Podcasts about Automation

In this episode of Confessions of Supply Chain Executives, host Chris Walton sits down with Amir Khoshniyati, Vice President at Wiliot, to break down the five supply chain trends that will actually matter in 2026. Every January, supply chain executives make bold predictions. AI will transform everything. Automation will solve labor shortages. Real-time visibility will finally arrive. And by December, most of those predictions turn out to be wildly optimistic or completely off-target. But 2026 may be different. Retail is approaching a true convergence point where Physical AI, real-time item location, generative and agentic AI, grocery e-commerce acceleration, and mounting regulatory pressure are all colliding at the same time. The result is a potential restructuring of how supply chains operate. Drawing from his work with some of the world's largest retailers, including Walmart, Amir shares what is actually being deployed versus what is still sitting in PowerPoint decks, and why the real driver of change is not hype. It is quantified pain. This episode examines whether we are at a true inflection point and what executives must prioritize right now to avoid falling behind. Key Topics Covered: • Why 2026 could be a true supply chain inflection point • What “Physical AI” really means and how it differs from traditional IoT • Where adoption stands today, pilot purgatory or scaled deployment • The BLE vs. RFID debate and why it may not be either or • Why real-time item location is moving from nice to have to mission critical • How generative and agentic AI intersect with physical supply chain data • When AI agents may begin making autonomous inventory and fulfillment decisions • Why grocery e-commerce is a forcing function for real-time visibility • How perishability, waste, and margin pressure are reshaping tracking needs • The impact of FSMA and growing traceability mandates • Whether compliance will become a competitive advantage • The uncomfortable truth retailers may not want to hear about these trends If you are a supply chain executive with limited budget and bandwidth, this episode delivers a clear message. Start with your pain, quantify it, and build your visibility foundation first.

We've all been told to just be yourself. But psychologist and author Tomas Chamorro-Premuzic—Chief Innovation Officer at ManpowerGroup and professor at UCL and Columbia—says that's the worst advice you can take. In his new book, Don't Be Yourself: Why Authenticity Is Overrated (and What to Do Instead), he reveals why our obsession with authenticity is holding us back—and what actually leads to success. What You'll Learn in This Episode Why "just being yourself" is often the worst professional advice you can receive The coffee drinker model for balancing your raw personality with social expectations How to use emotional intelligence as a strategic filter for better leadership Why high-performing leaders often act more like method actors than authentic versions of themselves How to navigate the tension between human authenticity and AI-generated content Episode Chapters (00:00) Intro (01:21) The Myth of Objective Authenticity (02:50) Leaders as Method Actors (04:01) Comparing Personal and Restaurant Brands (05:53) The Rigidity of "Telling It Like It Is" (07:06) Understanding Authenticity Traps (10:11) Emotional Intelligence vs. Authenticity (13:22) The Coffee Drinker Model Explained (15:35) Adaptability in the Workplace (18:14) Cultural Differences in Authenticity (22:27) Authenticity in the Age of AI (26:43) Why Benetton Made Him Smile About Tomas Chamorro-Premuzic Tomas Chamorro-Premuzic is the Chief Innovation Officer at ManpowerGroup, a professor of business psychology at University College London and at Columbia University, a cofounder of Deeper Signals, and an associate at Harvard's Entrepreneurial Finance Lab. He is the author of several books, including Why Do So Many Incompetent Men Become Leaders? (and How to Fix It), upon which his popular TEDx talk was based, and I, Human: AI, Automation, and the Quest to Reclaim What Makes Us Unique. What Brand Has Made Tomas Smile Recently? Tomas recently found inspiration in the history of the Italian fashion brand Benetton. He was fascinated by the brand's founder, Luciano Benetton, who pioneered fast fashion and used provocative, moral-driven advertising campaigns to address diversity and inclusion long before they were mainstream corporate pillars. Resources & Links Connect with Tomas on LinkedIn. Check out his book, Don't Be Yourself, the Manpower website, and his own Dr. Tomas website. Watch or listen on Apple Podcasts, Spotify, YouTube, Amazon/Audible, TuneIn, and iHeart. Rate and review on Apple Podcasts and Spotify to help others find the show. Share this episode — email a friend or colleague this episode. Sign up for my free Story Strategies newsletter for branding and storytelling tips. On Brand is a part of the Marketing Podcast Network. Listen & Support the ShowUntil next week, I'll see you on the Internet! Learn more about your ad choices. Visit megaphone.fm/adchoices

Billy Klein went from working 60-80 hour weeks as an EY auditor to helping build FloQast Transform—the fastest-growing product in FloQast history. In this episode, he breaks down how accounting teams are actually implementing AI automation, what makes AI auditable, and why most accountants want to build their own workflows (not outsource to IT).

In this episode, Steve Fretzin and Sarah Persich discuss: Investing time instead of just spending it Fixing systems before layering on automation Building a connected tech stack that talks to itself Using AI strategically while managing risk   Key Takeaways: High-performing firms focus on building systems that multiply their time rather than endlessly grinding through tasks. Automation, documented workflows, and thoughtful process design “buy back” hours every week. The goal is long-term leverage, not short-term busyness. Most lawyers do not have an automation problem first; they have a clarity problem around roles, processes, and workflows. Undefined responsibilities and undocumented systems cause time leaks long before software can solve anything. Strong foundations make automation effective instead of chaotic. A solid CRM, practice management system, and an integration layer like Zapier allow firms to eliminate repetitive manual work. Open APIs and thoughtful integrations turn scattered tools into a coordinated system. When payments, contracts, intake, and follow-ups connect seamlessly, administrative drag disappears. AI becomes powerful when prompts are specific, voice is clearly defined, and systems are documented with tools like Loom and structured SOPs. Custom prompts or GPT setups help maintain brand consistency and save substantial time on drafting and research. At the same time, firms must weigh confidentiality, compliance, and ethical considerations before deploying AI at scale.   "I still stayed in my comfort zone for a little while, and I finally allowed myself to accept being uncomfortable… the big mistake was not going out on my own sooner, and staying in that safety zone and accepting the uncomfortability. And it's been really, really great ever since." —  Sarah Persich   Check out my new show, Be That Lawyer Coaches Corner, and get the strategies I use with my clients to win more business and love your career again.   Ready to go from good to GOAT in your legal marketing game? Don't miss PIMCON—where the brightest minds in professional services gather to share what really works. Lock in your spot now: https://www.pimcon.org/   Thank you to our Sponsor! Rankings.io: https://rankings.io/ Lawyer.com: https://www.lawyer.com/   Ready to grow your law practice without selling or chasing? Book your free 30-minute strategy session now—let's make this your breakout year: https://fretzin.com/   About Sarah Persich: Sarah Persich is a law firm automation strategist and operations expert known as “The Automation Lady.” With nearly a decade of experience inside a small law firm, she began her career as a legal assistant. She grew into the integrator role, serving as the operational second-in-command responsible for systems, technology, and process design. Her hands-on experience managing IT, workflows, and firm infrastructure gave her a front-row seat to the inefficiencies that quietly drain time and profitability from growing practices. Over time, she transitioned from internal operations leadership into marketing and automation strategy, helping firms move beyond reactive task management and toward intentional system design. Today, Sarah works with law firms to implement CRMs, streamline practice management systems, build automations, and document scalable processes. She helps attorneys distinguish between high-value strategic work and repetitive administrative tasks, enabling them to reclaim time, improve client experience, and build firms that operate with clarity instead of chaos.   Connect with Sarah Persich:  Website: https://www.automationlady.com/ LinkedIn: https://www.linkedin.com/in/sarahpersich/   Connect with Steve Fretzin: LinkedIn: Steve Fretzin Twitter: @stevefretzin Instagram: @fretzinsteve Facebook: Fretzin, Inc. Website: Fretzin.com Email: Steve@Fretzin.com Book: Legal Business Development Isn't Rocket Science and more! YouTube: Steve Fretzin Call Steve directly at 847-602-6911   Audio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it.

