Podcasts about lifecycle

Book a 1|1 Bitcoin Consulting call with mehttps://pathtobitcoin.xyz/Join my Bitcoin Learning Community & and access Free Courseshttps://www.skool.com/the-bitcoin-masters-4115/Listen on Fountain and boost with Nostr!https://fountain.fm/show/4eGsKXMnfWDWx4h72tbPWhere I buy Bitcoin (Free BTC & Non-KYC options)https://bitcoinwell.com/referral/bitcoinnotcrypto15% Stampseed Titanium Seed plates (BEST WAY TO STORE BTC PRIVATE KEYS)https://www.stampseed.com/USE CODE : BTCNOTCRYPTO155% off the MicroSeed Stamping kit CODE : HODLhttps://microseed.io/?ref=HODLGet a Coldcard Hardware wallet herehttps://store.coinkite.com/promo/169FA71FECC4928F725D5% off Start9 servers for plug & play Bitcoin NodesCODE: BNC5https://store.start9.com/Umbrel home for a Bitcoin node and home serverhttps://a.umbrel.com/hodl/umbrel-homeAffordable Privacy Phones & deviceshttps://www.mark37.com/ref/BNC/5% off using code : BNCBuy a Bitforge or Bitaxe here!https://dtvelectronics.com/store/?aff=22Use code hodl for 10% offFree Open Source Bitcoin and Investment tracking toolshttps://plebtools.com/Become a Member of the Channel, Get exclusive content, and livestream playbackhttps://www.youtube.com/channel/UC2aM2gVVEHTu0pfE1ZyA0BQ/joinFollow Rajat, Jor, and I's new show togetherhttps://www.youtube.com/@MapleBitcoinJoin our Communityhttps://www.skool.com/maplebitcoinListen to this as a podcasthttps://podcasters.spotify.com/pod/show/bitcoinnotcryptoFollow me on Nostrnpub1zqm9zant0rxf49wfgw8pt5h0j50cetfes6hwa73u7sxstlzcsz8qh6x9fsFollow on Twitter/Xhttps://x.com/forrestHODLDonate to the show herehttps://coinos.io/BNCVFVSome of the above links may be Affiliate links that support this show at no extra cost to you. None of the links are Sponsored links. This allows me to only promote products and services I personally use and believe in.

In this episode of On The Mark, Mark Immelman returns from Scotland with fresh insight from a week of Links Golf, the Genesis Scottish Open, and Open Championship week. Mark breaks down Tom Kim's impressive victory at the Genesis Scottish Open and shares what golfers of all levels can learn from his patience, maturity, shot-making, routine, and renewed approach to the game. After a period of searching, coaching changes, and mental clutter, Tom Kim found his way back by simplifying his swing, trusting his process, and accepting that even great work does not always produce immediate results. Mark also dives into the unique demands of links golf: firm fairways, tight lies, pot bunkers, wind, trajectory control, creativity, patience, recovery, and attitude. Whether you are preparing for a golf trip, watching The Open Championship, or simply trying to improve your everyday game, this episode is packed with practical lessons you can apply immediately. In This Episode, You'll Learn: What Tom Kim's Scottish Open victory teaches golfers about patience and maturity. Why good practice does not always guarantee good results. How expectations can hurt your performance. The “Golf Life Cycle” of good, indifferent, bad, indifferent, and good play. Why you should not panic when your game starts trending downward. How to identify your strengths, habits, and tendencies as a golfer. Why short game and recovery skills are essential when your ball striking is off. What Tom Kim changed in his swing to create more consistency. How quiet wrists can help stabilize the club face. A simple centered pivot drill you can do at home. Why “Operation 30” can help golfers stop overthinking. How to play firm, fast links conditions. Why the chip-and-run is so valuable on tight lies. How to vary trajectory and club selection in changing conditions. When to use the putter from off the green, and How to better understand and manage wind on the golf course. Key Takeaways: Golf improvement is holistic. Fitness, energy, walking endurance, mindset, and swing mechanics all affect performance. Links golf rewards patience, creativity, recovery, and smart decision-making. Tom Kim's win was a lesson in maturity, patience, conviction, and simplifying the mind. When your game gets shaky, return to your fundamentals instead of trying every quick fix. Great players make their bad days decent by relying on short game, putting, and smart course management. Quiet wrists can help improve club face control and ball striking consistency. A centered pivot can help improve contact, especially in wind. Doubt creates tension, and tension wrecks golf swings. A confident swing with the wrong club is often better than a doubtful swing with the right club. Wind hurts more than it helps, so plan accordingly, and Practicing different trajectories, uneven lies, and wind conditions can prepare you for real golf.  This podcast is a one-stop shop where you will get game improvement insights, Links Golf insights and a nugget or two on how to deal with the inevitable slumps in golf.  Watch it on YouTube - search and subscribe to Mark Immelman.

If Spencer commissioned today, at 22 years old with everything he learned from 12 years on active duty, what would he actually do with his money? A listener on Instagram asked exactly that, and this episode is the answer: a 13-point playbook for brand new officers and enlisted servicemembers, from your first bank account to the books that will shape your investing philosophy. Plus why "borrow the Career Starter loan and invest it" is less of a no-brainer than the internet claims, and why achieving financial independence might be the worst thing that ever happens to you. Questions Answered If you were starting over as a new military officer, what would you do differently? Should you take the Career Starter loan and invest it? How much should a new servicemember contribute to the Roth TSP? Which lifecycle fund should you pick when you first create your TSP account? How big should your emergency fund be when you're just getting started? How do you change your state of legal residency to a no income tax state? What savings rate is reasonable without sacrificing your 20s? Whose financial advice can you actually trust as a new servicemember? What books should every new officer or enlisted member read? Main Topics Covered The 5-step quick start: military-friendly bank, emergency fund in a HYSA, 5% into Roth TSP, pay off debt, build your savings rate Everybody has an angle: how to filter advice from senior NCOs, Facebook TSP-timing groups, and finance influencers (including Spencer's own credit card affiliate incentive) Why "you gotta buy real estate every PCS" advice may not survive 6-7% interest rates Career Starter loan math: borrowing and investing $36,000 vs. just investing the payments, over 5 years and 40 years Roth TSP setup, the 24-month wait for the 5% match, and the Lifecycle 2075 fund Opening a Roth IRA at Schwab, Fidelity, or Vanguard and starting with VT (Vanguard Total World Stock ETF) LADS investing: low-cost, automated, diversified, simple, and why bonds can wait until your 40s Emergency fund milestones: $1,000, then $5,000, then $10,000 Changing your state of legal residency with DD Form 2058, the 8 no income tax states, and home of record vs. state of legal residency Sustainable savings rates: the ski trip Spencer still regrets skipping as a lieutenant Why financial independence can leave you lost if you sacrifice relationships and experiences to get there Turning your commute into a financial education with podcasts and audiobooks The military financial order of operations, step by step Books Mentioned The Military Money Manual: A Practical Guide to Financial Freedom by Spencer Reese (Amazon or shop.militarymoneymanual.com) I Will Teach You to Be Rich by Ramit Sethi The Psychology of Money by Morgan Housel The Simple Path to Wealth by JL Collins The Little Book of Common Sense Investing by John Bogle A Random Walk Down Wall Street by Burton Malkiel Die With Zero by Bill Perkins Money for Couples by Ramit Sethi Resources Mentioned Free Ultimate Military Investing Course: militarymoneymanual.com Military Financial Order of Operations: militarymoneymanual.com/foo r/MilitaryFinance on Reddit (50,000+ members) and the Military Money 101 prime directive flowchart TSP: tsp.gov myPay for TSP contributions and LES DD Form 2058 (change of state of legal residency) Military-friendly banks: USAA, Navy Federal Credit Union, PenFed Spencer and Jamie offer one-on-one Military Money Mentor sessions. Get your personal military money and personal finance questions answered in a confidential coaching call. militarymoneymanual.com/mentor Over 24,000 military servicemembers and military spouses have graduated from the 100% free, Ultimate Military Credit Cards Course available at militarymoneymanual.com/umc3 In the Ultimate Military Credit Cards Course, you can learn how to apply for the most premium credit cards and get special military protections, such as waived annual fees, on elite cards like the Chase Sapphire Reserve® Card. Learn how active duty military, military spouses, and Guard and Reserves on 30+ day active orders can get your annual fees waived on premium credit cards in the Ultimate Military Credit Cards Course at militarymoneymanual.com/umc3 If you want to maximize your military paycheck, check out Spencer's 5 star rated book The Military Money Manual: A Practical Guide to Financial Freedom on Amazon or at shop.militarymoneymanual.com. If you have a question you would like us to answer on the podcast, please reach out on instagram.com/militarymoneymanual.

AI isn't just speeding up recruiting; it's actually forcing companies to redesign work itself, blending human judgment with agentic execution across hiring, mobility, and skills development. As a result, most conversations these days are about AI in the enterprise centre on software development and engineering. Recruiting, hiring, and talent management get far less attention, but they may be where AI's impact is most immediate.In a recent episode of Tech Transformed, host Dana Gardner spoke with Meghna Punhani, Chief People Officer at Eightfold AI, about how organisations are rethinking talent acquisition, workforce planning, and employee development in an AI-driven world. Meghna Punhani's perspective is shaped by nearly two decades at Google, a stint leading employee experience at Palo Alto Networks, and her current dual role at Eightfold AI, where she both leads the people function and helps build the product her team relies on. That vantage point gives her a practical, ground-level view of what works and what doesn't when AI meets HR.Reimagining the Talent Lifecycle with AI Punhani's central argument is that most legacy HR systems were designed for a different purpose, one that has evolved as work itself has changed and the workforce now includes AI agents alongside people. Simply bolting automation onto existing processes, she argues, isn't enough. Organisations that are succeeding are the ones re-engineering roles, workflows, and organisational structures from the ground up, treating this as an operating-model shift rather than an IT upgrade.This shift touches the entire talent lifecycle, from how companies find candidates and evaluate skills instead of just job titles to how they support internal mobility. Punhani points out that skills now have a much shorter shelf life than in the past, which means static job descriptions are giving way to dynamic, skills-based decision-making. AI, she says, helps surface pathways for employees that traditional resumes and titles would never reveal, including her own nontraditional route into HR leadership.How AI Is Reshaping Workforce Strategy Trust is the recurring theme throughout the discussion. Punhani is candid that employees often fear AI-driven decisions, especially around jobs and evaluations. Her approach is focused on transparency first. When Eightfold rolled out digital twins internally, employees were uneasy until leadership explained how the technology worked and used it themselves, which helped build organisation-wide confidence.That same principle shows up in Eightfold's own hiring practice. One example is the company's campus recruiting programme in India, where its AI interviewer conducted roughly 90 per cent of interviews. This enabled recruiting to scale from around eight or 10 university partners to more than 150, and from approximately 5,000 applications to 15,000, without pulling engineers away from their day-to-day duties.Time-to-offer dropped from around six weeks to as little as four days in some technical roles, largely because interviews could happen around the clock rather than around a recruiter's or hiring manager's schedule. Beyond recruiting, Eightfold's internal initiative, nicknamed Project Andromeda, applies the same re-engineering approach across sales and finance, reportedly reclaiming thousands of employee hours through redesigned, agent-assisted workflows.AI and the Future of TalentLooking ahead, Punhani doesn't frame AI as a threat to human contribution, but she frames it as an amplifier of it. As tools become more accessible across every function, she believes the people who will succeed won't be the ones who know the most facts, since AI can answer those questions. Instead, it will be the people who ask better questions, orchestrate multiple AI agents, and apply judgment where the right answer isn't obvious.For HR leaders specifically, Punhani's advice is to claim a seat at the table now, rather than letting AI adoption happen without a people-first lens. This means learning the technology firsthand, demonstrating its value to non-technical teams, and partnering closely with CTOs and CIOs to shape decisions jointly. Her advice for individuals entering this shifting job market is similarly grounded: focus on learning agility over any single technical skill, since the skills in demand today may look different within months.Future of AI in Talent ManagementAcross the conversation, Punhani returns to one idea, and that is AI in talent management isn't primarily a technology problem; it's a leadership and trust problem. Organisations that treat it that way, redesigning work with both humans and agents in mind, are the ones seeing measurable gains in speed, candidate experience, and internal mobility.For HR leaders exploring AI adoption, the takeaway from this episode is to start before you feel ready, build trust through transparency, and let AI handle evaluation and execution so people can focus on judgment, empathy, and connecting the dots across the organisation. If you would like to find out more, visit eightfold.ai or connect with Meghna Punhani on LinkedIn.TakeawaysAI's impact on talent acquisition and management.Reengineering work processes with AI.Building trust and transparency in AI systems.Skills-based internal mobility and workforce planning.AI-driven candidate evaluation and employee development.Chapters00:00 Introduction to AI in Talent Management02:59 Understanding AI's Role in Talent Acquisition06:07 AI's Impact on Workforce Planning and Skills Development10:02 Building Trust in AI for Hiring Processes13:04 Internal Use of AI at Eightfold AI18:58 Measuring ROI from AI in Talent Acquisition25:02 Enhancing Candidate Experience with AI29:53 Future Directions for AI in Talent Management

