Podcasts about Automation

Michael McCready is the managing partner of McCready Law, a premier personal injury firm with 16 attorneys, more than 100 staff, and offices across the Midwest. Known for his B2B-first approach, Michael built a referral-driven practice that top advertising firms trust with litigation and casework. He leads the firm remotely from Puerto Rico, where he also runs a consulting LLC. In this episode, Michael shares the playbook behind his firm's 200+ automations, how custom GPTs mimic attorney voices, and why he built a system that reports real-time updates to referring attorneys. Listen to the full episode with Michael McCready on Personal Injury Mastermind, powered by Rankings.io, below: Spotify Apple Podcasts Watch the Episodes On YouTube McCready Law: Website If you like what you hear, hit Subscribe. We do this every week. Buy tickets for PIMCON 2026: pimcon.org Subscribe to our newsletter: newsletter.rankings.io Get Social! Personal Injury Mastermind (PIM) powered by Rankings.io is on Instagram | YouTube | TikTok

In this episode of Crazy Wisdom, Stewart Alsop sits down with Andre Oliveira, founder of Splash N Color, a bootstrapped 3D printing e-commerce business selling consumer goods on Amazon. The two cover a lot of ground — from how Andre went from running 40 FDM printers out of South Florida to offshoring manufacturing to China, to how he's using Claude Code to automate inventory management and generate supplier RFQs across 200+ SKUs. The conversation stretches into bigger territory too: the San Francisco AI scene, the rise of AI agents and what they mean for the future of the internet, whether local on-device AI will eventually replace cloud-based tools, and why building physical products will stay hard long after software becomes easy. It's a candid, wide-ranging conversation between two self-taught builders figuring things out in real time. Follow Andre on X: @AndreBaach.Timestamps00:00 — Andre introduces Splash N Color, his Amazon-based 3D printing e-commerce business and explains the grind of running 40 FDM machines in South Florida.05:00 — The conversation shifts to Claude Code and how Andre built an inventory automation system to manage sales velocity and RFQs across 200+ SKUs.10:00 — Stewart and Andre compare notes on Opus 4.6, debate Codex vs Claude, and Andre breaks down the new Agent Teams feature in Claude Code.15:00 — Discussion turns to the San Francisco AI scene, the viral OpenClaw launch event that drew 700 people, and what's capturing the city's imagination right now.20:00 — The pair wrestle with data privacy, the illusion of it since 2000, and whether full transparency of personal data might actually serve people better.25:00 — Stewart pitches his vision of local on-device AI replacing cloud tools entirely, and they debate the 10–15 year timeline for mainstream societal adoption.30:00 — Andre traces his origin story: a high school dropout from Brazil who spotted a 3D printing opportunity on Facebook Marketplace and got lucky timing with COVID.35:00 — They explore whether AI-generated 3D models and DfAM will automate physical manufacturing, and why proprietary specs keep the space stubbornly hard.Key InsightsLifestyle businesses deserve more respect. Andre spent months feeling inadequate scrolling through Twitter watching founders announce funding rounds, before realizing his cash-flowing, location-independent business was already the goal. The social media version of entrepreneurial success warped his perception of what he actually had built.Claude Code is becoming an operating system. Stewart describes running Claude Code as having a second OS on top of MacOS — one that makes the underlying machine legible in ways it never was before. Both guests use it not just for coding but as a primary interface for understanding and operating their businesses.Agent Teams changes how work gets done. Andre explains that Claude's new multi-agent feature lets you assign a team lead and specialized roles that communicate with each other in parallel, essentially running an autonomous task force inside your terminal — a meaningful leap beyond single-instance prompting.Physical manufacturing will stay hard. Even as AI-generated 3D models improve, tolerances of 0.5 millimeters can mean the difference between a product working or not. Design for manufacturing is a separate discipline from design itself, and proprietary specs mean open source models rarely hit commercial quality.The internet is heading toward agents. Both guests agree that AI agents will increasingly handle tasks humans currently do manually online — booking services, making payments, coordinating logistics — with the human internet potentially becoming secondary to a machine-to-machine layer.Iteration is the real value of 3D printing. Andre pushes back on 3D printing as a business unto itself, framing it instead as a prototyping tool. The true value is rapid iteration on housing, tolerances, and fit — not the printer, but the speed of the feedback loop it enables.Technology compounds in layers. Andre closes with a tech-tree analogy: each generation normalizes the tools of the previous one and builds the next layer on top. Agentic coding today is what the internet was in the 90s — the foundation for something we can't yet fully see.

EMN Podcast Show NotesEpisode Title: Robots, Responsibility, and the Emergency ManagerHosts: Todd DeVoe and Andrew BoyarskyPodcast: The Emergency Management Network (EMN)Episode OverviewWhat can a 1920 science fiction play teach us about the future of emergency management?In this episode of the Emergency Management Network Podcast, Todd DeVoe and Andrew Boyarsky explore Rossum's Universal Robots (R.U.R.) by Czech writer Karel Čapek, the work that introduced the word robot to the world. Written more than a century ago, the play imagined a world in which artificial workers replace human labor, ultimately leading to a revolt that wipes out humanity.While the story may sound like classic science fiction, its themes feel strikingly modern. Automation, artificial intelligence, robotics, and technological dependence are rapidly reshaping the systems emergency managers rely on every day.Todd and Andrew discuss how Čapek's cautionary tale about industrialization and technological progress offers powerful insights for modern emergency management. The conversation explores how automation can improve disaster response while introducing new risks, why human judgment remains essential in crisis leadership, and the responsibilities of emergency managers as communities increasingly rely on complex technological systems.Ultimately, the episode reflects on a simple but profound idea: technology can enhance resilience, but resilience itself remains fundamentally human.Topics Discussed• The origin of the word “robot” and its meaning as “forced labor.”• The story and legacy of Rossum's Universal Robots (R.U.R.)• Technology, automation, and unintended consequences• Artificial intelligence and robotics in disaster response• The risks of over-reliance on automated systems• Why emergency management must keep humans in the loop• Ethical responsibility when deploying emerging technologies• What science fiction can teach emergency managers about the futureKey TakeawayAs emergency management increasingly integrates AI, robotics, and advanced analytics, leaders must balance technological innovation with human judgment, ethics, and community trust. The future of resilience will depend not just on smarter machines, but on wiser leadership.Connect with EMNSubscribe to The Emergency Management Network for podcast episodes, analysis, and commentary on leadership, disaster policy, and the evolving role of emergency management.Follow and subscribe for more conversations that explore the intersection of risk, leadership, and resilience. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit emnetwork.substack.com/subscribe

What will really happen if you don't respond to that email right away? I used to work at an agency where I thought "dedication" meant being reachable 24/7. I skipped concerts, missed date nights, and even took a work call on Christmas Day. I was convinced that if I didn't respond immediately, I was failing.The turning point? A pair of tickets to see Hamilton on my anniversary.When my project manager told me I had to work through the weekend just to get my paycheck on time, I said no. I didn't log back in until Monday. I didn't get fired, and I still got paid.Now that I work for myself, I see so many solopreneurs doing the same thing with their clients, their customers, their communities. If you're afraid to turn off your phone at the movies or leave your laptop behind on vacation, you've got strong Main Character Energy.In this episode, I share the three-step framework I used to transition from a burnt-out employee to a streamlined solopreneur: Managing Expectations, setting Physical Boundaries, and shifting your Mindset. Your business should support your life—not take it over.Is your tech helping your boundaries or hurting them? Take my free Tools Audit at https://streamlined.fm/tools to find out which systems will help you reclaim your space and keep you away from your inbox.What We Cover:The "Main Character" Trap: Why we overestimate how much our clients (or bosses) are actually thinking about us.The Brick: The physical tool I use to lock myself out of work apps and stay present with my family.Working Anywhere vs. Everywhere: Why the "freedom" of solopreneurship often leads to working 24/7.Show NotesThe Intentional Vacation: How My Systems Delivered True Family TimeHow I'm Staying Checked Out for a Week's VacationHow Solopreneurs Can Take More Time Off in 2026Send feedback to https://streamlinedfeedback.com Simplify your tech stack at  https://streamlined.fm/tools ★ Support this podcast ★

In this episode of The Block Runner Podcast, hosts William and I-man dive into the current surge of AI adoption and its impact on society, contrasting it with the recent 7% rise in Bitcoin. They explore the evolving narratives around AI-driven businesses, such as zero-human companies and prompt selling, highlighting both the hype and the realities behind these claims. The discussion also covers the risks associated with AI, including potential mass surveillance and autonomous weapons, with insights from Sam Altman and recent geopolitical impacts like supply chain concerns. William and I-man emphasize the importance of understanding AI's practical applications, limitations, and the possible future scenarios that could shape our world. Watch the full episode on YouTube: https://www.youtube.com/@TheBlockRunner Subscribe to our newsletter at TheBlockRunner.com for more updates. Hosts: William and I-man.

In this episode of The Block Runner Podcast, hosts William and I-man dive into the recent downturn of Bitcoin, marking the longest consecutive monthly decline in history, along with the crushing record lows for altcoins. They explore the potential systemic issues within the crypto industry, including revelations from an interview with CZ, founder of Binance, shedding light on industry control and systemic risks. The conversation also touches on the evolving role of AI and automation in crypto, emphasizing how these technologies could revolutionize the user experience and operational efficiency. They reflect on the history of exchanges like Binance and Coinbase, the early days of crypto trading, and speculate on the future of AI-driven ownership and automation in everyday life. Watch the full episode on YouTube: https://www.youtube.com/@TheBlockRunner Subscribe to our newsletter at TheBlockRunner.com Hosts: William and I-man

In this episode, I catch you up on the latest life and business updates. I reflect on the privilege and challenges of being an indie entrepreneur, especially as my co-founder João becomes a new father and takes parental leave. I discuss how we're managing business operations at Podsqueeze with just one active founder, and share thoughts about the perks and compromises of the indie hacker lifestyle.Links and mentions:Linkedin: https://www.linkedin.com/in/tiago-ferreira-48562095/Twitter: https://x.com/wbetiagoPodsqueeze – https://podsqueeze.com  WeTransfer – https://wetransfer.com  Meetup – https://www.meetup.com  Evernote – https://evernote.com  Bending Spoons – https://bendingspoons.com  AppSumo – https://appsumo.com  HubSpot – https://hubspot.com  G2G (Reddit accounts) – https://www.g2g.com  Startup Stories (Pat Walls) – [YouTube channel reference]  Audio Announcer, Flarecut (other projects mentioned)  Timestamps:01:10 Catching up, recording in Lisbon, and life updates  05:30 Joel's parental leave and how we manage as a small team  07:50 Indie perks: flexibility, travel, and lifestyle challenges when kids arrive  10:55 Handling business solo and what changes when you're down a founder  14:10 Methods and “cookbooks” for indie founders; audience-first, SEO, content, etc.  15:40 My “three phases” framework: launch, growth, plateau  18:20 Bending Spoons and the idea of managing multiple products  20:40 How AI changes indie hacking and lean bootstrapping  21:30 The grind of phase one, community tools, and growth difficulties  23:55 Automations, AI processes, and where human attention is still crucial  26:35 Where marketing and distribution bottlenecks are for us now  28:25 Content creation as a missing skillset and finding the right partners  30:50 Final thoughts: building indie businesses, inviting feedback, and a call to action