I remember when Nextel first launched its "push-to-talk" walkie-talkie feature back in the late 90s. It mostly resulted in people yelling into their phones at the mall, and it honestly made me hate the idea of talking to my phone in public for decades. But things have changed.Between the rise of asynchronous communication and the power of AI transcription, I've found that talking to my phone is actually one of the best ways to stay productive while I'm away from my desk.In this episode, I'm breaking down why I've embraced talking to my phone. I'll share the two specific apps that have simplified my workflow—Whisper Memos and Todoist's Ramble feature—so I can capture context, brain dump my shutdown routines, and turn spoken ideas into actionable tasks without losing a single thought.Is your tech stack helping you or just adding to the noise? Take my free tech stack assessment to see if your tools are actually worth it at streamlined.fm/tools.Show Notes**Whisper Memos:** The iOS app I use for high-quality transcription and custom summaries.**Todoist:** My go-to task manager, specifically using the new "Ramble" feature for voice-to-task entry.Video: Todoist Killed My Favorite Automation (and I'm Happy About It)Streamlined Feedback: Share how you use voice notes at streamlinedfeedback.comTech Stack Assessment: Get clarity on your tools at streamlined.fm/tools Simplify your tech stack at  https://streamlined.fm/tools ★ Support this podcast ★

Most agents won't survive 2026. And it won't be because of AI or the market. It'll be because they never actually learned how to build real trust with their clients.In this episode, I break down the ONE thing that will determine whether you succeed in real estate in 2026 — and it has nothing to do with your CRM, brokerage, or marketing.The real estate industry is changing fast. AI is everywhere. Automation is normal. Consumers are smarter than ever. Commission pressure is real.When information becomes free and marketing becomes commoditized, the only thing that separates agents is character.In this episode, we break down: • Why transactional agents will struggle in 2026 • The difference between selling and advising • How caring actually becomes a competitive advantage • The CARE framework for building long-term trust • How to turn relationships into predictable incomeIf you're serious about building a real estate business that compounds — not just chasing the next deal — this is for you.⏱ TIMESTAMPS 0:00 – Most Agents Won't Survive 2026 0:19 – The One Adjustment That Changes Everything 0:52 – The One Thing You Need in 2026: Care 1:13 – Will AI Replace Agents? (Real Talk) 1:54 – The Expert Isn't the Solution — Care Is 2:31 – My Listing Appointment “No CMA” Approach 3:16 – AI Has No Empathy (Why That Matters) 3:28 – What Caring Actually Means (Real Example) 6:12 – 2026: Higher Standards, Less Transactional 9:49 – The CARE Framework (Consult, Advise, Relationships, Extend) 15:42 – 2026 Rewards Trust (Not Noise) 16:03 – Next Video: CRM That Supports This 16:12 – Final Recap + Outro

In this episode of the VRMA Arrival Podcast, Pierre Camille Hamana, CEO and founder of Hospitable, joins us to unpack key findings from Hospitable's newly released 2026 STR Industry Report and what they signal for hosts and professional property managers.Hamana explains why 2025 was a revealing year for the industry, marked by “stacked pressures” that included rising operating costs, softening demand, staffing challenges, and economic uncertainty. Rather than facing isolated problems, many operators experienced multiple constraints at once, forcing a renewed focus on discipline, efficiency, and day-to-day execution.Despite those headwinds, confidence remains intact. Nearly 60% of surveyed hosts and property managers plan to expand their portfolios in 2026, reflecting long-term belief in short-term rentals as a durable asset class. The challenge, Hamana says, isn't demand for the product itself, but whether operators have the systems in place to deliver consistent performance and reliable financial returns.A major theme of the conversation is the evolving role of technology. Property management software is no longer just about channel distribution; it's becoming an operating system for housing—centralizing pricing, guest communication, team coordination, device control, and owner reporting. Automation, AI, dynamic pricing, and smart devices are now core infrastructure, not optional add-ons.Hamana also shares practical advice for mid-size property managers planning for the year ahead, emphasizing operational efficiency over growth at all costs. Without strong systems, he warns, expansion only amplifies existing weaknesses. The operators best positioned for 2026 will be those who reduce variable costs, automate aggressively, maintain service quality at scale, and make their value to owners visible through clear reporting and performance metrics.

On Hands-On Tech, Mikah guides Bob with some ways to streamline his process of scanning his physical recipe cards into importable files for his recipe manager app. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: shopify.com/hot

On Hands-On Tech, Mikah guides Bob with some ways to streamline his process of scanning his physical recipe cards into importable files for his recipe manager app. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: shopify.com/hot

On Hands-On Tech, Mikah guides Bob with some ways to streamline his process of scanning his physical recipe cards into importable files for his recipe manager app. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: shopify.com/hot

On Hands-On Tech, Mikah guides Bob with some ways to streamline his process of scanning his physical recipe cards into importable files for his recipe manager app. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: shopify.com/hot

On Hands-On Tech, Mikah guides Bob with some ways to streamline his process of scanning his physical recipe cards into importable files for his recipe manager app. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: shopify.com/hot

On Hands-On Tech, Mikah guides Bob with some ways to streamline his process of scanning his physical recipe cards into importable files for his recipe manager app. Don't forget to send in your questions for Mikah to answer during the show! hot@twit.tv Host: Mikah Sargent Download or subscribe to Hands-On Tech at https://twit.tv/shows/hands-on-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord. Sponsor: shopify.com/hot

Alexander Embiricos is the Head of Codex at OpenAI, leading the development of the company's flagship AI coding systems that power automated software generation, debugging and developer workflows. Under his leadership, Codex has become one of the most widely adopted AI developer platforms.  AGENDA: 05:13 Will Coding Be Automated? Why AI Could Create More Engineers, Not Fewer 07:17 Do We Need PMs? The "Undefined" Product Role and When It Matters 08:06 The Real AGI Bottleneck: Human Prompting, Validation, and "Too Much Effort" 13:04 Three Phases of Agents: Coding → Computer Use → Productized Workflows 13:52 Enterprise Reality Check: Security, Permissions, and Safe Agentic Browsing 17:57 Is Inference the New Sales and Marketing?  18:49 What % of Codex Was Written by AI? 21:33 Do OpenAI Use AI for Code Review? 23:31 Is there any stickiness to AI coding tools? 28:22 What Does "Winning" Mean at OpenAI? Mission, Competition, and Moats 32:04 The Future UI: Chat or Voice 34:10 Agent-to-Agent Workflows: Designing for Approvals, Compliance, and Automation 35:39 Do Coding Models Have a Data Moat? 36:50 How does Codex View Data: Will They Build Their Own Mercor and Turing? 37:27 How Does Codex View Consumer: Will They Compete with Lovable? 41:56 Benchmarks vs "Vibes": How People Actually Judge Models 42:43 Cursor's Edge and the Case for Building Your Own Models 47:37 Is SaaS Dead? What Still Defends Value (Humans + Systems of Record) 51:28 Talent Wars and Career Advice for New Engineers in the AI Era 01:01:03 Guardrails, the Fully AI-Managed Stack, and a 10-Year Vision for Everyone      

