LinkedInNetomiIntegrating AI into your current workflows the right way.Connect with Sam on LinkedIn - I share customer experience content multiple times a week, and love hearing from listeners with questions or ideas for topics.Subscribe to my newsletter, Customer Experience Patterns - I publish a new edition with each episode of the podcast.My LinkedIn Learning courses: Customer Experience: 6 Essential Foundations For Lasting Loyalty, How To Create Great Customer Experiences & Build A Customer-Centric Culture. In-depth video series that teach you how to create great experiences, and build customer-centric cultuers.Thanks to my talented colleague Emily Tolmer for the cover art. Thanks to my friends at Moon Island for the music. Hosted on Acast. See acast.com/privacy for more information.

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

Artificial intelligence is transforming every corner of theinvestment world — but what does that really mean for data, strategy, and decision-making? In this episode of The Alternative Investing Advantage, host Alex Perny welcomes Daniel Nikic, founder of Coras Research, to discuss how AI and machine learning are reshaping financial markets, venture capital, and risk analysis.From cleaning data sets to building machine learning models,Daniel shares his experience evaluating thousands of AI companies and explains what separates real innovation from hype. Tune in to learn how AI impacts investing, cybersecurity, and emerging industries, and what investors should prepare for as automation continues to evolve.00:00 Introduction to AI in Investment Strategies01:55 Daniel Nikic's Journey into AI and Data06:30 The Evolution of AI and Data Utilization16:45 AI's Role in Financial Markets20:28 AI Applications in Various Industries24:01 Integrating AI in Venture Capital Decision Making28:38 The Role of AI in Decision Making30:16 Human Interaction and AI Limitations34:01 Adoption and Correction in AI Implementation36:28 Investment Trends in AI40:03 Data Security and AI45:53 Ancillary Industries in the AI Boom51:25 Concerns and Opportunities in AI's FutureSubscribe to our YouTube channel and join our growing community for new videos every week.If you are interested in being a podcast guest speaker or have questions, contact us at ⁠⁠⁠⁠⁠⁠⁠⁠Podcast@AdvantaIRA.com⁠⁠⁠⁠⁠⁠⁠⁠.Learn more about our guest, Daniel Nikic: https://www.linkedin.com/in/daniel-nikic/?originalSubdomain=hrLearn more about Advanta IRA: https://www.AdvantaIRA.com/ https://podcasters.spotify.com/pod/show/advanta-irahttps://www.linkedin.com/company/Advanta-IRA/https://twitter.com/AdvantaIRA https://www.facebook.com/AdvantaIRA/ https://www.instagram.com/AdvantaIRA/The Alternative Investing Advantage is brought to you by Advanta IRA.Advanta IRA does not offer investment, tax, or legal advice nor do we endorse any products, investments, or companies that offer such advice and/or investments. This includes any investments promoted or discussed during the podcast as neither Advanta IRA nor its employees, have reviewed or vetted any investments, persons, or companies that may discuss their services during this podcast.  All parties are strongly encouraged to perform their own due diligence and consult with the appropriate professional(s) before entering into any type of investment.#AIInvesting #MachineLearning #Fintech #AlternativeInvesting#DataDrivenDecisions #Cybersecurity #ArtificialIntelligence #AdvantaIRA#InvestmentStrategy #AIFuture

