Podcasts about bottlenecks

The following article of the Mobility industry is: 'Infrastructure, AI: Overcoming EV Fleet Bottlenecks in Mexico' by Manuel Tamayo, EVP & President, Element Fleet Management México. 

Gas and diesel prices are rising again, and the pressure may not fade quickly even if crude oil prices cool off.Chuck Zodda and Mike Armstrong break down why refinery disruptions in the Middle East and Russia are pushing crack spreads to record highs, how tight refined-product supplies are keeping pressure on drivers, and why China's oil strategy could quickly change the global energy picture. They also discuss how airline credit cards and rewards programs have become a major profit engine, why AI is already reshaping some entry-level jobs, what retirement planning needs to account for before inflation becomes a bigger problem, why more Boomers are buying larger homes instead of downsizing, and why prediction markets may be creating new insider-trading risks.

Imagine a dark warehouse. Racks and racks of devices with wires, tubes, and electronics sticking out. The next AI data center? No. This is Lila Sciences‘ dream for the future of science. A dark warehouse full of AI-guided robotics and lab equipment, cranking out new experiments 24/7, building toward a scientific superintelligence.Their automated lab is almost hypnotizing to watch. They have floating plates zipping around on Wall-E-esque tracks, used vision-language models to control Windows 95 boxes, and created the world's largest collection of voided warranties. In the process they've built a massive library of scientific reasoning tokens. Over 10 trillion of them, all experimentally validated.No warranties were voided in the making of this videoTo say Lila is ambitious is an understatement. Their goal is a scientific superintelligence wired directly into the wet lab. They are all in on the bitter lesson, and the thesis follows from it: a lab is an infinite token generator. Produce data at scale, and the synergies give you a general reasoner that can tackle any scientific problem. They are committing hard. Biology, chemistry, drug discovery, and materials science, all at the same time. Time will tell if it works, but it is an exciting hypothesis.In our latest episode we sat down with Lila's very own Andy Beam (CTO) and Rafa Gómez-Bombarelli (CSO, physical sciences) and went on a journey through the possibilities of AI-run science, almost as wide-ranging as Lila's goals.Did we mention they do both materials science and biology? In the same AI science factory? Same time, same lab, same AI. Finally a guest who can settle a long-running debate we've had amongst ourselves: is biology or materials science harder?Watch to find out!We discuss:* The internet is spent, science is next. Why Lila thinks the scientific method is the last untapped internet-scale dataset, and why they treat RL as a data generation mechanism with nature as the verifier.* The lab as a data center. Instruments as nodes on a graph, a magnetically levitating “PCI bus” transport layer between them, orchestration as a slurm queue. Andy is not short on analogies.* Why Lila insists it is not an automation company. They optimize for flexibility and generalizability over raw throughput, which means humans stay below the API line wherever automating does not pay.* Your experiment has a runtime. We put Escalante Bio's question to Andy: if science is the token generator, what is the runtime of your data collection? His answer, in short, is that you cannot make the ribosome go faster. Why Lila bets on fast round-over-round iteration rather than big noisy multiplexed screens, and how Rafa's team rebuilt a gas sorption measurement to run roughly 2,500x faster.* What is actually in 10 trillion scientific tokens. Not sequences. Experimentally verified reasoning traces, a kind of data that Andy argues exists on the internet in quantities that round to zero.* Breadth as a path to depth. Small molecule chemistry priors transferring to metal organic frameworks for carbon capture, and the claim that the general model beats domain-specific models sample for sample.* If you have the data, what do you need the model for? Sri Kosuri's koan about the ML-for-drug-discovery business model, and Andy's answer: the coding model got better because it also read Shakespeare and carnitas recipes.* The serendipity they want to automate. Emily Whitehead survived the first pediatric CAR-T cure only because the doctor treating her happened to know, from pediatric arthritis, which antibody would blunt her IL-6 response. Roll that dice again and you probably lose her. Breadth is how you stop depending on luck.* Move 37 for catalysts. Model suggestions for platinum-group-free electrocatalysts that went from boring, to what a 40-paper expert called stupid, to the best performers they have made.* Six months to in vivo CAR-T data in non-human primates, and the zero-FTE virtual startup commercial model that fell out of it. For context on why that number is startling, AbbVie paid $2.1B for Capstan on the strength of preclinical in vivo CAR-T data.* You cannot have scientific superintelligence if you are just a good test taker. Ken Stanley, who wrote Why Greatness Cannot Be Planned, runs open-endedness at Lila. RL at scale gives you a ruthlessly Vulcan problem solver. Machine creativity is a different thing, and it is the part nobody has solved.* The chain of thought is an unreliable narrator. The model reasons in latent space and only emits tokens. Sometimes it skips the experiment entirely and is still right. So how much do you trust the reasoning versus the verifier?* Reward hacking when the rollout is physical. Chains of thought that collapse into repetition, and a model that got annoyed and swore at the scientist who kept asking it to redo a plate map. What happens when a pathological loop has a wet lab inside it?* The bittersweet lesson. Rafa's inversion of the bitter lesson: in AI, scaling is a roadmap. In materials, scaling is a filter, because only the things that scale end up mattering.* Not your typical Flagship company. Why a famously single-asset biotech incubator spun out a platform bet, and Andy's line that if Lila called itself a biopharma it would have a top-three GPU cluster.* Bottlenecks they would remove by fiat. Sim-to-real for physics-based simulation, and the fact that RL training runs at roughly 5% mean FLOP utilization.Watch on YouTube: This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

Is the AI industry actually overbuilding, or is the physical world moving too slowly to keep up? In this episode of the MAD Podcast, OpenAI's Head of Industrial Compute, Sachin Katti, takes us inside the "belly of the beast" of what may be the largest infrastructure project in human history. We explore the staggering physical reality of the AI boom—from $50 billion supercomputers and liquid-cooled data centers that "turn electrons into tokens," to overhauling the U.S. power grid and exploring nuclear energy. Sachin also pulls back the curtain on OpenAI's Stargate strategy, their move into custom silicon with Project Jalapeno, and the mind-bending reality that AI is now beginning to design the very chips that will power its own future.(00:00) — Cold open: “One of the largest things humanity has ever built”(00:30) — Welcome: Sachin Katti, Head of Industrial Compute at OpenAI(01:44) — Is this the biggest infrastructure buildout in history?(03:41) — Why OpenAI is building a new industrial muscle(04:54) — What an AI data center actually is(05:27) — “Factories turning electrons into tokens”(06:35) — Why AI data centers need liquid cooling everywhere(08:10) — The power problem: grids, generation, transmission, substations(10:43) — Behind-the-meter power and gas turbines(11:02) — Why nuclear “can't come soon enough”(11:49) — Jalapeño: why OpenAI is designing its own AI chips(13:19) — Tokens per watt: the new metric that matters(13:38) — Why inference may now dominate AI compute(14:58) — Is OpenAI overbuilding compute?(16:47) — Why OpenAI thinks the bigger risk is not building fast enough(17:55) — Communities, jobs, water, and the local data-center debate(21:16) — How OpenAI chooses data-center sites(22:25) — What “industrial compute” means inside OpenAI(25:59) — Sachin's path: Stanford, startups, Intel, OpenAI(28:05) — OpenAI's compute portfolio: Microsoft, hyperscalers, neoclouds(29:37) — Stargate explained(31:21) — Abilene, Oracle, and the next wave of AI data centers(32:48) — How massive AI compute gets financed(34:05) — How OpenAI designed Jalapeño so quickly(35:59) — AI is starting to help design AI chips(36:20) — MRC: the networking problem behind 100,000 GPUs(38:47) — Bottlenecks: transformers, turbines, electricians, supply chains(40:29) — Guaranteed capacity: intelligence as a supply unit(42:08) — Will AI data centers move to space?