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What happens when an industry managing more than $150 trillion is still held back by decades-old systems, manual work, disconnected data, and highly paid experts spending hours on tasks AI could complete in seconds? In this episode, I speak with Markus Ruetimann, a member of the Experion Technologies Advisory Board and former Global Chief Operating Officer with more than three decades of experience in institutional asset management, alongside Siraj Alimohamed, Global Head of Data and AI at Experion Technologies. We begin with a simple question. What does an asset manager actually do with our pensions, savings, and investments every day? Markus takes us through the investment process, from research and stock selection to portfolio construction, trading, settlement, performance analysis, and regulatory reporting. Along the way, we examine where time, money, and expertise are being lost. Siraj then explains composable AI through one of the clearest analogies I have heard. Think of building with Lego bricks rather than creating every solution from scratch. Companies can create reusable AI agents for research, risk monitoring, compliance, portfolio analysis, trade execution, and reporting, all operating on a shared data and governance foundation. We discuss how this model can change the economics of AI adoption. Siraj shares examples of AI reading hundreds of broker reports in seconds, freeing hundreds of analyst hours, reducing portfolio review cycles from days to hours, improving trade execution quality, identifying settlement risks before trades fail, and accelerating regulatory reporting. The conversation also tackles one of the most common reasons companies delay AI projects: "our data isn't ready." Siraj argues that waiting for perfect data can become an excuse for inaction. His advice is to identify two or three measurable use cases, prove their value within weeks, and use those results to build confidence and secure further investment. But technology is only part of the story. Markus explains why AI adoption in asset management is also a cultural and organizational challenge. Companies must decide which processes to automate, which to support with AI, and where human judgment must remain firmly in control. The message from both guests is refreshingly practical. Start small, start with a real business problem, connect AI systems through a common data foundation, and give skilled people more time to make better decisions. Can composable AI help asset managers respond faster, reduce costs, improve investor returns, and make better use of human expertise, or will legacy systems and cultural resistance continue to slow progress? Listen to the conversation and share your thoughts.

Chantel Soumis, Head of Marketing and Partnerships at Franchise Empire, joins host Brendon Dennewill to challenge how brands are approaching AI, customer engagement, and content strategy in 2026. With two decades of experience as a fractional CMO and franchise marketing leader, Chantel makes the case for human-first marketing, a structured listening tour approach, and a deliberate "anti-AI policy" that protects brand trust. If you lead marketing, revenue, or operations in a franchise or multi-location brand, this episode will reshape how you think about consistency, differentiation, and the real cost of getting it wrong.What You'll LearnWhy your customers are your brandThe case for an anti-AI policyWhat the EOS framework reveals about marketing gapsHow listening tours shape content strategyThe hidden cost of AI-generated brand damageWorking Genius and right-seat leadershipCAC and LTV as the marketing "holy grail"Resources MentionedEOS (Entrepreneurial Operating System)The Six Types of Working Genius by Patrick Lencioni Who Not How by Dan Sullivan HubSpot Culver's Frozen Custard Franchise Business Review (FBR) Survey Vistage Is your business ready to scale? Take the Growth Readiness Score to find out. In 5 minutes, you'll see: Benchmark data showing how you stack up to other organizationsA clear view of your operational maturity Whether your business is ready to scale (and what to do next if it's not)Let's ConnectSubscribe to the RevOps Champions NewsletterLinkedInYouTubeExplore the show at revopschampions.com. Ready to unite your teams with RevOps strategies that eliminate costly silos and drive growth? Let's talk!

An Aztec Pyramid, a sensible scientist obsessed with hypnosis and past lives, and of course… a mummy. In this episode of the Mummy Movie Podcast, we look into Attack of the Mayan Mummy (1964).As well as reviewing the film, we also use it as a jumping off point to answer the following question: What was the role of noblewoman in Aztec Society, when it comes to marriage?Email: mummymoviepodcast@gmail.comPatreon: www.patreon.com/MummyMoviePodcastFilm LinksThe Aztec Mummy (1957)Curse of the Aztec Mummy (1957)The Robot vs the Aztec Mummy (1958)The Wrestling Woman vs the Aztec Mummy (1964)BibliographyBerdan, F. F., & Smith, M. E. (2020). Everyday life in the Aztec world. Cambridge University Press.Deil, L,B. (2007). Till death do us part: Unconventional marriages as Aztec political strategy. In, Ancient Mesoamerica, 18. pp. 259-272Del Castillo, B. D. (1963). The Conquest of New Spain (Vol. 123). Penguin UK.Noble, W. (2010). In the Aztec Empire. Mitchell Lane Publishers, Inc.Pennock, C. D. (2008). Bonds of Blood: Gender, Lifecycle, and Sacrifice in Aztec Culture. Springer. Hosted on Acast. See acast.com/privacy for more information.

Download the free Drug vs. Device Quality comparison guide here: https://letscombinate.kit.com/216fbfc6c2In this Let's Combinate episode, Subhi explains why drug and device quality are not the same and highlights five key areas where they differ for combination products.Drug quality often focuses on consistently remaking the product that was proven clinically, using critical quality attributes, specifications, analytical methods, stability, process validation, and batch release.Device quality emphasizes design robustness and intended use through design controls and product realization, from user needs and design inputs to validation and design transfer.This episode covers five major differences:Quality philosophy and evidenceDevelopment approachRisk managementRegulatory submission focusLifecycle management and change controlThe goal is not to force one system onto the other. The goal is to understand the differences early enough to intentionally integrate drug and device quality across development, manufacturing, regulatory strategy, and lifecycle management.Chapters00:00 Drugs vs. Devices: Why Quality Differs00:20 Intro and Practical Guide00:50 Quality Philosophy and Evidence02:27 Development Approach Differences03:56 Risk Management Mindsets05:48 Regulatory Submission Focus06:23 Lifecycle and Change Control08:03 Summary and Next StepsSubhi Saadeh is a quality professional, consultant, auditor, and trainer who specializes in drug-device combination products, medical devices, pharmaceutical quality systems, supplier quality, and lifecycle management. Through Let's Combinate, he helps pharmaceutical and medical device teams bridge the gap between drug and device quality, regulatory expectations, and practical execution.