This episode explores vocabulary related to pathology (patologia), business systems (systemy biznesowe), technology (technologia), and digital operations (operacje cyfrowe) in Polish. We dive into how to discuss problems (problemy), solutions (rozwiązania), networks (sieci), and modern business infrastructure – all in practical, everyday Polish.   Welcome to the Learn Polish Podcast – your immersive gateway to mastering Polish through real conversations, cultural insights, and practical everyday language. Each episode blends authentic Polish dialogue with clear English explanations, helping you build vocabulary naturally while exploring Polish business concepts, technology terms, and modern life topics. Whether you're a complete beginner or advancing your skills, join us as we make learning Polish engaging, practical, and fun. From pathology (patologia) to digital systems (systemy cyfrowe), we cover the phrases you actually need for today's world. Find more episodes, lesson materials, and resources at www.learnpolishpodcast.com. You can also find us on YouTube, Spotify, and Rumble. Looking for virtual assistance? Visit va.world. Join our school groups on Brain Upgrade and podcasting – links in the show notes. Need lessons in Polish or Spanish? Check the links in the description for both audio and video content. Try our free brain upgrade course at school.com/brainupgrade   English Polish Pronunciation Example Usage Pathology Patologia pah-to-lo-GHEE-ah To jest patologia. (This is a mess/pathology.) System System SIS-tem System działa. (The system works.) Problem Problem PRO-blem Mamy problem. (We have a problem.) Solution Rozwiązanie roz-vy-ZA-nyeh Znajdźmy rozwiązanie. (Let's find a solution.) Network Sieć / Network seech / NET-work Sieć działa dobrze. (The network works well.) Technology Technologia tek-no-lo-GHEE-ah Nowa technologia. (New technology.) Digital Cyfrowy tsih-FRO-vih System cyfrowy. (Digital system.) Business Biznes BEES-nes Mój biznes rośnie. (My business is growing.) Product Produkt PRO-dukt Nowy produkt. (New product.) Service Usługa oo-SWOO-gah Dobra usługa. (Good service.) Agency Agencja ah-GEN-tsya Pracuję w agencji. (I work at an agency.) Marketing Marketing MAR-ke-ting Marketing internetowy. (Internet marketing.) Telephone Telefon teh-LEH-fon Zadzwoń na telefon. (Call the phone.) Call Połączenie / Zadzwonić po-won-CHEN-yeh / zad-ZVO-neech Zadzwoń do mnie. (Call me.) Object Obiekt / Obiekt OB-yekt Jaki to obiekt? (What object is this?) Version Wersja VER-shah Nowa wersja systemu. (New system version.) Target Cel / Target tsel / TAR-get Jaki jest cel? (What is the target?) Goal Cel tsel Mój cel to... (My goal is...) Bonus Bonus BO-nus Dostałem bonus. (I got a bonus.) Million Milion MEE-lyon Jeden milion. (One million.) Percent Procent PRO-tsent Dziesięć procent. (Ten percent.) Statistics Statystyka sta-TIS-ti-kah Statystyka pokazuje... (Statistics show...) Data Dane / Data DAH-neh / DAH-tah Analiza danych. (Data analysis.) Machine Maszyna mah-SHI-nah Maszyna działa. (The machine works.) Robot Robot RO-bot Robot automatyzuje. (The robot automates.) Automation Automatyzacja au-to-mah-ti-ZA-tsya Automatyzacja procesów. (Process automation.) Application Aplikacja ah-plee-KA-tsya Nowa aplikacja. (New application.) Software Oprogramowanie o-pro-gra-mo-VAH-nyeh Nowe oprogramowanie. (New software.) Hardware Sprzęt SPR-shent Nowy sprzęt. (New hardware.) GitHub GitHub GIT-hub Kod na GitHubie. (Code on GitHub.) Website Strona internetowa STRO-nah in-ter-ne-TO-vah Moja strona www. (My website.) Domain Domena do-MEN-nah Rejestracja domeny. (Domain registration.) Calendar Kalendarz kal-EN-darsh Sprawdź kalendarz. (Check the calendar.) Schedule Harmonogram / Grafik har-mo-NO-gram / GRA-fik Jaki jest grafik? (What's the schedule?) Event Wydarzenie / Event vih-dah-ZHEN-yeh / EH-vent Organizuję event. (I'm organizing an event.) Organization Organizacja or-ga-nee-ZA-tsya Dobra organizacja. (Good organization.) Union Unia / Związek OO-nya / ZVYON-zek Unia Europejska. (European Union.) Change Zmiana ZMYAH-nah Czas na zmianę. (Time for change.) Smart Smart / Inteligentny smart / in-te-li-GENT-nih Smart rozwiązanie. (Smart solution.) Positive Pozytywny po-zi-TIV-nih Pozytywne myślenie. (Positive thinking.) Logic Logika lo-GHEE-kah Logika biznesu. (Business logic.) Context Kontekst KON-tekst W kontekście... (In the context of...) Access Dostęp DOH-stemp Mam dostęp. (I have access.) Inspection Inspekcja / Kontrola in-SPEK-tsya / kon-TRO-lah Inspekcja jakości. (Quality inspection.) Quality Jakość YAH-koshch Wysoka jakość. (High quality.) Customer Klient KLEE-ent Klient jest ważny. (The customer is important.) Private Prywatny pri-VAT-nih Prywatna firma. (Private company.) Public Publiczny / Publiczny poo-BLEECH-nih Sektor publiczny. (Public sector.) National Narodowy / Krajowy na-ro-DO-vih / krai-YO-vih Krajowa sieć. (National network.) International Międzynarodowy myen-dza-na-ro-DO-vih Międzynarodowa firma. (International company.) AI AI / Sztuczna inteligencja ah-ee / SHTOOCH-nah in-te-li-GEN-tsya AI zmienia biznes. (AI is changing business.) Upgrade Upgrade / Aktualizacja UP-grade / ak-tu-a-li-ZA-tsya Czas na upgrade. (Time for an upgrade.) Training Trening / Szkolenie TRE-ning / shko-LEN-yeh Szkolenie online. (Online training.) Process Proces PRO-tses Proces automatyzacji. (Automation process.) Store Sklep / Magazyn sklep / ma-ga-ZIN Sklep internetowy. (Online store.) Source Źródło ZWOO-dwo Źródło danych. (Data source.)

Welcome to another episode of Build a Better Agency! This week, host Drew McLellan dives into the rapidly evolving landscape of AI and its game-changing implications for agency owners. Joining him is Julian Goldie, an innovative SEO agency owner and AI authority who has reimagined his business by harnessing the power of automation. Together, they demystify AI's practical applications, offering grounded advice for agencies eager not to fall behind in the age of automation.  In this insightful conversation, Julian Goldie recounts how the emergence of tools like ChatGPT prompted him to reinvent his agency from the inside out. He shares real-world examples of leveraging AI for operational efficiency—including automating repetitive outreach tasks, cutting costs, and scaling revenue without increasing headcount. You'll hear how identifying high-impact areas for automation can transform daily workflows and free up your team to focus on the strategies that matter most.  Drew McLellan and Julian Goldie discuss the overwhelming variety of AI tools on the market and outline how to strategically narrow down your agency's tech stack. You'll get tangible tips for evaluating and adopting automations, maintaining quality control, and sidestepping common pitfalls many organizations face when deploying AI. Plus, Julian reveals his "three-tool AI stack" essential for any modern agency, and shares strategies for using AI not just to save time, but to generate new revenue streams and position yourself as an industry thought leader.  Whether you're just beginning to experiment with AI or are looking to deepen your automation game, this episode is packed with actionable insights. By the end, you'll have concrete steps for auditing your workflow, selecting the right tools, and leading your clients confidently into the future of AI-powered marketing. Don't miss this practical roadmap to building a smarter, more scalable, and future-ready agency.  A big thank you to our podcast's presenting sponsor, White Label IQ. They're an amazing resource for agencies who want to outsource their design, dev, or PPC work at wholesale prices. Check out their special offer (10 free hours!) for podcast listeners here.  What You Will Learn in This Episode: Leveraging AI to automate high-impact agency tasks   Building value through workflow automation, not just content creation Simplifying your AI tech stack for profit and efficiency The critical role of quality control with AI-powered outputs Using AI-driven communities and content for client acquisition Mindful adoption: focusing on one key automation at a time Positioning your agency as a thought leader by documenting and sharing your AI journey  

In the fast-evolving landscape of the independent insurance industry, one crucial question emerges: How can agencies effectively blend human work with machine capabilities? In this post, we're diving deep into the distinct roles of humans and machines in insurance agencies, exploring the potential for increased efficiency and enhanced client relationships. Let's break down the insights shared by industry experts in the latest Scale Your Insurance Agency podcast.Understanding the Roles of Humans and MachinesThe conversation about machine work versus human work is more pertinent than ever in the insurance sector. Machines are designed to remove friction in operations, while humans excel at building trust and nurturing relationships. This balance is essential for agency leaders who want to leverage technology without losing the personal touch that clients value.Human Work: Building Trust and RelationshipsHuman work in an insurance agency encompasses tasks like:Judgment and Understanding: Assessing client needs for coverage options.Creativity: Crafting tailored solutions for diverse client scenarios.Relationship Management: Nurturing long-term client relationships.These elements underscore the importance of human interaction in a field that relies heavily on trust and personalized service. As the industry becomes more complex, freeing up human agents from repetitive tasks is crucial for them to focus on these critical aspects.Machine Work: Enhancing EfficiencyMachines excel at repetitive, rules-based tasks. Here's how agencies can leverage technology:Automating Routine Tasks: Data entry, document chasing, and renewals can be automated, allowing agents to focus on client engagement.Creating Playbooks: Instead of rigid standard operating procedures, agencies can develop flexible playbooks that guide machine operations while allowing for adaptability.By employing machines for these tasks, agencies can significantly increase efficiency and reduce the time spent on mundane tasks, ultimately leading to higher productivity.The Importance of Intentional SeparationOne of the key insights shared in the podcast is the necessity of intentionally separating machine work from human work. This intentionality allows agencies to:Maximize Efficiency: By ensuring that machines handle only repetitive tasks, human agents can dedicate their time to higher-value activities.Enhance Client Interactions: With more time freed up, agents can strengthen relationships with clients, leading to better service and increased retention.As the independent insurance industry evolves, so must the strategies employed by agencies. By understanding the balance between machine work and human work, agency leaders can enhance efficiency, reclaim valuable time, and ultimately foster stronger client relationships. Embrace the future of insurance by leveraging technology to create a more productive and client-focused agency.Are you ready to make this transition?Schedule Your Onyx Scaling Session Today: https://upponyx.com/