Europe has made remarkable progress in developing renewable energy, but grids – both at distribution and transmission level, are struggling to keep up. Congestion, long connection queues and ageing infrastructure are holding back the energy transition. So, is the answer simply building more grid infrastructure; or making better use of the network we already have?In this third episode of the Plugged In Summer Series, host Richard is joined by experts from across the electricity sector to explore how Europe can ease its growing grid bottlenecks. Frank Boerman-Lima shares insights from the front line of transmission system operation and cross-border electricity markets. Luuk Veeken explains how AI, forecasting and automated trading are helping integrate more renewable power, while Brian Lonn discusses the growing role of battery storage and flexibility markets in supporting the grid. Together, they explore how smarter market design, flexibility and digital innovation can unlock more capacity from Europe's electricity networks and keep the energy transition moving.Host:Snjólfur Richard Sverrisson, Editor-in-Chief, Montel NewsGuests:Frank Boerman-Lima, Flow-Based Capacity Calculation ExpertLuuk Veeken, CEO, Dexter EnergyBrian Lonn, Head of UK Flexibility, StatkraftProducer: Alexandra CarlonEditor: Alexandra Carlon#EnergyTransition #PowerGrids #RenewableEnergy #GridFlexibility #ElectricityMarkets #EnergyTransition #PowerGrids #CleanEnergy #BatteryStorage #AI #EnergyTransition #ElectricityMarkets #PowerGrids #GridFlexibility #Renewables

Many chiropractors believe they need to work harder to grow. The reality? Most practices don't have an effort problem—they have a systems problem. In this episode, we break down Dr. Noel Lloyd's framework for identifying and eliminating the hidden bottlenecks that prevent chiropractic practices from reaching their full potential. Inside this episode you'll learn: Why busy doesn't always equal growth The hidden operational bottlenecks that stall practice momentum How unpredictable patient flow creates burnout Why "Power Hours" dramatically improve efficiency and patient experience The difference between productive work and busy procrastination Dr. Lloyd's "First, Best & Easiest" method for creating momentum How a compelling long-term vision aligns your entire team Why your peer group has a direct impact on your practice growth The persistence principle that separates thriving practices from stagnant ones Ready to Grow Your Practice?

In this episode of Everything is Logistics, Blythe talks with Tom Curee, President at Qued, about why freight appointment scheduling is still one of the most stubborn problems in logistics.Qued focuses on appointment scheduling for brokers, carriers, and shippers. The platform connects into existing TMS workflows so users can automate scheduling, manage exceptions, and build trust through visibility instead of forcing teams into another portal.They cover:Why appointment scheduling creates so much back-and-forth for logistics teamsHow many times a single appointment usually gets touchedWhy user trust matters when automating freight workflowsHow Qued uses audit logs to show every step of the scheduling processWhy the best appointment is not always the appointment a team thinks it wantsHow natural language rules help Qued scale complex scheduling logicWhy logistics companies should prioritize tech that improves the customer experienceThis conversation is part of the CargoRex AI Use Cases in Logistics guide, featuring real examples of how logistics companies are using AI across freight, warehousing, procurement, visibility, and operations.Read the full guide here:https://cargorex.io/research/ai-use-cases-in-logistics/LINKS:Qued:https://qued.comCargoRex AI Use Cases in Logistics Guide:https://cargorex.io/research/ai-use-cases-in-logistics/ -----------------------------------------THANK YOU TO OUR SPONSORS!SPI Logistics has been a Day 1 supporter of this podcast which is why we're proud to promote them in every episode. During that time, we've gotten to know the team and their agents to confidently say they are the best home for freight agents in North America for 40 years and counting. Listen to past episodes to hear why.CargoRex is the search engine for the logistics industry—connecting LSPs with the right tools, services, events, and creators to explore, discover, and evolve.Digital Dispatch maximizes and manages your #1 sales tool with a website that establishes trust and builds rock-solid relationships with your leads and customers. 

Joe DeYonker, CEO of Pure Play ETFs, introduces the Nvidia Ecosystem Picks and Shovels Index ETF (NVP), which provides exposure to Nvidia's (NVDA) entire value chain, from silicon suppliers to data center infrastructure providers. He explains how the ETF helps investors navigate shifting AI bottlenecks and rotation risk by packaging Nvidia's ecosystem into a single investment, while positioning the AI buildout as a long-term growth opportunity.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Was passiert eigentlich mit all dem Wissen, das jahrzehntelang in den Köpfen erfahrener Mitarbeitender steckt – wenn diese in Rente gehen oder das Unternehmen verlassen? Wie schafft man es, dass Onboarding nicht jedes Mal wieder bei null beginnt? Und wie macht man Wissen so zugänglich, dass Menschen es auch wirklich nutzen wollen?In dieser Folge spreche ich mit Dr. Maurice Zomorrodi, Gründer von Elephant – einer KI-gestützten Trainings- und Wissensplattform für operative und gewerbliche Teams. Die Idee dazu ist nicht am Schreibtisch entstanden, sondern in seiner eigenen Bar: Immer wieder musste Maurice neue Mitarbeitende einarbeiten – und sobald jemand Abläufe, Rezepte und Handgriffe wirklich draufhatte, war die Person oft schon wieder weg. Daraus wurde eine Frage, die heute viele Unternehmen umtreibt: Wie bekommen wir Wissen so zu den Mitarbeitenden, dass sie es wirklich nutzen können – auch dann, wenn die ursprüngliche Wissensträgerin oder der ursprüngliche Wissensträger längst nicht mehr da ist?Wir sprechen darüber:Warum Wissenssicherung jetzt zur Pflichtaufgabe wird: Welche Folgen es hat, wenn ganze Generationen das Unternehmen verlassen – und warum Wissen das unsichtbarste, aber wertvollste Asset im Betrieb ist.Vom Handbuch zur Datenbrille: Wie virtuelle Brillen am Arbeitsplatz jeden Arbeitsschritt dokumentieren – und damit eine völlig neue Grundlage für Wissenstransfer schaffen.Wissen in Formaten, die Menschen auch nutzen: Wie aus aufgezeichneten Arbeitsabläufen Videos, kurze Hörsessions oder Chatbots entstehen – und warum Format-Vielfalt der Schlüssel zur Akzeptanz ist.Schnelleres Onboarding, weniger Reibung: Wieso neue Mitarbeitende viel schneller fit werden, wenn sie sich Inhalte selbstständig erschließen können – statt Kolleg:innen ständig mit Rückfragen zu unterbrechen.Bottlenecks systematisch reduzieren: Wie KI-gestützte Wissenssicherung Abhängigkeiten von einzelnen Wissensträger:innen auflöst – und Unternehmen damit robuster und handlungsfähiger macht.Wissenskultur statt Wissenshorten: Warum Technologie allein nicht reicht – und welche Haltung Unternehmen brauchen, damit Wissen wirklich geteilt und nicht gehütet wird.Diese Folge zeigt: Wissenssicherung ist kein IT-Projekt, sondern eine strategische Aufgabe. Sie entsteht dort, wo Technologie, Kultur und kluge Formate zusammenkommen – damit Wissen nicht mit einzelnen Menschen verschwindet, sondern Teil des Unternehmens bleibt.Jetzt reinhören – und erfahren, wie Unternehmen mit KI-gestützter Wissenssicherung den Übergang in die nächste Generation meistern können.Und hier ist der Kontakt zu Maurice:➡️  LinkedIn: https://www.linkedin.com/in/maurice-zomorrodi/➡️  Webpage: https://www.elephantcompany.com/de Diese Folge wird unterstützt von Uniwunder – Deutschlands größter StudierendenplattformÜber 80.000 Absolvent:innen suchen dort nach ihrem ersten JobFür Unternehmen: direkter Zugang zu jungen akademischen Talenten, Sichtbarkeit bei der Gen Z, Employer Branding über Social Media und ein passgenaues Recruiting-PaketJetzt, einen Monat kostenlos eine Stelle schalten auf