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This episode, we're stepping back to the golden age of natural history podcasting by resurrecting the format of the classic show Wild Ideas: The Podcast. Joining us on the trail is one of the OG hosts: the man himself, Gordon Maupin. It's a 3-way team-up where each of us brings a heavy-hitting seasonal mystery to the table.First, Steve unravels the rule-breaking world of the Ambystoma polyploid salamander complex, where unisexual lineages are mixing up DNA from different species and blurring the lines of what makes a species a species. Then, Gordon shrinks things down to look at the world of duckweed ecology, a group that includes the smallest flowering plants in the world. Finally, Bill turns our eyes to the skies over the marsh to pull back the curtain on dragonfly migration, looking into the recent science that shows some dragonfly species are multi-generational continental travelers (as well as badass predators).Come listen in as Gordon and the guys answer the question, “What's going on outside?” (Wild Ideas fans, that's for you)This episode was reecorded at the Iroquois National Wildlife Refuge in Alabama, NY on May 13, 2026.Episode LinksCheck out the Iroquois National Wildlife Refige and their Bald Eagle Cam.Here's the New York Times article about 7 Podcasts About the Joys of Bird Watching that includes a mention of our show.Episode NotesGetting The Great Egret's Latin Name RightDuring a quick aside this episode, Gordon spotted a Great Egret and Steve tried to recall its scientific name, tentatively going with Erodea alba. He wasn't entirely wrong! The correct name is Ardea alba.While alba means "white," Ardea is Latin for "heron." It also ties back to the ancient myth by everyone's favorite Roman poet Ovid, who wrote about a bird rising directly from the ashes of the burned city of Ardea. What's the Deal With Axolotls?We wondered if the axolotl is in the same genus as the Jefferson and blue spotted salamander (Ambystoma) and yes they are!Species: A. mexicanum (Axolotl) Unlike most members of Ambystomatidae—which typically metamorphose into terrestrial adults—the axolotl exhibits a trait called neoteny (or paedomorphosis). This is where an organism retains juvenile or larval traits into adulthood. Axolotls retains its aquatic, larval features (like its signature feathery external gills) into adulthood and spends its entire life in the water Bill's Hard Claim on ID'ing Jefferson Salamanders Bill said there is no way we could tell if it was a Jefferson salamander: is that true? Bill was basically right if we're talking about visually confirming a female-looking salamander in a blue-spotted/Jefferson overlap zone. Many unisexual individuals cannot be confidently identified by sight, and genetic testing is the clean answer. But during the breeding season, a male with a swollen cloaca is not part of the all-female unisexual lineage, so that can help narrow things down. So, a male in breeding condition can sometimes be identified much more confidently than a female/unisexual-looking animal, but you need to have serious knowledge about species location, morphology, and breeding-season characteristics. The Jefferson Complex vs. the Bigger Unisexual Salamander SituationDuring the episode, Bill had a “wait, what are we even talking about?” moment while Steve was explaining the huge all-female/unisexual Ambystoma salamander lineage.Steve was talking about the big-picture version: a bizarre evolutionary group that can involve genomes from several mole salamander species, including Blue-spotted, Jefferson, Small-mouthed, Streamside, and Tiger Salamanders.Bill, though, was thinking what we hear more about in the Northeast and Great Lakes region: the “Jefferson complex,” or the Blue-spotted/Jefferson Salamander mess. Around here, that usually means you can't usually ID a Jefferson Salamanders or a Blue-spotted Salamander down to species because the sally in front of you may belong to the all-female, polyploid lineage that can't be confidently sorted out just by looking at them.So Bill's question was basically: “Hold on. Is this identification nightmare only a Jefferson/Blue-spotted thing, or does it happen with the other species too?”And the answer is: yep. It can happen with the others too.The narrower Jefferson complex usually refers to the Blue-spotted/Jefferson part of the story, especially in places where those are the main overlapping species. But when scientists zoom out and include the other players (Small-mouthed, Streamside, and Eastern Tiger Salamanders) they usually refer to the whole thing as the unisexual Ambystoma lineage.So the practical field takeaway is this: in places where these species overlap, a female-looking Ambystoma salamander may be impossible to identify with confidence by appearance alone. Even experts may only be making an educated guess unless they use genetic testing. Measuring red blood cell size can help estimate ploidy (basically, whether the animal has extra chromosome sets) but DNA testing is the real way to know which genomes are actually in there. Is Duckweed the Smallest Flowering Plant? Yes, but specifically a microscopic type of it. The world's smallest flowering plants belong to the genus Wolffia - Often referred to as "rootless duckweed" or "watermeal," they are the tiniest members of the duckweed family (Lemnaceae) Individual Wolffia plants are usually less than 1 mm long, roughly the size of a pinhead or cornmeal, and the flowers are correspondingly microscopic.Unlike standard duckweed (Lemna), Wolffia plants do not have roots and appear simply as tiny floating green spheres or oval seeds.The plant produces the world's smallest flower, which forms in a tiny depression on the plant's top surface.Because they are so small and have highly efficient asexual budding, they can easily cover a pond in dense mats before you ever notice an individual plant. Can be found across temperate and tropical regions of North, Central, and South America Correction: Ed Yong's An Immense World (UV, not Infrared)During the episode, Bill mentioned Ed Yong's phenomenal book, An Immense World, and noted that researchers are increasingly discovering how many animals can see in the infrared spectrum. His memory slipped slightly on this one! Yong actually discusses the growing scientific realization that many animals see in the ultraviolet (UV) spectrum, not infrared. (Though as you'll see below, dragonflies do have a few tricks up their sleeves on the other end of the spectrum). Gordon's Question: Infrared Vision & Dragonfly MatingBill's misremembering of what was in An Immense World was prompted by Gordon asking a fantastic question during the recording: Can dragonflies see in the infrared spectrum, and if they can, are they using it to navigate during migration?First, a quick clarification: when most of us hear “infrared,” we immediately picture thermal imaging — animals glowing in the dark, Predator vision, that whole thing. That is not what we're talking about here. Dragonflies do not appear to see heat signatures.What they may be able to see is near-infrared — light just beyond the deepest red wavelengths visible to humans. Near-infrared is not heat vision. It is more like an invisible extension of red.According to a recent study published in January 2026 by researchers in Osaka, Japan, some dragonfly species have visual pigments that are sensitive to extremely long red wavelengths, possibly reaching into the near-infrared edge of the spectrum. That alone is pretty wild. But the discovery also highlights a striking example of parallel evolution between insects and primates. Millions of years ago, the ancestors of humans and other primates evolved molecular changes that helped produce red-sensitive vision. This new research suggests that some dragonflies may have independently evolved a similar molecular tuning mechanism for detecting red light. However, while primate red vision operates within the visible spectrum, some dragonflies appear to have pushed that sensitivity even farther, toward the boundary between deep red and near-infrared.So what are they doing with this ability? Probably not navigating migration, at least as far as we know.The better-supported idea is that this long-wavelength vision helps dragonflies identify mates quickly in flight. Male and female dragonflies can reflect red and near-infrared light differently, especially against green vegetation. So for an animal making split-second decisions while zipping around at high speed, that extra visual contrast could be a big deal. So to answer Gordon's question, dragonflies may be seeing farther into the red/near-infrared edge of the spectrum than we can, but based on what researchers currently know, they're probably using that ability for rapid sex recognition, not long-distance navigation. It's more of a high-speed dragonfly dating filter than infrared GPS.The Missing Piece: Visual Cues and "Leading Lines" in MigrationOne big element Bill neglected to mention in covering how dragonfies navigate during migration is the VISUAL piece – that they also use what they're seeing! That is a crucial piece of the puzzle. Dragonflies are also extremely visual animals. Those huge compound eyes are not just for decoration. So, what they're seeing is likely a key piece in their migration toolbox. Migrating dragonflies are often observed moving along major landscape features: coastlines, mountain ridges, river valleys, and other long, continuous edges. Biologists sometimes refer to these kinds of features as leading lines, because they can help guide or funnel migrating animals across the landscape.That doesn't mean a dragonfly is looking down and thinking, “Ah yes, the Susquehanna River. I'll take this south.” But these landscape features can still matter in several ways.Coastlines can keep migrants from drifting too far over open water, which is risky for an insect that eventually needs to land, rest, and feed.Mountain ridges and long hillsides can create useful air currents and updrafts, allowing dragonflies to ride favorable winds and conserve energy.River corridors can provide both a visual pathway and good stopover habitat, with water, vegetation, and plenty of small flying insects to eat when they need to refuel.The overall migration story for dragonflies probably isn't “dragonflies have one magic compass.” It's more like they are combining a bunch of cues at once: the visual structure of the landscape below them, as well as the elements covered during the episode. Steve's Questions: Resident vs. Migratory Green Darners & The Thermal Genetic SwitchDuring the episode, Steve asked two really good questions about Common Green Darners: if some are migratory and some are resident, how do they know which group to mate with? And could temperature be the thing that nudges a young darner down one path or the other?The first answer is surprisingly simple: they probably don't know, and they probably don't care.For a long time, researchers assumed these groups were reproductively isolated, believing residents emerged and died before the migratory cohort reached adulthood, but modern research has overturned this idea. According to a comprehensive review by Michael L. May and John H. Matthews, adult flight periods absolutely overlap in mid-summer, and genetic testing reveals zero genetic differentiation between the groups. The entire continental population belongs to a single, randomly mating gene pool. So when a Common Green Darner is ready to mate, it is probably not checking whether the other darner is from the “resident” or “migratory” team. It is just mating with another mature Common Green Darner in the same airspace. Very romantic. Very dragonfly.Steve's second question gets at something even more interesting: what makes one generation migrate while another stays put?This is where temperature, day length, and seasonal timing seem to matter a lot. A Green Darner nymph developing in warm water during long summer days may be pushed toward faster development. That can produce adults that emerge, feed heavily, build up energy reserves, and migrate south in late summer or fall.But if nymphs are developing as temperatures drop and days get shorter, their development can slow down. Instead of rushing to become adults, they may overwinter as aquatic nymphs and emerge the following year. Those individuals can then become part of the resident breeding population in northern ponds.So Steve's instinct was basically right: environmental conditions appear to play a huge role in shaping whether a darner develops quickly and migrates, or slows down and overwinters.The only thing to be careful about is the phrase “genetic switch.” There probably are changes in gene expression involved. Temperature and day length can absolutely affect how insects develop, but in Common Green Darners, we should probably think of it less as a single switch being flipped and more as a whole developmental pathway being shaped by the environment.The short version: migratory and resident Green Darners are not separate species or rival dragonfly factions. They appear to be part of one big, mixed population whose life cycle can play out in different ways depending on timing, temperature, and local conditions.Sponsors and Ways to Support UsThank you to Always Wandering Art (Website and Etsy Shop) for providing the artwork for many of our episodes.Support us on Patreon.Works CitedHallworth, M. T., Marra, P. P., McFarland, K. P., Zahendra, S., & Studds, C. E. (2018). Tracking dragons: stable isotopes reveal the annual cycle of a long-distance migratory insect. Biology Letters, 14(12), 20180741. doi: 10.1098/rsbl.2018.0741.Hu, G., Lim, K. S., Horvitz, N., Clark, S. J., Reynolds, D. R., Sapir, N., & Chapman, J. W. (2016). Mass seasonal bioflows of high-flying insect migrants. Science, 354(6319), 1584–1587. doi: 10.1126/science.aah4379.Knight, S. M., Pitman, G. M., Flockhart, D. T. T., & Norris, D. R. (2019). Radio-tracking reveals how wind and temperature influence the pace of daytime insect migration. Biology Letters, 15(6), 20190327. doi: 10.1098/rsbl.2019.0327.Lancaster, L. T., Dudaniec, R. Y., Chauhan, P., Wellenreuther, M., Svensson, E. I., & Hansson, B. (2016). Gene expression under thermal stress varies across a geographic range expansion front. Molecular Ecology, 25(5), 1141–1156. doi: 10.1111/mec.13548.May, M. L. (2013). A critical overview of progress in studies of migration of dragonflies (Odonata: Anisoptera), with emphasis on North America. Journal of Insect Conservation, 17(1), 1–15.May, M. L., & Matthews, J. H. (2008). Migration in Odonata: a case study of Anax junius. In A. Córdoba-Aguilar (Ed.), Dragonflies and Damselflies: Model Organisms for Ecological and Evolutionary Research (pp. 63–77). Oxford University Press.Sato, R., Terakita, A., & Koyanagi, M. (2026). Dragonfly red opsins share a common tuning mechanism with mammalian red opsins and further enhancement of near-infrared sensitivity. Cellular and Molecular Life Sciences.Trottier, R. (1971). Effect of Temperature on the Life-Cycle of Anax junius (Odonata: Aeshnidae) in Canada. The Canadian Entomologist, 103(12), 1671–1683.Wikelski, M., Moskowitz, D., Adelman, J. S., Cochran, J., Wilcove, D. S., & May, M. L. (2006). Simple rules guide dragonfly migration. Biology Letters, 2(3), 325–329.Yong, E. (2022). An Immense World: How Animal Senses Reveal the Hidden Realms Around Us. Random House.

Today's tech giants are poised for a maturity shift over the coming years, transitioning from high growth companies into more established market leaders. Confluence Associate Market Strategist and Certified Business Economist Thomas Wash joins Phil Adler to explain why the technology companies of tomorrow may look like the utility companies of today.

☆現在下載中廣線上聽APP隨時收聽精彩節目還有經典好音樂！ https://fstry.pse.is/99xxwz —— 以上為 Firstory Podcast 廣告 —— 加入會員，支持節目： https://richlife.firstory.io/join留言告訴我你對這一集的想法： https://open.firstory.me/user/clh1qknlp0h0s01w286nq3i04/comments歡迎您用一杯咖啡支持我持續創作 : https://pay.soundon.fm/podcasts/a11a2120-4bc4-4fb2-813b-135bd96e5868「布姐的交誼廳。陪你聊人生聊職場」Line 社群https://reurl.cc/36NWEL(密碼：love)本集重點：演算法成了這個時代的神？ 演算法為了眼球經濟只推播極端的內容，導致中庸、平衡的聲音被忽略，進而引發大眾的進退兩難與情緒焦慮。瓦基的冒牌者症候群與創作瓶頸： 瓦基坦言在籌備新書時曾陷入「一言堂」的方法論泥淖、快樂程度極低，直到出版社編輯用挑戰性的對話協助他，才順利推進。萬用人生決策框架「審時度勢」：審： 拆解自己內心真正想要的是什麼，通常從「感受與體驗」出發。時： 評估自己與外在環境的生命週期（Life Cycle），不同階段（如新鮮人與退休期）有不同的冒險本錢。度： 精準度量自己獲得的好處、付出的代價與承擔的風險，避開非黑即白的成敗二分法。勢（試）： 除了觀察大環境趨勢，更重要的是採取微小的行動去「試試看」，從中獲得回饋。「你變了！」是稱讚還是批評？ 坦然接受人會隨著環境與學習而改變，手段與專案會變，但內心渴望的核心感受是不變的。每天一分鐘的「第三種看見」： 透過每天練習寫下一句感恩的話，刻意訓練大腦跳脫黑白對立，長出超越表面現象的情境智慧。來賓 瓦基（莊勝翔）一位嗜書成癡的愛書人，喜歡分享閱讀之後的心得和收穫，將書中所學加以活用，實踐在職場與生活當中。他是書評部落格「閱讀前哨站」和說書頻道「下一本讀什麼」的創辦人，從任職十年的台積電副理轉換跑道投身說書事業。夢想是將閱讀的美好傳遞到有需要的人的手上。著有《只工作、不上班的自主人生》。 閱讀前哨站｜readingoutpost.com下一本讀什麼｜readingoutpost.com/podcast

The industry is entering a new phase where packaging design must account for the entire product lifecycle, from material selection and manufacturing to end-of-life recovery and reuse. Paige Greenberg, sustainable packaging engineer at Plastic Ingenuity, joins From the Cold Corner to discuss more.