My Fintech Newsletter for more interviews and the latest insights:↪︎ https://rexsalisbury.substack.com/In this episode, Anthropic's Nicholas Lin explains how vertical AI agents are reshaping financial services, from building real-time investment models to automating data analysis for some of the world's largest funds. We explore why finance was chosen as Anthropic's first enterprise vertical, the challenges and benchmarks in deploying safe, reliable AI, and how large organizations are integrating these tools across research and operations. Nicholas Lin also shares insights on the next era of AI adoption, collaboration with global partners, and the future role of financial analysts in an agent-powered economy.Nicholas Lin.: https://www.linkedin.com/in/cxl/00:00:00 - Anthropic demos real-time AI financial analyst00:00:39 - Claude's rollout to global enterprise clients00:01:27 - Why verticalize AI models for finance00:02:36 - AI as a solution for complex industry problems00:03:46 - Tackling regulated logic and audit trails00:05:07 - Building “retrieve, analyze, create” agents00:07:11 - Outperforming on industry research benchmarks00:09:13 - Integrating AI with customer feedback loops00:10:14 - Why AI-enabled spreadsheets matter00:13:03 - Partnering with sovereign wealth funds00:15:10 - Data integration and readiness for AI00:17:13 - Changing workflows with live artifacts00:20:04 - Customizing tools for technical teams00:23:19 - Driving product development with design partners00:25:12 - Future of “full-stack” autonomous agents00:27:33 - Solving adoption and change management00:29:01 - Enterprise-wide AI from consulting to accounting00:30:53 - Most bankers still lack AI access00:32:40 - Social impact of automating analyst work00:34:31 - Favorite AI and finance tools00:36:43 - The next wave of AI advances at Anthropic___Rex Salisbury LinkedIn:↪︎ https://www.linkedin.com/in/rexsalisburyTwitter: https://twitter.com/rexsalisburyTikTok: https://www.tiktok.com/@rex.salisburyInstagram: https://www.instagram.com/rexsalisbury/

AI is no longer a futuristic concept. It's our present reality, impacting every industry and business. In this episode of Ambitious, I emphasize the critical shift from quantity to quality in content creation, highlighting the importance of brand voice and personalization in marketing. While AI can boost efficiency and idea generation, true connection and sales conversion hinge on emotional resonance and discernment that only humans can provide. Join me as I break down how to integrate AI seamlessly into your marketing, sales, and delivery processes without losing the human touch. This episode serves as a practical handbook for staying current with AI advancements and preparing for future trends. Next week, we'll explore predictions for AI and how to stay ahead of the curve. If AI feels overwhelming, consider this your invitation to embrace its potential and revolutionize your business.00:39 Introduction01:06 Current AI Trends in Business02:45 Marketing in the AI Era04:24 The Importance of Quality Content08:35 Leveraging AI for Marketing Efficiency15:10 AI in Sales: Speed and Personalization22:56 Balancing Automation and Human Touch in Sales27:39 AI's Impact on Business Delivery28:13 Leveraging AI for Business Efficiency32:28 Integrating AI in Business Operations35:56 Frameworks for Consistent Client Outcomes45:06 Creating an Experience Around Your Product50:15 Preparing for the Future of AITo join the Ambitious Network for free, click HERE. To connect with Kate on Instagram, click ⁠HERE⁠. To apply for ITI, click ⁠HERE⁠.To submit a question to be answered on the podcast, click HERE.

AI is no longer a futuristic concept. It's our present reality, impacting every industry and business. In this episode of Ambitious, I emphasize the critical shift from quantity to quality in content creation, highlighting the importance of brand voice and personalization in marketing. While AI can boost efficiency and idea generation, true connection and sales conversion hinge on emotional resonance and discernment that only humans can provide. Join me as I break down how to integrate AI seamlessly into your marketing, sales, and delivery processes without losing the human touch. This episode serves as a practical handbook for staying current with AI advancements and preparing for future trends. Next week, we'll explore predictions for AI and how to stay ahead of the curve. If AI feels overwhelming, consider this your invitation to embrace its potential and revolutionize your business.00:39 Introduction01:06 Current AI Trends in Business02:45 Marketing in the AI Era04:24 The Importance of Quality Content08:35 Leveraging AI for Marketing Efficiency15:10 AI in Sales: Speed and Personalization22:56 Balancing Automation and Human Touch in Sales27:39 AI's Impact on Business Delivery28:13 Leveraging AI for Business Efficiency32:28 Integrating AI in Business Operations35:56 Frameworks for Consistent Client Outcomes45:06 Creating an Experience Around Your Product50:15 Preparing for the Future of AITo join the Ambitious Network for free, click HERE. To connect with Kate on Instagram, click ⁠HERE⁠. To apply for ITI, click ⁠HERE⁠.To submit a question to be answered on the podcast, click HERE.

