Podcasts about Automation

Many businesses obsess over getting more leads, but the real growth happens in what you do after the click. In this episode of Sharkpreneur, Seth Greene interviews Michael Elliot, Founder of Adtrain, who discusses how he built a seven-figure PPC agency starting with just $3,000 in the bank and no safety net. Drawing from his experience with depression, high-risk entrepreneurship, and rapid agency growth, Michael explains what most businesses get wrong about paid traffic, lead follow-up, and data attribution. This episode provides a candid look at how conversion rate optimization, automation, and honest operational discipline turn ad spend into real, scalable revenue. Key Takeaways:→ The greatest ROI improvements usually occur after the click, not from attracting more traffic. → Broken attribution and dirty data result in expensive, misleading decisions.→ Quick lead responses greatly boost conversion rates.→ Automation is most effective when it first addresses key business processes. → AI tools are only useful when connected to fundamentals, not just shiny objects. Michael Elliott is an expert in turning paid media and AI into systems that deliver predictable revenue. With 14 years of experience, he's renowned for transforming messy ad accounts, vague funnels, and operational bottlenecks into clean, scalable engines that founders can rely on. A Google Premier Partner and top 1% Upwork freelancer, Michael has managed £1.5M/month in ad spend, generated £67M+ in client revenue, and built multiple seven-figure businesses across advertising, AI automation, and the holiday-home industry. Michael's AI-driven systems have helped companies generate 600–800 leads per month with just one salesperson, leveraging workflows that streamline operations and accelerate response time. His approach focuses on adopting AI in ways that directly impact profit, such as improving qualification, routing, and follow-up—rather than getting distracted by flashy tools. Michael leaves audiences with actionable steps to apply immediately, helping them maximize their ROI. Connect With Michael:Website: https://adtrain.co.uk/

Automation and lights-out manufacturing are often framed as the future of machining, but for many shops that future is already here. In this episode of MakingChips, we sit down with longtime industry leader Keith Grano to talk about what lights-out machining actually looks like in practice. Drawing on years of experience working with manufacturers, Keith explains how automation, machine monitoring, and disciplined processes allow shops to run more efficiently and extend production beyond the traditional workday. Lights-out machining isn't about replacing people. It's about using technology to make better use of the time, talent, and equipment already inside a shop. When done well, it increases capacity, improves consistency, and helps manufacturers grow even when skilled labor is limited. Keith walks through the practical considerations behind unattended production, including machine reliability, process stability, tooling strategy, and the systems required to keep parts running when no one is standing at the control. Along the way, we explore why many shops struggle to implement automation and why incremental steps often work better than trying to jump straight into fully autonomous production. This conversation also connects to a theme we've been exploring across our Generation CNC series: the next generation of manufacturing leaders is entering an industry where automation and digital systems are becoming foundational capabilities. Understanding how lights-out machining works, and when it makes sense, will shape how the next generation builds and scales their shops. Segments (1:28) Introducing Keith Grano and his background in manufacturing automation (3:06) What "lights-out machining" actually means in a modern shop (7:23) Why automation is about maximizing equipment and people, not replacing labor (12:09) The operational discipline required to run machines unattended (14:52) How ProShop ERP can help you achieve on-time delivery (20:11) Why process stability matters more than the machine itself (25:08) Tooling strategy, monitoring, and the systems that support unattended production (29:38) If you want the speed of AI without the risk, go to PaperlessParts.com (30:53) The mindset you need to have to implement lights-out machining (33:13) Where do you start with lights out automation?  (40:08) How to adjust your mindset to allow for automation (46:33) How machine monitoring and data change decision-making on the shop floor (51:27) Why we created Hire MFG Leaders (and why you should use it) (51:58) The most affordable way to automate a five-axis setup (58:54) How state, local, and federal grants can help cover purchases (1:00:47) How to determine what to charge for a machine's time  Resources mentioned on this episode Visit proshoperp.com/95 to get a free guide to achieve on-time delivery If you want the speed of AI without the risk, go to PaperlessParts.com Why we created Hire MFG Leaders (and why you should use it) ROI Calculator Connect With MakingChips www.MakingChips.com On Facebook On LinkedIn On Instagram On Twitter On YouTube

In this episode of The New Warehouse Podcast, Kevin chats with Adrian Stoch, CEO of Americas, and Colin McAleenan, Vice President of Marketing and Business Development at Hai Robotics. Stoch and McAleenan share insights on automation failures, customer expectations, data integrity, and the importance of alignment between vendors, integrators, and warehouse operators. Hai Robotics, known for its mobile ASRS technology and the recently introduced HaiPick Climb system, focuses on solving real operational challenges rather than simply improving robot performance. Stoch shares insights into automation failures, customer expectations, and the importance of aligning vendors, integrators, and operators around measurable operational outcomes.Learn more about sponsors here: EPG, iAutomate, Big Joe Forklifts, Surgere, Ocado Intelligent Automation Follow us on LinkedIn and YouTube.Support the show

I remember getting annoyed at my mom in 1998 because she didn't understand how to "right-click." I just assumed technology was intuitive. But it was intuitive to me because I grew up with it. It's not easy for everyone – a lesson I learned that day.Luckily, I took that lesson to heart and now I'm a much more patient teacher…much like today's guest.In this episode, I'm joined by tech confidence coach Avital Spivak to talk about the mental hangups that keep solopreneurs from mastering their systems. We look at why "I have a need" doesn't always mean "I need a new tool," and how to treat your software and hardware like a team rather than a chore. If you've ever felt like your computer was working against you, this episode will help you turn that chaos into clarity.Tired of fighting your tools? Grab my free tools assessment to start reclaiming your time athttps://streamlined.fm/toolsShow NotesAvital SpivakConnect with Avital on LinkedInHow I helped Laura Brazan save money on toolsWhat do you think? Send your feedback to streamlinedfeedback.com Simplify your tech stack at  https://streamlined.fm/tools ★ Support this podcast ★

