Podcasts about Automation

AI hallucinations nearly sparked an international crisis, Google dodged a breakup but faces new rules, and Meta's personal AI agent might be about to run your life. This week's episode ponders what's pragmatic, what's dangerous, and what's coming for everything from privacy to geopolitics. Judge Orders Data Sharing and Other Fixes to Solve Google's Ad Tech Monopoly US judge signals rejection of part of TikTok privacy settlement AI hallucination of Chinese nuclear components almost led to US military attack For the first time, the US military confirms it has deployed weapons in orbit OpenAI Discloses Six New Incidents of 'Concerning' A.I. Behavior Why AI pacing has become a false choice Iran and China Create First-of-Their-Kind Autonomous A.I. Influence Campaigns Hackers Got Inside a Flock Camera. Its Data Shows How the System Really Works Senate Votes to Block Crypto Bill in Major Blow to the Industry The EU Bans Social Media For Under-13s 'Maybe a year': Geoffrey Hinton gives the Senate a deadline on AI ZuckOff Is a Free App That Sees Meta Glasses Before They See You Host: Leo Laporte Guests: Owen Thomas, Jason Hiner, and Dan Patterson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-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 Sponsors: trustedtech.team/twit rayneo.com NetSuite.com/TWIT ZipRecruiter.com/twit claude.ai/technology

AI hallucinations nearly sparked an international crisis, Google dodged a breakup but faces new rules, and Meta's personal AI agent might be about to run your life. This week's episode ponders what's pragmatic, what's dangerous, and what's coming for everything from privacy to geopolitics. Judge Orders Data Sharing and Other Fixes to Solve Google's Ad Tech Monopoly US judge signals rejection of part of TikTok privacy settlement AI hallucination of Chinese nuclear components almost led to US military attack For the first time, the US military confirms it has deployed weapons in orbit OpenAI Discloses Six New Incidents of 'Concerning' A.I. Behavior Why AI pacing has become a false choice Iran and China Create First-of-Their-Kind Autonomous A.I. Influence Campaigns Hackers Got Inside a Flock Camera. Its Data Shows How the System Really Works Senate Votes to Block Crypto Bill in Major Blow to the Industry The EU Bans Social Media For Under-13s 'Maybe a year': Geoffrey Hinton gives the Senate a deadline on AI ZuckOff Is a Free App That Sees Meta Glasses Before They See You Host: Leo Laporte Guests: Owen Thomas, Jason Hiner, and Dan Patterson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-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 Sponsors: trustedtech.team/twit rayneo.com NetSuite.com/TWIT ZipRecruiter.com/twit claude.ai/technology

At Zapier, the rise of AI is changing more than the automation products customers build. It is reshaping how the company organizes, invests, prices its offerings, and thinks about its next stage of growth.COO and CFO Ryan Roccon describes Zapier's emerging role as the place where AI-built work actually runs. As tools such as Claude, Cursor, and ChatGPT make it increasingly easy to build applications and agents, he sees a different challenge emerging: keeping those automations reliable, observable, auditable, and cost effective once they enter production.That challenge is influencing Zapier's product and financial agenda. Roccon points to the combination of deterministic workflows and agentic components as an important part of the company's future. An internal review found that rebuilding certain agents with rules where possible and inference where necessary reduced costs by about 75% while improving reliability.Zapier's financial model adds another dimension. The company has remained cash-flow positive under Roccon's finance leadership, giving it room to make aggressive investments while maintaining discipline around ROI and net present value. His challenge to the organization is to find opportunities compelling enough to justify breaking that rule.Meanwhile, Zapier continues moving upmarket while reorganizing around AI and expanding its enterprise business. For Roccon, the finance agenda increasingly extends beyond financial results: ensuring the product delivers, sharpening the go-to-market message, and making certain that customers understand the value of what Zapier is building.

Why do pet owners so often learn the limits of their insurance when an animal is already ill and the veterinary bill is growing? That trust problem sits at the center of my conversation with Hedda Båverud Olsson, co-founder and CEO of Lassie, a pet insurer that combines coverage with preventative health guidance, rewards, activity tracking, and AI-assisted claims. Hedda's reason for starting Lassie is personal. Her mother is a veterinarian, and Hedda grew up around healthy pets without fully appreciating how much fear and financial pressure many owners experience. After working at McKinsey and EQT, she became absorbed by an idea she describes as putting her mother in every owner's pocket. The aim was to help people understand risks earlier and make better daily choices, rather than waiting until an animal needed treatment. The claims process shows where AI can offer immediate value. Lassie has developed a system called Bark Office that scans an invoice, reads each line, identifies whether the treatment relates to illness or an accident, checks the policy, and decides whether enough information is available. Hedda says that when the system is confident, the money can reach the customer in around six minutes. She reports that approximately 65 percent of claims in Germany follow that route. Automation has limits, especially when a blurry receipt, missing diagnosis code, incomplete journal, unusually expensive treatment, or uncertain policy detail prevents a reliable decision. Those cases can prompt a request for further information or move to a human reviewer. Hedda says customers receive a line-by-line explanation of what was and was not covered, with the option to dispute a result and request another review. She reports an error rate below 2 percent for automated claims and compares it with what she describes as a 5 percent human error rate across insurance. Those are Lassie's figures, but the operating principle is useful across many regulated services: automate clear cases, explain the result, and give uncertain or sensitive cases to a person. We also consider why an insurer should have a role when nothing has gone wrong. Hedda says over 90 percent of Lassie customers use its app and roughly a quarter use it daily. Owners can watch health videos, complete quizzes, follow life-stage guidance, record activity, and earn rewards that can reduce their insurance price. Advice changes according to breed, age, and season, covering subjects such as weight, joint health, toxic foods, nail trimming, and ticks. Lassie also works with Tractive, allowing customers to connect a tracker and bring activity data into the app. Hedda explains that Lassie customers can receive a tracker while paying the Tractive subscription, and existing Tractive users can connect their current device. Owners who do not want a tracker can record activity manually. The feature gives the company another regular point of contact while helping customers follow their pet's routine. That daily relationship has commercial consequences. Hedda says regular app use supports customer loyalty, reduces churn, and raises lifetime value. Preventative actions may also support lower prices for owners. The opportunity is to make insurance useful before a claim, although firms must avoid turning care advice and rewards into confusing conditions or allowing gamification to distract from clear coverage. The conversation moves to the UK, where the supplied briefing estimates that around 20 million pets remain uninsured. Hedda believes culture and distrust may outweigh price alone, comparing the UK with Sweden, where she says approximately 90 percent of dogs and 50 to 60 percent of cats are insured despite higher prices. She also argues that established insurers have been slowed by old systems and disconnected technology, making simple onboarding, mobile service, and automated claims harder to deliver. For Lassie, the test is knowing where automation improves the experience and where it would make a difficult moment worse. Customers may welcome an administrative claim completed in minutes, but few want to speak with a bot when a pet is seriously ill or dying. That distinction between speed and empathy may be the most useful lesson for any business automating emotionally sensitive work. Can insurance become something customers value every day without losing the clarity and human care they need during a crisis? Listen to the episode and share your thoughts with me.  

In this crossover episode, Scott invites William Collins and Eric Chou to do the hosting so he and Network Automation Forum (NAF) cofounder Chris Grundemann can discuss how their community emerged from a simple question: Why haven’t we seen full adoption of network automation? They discuss the growth of AutoCon and how its practitioner-focused, vendor-neutral... Read more »

Qwen, Muse Glimmer, Ollama, llama.cpp, quantization, mixture-of-experts, RAG, tokens per second. On Hands-On AI, those aren't buzzwords — Mikah Sargent will explain exactly what they mean, then put them to work on hardware you already own. No cloud, no account, no data, leaving your desk. Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

In this crossover episode, Scott invites William Collins and Eric Chou to do the hosting so he and Network Automation Forum (NAF) cofounder Chris Grundemann can discuss how their community emerged from a simple question: Why haven’t we seen full adoption of network automation? They discuss the growth of AutoCon and how its practitioner-focused, vendor-neutral... Read more »

The episode outlines a structural shift in managed services and IT operations: the automation and unbundling of junior technical work due to the integration of automated tools and AI-driven solutions. This change is absorbing the traditional entry-level, apprenticeship-oriented roles within MSPs and IT organizations, fundamentally altering career development pathways. The trend is illustrated by specific product launches and research findings from entities such as TeamViewer, RDE Technologies, the Center for an Urban Future, the Bureau of Labor Statistics, and SignalFire.Primary evidence centers on quantitative labor data. According to the Center for an Urban Future, entry-level tech job postings in New York City declined 49% since 2022, while Bureau of Labor Statistics projections show a 3% decline in employment for computer support specialists by 2035, amounting to a reduction of 24,300 roles. At the same time, new graduate hiring at large technology firms and startups has dropped by 65% and 76%, respectively, according to SignalFire. In contrast, higher-skilled technology roles—including data scientists and security analysts—are forecasted to add over 310,000 positions over the same timeframe.Secondary developments reinforce the trend. TeamViewer released a support agent that automates fixes with senior technician approval, while RDE Technologies adopted a tool (Vight) automating ticket notes, time entries, and coaching data from support calls. These tools reduce learning opportunities for junior staff. On the hiring side, research highlights that junior hires are arriving at pay rates equal to or above existing staff, creating training, motivation, and retention challenges. At the senior end, a noticeable increase in exits from AI-exposed professions among older workers represents a further supply squeeze.The operational implication for MSPs and IT leaders is a direct challenge to traditional hiring and talent development strategies. Automation is reducing the volume of teachable, ticket-based tasks necessary for hands-on training, while elevating compensation for new and senior staff. MSPs face a choice: deliberately reserve real client work for skill development—accepting lower margins to “manufacture” future engineers—or compete for costly senior talent amid a shrinking candidate pool. Budgeting for training must become an explicit, defended line item, and pricing should reflect the operational burden of nurturing internal talent versus buying it on the open market.00:00 The Job That Stopped Existing 03:48 Built Out Of Easy Tickets06:54 The Engineer Isn't For Sale11:03 Why Do We Care?Supported by: WebPros(CometBackup) USecure