Are you tired of repeating the same emotional reactions, relationship conflicts, leadership struggles, or painful cycles and wondering why nothing seems to change? In this session, Tim Holloway teaches how to begin noticing the patterns in your life so you can stop living on autopilot and start growing with wisdom, maturity, and spiritual clarity. This message is for men, leaders, believers, husbands, fathers, business owners, and anyone pursuing personal growth, emotional maturity, spiritual formation, and biblical transformation. You'll learn why your reactions, avoidance, anger, withdrawal, fear, overworking, procrastination, and relationship tension are not random. They are patterns revealing something deeper beneath the surface. God uses patterns everywhere: seasons, seedtime and harvest, day and night, pruning, leadership growth, biblical stories, emotions, and even pain. When you learn to notice these patterns without blame, excuses, or denial, you begin to see where you are located, what God is forming in you, what needs to be pruned, and what cycle must finally be broken. What you'll learn: how repeated emotional patterns reveal hidden beliefs; why biblical stories like Adam and Eve, Cain, David, Elijah, and Jonah show recurring human cycles; how relationships drift from connection to disconnection through neglect, assumptions, and unresolved hurt; how leadership, business, money, burnout, and spiritual maturity all follow patterns that can either produce growth or keep you stuck. 00:00 Intro: What Are You Noticing?02:21 The Key to Wisdom Is Recognizing Patterns03:33 Life Stages, Growth, and Development05:22 Independence, Marriage, Fatherhood, and Maturity10:11 Successful People Notice Patterns11:24 Seasons, Timing, and Ecclesiastes15:42 Seedtime, Harvest, and Spiritual Growth18:16 Bringing Ideas and Growth to Life20:04 Water, Flow, Stagnation, and Integration21:27 Location Identification and Leadership Growth22:12 Transformation Patterns and the Butterfly23:47 Forest Growth, Decay, Renewal, and Pruning26:05 Ebb and Flow: When to Advance or Retreat28:35 Day, Night, Work, Rest, and Sabbath29:31 The Pruning Pattern Before Greater Fruit31:00 Biblical Patterns and the Sin Cycle34:34 Cain, Comparison, Resentment, and Sabotage35:46 David, Bathsheba, Temptation, and Cover-Up37:18 Why Detrimental Patterns Keep Repeating39:30 The Fork in the Road Before the Cycle Continues43:18 Emotional Patterns and Faulty Interpretation48:53 Relationship Patterns and Repeated Conflict51:03 Behavior Patterns, Escapes, and Reinforcement52:45 Leadership, Business, Bottlenecks, and Growth53:59 Kingdom Patterns and God's Process56:25 Jesus Christ as the Ultimate Pattern #SpiritualGrowth#EmotionalMaturity#BiblicalWisdom#LeadershipDevelopment#PersonalGrowth Learn more about your ad choices. Visit megaphone.fm/adchoices

Why aren't you making money in your business yet? The answer may not be your pricing, your niche, or another course you need to buy.In this episode of The Peaceful CEO Podcast, Angelica Stanley unpacks the real reasons many Christian women entrepreneurs struggle to generate consistent revenue and why the issue is often clarity, visibility, or systems rather than money itself.If you've ever found yourself thinking:• "Maybe my audience isn't buying."• "Maybe I need another certification."• "Maybe I need a new offer."• "Maybe I just need to work harder."This conversation is for you.Inside this episode you'll learn:✔ Why people cannot buy what they do not understand.✔ Why visibility matters more than perfection.✔ The hidden cost of giving away too much expertise for free.✔ Why burnout creates inconsistency and confusion.✔ How structure creates sustainable growth.✔ Why revenue often follows clarity instead of hustle.✔ What stewardship looks like before expansion.Angelica shares lessons learned while building a business alongside homeschooling, motherhood, and family responsibilities and explains why more effort was never the answer.Sometimes God is asking us to steward what is already in our hands before He entrusts us with more.If your business feels stuck, scattered, or inconsistent, this episode will help you identify the real bottleneck and focus your energy where it matters most.Resources mentioned in this episode:• The Peaceful CEO Podcast• The Biz Collective• Bold & Beautiful Branding Masterclass• Authority Builder• Anointed AutomationsSubscribe for weekly conversations on Christian entrepreneurship, biblical leadership, AI and automation, digital products, peaceful productivity, YouTube growth, and building a Kingdom-aligned business that serves your family instead of competing with it.#ChristianBusiness #ChristianEntrepreneur #FaithBasedBusiness #OnlineBusiness #KingdomEntrepreneur

Are you confusing a skyrocketing AI token bill with actual engineering value? This week on Dev Interrupted, Kraken's Engineering Operations Lead, Nik Sudan, joins the show to break down the harsh realities of moving agentic AI projects from pilot to production without compromising code health. He unpacks why raw AI adoption is a flawed vanity metric, detailing how his team uses tools like the LinearB MCP server to combine high-level engineering metrics with granular repository data to uncover hidden workflow bottlenecks. Finally, Nik reveals his exact playbook for translating complex data, like P90 cycle times, into a clear, business-driven narrative that secures vital buy-in from non-technical stakeholders. Life Beyond Tokenmaxxing Workshop: Watch the full replay on demand at linearb.io Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:LinearB MCP Server: Learn how to chat with your engineering data and uncover hidden bottlenecks at linearb.io/platform/mcp-serverThe APEX Framework: Read LinearB's guide on the operating model for AI-era engineering teams at linearb.io/resources/apex-frameworkKraken: Learn more at www.kraken.comWebsite / Follow Nik:niks.space OFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

In this episode, we dive into how e-commerce founders can break through growth plateaus by overcoming their biggest time bottlenecks. Abbas Mohamed, founder of Remote Leverage, shares how small businesses can scale rapidly by delegating tasks to highly skilled global talent. He reveals the primary roles you should hire first, how to spot the exact bottleneck holding your business back, and why building a remote support team does not mean sacrificing quality or brand consistency.Topics discussed in this episode:  How founders become the business bottleneck.What roles to delegate to global talent first.Why hiring a marketer unlocks business growth.How to identify your exact business bottleneck.Why Latin American talent offers massive value.What tasks founders should stop doing daily.How clear company values ensure brand alignment.What a full-service hiring process looks like.Why a twelve month replacement guarantee helps.How recruiting infrastructure scales a company.Links & ResourcesWebsite: https://remoteleverage.com/LinkedIn: https://www.linkedin.com/company/remote-leverage/Facebook: https://www.facebook.com/profile.php?id=61556467767577Instagram: https://www.instagram.com/remoteleverageva/Get access to more free resources by visiting the show notes at https://tinyurl.com/bdz6kharI'd love your feedback. Tap the the link to send me a text. ______________________________________________________LOVE THE SHOW? HERE ARE THE NEXT STEPS!Follow the podcast to get every bonus episode. Tap follow now and don't miss out!   Rate & Review: Help others discover the show by rating the show on Apple Podcasts at https://tinyurl.com/ecb-apple-podcasts   Join our Free Newsletter: https://newsletter.ecommercecoffeebreak.com/   Support The Show On Patreon: https://www.patreon.com/EcommerceCoffeeBreak   Partner with us: https://ecommercecoffeebreak.com/partner-with-us/