Robby the chef has lots of endearing qualities. He can make over 5000 dishes, he's a consistent cook, and he's never late for work. But he's not a human. It is a 750 lb. stainless steel robot. With a rotating wok at its center. It's a wok-bot. Automation has changed many industries. But automation only started entering restaurant kitchens in the past couple decades. Which raises the question – what will robots mean for the restaurant industry? How will automation change jobs and how will it change the very food we eat?Today on the show, we talk with a Nobel prize-winning economist, Daron Acemoglu, about when automation is complementing or displacing workers. And we decide to put this wok-bot to the test. We pit a human chef against Robby the wok-bot in a head-to-metalhead smackdown. Further Listening/Reading:How AI could help rebuild the middle class The Big Red Button Check out our AI series: Planet Money makes an episode using AIWhy Nations Fail, America Edition (newsletter)A New Way To Understand Automation (newsletter)Get your book tour tickets here. / Pre-order the Planet Money book and get a free gift.Subscribe to Planet Money+Listen free: Apple Podcasts, Spotify, the NPR app or anywhere you get podcasts.Facebook / Instagram / TikTok / Our weekly Newsletter.This episode was hosted by Erika Beras and Justin Kramon. It was produced by Sam Yellowhorse Kesler. It was edited by Jess Jiang. It was fact-checked by Sierra Juarez and engineered by Robert Rodriguez with help from Cena Loffredo. Interpretation help from Huo Jingnan. Alex Goldmark is Planet Money's executive producer.To manage podcast ad preferences, review the links below:See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

This conversation with Emil Michael, undersecretary of defense for research and engineering and acting director of the Defense Innovation Unit, was recorded at the a16z American Dynamism Summit in Washington, D.C. Michael walks through how he inherited a department running 14 undefined technology priorities, cut them to six, and made applied AI number one. He also gives the first detailed account of why commercial AI contracts written under the previous administration created a vendor-lock crisis that put active military operations at risk.     Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, we sit down with Dean Bowen from Patriotic Insurance Group. He shares how he transitioned from blue-collar work into insurance and built a modern prospecting system using cold email, automation, and data. In this episode, he discusses producer development, why selling to friends and family isn't a sustainable strategy, and how younger agents can build credibility and win commercial clients in today's insurance market.Join the elite ranks of P&C agents. Sign up for Agent Elite today and get exclusive resources to grow your agency!

In this episode of the podcast, we dive into the future of delivery, the economics of food apps, and new platforms trying to reshape the industry. First, we break down the rise of next-generation delivery robots — including a new robot with arms capable of opening doors and completing deliveries more autonomously. What does this mean for last-mile logistics, restaurants, and gig workers? And how close are we to a world where robots handle the majority of deliveries? Then we discuss a big shift in the delivery platform landscape: Uber Eats increasing fees for some restaurants. The company is raising commission rates in certain pricing tiers (with some going from 15% to 20% and others up to 25%) while also charging additional fees tied to its Uber One subscription customers. For many independent restaurants already operating on tight margins, even a few percentage points can significantly impact profitability. We also explore alternative models that aim to give restaurants and shoppers more control, including: Dumpling — a platform that enables independent personal shoppers to run their own grocery delivery businesses. Prept Vacations — a service designed to help travelers maintain their health and fitness routines while on vacation. Topics covered in this episode: The rise of delivery robots with arms

Could AI transform our economies to produce explosive growth? Most economists are sceptical at best. Anton Korinek of the University of Virginia, leader of the CEPR research policy network on AI, thinks the threshold is closer than those models suggest.In his latest work, Korinek, Tom Davidson, Basil Halperin, and Thomas Houlden, have built a growth model that captures what happens when AI starts automating AI research itself. Automation does two things simultaneously: it accelerates research, and it offsets the diminishing returns that have historically stopped self-improving processes from compounding. Three reinforcing feedback loops: software quality, hardware quality, and general technological progress, each amplify the others. Korinek's findings are more optimistic than even the AI labs' own roadmaps, which focus on software capability alone. The research behind this episode:Davidson, Tom, Basil Halperin, Thomas Houlden, and Anton Korinek. 2026. "When Does Automating AI Research Produce Explosive Growth? Feedback Loops in Innovation Networks." Working paper, January 2026.To cite this episode:Phillips, Tim, and Anton Korinek. 2026. "When Does Automating AI Research Produce Explosive Growth?" VoxTalks Economics (podcast). Assign this as extra listening. The citation above is formatted and ready for a reading list or VLE.About the guestsAnton Korinek is a professor of economics at the University of Virginia. He leads the CEPR Research Policy Network on AI, which is building a community of researchers to understand and anticipate the economic impact of artificial intelligence. He is a member of Anthropic's Economic Advisory Council and was named by Time magazine among the hundred most influential people in AI. His research spanning the economics of transformative AI, growth theory, and the implications of advanced automation for labor markets and inequality has made him one of the most widely cited economists working on these questions. He is also the founder of the Economics of Transformative AI initiative at the University of Virginia, which focuses on the long-run economic consequences of AI systems that approach or exceed human-level capabilities.Visit the CEPR Research Policy Network on AI.Research cited in this episodeDaron Acemoglu's estimate of AI's growth impact. Acemoglu calculated that AI would raise annual growth by approximately 0.07 percentage points, arriving at this figure by multiplying the share of jobs likely to be affected by AI, the fraction of tasks within those jobs that AI could perform, and the productivity gain per task. Korinek argues the estimate was a reasonable description of the AI that existed in 2024 but did not account for the trajectory of capabilities since, nor for the feedback loops between AI progress and further AI development that his own paper models.Recursive self-improvement. The idea that an AI system, once capable enough, could design improved versions of itself, triggering an accelerating cycle of capability gains. The concept was first articulated by John von Neumann in the 1950s and has since become central to debates about transformative AI. All major AI labs, Korinek notes, are working towards some version of this vision; the economic question is whether the resulting growth would be explosive or would be damped by diminishing returns.Semi-endogenous growth models. A class of economic growth models in which long-run growth depends on the scale of the research workforce and the returns to research effort. The canonical insight, associated most closely with Nicholas Bloom and co-authors, is that "ideas get harder to find"; maintaining a given rate of progress requires ever-increasing research investment. Korinek and co-authors use and extend this framework, showing that automation can counteract diminishing returns by replacing human labor with capital in the research process, creating a new feedback loop that was absent from earlier models.Kaldor's balanced growth facts. Nicholas Kaldor's observation, made in the mid-twentieth century, that the major macroeconomic aggregates, including the capital-output ratio, the labor share of income, and the rate of return to capital, remain roughly stable over long periods. Growth economists built their models, including the Solow and Ramsey models, to fit these regularities. Korinek notes that those models were appropriate precisely because they matched the historical data; the question his paper raises is whether the data of the next few decades will look different enough to require a different class of models.Moore's Law. The empirical regularity, observed in computing hardware since the 1960s, that the number of transistors on a chip approximately doubles every two years. Korinek uses chip progress as a calibration benchmark: maintaining that rate of doubling has historically required roughly an eight percent annual increase in the scientific workforce working on chips. This figure allows the model to be parameterised with a real-world measurement of how much additional research input is needed to sustain a given rate of technological progress.Consumer surplus from digital technologies. Korinek raises the problem that GDP statistics are designed to measure market transactions and therefore do not capture the value people derive from digital goods and services beyond what they pay for them. He references research from the Stanford Digital Economy Lab as an example of work attempting to quantify this surplus. The implication for the paper's argument is that explosive AI-driven growth could be underestimated even in the statistics used to monitor it.More VoxTalks Economics episodes"Our Workless Future", an earlier conversation with Anton Korinek from September 2022, in which he set out the case for taking AI's impact on labor markets seriously.Related reading on VoxEUFirms predict an AI productivity boom is coming, a survey of over 5,000 CFOs, CEOs, and executives shows that around 70% of firms actively use AI, particularly younger, more productive firms. They forecast AI will boost productivity by 1.4%, increase output by 0.8%, and cut employment by 0.7% over the next three years.How AI is affecting productivity and jobs in Europe, firm-level evidence on AI's effects in Europe. The authors find that AI adoption increases labour productivity levels by 4% on average in the EU, with no evidence of reduced employment in the short run.From AI investment to GDP growth: An ecosystem view, how the current AI wave is contributing to US GDP, both directly through investment and indirectly through ongoing service flows. 