In this episode, Daniel Metcalf and Mike Stromsoe discuss the challenges and opportunities faced by independent insurance agencies as they scale. They emphasize the importance of visibility in understanding progress, the current landscape of AI in the industry, and the need for predictive analysis to drive future growth. The discussion also highlights the significance of leadership, structure, and technology in overcoming fragmentation and achieving sustainable growth.Key takeaways:You're not behind, you just can't see it.Visibility is crucial for understanding agency progress.83% of agencies have used AI, but only 10% see ROI.Clarity of vision is essential for agency growth.Revenue growth without system growth feels like falling behind.Leadership must evolve as agencies scale.Fragmentation can hinder agency efficiency and growth.Predictive analysis can help agencies plan for the future.Technology should complement human efforts, not replace them.Agencies need to identify and address workflow gaps. Chapters:00:00 Unlocking Potential in Insurance Agencies03:11 Visibility: The Key to Progress05:51 AI in Insurance: The Current Landscape08:51 Predictive Analysis: Looking Ahead12:03 Overcoming Fragmentation in Growth15:12 Leadership and Structure in Scaling Agencies17:59 The Role of Technology in Agency Growth21:01 Final Thoughts and Future Opportunities

In this episode of the Shift AI Podcast, Scott Roberts, CISO at UiPath, joins host Boaz Ashkenazy for a deep dive into how agentic AI is reshaping enterprise security and automation—both for customers and inside UiPath itself.Scott shares his 25-year security journey spanning Microsoft's early Security Response Center days (including the era that produced Patch Tuesday and the Security Development Lifecycle), product security work across Windows and Xbox, time at AWS, and leadership roles at Google where he helped build the Android Security Assurance and Pixel Security teams and the Android Monthly Security Update process. He also discusses his work in security standards across IPsec, HTML5 encrypted media, GSMA device security, and most recently, contributions to emerging agentic AI security standards.The conversation then explores UiPath's evolution from traditional RPA into a unified platform that combines deterministic automation with agentic workflows. Scott walks through a real-world healthcare billing example where agentic automation increased deduplication accuracy dramatically by handling complex, variable inputs that classic RPA struggled with—while still keeping humans in the loop and feeding outcomes back into the system to improve over time.Boaz and Scott go deep on what's changed for CISOs in the post-LLM world: the need for guardrails, identity and entitlements for AI agents, and the challenge of end users copying sensitive information into consumer AI tools. Scott explains UiPath's approach: enable adoption while using nudges and policy controls to redirect sensitive workflows into enterprise-safe environments rather than relying solely on blocks.The episode closes with an eye-opening look at UiPath's internal “agentic threat analyst” system—an orchestration of 60+ agents that can investigate SIEM alerts end-to-end, generate structured incident writeups, and compress hours of analyst work into roughly a minute and a half. Scott's future-looking takeaway: as AI models evolve beyond “read-only” into potentially “read-write” systems that can update their foundational knowledge, the acceleration could be truly mind-blowing.This episode is essential listening for security leaders, enterprise operators, and automation teams trying to understand how agentic systems change not just productivity, but the entire security operating model.Chapters[00:01] Scott's Security Journey: Microsoft, Google, Coinbase, UiPath[01:33] Security Standards Work: From IPsec to Agentic AI Standards[04:08] What UiPath Does: Process Orchestration, RPA, and Enterprise Automation[06:28] RPA vs Agentic Automation: A Healthcare Billing Deduplication Example[09:17] The Agentic Stack: Canvas, Guardrails, and the AI Trust Layer[10:31] How LLMs Change Security: Data Controls, Access, and Governance[12:14] Internal Adoption at UiPath: AI Tooling by Persona (Legal, Finance, Engineering)[13:13] Code Velocity and Security: Agents Generating Code, Agents Verifying It[15:53] Two AI Security Worlds: Orchestration Platforms vs End-User Chat Interfaces[17:11] Securing End Users: Enterprise LLMs, Nudges, and Browser-Based Controls[19:07] Sovereign AI and Data Boundaries: Keeping Data in the Right Region[21:00] Over-Permissioning Meets Agents: Why AI Makes Old Problems Obvious Fast[22:21] The Next Wave: AI Transforming the Entire SDLC End-to-End[24:53] Security Pitfalls in Agentic SDLC: Misaligned Incentives and Permissions[26:02] UiPath's Agentic Threat Analyst: 60+ Agents, SIEM to Writeup Automation[30:07] What Changes for Humans: Faster “Time to Truth” and Higher-Leverage Work[32:09] Two-Word Future: “Mind Blowing” and Read/Write ModelsConnect with Scott RobertsLinkedIn: https://www.linkedin.com/in/scottroberts6/Connect with Boaz AshkenazyLinkedIn: https://www.linkedin.com/in/boazashkenazy/Email: info@shiftai.fm