Chapters 00:00 Introduction and Personal Updates 01:19 Focus on Portfolio Size and Risk Tolerance 03:39 Understanding Sell-Through Rates and Acquisition Costs 06:29 Portfolio Management and Diversification Strategies 08:40 Market Strategies: Volume vs. Opportunistic Buying 11:07 Market Inefficiencies and Niche Opportunities 13:19 Escalating a Domain Portfolio: Systematic Approaches 15:20 The Lifecycle of Domain Portfolios and Subsets 18:28 Making Money and Portfolio Optimization 20:52 Number Strategies for Portfolio Growth and Reinvestment 24:19 Adapting to Market Cycles and Economic Conditions 27:16 Quarterly Portfolio Review and Data Analysis 31:23 Dealing with Small Portfolios and Randomness 34:58 Leveraging AI and Data Tools for Analysis 37:45 Using Spreadsheets and Data for Portfolio Planning 40:21 Scaling Strategies: Volume, Quality, and Market Trends 44:03 Long-Term Consistency and Portfolio Management 47:50 The Future of Domain Investing and Community Insights 01:47 The Role of Data and Knowledge in Domain Sales 04:37 Details of the Upcoming LTO Rollout and Its Benefits 09:12 Configurable Payment Terms and Down Payments 13:45 The Importance of Customization and Branding in Landers 18:06 Strategies for Encouraging Serious Buyer Engagement 22:57 Early Payoff Options and Flexibility in Payments 27:16 The Future of Marketplace Integration and Broker Networks 32:20 Balancing Profit, Default Rates, and Buyer Psychology 36:34 The Impact of Trust and Platform Credibility 41:17 Final Thoughts and Upcoming Developments Check out https://unstoppabledomains.com

In episode 294 of our SAP on Azure video podcast we talk about Software Development Life Cycle at Microsoft with AI. I have always been pretty impressed by the way how Microsoft pushes the way how to develop forward. Especially when we look at the SAP world Microsoft is actually quite a big customer with hundreds of internal ABAP developers. In the past we already talked about how we do Software Development Life Cycle at Microsoft, but obviously AI is also becoming more and more important. So for today I am really happy to have Barb, Ryan, Tom and Joseph joining us today to tell us more how we do AI Powered SDLC at Microsoft!Find all the links mentioned here: https://www.saponazurepodcast.de/episode294Reach out to us for any feedback / questions:* Goran Condric: https://www.linkedin.com/in/gorancondric/* Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #Copilot #ABAP #SDLC

By Doug Green “The best learning is actually to learn by doing.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Carlos Pereira, Cisco Fellow and Chief Architect, Customer Experience, about Cisco IQ and how Cisco is using AI, lifecycle intelligence and customer experience to help enterprises better understand, secure and future-proof their environments. Pereira says Cisco IQ reflects a broader shift in how customer experience is being delivered. At Cisco, CX is not treated as something that begins after a product is deployed. It spans the full lifecycle: land, adopt, expand and renew, with support embedded throughout. That lifecycle view is especially important because more than 95% of Cisco's business is indirect through partners, and more than half of Cisco's revenue is recurring. Cisco IQ, which became generally available in April, is designed to give customers visibility across the Cisco assets they own, including devices that may be approaching or past end of sale or end of support. Pereira notes that many Cisco products remain in production for years because they are reliable, but long-running environments can create risk if older software, unsupported assets or unpatched vulnerabilities remain in place. With Cisco IQ, customers can see more of their environment, understand lifecycle status, assess security exposure and receive AI-driven insights tied to their own deployments. Pereira says that visibility becomes more important as AI accelerates the speed of both operations and threats. “The speed has changed because the adversary is now faster than what you think your ability to move,” Pereira says. The podcast also looks at how Cisco IQ fits with Cisco Cloud Control, announced at Cisco Live. Pereira explains that Cisco Cloud Control brings product operations together through an agentic interface, while Cisco IQ focuses on lifecycle visibility, entitlement, assets, security assessments, performance and operational insight. Together, the two offerings reflect Cisco's effort to combine AI-driven operations with full lifecycle intelligence. A major theme of the conversation is future-proofing the enterprise. Pereira says Cisco IQ can help customers identify assets that may pose security or operational risks, including devices past last day of support or software exposed to newly discovered vulnerabilities. Cisco IQ can also support assessments around emerging concerns such as quantum readiness, including hardware, software and cryptographic materials. Pereira also discusses why Cisco designed Cisco IQ to support multiple deployment models from the beginning. Cisco IQ can run as SaaS, on-premises tethered, or on-premises air-gapped. That matters for customers with government, sovereignty, security or isolation requirements who still need AI-driven insight without compromising deployment constraints. For partners, Cisco IQ creates a new way to engage customers around lifecycle management, security posture, renewals and modernization. Instead of waiting for problems to emerge, partners can use Cisco IQ to help customers understand what they have, where risks exist and how to prioritize action. Looking ahead, Pereira says the second half of 2026 will be less about AI hype and more about applying AI to business workflows with measurable ROI. In areas such as security and identity operations, the need for speed, visibility and lifecycle intelligence will only increase. Pereira encourages Cisco customers with support entitlements to begin using Cisco IQ directly at iq.cisco.com. Because Cisco IQ includes personalized, AI-driven documentation and insights, he says the best way to understand the platform is to self-onboard and begin using it. Learn more at cisco.com Cisco IQ: iq.cisco.com  

In this episode, we're joined by Rafael Miñana Prieto, Senior Manager of Operations for Laboratory Services at CTI, who oversees global biorepository operations across the U.S. and Europe. He walks through the full specimen lifecycle—from kit design and sample collection to storage, retrieval, and delivery—and explains why biological specimens are the foundation of clinical research. Rafael shares how consistent, end-to-end management, global standardization, and integrated laboratory services help protect data integrity, reduce risk, and improve outcomes across trials. He also highlights how small upstream decisions can impact downstream results, along with the operational challenges and evolving trends shaping modern biorepository services. 01:26 Rafael's role and the end-to-end specimen lifecycle02:15 Why sample integrity underpins clinical evidence and patient impact03:26 Lifecycle complexity and global logistics challenges04:16 Standardization, monitoring, and risk reduction strategies05:32 Coordinating retrieval and global shipment06:31 Upstream decisions (kit design, instructions) shaping outcomes07:23 Integrated lab services and reduced fragmentation07:59 Scaling challenges and pre-analytical gaps09:24 Key trends: complexity, globalization, and data-driven operations10:07 CAP accreditation and delivering consistent global standards

VulnCheck's Patrick Garrity on the NVD collapse, the first real AI disclosure wave, and why remediation, not finding bugs, is the bottleneck.DescriptionVulnerability management spent years as the chore everyone dreaded, and now it is one of the hottest topics in security because attackers made exploitation the number one way in. Patrick Garrity of VulnCheck rejoins the show to separate what is real from what is marketing. We get into the honest state of the NIST National Vulnerability Database after CISA pulled its funding, the new AI executive order that wants a clearinghouse for AI-discovered vulnerabilities, the first measurable wave of AI-assisted disclosures, and Patrick's audit of Anthropic's Glasswing ledger. We also dig into why cheap AI discovery makes the remediation bottleneck worse, how AI is raising the security poverty line, and whether the 90-day disclosure model still holds.Key takeawaysVulnerability management is hot again because attackers made it the top way in. As Patrick puts it, attention flows to wherever the attacker goes, and right now that is exploitation.The NIST NVD breakdown was worse than a backlog. A recent report confirmed CISA had stopped funding the NVD and NIST lost about half its funding, with no real plan to clear the backlog, which quietly hurts every defender who relies on enriched CVE data.A new AI executive order wants a clearinghouse for AI-discovered vulnerabilities, reportedly under Treasury. Patrick's reaction is that we already have a vulnerability database, the program is optional, and it may turn into a marketing race more than a coordination win.The first measurable AI disclosure wave is real. CVE volumes are up 563 percent for Chrome and GitHub advisories up 470 percent year to date, and Patrick separated genuine AI-assisted discovery from AI slop and from bugs that merely live in AI software by correlating researchers, domains, and email addresses across multiple advisory sources.Patrick audited Anthropic's Glasswing ledger and found the transparency lacking. He had around 80 vulnerabilities in his own database while the public ledger listed 27, several items had blown past their own 90-day disclosure window, and the ledger had not been updated in two weeks.Finding vulnerabilities is not the bottleneck, remediation is. AI makes discovery cheap, but the coordinated disclosure and fix process takes enormous human effort, and the median time to remediate even known exploited bugs is still measured in weeks.Exploitation looks like it is sustaining rather than surging. CISA KEV and VulnCheck KEV are tracking similar year-over-year volumes, partly because attackers already have more than enough to target and partly because you can only count the exploitation you can actually detect.AI is raising the security poverty line, at least for now. Token costs and access-restricted tools concentrate the most powerful discovery capabilities among well-funded teams, while smaller organizations lack the expertise to turn open-weight models into working vulnerability harnesses.The economics are circular. AI drives the surge in findings and attacker velocity, and AI is then sold as the fix, so teams pay to surface the problem and pay again to remediate it, all on consumption-based pricing against finite budgets.The 90-day disclosure norm mostly holds, though it may tighten. VulnCheck runs a strict 120-day policy with no exceptions and averages 45 to 48 days to fix and disclose, and for open source the fixing commit often makes the flaw public anyway.

Attorney Todd Marquardt brings you insightful topics every Saturday morning, but he's not stopping there! Join Todd every Sunday afternoon at 4:30pm for a special bonus segment! He addresses unique topics in more detail with a professional perspective. www.TalkLawRadio.com So what are you waiting for? Discover your hidden legal blind spots by listening to all the impactful Talk Law content every weekend!See omnystudio.com/listener for privacy information.

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Cristina Cordova, Chief Operating Officer at Linear, the product development system built for teams and agents. Linear raised $82 million in a Series C round in June 2025 at a $1.25 billion valuation. The company has been profitable since 2021, and serves over 20,000 paid business customers, from seed-stage startups to Fortune 100 enterprises, with a team of just 140 people. Before Linear, Cristina joined Stripe as one of its first employees, and led Platform and Partnerships at Notion.What you'll learn:Why keeping headcount intentionally lean is a strategic advantageReplacing traditional interviews with paid two to five-day projectsWhy PMs are the fastest-growing power users of agentic toolsKey takeaways:A small team is not a small business. Revenue, customers, and growth rate matter more than headcount.If you fully delegate your AI thinking, you lose your native understanding of how these products actually workAgentic workflows are now the default, not a feature. The companies that treat them that way will pull ahead.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Cristina CordovaSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

Send us Fan MailBusiness transformation is often discussed through the lens of technology, AI, automation, and digital initiatives. But after attending the CLM Summit, one theme surfaced repeatedly beneath the technology conversations: maintaining visibility and coordination is becoming increasingly difficult as complexity grows.In this episode, host Brittany Wilkins shares key observations from the summit and explore why connected systems, trusted data, lifecycle alignment, and cross-functional coordination matter more than ever. We discuss the role AI plays as an amplifier, the risks of disconnected systems and tribal knowledge, and why organizations must think beyond technology implementation when navigating transformation.Topics include:• AI and operational foundations• Product complexity and customization• Connected systems and data visibility• Lifecycle alignment across business functions• Human barriers to transformation• Why coordination is becoming a competitive advantageWhether you work in project management, operations, manufacturing, digital transformation, or organizational leadership, this episode offers practical insights into what it takes to maintain clarity and control in an increasingly interconnected business environment.The promise does not come without the process. If you are ready to strengthen the skills that separate project managers from project leaders, explore the Power Skills Accelerator, a course designed to help professionals master the leadership capabilities needed to thrive in complex project environments.Enroll in the Power Skills Acceleratorhttps://www.developpowerskills.com/sales-pageIf you want to assess where execution may be breaking down in your current projects, take the Execution Intelligence Diagnostic to identify gaps across leadership, decision making, and team alignment.Start the diagnostichttps://executionintelligence.scoreapp.com/Join the waitlist for Brittany Wilkins' upcoming book, Execution Intelligence, focused on the mindset, systems, and discipline required to turn strategy into measurable results.Join the book waitlisthttps://makowayconsulting.scoreapp.comTo learn more about how organizations eliminate execution friction and turn strategy into measurable results, visit Makoway Consulting.https://www.makowayconsulting.com Support the showEvery Organization Pays An Execution Tax. Discover Yours:https://executionintelligence.scoreapp.com