Digital transformation in biotech is no longer just about adopting new tools, it's about building a foundation where automation, data standardization, and AI integration actually lead to real value and long-term success.For today's episode, David Brühlmann is joined by David Hardy, a leader at Thermo Fisher Scientific. With years spent guiding automation and digital lab transformation projects around the globe, David's perspective is equal parts pragmatic and visionary. He's watched automation go from pilot to scale, advised on the messy realities of lab data, and seen firsthand what separates science fiction from science fact in fully connected labs.In this episode:Bottlenecks in lab automation, especially the challenge of scaling data volume and adapting processes (02:26)Differences between machine learning (ML) and generative AI in lab contexts, and why ML remains central to value extraction (04:17)The key requirements for successful AI adoption: quality data, robust data checking processes, and a cyclical approach to model training (05:25)The vision for an AI-enabled, fully connected lab and the role of predictive maintenance and data quality checks (07:24)Data governance strategies: balancing access and security, and the case for data democratization within organizations (09:32)How data standardization paves the way for better AI and smoother connectivity (11:25)The necessity of treating digital transformation as an ongoing journey, not a one-time project (12:15)Smart insight: digital transformation is not a one-off project but a long-term journey. The most important takeaway for any scientist or leader? Prioritize good quality, standardized data; invest in the foundational work; and foster a culture of collaboration and learning.The connectivity problem doesn't stop at the data layer. These episodes tackle the automation failures, digital infrastructure decisions, and AI readiness questions that determine whether your lab's data ever becomes an asset.Episodes 215 - 216: From Data Silos to Autonomous Biomanufacturing: Digital Twins and AI-Driven Scale-Up with Ilya BurkovEpisodes 233 - 234: Why Most Bioprocess Automation Projects Fail Before the Robot Is Even Ordered with Anthony CatacchioEpisodes 153 - 154: The Future of Bioprocessing: Industry 4.0, Digital Twins, and Continuous Manufacturing Strategies with Tiago MatosEpisodes 17 - 18: How Extracting Gold From Your Data Accelerates Process Development with Ioscani Jiménez del Val - Part 1Connect with David Hardy: LinkedIn: www.linkedin.com/in/david-hardy-46331823 Thermo Fisher Scientific website: www.thermofisher.comNext: If you enjoyed this episode, please leave a review on Apple Podcasts or your favorite podcast platform. By doing so, we can empower more scientists like you. Stay tuned for more inspiring biotech insights in our next episode.Support the show

In this episode of Operational Clarity with Lynsey Hull powered by The Coffee Shops, Heidi J. Ellsworth joins Lynsey Hull of Tyelus to explore the journey from operational friction to intentional architecture. The discussion dives into what really slows organizations down and why most teams attempt to solve structural problems with surface-level fixes. Lynsey shares how leaders can move from reactive troubleshooting to proactive operational design by aligning people, technology, data and process. This episode challenges executives and operators to stop firefighting and start thinking like architects, designing systems that are scalable, resilient and built for long-term growth. Learn more at RoofersCoffeeShop.com!  https://www.rooferscoffeeshop.com/   Are you a contractor looking for resources? Become an R-Club Member today! https://www.rooferscoffeeshop.com/rcs-club-sign-up   Sign up for the Week in Roofing!  https://www.rooferscoffeeshop.com/sign-up   Learn more about Tyelus here! https://www.rooferscoffeeshop.com/directory/tyelus Follow Us!   https://www.facebook.com/rooferscoffeeshop/  https://www.linkedin.com/company/rooferscoffeeshop-com  https://x.com/RoofCoffeeShop  https://www.instagram.com/rooferscoffeeshop/  https://www.youtube.com/channel/UCAQTC5U3FL9M-_wcRiEEyvw  https://www.pinterest.com/rcscom/  https://www.tiktok.com/@rooferscoffeeshop  https://www.rooferscoffeeshop.com/rss  #RoofersCoffeeShop #MetalCoffeeShop #AskARoofer #CoatingsCoffeeShop #RoofingProfessionals #RoofingContractors #RoofingIndustry #Tyelus

Can a single click replace years of tech transfer paperwork? Nikki Bishop, VP of Marketing & Experience at Emerson , reveals how AI‑driven digitization could slash delays for pharma, biotech, med‑tech, and other regulated manufacturers.-------------------------Episode Sponsor: Emerson is a global leader in automation technology and industrial software, providing innovative solutions that help life sciences manufacturers optimize operations, enhance efficiency, and ensure regulatory compliance. With a focus on digital transformation, Emerson enables smarter, data-driven decision-making to drive productivity, quality, and sustainable growth in highly regulated industries.-------------------------Want to stay current with the latest GxP trends? Join our free, enlightening certification webinars at ⁠www.qualistery.com⁠.-------------------------For guest or sponsorship inquiries, contact us at info@qualistery.com.-------------------------

Cheap stocks in the market. $AMZN is one and there are more. But the market does need a rest at some point. ⁠⁠⁠The Seeking Alpha Summer sale⁠⁠⁠ continues with HUGE savings. Don't miss it - there are only 2 per year with discounts off what they normally provide. You'll have to wait until December to get the next one. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠SIGNAL STACK LINK⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ --INCLUDED WITH TRENDSPIDER - GET YOUR PORTFOLIO ANALYZED BY SIDEKICK FORMULA - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alpha Picks + Seeking Alpha Premium ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠+ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Trendspider and Sidekick⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - PERFECT TOGETHER! THESE SALES END SOON: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TRENDSPIDER - get my 4 hour algorithm included on any annual plan.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Seeking Alpha's SUMMER SALE ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠*BEST DEAL - SEEKING ALPHA BUNDLE - Save over $250 and get Premium and Alpha Picks together ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- EXTRA $100 OFF ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ALPHA PICKS - Want to Beat the S&P? Save $124⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ EXTRA $74 OFF⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Seeking Alpha Premium ONLY - FREE 7 DAY TRIAL ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠SEEKING ALPHA PRO - SAVE $600 ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠EPISODE SUMMARY

Questions? Thoughts? Send a Text to The Optometry Money Podcast! We'll answer your question on the show.Episode SummaryMost optometrists believe the path to a better bottom line runs through growth — more patients, more marketing, more demand. But what if that's the wrong problem to solve?In this episode, Evon sits down with Dr. Kerry Reeves, owner of Advanced Eye Care in North and South Carolina, to unpack a different way of thinking about practice performance. Drawing on 27 years in optometry — including five years rebuilding systems in post-earthquake Haiti — Kerry makes the case that optometry doesn't have a growth problem, it has a capacity problem. We dig into how systems and bottlenecks shape everything from daily stress to the eventual value of your practice, and why simply adding more patients to a strained system creates pressure instead of progress.What You'll LearnWhy capacity, not growth, is the real constraint for most mature practicesHow to find the "Herbie" — the bottleneck — in your practiceWhat happens when demand increases but your systems don'tWhy handoffs are where practices break under pressureHow over-dependence on the owner creates fragility and lowers practice valueThe four rungs of the "dependency ladder"How a lack of capacity drives stress and burnout for both doctors and staffWhere AI can remove friction in a practice — and where it's overhypedKey Takeaways for OptometristsFor most established practices, the instinct to chase growth misses the real issue. As Kerry puts it, growth without redesign becomes pressure, not progress. A system built to handle 14 patients a day doesn't simply stretch to 22 — it cracks, usually at the handoffs between staff, and the strain shows up as burnout, turnover, remakes, and a worse patient experience. Adding patients before fixing the system tends to surface problems you didn't know you had.There's a direct line between systems and practice value, too. The more a practice depends on the owner to solve every problem and make every decision, the more fragile — and less valuable — it becomes to any future buyer. Building a practice that runs well without you isn't just about reducing daily stress; it's one of the most meaningful things you can do for both the value and the resilience of the business. The work is ongoing: as Kerry notes, the bottleneck never stays in one place, so finding and fixing "Herbie" is a continuous process, not a one-time fix.Resources for OptometristsConnect with Dr. Kerry Reeves on LinkedInEyeCoin Patient Interaction PlatformThe Goal by Eliyahu Goldratt — the systems book referenced in the episodePodcast Ep 160: How to Maximize Your Optometry Practice Value Before You Sell with Erich MatteiPodcast Ep 157: The Location-Independent OD: Compensation, Licensing & the Future of Remote Care with Crystal Edison, ODPodcast Ep 164: Planning Your Practice Exit – The Retirement Math That Sets the FloorWant a more proactive approach to your planning?You can schedule a no-commitment introductory call to discuss what's on your mind financially and learn how we help optometrists navigate those same decisions nationwide.