Qwen, Muse Glimmer, Ollama, llama.cpp, quantization, mixture-of-experts, RAG, tokens per second. On Hands-On AI, those aren't buzzwords — Mikah Sargent will explain exactly what they mean, then put them to work on hardware you already own. No cloud, no account, no data, leaving your desk. Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Meet Noah: The AI Robot Delivering Your Next Meal w/ Steve Burns of NoTip - AZ TRT S07 EP15 (297) 9-13-2026       What We Learned This Week Food delivery may be ready for a robotics makeover. NoTip is testing a model where an EV gets the food close to the customer's home and an autonomous robot completes the final delivery. The expensive part of a delivery isn't necessarily the food—it's the last mile. Restaurants and consumers can face significant costs from today's delivery model. NoTip is trying to use automation and EVs to change that equation. Physical AI is moving into the real world. LiDAR, cameras, GPS, sonar and RTK positioning allow robots to understand and navigate physical environments—not just digital ones. The EV revolution isn't just about cars. Purpose-built electric vehicles can be dramatically smaller and lighter than conventional cars, potentially changing the economics of businesses that operate fleets all day. The future of autonomous delivery may involve two vehicles—not one. The delivery vehicle gets the order to the neighborhood, while a smaller robot handles the final few yards to the front door. That combination could allow companies to rethink how the entire delivery process works.     Guest: Steve Burns — Founder, NoTip Stephen S. Burns is a serial entrepreneur and technology executive with more than three decades of experience building disruptive companies across automotive, electric vehicles, telecommunications, and software. He is the founder of Lordstown Motors, where he served as Chairman and CEO, leading the acquisition and transformation of the former General Motors Lordstown Assembly Plant into an electric vehicle manufacturing facility. He also founded Workhorse Group (NASDAQ: WKHS), an early pioneer in commercial electric vehicles and last-mile delivery technology, helping lay the foundation for today's commercial EV market. Prior to his work in electric mobility, Burns founded Mobile Voice Control, a pioneering speech recognition software company for smartphones that was acquired by Nuance Communications. Throughout his career, he has successfully founded, scaled, and exited multiple technology ventures, commercializing innovative products that have advanced mobile communications, enterprise software, and transportation technologies. He is widely recognized for identifying emerging technologies and transforming them into industry-leading businesses.     Company: NoTip Location: Mason, Ohio, outside Cincinnati Industry: Autonomous vehicles / Physical AI / Food delivery / EV technology https://notip.ai/index/home   NoTip is transforming food delivery in Mason, Ohio NoTip is redefining food delivery in Mason Ohio. We operate as a 3rd party delivery platform. We feature local restaurants on our platform and then use electric vehicles driven by our uniformed team members combined with and our specially designed robots to pick up your food and deliver it to your doorstep.  This approach enables dramatically lower costs, faster service, and greater reliability- while removing common pain points like tipping, hidden fees, food markups, and concerns around strangers on your doorstep.  Simple, Sleek, Easy-To-Use App Order your favorite food in seconds with NoTip's powerful, east-to-use app. Order from your favorite local restaurants and track your delivery in real time as our uniformed team member and advanced robotic system brings your food directly to your doorstep. No tipping, no food mark-ups—just seamless, reliable delivery at the tap of a button. Download the NoTip app today and experience the future of food delivery.     Segment 1 — Meet Noah: The Robot Changing Food Delivery Steve Burns introduces NoTip, a new autonomous food-delivery company operating out of Mason, Ohio. The company has spent approximately four years in stealth mode developing its technology. NoTip officially went live in the summer of 2026. The company's technology centers around Noah, an autonomous delivery robot built in-house. Noah is an example of what Steve describes as Physical AI—AI that doesn't just exist in software but interacts with the physical world. The company is essentially taking on the traditional food-delivery model represented by companies such as DoorDash and Uber Eats. Customers order through an app and pay before the delivery. Instead of a gig worker delivering the order, NoTip uses autonomous vehicles and robots. The initial focus is suburban food delivery. The basic proposition is simple: people are willing to pay for convenience. Steve uses Uber as an example of how consumers have demonstrated that they'll pay for convenience when the service solves a problem. NoTip's future delivery system combines: An autonomous EV Noah, the smaller autonomous robot The robot carrying the food from the vehicle to the customer's home The delivery vehicle can deploy the robot using a ramp. Noah uses a combination of: LiDAR Sonar GPS Cameras Mapping technology The robot has gone through thousands of modifications and improvements during development. Current testing includes a safety driver behind the wheel who can take over and make the delivery if the autonomous system encounters a problem. The Technology Business Steve points out the enormous valuations attached to technology-driven companies. DoorDash has reached a market capitalization far larger than many traditional vehicle manufacturers. His larger point: the software and technology layer can be more valuable than the physical vehicle itself. NoTip's concept is designed to be easy for consumers to understand: The delivery vehicle comes to your neighborhood. A small robot gets out. The robot takes your food to the door. Steve compares the concept to the familiar infrastructure of a UPS delivery fleet—but with autonomous technology replacing much of the human delivery process. Why Does Food Delivery Cost So Much? The NoTip Model NoTip plans to charge a flat $6 delivery fee. Traditional food-delivery services can charge restaurants significant fees, sometimes approaching 30%, depending on the arrangement. Those costs can ultimately be reflected in higher menu prices and delivery costs for consumers. Steve believes the current food-delivery model has become too expensive for restaurants, consumers and other participants in the food ecosystem. Automation could potentially change the economics of last-mile delivery. EV Economics Electric vehicles have substantially lower energy costs than gasoline-powered vehicles. Lower operating costs become particularly important in a delivery business where vehicles may operate for many hours every day. Amazon has already demonstrated the use of electric delivery vans through its Rivian fleet. NoTip is looking beyond conventional delivery vans toward smaller, purpose-built EVs. The Future NoTip Vehicle Steve envisions a future NoTip delivery vehicle that could be a three-wheel EV, more similar to a large motorcycle than a traditional automobile. The goal is to make the vehicle: Lightweight Efficient Less expensive to operate Purpose-built for delivery A lighter vehicle requires less energy to move, potentially helping reduce operating costs. Why Automation Could Matter Steve discusses some of the challenges and safety concerns associated with the current gig-worker delivery model. NoTip's objective is to create a delivery system that emphasizes consistency, safety and efficiency. The technology isn't simply about eliminating a driver—it is about redesigning the entire last-mile delivery process. Segment 2 — From EVs to Robots Steve Burns' EV Background Steve brings significant experience from the electric-vehicle industry. His background includes work with companies such as: Workhorse Lordstown Motors His experience gives him an understanding of: EV development Manufacturing Supply chains Automotive regulations Vehicle technology The challenges of bringing new transportation technology to market Lordstown Motors Steve discusses the bankruptcy of Lordstown Motors. He subsequently acquired intellectual property and physical assets from the company. That included EV-related assets and vehicles that could be useful in developing future technology. NoTip's Current Vehicles The company is experimenting with multiple prototype configurations. Some of the current vehicles are modified BMW i3s. These conventional vehicles weigh roughly 2,000 pounds. Steve discusses future vehicles that could be much lighter. One concept is approximately 1,500 pounds, including the battery. The battery system is designed to provide roughly 10 hours of operating time. Building the Robot Noah has gone through multiple prototype versions. The team has learned from putting the robots into real-world environments. One of the challenges is that a robot can't assume every customer's property looks the same. It needs to navigate things such as: Rakes Landscaping Driveways Sidewalks Other obstacles The robot can also be modified for different environments, including the use of snow tires for winter conditions. The Technology Behind Noah Noah combines several technologies to understand its environment. Sensors LiDAR Sonar Cameras GPS Optical sensors The vehicle and robot use these systems to understand and map their surroundings. RTK — Real-Time Kinematic Positioning Steve discusses RTK, or Real-Time Kinematic positioning. The technology can dramatically improve location accuracy and allow the system to map an area with extremely high precision—down to approximately the centimeter level under suitable conditions. That matters when a robot needs to know: "Exactly where am I on this property?" rather than simply: "I'm somewhere near this address." A Bigger Robotics Trend Steve points out that similar technology is being used in other industries. One example is autonomous robotic lawnmowers. As sensors, computing power and other components become less expensive, technologies that once required expensive R&D can become commercially practical. NoTip is essentially applying some of those technologies to food delivery. Segment 3 - How Does an Autonomous Delivery Actually Work? Getting to the House Google Maps can be used to determine the vehicle's driving route. The vehicle handles the trip from the restaurant to the customer's neighborhood. The robot then handles the final portion of the delivery on the customer's property. Current Regulatory Approach During the current testing phase, there is still a driver behind the wheel of the autonomous vehicle. This allows NoTip to operate within the existing regulatory framework while testing its autonomous technology. The robot itself operates on the customer's property after receiving permission. Customer Permission Customers agree to allow the robot onto their property through the NoTip app. The system can collect information such as: Email address Phone number Property permission This creates a defined interaction between the customer and the autonomous delivery system. What's Next for NoTip? NoTip is currently testing and refining its technology. The company expects to continue improving both the robot and the vehicle platform. Future plans include: Additional cities Purpose-built EVs More autonomous robots Expanded manufacturing capabilities Steve discusses eventually building a 22,000-square-foot facility for manufacturing and development. That facility could support production of the company's three-wheel EV and robotic delivery systems. Phoenix is one city Steve has identified as a potential future market. NoTip expects to announce its next city in fall 2026. The Bigger Idea The roads and delivery infrastructure already exist. Consumers already: Order food through apps Pay electronically Expect delivery Pay for convenience The question becomes: Can technology make the last mile faster, safer and less expensive? That's the problem NoTip is trying to solve.         Tech Topic: https://brt-show.libsyn.com/category/Tech-Startup-VC-Cybersecurity-Energy-Science  Best of Tech: https://brt-show.libsyn.com/size/5/?search=best+of+tech   'Best Of' Topic: https://brt-show.libsyn.com/category/Best+of+BRT      Thanks for Listening. Please Subscribe to the AZ TRT Podcast.     AZ Tech Roundtable 2.0 with Matt Battaglia The show where Entrepreneurs, Top Executives, Founders, and Investors come to share insights about the future of business.  AZ TRT 2.0 looks at the new trends in business, & how classic industries are evolving.  Common Topics Discussed: Startups, Founders, Funds & Venture Capital, Business, Entrepreneurship, Biotech, Blockchain / Crypto, Executive Comp, Investing, Stocks, Real Estate + Alternative Investments, and more…    AZ TRT Podcast Home Page: http://aztrtshow.com/ 'Best Of' AZ TRT Podcast: Click Here Podcast on Google: Click Here Podcast on Spotify: Click Here                    More Info: https://www.economicknight.com/azpodcast/ KFNX Info: https://1100kfnx.com/weekend-featured-shows/  