This series of Voices of Student Success focuses on the use of generative artificial intelligence in higher education and how technology can support student success goals.  A 2025 Inside Higher Ed survey of college provosts found that nearly 30 percent of respondents have reviewed curriculum to ensure that it will prepare students for AI in the workplace, and an additional 63 percent say they have plans to review curriculum for this purpose.   Touro University in New York was an early adopter of AI-powered tools for experiential learning, encouraging faculty to integrate AI simulations into academic programs to advance students' career success.    In the latest episode of Voices of Student Success, Shlomo Argamon, associate provost for artificial intelligence at Touro, discusses the university policy for AI in the classroom, the need for faculty and staff development around AI and the risks of gamification of education.   Hosted by Inside Higher Ed Student Success reporter Ashley Mowreader, this episode is sponsored by TimelyCare.  Read a transcript of the podcast here. 

Shensi Ding is the CEO and co-founder of Merge, a unified API platform that helps companies connect existing apps and systems with AI. Integrating AI offers many benefits: enhancing performance, automating tasks, and improving decision-making. But as Shensi points out, it's not without looming challenges. Product leaders often wonder, Are my data and systems compatible … The post 175 / Seamless AI Integration: Challenges and Opportunities, with Shensi Ding appeared first on ITX Corp..

I invited my friend Sigourney Belle to explore the real transformation that happens when we move from maiden to mother—and why it's a physiological, neurological, and spiritual awakening. Together we name the power of matrescence, the rise of heightened instinct, and the shadow of fear that can surface in pregnancy. Sigourney shares how unexpected challenges late in her pregnancy dismantled old structures, and how she rebuilt her life with deeper trust in her body's wisdom—ultimately birthing Soma Mystica as a bridge between modern medicine and mystical insight.We go deep into somatic healing: what field intelligence feels like in real time, why co-regulation and therapeutic touch matter, and how practitioners must master state entrainment so their nervous systems become safe, attuned instruments. I share the practices I lean on to anchor presence, while Sigourney offers trauma-informed perspectives that make intuition practical—so we can listen to the body's signals without getting swept by them.From parenting to education, we explore cultivating a child's unique genius, unshaming early body education, and making aligned schooling choices—from Steiner to Green School Bali. We talk about raising embodied, sovereign kids who can sense their own boundaries and creativity, and how intuitive leadership at home starts with our capacity to feel, name, and navigate our inner states.Sigourney also opens up about co-parenting, dating after birth, and building a slower, more strategic business that supports motherhood and creativity. This conversation is an invitation to widen what we believe is possible—inside our bodies, our relationships, and the ecosystems we steward—so that healing becomes not just personal, but profoundly relational and generational. [b]Chapters[/b]0:00 - Sigourney Belle's Transition to Motherhood5:44 - Balancing Motherhood and Creativity8:41 - Cultivating Genius in Your Child13:45 - Deciding Your Child's Educational Path21:25 - Teaching Children About Sexuality24:43 - Healthy Conversations on Sexuality26:43 - Healing Trauma with Soma Mystica37:35 - Integrating AI in Energy Medicine40:53 - The Importance of Human Touch45:53 - Navigating Relationships After Motherhood49:30 - Fertility and Planning for More Children52:49 - Future Plans: A Life in Bali57:27 - Sigourney Belle's Upcoming Projects