Key Takeaways Smart friction: AI prioritizes speed and efficiency, but in retail experiences where shoppers value engagement, intentional friction can enhance customer satisfaction and ultimately drive better returns, giving rise to the idea of "smart friction." Use case: Trader Joe's, for example, deliberately avoids self-checkout to create smart friction, using wait time to immerse customers in design, promote product discovery, and foster interactions with staff that enhance the overall brand experience. By preserving the elements that make its brand special rather than blindly automating for speed, the grocery retailer has been able to stay competitive despite having fewer locations than many rivals. Don't over-automate: While many AI solutions will benefit enterprises, organizations should be careful not to automate away the core elements that define and differentiate their brand. Visit Cloud Wars for more.

[Cold open (Concise Description) ends at 07:13.]There has been a lot of buzz lately with people mentioning and starting "AI Automation Agencies", yet they have no idea how to sell or position the service.They're all operating under some expectation that businesses just inherently need or want these services, which is absolutely not the case.But that doesn't mean you can't sell it and that there isn't value for it.It all comes down to positioning.-----MENTIONS IN THE EPISODE:r/agencynewbies threads:[Is this offer worth 2k monthly retainer?]https://www.reddit.com/r/agencynewbies/comments/1rkx1al/is_this_offer_worth_2k_monthly_retainer/-----RESOURCES:Want the tools and resources we recommend for agencies? Check them out here:https://www.agencygrowthpod.com/tools-----NEWSLETTERWant the show in your inbox? Sign up for the newsletter!https://www.agencygrowthpod.com/newsletter-----COMMUNITYLooking to join a community of agency owners? Join our Discord!https://discord.gg/uvHRRRFVRD-----CONTACTGot something to say? Send us a message:https://www.agencygrowthpod.com/contact

Most AP teams don't fail because they're careless — they fail because they trust the wrong things. An official looking invoice. A familiar process from a previous job. An email that “seems” like it came from a supplier. An automation tool that feels foolproof. These tiny assumptions slip into the workflow quietly… and they're exactly where the biggest errors, fraud attempts, and audit findings hide. #accountspayable #accounting #accountspayablemistakes Today, I'm going to walk you through the assumptions that even experienced AP professionals make without realizing it — the ones that cost companies money, damage vendor relationships, and create compliance headaches. If you work in AP, these blind spots are already in your process. The question is whether you've spotted them yet. Link to Trial Balance https://youtu.be/aGkK-ufW-UY Link to Three-way Match https://youtu.be/ysgyRbw3yVk Subscribe for more tips and insights like this: https://www.youtube.com/APNow?sub_confirmation=1 Looking for more of the most current business intelligence about + Best practices around your payment and accounts payable function + Current and new fraud protection protocols + The newest technology impacting your accounting, accounts payable, and payment functions + Career advancement +And much more!! +++++++++++++++++++++++ See most recent videos at: https://www.youtube.com/@APNow/videos See all short tips at: https://www.youtube.com/playlist?list=PLtL6rWSXZ-He5ELp9TP3wqQdHIbfIcFAB Learn more about AP Best Practices; Playlist at: https://www.youtube.com/playlist?list=PLtL6rWSXZ-HcvMSJTdNs0BCQJ0Ivb4l9V Learn more about Internal Controls in AP; Playlist https://www.youtube.com/playlist?list=PLtL6rWSXZ-HdV9JIterJ-bf6TwMset_z_ Looking for Automation insights: Playlist at: https://www.youtube.com/playlist?list=PLtL6rWSXZ-Hf_cZwQOcDZrYV4dA0oDVby Most accounts payable teams don't fail due to carelessness, but by trusting the wrong things. This video discusses common blind spots in accounts payable that lead to significant financial losses and fraud. We highlight how seemingly official invoices or deceptive emails can introduce errors into workflows, emphasizing the need for robust internal controls. Understanding these risks is crucial for effective finance and accounting operations and sound risk management.

Tune in to our weekly LIVE Mastermind Q+A Podcast for expert advice, peer collaboration, and actionable insights on success in the Probate, Divorce, Late Mortgage/Pre-Foreclosure, and Aged Expired niches! In this episode, Alyssa and Jessica from the marketing team explain why direct mail remains a cornerstone of real estate marketing, even in a crowded digital landscape. They highlight how the moment someone physically touches a mail piece creates stronger memory recall than scrolling past emails or banners. The discussion covers when to mail, what to send, and how to design campaigns that stay visible over time. Guidance is tailored to probate, divorce, pre-probate, late mortgage, and other niche leads, emphasizing credible branding, simple typography, and consistent color palettes. You'll get practical tips on envelope design, letters, postcards, brochures, and useful add-ons like checklists and resource guides. They stress testing and segmentation, treating non-responders, warm leads, and new prospects differently while keeping messaging cohesive. The episode also covers combining mail with digital channels for higher results, with benchmarks showing 9% house-list and 5% prospect-list responses, improving further with email, retargeting, SEO, and social. Real-world examples illustrate how recurring touches build trust, and how automation keeps campaigns running while you scale. Finally, Jessica invites listeners to book time for personalized branding guidance, emphasizing that long-term, multi-channel campaigns move probate and other niche deals forward effectively. Key Takeaways:  Direct mail is strongest when paired with digital marketing. Combining mail with websites, landing pages, and online follow-up creates multiple touchpoints that drive engagement. Physical mail captures attention in ways digital cannot. When someone handles a mail piece, it boosts attention and memory recall, helping your message stand out. Consistent branding builds trust. Using the same visuals, messaging, and tone across letters, postcards, and online channels reinforces credibility over time. Segmenting leads and testing improves ROI. Targeting specific audiences and experimenting with styles, messaging, and timing identifies the best response rates. Long sales cycles reward persistence. In niches like probate and divorce, consistent outreach keeps you top-of-mind until prospects act. Automation keeps campaigns consistent. Autopilot systems and scheduled mailings run marketing smoothly with less manual effort. QR codes and landing pages accelerate conversions. Quick access bridges offline and online engagement, making it easier for prospects to act. To learn more, visit https://www.AllTheLeads.com or call (844) 532-3369 to check how many leads are available in your market. #DirectMailMarketing #RealEstateMarketing #RealEstateLeads #LeadGeneration Previous episodes: AllTheLeads.com/probate-mastermindInterested in Leads? AllTheLeads.comJoin Future Episodes Live in the All The Leads Facebook Mastermind Group:  https://facebook.com/groups/alltheleadsmastermindBe sure to check out our full Mastermind Q&A PlaylistSupport the show