Qwen, Muse Glimmer, Ollama, llama.cpp, quantization, mixture-of-experts, RAG, tokens per second. On Hands-On AI, those aren't buzzwords — Mikah Sargent will explain exactly what they mean, then put them to work on hardware you already own. No cloud, no account, no data, leaving your desk. Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Send us Fan MailDavid Schwartz, CEO of PIA, challenges the notion of an impending “SaaS-pocalypse.” He argues that while AI capabilities like vibe coding allow users to build quick custom features, they do not replace full-scale Software-as-a-Service platforms. Developing and maintaining reliable enterprise software requires ongoing DevOps support, bug fixes, R&D, and strict adherence to security and compliance frameworks like SOC, HIPAA, and GDPR. For most businesses, attempting to build and maintain custom alternatives internally creates unsustainable overhead and introduces significant operational and security risks compared to established SaaS vendors.David also discusses his transition to leading PIA, an AI-driven help desk automation platform built by MSP veterans for the MSP market. Drawing from his background co-founding Wireless Watchdog and working in IT services, he explains how PIA addresses persistent labor challenges by automating level-one service desk tickets and streamlining repetitive workflows.See our 2025 interview with David: https://www.e-channelnews.com/update-interview-with-pias-new-ceo-david-schwartz/

A bad process that you automate is still a bad process. It's just faster, and now it has a timestamp on it.Griffin Hamilton and Yvonne Harrison of CamCode pick up part two of their conversation on automation, moving from clean data into the three pillars that decide whether a rollout actually sticks: standardized process, a real link between the asset and its record, and people who want to use it.What you'll learn:- Why standardizing the workflow has to come before automating it, walked through with an inspection example where seven technicians each have their own method, their own vocabulary, and their own way of capturing data- What bridging physical to digital means in practice, and why printed labels fail first in wash-down, outdoor, and high-heat environments, taking the asset history with them- The three reasons adoption stalls: users don't trust the data, the process feels more complicated than what they had, and nobody showed them the win- Why implementations slip from four months to eighteen, and the front-end work that keeps a go-live date honest- Yvonne's closing sequence: visibility, identification, data integrity, process standardization, and only then automationAbout Yvonne:Yvonne Harrison leads the facilities and asset management market at CamCode, best known for durable asset identification. She has sat on every side of a software implementation: technician building hierarchies, sales, and now the partner side doing field walk-downs and audits. Four years at IBM as an asset lifecycle management SME shaped how she thinks about the whole asset life cycle, from online to disposal.This is part two. If you missed part one on asset visibility and data integrity, start there.Connect with the show:⁠LinkedIn⁠⁠FlowPath⁠Host: Griffin Hamilton (griffin@getflowpath.com)The Modern Facilities Management Podcast is presented by FlowPath, facility management software built for modern FM teams. Learn more at getflowpath.com.If you enjoyed this episode, please leave a rating and review. It helps other FM professionals find the show

I joined Jayne Carroll on The Jayne Carroll Radio Show for a wide-ranging conversation about what artificial intelligence is doing to our kids, our ability to think, our families and ultimately our humanity. We talked about homeschooling, the collapse of critical thinking, parents surrendering more of their responsibility to institutions and technology, the race with China, and Silicon Valley's vision of a future where AI and robots do the work while human beings live on universal basic income. AI can be an incredibly useful tool, but when the goal becomes replacing human thought, work, struggle and responsibility, we are building a society that may have access to all the world's knowledge while forgetting how to think for ourselves.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-jeff-dornik-show--4788100/support.Follow The Jeff Dornik Show on Apple Podcasts and leave a 5-star review. That's how we reach more people and bypass Big Tech suppression.Watch LIVE daily at 7pm ET on Rumble and subscribe so you never miss a show:https://rumble.com/c/jeffdornikBig Tech is silencing truth while harvesting your data to feed the machine. That's why I built Pickax, a free speech platform where creators own their content and your voice isn't controlled. Join now:https://pickax.com/?referralCode=y7wxvwq&refSource=copy

A recent essay from a leader in the AI industry raised concerns about the threats that this technology poses to humanity. On Today's Show:Will Oremus, staff writer at The Atlantic, discusses the uproar over the warnings of potential threats to humanity from unregulated AI, then Andrew Prokop, senior politics correspondent at Vox, talks about possible government actions to prevent disaster from the purposeful or inadvertent consequences of AI harm. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Eric is joined by Sid Mathur, founder of Fastah Inc., to unpack the real-world implications of Low-Earth Orbit (LEO) internet. Sid has built a career obsessing over data networks, system performance, and the operational challenges facing ISPs and satellite operators. Together they dive into the complexities of in-motion geolocation and explore the traffic routing implications... Read more »

Eric is joined by Sid Mathur, founder of Fastah Inc., to unpack the real-world implications of Low-Earth Orbit (LEO) internet. Sid has built a career obsessing over data networks, system performance, and the operational challenges facing ISPs and satellite operators. Together they dive into the complexities of in-motion geolocation and explore the traffic routing implications... Read more »

Anika sat down with Joshua Evarts to explore how the rapid acceleration of artificial intelligence and digital communication impacts the fundamental engine of every business: human relationships. Drawing from a diverse career leading national security software companies, managing historic building restorations, running a community cigar lounge, and parenting a son working at OpenAI, Joshua offered practical insights into balancing technological automation with authentic connection, intentional culture building, and genuine curiosity. In This EpisodeTransitioning from early software programming on a Commodore 64 to leading national security tech companiesThe accidental pivot from accounting to building Easy Street Draw for automobile accident and homicide investigationsDeploying to Iraq and working with New Scotland Yard on post-blast investigationsSurviving stage 3 pancreatic lymphoma in 2020 and how facing mortality reshaped his perspective on presenceOpening a historic cigar lounge and discovering that authentic generosity is contagiousThe reality of parenting an OpenAI employee and navigating generative AI at the dinner tableWhy genuine relationships and curiosity remain the ultimate competitive advantages in an automated worldThe philosophy behind his book series, starting with If Jesus Smoked Cigars: Eight Lessons in Relational Leadership Timestamps00:03 Introduction: Balancing AI integration with thoughtful, ethical, and strategic human guidance 02:54 Early programming roots on a Commodore 64 and leaving accounting for tech entrepreneurship 07:15 The three sentinel shifts: accelerating communication speed, COVID-19 distancing, and the advent of AI 09:12 Battling stage 3 pancreatic lymphoma during 2020 and choosing gratitude as a daily mindset 10:14 Choosing presence over devices: leaving phones behind and prioritizing real human interaction 14:38 Writing If Jesus Smoked Cigars: using cheeky titles and obscure historical stories to teach relational leadership 26:45 Navigating generative AI slop, social media echo chambers, and the obsession with capturing digital data 29:21 Advice for the next generation: pursuing math, logic, and curiosity rather than fearing replacement 41:47 Recognizing that relationships are hard work and require intentional daily effort Key Insights & Takeaways Insight 1: Relationships Cannot Be Outsourced to AI While generative AI automates routine tasks and text generation, it cannot replace genuine human connection. In an increasingly automated business world, the ability to build trust, listen deeply, and maintain authentic relationships serves as an irreplaceable discriminator. Insight 2: Reckless Generosity Builds Thriving Communities Treating business relationships purely as transactions limits growth. True generosity is contagious; when business owners genuinely support their peers and foster inclusive environments, the entire community benefits and rises together. Insight 3: Focus on Culture and Process Over Outcomes Founders and leaders cannot control external market conditions or outcomes—they can only control their attitude and actions. Prioritizing a healthy, people-first culture and mastering daily processes naturally attracts top talent and loyal customers. Insight 4: Curiosity Outweighs Perfection Entering unfamiliar rooms and asking genuine questions creates unexpected opportunities. Being infinitely curious and willing to admit what you do not understand allows professionals to successfully navigate major career pivots across entirely different industries. Insight 5: Avoid Confusing Market Velocity with Productivity The rapid speed of technological advancement often tricks organizations into measuring activity rather than true business impact. Leaders must evaluate whether new tools genuinely serve their mission or create unnecessary friction for human users. Resources & Links MentionedIfJesus.com (Joshua's official website for workshops, book info, and direct contact)If Jesus Smoked Cigars: Eight Lessons in Relational Leadership by Joshua Evarts About Joshua Evarts Joshua Evarts is an author, entrepreneur and former technology executive with more than 30 years of experience building businesses in technology. He is the author of If Jesus Smokes Cigars: Eight Lessons in Relational Leadership, a book exploring how leaders and professionals can build stronger relationships in a tech-saturated world. After decades in tech, Joshua opened a cigar lounge built around conversation, storytelling and authentic connection, which became a real-world expression of his belief that innovation matters, but people still come first. As the father of a son who works at OpenAI, Joshua brings both personal and professional perspective to conversations about AI, the future of work and the human skills that technology cannot replace. Connect with JoshuaWebsite: https://ifjesus.com/ YBA was named the top PR podcast in the US by FeedSpot! Feedspot is an RSS Reader that lets you follow your favorite podcasts alongside blogs and news in one place. Like the show? Leave us a rating or review: https://lovethepodcast.com/67940257010b317cdaa9d857 Send us a Message: https://podcastfeedback.com/67940257010b317cdaa9d857 Check out our Website: https://www.yourbrandamplified.com Speak to my Delphi Clone: https://www.delphi.ai/amplifywithanika Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Making more money doesn't always create a greater sense of financial security. In this episode of The Budgetdog Breakdown, Brendan answers real listener questions about teaching children financial literacy, investing without emotion, achieving financial independence, and why people can earn significantly more money than their parents while still feeling financially behind. The conversation explores why financial education needs to become part of everyday family life, how parents can teach children about money through simple conversations, and why financial confidence comes from education and repeated small wins rather than trying to have one perfect conversation. Brendan also discusses why investing should be boring, how automation can remove emotional decision-making, and why constantly checking your portfolio can lead to poor financial behavior. The episode also explores the idea of retiring at 40 and the importance of changing your beliefs and systems before expecting different financial results. Finally, Brendan breaks down why earning more doesn't necessarily mean feeling richer, discussing inflation, purchasing power, and the importance of turning active income into investments and assets. Money isn't just about how much you earn. It's about what you do with it. Episode Timeline and Highlights 00:00 Why wealthy people rely on systems 00:18 Teaching kids about money 03:26 Making financial education part of your family culture 04:21 Taking ownership of your financial education 05:21 Teaching children about ownership and investing 06:39 Why investing should be boring 08:04 Automating your financial system 09:25 Is FIRE at 40 actually realistic? 10:34 Beliefs, identity, environment, and systems 11:57 Building confidence through micro-wins 13:10 Checking your investments too often 14:03 Why emotional investing can hurt your results 14:58 What happens when the market drops 16:37 Why earning more can still leave you feeling broke 17:27 Inflation and the money supply 19:03 Why owning assets matters 20:09 Turning income into investments Key Takeaways • Financial education should become part of everyday life • Parents need to educate themselves before teaching their children • Investing doesn't need to be exciting to be effective • Automation can reduce emotional financial decisions • Constantly checking investments can encourage reactive behavior • Small wins can build confidence over time • Financial independence requires changing both behavior and systems • Higher income doesn't automatically create greater purchasing power • Inflation can reduce the value of money held in cash • Turning active income into assets can help build long-term wealth Quotables "Financial education starts with you, not your ten-year-old." "The game of money and the game of wealth is boring." "If you can prove to yourself that you're going to do what you say you're going to do, you'll build micro confidence." "Your financial future isn't determined by where you are today. It's determined by the system you build from this point forward." The goal isn't to make money exciting. It's to build a system that works whether you're excited, scared, or completely uninterested.