Summary Welcome to our 500th episode! To celebrate this milestone, Andy talks with Steve Brown, AI futurist, keynote speaker, and author of The AI Ultimatum: Preparing for a World of Intelligent Machines and Radical Transformation. Steve brings a rare perspective shaped by years at Intel and Google DeepMind, and today helps organizations navigate two vital questions: what future do you want to build with AI, and what future do you want to avoid? They explore why waiting isn't actually the safe option it feels like, how to think about the different "flavors" of AI beyond just generative tools, and what it really means to orchestrate humans, AI agents, and robots together in the workplace. Steve introduces three types of AI agents—offload, elevate, and extend—and explains the crucial difference between automating tasks and truly transforming how work gets done. You'll also hear his candid take on the fear of being replaced and why doubling down on your humanity is the smartest career move you can make right now. If you're looking for a practical, empowering guide to leading through the AI revolution—without the hype—this episode is for you! Sound Bites "The difference between an AI-enabled or AI-first company and an AI laggard is going to be so great that if you don't get on the train, you may get to the point where you can never catch up." "Your competitors who have embraced AI faster than you are going to be just kicking your butt all over town." "There's a serious cost to inaction in that you can become made irrelevant." "The danger with that is you may automate yourself. It may automate away all of the differentiation you have in your brand and your company." "AI is this sort of amplification technology, and the challenge is to balance cost-cutting and value creation." "Each flavor of AI is useful for solving a different type of business problem." "It feels like a digital employee, right? A digital worker that works for you." "It's taking the suck out of your job." "The real opportunity here, is to transform the way you do work rather than just try and automate away tasks or people." "The workplace of the future is going to be three groups. Humans will still be in the workforce. Great! Go us!" "You won't be replaced by an AI or a robot. You'll be replaced by someone who knows how to use AI better than you do." "Double down on your humanity." "Focus on building the skills that cannot be replaced, or at least won't be replaced by machines anytime soon." "At the end of all of this is going to be lives of abundance, where we have the things that we need." Chapters 00:00 Introduction 01:45 Start of Interview 01:54 Steve's Career Journey from Intel to DeepMind 05:00 Understanding the AI Ultimatum 08:23 Our First AI Moments 09:32 The Flavors of AI 13:54 Three Pathways to Creating Value with AI 15:11 Automation vs. Transformation 17:10 Orchestrating Humans, AI, and Robots 19:01 Real-World Examples of AI Agents 21:33 Physically Intelligent Robots in the Workplace 24:13 Addressing Fear and Resistance to AI 26:44 Preparing the Next Generation for the AI Age 29:56 Where to Learn More About Steve 31:01 End of Interview 31:38 Andy Comments After the Interview 36:23 Outtakes Learn More You can learn more about Steve and his work at SteveBrown.ai. For more learning on this topic, check out: Episode 479 with Matt Mong. It's a discussion about the AI skills you need to stay relevant. Episode 454 with Christie Smith. She talks about how AI is changing leadership, and what we can do about that now. Episode 437 with Nada Sanders. It's a discussion about future-prepping your career in an age of AI. You can also chat directly with PMeLa—the podcast's AI persona—to get episode recommendations and answers to your project management and leadership questions. Visit PeopleAndProjectsPodcast.com/PMeLa to chat with her. Level Up Your AI Skills Join other listeners from around the world who are taking our AI Made Simple course to prepare for an AI-infused future. Just go to ai.PeopleAndProjectsPodcast.com. Thanks! Pass the PMP Exam This Year If you or someone you know is thinking about getting PMP certified, we've put together a helpful guide called The 5 Best Resources to Help You Pass the PMP Exam on Your First Try. We've helped thousands of people earn their certification, and we'd love to help you too. It's totally free, and it's a great way to get a head start. Just go to 5BestResources.PeopleAndProjectsPodcast.com to grab your copy. I'd love to help you get your PMP this year! Join Us for LEAD52 I know you want to be a more confident leader–that's why you listen to this podcast. LEAD52 is a global community of people like you who are committed to transforming their ability to lead and deliver. It's 52 weeks of leadership learning, delivered right to your inbox, taking less than 5 minutes a week. And it's all for free. Learn more and sign up at GetLEAD52.com. Thanks! Thank you for joining me for this episode of The People and Projects Podcast! Talent Triangle: Business Acumen Topics: Artificial Intelligence, Leadership, Future of Work, AI Strategy, Digital Transformation, Agentic AI, Automation, Organizational Change, AI Ethics, Competitive Advantage, Human-AI Collaboration, Technology Adoption The following music was used for this episode: Music: Lullaby of Light featuring Cory Friesenhan by Sascha Ende License (CC BY 4.0): https://filmmusic.io/standard-license Music: Fashion Corporate by Frank Schroeter License (CC BY 4.0): https://filmmusic.io/standard-license

In this episode of the Real Estate Pros Podcast, host Michelle Kesil interviews Ed Mathews, founder of Clark Street Capital and Elavista. Ed shares his journey from the tech industry to real estate investing, discussing the growth of his multifamily firm and the innovative AI tool, Elavista Connect, designed to streamline lead management for real estate investors. He emphasizes the importance of technology in enhancing business efficiency and provides valuable insights for new investors, including the significance of mentorship and starting small in the real estate market.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

I had Strep Throat this week, and when I got sick of being cooped up in bed, I decided to do something interesting: use AI to code an iOS app.I have a lot of thoughts that probably require a part two to this note, but for now, I walk through the requirements, how the process was, and why this could be worth my time. Screenshots from the appSend feedback to https://streamlinedfeedback.com. Join my mailing list to get first dibs on a beta: https://streamlinedsolopreneur.com/hello-there/  Simplify your tech stack at  https://streamlined.fm/tools ★ Support this podcast ★

What if your brand stood out so clearly that prospects instantly knew you were the only solution—and showed up ready to buy? In this energizing episode, digital marketing strategist, keynote speaker, and former NYC performer Molly Mahoney reveals how to harness “The Spotlight Effect” to build a human-first brand that scales with AI—without sounding like everyone else.

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years. Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic. To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co/ ----- Meet R Mini Arnold - my OpenClaw chief of staff, which manages the equivalent of a ten-person team from a Mac mini in my garden studio. While I slept, that AI team debugged its own code at 3am, researched a trending Substack essay using five parallel investigators, and wrote a 4,600-word script for this very episode in 40 minutes. The gap between people who've started building this way and those who haven't is widening every week.  I covered: 00:51 Introducing my OpenClaw agent “R Mini Arnold” 03:59 What my AI chief of staff actually does 07:58 The hardware and software stack 10:38 A morning brief before you wake up 12:05 Overnight agents: research and code 15:00 How I communicate with my agent 18:56 Example 1: the sovereign wealth fund 22:41 Example 2: how this video was written 26:34 What it costs 29:22 The soul.md personality spec 32:39 Am I losing the judgment muscle? 35:46 Individuals vs. Fortune 500s 38:25 What to try this week ----- Where to find me: Exponential View newsletter: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azhar/ Twitter/X: https://x.com/azeem Production by EPIIPLUS1 Production and research: Baba Films, Chantal Smith, Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send a textAI influencers are no longer science fiction—they're already in your feed, landing brand deals, and reshaping digital marketing strategy in real time. This week on the Mike & Blaine Podcast, we unpack the rapid rise of virtual creators, CGI personalities, and fully synthetic brand ambassadors that never sleep, never age, and never go off-script. From sponsored posts created by generative AI to entirely fictional personalities building massive followings, the line between human and machine is getting blurry fast—and most people don't even realize it.We dig into why brands love AI influencers (total control, 24/7 scalability, no scandals, predictable messaging) and why audiences feel uneasy about it (authenticity gaps, trust erosion, emotional disconnect). Is this the next evolution of the creator economy—or the beginning of synthetic saturation? We explore what happens when automation meets influence, how platforms reward engagement over authenticity, and where the trust equation could start to crack.Then we flip it into the business lesson. Automation scales efficiency, but authenticity still drives loyalty. If you're a founder, marketer, or executive thinking about AI content strategy, this episode breaks down the real tactical questions:• When does AI increase margin—and when does it dilute brand equity?• Can synthetic creators outperform human influencers in ROI?• What happens to customer trust when people don't know what's real anymore?• How should businesses balance automation with human storytelling?We also look at how major brands and platforms are navigating this shift, from experimental AI brand ambassadors to algorithm-driven content at scale. Whether you're building a personal brand, managing a marketing team, or just trying to understand where digital culture is heading, this conversation gives you practical insight into how AI, branding, and business strategy intersect in 2026.If you've ever wondered whether the future of marketing is human—or synthetic—this episode is for you.Visit http://mikeandblaine.com to buy us a beer and support the show

If you’re looking for a network automation project but you’re worried about breaking stuff, why not build your automation adventure around IPv6? If your production traffic runs on IPv4, you can experiment with automated configurations and changes using IPv6 without negatively impacting that v4 traffic. You can get a two-for one experience learning both IPv6... Read more »

What builds a recruiting firm that lasts? In this Industry Spotlight, Kortney Harmon sits down with Norm Volsky, Managing Partner at DRI and leader within the Pinnacle Society, to explore why long-term success comes down to relationships—not shortcuts.Norm shares how top firms balance technology with trust, invest in operations to protect the client experience, and why reputation and delegation matter more than any single placement.Tune in as Norm breaks down what it really takes to build a recruiting firm that lasts—from choosing the right clients to investing in operations and protecting trust with every placement.______________________Connect with Norm VolskyFollow Norm Volsky on LinkedIn: LinkedIn | NormCheck out Direct Recruiters Inc. (DRI) hereOrganizations Mentioned in This EpisodeCheck out Pinnacle Society's Website hereCheck out Sanford Rose Associates (SRA) hereCheck out Starfish Partners hereConnect with CrelateFollow Crelate on LinkedIn: CrelateWant to learn more about Crelate? Book a demo hereSubscribe to our newsletter: https://www.crelate.com/blog/full-desk-experience

Most brands still treat email like a "legacy" channel while the right automated flows can quietly become one of the biggest drivers of revenue and retention. Join Brad Friedman and Jesse Kay as they break down automated email flows, list growth fundamentals, and how to connect paid social with owned channels like email and SMS so you can build an integrated system that converts and keeps customers coming back. Jesse Kay is the CEO of Vyber Media, where he helps high-growth brands use email, SMS, and lifecycle marketing to increase revenue across the funnel. Through innovative, youth-focused strategies, Jesse has worked with professional athletes, small business owners, and Fortune 1000 CEOs to drive measurable results in email, SMS, paid social, growth marketing, and influencer campaigns. The Digital Slice Podcast is brought to you by Magai. Up your AI game at https://friedmansocialmedia.com/magai And, if it's your first time purchasing, use BRAD30 at checkout to get 30% off your first 3 months. Visit thedigitalslicepodcast.com for complete show notes of every podcast episode.