Picture a new bioprocess automation project: ambitious, expensive, and packed with promise. But after months of development, your team discovers a flaw that could have been caught with a simple mockup and a few sticky notes on a whiteboard. This episode confronts the real cost of skipping discovery, premature automation, and the myth that faster engineering always means faster solutions.Anthony Catacchio, CEO of Product Insight, continues his conversation with David Brühlmann to untangle the realities of automation strategy in biotech. Drawing from years of building robotics for high-stakes labs, Anthony explores why "minimum testable product" consistently outperforms "minimum viable product" when budgets, timelines, and patient outcomes are on the line.Highlights from the episode:When custom robotics development is genuinely justified — and the conditions that determine whether a large-scale automation investment makes sense for your organization (02:59).Tech demos and usability demos: how to test the hardest parts of your system concept in isolation before committing to full development (06:37).Minimum testable product vs. minimum viable product: why rushing to viable in hardware development is a costly mistake, and how controlled pilot deployments generate the learning that actually accelerates your program (07:37).Why testing in the real operating environment — not a simulated lab setting — is the only way to surface the hidden requirements that will determine whether your automation succeeds or fails (08:29).The "go fever" trap: why problems discovered late in development get buried rather than fixed, and how front-loading validation protects both your timeline and your budget (10:16).The single most practical question a biotech scientist can ask to determine whether a process is a genuine automation candidate: how much are you thinking while you do it? (16:02).Where AI and machine learning deliver real value in bioprocess research — and why the more urgent question is not how to automate a process, but how to redesign it to produce better data (17:59).Why capital equipment in biotech labs will need to change fundamentally to collect the volume and quality of data required to make AI-driven insights meaningful (19:01).Smart insight: Automation is not a technology problem, it is a systems development and requirements development problem. The teams that deeply understand their process and environment before touching a line of code or a line of engineering will always outperform those that do not. As Anthony puts it: you need to look at the whole picture.Connect with Anthony Catacchio:LinkedIn: www.linkedin.com/in/anthony-catacchio-b881581bProduct Insight website: www.productinsight.comNext step:Need fast CMC guidance? → Get rapid CMC decision support hereSupport the show

Manufacturing Hub is back with Episode 252, where co hosts Vlad Romanov and Dave Griffith break down what an AI survival guide should actually look like for manufacturing and industrial automation professionals. This is not a hype conversation about replacing people with magic software. It is a grounded discussion about what AI tools can do today, where they fail, why context and data quality matter so much, and how industrial teams should think about experimentation without losing sight of real operating constraints.In this episode, Vlad and Dave unpack the evolution many engineers and technical leaders have already felt in real time, from early prompt engineering, to agent based workflows, to MCP servers, skills, context management, and the growing cost of tokens and infrastructure. The conversation moves beyond generic AI commentary and into the reality of plant floor environments, where success depends on process knowledge, data architecture, OT constraints, cybersecurity, governance, and clear business value. One of the strongest themes throughout the episode is that manufacturers cannot skip the hard work of structuring data, understanding workflows, and defining use cases simply because AI tools are moving quickly.Vlad brings a very practical industrial lens to the discussion. Drawing on years of hands on experience across controls, manufacturing systems, plant modernization, and digital transformation, he explains why industrial AI has to start with operational context. A maintenance team, an engineering team, and a quality team do not need the same data, do not ask the same questions, and should not be handed the same AI workflows. That distinction matters. This conversation also highlights why the best industrial AI implementations will likely come from teams that combine domain expertise with strong technical execution, rather than generic AI shops trying to force a solution into environments they do not fully understand.Dave adds an important systems and adoption perspective, especially around cost, scaling, management expectations, and the danger of trying to prompt your way past foundational architecture work. Together, Vlad and Dave explore why manufacturers are interested in AI, why many are afraid of being left behind, and why so many projects still stall once they hit the realities of obsolete equipment, weak data models, fragmented systems, and unclear ownership of information. They also discuss deterministic logic versus LLM behavior, reporting workflows, industrial dashboards, PLC code generation concerns, and the practical question every manufacturer should ask before investing: what problem are we solving, for whom, and what is the measurable return?For those new to Vlad, he is an electrical engineer and manufacturing leader with deep experience across industrial automation, controls, data systems, OT architecture, modernization strategy, and plant operations. Through Joltek, Vlad works with manufacturers on digital transformation, IT OT architecture and integration, modernization planning, operational improvement, and technical workforce enablement. Learn more here:Joltek: https://www.joltek.com IT OT Architecture and Integration: https://www.joltek.com/services/service-details-it-ot-architecture-integrationIf you are a plant leader, controls engineer, systems integrator, OT architect, SCADA or MES practitioner, or simply someone trying to separate useful AI workflows from noise, this episode will give you a much more realistic framework for thinking about industrial AI adoption.Timestamps00:00 Welcome back and why this episode matters01:00 Setting up the industrial AI theme for the coming weeks03:10 From prompt engineering to structured AI workflows05:30 AI agents, parallel workflows, tokens, and context windows09:00 MCP tools, Playwright, and what new integrations unlock16:20 How Vlad researches AI and where useful information actually lives22:00 Real manufacturing problems versus AI in search of a problem29:40 Why industrial data architecture is harder than most people think37:00 OT expertise, workforce enablement, and who should build solutions45:40 Practical advice for manufacturers starting the AI journey50:30 Data governance, hallucinations, infrastructure, and cybersecurity57:20 What looks promising today in reporting, dashboards, and industrial applications

Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, industry and tech.After years of remote‑first work built on swift trust, companies are asking a harder question: what does a organization really stand for when people rarely show up together? As AI accelerates change, leaders are rethinking presence, team design, and collaboration to fuel trust, innovation, and growth. This week, Dave, Esmee, and Rob are joined by Dr. Tim Currie, disruptor, author, innovator, and advisor, to examine transformation versus trust, the role of AI, and whether organisations can truly build culture without deeper human connection. TLDR00:42– Introduction01:10 –  Hang out: New film releases07:17 – Dig in: The trust gap in remote work17:57 – Conversation with Dr. Tim Currie54:07 – The Wizard of Oz at the Sphere in Las Vegas and staying connected GuestDr. Tim Currie: https://www.linkedin.com/in/dr-tim-currie-37756a/Book Swift Trust: https://swifttrustbook.com/HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

A significant risk area discussed is the challenge of “invisible work” in managed services due to increasing automation and the adoption of artificial intelligence (AI). Customers, according to participants, increasingly lack awareness of the work being performed on their behalf, which raises doubts about the value of services provided by MSPs. With prices for services escalating, clients are demanding higher-touch engagement and visibility into operations, creating a disconnect between automated backend activities and client expectations for tangible service. Supporting this, hosts cited the difficulties in proving the value of proactive prevention, such as security incidents that did not occur, and noted that with further automation, particularly through AI, this challenge will intensify. Customers may question why they continue to pay elevated fees if tasks can be completed by AI or low-cost competitors, amplifying price pressure and the potential for misaligned perceptions of value. Examples included references to the current technology stack, where some tools cost more to integrate and operate—particularly with new AI workloads—than previous turnkey supplier models, often with increased operational complexity and support risks. The episode addressed secondary risks stemming from overreliance on both small, unproven vendors and on large-scale automation. Hosts highlighted the volatility of new entrants in security and infrastructure, pointing out that many lack lifecycle support or robustness, making them unreliable partners for business-critical tasks. Recent events, such as the OpenAI boycott following its Department of Defense contract and operational disruptions at AI provider Claude, were used to illustrate instability among technology suppliers. The conversation also covered the risks of unchecked AI deployment, with examples from military and financial sectors where automation led to errors or was used to rationalize significant workforce reductions. The practical implications for MSPs and IT service providers center on maintaining transparency with clients, reassessing vendor risk (particularly with AI and new software providers), and calibrating expectations for automation. The hosts recommended reinforcing client communication regarding the nature and value of services, conducting due diligence on technology partners, and aligning automation strategies with operational risk management frameworks. Emphasis was placed on the need for ongoing human oversight, especially where automated decisions could lead to adverse outcomes, and on approaching AI adoption as a phase for careful experimentation rather than wholesale business transformation. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

“Be yourself.” “Bring your whole self to work.” “Don't worry what people think.” These phrases sound empowering—but in real workplaces, they can create confusion, conflict, and even harm. In this episode of The Radical Candor Podcast, Kim Scott and Amy Sandler sit down with organizational psychologist Tomas Chamorro-Premuzic—Chief Science Officer at Russell Reynolds Associates, professor of business psychology at University College London and Columbia University, and author of Don't Be Yourself: Why Authenticity Is Overrated and What to Do Instead. They start with a moment of actual Radical Candor: Kim reached out after Tomas and Amy Edmondson accidentally conflated Radical Candor with “brutal honesty.” Instead of stewing, she did the hard (and human) thing—she talked to him. That conversation sets the tone for a bigger question: What does it really mean to be “authentic” at work? Tomas breaks down four “authenticity traps” that sound like wisdom but often backfire: Always be honest with yourself and others Don't worry what people think of you Always stay true to your values, no matter what Bring your whole self to work Together, they explore what replaces these traps: self-complexity, emotional intelligence, feedback you can absorb without defensiveness, and the discipline to regulate your impulses so you can build trust and safety—without turning the workplace into either chaos or conformity. If you've ever felt stuck between being “real” and being effective, this episode offers a more useful frame: your right to be you should never override your obligation to others. ⁠⁠⁠Website⁠⁠⁠ ⁠⁠⁠Instagram⁠⁠⁠ ⁠⁠⁠TikTok⁠⁠⁠ ⁠⁠⁠LinkedIn⁠⁠⁠ ⁠⁠⁠YouTube⁠⁠⁠ ⁠⁠Bluesky Resources: Fast Company: To create psychological safety, don't bring your whole self to work TEDx Talk: Why Do So Many Incompetent Men Become Leaders? Next Big Idea Club: The Surprising Science of Why Being Authentic Can Hold You Back HBR Podcast: Why Are We Still Promoting Incompetent Men? Why Do So Many Incompetent Men Become Leaders? (And How To Fix It) [book] Don't Be Yourself: Why Authenticity Is Overrated and What to Do Instead [book] I, Human: AI, Automation, and the Quest to Reclaim What Makes Us Unique [book] Dr. Tomas Chamorro-Premuzic [website] Mentioned on the podcast:  Infantilised: How Our Culture Killed Adulthood [book] Seinfeld episode: Life Hack “Do the opposite” [YouTube short] The Best Leaders are Great Followers HBR article by Tomas Chamorro-Premuzic and Amy C. Edmondson Chapters: (00:00) IntroductionKim and Amy welcome Tomas Chamorro-Premuzic and reflect on how this conversation began with Radical Candor. (03:10) Radical Candor vs. “Brutal Honesty”How a misinterpretation sparked a real conversation about kindness, nuance, and impact. (07:20) Why “Don't Be Yourself”The meaning behind the provocative title and why authenticity advice often backfires at work. (14:10) The Four Authenticity TrapsAlways be honest, don't care what people think, never compromise your values, and bring your whole self to work. (19:30) Confidence, Competence, and FeedbackWhy developing skill comes first—and how confidence is often about timing and delivery. (27:30) Staying True to Values Without Becoming DogmaticWhy uncompromising values can divide teams and what leadership actually requires. (30:10) Authenticity as PrivilegeWhy complete self-expression is often a luxury of the powerful, not a universal standard. (36:15) Psychological Safety Isn't ComfortWhy safety should enable productive discomfort, not chaos or bullying. (41:55) Emotional Intelligence vs. Unfiltered AuthenticityWhy adapting to others is a strength, not a lack of integrity. (49:10) Regulating Impulses as a LeaderHow filtering behavior builds trust without sacrificing humanity. (01:03:50) Conclusion Connect:Resources for show notes:  Learn more about your ad choices. Visit megaphone.fm/adchoices

  Welcome to the Conscious Millionaire Show - How to Become an Ultra-Performer. Now 3X week M / W / F with host JV Crum III.   Are you an Entrepreneur, Founder, or CEO? Revenues $250K to $50M? Sign up for your Breakout Session...and discover how to break out as an Ultra-Performer who reaches your peak 1% level...     SCHEDULE Your Breakout Session Now     Join Host JV Crum III, with 2 exits and over 75M revenues in his companies, he is the Ultra-Performer Coach for 6- to 8-figure owners ready to join the top 1%.   Season 12 of the award-winning Conscious Millionaire Show. World's #1 conscious business and performance podcast for foundeers and entrepreneurs who want to become Ultra-Performers.      SUBSCRIBE to Conscious Millionaire Show     Millions of Listeners. 190 countries. Inc Magazine "Top 13 Business Podcasts" with over 3,000 episodes. Listen 3X a week.