In Episode 12 of Season 7 of Driven by Data: The Podcast, Kyle Winterbottom was joined by Justin Borgman, Co-Founder and CEO of Starburst, where they discuss why the biggest barrier to AI success is no longer about models.The conversation explores why traditional approaches to data architecture are struggling in the AI era, how enterprises can overcome fragmented data estates, the importance of context and semantics, why many organisations remain stuck in pilot mode, rising AI costs, build versus buy decisions, agentic AI, and what the next three to five years of enterprise AI adoption are likely to look like, which includes;Why the vision of centralising all enterprise data into a single platform has never truly reflected reality.Why the AI industry's obsession with model selection is increasingly distracting organisations from the real challenges.How advances in foundation models are rapidly commoditising model performance and shifting attention elsewhere.What the true bottlenecks to AI adoption actually are.Where the clearest examples of AI delivering measurable value are today.Why many organisations remain trapped in POCs despite significant investment and executive attention.How the lack of context and semantic understanding continues to limit the effectiveness of AI in enterprise environments.Why trust, meaning and business context matter as much as access to data itself.Why AI success depends on; data foundations, analytics performance, enterprise context and trusted agentic interfaces.Why rising AI costs are becoming one of the biggest concerns for enterprise leaders and CFOs.Why data products are emerging as a practical solution for creating AI-ready context across the enterprise.Why separating context from physical data location creates more flexible and scalable architectures.Why executives are increasingly expecting answers rather than reports and dashboards.Why organisations should be building differentiated business capabilities rather than core platform infrastructure.How businesses that feel behind are often closer to the market than they realise.What the next three to five years could look like as AI becomes embedded into every major business function.Thanks to our sponsor, Data & AI Literacy Academy.Data & AI Literacy Academy is leading the way in transforming enterprise workforces with data literacy across the organisation, through a combination of change management and education. In today's data-centric world, being data literate is no longer a luxury, it's a necessity.If you want successful data product adoption, and to keep driving innovation within your business, you need to start with data & AI literacy first.At Data & AI Literacy Academy, they don't just teach data skills. They empower individuals and teams to think critically, analyse effectively, and make decisions confidently based on data. They're bridging the gap between business and data teams, so they can all work towards aligned outcomes.From those taking their first steps in data & AI literacy to seasoned experts looking to fine-tune their skills, our data experts provide tailored classes for every stage. But it's not just learning tracks that they offer. They embed a deep data culture shift through a transformative change management programme.They take a people-first approach, working closely with your executive team to win the hearts and minds. We know this will drive the company-wide impact that data teams want to achieve.Get in touch and find out how you can unlock the full potential of data in your organisation. Learn more at www.dl-academy.com.

The twin pressures of vulnerable energy supply and rising power demand are making energy security a durable investment theme. Hugo Liebaert, Sustainable Investment and Research Analytics at the BlackRock Investment Institute, explains where opportunities are emerging around critical energy bottlenecks.General disclosure: This material is intended for information purposes only, and does not constitute investment advice, a recommendation or an offer or solicitation to purchase or sell any securities, funds or strategies to any person in any jurisdiction in which an offer, solicitation, purchase or sale would be unlawful under the securities laws of such jurisdiction. The opinions expressed are as of the date of publication and are subject to change without notice. Reliance upon information in this material is at the sole discretion of the reader. Investing involves risks. BlackRock does and may seek to do business with companies covered in this podcast. As a result, readers should be aware that the firm may have a conflict of interest that could affect the objectivity of this podcast.In the U.S. and Canada, this material is intended for public distribution.In the UK and Non-European Economic Area (EEA) countries: this is Issued by BlackRock Investment Management (UK) Limited, authorised and regulated by the Financial Conduct Authority. Registered office: 12 Throgmorton Avenue, London, EC2N 2DL. Tel:+ 44 (0)20 7743 3000. Registered in England and Wales No. 02020394. For your protection telephone calls are usually recorded. Please refer to the Financial Conduct Authority website for a list of authorised activities conducted by BlackRock.In the European Economic Area (EEA): this is Issued by BlackRock (Netherlands) B.V. is authorised and regulated by the Netherlands Authority for the Financial Markets. Registered office Amstelplein 1, 1096 HA, Amsterdam, Tel: 020 – 549 5200, Tel: 31-20- 549-5200. Trade Register No. 17068311 For your protection telephone calls are usually recorded.For Investors in Switzerland: This document is marketing material.In South Africa: Please be advised that BlackRock Investment Management (UK) Limited is an authorised Financial Services provider with the South African Financial Services Board, FSP No. 43288.In Singapore, this is issued by BlackRock (Singapore) Limited (Co. registration no. 200010143N). This advertisement or publication has not been reviewed by the Monetary Authority of Singapore. In Hong Kong, this material is issued by BlackRock Asset Management North Asia Limited and has not been reviewed by the Securities and Futures Commission of Hong Kong. In Australia, issued by BlackRock Investment Management (Australia) Limited ABN 13 006 165 975, AFSL 230 523 (BIMAL). This material provides general information only and does not take into account your individual objectives, financial situation, needs or circumstances. Before making any investment decision, you should assess whether the material is appropriate for you and obtain financial advice tailored to you having regard to your individual objectives, financial situation, needs and circumstances. Refer to BIMAL's Financial Services Guide on its website for more information. This material is not a financial product recommendation or an offer or solicitation with respect to the purchase or sale of any financial product in any jurisdictionIn Latin America: this material is for educational purposes only and does not constitute investment advice nor an offer or solicitation to sell or a solicitation of an offer to buy any shares of any Fund (nor shall any such shares be offered or sold to any person) in any jurisdiction in which an offer, solicitation, purchase or sale would be unlawful under the securities law of that jurisdiction. If any funds are mentioned or inferred to in this material, it is possible that some or all of the funds may not have been registered with the securities regulator of Argentina, Brazil, Chile, Colombia, Mexico, Panama, Peru, Uruguay or any other securities regulator in any Latin American country and thus might not be publicly offered within any such country. The securities regulators of such countries have not confirmed the accuracy of any information contained herein. The provision of investment management and investment advisory services is a regulated activity in Mexico thus is subject to strict rules. For more information on the Investment Advisory Services offered by BlackRock Mexico please refer to the Investment Services Guide available at www.blackrock.com/mx©2026 BlackRock, Inc. All Rights Reserved. BLACKROCK is a registered trademark of BlackRock, Inc. All other trademarks are those of their respective owners.BII0626-5595004-EXP0627

The 7 and 8 Figure Agency Bottlenecks Nobody Warns You About Crossing seven figures feels like the finish line. But for most agency owners, it is where a whole new set of challenges begins. Growth slows down, the team starts to strain, and it is not always obvious why. The bottlenecks between one million and ten million look completely different [...] The post The 7 and 8 Figure Agency Bottlenecks Nobody Warns You About appeared first on Seven Figure Agency.

In this episode, Jason dives into how optimizing systems continuously uncovers new constraints, using the Super PM Bootcamp as a real-world example. He explains that even highly standardized processes will reveal new bottlenecks as improvements are implemented, following the law of bottlenecks described by Nicholas Modig and Eli Goldratt. What you'll learn in this episode: How standardization in training and processes uncovers new bottlenecks. Why identifying one constraint leads to discovering the next. The role of tools, pre-planning, and team orientation in system optimization. How continuous improvement keeps high-performing systems evolving. Why even mature programs like Super PM Bootcamp continue to find opportunities for growth. Are you optimizing your systems effectively or missing the hidden constraints that could elevate your team to the next level?   If you like the Elevate Construction podcast, please subscribe for free and you'll never miss an episode. And if you really like the Elevate Construction podcast, I'd appreciate you telling a friend (Maybe even two

As AI infrastructure scales up, the conversation is moving beyond graphic processing units (GPUs). Faster compute creates new pressure on the data layer, and companies are increasingly focused on whether their infrastructure can move, manage, protect and deliver data fast enough to keep AI systems productive. In this episode of Tech Disruptors, Bloomberg Intelligence analyst Woo Jin Ho speaks with Alex Bouzari, CEO of DDN, about the company's role in AI data infrastructure, the shift from storage to broader data platforms, DDN's high-performance computing heritage, its work with Nvidia and the business-model changes taking shape as AI moves from experimentation to production.