Jason Valentino is Head of Software Engineering Strategy at BNY, where he oversees developer tooling, DevEx, platform workflows, and software delivery governance across more than 8,000 engineers.In this session from DX Annual, Jason shares how BNY moved beyond AI coding assistants to rethink the entire software delivery lifecycle. He explains how his team identified bottlenecks across the SDLC, prioritized automation opportunities, and applied AI to planning, peer review, testing, change management, and compliance workflows.Jason also discusses what it takes to scale AI inside a highly regulated enterprise, including rewriting policies, partnering closely with risk and audit teams, and building a culture that encourages experimentation and rapid sharing of ideas.Where to find Jason Valentino:• LinkedIn: https://www.linkedin.com/in/jasonvalentinoIn this episode, we cover:(00:00) Intro (01:20) Early results from AI coding tools at BNY(04:08) The 3X stress test: What breaks if engineering throughput triples?(06:56) Three ways to apply AI across the SDLC: IDE and CLI tools(08:07) Using autonomous AI agents for repetitive engineering tasks(09:16) Embedding AI directly into SDLC workflows(12:27) Why leaders should encourage experimentation and “start saying yes”(15:00) Q&A: How platform and productivity teams are evolving to support AI(16:33) Q&A: Rewriting policies and controls for AI-assisted software delivery(17:52) Q&A: How AI is affecting software quality and test ownership(19:00) Q&A: What Jason is most proud of: Practical examples of AI across the SDLC(20:30) Q&A: How BNY handles duplicated work across AI initiatives(22:30) Q&A: How BNY uses AI to support regulatory and compliance work(23:30) Q&A: Automating code reviews and change tickets(25:55) Q&A: How increased AI-driven throughput is affecting on-call and reliability(27:11) Q&A: How BNY works with risk and audit partners to move quickly with AI(29:01) Q&A: How BNY scales successful AI use cases across the organization(30:42) Q&A: What Jason is most proud of after BNY's busiest year with AIReferenced:• AI-assisted engineering: Q4 impact report• Measuring AI code assistants and agents• Measuring developer productivity with the DX Core 4• Windsurf• Claude Code by Anthropic | AI Coding Agent, Terminal, IDE• Codex | AI Coding Agent

In this episode of the Brilliance Security Magazine Podcast, host Steven Bowcut speaks with Abhay Kulkarni, Co-founder and CEO of WideField Security, about the rapidly changing identity security landscape.Abhay explains why identity has become the linchpin of modern cybersecurity, especially as enterprises rely more heavily on SaaS, cloud platforms, API connections, non-human identities, and AI agents. The conversation explores why traditional IAM, SSO, MFA, and access reviews are no longer enough, and why security teams must understand what identities are actually doing after authentication.Steven and Abhay also discuss post-authentication visibility, session tracking, behavioral context, identity lifecycle security, and the challenge of securing increasingly autonomous AI agents without slowing down innovation.

Industrial Talk is onsite at SMRP 2025 and talking to Tara Holwegner, Program Leader at Life Cycle Engineering about "Training is key to reliability success". Overview Scott Mackenzie from Industrial Talk interviews Tara Holwegner at the SMRP conference, highlighting IRISS electrical maintenance safety technologies and Lifecycle Engineering's 20-year history in training industrial professionals. Tara discusses the importance of upskilling, reskilling, and training, noting that 25% of respondents to her poll prioritize these issues. She emphasizes the need for a balanced approach to people, process, and technology. Tara also promotes Lifecycle Engineering's Smarter Playbook, which offers resources in five languages and six work streams, aiming to standardize best practices in maintenance and reliability. Outline Introduction and Welcome to Industrial Talk Podcast Scott Mackenzie introduces himself and the Industrial Talk podcast, emphasizing its focus on industry professionals and innovations.Scott welcomes listeners to the podcast, highlighting the importance of celebrating industry professionals.Scott mentions being at the SMRP conference and introduces Tara Holwegner, a recurring guest on the podcast.Tara expresses her excitement about being back at the SMRP conference and shares her background with Lifecycle Engineering. Tara's Background and Lifecycle Engineering Tara explains her role at Lifecycle Engineering, an engineering, maintenance, and reliability consulting firm.She mentions the Lifecycle Institute, which has been training industrial professionals for 20 years.Tara shares her certifications: CMRP, CRO, PMP, and her role as a certified instructional designer.She discusses the importance of building products and services to help professionals reach their full potential in the industry. Challenges and Focus Areas for 2025 Tara shares the results of a poll she conducted about the challenges and struggles professionals will face in the new year.The poll results indicate that upskilling, reskilling, or training is a significant concern for 25% of respondents.Standard work and process optimization, technology additions, and CMMS data integrity are also key areas of focus.Scott and Tara discuss the importance of addressing these challenges to improve reliability and efficiency in the industry. Importance of People, Process, and Technology Scott and Tara emphasize the need to focus on people, process, and technology to achieve reliable operations.Tara highlights the importance of getting the people and processes right before implementing technology.They discuss the role of technology in attracting new talent and the need for public-private partnerships to build interest in the industry.Scott and Tara agree on the importance of storytelling to inspire the next generation of industry professionals. Lifecycle Engineering's Smarter Playbook Tara introduces the Lifecycle Engineering Smarter Playbook, which provides best practices for maintenance and reliability.The playbook includes resources in five languages and covers six work streams with over 400 online resources.Tara mentions the expansion of the playbook to include eight online courses by the end of the year.She explains the playbook's role in helping organizations understand the value of reliable operations and standard work. Operational Readiness and Capital Projects Tara discusses the importance of operational readiness, especially for organizations undertaking large-scale capital projects.She explains the need for designing reliability into new assets and having maintenance plans for the life of the asset.Tara highlights the role of Lifecycle Engineering in helping organizations achieve operational readiness.Scott and Tara discuss the challenges of sustaining reliability and the need for active leadership and commitment. The Role of Leadership and Collaboration Scott and Tara discuss the challenges of leadership churn and the need for consistent commitment to reliability.They emphasize the importance of collaboration and finding trusted advisors to help organizations succeed.Tara shares her experience of Lifecycle Engineering's commitment to helping clients even after projects are completed.They agree on the need for a broad understanding of reliability and maintenance across different roles within an organization. The Importance of Education and Training Tara stresses the importance of continuous education and training for professionals in the industry.She highlights the increased demand for certification programs and the need for organizations to invest in their employees' growth.Scott and Tara discuss the role of technology in enhancing training and education.They emphasize the need for a comprehensive approach to training, covering all levels of an organization. Conclusion and Call to Action Scott and Tara wrap up the conversation by emphasizing the importance of the SMRP conference for industry professionals.They encourage listeners to connect with Tara and other industry experts to learn and collaborate.Scott highlights the role of Industrial Talk in helping organizations tell their stories and succeed.They conclude by encouraging listeners to be bold, brave, and daring in their approach to industry challenges. If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation. Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2026. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy! TARA HOLWEGNER'S CONTACT INFORMATION: Personal LinkedIn: https://www.linkedin.com/in/taradenton/ Company LinkedIn:  https://www.linkedin.com/company/life-cycle-engineering/posts/?feedView=all Company Website: https://www.lce.com/ PODCAST VIDEO: https://youtu.be/VAmsGWFdNQU THE STRATEGIC REASON "WHY YOU NEED TO PODCAST": OTHER GREAT INDUSTRIAL RESOURCES: NEOM: https://www.neom.com/en-us Hexagon: https://hexagon.com/ Arduino: https://www.arduino.cc/ Fictiv: https://www.fictiv.com/ Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/ Industrial Academy: https://industrialtalk.com/industrial-academy/ Industrial Dojo: https://industrialtalk.com/industrial_dojo/ We the 15: https://www.wethe15.org/ YOUR INDUSTRIAL DIGITAL TOOLBOX: LifterLMS: Get One Month Free for $1 – https://lifterlms.com/ Active Campaign: Active Campaign Link Social Jukebox: https://www.socialjukebox.com/ Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader): Business Beatitude the Book Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? 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Episode 395 (Rebroadcast of EP 6) We talk about the stages from thinking you need a gun to “I don't need any more guns.” We emphasize how new gun owners feel - and how you can help them. You'll learn something new on this show.   Our website is www.prepping2-0.com. On whatever platform you're listening on, subscribe, rate, review, and comment.    Patreon supporters keep this show going and get exclusive stuff, like the After Show.

Episode 395 (Rebroadcast of EP 6) We talk about the stages from thinking you need a gun to “I don't need any more guns.” We emphasize how new gun owners feel - and how you can help them. You'll learn something new on this show. Our website is www.prepping2-0.com. On whatever platform you're listening on, subscribe, rate, review, and comment. Patreon supporters keep this show going and get exclusive stuff, like the After Show.

The fashion and textiles industry accounts for up to 10% of global greenhouse gas emissions, consumes 93 billion cubic meters of water annually, and generates 92 million tons of waste each year — yet only 1% of textiles are recycled back into new products. In this episode, we sit down with three leading experts to unpack one of the most resource-intensive industries on the planet and explore what a genuinely circular textiles sector could look like.We're joined by Mark Sumner, Head of Textiles at WRAP; Sarah Morley, Strategic Engagement Manager at WRAP Americas; and Linda Breggin, Senior Attorney at the Environmental Law Institute. Together, we trace the full lifecycle of a garment from field to landfill, examine fast fashion as a consumer behavior rather than just a retail phenomenon, and explore how circular design, durability standards, voluntary industry agreements, and policy intervention are beginning to reshape the system.Whether you're working in sustainability, environmental policy, waste reduction, or supply chain management, this episode offers both the big-picture framework and the on-the-ground insights you need to understand where the textiles industry is headed — and what it will take to get there. See WRAP's website for more information.Introduction: The Environmental Footprint of the Fashion and Textiles Industry (02:37)Lifecycle of a Garment: Hotspots, Impacts, and Intervention Points (03:47)Circular Design in Practice: The Pillars of a More Sustainable Textiles Industry (11:05)Changing Consumer Behavior (21:34)The UK Textiles Pact and the Durability Accelerator: Industry Collaboration in Action (29:49)WRAP's US Expansion: Landscape Review, Gaps, and the Road Ahead (45:14)The Role of State and Local Governments (48:33)Concluding Thoughts (54:43) ★ Support this podcast ★

ICH Q13 explains how pharmaceutical companies can apply batch definition, traceability, control strategy, validation, release, and lifecycle management to continuous manufacturing of drug substances and drug products.Learn more:https://www.letscombinate.comSchedule a call:https://calendly.com/letscombinate/let-s-combinate-intro-sessionIn this episode, Subhi Saadeh explains ICH Q13 and the key concepts behind continuous manufacturing in pharmaceutical manufacturing.The core question behind ICH Q13 is simple:How do you apply traditional quality concepts like batch definition, traceability, control strategy, validation, release, and lifecycle management when the manufacturing process does not stop?This episode covers the major Q13 concepts, including the difference between batch and continuous manufacturing, how batches can be defined in continuous manufacturing, the three continuous manufacturing models described in the guideline, residence time distribution (RTD), disturbance handling, control strategy, validation, release, and lifecycle management.Subhi also discusses why batches still matter in continuous manufacturing. Even when a process operates as a continuous flow, batches remain essential for traceability, investigations, trending, stability programs, release decisions, and recalls.Key topics covered:• What ICH Q13 is and why it matters• Batch manufacturing versus continuous manufacturing• Why manufacturers still need batch definitions• Time-based, mass-based, and campaign-based batch definitions• The three continuous manufacturing models described in ICH Q13• Residence Time Distribution (RTD)• Why RTD matters for traceability and investigations• Disturbance impact assessment and material disposition• Control strategy considerations for startup, steady-state operation, and disturbances• The role of Process Analytical Technology (PAT)• Disturbance management using magnitude, duration, and frequency• Validation considerations for continuous manufacturing• Release strategies supported by process understanding and monitoring• Lifecycle management and risk-based change controlTimestamps:00:00 ICH Q13 Overview00:48 Why Batches Matter01:21 Batch vs. Continuous Manufacturing01:59 Defining Batches02:48 Three Continuous Manufacturing Models03:54 Residence Time Distribution (RTD)06:05 Control Strategy Basics07:19 Disturbance Handling08:19 Validation, Release, and Lifecycle Management10:16 Wrap-Up and Next StepsSource referenced in this episode:ICH Q13: Continuous Manufacturing of Drug Substances and Drug ProductsFinal version adopted 16 November 2022https://database.ich.org/sites/default/files/ICH_Q13_Step4_Guideline_2022_1116.pdfReferences to ICH Q13 guideline and are included for educational commentary and discussion.Questions or feedback?