What does the messy, behind-the-scenes reality of building a group practice look like? How do you balance optimism with caution when hiring your very first clinician? Once the right person […] The post Building Great Lakes Online Counseling Week 11: Hiring and Automation | POP 1353 appeared first on How to Start, Grow, and Scale a Private Practice | Practice of the Practice.

Wingpy is an open-source tool that aims to make it easier to automate network tasks that use Cisco APIs. Today Eric is joined by returning guest Andreas Baekdahl, the creator of Wingpy. They discuss why Andreas started Wingpy, how it can help streamline your workflows, and how you can start using it right away. They... Read more »

Wingpy is an open-source tool that aims to make it easier to automate network tasks that use Cisco APIs. Today Eric is joined by returning guest Andreas Baekdahl, the creator of Wingpy. They discuss why Andreas started Wingpy, how it can help streamline your workflows, and how you can start using it right away. They... Read more »

Tom Nassr, co-founder and CEO of X-Ray, walks us through building a Zapier Agent from scratch in under 10 minutes. He demonstrates a practical use case: creating an AI agent that scans Gmail for specific emails and delivers a weekly summary to Slack. You'll learn the key difference between Zapier Agents and traditional Zaps, when to use each, and how to think about deterministic vs. non-deterministic automation.Check Tom's youtube channel: https://youtube.com/@xrayautomation Resources Mentioned: • Zapier: https://zapier.com/• X-Ray Website: https://xray.tech/ • X-Ray Search Tool (free): https://search.xray.tech/

Automation in supply chains often brings to mind robots and conveyor belts. But one of the most impactful forms of automation happens behind the scenes: labeling. In this episode, Reid Jackson and Liz Sertl speak with Nick Recht, Director of Sales at TEKLYNX, about how labeling automation improves accuracy, reduces costly manual steps, and connects critical data across supply chain systems. Nick explains why the industry still relies on the risky "file, open, print, and pray" process and how integrating labeling directly with business systems like ERP and WMS platforms can eliminate errors and save hours of manual work. In this episode, you'll learn: Why labeling automation reduces costly errors and manual processes How integrating labeling with business systems improves efficiency What the shift to 2D barcodes and RFID means for supply chain visibility Things to listen for: (00:00) Introducing Next Level Supply Chain (01:17) Nick Recht's journey at TEKLYNX (06:52) What automation really means in labeling (08:48) The "file, open, print, and pray" problem (15:08) Measuring the ROI of labeling automation (21:01) The shift from 1D to 2D barcodes (27:15) How automation supports 2D barcodes and RFID (31:50) A real-world automation success story (37:37) Nick Recht's favorite tech Connect with GS1 US: Our website - www.gs1us.orgGS1 US on LinkedIn Register now for this year's GS1 Connect and get an early bird discount of 10% when you register by March 31 at connect.gs1us.org.  Connect with the guest: Nick Recht on LinkedInVisit TEKLYNX at teklynx.com

[00:00] - Intro [00:55] - I remember when AI came out [03:03] - An uncertain future [04:23] - AI recognizes AI [06:24] - Truth and reality are blurred now [07:26] - The Trades are the future [09:07] - Humanity must prevail [10:46] - Mass disruption [12:05] - Automation is already here [14:27] - Closing ______________________________Connect with us! Realize your full potential.Watershape University®Water chemistry questions?Orenda®Questions? Comments? Or apply to sponsor the show:ruleyourpool@gmail.com Facebook: @ruleyourpoolYouTube: @rule-your-pool

  Welcome to the Conscious Millionaire Show - How to Become an Ultra-Performer. Now 3X week M / W / F with host JV Crum III.   Are you an Entrepreneur, Founder, or CEO? Revenues $250K to $50M? Sign up for your Breakout Session...and discover how to break out as an Ultra-Performer who reaches your peak 1% level...     SCHEDULE Your Breakout Session Now     Join Host JV Crum III, with 2 exits and over 75M revenues in his companies, he is the Ultra-Performer Coach for 6- to 8-figure owners ready to join the top 1%.   Season 12 of the award-winning Conscious Millionaire Show. World's #1 conscious business and performance podcast for foundeers and entrepreneurs who want to become Ultra-Performers.      SUBSCRIBE to Conscious Millionaire Show     Millions of Listeners. 190 countries. Inc Magazine "Top 13 Business Podcasts" with over 3,000 episodes. Listen 3X a week.

What is up fraud fighters, and welcome to Fraud Forward!AI is accelerating fraud, 100 percent. But the bigger risk, the thing that should keep every fraud leader up at night, is what happens when fraud teams stop thinking strategically because the queue never ends.In Part 2 of Fraud Forward, I'm back with Ted Josephson, VP of Bank Fraud & Credit Strategy at Synchrony Financial, and we are getting into fraud leadership at the enterprise level, where strategy, AI, automation, and culture collide.Because let me just assure you, fraud prevention at scale requires more than tools. It requires fraud leadership strategies, fraud team leadership that protects time for long-term planning, and strategic fraud solutions that can separate normal fraud noise from the signals of a true fraud shift.Then we get direct about AI. Where it's delivering real value today, where the industry is still overhyping “AI” that is not actually learning, and why certain decisions, especially first-party fraud, should never be fully automated without human accountability and empathy.And fraud fighters, we close with what Ted thinks is being underestimated right now, and it's big. Agentic commerce creating a new accountability and disputes nightmare, plus the rise of casual “friendly fraud” as a cultural norm. Because fraud prevention evolution is not just a technology program, it is bank fraud leadership and credit risk leadership in action. This is fraud prevention innovation, and it demands strategic fraud decisions.What you'll hear in this episode:How enterprise fraud teams protect time for long-term strategy when fraud never stopsWhy planning cannot be an extra, it has to be scheduled like any other critical operating functionHow to tell the difference between normal fraud noise and the signals of a systemic weaknessWhat separates a short-term spike from a true fraud shiftWhere AI is delivering real value today, including consistent case narratives and operational efficiencyWhere the industry is still overhyping “AI” that is not actually learningWhy certain decisions, especially first-party fraud, should never be fully automated without human accountability and empathyWhy agentic commerce could create a new accountability and disputes nightmareHow casual “friendly fraud” is becoming normalized, and why that cultural shift mattersHow banking fraud strategy and credit strategy leadership collide in enterprise fraud teamsYou should listen to this episode if you:Lead fraud solutions leadership efforts and you feel like the urgent is crowding out the importantRun fraud prevention at scale and need a better framework to separate noise from true fraud shiftsAre building fraud leadership development for your team and want practical, real-world strategyManage enterprise fraud teams and need strategic fraud insights you can apply immediatelyOwn bank fraud leadership responsibilities and want to pressure test your strategic fraud solutionsAre navigating credit risk leadership decisions alongside fraud risk and disputesAre worried about agentic commerce, dispute accountability, and what comes nextAre watching “friendly fraud” become a cultural norm and need fraud leadership strategies to respondIf you liked this episode, be sure to subscribe and review the podcast on iTunes, Spotify, YouTube, or wherever you listen to podcasts. It really helps with getting the word out.