What if your most useful keywords are not hiding inside another research tool, but in the questions, complaints, and conversations your customers are already sharing? In this episode of The Simple and Smart SEO Show, Crystal Waddell talks with Kelly Miller, also known as Health Coach Kel, about listening beyond the analytics to understand what people actually need.Kelly brings together her experience in marketing, ecommerce, SEO, health coaching, and product development to explain why DMs and comments can be a goldmine for customer language. Crystal and Kelly also explore social SEO in a zero-click search environment, the risks of posting and ghosting, and how to use autoresponders without losing your personality or your audience's trust.The conversation closes with a practical reminder for overwhelmed business owners: growth does not always require adding another tool, offer, or task. Sometimes the smartest move is to remove what is not serving you, listen more carefully, and focus deeply on one right-fit customer or problem.What You Will LearnWhy DMs and comments reveal customer motivations that keyword-volume data cannot fully explainHow posting without engaging can disconnect you from your audience and weaken your market researchWhy social platforms matter as Google and other search experiences provide more answers without a website clickHow to use ManyChat, autoresponders, and team support while remaining clear about who is respondingWhy your lived experience and applied knowledge can become a credible, differentiated point of viewHow better follow-up questions uncover the obstacle behind a customer's stated problemWhy auditing what you can remove may create more progress than adding another strategyHow narrowing your focus can reveal more relevant opportunities within one audience or offerEpisode TimestampsProduction note: These timestamps begin with the conversation audio. Adjust them if a separate introduction or advertisement is inserted.Time | Topic0:00 | Meet Kelly Miller, also known as Health Coach Kel0:45 | Kelly's journey from marketing and ecommerce to health coaching2:30 | Why DMs can be more valuable than keyword tools3:44 | The problem with posting and ghosting5:13 | Social SEO and the rise of zero-click search6:47 | Using ManyChat and autoresponders without losing your voice8:08 | Why transparency builds trust in DMs and communities12:04 | Owning your perspective instead of borrowing authority12:55 | Finding better questions by listening to customer problems15:30 | Remove before you add18:03 | Auditing your day, priorities, and business focus20:42 | How customer listening changed Kelly's cookbook concept23:01 | Why getting really good at one thing creates momentumKey TakeawaysCustomer language adds context to keyword data. Search tools can show demand, but direct conversations reveal the feelings, objections, and immediate problems behind a search.Engagement is research. Responding to comments and participating in adjacent communities can improve customer understanding, product development, and visibility.Automation still needs a human voice. Simple, transparent automated messages can help a solopreneur respond efficiently without pretending every reply is personal.Your perspective is part of your authority. You do not have to continually reference a larger expert when you can explain what you learned, applied, and discovered yourself.Focus creates relevant expansion. Going deeper into one customer, product, or problem can uncover a connected set of content and offer opportunities.Episode Highlights and Quotes from Kelly:“Let's be messy. Let's be ourselves.”“What are you willing to give up to get what you want?”“I believe 100% you gotta focus and get really good on one thing.”Listener Action StepsReview your last 10 DMs, comments, emails, or sales conversations and highlight the exact phrases customers repeat.Choose one repeated question and turn it into a useful post, email, podcast topic, product-page section, or FAQ.Audit one automated message. Make it shorter, make it sound like you, and clearly identify automation or team members when needed.Remove one tool, task, or offer that is taking energy away from the customer or problem you most want to serve.Subscribe to The Simple and Smart SEO Show for practical visibility strategies designed for small business owners.Resources and MentionsHealth Coach Kel: https://healthcoachkel.comSimple and Smart SEO: https://simpleandsmartseo.comOur Rooted Kitchen: Learn more through Health Coach Kel's website and social channelsTools mentioned: ManyChat, Ubersuggest, Surfer, ChatGPT, and ClaudeAbout Kelly MillerKelly Miller, also known as Health Coach Kel, helps busy women build greater confidence and capacity around food, energy, and everyday life. Her background includes marketing, ecommerce, SEO, health coaching, and product development. Through Health Coach Kel and Our Rooted Kitchen, she encourages women to reconnect with cooking, growing food, and practical habits that fit real life.About Crystal WaddellCrystal Waddell is an SEO educator, ecommerce business owner, and visibility strategist for creative entrepreneurs and small businesses. On The Simple and Smart SEO Show, she shares practical strategies to help business owners improve visibility, connect with right-fit customers, and grow without unnecessary complexity. Learn more at simpleandsmartseo.com.DisclaimerThis episode is provided for general education and discussion. Tools, platforms, and marketing approaches should be evaluated for your business, audience, and current platform requirements. Some links may be affiliate links, which means Crystal may earn a commission at no additional cost to you.Text me your questions or comments!Hey, Shopify store owners! (Especially if you're selling on Etsy, too!)Here's a quick question: Are people actually finding your products on Google?If SEO feels confusing, overwhelming, or like something you'll "get to later", this is for you.I'm hosting a free, seven day Shopify SEO challenge that breaks it down into simple, doable steps.No tech headaches, no fluff. Join us at  Hey, Shopify store owners! (Especially if you're selling on Etsy, too!)Here's a quick question: Are people actually finding your products on Google?If SEO feels confusing, overwhelming, or like something you'll "get to later", this is for you.I'm hosting a free, seven day Shopify SEO challenge that breaks it down into simple, doable steps.No tech headaches, no fluff. Join us at aise  Hey, Shopify store owners! (Especially if you're selling on Etsy, too!)Here's a quick question: Are people actually finding your products on Google?If SEO feels confusing, overwhelming, or like something you'll "get to later", this is for you.I'm hosting a free, seven day Shopify SEO challenge that breaks it down into simple, doable steps.No tech headaches, no fluff. Join us atSupport the showFree checklist: Is your Shopify store quietly losing sales? Run the 5-minute self-check →Book a Strategy Call With Crystal!Want to follow up on what you've heard? Search the podcast!AFFILIATE LINKS:SEO TOOLS :Keywords Everywhere: My favorite keyword research tool!Get SurferSEO! The ultimate content creation tool!E-COMMERCE TOOLS:Start your Shopify Store! (use my link)Klaviyo: The leader in Ecommerce EmailGrid and Pixel: Get John and his team's help in setting up your flows and campaigns!SOCIAL MEDIA TOOLS:Metricool (Awesome and easy to use social media scheduler!)Note: If you make a purchase using one of my links, I ...