If you’re looking for a network automation project but you’re worried about breaking stuff, why not build your automation adventure around IPv6? If your production traffic runs on IPv4, you can experiment with automated configurations and changes using IPv6 without negatively impacting that v4 traffic. You can get a two-for one experience learning both IPv6... Read more »

In this episode, Aaron Opalewski discusses the rapidly changing landscape of skilled trades and employment in the context of technological advancements like AI. He emphasizes the importance of adaptability, explores future career opportunities, and offers advice for young people navigating their career paths amidst these shifts.Sound  Bites"Roles are going to evolve, you must be adaptable.""Get adaptable to using new tools and learn quickly.""Control what you can and focus on personal growth."Key  TopicsImpact of AI and automation on skilled tradesCareer advice for young people in a changing job marketThe importance of adaptability and learning new skillsFuture opportunities in skilled trades and technologyThe role of apprenticeships and hands-on work in career developmentChapters00:00 Introduction to the episode and host's focus00:27 Current rapid changes in technology and employment landscape01:13 Why skilled trades have been a strong career choice for the past decade01:42 The impact of AI and automation on jobs and roles02:01 The importance of adaptability and learning new tools02:51 Advice for young people: careers in technology, trades, or entrepreneurship03:13 The growing demand for apprenticeships and skilled trades03:40 Why I would advise young people to focus on trades or tech over college04:24 The evolving role of professionals in legal, accounting, and staffing fields05:39 The current state of automation in skilled trades versus entry-level office jobs06:25 The resilience of skilled trades compared to other sectors07:14 Advice for those mechanically inclined or interested in trades08:05 Overhyped trends in electric vehicles and AI advancements09:00 The potential for automation in auto manufacturing and mobility10:15 Shifting career advice for young people in the current market11:00 The importance of physical skills and mechanical aptitude11:56 The opportunities in trades and service industries12:41 The need for a balanced perspective on AI and automation13:48 Focus on what you can control and personal development14:29 Practical steps for career planning and skill development15:25 Final thoughts and encouragement for viewers to adapt and thrive

What if farms could operate with the same level of automation and visibility as an Amazon warehouse — but designed around real farm life?In this episode of the AgCulture Podcast, Paul sits down with David Alpert, Co-Founder of Emergent, to explore the future of Total Farm Automation. David shares how agriculture's biggest bottleneck isn't data — it's connectivity — and why solving rural digital infrastructure is the foundation for better decisions, stronger profitability, and improved quality of life for producers.If you care about automation, interoperability, farm data ownership, or rebuilding trust between farmers and consumers — this conversation goes deep.Listen to the episode now!MEET THE GUESTDavid AlpertDavid Alpert is a Co-Founder of Emergent and one of the voices helping agriculture move toward Total Farm Automation. His work is centered on putting producers in total control of their business — giving farmers real-time visibility and control over their operations to improve efficiency, profitability, and quality of life.A decade ago, David helped found Farm Journal's Trust In Food Initiative, working alongside producers, brands, and industry leaders to strengthen trust and transparency across the agri-food value chain. Through that experience, he saw firsthand how much of farming still depends on manual checks, late discoveries, and constant guesswork — and set out to change that.Discover the world of agriculture with the "Ag Culture Podcast".This podcast will be a gateway for those passionate about agriculture to explore its global perspectives and innovative practices.Join Paul as he shares his experiences in the agricultural industry, his travels and encounters with important figures around the world.Available on YouTube, Spotify and Apple Podcasts.Subscribe at http://www.agculturepodcast.com and keep an eye out for future episodes, bringing insights and stories from the vibrant world of agriculture.

Link to Quick Reconciliation Tricks that Work https://youtu.be/gCXFs3EcEZc Trial balance serves as the underpinning of any organization's financial statements. It is a critical tool used to ensure accurate financial statements. So, let's take a look at what it is and how it is used in both accounting and more specifically accounts payable and then look at some common misconceptions and mistakes made in relation to this all-important reporting mechanism. #trialbalance #accounting #accountspayable Subscribe for more tips and insights like this: https://www.youtube.com/APNow?sub_confirmation=1 Looking for more of the most current business intelligence about + Best practices around your payment and accounts payable function + Current and new fraud protection protocols + The newest technology impacting your accounting, accounts payable, and payment functions + Career advancement +And much more!! +++++++++++++++++++++++ See most recent videos at: https://www.youtube.com/@APNow/videos See all short tips at: https://www.youtube.com/playlist?list=PLtL6rWSXZ-He5ELp9TP3wqQdHIbfIcFAB Learn more about AP Best Practices; Playlist at: https://www.youtube.com/playlist?list=PLtL6rWSXZ-HcvMSJTdNs0BCQJ0Ivb4l9V Learn more about Internal Controls in AP; Playlist https://www.youtube.com/playlist?list=PLtL6rWSXZ-HdV9JIterJ-bf6TwMset_z_ Looking for Automation insights: Playlist at: https://www.youtube.com/playlist?list=PLtL6rWSXZ-Hf_cZwQOcDZrYV4dA0oDVby This video provides a comprehensive guide to understanding the trial balance, a fundamental accounting report. We explain what a trial balance is, its importance in financial statement accuracy, and its application in accounts payable. The video also addresses common misconceptions and mistakes related to this critical reporting tool, including discussions on unadjusted trial balances and the accounting equation. 

In this episode of Manufacturing Hub, Vlad and Dave sit down with Travis Cox and Kevin McCluskey from Inductive Automation to unpack what was actually proven at ProveIt and why it matters for teams trying to modernize plants without building a fragile mess of point to point integrations. If you have ever looked at a shiny demo and wondered what the real architecture looks like, how it scales beyond a single line, and what it takes to roll out across multiple sites without turning every change into a high risk event, this conversation is for you.Travis and Kevin walk through their ProveIt Enterprise B build and the thinking behind it. The core idea is simple but powerful: treat the factory like a system that needs a shared digital infrastructure, built on open standards, where data is contextualized and reusable. They break down how they used Ignition Edge close to PLCs for resiliency, local HMIs, and disciplined data modeling, then moved data through MQTT into a Unified Namespace so multiple applications can consume the same trusted signals and context. This is the difference between “we can connect to anything” and “we can scale without rewriting everything every time the business changes.” Open standards show up repeatedly in the conversation because ProveIt is specifically designed to force interoperability and practical implementation tradeoffs. Inductive Automation has also written about ProveIt as a place where MQTT, OPC UA, and SQL show up as real foundations rather than slogans.From there, the episode gets into the part that should make both OT and IT teams pay attention: modern deployment practices applied to industrial applications. Kevin outlines a clear maturity path from a single designer workflow to version control, then to containerized deployments, and finally to full GitOps style promotion across dev, staging, and production using tools like Argo CD, Helm, Kubernetes, and release promotion concepts that look like what the software world has used for years. Argo CD is explicitly built around Git repositories as the source of truth for desired state, which is exactly why it fits this style of deployment. The live portion of the conversation demonstrates how fast this can get when the infrastructure is treated as code: they spin up a brand new “site four” by submitting a form, generating a pull request, merging it, and letting the pipeline do the rest.Timestamps00:00 Welcome back and why this ProveIt recap matters01:35 Meet Travis Cox and Kevin McCluskey from Inductive Automation03:10 What ProveIt is and the key vendor questions it forces05:20 Enterprise B architecture overview from PLC to Edge to site to enterprise07:30 HMI walkthrough across liquid processing, filling, packaging, palletizing09:05 Why deploy Ignition Edge instead of only a centralized site gateway12:05 Design once, reuse everywhere and what that means for scaling quickly14:35 On prem realities versus cloud infrastructure in the ProveIt environment17:10 MCP, n8n workflows, and bringing live operational context into AI20:40 i3X style API access to models, history, and alarms for interoperability23:15 GitHub, Docker Compose, Helm, Kubernetes, Argo CD, Cargo and GitOps promotion36:55 Spinning up a new site live and what it changes for multi site rolloutsAbout the hostsVlad Romanov is an electrical engineer and MBA who has spent over a decade building and modernizing manufacturing systems across industrial automation, controls, and plant operations. Through Joltek, Vlad works with manufacturers to assess current state OT foundations, reduce modernization risk, improve reliability, and build internal capability through practical training and standards that stick.Dave Griffith co hosts Manufacturing Hub and brings a practitioner lens focused on what works on the plant floor, how architectures survive real constraints, and how industrial teams can modernize without breaking production.About the guestsTravis Cox is Chief Technology Evangelist at Inductive Automation and has spent over two decades helping customers and partners design scalable architectures, apply best practices, and deliver real solutions with Ignition.Kevin McCluskey is Chief Technology Architect at Inductive Automation and works with organizations on architecture decisions, platform direction, and enabling the next generation of industrial applications.Learn more about Joltekhttps://www.joltek.com/serviceshttps://www.joltek.com/book-a-modernization-consultation

Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, industry and tech.Business messaging is transforming customer engagement by enabling brands to move conversations into familiar, always‑on messaging platforms. The result for customers is greater convenience, quicker resolutions, and more meaningful, personalized interactions. This week, Dave, Esmee, and Rob are joined by Kathleen Tandy, Global Director and Head of Business Messaging Marketing and WhatsApp for Business at Meta , to explore how companies are using messaging platforms to engage customers, what customers expect from these experiences, and the challenges of scaling messaging in tech.TLDR00:35 – Introduction01:00 –  Hang out: The new Remarkable05:25 – Dig in: Using messaging to enhance customer experiences20:49 – Conversation with Kathleen Tandy55:26 – The passion for college football and championship weekend!GuestKathleen Tandy: https://www.linkedin.com/in/kptandy/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