AI presents such a dazzling set of opportunities that federal leaders can be tempted to dive in without careful planning.  This week on Feds At the Edge, we move past the hype to explore the tactical realities of deploying AI within the unique constraints of the federal environment. Ashley Billman, Cybersecurity Analyst, Pacific Northwest National Laboratory, explains why agencies must align AI architecture with mission and security needs, whether on-prem, hybrid, or cloud environments, and highlights a critical question: what's actually in the training data, and what might be missing? The discussion also explores emerging risks. Experts Gary Bartlett from Illumio and Mark Mitchell from Netskope join the conversation to warn against the "agent" trend, sharing cautionary tales of AI inadvertently accessing sensitive information and explaining why robust governance is the only way to ensure your AI's conclusions are actually valid. Tune in on your favorite podcast platform to learn why AI literacy is no longer an optional skill, but a strategic necessity for the future of federal cybersecurity. Stop chasing the headlines and start building a framework that turns AI from a risk into a mission-critical asset

"I've been in this industry for 40 years and we have never been at a moment like we are today. …About 10 years ago, a little bit more than that, the narrative at that time was we were closing down plants…. Now the narrative today is, Hey, you know what? Some of those plants you shut down, we've changed our mind. How hard would it be to restart that?... All of these hyperscalers (Google, Amazon, e.g.) are figuring out partnerships and marriages, if you will, with nuclear and trying to help nuclear be brought to the marketplace….I mean, the demand is off the charts, and that's really the biggest game changer." Maria Korsnick on Electric Ladies Podcast We need massive amounts of clean energy to power our electricity-hungry economy while also reducing global warming to keep the ravages of climate events at bay. Solar and wind are great but intermittent. Between new innovations and super-high energy demands, nuclear power is back in vogue. But what are the dangers? Listen to Maria Korsnick, President and CEO of the Nuclear Energy Institute and a 40-year veteran of the industry in this fascinating conversation with Electric Ladies host Joan Michelson. She even operated nuclear reactors. They also share insightful career advice. You'll hear about: How nuclear plants actually work, and why she calls them "essentially a power plant." Why she says nuclear plants are so much safer today than ever before. Why nuclear power is having a renaissance, with demand "off the charts" and 40-60-year lifecycles. Plus, insightful career advice, such as… "Honestly, I would say get into nuclear power. Nuclear power is …at a threshold for incredible growth. And the value of that is it really doesn't matter what your background is. You could be an accountant, you could be an HR person, you could be an engineer, you could be a chemist. We need people with four year degrees, no degrees… We're not just building that here, we're building it around the world. Some people might want to do some more travel as part of their job. There's going to be room for that…. There's all kinds of opportunities. You've got startup companies and you have established companies that have been in business for 50 years." Maria Korsnick on Electric Ladies Podcast Read Joan's Forbes articles here. You'll also like: An Industrial Revolution Unlike Any Other – with Gwenaelle Avice-Huet, EVP and head of Automation at Schneider Electric, from their U.S. Innovation Summit 2025 Congresswoman Chrissy Houlahan (D-PA), on the politics of energy and infrastructure Doreen Harris, President and CEO of NYSERDA, on how New York is leading the way to the clean energy future. Jana Gerber, President, Microgrids, Schneider Electric Paula Glover, from the Alliance To Save Energy Autum Huskins, Hitachi Zosen Inova, turning waste into energy (and wine) Marit Brommer, Ph.D., International Geothermal Association, how geothermal is a dependable energy source Claire Seaborn, former Chief of Staff to Canada's Minister of Energy and Natural Resources on what the U.S. can learn from Canada's energy policies Subscribe to our newsletter to receive our podcasts, blog, events and special coaching offers.. Thanks for subscribing on Apple Podcasts or iHeartRadio and leaving us a review! Follow us on Twitter @joanmichelson

(00:00) Introduction to Matt Bell and Mouser Electronics (03:14) Understanding Mouser's Operations and Scale (06:12) The Role of Automation in Order Fulfillment (09:15) Philosophy on Automation and Workforce Integration (12:12) Growth and Expansion of Mouser's Operations (15:15) Identifying Automation Opportunities (18:09) Balancing Existing Technologies with New Innovations (20:58) Strategic Investment in Automation (22:04) Emerging Technologies in Logistics (22:46) Navigating Technology Choices (23:18) Flexibility in Automation (24:54) In-House Development vs. Off-the-Shelf Solutions (26:41) Collaboration Across Teams (28:37) The Importance of Team Dynamics (30:21) Lessons Learned Over Two Decades (31:55) Advice for New Professionals (33:48) Listening for Improvement (36:37) The Scale of Operations (38:23) Final Thoughts and Advice This episode was brought to you by Mouser, our go-to source for electronics parts for any hobby or prototype. Click HERE to check out the many resources shared by Mouser across a range of topics from AI to Healthcare.  Want to hear more from Matt? Give him a follow on LinkedIn Become a founding reader of our newsletter: http://read.thenextbyte.com/ As always, you can find these and other interesting & impactful engineering articles on Wevolver.com.