In this episode of Better Business, Better Life, Debra Chantry-Taylor & Adam Harris explore why Visionaries can become bottlenecks, and what leaders can do to break free from the behaviours that hold their businesses back. Drawing on their experience as EOS® Implementers, Debra & Adam unpack the powerful relationship between Visionary & Integrator leadership styles, including why clarity, trust, self-awareness & healthy conflict are essential for long-term business growth. They discuss one of the most common challenges entrepreneurs face: letting go. Many Visionaries know they need to step back from day-to-day operations, but fear, control, past experiences or a love of chaos can keep them involved in areas where they no longer add the most value. The conversation explores why Visionaries need a strong sounding board, how the “golden penny” problem pulls leaders away from priorities, and why a clear vision is very different from simply having lots of ideas. Listeners will also gain practical insights into strengthening Visionary & Integrator partnerships, improving leadership alignment, and creating a business that can grow without being dependent on one person. CONNECT WITH DEBRA:    ___________________________________________         ►Debra Chantry-Taylor is a Certified EOS Implementer | Entrepreneurial Leadership & Business Coach | Business Owner ►Connect with Debra: debra@businessaction.com.au ►See how she can help you: https://businessaction.co.nz/ ___________________________________________       GUEST'S DETAILS: ► Adam Harris – LinkedIn: https://www.linkedin.com/company/adam-harris-eos/ ► Website – EOS Worldwide: https://www.eosworldwide.com/adam-harris Episode 276 Chapters:   00:00 – Introduction 00:34 – Understanding the Visionary and Integrator Roles 05:30 – Defining the Visionary and Integrator Roles 11:18 – Challenges of Being a Visionary 27:15 – Balancing Visionary and Integrator Roles 30:07 – Identifying Great Ideas vs Distractions 41:40 – Overcoming Common Pitfalls 41:58 – Building a Strong Visionary–Integrator Relationship 51:24 – Addressing Relationship Issues 53:55 – Tools and Resources for Visionaries

Jacob Burke is the founder of Mijasu, an interdisciplinary group of design practices focused on people‑centred outcomes across the built environment. With more than 25 years' experience in the Australian market, his career was shaped by humble beginnings in a family business and a hands-on experience through design, delivery and business leadership. He established Mijasu in 2019 as a parent company designed to acquire, integrate and scale high‑quality design practices within a unified operating model. In this interview, Jacob talks about the major emphasis of his company's focus - streamlining the back‑end of design businesses, simplifying systems, centralising shared services, and removing inefficiencies to create operational leverage and a platform for sustainable growth. 

What happens when a company focused on drug discovery and life sciences encounters a data problem that nobody else seems able to solve? Recorded at the IT Press Tour in Boston, this episode explores the fascinating story behind Paradigm4 and how a challenge in large-scale biomedical research ultimately led to the creation of flexFS, a cloud-native filesystem designed to tackle some of today's biggest data infrastructure challenges. Joining me on the podcast is David Freund from Paradigm4, who shares how the company was originally founded to help scientists work with enormous datasets in fields such as genomics, bioinformatics, and precision medicine. As researchers began working with population-scale datasets such as the UK Biobank, the team discovered that existing storage technologies either couldn't deliver the performance they needed, lacked the functionality required, or became prohibitively expensive at scale. Our conversation explores the moment Paradigm4 realized it would need to build its own solution, why traditional approaches to cloud storage often struggle under modern analytics workloads, and how flexFS emerged from a real-world customer problem rather than a technology trend. David also explains why object storage has become such an attractive foundation for modern infrastructure, while discussing the challenges of latency, performance, and cost that still need to be addressed. We also discuss why many organizations investing heavily in AI infrastructure may be overlooking one of the biggest constraints on performance. While much of the industry conversation focuses on GPUs and compute power, David argues that data access, movement, and management are becoming equally important considerations as AI workloads continue to grow. Along the way, we touch on cloud independence, resilience, large-scale analytics, and why flexibility across cloud providers is becoming an increasingly important requirement for enterprise technology leaders. Whether you're working in AI, life sciences, cloud infrastructure, or enterprise data management, this episode offers an interesting perspective on how customer problems can sometimes lead to entirely new categories of technology. Could the next major AI bottleneck be data rather than compute? And are organizations paying enough attention to the infrastructure feeding their most important workloads? I'd love to hear your thoughts.

Oracle's earnings results made one thing abundantly clear, the spending rate for data centers and AI infrastructure isn't slowing down any time soon. While the market didn't respond too favorably to the announcement it was increasing its capital spending for the upcoming fiscal year, there is likely a long list of companies that will benefit. We dig into some of the bottlenecks and pinch points of this massive buildout. Plus, why do international stocks trade at such a discount to American ones? Tyler Crowe, Matt Frankel, and Jon Quast discuss: - Oracle's earnings results and capital spending plans - Is Oracle's backlog and spending plans connected to the Anthropic and OpenAI IPOs? -Identifying some pinch points of AI buildout - Question: Why do European stocks trade at a discount to the US market Companies discussed: ORCL, TSLA, PDFS, LRCX, KLAC, ASML, PLD, VWDRY, GEV, STLA, RACE, CNH, PHG, NBCLF, AJINF, VYMI, BRK Host: Tyler Crowe Guests: Matt Frankel, Jon Quast Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Database branching has, for a long time, been a troublesome piece in the modern developer workflow puzzle: a good idea in principle but in practice a slow and often expensive challenge. Get it right and you can accelerate productivity and remove bottlenecks; get it wrong and you're potentially creating all sorts of trouble for yourself, from privacy risks to additional complexity. However, things are changing. Thanks to the emergence of new platforms such as Neon, Supabase and Databricks Lakebase, branching a database can become as familiar to developers as managing code branches and multiple environments with, say, Git and Terraform.  On this episode of the Technology Podcast, host Ken Mugrage is joined by his Thoughtworks colleague Cam Casher and Databricks' Kevin Hartman to discuss the work Thoughtworks and Databricks have been doing together on Lakebase. They discuss the platform, their experience using it with Spotify's Backstage and the opportunities database branching can offer software engineering teams in an increasingly AI-assisted and agentic world. Read Cam and Kevin's recent series on using Databricks Lakebase with Backstage: https://www.thoughtworks.com/insights/blog/data-engineering/backstage-lakebase-databricks

In this latest episode of Brains and Machines, Dr. Patty Stabile of the Eindhoven University of Technology chats with us about  her optical neural networks with ultra-low-latency processing, and the semiconductor optical amplifiers that make them possible. Discussion follows with Dr. Giulia D'Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.

Polar Capital Technology Trust (PCT) is one of the most popular and best-performing tech-focused funds available to DIY investors, having built up its record and fan base long before the likes of AI and ‘Magnificent Seven' became everyday terms. And deputy manager Ali Unwin has been part of that story since 2021, helping investors access the best and brightest, and yet-to-be-discovered names in the tech world.Val Cipriani sits down with Ali to discuss the fund's approach in the changing AI space, how to go find the right companies when traditional ways to value stocks are stretched, a world beyond the likes of Nvidia, and plenty more.Investors' Chronicle has supported private investors in the UK for over 160 years by highlighting rewarding investment opportunities. Investors' Chronicle is a service by the Financial Times. Hosted on Acast. See acast.com/privacy for more information.

In this episode of Contract Heroes, hosts Marc and Pepe welcome back Laurie Ehrlich, a legal leader who has navigated the full spectrum of the industry, from steering the "battleship" at global enterprises to leading a lean startup through a major acquisition. Laurie shares her whirlwind journey as the former Chief Legal Officer at Dioptra and her current role at Icertis following their acquisition of the startup in late 2025. She provides an insider's look at how Dioptra's agentic AI tools are being rebranded as Vera Engage and integrated into the Icertis suite to revolutionize contracting efficiency.