Will Oremus, a staff writer at The Atlantic, discusses the uproar over the warnings of potential threats to humanity from unregulated AI, then Andrew Prokop, senior politics correspondent at Vox, talks about possible government actions to prevent disaster from the purposeful or inadvertent consequences of AI harm.Photo: A person holds an iPhone displaying icons for Copilot, Gemini, Meta AI, Claude, ChatGPT, Grok, DeepSeek, Perplexity and Doubao in a folder titled "Artificial Intelligence" on September 15, 2026, in Shenzhen, Guangdong Province, China.(Cheng Xin/Getty Images) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Every incentive plan teaches.It teaches executives which outcomes matter, which tradeoffs are acceptable, and which behaviors the organization is prepared to reward again.In this episode of The Executive Compensation Podcast, Ryan Harvey, Virginia Rhodes, and Darren Moskovitz examine whether incentive plans can meaningfully influence executives who are already highly motivated, and where compensation design reaches its limits.The conversation explores how high-level company metrics translate into individual behavior, why a seemingly reasonable measure can produce unintended consequences, and when expectations such as collaboration, leadership, risk management, and cultural alignment belong outside the incentive plan.The hosts also discuss how boards can hold executives accountable for both what they accomplish and how they accomplish it. They examine the roles of performance management, succession planning, discretion, and recoupment provisions before turning to the challenge of setting long-term goals in an uncertain environment.The episode concludes with a series of difficult questions: Can a plan deliver strong financial results and still be the wrong plan? If management begins gaming the system, is the problem management, the metric, or both?In this episode, you will learn:Whether incentives can change the behavior of already motivated executivesHow one metric can unintentionally reward the wrong behaviorWhy not everything a company values belongs in an incentive planWhere compensation design ends and leadership accountability beginsHow boards can evaluate both what executives achieved and how they achieved itWhy potential adjustment principles should be discussed before market conditions changeHow to distinguish management gaming from a poorly designed metricA compensation plan can operate exactly as designed and still reinforce the wrong behavior. The committee's responsibility is to understand both the payout it creates and the lesson it teaches.Timestamps0:00 AI Payments Explained1:12 How AI Moves Money Automatically2:45 Real Use Cases for AI in Finance4:10 AI Agents in Payments Systems5:55 Risks of AI Handling Transactions7:20 Automation vs Human Control in Finance9:05 What Businesses Need to Know About AI Payments11:30 The Future of AI in Financial Transactions

 summary In this episode, the hosts reflect on various topics including the importance of remembering September 11th, a shocking local house explosion, and the ongoing issues surrounding UPS and Teamsters, particularly regarding benefits and potential strikes. They emphasize the emotional weight of these discussions and the impact on their community. In this conversation, the hosts discuss the current state of negotiations between UPS and the Teamsters, the implications of automation and technology in the delivery industry, and the potential for a strike as tensions rise. They explore the impact of cameras in delivery trucks, the importance of mid-contract strikes, and the challenges that lie ahead for workers. The conversation emphasizes the need for preparation and awareness as the future of delivery and labor relations unfolds. www.patreon.com/aitdpod https://discord.gg/hm8WMUKVF8  takeaways Acknowledge and appreciate Patreon supporters. Reflect on the emotional impact of September 11th. Discuss the significance of first responders during tragedies. Share personal experiences related to September 11th. Describe a recent local house explosion incident. Highlight the importance of community support during crises. Discuss the implications of potential changes to UPS benefits. Explore the possibility of strikes within the Teamsters union. Emphasize the need for solidarity among workers. Recognize the ongoing challenges faced by delivery workers. The introduction of cameras in delivery trucks raises concerns among workers. Negotiations between UPS and the Teamsters are fraught with tension. Automation is a significant factor affecting job security in the delivery industry. A mid-contract strike could be a powerful tool for workers. Striking could lead to an ugly struggle for workers and their families. Corporate greed may ultimately drive the need for a strike. The future of delivery is uncertain as competition increases. Workers need to prepare financially for potential strikes. The relationship between UPS and the Teamsters is complex and contentious. The upcoming contract negotiations are critical for the future of labor relations. Chapters 00:00 Introduction and Acknowledgments 03:05 Reflections on September 11th 05:45 A Shocking Local Incident 08:55 UPS and Teamsters News 12:11 Concerns Over Benefits and Strikes 30:44 The Impact of Cameras in Delivery Trucks 32:45 Negotiations and the Future of Teamsters 36:30 Automation and Its Implications 38:50 The Potential for a Mid-Contract Strike 40:06 The Reality of Striking 43:09 Corporate Greed and Its Consequences 48:25 The Future of Delivery and Teamsters Huge shoutout to our TOP RATE LEGENDS, Tony, Starla & S_nner THE OPINIONS EXPRESSED OR VIEWS EXPRESSED ON THIS PODCAST ARE THOSE OF THE HOSTS AND GUESTS AND DO NOT NECESSARILY REFLECT ANY DELIVERY COMPANY  

In today's episode, you'll discover: 1. What core foundational systems must be put on autopilot before scaling. 2. How my guest used massive accountability skills leading Marines and transferred those exact military leadership principles to recruiting, managing, and delegating to a remote civilian team. 3. If you are currently trapped in your business or day job, what is the first step you should take tomorrow morning to reclaim your time? To support these three takeaways, I chose a quote from Dave Weinbaum: "Those who let things happen usually lose to those who make things happen." About Keith Gillispie: Keith Gillispie is a former active-duty Marine turned serial entrepreneur and the founder of REI Automated. He has personally invested across 34 states, raised over $10 million in private capital, and coached more than 400 students to financial freedom. Ditching traditional tactics like cold calling, Keith uses proven, automated systems to help investors consistently close five-figure deals and reclaim their time. How to Get in Touch with Keith Gillispie: Website: http://www.reiautomated.io/demo Email:  keith@reiautomated.io Gift: https://playbook.reiautomated.io/?source=Keith&campaign=OFC Stalk me online! Linktr.ee: https://linktr.ee/conniewhitman Communication Style Assessment (CSA)™: https://changingthesalesgame.mykajabi.com/communication-style-assessment Subscribe to the Enlightenment of Change Podcast on your favorite podcast streaming service or YouTube.  New episodes are posted every week - listen as Connie delves into new sales and business topics or addresses problems you may have in your business.

You love God. You want to steward your money well. You know what you should do but you still avoid looking at your finances, procrastinate sending invoices, or impulse spend and then wonder, “What is wrong with me?” If you have ADHD, your struggle with money may not be a lack of caring, motivation, or even self-control. In this video, I'm having an honest conversation with Cassie Miller, founder of Soul Spark Coaching and Consulting and a certified professional whole-person somatic coach with specialized training in ADHD. We explore what happens when ADHD, neuroscience, faith, and biblical stewardship come together. Sometimes you're not avoiding the financial task itself. You may be avoiding the feelings, shame, pressure, or meaning you've attached to it.

WTiN speaks to Anna Triponel, CEO and founder of Human Level about how the fashion and textile industry are responding to the role of artificial intelligence (AI) across the supply chain.Human Level is an advisory firm that propels businesses to be human rights proactive in a rapidly changing climate. In the fashion and textile industry Human Level works with a wide range of companies to help design human rights and sustainability strategies that meet external and human rights expectations.In this episode, Triponel speaks about the role of AI and automation in textile sector. She delves into how digitalisation is driving change within the industry and what the biggest risks for workers and other actors in the supply chain are. We also touch upon the EU's AI Act, which addresses the risks of AI and positions Europe to play a leading role globally. Triponel also speaks about where AI can improve work and create value and what business leaders should be doing now to keep up and stay ahead of this change. Throughout the episode Triponel references The United Nations (UN)'s Preliminary Report of the Independent International Scientific Panel on AI: Evidence-based assessment of opportunities, risks and impacts of AI.Learn more at wearehumanlevel.com.

Win Clients in the First 20 Minutes: Automate Follow-Up and Close on Automatic!00:00 They Lost! You Won!00:13 The Photographer Test00:44 Instant Automated Follow Up01:19 Who Gets Your Business01:40 Freedom Through Automation02:34 Which Owner Are You03:25 Build Systems Early04:06 SuiteDash Wrap Up----https://suitedash.com is on a Mission to help business owners around the world achieve #SuiteFreedom by leveraging the power of systems, processes & automations!But realize that YOU are ALSO a part of our Mission!Our development is 100% guided by YOU and the Community as a whole! YOU have the power to make suggestions that actually get heard and actually get built.So, please if you haven't already done so, we'd like to invite you to become an active part of the SuiteDash Community and provide feedback, ideas, and assistance, or just chime in to let us know when things are really working well for you. Together, we can build your perfect solution! Together, we are UNSTOPPABLE!Work smarter. Live better. We've got your back!---​​Need help?​DOCS @ https://help.suitedash.comSUITEBOT @ https://bot.suitedash.com​​PLAYBOOK BUILDER @ https://playbook.suitedash.com​COMMUNITY @ https://community.suitedash.com​​YOUTUBE @ https://youtube.com/suitedash​ACADEMY @ https://academy.suitedash.comVOTE @ https://vote.suitedash.com---​​Build your Business & Make MoneySU1TE : Become a SU1TE Partner @ https://su1te.com​AUTOP1LOT : Become an AUTOP1LOT Partner @ https://autop1lot.com​AGENCY : Become an Agency Partner @ https://suitedash.com/become-an-agency-partner/---FACEBOOK @ https://www.facebook.com/groups/suitedashofficialINSTAGRAM @ https://instagram.com/suitedashTIKTOK @ https://www.tiktok.com/@suitedashX @ https://x.com/suitedash​---Need advice and/or help adapting SuiteDash to your specific needs?We highly recommend that you work with one of our Certified Agency Partners. This Program is designed to connect SuiteDash customers with established and knowledgeable agencies who have verified and credible experience with the SuiteDash platform. CERTIFIED AGENCY PARTNERS @ https://suitedash.com/agency-partner-program/

As a long-time owner of a Carhartt Duck Detroit Jacket, I was especially interested in how its distribution centers operate. Today's episode of The New Warehouse welcomes Austin Myers. Myers is the senior manager of distribution center engineering at Carhartt. The family-owned company now operates five distribution centers spanning Carhartt-managed and DHL-operated facilities. Tune in for a practical look at how Carhartt is building a warehouse network designed to handle both long-term growth and unexpected change.Get to Intralogistex!Learn more about Third Wave Automation here. Follow us on LinkedIn and YouTube.Support the show

Debbie Diaz, CEO of JAB Audit, shares her innovative approach to leveraging AI and technology to transform the insurance, healthcare, and real estate industries. Discover how her entrepreneurial journey, tech insights, and strategic pivots are shaping the future of asset protection and forensic auditing.   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   —--------------------