In this episode of Torsion Talk, Ryan shares a candid conversation about leadership, burnout, accountability, and how AI may fundamentally change the way entrepreneurs manage their time and their lives. After spending months in an intense grind fixing operational problems inside his company, Ryan reflects on the lessons he learned about priorities, leadership failures, and the importance of putting the right systems and people in place.Ryan opens up about what happens when entrepreneurs place work above everything else, including health, family, and personal well-being. He discusses the reality many business owners face when seasons of nonstop work take over and how that pressure can create problems in both business and personal life. Through reflection, mentorship, and reading books like The Ruthless Elimination of Hurry, Ryan explains how he's restructuring his priorities and why leadership at home and at work requires intentional balance.A key concept discussed in this episode is how extending too much grace without accountability can lead to enablement, entitlement, and eventually resentment. Ryan breaks down how this pattern can appear in both personal relationships and business leadership, and why entrepreneurs must be willing to address issues early instead of avoiding difficult conversations.The episode also explores the rapid evolution of AI and automation. Ryan shares how he is building internal AI tools and experimenting with agents that can handle scheduling, communication, and operational tasks. He walks through a real example of using AI to reorganize his weekly schedule while walking during his son's soccer practice, demonstrating how these tools can help reclaim time and improve productivity.Looking ahead, Ryan believes AI agents will soon become a normal part of everyday life, helping entrepreneurs manage calendars, communication, and tasks automatically. The real question, however, isn't just what AI can automate—it's what we choose to do with the time it gives back. Ryan challenges listeners to think intentionally about whether that time will be reinvested into more work or redirected toward health, family, and personal growth.This episode is both a leadership reflection and a practical discussion about how AI may reshape entrepreneurship over the next few years, and why the most important decision may simply be how we choose to spend the time we gain.Find Ryan at:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://garagedooru.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aaronoverheaddoors.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://markinuity.com/⁠Check out our sponsors!Sommer USA - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://sommer-usa.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Surewinder - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://surewinder.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stealth Hardware - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://quietmydoor.com/⁠

Many bioprocess automation projects fail, not because the technology is wrong, but because no one clearly defined the problem before buying the robot.In this episode, David Brühlmann sits down with Anthony Catacchio, CEO of Product Insight, to explore why rigorous system design and honest problem definition matter more than any individual technology, and how industrial robotics expertise translates directly into smarter lab automation.Highlights from the episode:Why biotech's "special case" mindset around automation is costing companies time and money — and what industrial robotics already has figured out (02:45).How Anthony's cross-industry career — from surgical devices to warehouse robotics — shaped a process-first approach to system design (05:05).The automation paradox: how to increase throughput and reduce errors without eliminating the expert human judgment your process depends on (09:13).Vision-guided robotics, AGVs, and quadrupeds: what has genuinely changed in capability and what that means for bioprocess applications (11:21).Human-bot testing: the low-cost validation method that reveals workflow flaws before a single robot is purchased (15:07).The $1M vs. $10K decision: a real case study where the right answer was walking away from automation entirely (15:54).Why talking a client out of an expensive project is sometimes the highest-value service a technical consultant can deliver (17:38).Building long-term credibility by recommending the simplest solution that actually solves the problem (19:24).Smart insight: The most expensive automation mistake happens at the whiteboard, not on the manufacturing floor. Define the problem with surgical precision before you ever evaluate a solution.In Part 2, the conversation continues with a deeper look at building automation systems that deliver practical solutions to bioprocessing challenges without overengineering.Tune in for practical strategies and honest reflections on automation, system design, and the importance of clear problem definition in biotech hardware development.Connect with Anthony Catacchio:LinkedIn: www.linkedin.com/in/anthony-catacchio-b881581bProduct Insight website: www.productinsight.comNext step:Need fast CMC guidance? → Get rapid CMC decision support hereSupport the show

Sign up for our event at: https://simplecfo.com/john-moreyIn this episode of the Profit First for Real Estate Investing podcast, I sit down with real estate investor and community leader John Morey to talk about one of the most common—but least discussed—problems in real estate businesses: cash flow chaos. John shares how implementing the Profit First system completely changed how he manages money in his business, giving him clarity, structure, and something many entrepreneurs desperately need—peace of mind.We also dive into the common mistake of running your business with “one big bucket” of money, why so many investors struggle to pay themselves or cover taxes, and how small changes in allocation can create massive long-term stability. Whether you're doing your first deal or hundreds of deals a year, this conversation will help you rethink how your business handles cash.  ⸻Episode Highlights[0:00] – John's long-time connection with David and the early Profit First journey[4:44] – The painful realization: having money in the bank but not enough to pay taxes[6:13] – The “one bucket problem” most real estate investors operate under[7:21] – Why starting small with allocations makes the system easier to adopt[9:09] – The embarrassing truth many investors won't admit about cash flow[13:05] – The biggest benefit John experienced after implementing Profit First: peace of mind[14:39] – How automated allocations remove stress from paying taxes and expenses[16:05] – Why John pivoted toward rentals and townhome communities[18:18] – The power of local meetups and being in the right rooms[21:19] – Creating systems for different real estate strategies[25:41] – How automation allows Profit First to run in the background of your business⸻5 Key Takeaways:The “one bucket” system creates chaos. Without clear allocation, it's easy to have money in the bank but still be unable to cover taxes or expenses.Start small with Profit First. Even allocating 1% to profit or owner pay can begin shifting the financial structure of your business.Automation removes stress. Once your accounts and allocations are set up, the system can run with minimal effort.Peace of mind is the biggest ROI. Knowing exactly where your money is going eliminates financial anxiety.Systems allow you to pivot. Whether you're wholesaling, flipping, or building rentals, structured finances give you the flexibility to adapt.⸻Links & ResourcesRegister for the Profit First workshop with John Morey: https://simplecfo.com/john-moreyConnect with John Morey on Facebook or through the North Alabama Investors meetupLearn more about Profit First for real estate investors: https://www.simplecfo.com⸻If this episode helped you realize that cash chaos doesn't have to be part of your business, please rate, follow, and review the podcast. And share it with another investor who's ready to turn profit into a habit—not just an occasional event.

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

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

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

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

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

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

In this episode, Charles Craggett, Marketing Automation Specialist at Become The Authority, discusses how automation and AI are transforming sales and marketing for trades businesses like roofing and plumbing. He shares insights on building systems that generate leads, improve customer engagement, and increase conversions, all while maintaining control and ownership of data.

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

This week's episode of ASCII Anything features a virtual webinar with Moser Consulting and Red Hat where we explore the advantages of AI automation and virtualization for modern enterprise. This virtual event with industry experts explores how AI automation and virtualization are reshaping enterprise IT. This event is tailored for business leaders and decision-makers seeking strategic insights into Red Hat's open source solutions. 

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

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

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

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

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

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

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