Dominic Gannaway joins us to talk about Ripple.js, a new TypeScript-first UI framework built with its own templating language and a focus on clarity and reactivity. We explore how Ripple.js handles fine-grained updates through its track and block system, why it avoids global state, and how context plays a key role. Dominic also walks us through the developer experience, from the language server and VS Code integration to syntax highlighting and the Prettier plugin, plus how the framework handles error boundaries, server-side rendering, future plans, and more. Links Twitter: https://x.com/trueadm Github: https://github.com/trueadm LinkedIn: https://www.linkedin.com/in/dominic-gannaway-414b7750 Resources RippleJS GitHub: https://ripplejs.github.io RippleJS website: https://www.ripplejs.com/ We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey (https://t.co/oKVAEXipxu)! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com (mailto:elizabeth.becz@logrocket.com), or tweet at us at PodRocketPod (https://twitter.com/PodRocketpod). Check out our newsletter (https://blog.logrocket.com/the-replay-newsletter/)! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form (https://podrocket.logrocket.com/get-podrocket-stickers), and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. (https://logrocket.com/signup/?pdr) Chapters 00:00 – Intro & What is RippleJS 01:00 – The Origins and Naming of Ripple 02:00 – A New UI Framework Built on TypeScript 03:30 – Creating a Custom Language and Templating System 05:00 – Building Ripple's Tooling and Language Server 06:00 – The Team, Open Source Growth, and Early Feedback 07:00 – From UI Framework to Meta Framework 09:00 – Integrating AI into the Dev Server 10:30 – Handling Controversy and Changing the Status Quo 11:30 – How Ripple Was Built in a Week 13:00 – Redesigning the Reactivity System 16:00 – Why Ripple Doesn't Use Global State 19:00 – Lessons Learned from Other Frameworks 21:00 – Naming Conventions and API Design Decisions 22:30 – Error Boundaries and Async Patterns in Ripple 24:00 – Accessibility and ByteDance Native App Integration 25:00 – The Team's Workflow and Contributor Culture 27:00 – Building TypeScript-First from Scratch 29:00 – Language Server, Source Maps, and VS Code Integration 31:00 – Building in Public and Open Source Collaboration 32:30 – The Future of Frontend Frameworks 34:00 – How Ripple's Ideas Might Influence Others 35:00 – AI, Security, and the Road Ahead 36:00 – Closing Thoughts & How to Get Involved

In this episode of Longevity by Design, host Gil Blander sits down with Florence Comite, MD, physician-scientist and founder of the Comite Center for Precision Medicine & Healthy Longevity. They explore why a one-size-fits-all approach to longevity falls short and how personalized data, from biomarkers to genetics, can spot early signs of disease before symptoms appear.Florence explains her “Nof1” method, which uses deep testing, wearables, and personal history to craft precise health plans. She highlights how sleep, more than exercise or diet, shapes long-term health but remains hard for most people to optimize. Using real-world examples, Florence shows why tracking markers like insulin and hormones matter, and why most people need support to turn health knowledge into action.The conversation covers the limits of standard medical care, the value of knowing your family history, and how even the best routines must adapt over time. Florence urges listeners to get curious about their own data and take steps—however small—toward better health.Guest-at-a-Glance 

Employee engagement is rapidly becoming one of the most powerful forces shaping corporate philanthropy today. And skilled volunteerism—where employees contribute their professional expertise to nonprofits—can transform both the organizations served and the employees themselves.We invited Lauren Coape-Arnold, Executive Director of the Apollo Opportunity Foundation (AOF) and Global Head of Citizenship at Apollo Global Management, to speak about how AOF built a model that puts employees at the very heart of the company's philanthropy. It empowers employees to nominate, evaluate, and partner with grantees, ensuring that they are engaged throughout the entire relationship—not just at the funding stage. Through cross-functional “deal teams,” employees apply their analytical, financial, and strategic skills to help nonprofits thrive, all while cultivating collaboration and leadership within Apollo's culture. By structuring philanthropy around its people, AOF creates a cycle of giving and growth that benefits communities, strengthens performance, and deepens employees' sense of meaning at work.Listen for insights on:Establishing relationships with grantees that go beyond check-writingBuilding skilled volunteer programs employees actively want to joinCreating successful grant councils that bolster nonprofits and engage employees Resources + Links:Lauren Coape-Arnold's LinkedInApollo Opportunity Foundation (00:00) - Welcome to Purpose 360 (00:13) - Lauren Coape-Arnold and Apollo Opportunity Foundation (03:02) - Lauren's Background (05:40) - Apollo (06:29) - Creating the Foundation (08:39) - The Guardrails (10:12) - Picking the Focus (13:24) - Employee Focus (16:11) - How It's Done (19:10) - Skills-Based (19:53) - Deal Teams (21:28) - Impact (23:03) - Logistics (24:03) - GAIN UK (26:52) - Advice (28:47) - Review Process (29:51) - Integrating AI (31:51) - Last Word (33:00) - Wrap Up

Math educator and AI pioneer, Professor Ved, explores how artificial intelligence can support early learning without replacing the human touch. He unpacks the power of math education in building confidence and problem-solving skills, and introduces the concept of a “super growth engine” fueled by practice, progress, and curiosity. Professor Ved shares how AI can personalize learning by identifying strengths and gaps, but emphasizes that parents must remain actively involved in the process.