In this episode of the Crazy Wisdom podcast, host Stewart Alsop sits down with Markus Buehler, the McAfee Professor of Engineering at MIT, to explore how seemingly different systems—from proteins and music to knowledge structures and AI reasoning—share underlying patterns through hierarchy, self-organization, and scale-free networks. The conversation ranges from the limits of current AI interpolation versus true discovery (using the fire-to-fusion example), to the emergence of agent swarms and their non-linear effects, to practical questions about ontologies, knowledge graphs, and whether humans will remain necessary in the creative discovery process. Markus discusses his lab's work automating scientific discovery through AI agents that can generate hypotheses, run simulations, and even retrain themselves, while Stewart shares his own experiences building applications with AI coding agents and grapples with questions about intellectual property, material science constraints, and the future of human creativity in an AI-abundant world.Timestamps00:00 - Introduction to Marcus Buehler's work on knowledge graphs, structural grammar across proteins, music, and AI reasoning05:00 - Discussion of AI discovery versus interpolation, using fire and fusion as examples of fundamental versus incremental innovation10:00 - Language models as connective glue between agents, enabling communication despite imperfect outputs and canonical averaging15:00 - Embodiment and agency in AI systems, creating adversarial agents that challenge theories and expand world models20:00 - Emergent properties in materials and AI, comparing dislocations in metals to behaviors in agent swarms25:00 - Human role-playing and phase separation in society, parallels to composite materials and heterogeneity30:00 - Physical world challenges, atom-by-atom manufacturing at MIT.nano, limitations of lithography machines35:00 - Synthetic biology as alternative to nanotechnology, programming microorganisms for materials discovery40:00 - Intellectual property debates, commodification of AI models, control layers more valuable than model architecture45:00 - Automation of ontologies, agent self-testing, daughter's coding success at age 1150:00 - Graph theory for knowledge compression, neurosymbolic approaches combining symbolic and neural methods55:00 - Nonlinear acceleration in AI, emergence from accumulated innovations, restaurant owner embracing AI01:00:00 - Future generations possibly rejecting AI, democratization of knowledge, social media as real-time scientific discourseKey Insights1. Universal Patterns Across Disciplines: Seemingly different systems in nature—proteins, music, social networks, and knowledge itself—share fundamental structural patterns including hierarchy, self-organization, and scale-free networks. This commonality allows creative thinkers to draw insights across disciplines, applying principles from one domain to solve problems in another. As an engineer and materials scientist, Buehler has leveraged these isomorphisms to advance scientific understanding by mapping the "plumbing" of different systems onto each other, revealing hidden relationships that enable extrapolation beyond what's observable in any single domain.2. The Discovery Versus Interpolation Problem: Current AI systems, particularly large language models, excel at interpolation—recombining existing knowledge in new ways—but struggle with genuine discovery that requires fundamental rewiring of world models. Using the example of fire versus fusion, Buehler explains that an AI trained on combustion chemistry would propose bigger fires or new fuels, but couldn't conceive of fusion because that requires stepping back to more fundamental physics. True discovery demands the ability to recognize when existing theories have boundaries and to develop entirely new frameworks, something current AI architectures aren't designed to achieve due to their training objective of predicting the most likely outcome.3. The Role of Ontologies and Knowledge Graphs: While some AI researchers argue that ontologies are unnecessary because models form internal representations, Buehler advocates for explicit knowledge graphs as essential discovery tools. External ontologies provide sharp, analytical, symbolic representations that complement the fuzzy internal representations of neural networks. They enable verification of rare connections—like obscure papers that might hold key insights—which would be averaged away in standard AI training. This neurosymbolic approach combines the generalization capabilities of neural networks with the precision of formal knowledge structures, creating more powerful discovery systems.4. Emergent Properties and Agent Swarms: Just as materials science shows that collections of atoms exhibit properties impossible to predict from individual components, AI agent swarms demonstrate emergent behaviors beyond single models. When agents are incentivized not just to answer questions but to challenge each other adversarially, propose theories, and test hypotheses, they can spawn new copies of themselves and evolve understanding beyond their initial programming. This emergence isn't surprising from a materials science perspective—dislocations, grain boundaries, and other collective phenomena only appear at scale, fundamentally determining material behavior in ways unpredictable from studying just a few atoms.5. The Commoditization of Intelligence: The fundamental AI models themselves are becoming commodities, as evidenced by events like the Moldbug phenomenon where people built agents using various providers interchangeably. The real value is shifting from who has the smartest model to how models are orchestrated, integrated, and deployed. This parallels historical technology adoption patterns—just as we moved past debating who makes the best electricity to focusing on applications, AI is transitioning from a horse race over model capabilities to questions of infrastructure, energy, access speed, and agent coordination at the systems level.6. Human-AI Collaboration and Creative Control: Rather than wholesale replacement, AI enables humans to operate in an intensely creative space as orchestrators sampling from vast possibility spaces. Similar to how Buehler's 11-year-old daughter now builds sophisticated applications that would have required professional developers years ago, AI democratizes access to capabilities while humans retain the creative judgment about direction and meaning. The human role becomes curating emergence, finding rare connections, playing at the edges of knowledge, and exercising the kind of curiosity-driven exploration that AI systems lack without embodied stakes in their own survival and continuation.7. Technology as Evolutionary Inevitability: The development of AI represents not an unnatural threat but the next stage of human evolution—an extension of our innate drive to build models of ourselves and our world. From cave paintings to partial differential equations to artificial intelligence, humans continuously create increasingly sophisticated representations and tools. Attempting to stop this technological evolution is futile; instead, the focus should be on steering it ...

It was a blast having the “MIS King” himself, Esteban Garcia from CERM, in the studio! We dove deep into the belly of the beast: MIS implementation. If you've ever switched software, you know it's not just “plug and play”—it's a journey.Here are the highlights and key takeaways from our conversation:

In this conversation, Rob Arden discusses the integration of AI in real estate, emphasizing its importance for lead generation and follow-up. He highlights how AI can provide leverage for agents, allowing them to contact more potential clients efficiently. The discussion also covers the significance of nurturing leads over time, especially for new agents, and the need for intentional marketing strategies. Rob introduces the Apex Real Estate AI Kit, designed to streamline lead generation and nurturing processes for real estate professionals.   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   —--------------------

Rozeta Atlas of HubSync discusses the IRS's plan to overhaul its legacy IT systems and what a modernized agency may mean for practitioners.For related tax news, read the following in Tax Notes:Palantir Contracts Under Scrutiny Amid IRS Tax Data ControversyIRS Adopts Generative Artificial Intelligence PolicyIRS No-Paper Initiative Jammed by Staffing Issues, Watchdog Says***CreditsHost: David D. StewartExecutive Producers: Jeanne Rauch-Zender, Paige JonesProducers: Jordan Parrish, Peyton RhodesAudio Engineers: Jordan Parrish, Peyton RhodesThis episode is sponsored by the University of California Irvine School of Law Graduate Tax Program. For more information, visit law.uci.edu/gradtax.

Get ready to take your Airtable skills to the next level with expert Martin. In this episode, we dive into the world of Airtable webhooks and explore how to build a schema change log, manage cursors, and handle token expiration. Martin shares his experience and expertise on the benefits and challenges of using webhooks, and we discuss some of the limitations of Airtable webhooks. Whether you're an Airtable enthusiast or a developer, this episode is perfect for anyone looking to master Airtable webhooks.

Get ready to revolutionize your Airtable workflow with AI-powered interfaces. In this episode, we chat with Aly Elosa about the possibilities of generating custom interfaces using Airtable's AI tools. Learn how to harness the power of AI to create tailored interfaces that meet your specific needs. Tune in to discover the benefits and limitations of this exciting feature.

Get ready to explore the latest and greatest in the Airtable universe! In this episode, we're talking about Super Agent, a new product that's got everyone buzzing. We'll dive into its features, limitations, and potential use cases. Plus, we'll showcase some amazing community creations, like a custom interface extension for tracking the Winter Olympics. Join us for a conversation that's all about innovation, creativity, and getting the most out of Airtable.

Get ready to take your Airtable skills to the next level! In this episode, we dive into the world of metadata management with expert Ali. Learn how to create a custom script to track field and table changes, and discover tips for optimizing your base for the upcoming Airtable Hackathon. Whether you're a seasoned pro or just starting out, this episode is packed with valuable insights to help you master Airtable metadata.

Want to learn how to automate repetitive tasks in Airtable? In this episode, Kamille shares a demo of a habit tracker and provides tips and tricks for debugging complex formulas. Learn how to use Airtable to streamline your workflow and increase productivity. From setting up a habit tracker to creating a system for repetitive tasks, this episode covers it all.