A hot paper — "Some Simple Economics of AGI" — has been making the rounds, so we sat down with the author, covering:  Automation vs. verification: the key economic split  Why AI agents now feel like coworkers - What's happening to junior roles and the “codifier's curse”  The “AI sandwich” structure for firms  The value of "meaning-makers," consensus, and status economies  Why crypto may become essential infrastructure for identity, provenance, and trust  Two possible futures: a hollow vs. augmented economy  Featuring Christian Catalini (founder of MIT Crypto Economics Lab) and Eddy Lazzarin (CTO of a16z crypto) in conversation with Robert Hackett, our discussion dives deep into how automation is reshaping labor markets, as well as the nature of intelligence.  What do these changes mean for startups, the future of work, and your career?  Highlights  00:00 Introduction  01:47 AGI economics optimism and playbook  05:39 Agents as coworkers  07:39 Software work becomes verification  10:47 Automation versus verification  12:03 "Unknown unknowns" and taste  16:27 Human augmentation and intent  17:55 The "AI Sandwich" and "Codifier's Curse"  21:54 "Meaning-makers" and the human touch  23:48 Crypto for identity and trust?  27:10 Measurability: How to think about it  33:23 Machine coordination and art after automation  35:46 Trojan horse risks  37:47 Liability and insurance  41:08 Crypto and verification  44:31 A hollow vs. augmented economy  49:45 Career advice in the AI era  51:26 The one-person billion-dollar startup  57:15 Open-source as antibodies  58:42 Blockchains for coordination  01:01:49 Closing thoughts  Follow a16z crypto for more...  X: https://x.com/a16zcrypto  LinkedIn: https://www.linkedin.com/showcase/a16zcrypto/posts/  YouTube: https://www.youtube.com/@a16zcrypto 

Automation media, trade shows, and digital content are reshaping how the industrial automation industry connects. In this episode, Sarah shares insights from covering manufacturing and packaging events, building relationships across OEMs and integrators, and how social media and content creation are influencing the future of automation, engineering, and industrial technology.Support the show__________________________________________________________________

With agentic AI, Intel IT is pursuing self-optimizing, human-aligned facility intelligence. To keep up with the pace of business, Intel's...

Podcast: PrOTect It All (LS 27 · TOP 10% what is this?)Episode: Safe AI Automation for Cybersecurity: Practical Workflows Without the RiskPub date: 2026-03-02Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationAI can accelerate cybersecurity - or accidentally expose it. In this solo episode of Protect It All, host Aaron Crow breaks down how cybersecurity professionals can safely integrate AI into their IT and OT workflows. As tools like ChatGPT, Copilot, and enterprise AI platforms become part of daily operations, the question isn't whether to use AI - it's how to use it responsibly. Aaron moves beyond buzzwords to focus on practical, everyday applications: automating reports, summarizing threat intelligence, drafting policies, enhancing documentation, and streamlining repetitive tasks. At the same time, he tackles the real concerns leaders face - data privacy, compliance, policy alignment, and shadow AI risks. You'll learn: Where AI delivers immediate value in cybersecurity workflows How to automate without exposing proprietary or regulated data The difference between enterprise AI tools and public platforms How to align AI usage with corporate security policies Practical ways CISOs and analysts can boost productivity safely Why governance and awareness matter as much as innovation Whether you're leading a security program or working hands-on in IT or OT environments, this episode delivers actionable strategies to use AI smarter—not riskier. Tune in to learn how to automate with confidence and stay ahead of the curve—only on Protect It All. Connect With Aaron Crow: Website: www.corvosec.com  LinkedIn: https://www.linkedin.com/in/aaronccrow Learn more about PrOTect IT All: Email: info@protectitall.co  Website: https://protectitall.co/  X: https://twitter.com/protectitall  YouTube: https://www.youtube.com/@PrOTectITAll  FaceBook:  https://facebook.com/protectitallpodcast   To be a guest or suggest a guest/episode, please email us at info@protectitall.co Please leave us a review on Apple/Spotify Podcasts: Apple   - https://podcasts.apple.com/us/podcast/protect-it-all/id1727211124 Spotify - https://open.spotify.com/show/1Vvi0euj3rE8xObK0yvYi4The podcast and artwork embedded on this page are from Aaron Crow, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

307 / How can automation, AI, and genuine relationships help you thrive as an author? Chelle Honaker shares her insights on blending creativity and business, building community, and navigating the ever-changing publishing world.✨ This week's sponsor is: Reedsy https://reedsy.com/studio and https://reedsy.com/studio/templatesFlywheel marketing instead of funnel marketingBuilding community and collaborationSocial media burnout and challengesDiscoverability and reader relationshipsTrends in publishing and tech for authors

With the introduction of Agentic AI, autonomous "everything" is all the rage. But we've been burned by automation in the past. Remember the days of Intrusion Prevention Systems and why we never put them into blocking mode? Automation may be the future of security and IT operations, but the path to autonomous "everything" must be earned. How do you build autonomous capabilities with confidence and trust? Tim Morris, Financial Services Strategist at Tanium, joins Business Security Weekly to discuss how teams can introduce autonomous capabilities in a crawl-walk-run progression that builds trust over time. Automation is not about laying off employees, it's about efficiency and speed. Tim will guide us on a journey to build automation we can trust that allow us to reduce repetitive work and minimize human error without creating fear of “machine mistakes.” This segment is sponsored by Tanium. Visit https://securityweekly.com/tanium to learn more about them! In the leadership and communications segment, Boards don't need cyber metrics — they need risk signals, Why Cybersecurity Is Now a Business Strategy, Not Just IT?, Where Senior Leaders Are Struggling with AI Adoption, According to Research, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-437

In this episode, Steve Smith, Assistant Vice President of Enterprise Contact Center and Access at Inova Health System, shares how the organization is leveraging cloud based technology, digital assistants, and AI driven tools to streamline scheduling, improve self service, and enhance both patient and team member experiences.

From time to time, we'll re-air a previous episode of the show that our newer audience may have missed. During this episode, Santosh is joined by Ian Fletcher and Marc Fasteau, Co-Authors of “Industrial Policy for the United States: Winning the Competition for Good Jobs and High-Value Industries." In this conversation, Marc and Ian emphasize the need for a strategic approach to support key industries, highlighting the importance of government-sponsored research, trade protection, and a competitively valued currency. The conversation also covers the role of tariffs, workforce development, and the necessity of a unified economic strategy. The group advocates for intentional policies to foster economic growth, innovation, competitiveness in the global market, and more.  Highlights from their conversation include: Introducing Marc and Ian and the New Book (0:41) Defining Modern Industrial Policy (4:33) Industry-Based Economic View (5:35) Importance of Industry Selection (7:23) Global Perspectives on Industrial Policy (11:25) Three Pillars of Industrial Policy (17:26) List of Industrial Policy Tools (19:16) Granularity of Industrial Policy (25:27) Role of Tariffs in Industrial Policy (26:49) Workforce Development and Automation (29:00) Future of U.S. Industrial Policy (30:58) Challenges of Policy Silos (31:36) Hope for Unified Discipline in Industrial Policy (32:24) Dynamo is a VC firm led by supply chain and mobility specialists that focus on seed-stage, enterprise startups. Find out more at: https://www.dynamo.vc/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Electrification is accelerating across North America. Rebates are expanding. Regulations are tightening. And HVAC contractors are being asked to deliver higher efficiency, lower emissions, and better comfort all at the same time. So where does dual fuel fit in? In this episode of Service Business Mastery, recorded live at AHR Expo, Tersh Blissett sits down with Matt Schlegel and Charles Hurd to break down how dual fuel heat pumps are becoming a powerful solution for commercial and residential contractors. If you're trying to navigate electrification, cold climate performance, rebate programs, and evolving control requirements, this episode gives you clarity and strategy. What You Will Learn in This Episode • What dual fuel heat pumps are and how they operate • The difference between single heat operation and simultaneous heating • Why electrification incentives are driving commercial demand • How dual fuel helps avoid expensive electrical upgrades • Why gas can outperform electric strip heat in extreme cold • How adjustable changeover temperatures impact comfort and cost • How to calculate annual operating costs and emissions impact • How Controls Verification Protocol affects inverter systems • The growing push toward communicating equipment • What AHRI 1380 demand response compliance means for contractors • How manufacturers are using AI to improve troubleshooting and service Timestamps 00:00 Adjustable changeover temperature explained 05:23 What dual fuel solves in commercial applications 08:12 Gas vs electric strip heat in extreme cold 12:24 Utility cost and emissions comparison tool 16:02 How thermostats and changeover logic work 23:39 Brand loyalty after COVID shortages 28:24 Refrigerant transition challenges 33:01 CVP and communicating systems 35:31 Future of proprietary thermostats 40:49 AI in HVAC troubleshooting 44:09 Automation vs AI hype 48:15 How to become a dealer How to become a YORK dealer https://www.york.com/dealers/become-a-contractor  Follow the Host and GuestTersh Blissett: https://www.linkedin.com/in/tershblissett/ Josh Crouch: https://www.linkedin.com/in/josh-crouch/ Matt Schlegel: https://www.linkedin.com/in/matthew-schlegel/ Charles Hurd: https://www.linkedin.com/in/charlesrhurd/  Bosch: https://www.linkedin.com/company/boschhomecomfortgroup/ Connect with Us• LinkedIn - https://www.linkedin.com/company/service-business-mastery • TikTok - https://www.tiktok.com/@servicebusinessmastery • Facebook Group - https://www.facebook.com/groups/servicebusinessmasterypodcast • Instagram - https://www.instagram.com/servicebusinessmasterypodcast