In this episode of the Gladden Longevity Podcast, Dr. Jeffrey Gladden and Dr. John Oberg discuss innovative approaches to health care, particularly in managing chronic diseases like type 2 diabetes. They explore the importance of behavioral change, the integration of mental health into medical care, and the role of AI in enhancing patient outcomes. The conversation emphasizes the need for personalized, small changes in patient care and the potential for scaling these innovations to improve health care systems globally.   For Audience ·       Use code 'Podcast10' to get 10% OFF on any of our supplements at https://gladdenlongevityshop.com/ !    Takeaways ·       The journey into health care often begins with personal experiences. ·       Behavioral change is crucial for managing chronic diseases. ·       Integrating mental health support can significantly improve patient outcomes. ·       Small, actionable changes can lead to significant health improvements. ·       AI can enhance patient care without replacing the human element. ·       Collaboration among health care providers is essential for effective treatment. ·       Empowering patients through education and support is key to success. ·       Scaling health innovations can lead to broader societal impacts. ·       Chronic disease management requires a multifaceted approach. ·       Hope and positive narratives can drive patient engagement and success.   Chapters 00:00 Introduction to Behavioral Change in Healthcare 04:59 The Journey into Healthcare and Diabetes Management 07:40 Understanding Behavioral Change and Patient Engagement 10:39 The Role of Mental Health in Chronic Disease Management 13:39 Innovative Approaches to Patient Care 16:24 Integrating AI and Technology in Healthcare 19:10 Scaling Solutions for Chronic Metabolic Diseases 22:09 Future Directions and Community Impact   To learn more about Dr. John Oberg: LinkedIn: https://linkedin.com/in/johnoberg Website: https://precina.com, https://talesofabundance.com Facebook: https://www.facebook.com/precinahealth Got a question for Dr. Gladden? Submit it using the link below and it might be answered in our next Q&A episode! https://form.typeform.com/to/tIyzUai7? Reach out to us at:    Website: https://gladdenlongevity.com/     Facebook: https://www.facebook.com/Gladdenlongevity/    Instagram: https://www.instagram.com/gladdenlongevity/?hl=en     LinkedIn: https://www.linkedin.com/company/gladdenlongevity    YouTube: https://www.youtube.com/channel/UC5_q8nexY4K5ilgFnKm7naw    

Join the Imagen Community on Facebook to continue the discussions between episodes.In this episode of Workflows, Scott Wyden Kivowitz welcomes wedding photographer Miles Witt Boyer, who shares behind-the-scenes stories, his approach to building lasting relationships with clients and vendors, and practical tips for optimizing every stage of the photography workflow.Miles Witt Boyer is an international wedding and portrait photographer, educator, and founder of The Photographic Collective. Recognized for his cinematic storytelling and deep human connection, his work has spanned nearly 40 states and countries. A former professor, marketing consultant, and mentor, he is also a husband and father of two sons.You'll learn how Miles shifted from reactive to proactive service in wedding photography, the secret sauce behind his client prep, and how AI editing tools like Imagen allow him to focus on what matters most, artistic quality and meaningful moments. Not only does he reveal workflow wins, but he also gets honest about challenges like diversifying client leads and building resilient business strategies.“If we want to give our clientele a level of service that is much higher than what's expected, and then by doing that, want to be able to charge considerably more than what is average, that has to start early.” — Miles Witt BoyerResourcesIconic AI ProfilePic-TimeB&H's BILD ExpoWhy You Should ListenGain real-world strategies for improving your wedding photography workflow from a seasoned pro.Hear how top photographers are using AI tools like Imagen to save time and focus on creativity.Get tips on building trust with clients and collaborating with vendors for unforgettable wedding days.Learn honest approaches to overcoming business challenges in today's competitive photography market.Discover why a proactive workflow pays off, for your art, your clients, and your sanity.Don't miss this episode if you want to sharpen your photography workflow, spend more time behind the camera, and serve your clients better. Subscribe to Workflows wherever you listen and visit workflowspodcast.com for exclusive offers and more resources.(00:00) - 68 (00:25) - Experiences at BILD Expo (04:59) - Special Moments and Challenges (10:05) - Team Integration and Dinner Highlights (11:18) - Upcoming Topics and Workflow Discussion (11:53) - Pre-Production Workflow Enhancements (14:52) - Client and Vendor Collaboration (23:35) - Impact of AI Editing on Workflow (24:47) - The Power of AI in Photography (25:29) - Evolution of Photography Tools (26:23) - Integrating AI with Traditional Editing (28:33) - Real-World Application: New York photowalk (31:22) - The Importance of Adapting to AI (42:29) - Diversifying Client Sources and Revenue Streams (47:38) - Final Thoughts and Advice for Photographers