Back by popular demand! - Investment researcher, Jason Purcell stopped by to discuss his latest insights into global markets, automation adoption and another financial crisis? Find Jason Purcell:: Substack:⁠⁠ https://purcellresearch.substack.com⁠⁠ Twitter/X: @JasonsDeli1821 Exclusive Content and Ways to Support: Support me on Substack for ad-free content, bonus material, personal chatting and more! https://substack.com/@monicaperezshow Become a PREMIUM SUBSCRIBER on Apple Podcasts for AD FREE episodes and exclusive content! True Hemp Science: ⁠⁠⁠⁠https://truehempscience.com/⁠⁠⁠⁠ PROMO CODE: MONICA Find, Follow, Subscribe & Rate on your favorite podcasting platform AND for video and social & more... Website: ⁠⁠⁠⁠https://monicaperezshow.com/⁠⁠⁠⁠ Substack:⁠⁠⁠⁠ https://substack.com/@monicaperezshow⁠⁠⁠⁠ Rumble: ⁠⁠⁠⁠https://rumble.com/user/monicaperezshow⁠⁠⁠⁠ Youtube: ⁠⁠⁠⁠https://www.youtube.com/c/MonicaPerez⁠⁠⁠⁠ Twitter/X: @monicaperezshow Instagram: @monicaperezshow Learn more about your ad choices. Visit megaphone.fm/adchoices

Ken McLoud is the Founder of Laconic Technology, a technology company focused on helping businesses harness the power of artificial intelligence and custom software to streamline operations, boost efficiency, and unlock growth. Drawing on his experience in AI engineering and strategic consulting, he partners with clients to design solutions that integrate smoothly with existing systems and deliver measurable business results. Prior to founding Laconic Technology, Ken worked as a Design Engineer at Ruger Firearms, where he leveraged his technical expertise to develop innovative products. In this episode… The world of AI-powered tools is evolving rapidly, offering businesses unprecedented opportunities to streamline processes and amplify results. But how can agencies specifically leverage these innovations to boost their lead generation and automation efforts? Can AI truly replace traditional methods, or does it simply enhance them? As a leading expert in AI technology, Ken McLoud explains how AI is transforming businesses by automating tasks that were once time-consuming and manual. He highlights the rise of AI-powered lead magnets as one of the most impactful applications, where agencies can automate the process of attracting potential clients. By using AI to analyze websites, run audits, and generate detailed reports, agencies can both engage users and identify new opportunities with greater precision. The power of these tools lies in their ability to scale processes that were previously bottlenecked by human limitations, enabling agencies to capture more leads with less effort. In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz sits down with Ken McLoud, Founder of Laconic Technology, to talk about AI-powered lead generation and automation for agencies. They discuss how AI is revolutionizing lead generation, the role of AI in solving complex business problems, and how AI-powered lead magnets can increase client engagement. Ken also shares his thoughts on the future of agentic tools and automation.

In this episode of the Health Coach Academy Podcast, we sit down with Maeve Ferguson, former Big Four consultant turned online business strategist, to unpack one of the most underrated but powerful marketing tools in the coaching industry: diagnostic quizzes and score-based assessments. Maeve shares how health coaches, consultants, and experts can transform their intellectual property into scalable lead-qualification systems that attract high-quality, high-ticket clients — without wasting hours on unqualified discovery calls. If you've ever wondered how quizzes actually work behind the scenes — or why some coaches quietly scale to multi-six-figure and seven-figure businesses — this episode pulls back the curtain.

Transform complaints into golden opportunities and bring enthusiasm to your customers by empowering your team to swiftly address friction points.   Embracing change is essential, and it's perfectly fine to reconsider past decisions. Flexibility is key to successfully navigating today's growth landscape. Take proactive steps by delegating responsibilities, launching experiments, and truly listening to your customers — even if you haven't established a perfect system yet.   In this episode, you'll discover that managing energy is just as crucial as having the right systems in place, how to eliminate barriers, and the importance of letting go of processes that hinder growth.    Jess Dewell welcomes Solomon Thimothy, Co-founder and CEO of oneIMS, exploring his journey to uncover BOLD growth opportunities within his company and to redefine the CEO growth strategy through continuous adaptation.   —-----------------   If you want to identify business bottlenecks, the necessary skills, the initial actions to take, the expected milestones, and the priorities for achieving growth, try the "Growth Framework Reset" approach. This will help you keep learning and growing while working strategically on your business. -------------------- You can get in touch with Jess Dewell on Twitter,  LinkedIn or Red Direction website.

Welcome back to BuiltOnAir! After a six-month hiatus, we're excited to introduce our new format and catch up on what we've been up to. In this episode, we'll discuss some of the latest updates and features in Airtable, including the ability to display the show name instead of the primary field, labs for detail pages, and the new ChatGPT add-on. We'll also dive into the recent Airtable community-led hackathon and talk about some of the amazing projects that were submitted. Tune in to hear about the latest and greatest in the Airtable community.

Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, technology, and society. Hosts Dave Chapman, Esmee van de Giessen, and Rob Kernahan unpack 2026's defining trends, from AI and sovereignty to adaptability and automation, offering fresh insight, candid reflections, and forward‑looking conversations shaping the year ahead. TLDR00:20 – Introduction of Realities Remixed02:30 – Why the show evolved?04:50 – Dig in with the team: Predictions for 202606:40 – Macro trends13:00 – Sovereignty 17:40 – Agentic AI22:17 – Human–AI interaction26:06 – Cloud trends30:42 – AI scaling, domain‑specific models35:03 – Adoption lag39:34 – Physical AI43:47 – Quantum computing48:21 – Hardware acceleration50:30 – Cybersecurity52:38 – Season outlook 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

Horst Schulze explains what never changes in business and what must evolve. From plastic room keys to AI check-ins, he reveals how leaders balance timeless human service with changing technology, and why true hospitality can never be replaced by automation or trends.

In this episode, Dr. Don Capener reveals Chang Robotics' proven methodology for integrating AI and robotics without workforce resistance. His counterintuitive insight: automation should eliminate tasks, not jobs. Learn why starting with stakeholder workshops prevents implementation disasters, how transparency builds trust faster than any marketing campaign, and why treating failure as data—not disaster—accelerates innovation