Is your business — the very thing you built to have more freedom — consuming all of your wealth, energy, and identity? While early-stage entrepreneurs can easily lose the flexibility they sought in the endless pursuit of "the next level," late-career business owners face their own strange contradictions. Everything looks great on paper, but personally, the thought of stepping away is both exciting and disorienting. Successful exits aren't just about creating bigger piles of money or boundless free time.  Regardless of the phase you're in today, successful entrepreneurship is about addressing the complexity of planning a new life and identity, redefining structure, connection, and meaning. In what ways are you investing in your future today to make your next phase feel more meaningful, not just financially secure?  SK Wealth Partner Mac Richards and CEO Jason Archambault walk through the lifecycle of a business owner — the emotional, identity-driven, lumpy, non-linear experience — from laying the foundation and scaling to the eventual exit. Listen as they explore the hidden tensions most business owners carry, like "Am I building personal wealth or just a bigger company at an unsustainable pace?" and "If I don't have my business, who am I?" Don't forget to subscribe to be the first to hear new episodes.

In this episode we invite you to the recording of our first community episode on June 24th at Leaven Community Center across from Alberta Park in Portland.We also discuss our disaster bonded friendship, shared mistakes and our ideas about the long and short term impact of things done imperfectly.

In this episode of Future Focused: Sophisticated Estate Planning, host Michael Clear welcomes Kenley Stark, Counsel in the Private Client Services Department at Wiggin and Dana, for an in-depth conversation about the complex lifecycle of art ownership. Together, they delve into the many stages collectors face—from the initial acquisition to the eventual sale or transfer—revealing how each step brings its own set of complex legal, financial, and logistical challenges that go far beyond the simple act of buying art. Michael and Kenley emphasize the necessity of thoroughly reviewing sale documentation to safeguard title, ensure authenticity, and understand risk exposure. They also discuss the critical roles of art advisors, the complexities of physically taking possession of art, and why securing the right insurance and storage solutions is essential for protecting both the artwork and the owner's investment.

In this episode Ed interviews Dr. David Shapiro-Ilan of the USDA-ARS. They discuss the work of David's lab using entomopathogenic nematodes as a form of biocontrol. Additional Resources https://www.ars.usda.gov/research/publications/publication/?seqNo115=411611   Time Stamps 00:00 Introduction to Entomopathogenic Nematodes 03:21 Life Cycle and Mechanism of Action 06:19 Host Specificity and Target Insects 09:15 Applications in Agriculture 12:04 Production and Formulation of Nematodes 14:55 Cost and Economic Considerations 17:37 Future of Entomopathogenic Nematodes 20:37 Wrap-Up and Final Thoughts 28:53 outro with logo Zaworski, E. (Host) and Shapiro-Ilan, D. (Interviewee). S5:E9 (Podcast). Nematode Allies: Exploring Entomopathogenic Nematodes. 5/27/2026. In I See Dead Plants. Crop Protection Network.   Transcript

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the critical definition and requirements for navigating Enterprise AI. You’ll learn how to distinguish between consumer-grade tools and the strict standards required in regulated industries. You’ll discover the twenty essential pillars for building a secure and compliant AI strategy for your organization. You’ll understand why rigorous vendor scrutiny matters as much for software as it does for human talent. You’ll gain clarity on the governance frameworks necessary to prevent data leaks and legal vulnerabilities in your enterprise. 00:00 – Introduction 03:15 – Defining Enterprise AI vs. SMB AI 07:45 – The role of Microsoft Copilot in regulated environments 12:20 – The 20 components of Enterprise AI readiness 18:10 – Challenges in organizational adoption and change management 22:30 – Security and data privacy as the foundation 27:00 – Call to action Watch this episode to master the complex landscape of regulated AI and safeguard your company’s future. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-enterprise-ai-101.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, we are talking about Enterprise AI 101. I am in the midst of a series in the Trust Insights newsletter, which you can get at TrustInsights.ai/newsletter. Part one was last week on seven different aspects of enterprise AI. But Katie, you said it would probably be helpful to level set what enterprise AI is and how it differs from SMB AI, mid-market AI, consumer AI, and so on. Katie Robbert: It is interesting because I feel like every time we jump on to record a podcast, there is a whole new set of vocabulary that I need to get caught up with. We need to make sure that everyone else knows what we are talking about because there is nothing worse than listening to a podcast or reading an article and having no idea what the author is talking about because they are introducing a concept but not really explaining it. I wanted to take this episode to talk about what enterprise AI is. Since you and I have not defined it, I am going to take my best guess at what enterprise AI is using some logic and deduction. I could be wrong, and that is why I think it is worth covering. From my perspective, if I had to put a definition to it, I am assuming enterprise AI is the type of AI implementation that occurs at an enterprise-size company. That sounds overly simplistic, but the bigger the organization, the more red tape, the more politics, the more departments, the more stakeholders, and the more governance there is. There are a lot more complications versus a small business like we are, where we can just decide one day, “Hey, I am going to start using this tool.” There are no real hurdles to go through. Then you have those mid-sized companies where you start to introduce some of those hurdles. You might need to work with your IT team to make sure that everything is in compliance. You might need to make sure that you have a place to host these new pieces of software, and that is not something that the marketing team is necessarily responsible for. Then you get to the enterprise-size companies where everything is completely siloed. Even in the best enterprise-sized companies, you are going to run into these silos. Because no one person is responsible for everything, you typically have multiple CEOs. Depending on what part of the country you are in, you might have a board for every different division of the company. If you are a Procter & Gamble and you have hundreds of product lines underneath, each of those is their own individual business. Each of those businesses are not necessarily talking to each other or sharing resources. That is my logical guess at what enterprise AI is. Christopher S. Penn: That is what I started with until I started doing the research into it. I realized that is not what it is. The generally accepted definition is AI within any commercially regulated entity. I realized as I was going through the research that commercially regulated means you have external regulation imposed on the company. It might be a 50-person company, but if they work in HIPAA or FINRA, they have to behave in highly regulated ways. Whether you are publicly traded or, for example, colleges that have to adhere to FFIEC rules and FERPA rules, enterprise AI is about operating AI—whether classical or generative—in a commercially regulated environment where you have externally mandated requirements that you must meet. Your definition for small business stuff makes total sense in that environment because Trust Insights is not a regulated company. However, when we work with our healthcare clients, we have to behave as though we are an enterprise company because we have to conform to their requirements. Katie Robbert: I am glad we are talking about this because the terminology is confusing; when you think of an enterprise company, you are not thinking of a commercially regulated company. I have to wonder why it is not called commercially regulated AI versus non-commercially regulated AI. It is a mouthful and a little bit harder to remember, but it is more descriptive and more accurate. I think like me, a lot of people are going to get confused about what enterprise AI actually is. Christopher S. Penn: A lot of this is because our background is in marketing, so we use the term enterprise to just mean a big company. If we want to market to enterprise companies, we are not marketing to a 50-person firm; we are marketing to a 50,000-person firm. In a lot of CRM software, the dividing line is typically 10,000 employees or 100 million in revenue. This is especially relevant because you see a lot of AI companies like Anthropic and OpenAI in a fight with Microsoft to try and gain a foothold into those enterprises. Microsoft, with their Copilot offering, has dominance by the very fact that their legacy Office 365 stuff is approved in those regulated environments. Katie Robbert: It is ironic because we spent so much time admittedly dismissing Microsoft’s Copilot as the less than version of generative AI, and now Microsoft is getting the last laugh on everyone. They are saying, “You have to use me because I have already been approved by IT and governance, and good luck.” You are stuck with whatever I decide to give you. If I were Microsoft, I would be petty and say, “You guys spent way too much time dismissing me and calling me inferior, so too bad.” Christopher S. Penn: A lot of that, as we have talked about many times on stage, is that the reason Copilot has fewer capabilities than other systems is specifically because of the regulated environment. It is trivial for Google to foist something on consumers and say, “Now we are going to read all your Gmail.” That does not fly in a regulated industry. Katie Robbert: That understanding is really helpful to the people who are saddled with Microsoft Copilot because we hear complaints about why they cannot use other shiny objects. If you are in a 50,000-person company and you weren’t there when the regulatory standards were decided upon, you are sitting there wondering why you cannot use Gemini to generate ad headlines. Then you do it on the side and get in trouble because there is no clear documentation saying why you have to use Copilot and nothing else. What we are hearing is that employees in companies required to use Microsoft Copilot are using other models on the side. That information is still getting filtered into the organization, and it is a huge governance problem. Christopher S. Penn: Completely. In enterprise AI, there are 20 different components to being ready. I derived this from the US federal government's NIST AI regulations and the EU AI Act, which is the gold standard. Katie Robbert: I want to see if you can get all 20. Christopher S. Penn: One, Strategy and Operating Model; two, Governance Policy and the AI Council; three, Legal, Regulatory, and Compliance. Katie Robbert: Are you reading this off a screen? Christopher S. Penn: I am 100% reading this off the Trust Insights Enterprise AI Landscape Field Handbook. Katie Robbert: Fine, continue. Christopher S. Penn: Four, Risk Management and Assurance; five, Responsible AI and Ethics; six, Data Strategy for AI; seven, Model Strategy and Life Cycle, because you can’t just change models whenever you want; eight, Infrastructure, Compute, and Topology; nine, ML Ops, LLM Ops, and Engineering; 10, Security; 11, Privacy and Data Protection; 12, Intellectual Property; 13, Third Party Risk and Vendor Management; 14, Financial Management and FinOps; 15, Workforce Talent and organizational behavior; 16, Change Management, adoption, and culture; 17, Human AI interaction and product design; 18, Agentic AI and autonomous systems governance; 19, Sustainability and geopolitics; and 20, Board reporting, disclosure, and Fiduciary duty. Katie Robbert: I just heard a whole lot of new job opportunities listed. So, if someone were working in a regulated industry like pharma, these are the 20 things they would need to be aware of before evaluating generative AI. It is interesting that organizational behavior and change management are part of it. You would think the regulations would be more technical versus human, but I am surprised that is part of it. Christopher S. Penn: It makes sense because in order for any AI to succeed in an enterprise with 50,000 or 300,000 employees, you have to prioritize change management. Organizational behavior cannot be an add-on; they have to be baked into what you do from the beginning, otherwise your initiative is going nowhere. Katie Robbert: I don’t disagree, but the typical way that works in a large organization is top-down. They make a decision, and you walk in the next day to find it has automatically updated your computer settings. Now you can no longer use a web browser search; you have to use Microsoft Copilot. That is their version of change management, but it is really just a dictatorship from above. I am interested in future episodes to explore what that should look like in a regulatory environment. Christopher S. Penn: We have known for two years that adoption is the hardest part. Deployment is easy compared to adoption. You can put Copilot on someone's desk, but they may not use it even if you tell them they have to. It comes back to how you get them to see the benefits. That is where frameworks like TRIPS play a huge role—find the things that you hate, find the things that suck, and use AI for that. Get that one thing off your plate. Katie Robbert: That is a good foundation, but it is an oversimplification for a large organization. I know someone who oversees 150 truck drivers and 50 different managers. The layers are so deep. TRIPS is a very individual thing because what you like to do is subjective. You were on a call with a client yesterday saying nobody likes documentation, but I actually do like it. My scoring would look different than yours. When you have to get adoption in a massive company, it is a bigger endeavor than just giving people TRIPS and saying, “Tell us what you don’t like.” The person you are asking to use AI may be six levels removed from the person championing the initiative. Christopher S. Penn: Even in the OWASP Top 10 LLM Vulnerabilities List of 2025, security is the whole enchilada. Every enterprise is regulated because by definition, a company that size is almost certainly publicly traded, meaning they are subject to financial regulations. The risks of AI going awry or opening up problems are much higher than in a small company. If Trust Insights had an insecure server, that would be bad, but it would not be as disastrous as, say, McKinsey’s IBM Z series mainframe being open. Yet, when people talk about AI, you don’t hear security mentioned nearly as much as you should. Katie Robbert: It is true. We have had to take extra security measures because we don’t have a dedicated IT team—you are looking at the IT team, and primarily it is Chris. We don’t have any wiggle room to set things up haphazardly. We have to do it right from the start. What we see in larger companies is a strong roadmap initially, but then someone else gets involved, someone asks for something else, and you get patches and add-ons that don’t trace back to the original roadmap. By the end, you are wondering what the original goal was. The bigger the organization gets, the harder it is to maintain control. It becomes a snowball effect. Christopher S. Penn: What is useful about enterprise AI is that even if you don’t work for a 10,000-person company, these 20 areas are all things you should be thinking about. Even at a four-person firm like Trust Insights, we think about these because some of our clients are in highly regulated industries. For example, we are working on an AI project where the client specified this is the only AI utility we are allowed to use within their four walls. Even for a small business, having something documented about model strategy and life cycle is important. As of the day we are recording this, Google Gemini 3.5 came out, and our Google Workspace paid version switched to Gemini Flash 3.5. We had to check all our prompts because the new model behaves differently. Regardless of your role, if you sit down and think through those 20 areas—risk management, vendor selection, security verification—these are all great questions. Katie Robbert: There is a good starting place for this. You can find our downloads at TrustInsights.ai/StrategicToolkit. There is also a free version at TrustInsights.ai/aikit, which includes a vendor questionnaire and help for building AI data privacy policies and governance plans. We have already templated these things out. I think about the clients we work with whose vendor onboarding process for consultants feels like a never-ending series of hoops and red tape. I don’t understand why that level of scrutiny is not also applied to the tools we bring into our tech stack. We are renting space in those tools and freely giving them our data. Those companies now have our data and will use it for their own benefit. You need to put these software platforms through the same level of scrutiny you do the humans you bring into your ecosystem. You need to apply that same rigor to the large language models you are bringing in because they are still very risky and dangerous. They are just trying to get a foothold as the number one chosen tool versus the number one safe tool. Christopher S. Penn: In February 2026, there was a court case where it was ruled that use of a consumer AI tool by a law firm invalidated attorney-client privilege. The judge ruled that this is no longer privileged information. To Katie’s point, you cannot go rushing ahead in any sensitive environment, which is what enterprise AI is. You have to be doing your homework. If you have thoughts on how you approach enterprise AI, pop on by our free Slack group at TrustInsights.ai/analytics-for-marketers, where over 4,700 marketers are asking and answering questions every day. Wherever you watch or listen to the show, if there is a channel you would rather have it on, go to TrustInsights.ai/tipodcast. Thanks for tuning in; we will talk to you on the next one. Katie Robbert: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Our services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology, Martech selection and implementation, and high-level strategic consulting. Encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama, Trust Insights provides fractional team members such as a CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights podcast, the Inbox Insights newsletter, the So What? livestream webinars, and keynote speaking. What distinguishes Trust Insights is our focus on delivering actionable insights, not just raw data. We are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet we excel at explaining complex concepts clearly through compelling narratives and data storytelling. This commitment to clarity and accessibility extends to our educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you are a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