What happens when a digital innovator decides to reimagine how companies harness the power of AI and innovation? In this episode of Predictable B2B Success, host Vinay Koshy speaks with Matt Leta, CEO of FutureWorks, bestselling author of The Leap Guide, and a trailblazer in building digital products for giants like Apple and Google. Matt shares the gripping journey behind FutureWorks, revealing how a dramatic startup exit, a global adventure, and experiments with remote teams reshaped his vision for the future of work. Discover why Matt believes innovation has lost its meaning—and how he's redefining it to drive tangible results. You'll hear fascinating case studies, including how a solar tech company used AI-powered systems to save thousands of work hours, and why the real key to successful digital transformation starts with empowering every employee—not just the R&D team. Curious about how the Leap framework builds a culture of innovation in just one hour a week? Or why Matt thinks real competitive edge comes from integrating trust and diversity into your AI strategy? Tune in for practical insights, stories from the field, and provocative ideas to accelerate revenue growth through next-gen innovation. Don't miss this episode if you want your business to thrive in the age of AI. Some areas we explore in this episode include: Founding and Evolution of FutureWorks – Matt shares how and why he started FutureWorks and navigated company pivots.Understanding and Defining Innovation – How innovation is defined, distinguished from other terms, and why clarity is important.Integrating AI into Business Operations – Practical ways companies can embrace AI and next-gen digital transformation.The LEAP Framework – Detailed explanation of the LEAP methodology and its components.Creating Innovation Culture – Why Innovation Should Be Organization-Wide Rather Than Just an R&D Initiative.Client Success Stories – Examples like Next Tracker showing the business impact of digital innovation.Leadership and Execution – The importance of innovation champions and starting small but persistently.Measuring ROI and Results – How to track success, and Matt's emphasis on substantial, not incremental, ROI.Learning from Failure – Embracing and learning from setbacks as part of the innovation journey.Global Experience and Community Building – How Matt's worldwide experiences and his Future Horizon community shape his innovation insights.And much, much more...

In Episode 90 of the Digital Velocity Podcast, Erik Martinez speaks with Lucas Petty, founder and CEO of AI Daddy, about how companies can strategically integrate artificial intelligence in their business and marketing processes to drive growth, innovation, and long-term success. Lucas shares his personal journey from having his own startup disrupted by AI to becoming an AI strategist and educator helping businesses adopt these transformative tools. This conversation dives into why many organizations are still only dabbling with AI, and how fear, habit, and misconceptions often prevent meaningful adoption Lucas outlines a practical four-step framework for adoption—People, Process, Strategy, Tools—that enables teams to identify real pain points, build effective workflows, and achieve measurable ROI with human teams and AI working collaboratively together. Listeners will learn: • Why automating tasks without a people-first mindset leads to stagnation • How to reframe AI adoption as change management rather than tool exploration • The difference between horizontal AI tools (like chatbots, note takers, and researchers) and vertical, function-specific AI use cases • Why simplifying AI governance and training employees on privacy settings is critical to protecting IP • How successful AI adoption has helped companies realize revenue growth of 50% or more without additional staff Whether you're leading a DTC brand, scaling a marketing team, or rethinking enterprise processes, this episode offers a roadmap to integrate AI thoughtfully, balance efficiency with human expertise, and future-proof your business in an era of rapid technological change.