In this episode of Great Women in Compliance, Dr. Hemma R. Lomax speaks with Sam Flynn, co-founder of Josef, about the transformation of legal and compliance functions through technology. They discuss the importance of human-centered design, the role of AI in legal architecture, and the need for trust in AI tools. Sam shares his journey from creating Myki Fines to building self-service legal solutions that bridge the access-to-justice gap. The conversation emphasizes the importance of user experience, governance practices, and the need to rethink traditional professional roles in the legal field. Takeaways: Legal and compliance functions must evolve to be more human-centered. AI can significantly enhance legal decision-making processes. Trust in technology is crucial for successful implementation. User experience should be prioritized in legal tech solutions. Automation can free up valuable time for legal professionals. Access to justice is a critical issue that can be addressed with technology. Rethinking traditional roles in law can lead to better outcomes. Data-driven insights can improve compliance practices. Collaboration between experts and end-users is essential for success. Legal technology should focus on delivering real value to users. Sound Bites: "AI should unleash human potential." "Trust is the key to unlocking value." "We need to build trust in our technology." Chapters: 00:00 Introduction to Legal Transformation 02:32 The Journey of Sam Flynn and Mickey Finds 05:30 Rethinking Legal Systems and Design 08:10 Substance Over Form in Legal Processes 10:56 The Role of AI in Legal Architecture 13:39 Building a Legal Front Door 16:24 User Experience in Compliance 18:54 Engagement and Data Utilization 21:56 The Future of Legal Workflows 24:29 Deciding Between Automation and Human Input 26:56 Navigating High-Risk Inquiries 27:50 Strategic Automation for Stakeholder Engagement 28:58 The Importance of Human Expertise in AI 30:57 Transforming Fear into Opportunity with AI 32:59 Building Trustworthy AI in Legal Settings 36:56 Governance Practices for AI Deployment 43:51 Access to Justice: Bridging Gaps with Technology Guest Biography: Sam Flynn is the Co-Founder and Chief Operating Officer of Josef, a legal automation platform that empowers legal and compliance teams to create reliable, self-serve tools — no coding required. In his role, Sam leads Josef's business operations, governance, marketing, and customer success functions, scaling both product impact and organizational trust. An ex-BigLaw litigator and experienced legal technologist, Sam has long been passionate about using technology to bridge the access-to-justice gap and elevate the delivery of legal services. In 2016, he built Myki Fines, a public-facing legal tech solution that attracted more than 60,000 users in its first month and helped catalyze reforms to unfair laws. At Josef, Sam combines legal expertise with product and operational leadership to help teams rethink how legal and compliance work gets done — shifting from inbox-driven bottlenecks to strategic architectures that deliver decision-useful guidance at scale. He is a frequent speaker on generative AI in legal, a board member of the Center for Legal Innovation, and an advocate for human-centered legal design.

The Simple Framework That Built Seven Figures And What Scaled It Further Most people believe building wealth requires complex strategies, insider knowledge, or perfect timing. The truth is the foundation is simple. In this episode, I break down the exact system that took our family from zero to seven figures in under eight years. We walk through the three account framework, consistent automation, high income skill development, and intentional frugality. Then we go deeper into what scaled us beyond seven figures. Real estate syndications. Advanced tax planning. Bitcoin as a strategic asymmetric bet. Private equity and business ownership. If you are early in your journey, this gives you the map. If you are already building, this shows you the next phase. Episode Timeline and Highlights 00:00 The wealth blueprint 02:00 Three account system 05:00 Weekly automated investing 07:00 Income growth strategy 09:00 Real estate diversification 13:30 Playing offense with taxes 15:30 Bitcoin allocation strategy 17:00 Private equity and ownership 19:00 Keeping wealth simple Key Takeaways • Wealth starts with simplicity • Automation removes emotion • Income growth fuels investing • Taxes can be used strategically • Ownership scales wealth faster than saving alone Quotables "Make your money work harder than you do." "Wealth is simple. Discipline is rare." "Automate first. Optimize later." If you are just starting, build the foundation. If you are building momentum, evolve the strategy. But do not overcomplicate what works.

In our latest Open Source Startup Podcast episode, co-hosts Robby and Tim talk with Magnus Müller, the Co-Founder & CEO of Browser Use - the platform that makes web agents come to life. Their open source, browser-use, has almost 80K stars on GitHub and is widely adopted. This episode dives into the unexpected rise of an open-source browser automation project that took off during Y Combinator - while many similar projects before and after it never gained traction. The founder reflects on why: delivering a “magical moment” fast. Early demos showing AI controlling a browser, inspired by trends like OpenAI's Operator, and immediately clicked with people. What began as a developer-only Python library evolved into a hosted product as non-technical users - from sales teams to startups - wanted access. Along the way, the team leaned into controversial but compelling use cases, like AI applying for jobs on your behalf, which sparked conversation and accelerated growth. The core challenge they focused on solving was reliability: unlike deterministic automation scripts, AI agents can behave unpredictably, making trust and repeatability central problems to overcome.The long-term vision goes beyond UI automation toward agents that can skip the browser entirely and interact directly with website servers through structured actions. But the conversation isn't just about infrastructure. The founder admits that early growth came mostly from building and talking to users, while recent months have been dedicated to storytelling and marketing rather than coding. A personal through-line emerges as well: learning to replace defensiveness with curiosity - questioning assumptions, staying open to feedback, and continuously refining both the technology and the narrative around it.

I tested the reMarkable 2 with the Type Folio keyboard hoping for a distraction‑free, E‑ink writing experience. It's a great device but I found it wasn't great for my workflow. Here's why. Plus, a new experiment. Let me know your thoughts at https://streamlinedfeedback.com.  Visit https://streamlinedsolopreneur.com/ for more insights.  Is your tech stack helping you or just adding to the noise? Take my free tech stack assessment to see if your tools are actually worth it at https://streamlined.fm/tools Simplify your tech stack at  https://streamlined.fm/tools ★ Support this podcast ★

In Part 2 of this conversation, Paul Windemuller and Todd Thurman pivot from global market forces to the tools and leadership frameworks needed to navigate what comes next. Todd explains how strategic foresight, artificial intelligence, and automation can help livestock systems manage uncertainty—if they are applied with discipline and clarity.The discussion moves beyond hype to focus on where technology is actually delivering value today, how AI can support better decisions rather than replace people, and why the future of livestock production will be shaped by those who can think long-term in an increasingly complex environment.MEET THE GUESTTodd Thurman is an international swine management consultant and the Founder & CEO of Swine Insights International. With over 25 years of global pork industry experience, Todd works with producers and organizations worldwide to translate complex market, biological, and technological challenges into actionable strategy.As a Strategic Foresight Practitioner and Demographic Analyst, Todd helps industry leaders anticipate change rather than react to it, bringing long-term thinking to a sector often dominated by short-term cycles.ABOUT THE PODCASTDiscover 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.(00:00) Strategic foresight explained(05:10) Why agriculture struggles with long-term thinking(10:40) AI hype vs real application(16:30) Automation in livestock systems(22:15) Individual-animal decision-making(28:40) Quality vs quantity in future systems(34:50) Leadership, optimism, and closing thoughts

Automation is quietly reshaping what happens before, during, and after a medical visit, and for many patients it is almost invisible. In this episode of Tomorrow's Cure, host Cathy Wurzer talks with Mayo Clinic physician leader Dr. Anjali Bhagra and human centered AI expert Dr. Ravi Bapna about how automation and artificial intelligence are changing the way care teams work, how patients access care, and what it takes to keep people at the center of these advances. They share real stories from clinic and hospital settings, including tools that automatically generate notes from complex visits, systems that help triage patients more quickly around the world, and AI that supports earlier diagnosis. The conversation also tackles the hard questions around trust, bias, and burnout. Listeners will hear how thoughtful automation can free up time for human connection and why the future of healthcare is people and technology working together in new ways. How to listen and stay connected:• Subscribe to Tomorrow's Cure on your favorite podcast app and follow the show so you never miss an episode.• Get the latest health information from Mayo Clinic's experts—subscribe to Mayo Clinic's newsletter for free today: ⁠https://mayocl.in/3EcNPNc⁠ Connect with Mayo Clinic:• Like Mayo Clinic on Facebook: https://www.facebook.com/mayoclinic/⁠Follow • Mayo Clinic on Instagram: ⁠https://www.instagram.com/mayoclinic/⁠Follow • Mayo Clinic on X (formerly Twitter): ⁠https://x.com/MayoClinic⁠Follow • Mayo Clinic on Threads: ⁠https://www.threads.net/@mayoclinic