OVERVIEW: Welcome to The Reasoning Show! We dig into one of the foundational building blocks of modern Generative AI, the AI Agent. So what is an AI Agent, and what do we need to think about for the next couple years? SHOW: 1007SHOW TRANSCRIPT: The Reasoning Show #1007 TranscriptSHOW VIDEO: https://www.youtube.com/@TheReasoningShow/SHOW SPONSOR:VENTION - Ready for expert developers who actually deliver? Visit ventionteams.comSHOW NOTES:Topic 1 - We're 3+ years into the Generative AI era. Why do you think AI Agents, or Agentic AI, is now getting so much attention? Topic 2 - If someone asked you to explain what an AI Agent is, how would you do that? Topic 3 - What are some of the core elements of AI Agents that you're seeing impact how people think about and use agents?How to define tasksLanguages and frameworksAbility to orchestrate multiple agentsHuman-in-the-Loop vs. AutonomousOther?Topic 4 - AI Agents are going to spark the great “how much should I pay for this?” discussion. Have you given this any thought yet?  Topic 5 - How do you expect to use AI agents in your day-to-day work, and how do you expect this to impact Enterprise businesses?ESSENTIAL READINGBuilding Effective Agents" by Anthropic: designing agents with tools, memory, reasoning loopsA Comprehensive Review of AI Agents: how agents perceive, reason, decide, actTop 20 AI Agent Concepts You Should Know: covering ReAct, Chain of Thought, memory typesAI Agents in Action: Foundations for Evaluation and Governance: structured foundation for safety aspects of agent deploymentEssential ViewingAI Agentic Design Patterns w/ AutoGen: build autonomous agents that use toolsAI Agent Systems w/ crewAI: orchestrating teams of agentsLangGraph Course: how to build stateful, reliable agentsFrameworks & Tools LangGraph: standard for complex, stateful agents (nodes, edges, loops)CrewAI: Best for structured task delegation and multi-agent collaborationAutoGen: Microsoft's framework for multi-agent conversational systemsSend a textFEEDBACK? Email: show @ reasoning dot show Bluesky: @reasoningshow.bsky.social Twitter/X: @ReasoningShow Instagram: @reasoningshow TikTok: @reasoningshow

AI can now generate code in seconds. Deployment pipelines are faster than ever. And yet, many teams still feel slow.In this episode, I sit down with Nicole Forsgren, world-renowned researcher, co-author of Accelerate, and Senior Director of Developer Intelligence at Google. We explore why speed alone doesn't create performance — and how hidden friction inside systems, culture, and decision-making quietly holds teams back.Nicole breaks down the SPACE framework, explains why activity metrics create blind spots, and challenges leaders to rethink what productivity really means in the era of AI agents. If you're measuring output but still not seeing impact, this conversation will help you recalibrate.Key TakeawaysProductivity is multidimensional, not just output: Measuring activity alone creates blind spots. Real performance includes satisfaction, quality, collaboration, and flow.System constraints determine team speed: Improving individual teams isn't enough. Performance improves only when bottlenecks across the entire value stream are addressed.AI accelerates existing systems: Automation increases throughput, but it doesn't remove friction. Weak processes and structural gaps become more visible as speed increases.Trust becomes a performance factor in AI workflows: As agents contribute to development, validation systems, guardrails, and confidence mechanisms become essential.Strategy must come before acceleration: Building the wrong thing faster does not create value. Leaders must define direction before optimizing delivery.Additional InsightsOrganizations scrutinize AI more than human decisions: We often ask whether AI is producing the right output. Yet we rarely question whether human teams are building the right thing either.AI forces leaders to clarify judgment: Working with agents requires teams to make their assumptions explicit by defining heuristics, edge cases, and decision rules that previously lived in intuition.Many bottlenecks are decision bottlenecks: Delays often come from postponed decisions, including security reviews, approvals, and quality checks placed late in the workflow.AI exposes the limits of existing infrastructure: Faster development cycles put pressure on testing systems, CI/CD pipelines, and operational workflows designed for slower environments.Episode Highlights00:00 – Episode RecapEven as AI accelerates development, many teams feel slower than ever — revealing that friction isn't about code speed but about how systems, culture, and decisions are designed.02:38 – Guest Introduction: Nicole ForsgrenBarry introduces Nicole Forsgren — researcher, co-author of Accelerate, and Senior Director of Developer Intelligence at Google — whose work has redefined how technology performance is measured.07:08 – The SPACE Framework ExplainedNicole breaks down Satisfaction, Performance, Activity, Communication, and Efficiency — a practical guardrail to measure productivity across multiple dimensions.10:19 – Why Optimizing Locally Creates BottlenecksTeams often improve within their own scope, only to worsen constraints elsewhere in the system. Real performance requires zooming out.12:37 – Simple Surveys That Surface Hidden FrictionA few focused questions can quickly reveal productivity barriers — especially when frequency of disruption is measured alongside frustration.15:51 – Culture, Curiosity, and System DesignMost structural problems come from rational past decisions. Approaching friction with curiosity — not blame — creates safety and clarity.18:07 – Moving Decisions UpstreamFrom flaky tests to security reviews, many delays are postponed decisions. The opportunity is shifting confidence-building earlier in the workflow.22:18 – Making Implicit Judgment ExplicitAI agents force leaders to articulate the heuristics and assumptions they previously ran on instinct — improving both human and machine judgment.25:48 – Are Humans Building the Right Thing?We question AI correctness — but rarely apply the same scrutiny to human output. Strategy clarity remains a leadership responsibility.30:01 – AI Amplifies Existing BottlenecksAs agents increase throughput, weaknesses in pipelines, testing, and infrastructure become more visible — and more urgent.32:05 – Removing Friction to Unlock Real PerformanceTrue competitive advantage comes from redesigning systems of work — not just accelerating output.Follow the HostLinkedIn: https://www.linkedin.com/in/barryoreillyPersonal site: https://barryoreilly.comFacebook: https://www.facebook.com/barryoreillyauthor/Twitter/X: https://x.com/barryoreillyInstagram: https://www.instagram.com/barryoreilly/

⬥EPISODE NOTES⬥ The security operations center has always been a battleground of volume, velocity, and human endurance. Analysts have long faced the impossible math of too many alerts, too few hours, and too much at stake. For years, the industry promised automation would change that equation -- but the technology was never quite ready to deliver. That moment, according to Richard Stiennon, has now arrived. Stiennon, Chief Research Analyst at IT-Harvest, has spent two decades tracking every corner of the cybersecurity vendor landscape. His data now shows more than 61 net-new SOC automation vendors -- companies that did not exist a few years ago -- built from the ground up to replace the work of tier-one, tier-two, and tier-three analysts. Some of these vendors launched in January 2024 and reached $1 million in ARR by April. By the end of 2025, several were reporting $3 million ARR. These are not incremental improvements. They represent a structural shift in how security operations can be run. What makes this generation of SOC automation different from earlier SIEM and SOAR tooling is scope and autonomy. The value proposition is blunt: 100% alert triage, 24 hours a day, 7 days a week -- with automated case building, threat investigation, and response actions including machine isolation and reimaging. Stiennon points to a CISO he met, speaking under Chatham House rules, who disclosed that a large enterprise had already eliminated its entire human SOC team. He predicts that disclosure will go public before long. The conversation also explores the business context question that security leaders frequently wrestle with: are these AI-driven SOC tools operating with a narrow cyber mandate, potentially optimizing for security metrics at the expense of business continuity? Stiennon pushes back on that concern, arguing that large language models are already trained on the full breadth of human knowledge -- they understand business context at a level that exceeds most organizations' internal documentation. The more pressing risk, he suggests, is not that AI will act outside business intent, but that organizations will move too slowly to benefit. Waiting six months for a proof-of-concept report while spending a million dollars on human SOC operations is not due diligence -- it is opportunity cost. The conversation also touches on data privacy in AI-driven security, the role of federated learning and fully homomorphic encryption for compliance-sensitive environments, and what security leaders can do today to evaluate and accelerate their own adoption timeline. Stiennon will be at RSA Conference 2026 with his new book, Guardians of the Machine Age: Why AI Security Will Define Digital Defense, continuing to make the case for a field that is moving faster than most organizations are prepared to acknowledge. ⬥GUEST⬥ Richard Stiennon, Chief Research Analyst at IT-Harvest | Website: https://it-harvest.com/ On LinkedIn: https://www.linkedin.com/in/stiennon/ ⬥HOST⬥ Sean Martin, Co-Founder at ITSPmagazine, Studio C60, and Host of Redefining CyberSecurity Podcast & Music Evolves Podcast | Website: https://www.seanmartin.com/ ⬥RESOURCES⬥ IT-Harvest | https://it-harvest.com/ Richard Stiennon on LinkedIn | https://www.linkedin.com/in/stiennon/ Guardians of the Machine Age: Why AI Security Will Define Digital Defense (Richard Stiennon) | Available via IT-Harvest and major booksellers RSAC Conference 2026 Coverage on ITSPmagazine | https://www.itspmagazine.com/rsac-2026-conference-san-francisco-usa-cybersecurity-event-infosec-conference-coverage The Future of Cybersecurity Newsletter | https://www.linkedin.com/newsletters/7108625890296614912/ More Redefining CyberSecurity Podcast episodes | https://www.seanmartin.com/redefining-cybersecurity-podcast Redefining CyberSecurity Podcast on YouTube | https://www.youtube.com/playlist?list=PLnYu0psdcllS9aVGdiakVss9u7xgYDKYq ⬥ADDITIONAL INFORMATION⬥ On Podcast: https://www.seanmartin.com/redefining-cybersecurity-podcast On YouTube: https://www.youtube.com/playlist?list=PLnYu0psdcllS9aVGdiakVss9u7xgYDKYq Newsletter: https://itspm.ag/future-of-cybersecurity Contact Sean: https://www.seanmartin.com/ ⬥KEYWORDS⬥ richard stiennon, it-harvest, sean martin, soc automation, ai security, security operations center, threat detection, autonomous response, alert triage, security operations, cybersecurity vendors, ai agents, large language models, federated learning, siem, soar, redefining cybersecurity, cybersecurity podcast, redefining cybersecurity podcast Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Automation was sold as a way to scale good experiences. It scales bad ones just as efficiently. Healthcare has spent the last decade deploying chatbots, portals, AI-generated content, and personalization engines in the name of patient experience. The ROI case was built on efficiency: lower cost per interaction, faster throughput, reduced call center volume. What was never put on the balance sheet is what happens to patient trust when those systems fail — and they fail regularly, quietly, and without anyone in the organization knowing it happened. That's trust debt. Every time an automated system fails a patient and the patient absorbs the cost silently — closes the portal, hangs up, stops engaging — a withdrawal is made from an account most health systems never knew they had. It doesn't show up in satisfaction scores. It shows up in churn, in rising call volumes that automation was supposed to reduce, in patients who schedule once and don't come back. Chris Boyer and Reed Smith work through where the debt is accumulating right now — and where automation is actually doing the opposite: Why AI-generated health content optimized for fluency, not accuracy, is seeding doubt in the patients most likely to engage with it How portal adoption metrics are measuring the wrong signal — and why enrollment without satisfaction is just a larger audience for your frustration Where DXP personalization crosses from service into surveillance — and how thin consent frameworks are accelerating that perception What trust-building automation actually looks like, and what it has in common with the best human interactions in healthcare The three questions every team should ask before the next automated touchpoint goes live The research is catching up to what practitioners already sense. AI safety disclaimers in patient-facing responses dropped from 26% in 2022 to under 1% in 2025. Sixty-one percent of patients say they'd consider switching providers over a better digital experience. And the 2025 Edelman Trust and Health report found that no institution — not business, not government, not NGOs — is trusted to address patient needs. Healthcare is operating in a trust deficit it didn't create alone, but automation is making it worse in ways that are largely invisible to the organizations doing it. The question isn't whether to automate. It's whether you've been honest about what you're actually scaling. Mentions from the Show: TP456: When AI Speaks for the Patient — touchpoint.health TP460: When Digital Speaks for the Patient — touchpoint.health TP470: When AI Becomes the First Stop for Care — touchpoint.health AI errors in healthcare — Healthcare Brew, August 2025: https://www.healthcare-brew.com/stories/2025/08/20/healthcare-execs-ai-errors Declining medical safety messaging in AI — npj Digital Medicine, October 2025: https://www.nature.com/articles/s41746-025-01943-1 ECRI Top 10 Patient Safety Concerns 2025: https://www.medtechdive.com/news/ecri-patient-safety-report-2025-ai/742114/ ONC Patient Portal Access Data Brief 2024: https://healthit.gov/data/data-briefs/individuals-access-and-use-patient-portals-and-smartphone-health-apps-2024/ Experian Health patient portal switching stat: https://www.experian.com/healthcare/solutions/patient-engagement-solutions 2025 Edelman Trust Barometer: Trust and Health: https://www.edelman.com/trust/2025/trust-barometer/special-report-health 2026 Edelman Trust Barometer: https://www.edelman.com/trust/2026/trust-barometer Reed Smith on LinkedIn: https://www.linkedin.com/in/reedtsmith/ Chris Boyer on LinkedIn: https://www.linkedin.com/in/chrisboyer/ Chris Boyer website: http://www.christopherboyer.com/ Chris Boyer on BlueSky: https://bsky.app/profile/chrisboyer.bsky.social Reed Smith on BlueSky: https://bsky.app/profile/reedsmith.bsky.social Learn more about your ad choices. Visit megaphone.fm/adchoices