What if you could build a 7-figure Shopify brand without building a 50-person team?In this episode of Winning With Shopify, Nick is joined by Phil Atkinson, founder of Greenphones, to reveal how AI and automation are changing the way ecommerce businesses operate — from analytics and Google Ads to marketing, research and customer service.Phil has built a radically lean ecommerce operation, using AI as a team of specialised “employees” with different roles, access to business data and the tools needed to analyse performance and help run the business.Rather than simply using AI to write content, this episode explores what happens when you start giving AI access to the systems and information that actually run an ecommerce business — and whether one person can use AI to compete with much larger teams.You'll learn:How to build AI employees for specific ecommerce rolesWhy Phil started using AI throughout his businessHow AI can analyse business data and improve decision-makingWhether AI can actually manage and optimise Google AdsWhat AI can replace — and what it can'tHow AI is changing the used-phone industryHow to use AI for marketing, research and advertisingWhether AI customer service is good enough for ecommerceHow Shopify brands should start implementing AIIf you're a Shopify founder, ecommerce manager or marketer trying to understand how AI can save time, improve decision-making and help a smaller team compete with much larger businesses, this episode is for you.Connect with Phil Atkinson:Website - philatkinson.comLinkedIn - Phil AtkinsonGreenphones:Website - greenphones.noInstagram - @greenphonesFacebook - GreenphonesIn this episode:(00:00) – Building AI Employees for Ecommerce(02:57) – Why He Started Using AI in His Business(03:27) – Creating AI Employees for Analytics(04:34) – Building an AI Team With Different Roles(07:44) – Giving AI Employees Access to Business Tools(09:11) – Can AI Manage and Optimize Google Ads?(11:02) – What AI Can—and Can't—Replace(17:02) – How AI Is Changing the Used-Phone Industry(21:13) – Using AI for Marketing, Research & Advertising(22:57) – The Jobs AI Still Can't Do(25:39) – AI Customer Service: Is It Good Enough?(28:37) – How Businesses Should Start Implementing AIFollow Winning With Shopify for practical ecommerce growth strategies, Shopify marketing advice, AI insights and expert conversations designed to help Shopify brands grow more profitably.Exclusive listener offers:Ships-A-Lot - Improve fulfilment costs and find hidden shipping margin leaks.Inventory Planner - Free seven-day inventory bootcamp.Omnisend - 30% off paid plans for three months with code WINNINGWITHOMNISEND.Yoast - 15% off Shopify and WordPress with code WWS.506 - Extended 30-day free trial on Shopify apps with code WWS.About Winning With ShopifyWinning With Shopify is a podcast for Shopify founders, ecommerce leaders and marketers, covering practical strategies for growing an online store.Spec Digital is a PPC & SEO agency helping ecommerce brands grow through performance marketing.

Automating eligibility and benefits verification takes more than establishing a connection to a payer. Benj Kamm explains how data quality, calibration, payer variation, and exception handling determine whether automation produces a complete and usable result.

I break down the Etsy AI disclosure mistake that can put your listings at risk and what sellers using AI artwork, print on demand, and digital downloads should review. Learn how to add an AI disclosure to your Etsy listing description, update older listings, and check your AI generator settings.  

Norwin Lacson is Founder at NOLA SMS Pro. NOLA SMS Pro helps Philippine businesses and GoHighLevel agencies reach customers through automated SMS without relying on expensive international SMS providers. It lets you send SMS directly from GoHighLevel workflows and the Conversations inbox, so you can automatically trigger appointment reminders, follow-ups, order and pickup notifications, customer updates, and promotional messages based on CRM events. Messages are routed through local Philippine SMS infrastructure, helping reduce SMS costs to as low as ₱1 per 160-character segment compared with significantly higher international rates. Businesses can also use an approved branded Sender ID so customers see the business name instead of an unfamiliar phone number. With no Twilio account, custom API development, or separate SMS platform required, NOLA SMS Pro gives agencies, SaaS builders, clinics, service businesses, and local companies a simpler way to automate SMS communication with Philippine mobile customers.In this episode:00:00 Introduction00:54 NOLA SMS Pro 03:51 Problem being solved10:19 Product/service 24:35 Stories behind the startup33:38 Vision40:02 Motivation41:47 Milestone42:57 Challenges44:38 Advice46:18 Contact & informationNOLA SMS PROWebsite: https://nolasmspro.comWebsite: https://nolacrm.ioFacebook: https://facebook.com/nolacrm2025THIS EPISODE IS CO-PRODUCED BY:Symph: ⁠⁠https://symph.co⁠⁠OneCFO: ⁠⁠https://onecfoph.co⁠⁠Yspaces: ⁠⁠https://knowyourspaceph.com⁠⁠ (5% discount on virtual office, meeting rooms, and event space! Code: YSPACESSUP)Vition Consulting and Workshops: ⁠⁠https://ksfinancialsph.com⁠⁠Twala: ⁠⁠https://twala.io⁠⁠GigGenius: ⁠⁠https://gig-genius.io⁠⁠SkoolTek by Edfolio: ⁠⁠https://skooltek.co⁠⁠Red Circle Global: ⁠⁠https://redcircleglobal.com⁠⁠CHECK OUT OUR PARTNERS:Enactus Philippines: ⁠⁠https://enactus.ph⁠⁠SoftPhil AI: ⁠⁠https://softphil.com⁠⁠Multibook Philippines: ⁠⁠https://multibook.com.ph⁠⁠Ask Lex PH Academy: ⁠⁠https://asklexph.com⁠⁠ (5% discount on e-learning courses! Code: ALPHAXSUP)Pahatid PH: ⁠⁠https://pahatid.ph⁠⁠Digital Workforce Group: ⁠⁠https://digitalworkforce.com⁠⁠Nascent Batteries: ⁠⁠https://nascentbatteries.com⁠⁠Level Up Talent Solutions: ⁠⁠https://lvluptalentsolutions.com⁠⁠Agile Data Solutions (Hustle PH): ⁠⁠https://agiledatasolutions.tech⁠⁠CloudCFO: ⁠⁠https://cloudcfo.ph⁠⁠ (Free financial assessment, process onboarding, and 6-month QuickBooks subscription! Mention: Start Up Podcast PH)ArkoTech: ⁠⁠https://arkotechspacesolutions.com⁠⁠DVCode Technologies Inc: ⁠⁠https://dvcode.tech⁠⁠Argum AI: ⁠⁠http://argum.ai⁠⁠PIXEL by Eplayment: ⁠⁠https://pixel.eplayment.co/auth/sign-up?r=PIXELXSUP1⁠⁠ (Sign up using Code: PIXELXSUP1)School of Profits: ⁠⁠https://schoolofprofits.academy⁠⁠Hier Business Solutions: ⁠⁠https://hierpayroll.com⁠⁠START UP PODCAST PHYouTube: ⁠⁠https://youtube.com/startuppodcastph⁠⁠Spotify: ⁠⁠https://open.spotify.com/show/6BObuPvMfoZzdlJeb1XXVa⁠⁠Apple Podcasts: ⁠⁠https://podcasts.apple.com/us/podcast/start-up-podcast/id1576462394⁠⁠Facebook: ⁠⁠https://facebook.com/startuppodcastph⁠⁠PIXEL: ⁠⁠https://pixel.eplayment.co/dl/startuppodcastph⁠⁠Website: ⁠⁠https://startupnetwork.ph⁠⁠This episode is edited by the team at: ⁠⁠https://tasharivera.com⁠

In this episode of The Spear, host Charlie Faint sits down with the command team of the 160th Special Operations Aviation Regiment, Colonel Sean Karrels and Command Sergeant Major Julio Santos, for a conversation about the people, leadership, and culture behind the Night Stalkers. Drawing on decades of experience in Army aviation and special operations, the two discuss their paths into the regiment, what the 160th looks for in its soldiers and leaders, and why teamwork, disciplined initiative, accountability, and mastery of the fundamentals remain central to its success. They explore how the regiment practices mission command, learns from failure, maintains demanding standards, and balances technological innovation with the tactical skills required to operate in the world's most challenging environments. Looking toward future conflicts, they also discuss artificial intelligence, autonomous systems, contested operating environments, and why the regiment's greatest advantage remains its people. Throughout the conversation, Sean and Julio return to a defining idea of the culture in the 160th: Night Stalkers don't quit. Chapters (00:00:02) - Introduction and Branch Week at West Point(00:01:44) - Colonel Karls' Origin Story and Path to Aviation(00:05:43) - Career in the 160th and Command Progression(00:10:08) - Sergeant Major Santos' Career Path(00:12:24) - History and Formation of the 160th SOAR(00:14:54) - Regiment Culture, Purpose, and Family Support(00:18:42) - Selection Process and What the Regiment Looks For(00:22:06) - Competition Culture Within the Regiment(00:25:26) - Quality and Diversity of Applicants(00:27:05) - Support Roles and Staff Professionalism(00:30:46) - Perspective Shift from Operator to Commander(00:34:50) - Mission Command in Practice(00:37:05) - Underwriting Risk and Learning from Failure(00:41:19) - Culture of Accountability and AARs(00:45:03) - Balancing Intent and Disciplined Initiative(00:54:07) - Importance of Doctrine and Knowing the Box(00:57:57) - Early Memories of Karls and Santos Together(01:00:28) - AI, Automation, and Future of Aviation Skills(01:06:44) - Primacy, Training Scars, and Building Fundamentals(01:09:01) - Preparing Night Stalkers for Future Conflicts(01:12:37) - Enlisted Selection and Standards(01:14:52) - Preserving and Evolving Night Stalker Culture(01:20:07) - Closing Reflections and Advice to Younger Selves(01:22:54) - Closing Remarks and Sign-off

Chris Grundemann joins Alexis and Kevin to discuss his career evolution from pulling cable to co-founding the Network Automation Forum. Chris shares insights on the challenges of adopting network automation, the impact of AI on the industry, the importance of professional networking, and strategies for maintaining a healthy work-life balance. AdSpot Sponsor: Meter Most IT... Read more »