What happens after your garden is established? In this episode of the Plant Nebraska Podcast, Hanna and Sarah walk through the full lifecycle of a landscape—from establishment watering and weeding to long-term management, tree care, and eventually refreshing aging gardens. They discuss how maintenance styles differ depending on your goals, why some plants earn extra attention, and how landscapes naturally evolve over time. Help us make the podcast better! Tell us about your podcast listening experience and we'll send you a small thank you gift, we'll also enter you in a drawing for a larger prize: https://unlcorexmuw.qualtrics.com/jfe/form/SV_3eXDaXJQrzpfsrAFor full show notes, including a list of all the plants we mentioned in this episode, visit: https://plantnebraska.org/podcastPlant Sale DatesFor early access to new episodes, photos, and other behind the scenes content, join us on Patreon. For $5/month you'll receive exclusive content or early access to podcasts and other resources while supporting our efforts to Plant Nebraska. https://www.patreon.com/cw/plantnebraskaSend us your questions at arboretum@unl.edu or leave us a voicemail.Follow us @PlantNebraska on Facebook, Instagram, and YouTube.Learn more about the Nebraska Statewide Arboretum: https://plantnebraska.org

Rancho Mesa's Surety Relationship Executive Anne Wright sits down with Luke Thompson of Thompson Law & Consultation to discuss full change order life cycle from a subcontractor's perspective. They share practical guidance on identifying changes early, documenting them properly, communicating effectively with general contractors and owners, and ultimately improving the chances of getting change orders approved and paid.Show Notes: Subscribe to Rancho Mesa's Newsletter.www.ThompsonLawAndConsultation.comDirector: Alyssa BurleyHost: Anne WrightGuest: Luke ThompsonEditor/Producer: Megan LockhartMusic: "Home" by JHS Pedals, “Breaking News Intro” by nem0production© Copyright 2026. Rancho Mesa Insurance Services, Inc. All rights reserved.

This chapter looks at the impact of the entire property life cycle— from concept to retirement—on the corporate portfolio. At both the property and portfolio levels, the real estate life cycle generally runs from acquisition through the length of its holding period to the disposition of space at the end of its economic usefulness (including remediation if necessary).

Ever wondered what really happens between a writer's first flash of inspiration and the moment a book lands in your hands? In this episode, Matthew Harffy and Justin Hill pull back the curtain on the entire journey of getting a book published, and they don't hold back.With nearly 40 published books between them, across traditional publishing, self-publishing, and everything in between, Matthew and Justin walk through every stage of the process: the creative spark (and what happens when inspiration doesn't show up on schedule), the research rabbit holes, the difference between pantsers and plotters, pitching to agents and editors, navigating advances and royalties, structural edits vs. copy edits, cover design battles (stirrups in the wrong century!), title negotiations, publication day anticlimax, translation deals, and the bittersweet moment your book ends up remaindered — or spotted in a second-hand shop.They also dig into the financial realities of publishing that most authors don't talk about openly: what advances actually mean, why earning out matters more than a big payday, what the Society of Authors can do for you, and how PLR and ALCS quietly supplement an author's income year after year.Whether you're an aspiring writer, a published author, or simply a passionate reader curious about how the books you love are made, this is a conversation packed with insight, honesty, and the occasional laugh.Support the show and unlock exclusive bonus episodes on Patreon:https://www.patreon.com/cw/RockPaperSwordsPodcastFind us everywhere: https://linktr.ee/RockPaperSwords

 Organizations invest a significant amount of time and resources conducting major RFPs, renegotiations, and technology transformations. The project delivers meaningful improvements on deal commercials, cost reductions and operational gains.  However, once the deal is done and everyone goes back to their "day jobs", a surprising amount of the value starts to slip away. In this 10-minute episode of Staying Connected, Tony Mangino is joined by TC2's Julie Gardner to discuss how disciplined lifecycle services can preserve deal value between major sourcing events. If you would like to learn more about our experience in this space, please visit our Lifecycle Services webpage. Follow us on LinkedIn: TC2 & LB3

Are your facilities a tool for the Gospel or a burden on your budget? In this episode, Renée and Anthony sit down with Matt Messier, head of the Mission Property Group at Foundry Commercial. With experience assisting over 3,000 churches, Matt shares how ministry leaders can stop playing defense against maintenance costs and start playing offense for the Kingdom. The Reality Check: Buildings as Tools vs. Burdens Many ministry leaders are currently facing a "vicious cycle" where building maintenance drains the resources needed for actual ministry. The Gut Punch: According to Matt, some denominations report that 80% of their churches are one major capital improvement away from closing. The Shift: Since 2008, and accelerated by 2020, the real estate overhead of running a church has grown significantly and left many churches in risky positions. The Warning: If you are barely making your budget but putting nothing away for capital improvements (like a $200,000 roof), you aren't actually making your budget. Navigating the Emotional Weight of Property Transition Property is rarely just brick and mortar. It represents the history of those in your care—marriages, funerals, and family milestones. Acknowledge the Grief: Moving or selling can feel like a failure to those whose families helped build the space. Reframe: Remember that the churches Paul planted no longer exist in their original locations; the church is not dying, it is simply taking a different form. Practice Empathy: allow people to talk about their experiences and the unexpressed love they have for the space, and remember that this attachment comes not from how great the building is itself, but the community that the building has fostered. "The kingdom is never in trouble. The guy running it knows what he's doing." — Matt Messier The "First Button" Principle Matt shares a philosophy for any leadership team feeling stuck: "If you get the first button on your shirt right, the rest of the buttons will fall in place". The First Button is Mission: You cannot build a real estate strategy until you know what God is calling your ministry to do. The Filter: Every property decision must be looked at through the lens of mission and ministry. The Goal: Stewardship is about building the Kingdom by understanding how to leverage your real estate, not just selling off buildings. Innovative Stewardship: Thinking Outside the Box Don't assume your only options are "stay and decay" or "sell and close." Consider these creative approaches discussed in the episode: Leasing for Revenue: One church leased its underutilized education wing to a school for $8,000 a month, which funded repairs and provided consistent income. Long-term Land Leases: Another church used a 40 year lease to host an assisted living facility on their land, allowing them to minister to the residents while retaining the property. Selling Land to Fund Vision: A church sold acreage to a special needs charter school, which allowed them to pay off debt and created a new pathway for their members to serve those families. The Power of Relocation: A Methodist church sold a building for $6 million and moved into a rented retail space near a university, planting two more churches within years because they prioritized mission over bricks. The Life Cycle of a Ministry

Endava set out to reinvent how IT services get delivered in an AI-native world. Dava.X.AI is the group inside Endava driving that shift. Miro is the workspace they're building it on. Together they've shipped Davaflow — an AI engagement lifecycle that runs from signal to explore to govern to evolve, with humans and agents working alongside each other the whole way. On the latest drunkenPM Radio, Matt Cloke (CTO, Endava), Joe Dunleavy (Global Head of Dava.X.AI), and Dave Ross (Evangelist at Miro) talk about how the three came together, what real partnership looks like when two roadmaps quietly merge into one journey, and what it took to actually make it work. Full episode is live. Takeaways - Reframe from value capture to value creation — don't use AI to make existing processes 10–15% better, reimagine the work entirely from an AI-first perspective. - IT services hit its "ChatGPT moment" two years ago when clients and analysts started asking Endava why they were needed if AI could just write the code. - AI is becoming a method, not a tool — just as Agile organized humans to do work, this new method organizes agents and the people working alongside them. - The technology question is largely settled; the change management question isn't — quality has hit the inflection point, and what remains is the human shift, much like Waterfall-to-Agile. - DavaFlow runs in four phases — Signal, Explore, Govern, and Evolve — moving from identifying the right problem, through virtual personas and prototypes, to governing agent output, to evolving in production. - Chat is the wrong interface for most of this work — humans are visual creatures, and tools like Miro give LLMs context that a chat box never could. - AI-driven work can produce better traceability than humans ever did — every decision and prototype connects back through the chain of thought, what Joe called "traceability on steroids." - Anyone can buy the tools — what separates enterprise work from vibe-coding chaos is policy-as-code, defined skills, and human-in-the-loop checkpoints. - Adoption happens in baby steps, not the full vision — showing people the end of the journey overwhelms them, so start at signal and layer in each next step. - The hardest part is the identity question — engineers liked writing code and designers liked crafting prototypes, and the shift is a growth-mindset problem, not a skills problem. Links from the Podcast Endava: https://www.endava.com/ Dava.X.AI https://www.endava.com/dava-x/dava-x-ai Miro: https://miro.com/index/ Upcoming Miro Canvas Events Main Canvas 2026 landing page: https://canvas.miro.com/ Register for the streaming event on May 19 where Joe will be speaking:  https://canvas.miro.com/sanfrancisco/virtual-keynote Register for the in-person event on May 19th in San Francisco where Joe is speaking live:  https://canvas.miro.com/sanfrancisco Register for the in-person event on June 2nd in London where Matt will be speaking live: https://canvas.miro.com/london Register for the in-person event on June 16th in Sydney where Wesley Fagan the APAC SVP for Strategy and Chief Design Officer at Endava will be speaking live: https://canvas.miro.com/sydney Contacting the Guests Matt Cloke https://www.linkedin.com/in/mattcloke/ Joe Dunleavy https://www.linkedin.com/in/joedunleavy/ Dave Ross https://www.linkedin.com/in/davidmross/ Dave Prior https://linktr.ee/mrsungo Chapters 00:00 Introduction to Endava and AI Transformation 08:54 Navigating the AI Landscape: Challenges and Opportunities 17:52 The Evolution of Miro and AI Integration 24:00 Dava Flow: The AI Engagement Lifecycle 25:49 The Power of Visual Context in AI 27:03 Enhancing Contextual Understanding with AI 29:12 Temporal Dimensions in Decision Making 31:27 Navigating Change in Organizational Mindsets 35:40 Demonstrating Value to the C-Suite 38:13 Embracing the Future of Work 41:09 Amplifying Human Creativity with AI