Back by popular demand! - Investment researcher, Jason Purcell stopped by to discuss his latest insights into global markets, automation adoption and another financial crisis? Find Jason Purcell:: Substack:⁠ https://purcellresearch.substack.com⁠ Twitter/X: @JasonsDeli1821 Exclusive Content and Ways to Support: Support me on Substack for ad-free content, bonus material, personal chatting and more! https://substack.com/@monicaperezshow Become a PREMIUM SUBSCRIBER on Apple Podcasts for AD FREE episodes and exclusive content! True Hemp Science: ⁠⁠⁠https://truehempscience.com/⁠⁠⁠ PROMO CODE: MONICA Find, Follow, Subscribe & Rate on your favorite podcasting platform AND for video and social & more... Website: ⁠⁠⁠https://monicaperezshow.com/⁠⁠⁠ Substack:⁠⁠⁠ https://substack.com/@monicaperezshow⁠⁠⁠ Rumble: ⁠⁠⁠https://rumble.com/user/monicaperezshow⁠⁠⁠ Youtube: ⁠⁠⁠https://www.youtube.com/c/MonicaPerez⁠⁠⁠ Twitter/X: @monicaperezshow Instagram: @monicaperezshow Learn more about your ad choices. Visit megaphone.fm/adchoices

A Note from Michael: The Thriving Farmer Podcast is currently on pause as we navigate a busy season on the farm. While we're taking this break, we're excited to share Farm in Focus, a special series of short, focused conversations recorded earlier this year. These bite-sized episodes highlight practical insights from farmers and experts across the industry. We hope they're helpful and encouraging as you continue your farming journey. How can technology help farmers save labor, increase efficiency, and monitor their farms in real time? In this Farm in Focus episode, Michael is joined by Nathan Rosenberg, CEO and co-founder of FarmBlox, to explore the biggest trends shaping farm technology today. From robotics to sensors to drones, Nathan breaks down which innovations truly move the needle — and which ones are more hype than help. Nathan explains why labor-saving tools are the top priority for most farms today, how sensors can automate tasks like monitoring maple syrup sap runs, and why theft prevention is becoming a critical need in orchards and high-value crop production. He also shares practical advice for farmers interested in adopting new technology without getting overwhelmed or oversold. Whether you're curious about automation or just want smarter ways to solve farm pain points, this conversation will help you understand what's worth paying attention to — and what to ignore.   In this episode, you'll hear about: Farm Tech Trends: • Why labor is the biggest cost driving innovation [1:53] • Where robotics and remote sensing are making the biggest impact [04:10] Real-World Applications: • How sensors can automate maple syrup production and orchard monitoring [04:32] • Why theft prevention is becoming a major tech need in agriculture [07:20] Drones & Data: • What drones can (and can't) do for farmers [09:55] • Using real-time monitoring to catch issues early [10:50] Practical Advice for Farmers: • Why "start small" is the smartest approach to adopting new tech • How to identify the pain points worth solving before investing About the Guest: Nathan Rosenberg is the CEO and Co-Founder of FarmBlox, a platform that gives farmers tools to build their own automation systems — connecting sensors, equipment, and real-time data to a simple app. With a background in robotics engineering and over a decade of experience building large-scale IoT networks, Nathan brings a deep understanding of how automation, AI, and practical engineering intersect on real farms. Links:

In this episode of Torsion Talk, Ryan Lucia breaks down three simple, affordable ways to use AI in your home service business to generate more revenue—without being overly tech-savvy and without overhauling your entire tech stack. If you've been curious about AI but unsure where to start, this episode gives you practical, actionable steps you can implement in a day or two.Ryan opens with a quick update on upcoming Garage Door U mastermind events and shares lessons learned from implementing accountability at Aaron Overhead Doors. He discusses the hard reality that shifting from low accountability to high accountability creates friction, and why business owners must accept the consequences that come with raising standards.From there, Ryan dives into three AI-powered automations that can immediately impact revenue. The first is missed call text back automation, a simple system that follows up instantly when a call goes unanswered. With over half of small business calls going missed, this single automation can recover lost opportunities, start intelligent conversations, and even book appointments automatically. Ryan explains how this can be done with or without AI and what tech stack makes it easiest to implement.The second strategy is AI-powered review request follow-up. While many field management systems send automated review links, AI can personalize the experience, send the correct Google Business Profile link based on proximity, and escalate negative feedback before it becomes a public review. This turns a standard automation into a reputation-building machine.The third and most impactful tool is AI website chat. Ryan explains why live chat converts at a high rate but often fails small businesses due to slow response times. By integrating AI into website chat, businesses can answer questions instantly, qualify leads, check availability, and engage prospects in real time—without needing someone glued to a screen.Ryan also shares how his team is automating internal processes like commission tracking and explains how tools like HighLevel, Zapier, or Make.com can connect systems when needed. He emphasizes that the key is not trying to automate everything at once, but starting with one simple win and building from there.If you're looking to increase revenue, capture more leads, and modernize your business operations without hiring more staff, this episode gives you a clear and manageable starting point.Find Ryan at:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://garagedooru.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aaronoverheaddoors.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://markinuity.com/⁠Check out our sponsors!Sommer USA - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://sommer-usa.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Surewinder - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://surewinder.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stealth Hardware - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://quietmydoor.com/⁠

Welcome to The Chrisman Commentary, your go-to daily mortgage news podcast, where industry insights meet expert analysis. Hosted by Robbie Chrisman, this podcast delivers the latest updates on mortgage rates, capital markets, and the forces shaping the housing finance landscape. Whether you're a seasoned professional or just looking to stay informed, you'll get clear, concise breakdowns of market trends and economic shifts that impact the mortgage world.In today's episode, we look at the rise of affordability programs like down payment assistance (DPA). Plus, Robbie sits down with TRUE's Steve Butler for a discussion on why lenders start automation too late by focusing on late-stage checks instead of intake, even though most costs are created early, and how to move certainty upstream. And we close by looking at this week's shortened economic calendar.Today's podcast is brought to you by Optimal Blue, the only end-to-end capital markets platform built to power performance, precision, and profitability, helping lenders of all sizes operate more efficiently, manage risk more effectively, and maximize results.

In this episode, Lauren Lewis sits down with Carmelo Morreale, Owner and Partner of Metrodata Services, a nationally accredited pre-employment screening company based in Buffalo, NY. Carm shares his journey from starting as an intern in 2009 to eventually purchasing the company with his business partner in 2022. What started as “just a job” turned into a career rooted in accountability, compliance, and community. Together, Lauren and Carm discuss: The pain points of buying the business you once worked for What national accreditation really means in the background screening industry Why transparency matters — with clients and with your team The real cost of a bad hire (and why screening matters more than ever) Automation, compliance, and how the industry has evolved The importance of consent, privacy, and doing things the right way How strong partnerships (in business and with clients) drive growth Building a team culture rooted in accountability and serviceThey also dive into the nuances of pre-employment screening, from drug testing to international checks to continuous monitoring. They explain why education and customer service are just as important as the report itself.If you're a business owner, HR leader, or hiring manager, this episode offers a practical and honest look at what happens behind the scenes before someone joins your team, and why it matters.