Law firms know change is coming. Knowing what to do about it is harder. In this episode of the Lawyerist Podcast, Stephanie Everett talks with Debbie Foster about leading a law firm forward as technology, client expectations, and the business of law evolve.  Debbie explains why strategy often gets pushed aside for urgent client work and day-to-day demands. Together, they explore why firms struggle to move beyond “we've always done it this way,” how consensus can stall progress, and why great ideas mean little without execution and team buy-in.  They also examine how AI is raising the stakes for law firm leaders. Waiting for certainty is not a strategy. Stephanie and Debbie share practical ways to protect time for strategic thinking, challenge assumptions, build buy-in, and help teams adapt to change.  If your firm keeps talking about what needs to change but struggles to make it happen, this episode will help you move from ideas to action.  Listen to the previous episodes of our Law Firm Leadership Series.  #632: Law Firm Leadership: How to Lead Yourself Before Leading Your Team, with Debbie Foster & Stephanie Everett Apple | Spotify | LTN  #633: Leading People in Law Firms: Building Trust, Developing Talent, and Holding Standards, with Debbie Foster & Stephanie Everett Apple | Spotify | LTN  #634: Leading Law Firm Operations: Building Systems That Reduce the Daily Firefighting, with Debbie Foster & Stephanie Everett Apple | Spotify | LTN  Links from the episode:  https://posh.com/lawyerist/  https://lawyerist.com/scorecard/  https://beanextlevelleader.com/    Have thoughts about today's episode? Join the conversation on LinkedIn, Facebook, Instagram, and X!   If today's podcast resonates with you and you haven't read Be a Next Level Leader yet, get the first chapter right now for free! Looking for help beyond the book? See if our coaching community is right for you.   Access more resources from Lawyerist at lawyerist.com.   Chapters / Timestamps  00:00 – Introduction  01:47 – The New Small Firm Scorecard™  03:23 – Making Law Firm Progress Easier to Measure  06:38 – AI & Virtual Receptionists  08:08 – AI vs. Automation: What's the Difference?  09:03 – Using AI to Enhance the Client Experience  12:03 – AI for Sentiment Analysis & Quality Assurance  13:04 – Keeping Humans in Control of AI  14:56 – Leading Your Law Firm Forward  15:24 – Why Law Firm Strategy Gets Pushed Aside  16:54 – AI Is Changing the Game for Law Firms  18:35 – Law Firms Are Playing 3D Chess  19:30 – Why Strategic Thinking Needs Protected Time  20:40 – Looking Beyond the Day-to-Day  22:47 – Moving Past “We've Always Done It This Way”  24:02 – Why Leading Through Change Is So Hard  24:34 – Great Ideas Aren't the Problem. Execution Is.  26:58 – The Business Case for Law Firm Strategy  28:39 – Creating Believers Inside Your Law Firm  31:09 – Building a Culture That Thinks Ahead  32:28 – Why Leaders Will Build the Next Era of Law Firms 

Chris Grundemann joins Alexis and Kevin to discuss his career evolution from pulling cable to co-founding the Network Automation Forum. Chris shares insights on the challenges of adopting network automation, the impact of AI on the industry, the importance of professional networking, and strategies for maintaining a healthy work-life balance. AdSpot Sponsor: Meter Most IT... Read more »

Highlights from their conversation include: Lukas' Background in Product Design and Manufacturing Gaps (0:44) How Tesla's Model 3 “Production Hell” Sparked Industrial Next (4:16) Lessons from Waymo on Sensing, Compute, and Safety (7:05) What Contextual Understanding Means in a Factory (9:44) Breakthrough Automating Cable Insertion with Physical AI (11:43) Why Owning the Full Manufacturing AI Stack Matters (14:22) Reshoring, Fragile Supply Chains, and Role of Automation (16:19) Vision for AI-Powered Factories and Mass Production Without Scale (20:46) Cultural Shift Needed for Manufacturing in the U.S. and Europe (23:31) Closing Thoughts on Skilled Trades and Hands-On Engineering (28:28) Dynamo Ventures is a venture firm backing founders upgrading the physical economy. As intelligence moves into critical infrastructure and technology collides with physics, industry is entering a new era of transformation - the industrial renaissance. Born from the dirt and grit of supply chains and shaped by operations, not spreadsheets, Dynamo focuses on the complex realities of building in the real world. We invest in companies transforming infrastructure, manufacturing, logistics, transportation, and the systems that power global commerce. Dynamo works closely with founders who combine ambition with a bias to action, bringing a builder mindset to venture capital through deep operational insight, systematic pressure-testing and hands-on partnership. Our purpose is simple: to back the relentless shaping the industrial renaissance. Learn more at 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.

Scaling three companies as a solo founder sounds impossible until you see what Eric Levine has built with AI.Eric is the founder of Strategy Engine AI, ScubaZen, and Venice Threads Company. Before entrepreneurship, he worked at Meta, leading global strategy across Facebook and Instagram while helping improve operational efficiency. After four years, he left corporate life without a clear next step, right as generative AI was beginning to reshape how businesses could be built.With no technical background and no coding experience, Eric taught himself how to use tools like Claude Code and custom AI agents to create the infrastructure behind his companies. Today, he runs all three ventures as a one-person team from a co-working space in Venice Beach and shares what he is learning through Eric Grows Companies, where he helps founders build practical AI systems of their own.In this episode, Kevin sits down with Eric to talk about using AI as a strategic thought partner, taking ownership of web infrastructure for AI search and AEO, building with autonomous agents, and creating systems that allow a solo founder to scale without sacrificing personal peace.Key TakeawaysOwn Your Digital Foundation. More control over your website can improve how AI finds and cites your content.Use AI to Challenge You. The best tools question assumptions instead of simply agreeing.Prioritize Better Content. Human-refined, high-quality content is more likely to stay visible in AI search.Protect Your Peace. Build in a way that supports your well-being, not just growth.Create Daily Anchors. Fixed routines add structure to an otherwise flexible schedule.Build Systems That Keep Running. Automation reduces the amount of work that depends on you.Listen to the EpisodeYouTube: https://www.youtube.com/@risingtidestartups Apple Podcast:https://podcasts.apple.com/us/podcast/rising-tide-startups/id1330525474 Spotify: https://open.spotify.com/show/2eq7unl70TRPsBhjLEsNZR Website: https://risingtidestartups.com/Connect with Joe DalyWebsite: https://ericgrows.com/Youtube: https://www.youtube.com/@EricGrowsCompaniesClosing Thought“Your inner self is going to know what the right answer is. It just takes the guts to follow it. Your happiness is in your control. It's not anyone else's responsibility. If you don't take the leap, you may keep feeling that way forever.” — Eric Levine Sponsor ShoutoutsNaviqus Virtual Services - Hassle-free administrative support services that are efficient, affordable, and tailored to your needs. Check out https://naviqus.com now to jumpstart your business for 2026!Podbrand Media - Have you ever considered starting your own podcast for your company or brand?  Podbrandmedia.com can help.  Affordable and effective in content creation and lead generation!

Most automation projects don't fail because the software was wrong. They fail because nobody could answer a simpler question first: is our asset data actually trustworthy?Griffin Hamilton sits down with Yvonne Harrison of CamCode for part one of a two-part conversation on what has to be true before you automate anything. You know what you have, and everyone in the building calls it the same thing.What you'll learn:- Why "you can't automate if you can't locate" is the first test of any automation project, and the four failure patterns that give it away: missing assets, duplicate records, inconsistent naming, and disconnected systems- How to stop chasing a perfect asset register and build a consistent one instead, using audits, standardized identification, and a hierarchy that reads the same in every building- How often to reconcile physical assets against the register, and why the answer changes for high-acquisition organizations versus education, where funding cycles drive a three-year audit- Why data ownership has to be assigned by function, so the safety team, the sustainability analyst, and the asset manager can each pull their slice of the same recordAbout Yvonne:Yvonne Harrison leads the facilities and asset management market at CamCode, best known for durable asset identification. She spent four years at IBM as an asset lifecycle management SME and has worked implementation, sales, and hands-on hierarchy setup across roughly a decade in the space. She has seen what happens when a go-live date meets a spreadsheet nobody has audited.Part two picks up with process standardization, connecting physical assets to digital workflows, and the adoption problem that sinks most rollouts.Connect with the show:LinkedInFlowPathHost: Griffin Hamilton (griffin@getflowpath.com)The Modern Facilities Management Podcast is presented by FlowPath, facility management software built for modern FM teams. Learn more at getflowpath.com.If you enjoyed this episode, please leave a rating and review. It helps other FM professionals find the show

Register for Coaching Week: travelbizboss.com/coachingweekIn this episode, travel industry experts Korrine Johnson and Dayo Esho discuss how TravelJoy is transforming the way travel advisors sell cruises, streamline operations, and enhance client experiences. Discover practical tips, new features, and future visions for making travel planning more efficient and profitable. keywordstravel advisors, cruise sales, CRM, travel technology, automation, TravelJoy, cruise proposals, client experience, travel systems, industry innovation key  topicsThe most expensive mistakes travel advisors make inside CRMsHow automation saves time and increases revenueThe new cruise proposal comparison featureUsing AI to simplify client communicationThe importance of side-by-side cruise comparisonsFuture visions for cruise booking technology guest  nameDayo (TravelJoy) key  frameworksThe Cruise Proposal SystemThe Side-by-Side Comparison FrameworkThe Automation Adoption CurveChapters00:00 Introduction to TravelJoy's New Cruise Features02:03 Common Mistakes Travel Advisors Make in CRMs04:00 The Power of Automation and Templates05:54 Using AI for Client Proposals and Communication08:52 The New Side-by-Side Cruise Comparison Tool14:01 The Vision for a Fully Integrated Cruise Booking System20:02 Enhancing Client Experience with Visual Tools26:55 Future Opportunities in Cruise Data and API Integration32:55 The Big Picture: Transforming Cruise Sales and Service