Why Investors Panic Even When the Data Says They Shouldn't Every market pullback creates the same reaction. Panic headlines. Emotional decisions. Investors questioning everything they said about being long term. But the data tells a different story. In this episode, we break down what history actually shows about market volatility, investor behavior, and long term returns. From the JP Morgan behavior gap to Fidelity's famous study of their best performing accounts, the evidence is clear. The biggest risk to investors is not the market itself. It is how they behave during uncertainty. We also discuss why missing the best market days can destroy long term returns, why corrections are normal, and why automated investing systems protect you from emotional mistakes. If you want to build real wealth, you cannot react to every headline. You need a strategy built on patience, discipline, and data. Episode Timeline and Highlights 00:00 Why investors panic 01:30 The behavior problem 03:00 JP Morgan behavior gap 05:00 Fidelity's best investors 07:00 Missing the best market days 09:00 Why drops are normal 11:00 Corrections explained 13:00 Bear markets vs bull markets 15:00 The power of time in the market 17:00 Why waiting backfires 18:30 Cash vs inflation 20:00 Why automation works Key Takeaways • The average investor underperforms due to behavior • Market corrections happen regularly • Missing key rebound days hurts long term returns • Time in the market increases success probability • Automation removes emotional investing decisions Quotables "Everyone is a long term investor until the short term punches them in the mouth." "The market didn't create fear. It revealed it." "Wealth isn't built by reacting. It's built by remaining." If someone in your life is panicking about market volatility, send them this episode.  

Automation and Gen AI drive marketing teams to downsize while managing high-stakes challenges in the areas of brand ethics, cultural sensitivity, and the risk of automated missteps. That's the key take-away message of this episode of the Wise Decision Maker Show, which talks about how Gen AI can drive marketing teams to one.This article forms the basis for this episode: https://disasteravoidanceexperts.com/will-gen-ai-drive-marketing-teams-to-one/

In this episode, Carlos Gonzalez de Villaumbrosia interviews Chris Geoghegan, VP of Product at Zapier. As the company's first-ever Product Manager, Chris has spent nearly a decade scaling Zapier into a $5 billion automation giant that serves over 3.4 million businesses and 69% of the Fortune 1000.Zapier is not just building AI tools; they are powering their entire company with them. Chris reveals that his team currently runs over 800 active AI agents internally to manage everything from calendar prep to engineering triage. He breaks down the Code Red moment that shifted their strategy and how they are defining the future of Agentic Workflows.What you'll learn:Agentic vs. Deterministic: Why standard workflows follow a set path, while agents can reason, access knowledge, and change course to solve problems.The Orchestration Layer: How to hire and onboard AI agents using Context Engineering and Model Context Protocols (MCPs).Adoption vs. Transformation: Why adoption is just doing old tasks faster, while transformation unlocks business models that were previously impossible.Building a Moat: How Zapier uses its vast data on user intent to stay ahead of commodity LLM features.Key takeaways:Treat Agents Like Employees: You can't just deploy an agent; you must onboard it with specific context and tools to be effective.Lead by Building: Transformation fails if leaders don't use the tools. Zapier's execs do show-and-tell sessions to prove they are hands-on.AI Governance is Key: To move up-market to the enterprise, you must solve for Observability (who sent what data) and Access Control.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Chris Geoghegan Social Links: Follow our Podcast on Tik Tok here Follow Product School on LinkedIn here Join Product School's free events here Find out more about Product School here

WHAT YOU'LL LEARN Why retail is now a demand chain, not a supply chain How AMRs deliver 6–12 month ROI in high-variability e-commerce Why robotics-as-a-service changes peak capacity planning The real bottleneck in AI adoption: structured WMS data Why dashboards are dying and exception-based orchestration is rising How consolidation will reshape 3PL economics Why operational excellence remains the ultimate differentiator HIGHLIGHTS 00:01–00:12 | Consumer expectations and the “fast + free + cheap” reality 00:12–00:15 | AMRs, ASRS, RaaS, and 6–12 month automation ROI 00:15–00:16 | Buy vs build: what's commodity vs “secret sauce” 00:16–00:19 | Agentic AI in warehouse ops: labor planning + execution 00:19–00:22 | AI proof, case studies, and demand planning as the next frontier 00:22–00:24 | Dashboards vs operators: turning analytics into actions 00:24–00:28 | Operator advice: efficiency, mechanization, and competition shifts 00:29–00:31 | Manifest trends: retail channels evolving + tech-driven 3PL future QUOTES  [00:04:10] “One of the biggest changes is you used to have a choice. You could either have it fast, you could have it free, or you could have it cheap. The consumer today wants all three.” – Jeff Wolpov [00:05:10] “We as logistics supply chain companies need to lean in and figure out how to do more with less. Today it's a necessity.” – Jeff Wolpov [00:07:30] “You need automation... We need to be faster and more flexible. Peaks have gotten much higher.” – Jeff Wolpov [00:16:00] "The hard part isn't building AI or using AI. It's what do you do with the results?" - Gary Allen [00:16:50] “Operators shouldn't hunt dashboards, they should get alerts, exception-based triggers. AI takes analytics to the next level.” – Gary Allen [00:23:00] "Reporting is the death of analytics." - Gary Allen  ABOUT THE GUESTS Jeff Wolpov Jeff Wolpov is Senior Vice President of E-commerce and Ryder Last Mile at Ryder System, Inc., where he leads the vision and strategy for omnichannel fulfillment and big & bulky home delivery. Previously, he served as CEO of Whiplash (formerly Port Logistics Group), achieving nearly 30% year-over-year revenue growth before its acquisition by Ryder in 2022. Earlier in his career, Jeff founded Distribution Solutions, scaling it from a startup into a $50 million regional logistics firm that became the foundation of Whiplash's national network. He holds a degree from the University of Michigan. Gary Allen Gary Allen is Vice President of Supply Chain Excellence at Ryder, overseeing Solution Design, Continuous Improvement, Data Analytics, and Automation across the supply chain organization. With more than 32 years of experience, he previously led EY's logistics consulting practice and held leadership roles at DHL and FedEx in product innovation, solution design, sustainability, and operations. Gary helped launch and co-author the “Annual Third Party Logistics Study” with Dr. John Langley of Penn State University and holds a Bachelor of Arts in Materials and Logistics Management from Michigan State University. LINKS MENTIONED Ryder report: https://www.ryder.com/en-us/insights/white-papers/e-comm/2025-ryder-e-commerce-consumer-study Ryder website: https://www.ryder.com/en-us Subscribe and Keep Learning!If you're a logistics leader looking to scale sustainably, don't miss out! Subscribe for more expert strategies on tackling modern supply chain challenges.Be sure to follow and tag the eCom Logistics Podcast on LinkedIn and YouTube

In this episode, George Hincapie and Bobby Julich joins host Dirk Friel to dive into the ambitious launch of Modern Adventure Cycling—a new American cycling team that's already making waves on the international stage. With decades of experience racing and leading teams, George Hincapie and Bobby Julich share what inspired them to tackle this monumental project, how they overcame challenges in building their roster, and why fostering a positive team culture matters more than chasing results. From candid stories about assembling their squad to detailing their unique approach to high performance and athlete development, this episode is a masterclass on leadership, adaptability, and what it means to create opportunities for the next generation of American cyclists. Plus, hear behind-the-scenes moments from training camps in Girona, their unexpected invitations to world-class races, and the philosophy that guides them as they strive not only for podiums, but for lasting impact in the cycling community. 00:00 Power Analysis and Lap Comparison 03:09 "New Devices, Metrics, Automation" 07:50 "Inside Modern Adventure Pro Cycling" 12:04 "Securing the Deal to Start" 13:43 "Selecting Young Cyclists Wisely" 18:14 Supporting Riders, Building Futures 21:40 "Building a Team We Wanted" 24:26 Teamwork Boosts Morale 27:52 "Coaching: Data vs. Connection" 31:58 "Adjusting Plans for Race Invites" 33:11 American Cycling's Ambitious Revival 36:04 "Performance Priorities and Future Goals" 40:20 Emerging American Cyclists in Spotlight 42:54 "Team Unity Drives Success" 47:51 "Maintaining American Presence Abroad" 50:42 "Endurance Unlimited Podcast Sign-Off"