In this episode, Simon, Braden, and Daniel break down the AI boom from multiple angles: whether today’s market resembles the dot-com bubble, why demand for compute, electricity, and data keeps accelerating, and where the biggest bottlenecks are starting to appear. They also discuss how AI could reshape the job market, why companies may eventually need to “right-size” their AI usage, and whether cheaper models could become a major theme in the years ahead. The conversation then shifts to Canada’s economic challenges, including weak GDP growth, poor consumer sentiment, declining incentives for entrepreneurs, and why Canada risks losing more talent and high-growth companies to the U.S. Tickers of stocks discussed: NVDA, TSM, MU, MSFT, META, GOOGL, AMZN, ORCL, PWR, RBNK, SHOP Watch the full video on Our New Youtube Channel! Check out our portfolio by going to Jointci.com Our Website Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense.See omnystudio.com/listener for privacy information.

Disclaimer: Today's episode is sponsored by Gelt. Content is for educational purposes only. Not advice. Results discussed have not been vetted. Claims made by the guest have not been verified. The views expressed by the guest do not reflect those of the host or this show.—

AMSC (AMSC) CEO Daniel McGahn talks about the company's latest earnings and the role it plays in the AI energy bottleneck. He walks investors through the "one-two punch" ASMC takes to expand power grid opportunities. Daniel notes ASMC's lack of debt and "portfolio solution" in energy supply as key reasons he sees the company scaling vastly in the future.======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Elor Kahalany believes AI investments are moving from the hyperscalers to bottlenecks. Just turn to Micron's (MU) rally driven by memory demand as an example. He points out how investors can find bottlenecks in the AI trade and highlights stocks he believes have room to run, from Mag 7 names like Alphabet (GOOGL) to beaten down software stocks like ServiceNow (NOW). Elor raises eyebrows when he points to Hims & Hers (HIMS) as an unsung AI company. ======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

If your year is not where you want it to be, the game is not over. You just need to make the right adjustments. In this episode of Best Agent Hacks, I breaks down the five biggest bottlenecks holding real estate agents back right now: * Not enough people in your pipeline * Not knowing what to say * Client uncertainty * Feeling too busy to generate business * Blaming a “tough market” I share how to fix each one with daily conversations, better scripts, local market data, follow-up, motivation questions, and a smarter time audit.

In this episode of InSights, Brad Bialy sits down with Greg Fischer to unpack why most offshore hiring fails before it even begins and how the best staffing firms use global talent to remove bottlenecks, increase trust, and scale without burning out their team. About the Guest Greg Fischer is the founder of Well Oiled Machine and former CEO of AMI Network, where he scaled the business to $4.2M in gross profit with nearly half the team based outside the U.S. After spending 18 months failing to make offshore hiring work, Greg developed a repeatable framework for building integrated global teams across recruiting, sourcing, operations, and sales. Today, he helps staffing firms avoid the costly mistakes most agencies repeat when trying to scale with international talent. Key Takeaways Clarity scales faster than hustle. Cheap labor becomes expensive leadership. Trust creates performance. Bottlenecks don't disappear — they relocate. Great teams aren't divided by geography. Timestamps [00:01] – Finding the real bottleneck [01:22] – Why hustle stops working [02:02] – The utility-player trap [04:11] – Why offshore hires fail twice [05:09] – Process problem or people problem? [07:18] – Can recruiters fund this themselves? [08:59] – What elite firms do differently [09:54] – Killing the “us vs. them” mindset [11:51] – Is AI replacing offshore talent? [17:53] – Holding everyone to the same standard [21:52] – Why screen monitoring backfires [25:17] – Hire right. Then lead right. About the Host Brad Bialy is a trusted voice and highly sought-after speaker in the staffing and recruiting industry, known for helping firms grow through integrated marketing, sales, and recruiting strategies. With over 13 years at Haley Marketing and a proven track record guiding hundreds of firms, Brad brings deep expertise and a fresh, actionable perspective to every engagement. He's the host of Take the Stage and InSights, two of the staffing industry's leading podcasts with more than 250,000 downloads. Sponsors InSights is presented by Haley Marketing. For a limited time, we're offering 50% off a brand new staffing website. Just message Brad Bialy on LinkedIn and mention the Crazy Website Promo. Book a 30-minute business and marketing consultation with host, Brad Bialy: https://bit.ly/Bialy30

Join dental entrepreneurs George Hariri, Matt Guarino, and Matt Ford as they break down the realities of running their national DSO, Shared Practices Group. They tackle the triumphs and tribulations of scaling a business, answer your burning questions (submit yours at bdppod.com), and delve into life's other adventures - from health and parenting to sports and politics. It's business, banter, and everything in between. Tune in and join the BDP community today!

On this episode of Alexa's Input (AI), I sit down with Emilio Andere, co-founder and CEO of Wafer, to talk about the future of AI infrastructure, inference optimization, and the economics driving the AI compute race.We discuss:why “intelligence per watt” may become one of the defining metrics of the AI erathe current GPU and accelerator landscape across NVIDIA, AMD, TPUs, and emerging hardware startupswhy software optimization is becoming just as important as hardware itselfinference optimization strategieswhy AI infrastructure companies are racing up the stackwhat it's actually like building an AI infrastructure startup todayand more!Emilio also shares lessons from founding Wafer, thoughts on the future of open-source AI infrastructure, and why he believes optimizing intelligence itself could become one of the most important engineering problems.General Podcast LinksWatch: ⁠⁠⁠⁠⁠⁠https://www.youtube.com/@alexa_griffith⁠⁠⁠⁠⁠⁠Read: ⁠⁠⁠⁠⁠⁠⁠⁠https://alexasinput.substack.com/⁠⁠⁠⁠⁠⁠⁠⁠Listen:⁠⁠ ⁠⁠https://creators.spotify.com/pod/profile/alexagriffith/⁠⁠⁠⁠More: ⁠⁠⁠⁠⁠⁠https://linktr.ee/alexagriffith⁠⁠⁠⁠⁠⁠Learn more about the host atWebsite: ⁠⁠⁠⁠⁠⁠https://alexagriffith.com/⁠⁠⁠⁠⁠⁠LinkedIn: ⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/alexa-griffith/⁠⁠⁠⁠⁠⁠Find out more about the guest at:LinkedIn: https://www.linkedin.com/in/emi-andere/Wafer Website: https://www.wafer.ai/Wafer AI / Y Combinator Article: https://www.ycombinator.com/companies/waferChapters00:00 Exploring AI Conversations and Recent Podcasts02:14 Intelligence per Watt: A New Metric for AI07:35 The Manifesto: Efficiency in Civilization12:40 Founding Wafer: The Journey Begins18:08 The GPU Hardware Landscape and Market Dynamics23:07 AMD's Growing Presence in the GPU Market24:07 Emerging Competitors in the AI Hardware Space26:04 Comparing TPUs and GPUs27:21 Acquisition and Availability of TPUs28:33 Navigating the GPU Marketplace30:05 Understanding Neo Cloud Economics33:30 The AI Bubble Debate36:25 Optimizing AI Models for Performance44:46 Bottlenecks in AI Model Performance48:08 Future Directions in AI Hardware Optimization54:39 Balancing Speed and Cost in AI Performance56:54 Kernel Arena: Benchmarking AI Performance01:03:45 Lessons from Founding: Sales and Emotional Resilience01:07:38 The Future of AI: Trends and Predictions01:13:03 Outro KeywordsAI hardware, inference optimization, intelligence per watt, GPU market, AI infrastructure, Wafer, AI bubble, TPU, GPU bottleneck, AI efficiency AI optimization, large language models, AI hardware, quantization, speculative decoding, benchmarking, AI infrastructure, model training, AI startups

Are you unknowingly becoming the biggest bottleneck in your own practice? What happens when your business depends too heavily on you to function? Why should clinicians choose your group practice […] The post Group Practice Conference Part 2: Leadership Bottlenecks | GP 328 appeared first on How to Start, Grow, and Scale a Private Practice | Practice of the Practice.