Stay informed on current events, visit www.NaturalNews.com  - Music Video Release and Themes (0:11) - AI Technology and Creative Expression (32:29) - Automation and Economic Displacement (33:22) - Globalist Depopulation Strategies (43:05) - Canada's Medical Assisted Dying Controversy (52:26) - Abuses within Healthcare Systems (116:43) - Biological Threats and Genetic Survival (116:56) 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:

What happens to a professional services firm when AI makes the work faster—but clients expect to pay less?Shawn Yeager, founder of Upshift, works with professional services firms on the commercial implications of AI: not simply which tools to adopt, but what firms should sell and how they should price once parts of traditional delivery become easier to automate. Drawing on three decades working with emerging technologies, Shawn argues that AI is exposing the weaknesses of the billable-hour model while increasing the importance of judgment, trust, relationships, and commercially differentiated expertise.Joe and Shawn discuss how firms can map services into exposed, compressing, defensible, and emerging categories; why boutiques may have an advantage in experimentation; and why AI transformation needs to begin with business-model thinking rather than technology deployment. They also explore productization, subscription-based services, AI-enabled leverage, pricing and packaging, client validation before building new offerings, and what the rise of forward deployed engineers could mean for consulting firms.In this episode you will learnWhy AI is putting pressure on the traditional billable-hour model.How to classify services as exposed, compressing, defensible, or emerging.Why judgment and trusted relationships remain difficult to commoditize.How AI can enable new subscription and recurring-revenue offerings.Why firms should validate client problems before building AI products.How pricing, packaging, and positioning need to evolve alongside delivery.Why AI transformation should start with commercial outcomes, not technology.Chapters:(00:00) Introduction(00:16) Meet Shawn Yeager(01:13) From Microsoft to AI(03:07) AI Changes Consulting(05:44) Faster Horse or Car(07:59) Investor AI Due Diligence(10:42) Mapping Service Exposure(14:05) Subscription Advisory Future(15:07) New Skills and Leadership(17:23) Automation in Practice(21:55) Case Study Pricing Reset(27:01) Build vs Business Outcomes(29:48) Spinouts and New P&L(31:51) Forward Deployed Engineers(35:53) Closing ThanksResources:Follow Shawn on Linkedin: https://www.linkedin.com/in/shawnyeager Website: https://upshiftco.com/ Send us Fan MailProf. Joe O'Mahoney helps boutique consultancies scale and exit. Follow Joe on LinkedIn:https://www.linkedin.com/in/joeomahoney/Follow Joe on Twitter:https://twitter.com/joeomahoneyVisit Joe's Website:https://www.equitysherpa.com

Depending on who you ask, AI is either going to save the world or end it. Mikah Sargent has a different take: it's a tool, and what matters is what you do with it. Every week on Hands-On AI, Mikah tests the tools everyone's talking about and tells you the truth — what's worth your time, what isn't, and what's actually going on under the hood. Hands-On AI launches Thursday, October 1. Subscribe at https://twit.tv/shows/hands-on-ai Host: Mikah Sargent Download or subscribe to Hands-On AI at https://twit.tv/shows/hands-on-ai Want access to the ad-free audio and video and exclusive features? Become a member of Club TWiT today! https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

As The Trade Desk confronts negative growth guidance, executive turnover, and a 15% workforce reduction, media analysts Brian Wieser and Luke Stillman dissect the structural missteps behind the company's valuation drop.They reveal how an insistence on open-web transparency manifestos lost ground to buyer demands for price, convenience, and direct supply path performance.Key Highlights

Watch on YouTube: https://youtu.be/GAaJ_DBhCE8Jaeden and Conor explain why confident-sounding AI output can quietly damage SEO when it is trusted without review. They break down the weekly audit workflow behind strong search performance, how Google Search Console data guides improvements, and why human judgment and continuous iteration still beat one-off automation.Get the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiConor's AI Course: https://www.ai-mindset.ai/coursesJaeden's AI Business Community: https://www.skool.com/aihustle

The future of AI isn't just about smarter models—it's about putting AI to work in the real world. In this episode of Optimistic Outlook In Five, Lauren Espin explores how Industrial AI could help manufacturers tackle one of the industry's biggest challenges: a shortage of skilled engineering talent. As the United States works to expand and modernize its manufacturing capacity, AI is emerging as a powerful tool for helping engineers, operators and technicians become more productive. The episode takes a closer look at programmable logic controllers (PLCs), the technology that controls countless machines and production processes, and the automation engineers who program them. Because every factory has its own equipment, configurations and engineering data, applying AI to industrial automation requires more than a general-purpose AI model—it requires deep industrial context. That's where Eigen Engineering Agent, developed at Siemens' AI hub in Seattle, comes in. Integrated into the engineering software automation engineers already use, Eigen can use plant-specific engineering information to understand a task, write code, configure systems and work toward a defined performance goal. In pilot deployments across more than 100 companies in 19 countries, Eigen has delivered up to 50% greater engineering efficiency and can execute engineering tasks at two to five times human speed. The episode also explores why human oversight, simulation and validation remain essential for deploying AI safely and reliably in industrial environments—and why the next chapter of AI may be defined less by what AI can do in theory and more by what it can accomplish inside real factories. As Siemens invests $1 billion in AI capabilities and offerings over the next three years, Industrial AI is becoming an increasingly important part of the future of manufacturing, engineering and industrial automation. What happens when AI stops answering questions and starts doing the work? In manufacturing, that future is already taking shape. Show Notes Press Release: Siemens launches the Eigen Engineering Agent, bringing purpose-built AI to industrial automation engineering Eigen Engineering Agent

AI As Strategy Workshop: Work and Grow at the Speed of Your ThoughtsMost conversations about AI begin with the model. This workshop begins with the business.In this episode explores AI as a strategy question across ownership, ethics, operating design, pricing, and net new value. Raul breaks down the AI COO harness he built for Do Good Work, explains the 5 ingredients inside it, and shares practical examples of how agents support his work without taking control of the relationships or decisions that matter.Use the episode as a workshop with your team. By the end, you will have 2 questions to work through: what you wish your business could do today, and where your business model will need to evolve next.What You'll LearnWhy a good model is just a brilliant stranger, and what makes AI useful inside a real businessThe 3 parts of AI sovereignty: your data, the model, and the harness around bothHow the restaurant analogy explains orchestrators, agents, skills, hooks, memory, and rulesThe 5 ingredients every owned AI system needsWhy every product carries a belief about people, and how Raul's 9 operating values protect human flourishingWhy memory, security, compliance, and human approval have to be designed togetherThe difference between automation, augmentation, and net new value5 examples from Raul's AI COO, including daily briefings, content production, searchable business memory, relationship research, and quality controlHow AI moves value up the Service Stack toward judgment, transformation, accountability, and beliefThe 4 pricing choices in the New Value QuadrantWhy speed to value is becoming a critical measure for product and fulfillment teams2 reflection questions to help you decide where AI belongs in your businessChapters[00:00] Why I'm sharing this workshop [01:14] Work and grow at the speed of your thoughts [01:24] The goal: own your AI instead of only renting access [01:45] What the workshop will help you decide [02:10] Why I built my own AI COO [03:14] The experience that shaped what I built [03:48] AI sovereignty: data, model, and harness [04:33] Why a good model is just a brilliant stranger [05:17] The restaurant analogy for an AI harness [06:43] The 5 ingredients: agents, skills, hooks, memory, and rules [08:29] Human flourishing and the values inside the system [10:43] Why memory improves the system over time [11:08] Security, compliance, and human approval [12:04] One orchestrator with a team of specialists [14:06] What AI actually makes possible [14:38] Automation, augmentation, and net new value [19:54] Examples from inside my own AI COO [24:28] Quality loops and the chain [26:10] How AI moves value up the Service Stack [28:08] The AI pricing trap [29:40] How service business pricing is already changing [30:21] The 4 choices in the New Value Quadrant [34:46] Speed to value as a new KPI [35:31] Why the advantage window will not stay open forever [36:34] The written workshop and reflection questions [36:49] Question 1: what do you wish you could do but are not doing [38:34] Question 2: where will your business model evolve [39:37] The build manual and additional resourcesReflection Questions1. What do you wish you could do, but are not doing today?Name the bottleneck, opportunity, client outcome, product, or operating improvement you already know deserves attention. Then decide whether it is actually solvable with AI, which data and model it requires, what should live in the harness, and which decisions must stay human.2. Where will your business model evolve, or be forced to change?Review your value proposition, customer segments, channels, customer relationships, revenue structure, costs, and key partners. Look for where AI compresses an input and where that new capacity can create greater value for the people you serve.ResourcesFree Build ManualThe AI Growth Harness Manual: the open sourced architecture to build an owned AI system with your own agentMore on StrategyHow AI Will Evolve the 7 Parts of Your Consulting Business ModelOn Creating Net New ValueThe New Value Quadrant: How to Price in the Agentic EraThe Service Stack: What Remains When AI Eats Client Services

Ethan King is a three-time bestselling author and keynote speaker on AI automation. He helps non-tech businesses build reliable AI employees so they can grow profit without growing payroll. Top 3 Value Bombs 1. Automation is delegation. The most successful entrepreneurs adopt a delegation-first mindset and use AI to eliminate repetitive work rather than doing everything manually. 2. Your next hire may not be human. AI can handle increasingly autonomous work, while human team members can move into higher-value roles as "robot managers." 3. The real ROI of AI is reclaimed life. Time saved only matters when you use it for what compounds; family, purpose, creativity, meaningful work, and actually living your life. Check out Ethan's website to connect to him directly - Ethan King Website Sponsors HighLevel - The ultimate all-in-one platform for entrepreneurs, marketers, coaches, and agencies. Learn more at HighLevelFire.com. Fitnexa - If better sleep is a priority for you, Fitnexa helps you create the environment and routine to make it happen. Visit Fitnexa.com and use code EOFIRE10 to save 10 dollars on SomniPods 3 today.