Brent Peterson sat down with Jorrit Steinz, founder and CEO of ChannelEngine, to discuss one of the most transformative shifts in ecommerce today: agentic commerce. The conversation covered how brands and retailers must rethink their multi-channel strategies now that AI-powered agents, from ChatGPT to Microsoft Copilot, are becoming transactional shopping platforms. With marketplaces multiplying, social commerce expanding, and LLMs entering the buying funnel, the episode delivered a forward-looking perspective on what merchants need to do right now to stay competitive.TakeawaysThe ultimate vision of agentic is consumer empowerment.Consumers will deploy agents to find products online.Agents will scrape the internet for purchasing options.In B2B, agents will facilitate shopping across platforms.Automation will enhance the shopping experience.The future of shopping involves digital agents.Agents will present curated options to consumers.B2B transactions will become more efficient with agents.The role of agents is expanding in digital commerce.Consumer agents will revolutionize how we buy. Chapters00:00 Introduction to Channel Engine and E-commerce Passion00:23 The Role of APIs and Data Feeds in E-commerce

In Episode 103 of the Digital Velocity Podcast, Erik Martinez sits down with Kaitlyn Study, entrepreneur and owner of South Street and Co., to explore what it really means to move from experimenting with AI to fully operationalizing it inside your business. Over the past year, Kaitlyn has automated "250 plus tasks across her business," transforming repetitive processes into structured, strategic systems. As Erik frames it, this conversation is about "automating and operationalizing AI in your business, not the nuts and bolts of which buttons to click, but why this matters strategically and how it becomes a real competitive advantage." Kaitlyn's journey began with a simple realization: "How can I clone myself without using math and science?" After experiencing team turnover and the strain of repetitive operational work, she turned to tools like Zapier, N8N, and AI platforms to eliminate friction and create clarity. The result wasn't just time savings, it was precision. As Kaitlyn explains, "If the automation doesn't work, I know that I did something wrong and didn't correctly portray what I was trying to get out of it." That level of accountability changed how her agency manages hiring, time tracking, sales follow-ups, and capacity planning. Listeners will gain practical, cross-industry insights, including: ·         Why "auditing your time" is the first step toward meaningful automation ·         How to identify "friction" points that signal automation opportunities ·         Why "you have to test it and test it and test it" when integrating AI into workflows ·         How freeing "brain space" allows leaders to focus on higher-level strategic thinking ·         Why the goal "is not to replace people" but to "have you do better, higher level work that you're really great at" For direct-to-consumer brands, agencies, and growth-focused executives, this episode offers a roadmap for scaling operations without sacrificing creativity or culture. Automation, when applied thoughtfully, becomes evolution, not revolution. As Kaitlyn emphasizes, "The goal is not to replace people. It's to have you do better, higher level work that you're really great at, and to have the nuanced, repetitive tasks taken care of." If you're serious about turning AI from a tool into a competitive advantage, this episode is a must-listen.

Episode Summary:In this episode, we explore the significant shifts in the job market driven by AI and automation, emphasizing the importance of skills over traditional job titles. Trevor Houston highlights essential skills for the future, including adaptability, emotional intelligence, and financial literacy. Listeners are encouraged to repackage their existing skills, build a strong personal brand, and embrace continuous learning to stay relevant in a rapidly changing landscape.Resources:Trevor Houston on LinkedIn: https://www.linkedin.com/in/trevorhouston/Career Transition Summit: https://event.webinarjam.com/register/67/04404igv LinkedIn e-book: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://online.flippingbook.com/view/714118097/⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠Subscribe: ⁠⁠⁠⁠⁠⁠⁠⁠https://podcasters.spotify.com/pod/show/who-ya-know-show ⁠⁠⁠⁠⁠⁠⁠⁠Trevor Houston is a licensed financial professional offering insurance/financial products through various carriers. For more info visit ⁠⁠⁠⁠⁠⁠⁠⁠http://cpwstrategies.comChapters:(00:00) The Shift to Skills Clusters(03:02) Adapting to the Skills Economy(05:49) The Importance of Continuous Learning(08:11) Building a Personal Brand(11:00) Essential Skills for the Future(13:42) Strategic Reskilling and Adaptability(16:25) Creating a Skills Portfolio(19:20) The Power of Discipline and Transformation

The Future of AI in Presales: Beyond Demo Automation In this episode, Jack Cochran is joined by Nalin Senthamil, Founder and CEO of Storylane, to discuss the evolution of AI in presales beyond simple demo automation. They explore the hidden costs of demos, how the buyer themselves are becoming AI-powered, and the emergence of AI tools for sellers, much like Storylane has developed with RepEx Thank you to Storylane for sponsoring this episode! Visit Storylane.io to learn more. Follow Us Connect with Jack Cochran: https://www.linkedin.com/in/jackcochran/ Connect with Nalin Senthamil: https://www.linkedin.com/in/nalinpradeep/  Links and Resources Mentioned Join Presales Collective Slack: https://www.presalescollective.com/slack RepEx (AI buyer engagement platform): Available at https://www.storylane.io/ Key Topics Covered Nalin's Journey from Amazon AI Engineer to Demo Automation Founder The Hidden Cost Per Demo AI at the Infrastructure Level RepEx: The Next Generation of Buyer Engagement The Context Handoff Problem Presales as Strategic Advisors in 2026 Timestamps 00:00 Welcome 03:15 Nalin's Background: From Amazon AI Engineer to Storylane Founder  05:54 The Cost Per Demo Problem and Demo Automation Impact  13:24 What are we leaving behind with AI, and what remains human?  20:00 RepEx Launch: Beyond Traditional Chatbots  26:25 The Importance of Context in the Buyer Journey  28:54 How Presales Teams Can Prepare for AI Integration  30:15 Final Advice: Building Long-Term AI Capabilities in Presales

Dawn Stallwood has close to 30 years serving and working closely with leaders and their management teams – including executive assistants and chiefs of staff.In this episode of The Leader Assistant Podcast, Dawn talks about how EAs bring space and perspective to CEOs and their teams, what beautiful leadership is, and what she's seeing in the professional space related to automation and EAs.Show Notes -> leaderassistant.com/363--It's the last day of the offsite and it was exactly what the team needed. The CEO pulls you aside to say, “Thank you. This was next level.”Your secret? You used Offsite. They handled the venues, negotiations, and logistics – so you could focus on shaping the experience.Sound too good to be true? It's actually within reach. (And it can even save you money.)See how at leaderassistant.com/offsite. --Are you ready to level up? Enroll in The Leader Assistant Academy at leaderassistant.com/academy to embrace the Leader Assistant frameworks used by thousands of assistants.More from The Leader Assistant... Book, Audiobook, and Workbook -> leaderassistantbook.com The Leader Assistant Academy -> leaderassistantbook.com/academy Premium Membership -> leaderassistant.com/membership Events -> leaderassistantlive.com Free Community -> leaderassistant.com/community