Adam Spector, founder of Chore, four-time entrepreneur, and startup investor, joins Jerome Myers for a conversation about building in a world where the tools are moving faster than most people can process. From San Francisco's AI boom to the rising bar for young professionals, Adam shares why speed, focus, and delegation have become critical advantages for founders. He explains why entrepreneurs often become the “janitor” of their own companies, handling payroll, HR, finance, compliance, and other back-office work that pulls them away from the work only they can do. Jerome and Adam also explore AI's impact on jobs, education, startup investing, and founder behavior. Adam offers a clear challenge to business owners and ambitious professionals: stop waiting for permission, start building proof, and protect your most valuable resource: time. This episode is for founders, operators, investors, and professionals who want to understand what it takes to compete in the age of AI without losing sight of the life they are trying to build. In this episode: Why San Francisco remains the center of the AI boomHow AI is raising the bar for founders and job seekersWhy speed is now a strategic advantageWhat Adam looks for when investing in foundersWhy founders get trapped doing low-leverage workHow Chore helps entrepreneurs delegate back-office operationsWhy proof of work matters more than a polished resumeThe real cost of spending your time on the wrong thingsWhy the gatekeepers are gone Guest: Adam SpectorAdam Spector is a four-time founder, startup investor, and founder of Chore. Based in San Francisco, Adam has invested in roughly 200 startups and helps entrepreneurs protect their time by delegating the back-office work that slows them down. Connect with Adam:Website: HireChore.comLinkedIn: Adam Spector, Founder of ChoreX: @ASPEC00 Your dreams should be real. Learn more about your ad choices. Visit megaphone.fm/adchoices

If you've crossed (or are approaching) that $1M mark in your practice, you've probably realized something… growth doesn't get easier—it just gets different. In this episode, I'm joined by Joshua Brummel from Therapy Flow to talk about the hidden bottlenecks that show up as you scale from $1M to $3M and beyond. These aren't the obvious problems you solved early on, they're the behind-the-scenes issues that quietly slow your growth, shrink your profit, and stretch your capacity as a CEO. We're breaking down what's really going on and what you need to focus on to keep moving forward.3 Reasons to ListenYou'll understand why growth starts to feel harder (even when things are “working”). Hitting $1M doesn't mean you've figured it all out, it means you're entering a new level with new challenges.You'll learn the bottlenecks that are most likely costing you time, money, and sanity. From clinician churn to lack of systems, these are the issues we see over and over again in growing practices.You'll start thinking like a CEO, not just a practice owner. Scaling requires a shift in how you spend your time, make decisions, and lead your business.Links and Resources MentionedGroup Practice Con (Sept 10–11, Chicago): https://grouppracticecon.comTherapy Flow: https://mytherapyflow.comMoney for Therapists Practice Startup - https://www.greenoakaccounting.com/startupGreenOak Accounting - www.GreenOakAccounting.comTherapy For Your Money Podcast - www.TherapyForYourMoney.comProfit First for Therapists - www.ProfitFirstForTherapists.comProfit First Academy - www.ProfitFirstForTherapists.com/AcademyWatch Therapy For Your Money on YouTube: Watch on YouTubePodcast Production, Audio Mixing, and YouTube Video Production by James Marland

Asher Genoot is the CEO of Hut 8, one of the largest bitcoin mining and AI/HPC infrastructure companies in the world. In this conversation, we discuss the transition from bitcoin mining to AI data center development, the economics of $17 billion in contract value, community pushback against data centers, supply chain bottlenecks, and the future of physical intelligence infrastructure.=====================Simple Mining makes Bitcoin mining simple and accessible for everyone. We offer a premium white glove hosting service, helping you maximize the profitability of Bitcoin mining. For more information on Simple Mining or to get started mining Bitcoin, visit https://www.simplemining.io/pomp=====================Award-winning Fountain Life - Energy supercharged. Memory sharper. Life extended. Ready for the best investment you'll ever make? Schedule a life-changing call at http://fountainlife.com/pompGet $1,000 off the cost of a life-changing membership with Fountain Life when you schedule a call at https:www.http://fountainlife.com/pomp=====================Arch Public is an agentic trading platform that automates the buying and selling of your preferred crypto strategies. Sign up today at https://www.archpublic.com and start your automated trading strategy for free. No catch. No hidden fees. Just smarter trading.=====================0:00 - Intro0:45 - Bitcoin mining to AI: the transition3:09 - Data centers & community pushback8:52 - Co-location & energy campuses 11:42 - Mega sites vs. smaller urban campuses13:08 - Hardware innovation inside the data center17:15 - How Hut 8 lands billion-dollar contracts20:01 - The River Bend financing structure24:19 - Build vs. acquire strategy25:18 - Bottlenecks slowing AI buildout27:36 - What keeps Asher up at night30:40 - American Bitcoin update

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

In this episode, Michael shares details from a major internal platform shift at work, including the decision to completely remove an underused public JSON API and rebuild integrations around real customer needs instead of hypothetical use cases. The conversation dives deep into Laravel Passport, Sanctum, OAuth flows, request authorisation, and some tricky edge cases around testing authenticated APIs.Jake then broadens the conversation into AI infrastructure, local model hosting, security implications of autonomous AI systems, NVIDIA hardware demand, and the future potential of photonic processors as a solution to the growing power and cooling bottlenecks facing AI workloads.Show linksLaravel PassportLaravel SanctumLaravel Passport actingAs testing helpersPHP enumsPHPStanLarastanZapierClaudeNVIDIA DGX systemsPhotonic processors

In day two of The Next Step Series, I'm breaking down the three bottlenecks that hold bookkeepers back from starting or scaling, because people can have similar opportunities and still have very different outcomes, and that is not random. In this episode, I walk through the belief bottleneck, the skill bottleneck, and the scalability bottleneck, and I help you identify which one may be standing in your way right now. We talk about why everything starts with belief, why confidence is built on competence, and why what feels like imposter syndrome may actually be a closable skill gap. I also share why efficiency plus accuracy equals profit and why so many bookkeepers plateau when they build a job instead of a business that can scale. I also share what we'll be diving into in the next steps of this free live series for bookkeepers. If you've been thinking about starting or growing your bookkeeping business but keep finding yourself stuck, second-guessing, or overthinking your next move, this one's for you.   EPISODE RESOURCES: If you want to take the next step, go to katieferro.com/step. Sick of imposter syndrome keeping you stuck? Join the new + improved BECOME A BOOKKEEPER now: https://www.katieferro.com/become  Learn how to take your bookkeeping skills and turn them into a business that can replace or surpass your corporate salary, give you more presence in your life, and let you support your clients without burning out inside Life by the Books (LIBBY): https://www.katieferro.com/life   CONNECT WITH KATIE: Want to get notified when I'm about to go live? Subscribe to the Profits and Prosecco YouTube Channel: https://www.youtube.com/@profitsandprosecco Website: https://www.katieferro.com/ For first dibs (and the best prices!) on new offers from me, follow me on Instagram, then subscribe to my email list:  IG: www.instagram.com/orderlyaccountingbykatie Email Opt In: www.katieferro.com/email

When disaster leaves only a handful, can a civilization restart? We explore genetic bottlenecks, colony failure, and the limits of survival.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Surviving a New Ice Age: https://nebula.tv/videos/isaacarthur-surviving-a-new-ice-ageCheck out Practical Engineering: https://nebula.tv/practicalconstruction?ref=isaacarthur

When disaster leaves only a handful, can a civilization restart? We explore genetic bottlenecks, colony failure, and the limits of survival.Get Nebula using my link for 50% off an annual subscription: https://go.nebula.tv/isaacarthurWatch my exclusive video Surviving a New Ice Age: https://nebula.tv/videos/isaacarthur-surviving-a-new-ice-ageCheck out Practical Engineering: https://nebula.tv/practicalconstruction?ref=isaacarthur