his episode looks at where Q10 fits in the broader quality landscape, including its roots in ISO 9001, ISO 9004, and ISO 13485, while making the key distinction that Q10 is not a certifiable ISO-style standard. Instead, Q10 is designed to augment regional GMPs and provide a lifecycle model for managing pharmaceutical quality.Using the Annex 2 PQS diagram, Subhi walks through how Q10 applies across pharmaceutical development, technology transfer, commercial manufacturing, and product discontinuation. The episode discusses phase-appropriate GMP expectations, why Q10 does not replace GMP, and how management responsibility spans the full lifecycle, including outsourced activities and purchased materials.The episode also covers the four core PQS elements: process performance and product quality monitoring, CAPA, change management, and management review. These elements are presented as operational loops that help maintain control and drive improvement. Subhi also highlights the two key enablers of the model: knowledge management, connected to ICH Q8, and quality risk management, connected to ICH Q9.The episode closes with Section 4 of Q10, which focuses on continual improvement of the PQS itself, including management review inputs, external changes, resourcing, documentation, and communication.00:00 Welcome and Series Setup00:14 Why ICH Q10 Matters01:21 Lifecycle and Phase-Appropriate GMP02:23 GMP Foundation and the PQS Model02:58 Management Responsibility03:31 Core PQS Elements04:26 Enablers: Knowledge Management and QRM04:40 Guideline Walkthrough: Sections 1 to 306:37 Continual Improvement of the PQS07:45 Wrap Up and Next EpisodeSubhi Saadeh is the Founder and Principal at Let's Combinate, where he helps teams develop and control drug-device combination products by aligning quality systems, development, and regulatory expectations across drug and device domains. He is a consultant, auditor, trainer, and speaker with experience across companies including Pfizer, Gilead, and Baxter, supporting the development and launch of combination products across vaccines, biologics, and generics, including leading and supporting combination product transformations across large organizations.

In this episode, Cambria Allen-Ratzlaff, Interim CEO of the PRI, is joined by Michael Benedict Yamoah (Vice President, Stewardship Director, EOS at Federated Hermes), Chris Jurgens (Senior Director, Omidyar Network), and Oumou Ly (Non-resident Research Fellow, UC Berkeley Center for Long-Term Cybersecurity) to explore how investors should respond to AI.Building on Part 1, this episode moves from theory to practice, outlining how investors can assess AI governance, identify risks across portfolios, and begin engaging with companies in a fast-moving and uncertain landscape.Overview:AI is already reshaping portfolios, but most investors are still early in understanding how to manage the risks. This episode focuses on practical steps, from governance and engagement to tools, research, frameworks and real-world examples of leading practice.A key message is that there is no perfect framework yet. Instead, investors must start now, build capability over time, and engage continuously as the technology evolves.Detailed coverage:What good AI governance looks likeAt a minimum, companies must comply with regulation and establish clear internal policies. Strong governance goes further, embedding AI into enterprise risk management, assigning board-level responsibility, and ensuring oversight across the organisation.Beyond compliance: lifecycle thinkingInvestors are encouraged to assess the full lifecycle of AI systems, from development and deployment to real-world impacts, liabilities and societal consequences.AI risk is dynamicUnlike other technologies, AI systems evolve post-deployment. This requires continuous monitoring, disclosure and adaptation, rather than one-off assessments.Examples of leading practiceCompanies such as Anthropic and Microsoft are highlighted for transparency, investor engagement and responsible AI frameworks. Across the ecosystem, progress is being driven by collaboration between companies, investors and policymakers.The importance of infrastructure and ecosystemsAI is not just about software, it spans chips, data centres and energy systems. Managing its risks requires coordination across the full value chain.Practical starting points for investorsInvestors should map where AI sits in their portfolios, identify key use cases, and assess associated risks such as cybersecurity, compliance and liability.Tools, frameworks and collaborationA growing ecosystem of resources, from investor coalitions to research frameworks, is emerging to support engagement and analysis.A marathon, not a sprintAI governance is an ongoing process. Investors must build long-term capability, stay engaged in dialogue, and avoid waiting for perfect solutions before acting.Start now, signal intentEven simple engagement, asking basic governance questions, can send a strong signal to companies that responsible AI matters.Chapters:00:08 - Introduction: from AI risk to investor action01:00 - What good AI governance looks like03:05 - Internal policies, risk management and board oversight05:00 - Lifecycle thinking and real-world impacts08:17 - Examples of leading practice in AI governance10:30 - Defining and understanding AI risk13:15 - Mapping AI use cases across portfolios15:39 - Practical tools and investor resources19:44 - Why AI is a marathon, not a sprint22:24 - Final takeaways: start now and engageFurther reading: Anthropic labor market impacts, Microsoft transparency reportDisclaimer:This podcast and material referenced herein is provided for information only. It is not intended to be investment, legal, tax or other advice, nor is it intended to be relied upon in making an investment or other decision. PRI Association is not responsible for any decision made or action taken based on information on this podcast. Listeners retain sole discretion over whether and how to use the information contained herein. PRI Association is not responsible for and does not endorse third parties featured on in this podcast or any third-party comments, content or other resources that may be included or referenced herein. Unless otherwise stated, podcast content does not necessarily represent the views of signatories to the Principles for Responsible Investment. All information is provided “as is” with no guarantee of completeness, accuracy or timeliness, or of the results obtained from the use of this information, and without warranty of any kind, expressed or implied. PRI Association is committed to compliance with all applicable laws. Copyright © PRI Association 2026. All rights reserved. This content may not be reproduced, or used for any other purpose, without the prior written consent of PRI Association.

Ever wonder where those viral packaged foods and beverages go once the hype dies? Welcome to the grocery aftermarket…and it's thriving partly because the TikTok “Bullwhip Effect” is seemingly in overdrive. And that virality can trigger thousands of orders in hours, causing CPG brands to rush (now inflated) production runs. Although by the time the inventory hits warehouses and retail shelves, the internet has moved on. In fact, almost three out of every four Gen Z and Millennial shoppers report “buyer's remorse within six months of trend-driven purchases.” This consumer "cooling" leads to a rapid drop in retail velocity…thus forcing CPG brands and grocery retailers to clear remaining stock through secondary liquidators like TJ Maxx or Ollie's Bargain Outlet. Obviously, seeing those premium, organic, and/or functional products for like 75% off can ruin brand equity…but I'd argue overall categorical value perceptions can be impaired when certain product subcategories (especially nascent ones) flood aftermarket retailers. Regardless, which CPG brand have you surprisingly seen in the “discard” bins lately?

Lifecycle Target Misalignment Abstract Dianna and Fred discuss the dangers of lifecycle target misalignment and how they impact product engineering and customer satisfaction. Key Points Join Dianna and Fred as they discuss the dangers of lifecycle target misalignment and how they impact product engineering and customer satisfaction. Topics include: The story of a 25-year-old cell […]

In this episode of the Omnichannel Marketer, host Kait Stephens interviews Jared Grawrock, Head of Lifecycle & Retention Marketing at goodr.Jared shares his journey from dabbling in early social media and email marketing to leading retention strategy at one of the most beloved sunglass brands in the country. He discusses what it truly means to be "customer obsessed," how goodr balances DTC and omnichannel growth, and why building deep brand loyalty from day one is the single most powerful growth lever a brand can have.The conversation dives into how goodr uses data, AI, and a relentless focus on the "why" behind customer behavior to build lifecycle programs that actually resonate, and why word-of-mouth still reigns as their number one acquisition channel after a decade in business.TAKEAWAYS:Good lifecycle and retention marketing starts with asking "why" – why did they buy, why did they come back, and why does one cohort outperform another.Retention and acquisition are not competing priorities; they are complementary levers that must be balanced together.goodr actively embraces omnichannel growth, building strategies to serve customers wherever they want to shop, whether DTC, Amazon, or retail partners like REI.Using Brij inserts in Amazon orders has been a key tactic for identifying anonymous customers and bringing them into goodr's owned ecosystem.The brand's highest-retention cohort traces back to its earliest days, when the CEO handed out sunglasses from the trunk of his car. Word-of-mouth remains goodr's number one acquisition channel, even after ten years of growth across paid and owned channels.AI is accelerating Jared's ability to analyze data and surface insights, including parsing nearly 10,000 open-ended loyalty survey responses in a fraction of the time.AI will improve product recommendations and shorten the consideration phase, but it cannot replicate the emotional experience of a purchase that just feels right.SMS is one of the most underrated lifecycle channels: powerful when done right, but easy to get wrong.The biggest mistake brands make in retention is treating customers as generic segments.Where to find Jared Grawrock:LinkedIn: https://www.linkedin.com/in/jared-grawrock-57124a7/ Website: https://goodr.com/Where to find Kait Stephens:LinkedIn: https://www.linkedin.com/in/kait-margraf-stephens/Website: www.brij.itSUBSCRIBE TO THE OMNICHANNEL MARKETERwww.theomnichannelmarketer.com

In this episode, Jewel sits down with Cortez Johnson to break down the full lifecycle of a corporation—from startup to growth, maturity, exit, and decline—unpacking how companies are built, scaled, and ultimately transformed through capital, strategy, and market forces. Drawing from his experience in M&A and finance, Cortez reveals how each phase reshapes executive roles, from early-stage hustle to structured growth, high-pressure exits, and turnaround environments, giving Black executives a clearer lens on how to position themselves inside the systems that drive power, wealth, and long-term opportunity. Join us ➡️ Black Executive Men on Linkedin ➡️ Apply here for Black Executive Men

Finding a risk in your Security Risk Analysis is only half the job. The other half is fixing it, proving you fixed it, and closing the loop.This episode walks through the full lifecycle of a corrective action plan, from identifying the gap to building a remediation plan, assigning ownership, gathering proof, and formally closing it out. We also cover the common mistakes that stall progress or leave organizations exposed during audits, and three steps you can take right now to get your open findings moving in the right direction.Learn more about Medcurity here: https://medcurity.com#Healthcare #Cybersecurity #Compliance #HIPAA #SecurityRiskAnalysis #CorrectiveActionPlan #AuditReady #HIPAACompliance #HealthcareIT

On this episode, Ollie Taylor and Alessandro Stagni join the podcast to discuss the MarineShift360 Impact Accelerator program. It’s a year-long initiative equipping marine organizations with lifecycle assessment expertise and access to an industry-wide sustainability network. Ollie is the Founder of Marine Futures and the program director of Marine Shift 360. Alessandro is the Chief Technology Officer at nlcomp (Northern Light Composites).  Three companies were selected […] The post Redefining Marine Composites Lifecycle: A Closer Look at the MarineShift360 Impact Accelerator Program first appeared on Composites Weekly. The post Redefining Marine Composites Lifecycle: A Closer Look at the MarineShift360 Impact Accelerator Program appeared first on Composites Weekly.

Get the Free Content Consumption Audit Guide: https://trainings.growtheshow.com/content-audit Work with me (done-for-you growth): ⁠⁠⁠⁠⁠⁠⁠⁠⁠Apply to the Grow The Show Accelerator⁠⁠⁠⁠⁠⁠⁠⁠⁠ Content not performing? Your strategy may be solid and the source may be trustworthy, but if it's no longer working, there's a reason — and it has nothing to do with execution. This episode breaks down why content strategies stop working, which expired strategy  you may be using right now, and the framework that ensures you never run one again. That means more sales, more growth, and a content strategy that actually works. Topics Discussed: Introduction (00:00) Why this strategy stopped working (01:02) The strategy that's actually working right now (02:38) The five-year marketing lifecycle explained (04:17) How YouTube thumbnails have changed (06:24) Two questions that determine your podcast strategy (07:42) How to improve your content strategy this week (09:19) MORE FROM KEVIN: Got feedback on this episode? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Submit it here.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Take the FREE ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠12 Days of Podcast Growth Email Course⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to get 12 days of podcast growth lessons in your inbox! Connect with Kevin on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to Grow The Show on Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ This episode was produced by Podcast Boutique ⁠⁠https://www.podcastboutique.com