With the introduction of Agentic AI, autonomous "everything" is all the rage. But we've been burned by automation in the past. Remember the days of Intrusion Prevention Systems and why we never put them into blocking mode? Automation may be the future of security and IT operations, but the path to autonomous "everything" must be earned. How do you build autonomous capabilities with confidence and trust? Tim Morris, Financial Services Strategist at Tanium, joins Business Security Weekly to discuss how teams can introduce autonomous capabilities in a crawl-walk-run progression that builds trust over time. Automation is not about laying off employees, it's about efficiency and speed. Tim will guide us on a journey to build automation we can trust that allow us to reduce repetitive work and minimize human error without creating fear of "machine mistakes." This segment is sponsored by Tanium. Visit https://securityweekly.com/tanium to learn more about them! In the leadership and communications segment, Boards don't need cyber metrics — they need risk signals, Why Cybersecurity Is Now a Business Strategy, Not Just IT?, Where Senior Leaders Are Struggling with AI Adoption, According to Research, and more! Show Notes: https://securityweekly.com/bsw-437

Stay informed on current events, visit www.NaturalNews.com - Marco Rubio's Shocking Revelation on US Munitions (0:00) - Iran's Military Capabilities and US Vulnerabilities (8:08) - Trump's False Claims and US Military Strain (11:33) - Economic and Political Implications of US-Iran Conflict (26:47) - Professor Jiang's Analysis on US-Iran Conflict (27:25) - Potential for US Ground Troops in Iran (42:10) - Trump's Motivations and the Future of the US Empire (51:11) - China's Technological Advancements and US Industrial Decline (59:43) - Impact of AI on US Jobs and Economy (1:12:03) - Final Thoughts and Preparedness for the Future (1:13:12) - Automation and Its Impact on Jobs (1:13:57) - Concerns About Universal Basic Income (1:20:58) - Economic Control and the Stanford Prison Experiment (1:23:48) - Government's War Against Its Citizens (1:27:13) - Foreign Policy and YouTube Channel (1:30:04) Watch more independent videos at http://www.brighteon.com/channel/hrreport  ▶️ Support our mission by shopping at the Health Ranger Store - https://www.healthrangerstore.com ▶️ Check out exclusive deals and special offers at https://rangerdeals.com ▶️ Sign up for our newsletter to stay informed: https://www.naturalnews.com/Readerregistration.html Watch more exclusive videos here:

AI isn't about replacing people — it's about unlocking productivity and making customer experiences feel more human. On this episode of Right About Now, Ryan Alford sits down with Vinod Muthukrishnan, VP & GM of Webex Customer Experience at Cisco, to discuss how AI is transforming customer experience from fragmented interactions into continuous, context-driven conversations. Vinod explains why the purpose of AI in CX is not efficiency alone — it's humanization. From “concierge agents” that become the face of a brand to agentic systems that orchestrate complex multi-step requests across departments, this conversation explores the end of CX silos and the rise of intelligent, brand-aligned AI interfaces. They also tackle the real question everyone's asking: is AI taking jobs — or elevating them? Key Takeaways AI should make CX more human. Automation should enhance context, empathy, and continuity — not remove them. Context is the missing link in customer loyalty. Most brands reset conversations every time. AI fixes that. Concierge agents become the brand. They orchestrate backend systems while delivering one seamless customer conversation. Agentic AI moves beyond tasks. It executes complex, multi-step “jobs” across systems over time. AI won't replace humans — but AI-powered humans will win. Repetitive work declines. Strategic expertise rises. Connect With the Guest Vinod Muthukrishnan VP & GM, Webex Customer Experience – Cisco X: https://x.com/Vinod_CC LinkedIn: https://www.linkedin.com/in/vinodmkrishnan Connect With Ryan Ryan Alford Website: https://ryanisright.com Instagram: https://www.instagram.com/ryanalford LinkedIn: https://www.linkedin.com/in/ryan-alford

A part of the Techish Live Show that happened in London, 25TH March 2026.Exploring the future of AI, market disruptions, and strategies for navigating the evolving tech landscape. Insights range from market predictions to practical tips for builders and entrepreneurs.Chapters00:00 Introduction: Exploring AI's Future Impact00:25 Fictional Memo from 2028: A Workforce Apocalypse00:54 Market Cap Losses and AI's Disruptive Power01:18 Rational Agents and Transactional Shifts in Payment Systems01:48 Stock Market Predictions and Investor Sentiment02:03 The Hysteria Around Market Predictions02:29 The Role of Journalism and Fiction in Market Perceptions02:51 Long-term Investment Strategies and Index Funds03:40 Consumer Economy and AI Automation's Limits03:47 Universal Basic Income and AI's Economic Impact04:14 Global South Economies and AI Transformation04:32 The Fantasy of Building Personal Software05:03 Corporate Software Development and CTO Decisions05:44 The Reality of Enterprise Software Procurement06:55 Legacy Languages and AI Compatibility07:42 AI and Military/Surveillance Use Cases08:34 The Disruption of Entry-Level Jobs and Education09:22 Unemployment Trends in Hospitality and Retail10:30 AI's Role in Workplace Disillusionment and Diversity11:38 Changing Company Structures and Skill Requirements12:24 Automation and Talent Demand in Small Businesses13:32 Global Political Instability and Corporate Risk Management14:11 The Remote Work Hustler and Ethical Questions15:21 The Rise of Multi-Job Hustlers and Ethical Concerns16:07 Full Stack Builder: A New Role for Product Managers16:47 Security Risks of Agentic AI and OpenClaw18:00 Practical AI Tools for Builders and Entrepreneurs19:01 Opportunity in AI: Accelerated Development or Capitalism?19:45 Human Creativity vs Capitalistic AI Tools20:37 The Shift in Young Adults' Social and Career Habits21:35 Tychogenic Lifestyle: Increasing Luck and OpportunitiesThe Path to ExitFounders—thinking of selling or raising capital? Here's what you should know... Listen on: Apple Podcasts SpotifySupport the showJoin our Patreon for early content, extra-long episodes and ad-free content: https://www.patreon.com/techish Watch us on YouTube: https://www.youtube.com/@techishpod/Advertise on Techish: https://goo.gl/forms/MY0F79gkRG6Jp8dJ2———————————————————— Stay in touch with the hashtag #Techishhttps://www.instagram.com/techishpod/https://www.instagram.com/abadesi/https://www.instagram.com/michaelberhane_/ Email us at techishpod@gmail.com

Welcome to Barn Talk! In this episode, Tork and Sawyer bring the heat with their Hot Topics round-up, tackling everything from the realities in today's AG economy to the latest political buzz and cultural shifts. They dig into the newest farm bill, the struggles with rising input costs, and the truth behind government bailout checks. You'll also hear their unfiltered takes on John Deere's big equipment reveal, the ongoing consolidation of dealerships, and how automation is shaking up rural life.Plus, stick around for market updates, the “Sawyer Spotlight” covering everything from podcast recommendations to the wild world of dating in 2026, and a taste test in the return of the Whiskey Minute. If you want honest, working-class Midwest opinions on what's really happening in agriculture and beyond, this is the episode you can't miss.SUBSCRIBE TO THE PODCAST ➱ https://bit.ly/3a7r3nR  SUBSCRIBE TO THIS'LL DO FARM ➱ https://bit.ly/2X8g45cLISTEN ON:SPOTIFY ➱ https://open.spotify.com/show/3icVr4KWq4eUDl7Oy60YMY APPLE ➱ https://podcasts.apple.com/us/podcast/barn-talk/id1574395049Follow Behind The Scenes

Original Air Date: 3-1-2024 We don't have to think too hard to understand the fears of a world in which work, and the ability of millions to support themselves, are lost to automation and artificial intelligence. But that is only a capitalist future in which the benefits of technological advancement are hoarded by the already-wealthy. Today we imagine a different path. Be part of the show! Leave a voice message, message us on Signal at the handle bestoftheleft.01, or email Jay@BestOfTheLeft.com Full Show Notes Check out our new show, SOLVED! on YouTube! BestOfTheLeft.com/Support (Members Get Bonus Shows + No Ads!) Use our links to shop Bookshop.org and Libro.fm for a non-evil book and audiobook purchasing experience! Join our Discord community! SHOW NOTES Ch. 1: Introduction to Inventing the Future: Postcapitalism and a World Without Work by Srnicek & Williams - Dank Audio Stash - Air Date 4-8-21 Introduction to Inventing the Future: Postcapitalism and a World Without Work by Nick Srnicek and Alex Williams Ch. 2: The People's Republic of Walmart Interview with Leigh Phillips and Michal Rozworski - Novara Media - Air Date 6-13-19 Since the demise of the USSR, the mantle of the largest planned economies in the world has been taken up by the likes of Walmart, Amazon and other multinational corporations. Ch. 3: The Two Futures Of Automation Capitalism VS Socialism - Second Thought - Air Date 12-15-21 With jobs being automated and handed off to machines at an ever-increasing pace, it's only natural to consider what our future will look like. Ch. 4: Planet of the Robots: Four Futures of AI (Documentary) - 1Dime - Air Date 10-15-21 In this video we will be discussing automation, which is often confused with being the 'technological revolution' in it of itself as it is what the mainstream focuses on, and for good reason, as how we handle automation will determine the trajectory or co Ch. 5: Universal Basic Income Explained (An Automation Solution) - Futurology - Air Date 5-28-24 With jobs being automated and handed off to machines at an ever-increasing pace, it's only natural to consider what our future will look like. Ch. 6: The Two Futures Of Automation Capitalism VS Socialism Part 2 - Second Thought - Air Date 12-15-21 In this video we will be discussing automation, which is often confused with being the 'technological revolution' in it of itself as it is what the mainstream focuses on, and for good reason, as how we handle automation will determine the trajectory or co Ch. 7: Universal Basic Income Explained (An Automation Solution) Part 2 - Futurology - Air Date 5-28-24 Since the demise of the USSR, the mantle of the largest planned economies in the world has been taken up by the likes of Walmart, Amazon and other multinational corporations. Ch. 8: The People's Republic of Walmart Interview with Leigh Phillips and Michal Rozworski Part 2 - Novara Media - Air Date 6-13-19 Ch. 9: The People's Republic of Walmart Interview with Leigh Phillips and Michal Rozworski Part 3 - Novara Media - Air Date 6-13-19 SHOW IMAGE CREDITS:  Description: Photo of a patch on a backpack that says "What would you do if your income were taken care of?" Credit: "Berlin UBI March" by Patrick Maynard, Flickr | License: CC BY-SA 2.0 | Changes: Cropped   Produced by Jay! Tomlinson Visit us at BestOfTheLeft.com Listen Anywhere! BestOfTheLeft.com/Listen Listen Anywhere! Follow BotL: Bluesky | Mastodon | Threads | X Like at Facebook.com/BestOfTheLeft Contact me directly at Jay@BestOfTheLeft.com