Podcasts about Throughput

What happens after a patient leaves the emergency department is often where performance is won, or lost. This episode features a presentation from the recently held ROI-Centered Care Summit, a half-day virtual summit produced by Bright Spots Ventures in partnership with TytoCare and the American Telemedicine Association (ATA). In this episode, Albert Villarin, MD, MBA, FACEP, VP & Chief Medical Information Officer at Nuvance Health, shares how his team redesigned the ED follow-up model to reduce avoidable returns, improve patient experience, and shorten length of stay, by rethinking discharge as the start of a coordinated, end-to-end process. Rather than treating discharge as a handoff, Nuvance built an integrated model that connects workflows across clinical teams, patient communication, and technology, ensuring patients not only receive instructions, but understand and act on them. You'll hear how Nuvance Health: Builds a connected follow-up model across the full patient journey, from admission through post-discharge touchpoints  Uses automated outreach, education, and callback workflows to close care gaps after ED visits  Embeds language access and fully translated discharge instructions into core workflows to improve safety and reduce readmissions  Standardizes discharge processes to ensure consistency and reliability at scale Leverages AI and automation (including ambient listening and documentation support) to reduce clinician burden while improving patient understanding  Key topics covered: Why many ED return visits are driven by breakdowns after discharge, not during care delivery Discharge as a system, not an event Closing the loop after ED visits to reduce unnecessary utilization Reducing variation in patient communication and follow-up The role of language access as a clinical and operational lever Using automation to scale reliable, repeatable care processes If you're a health system leader, emergency medicine executive, or operations leader working to reduce avoidable utilization, improve throughput, and deliver more consistent patient experiences, this episode offers a practical, system-level blueprint grounded in real-world execution. Link to Dr. Villarin's Presentation: https://www.brightspotsinhealthcare.com/wp-content/uploads/2026/05/ROI-Centered-Care-Summit-2026.pdf Bio: Dr. Albert Villarin is a visionary leader in healthcare informatics with over 30 years of experience. As the VP-CMIO at Nuvance Health, he is dedicated to enhancing patient care through innovative technology and data-driven solutions. Dr. Villarin's career spans roles as a Board-Certified Emergency Medicine Physician, Clinical Informatics expert, and retired US Army Reserve Major. He is currently completing a thesis for a Master of Medical Informatics from Northwestern University and has an MBA with a Specialization in Healthcare Management from Long Island University. Dr. Villarin is committed to advancing healthcare equity and reducing clinician burnout through the responsible use of artificial intelligence and clinical innovation. https://www.linkedin.com/in/albert-villarin-md-mba-facep-1358655/ Thank You to Our Episode Partner, TytoCare. TytoCare enables health systems and plans to deliver high-quality remote exams anytime, anywhere. Their FDA-cleared devices and AI-powered diagnostic platform support virtual specialty care, school-based programs, and home health models, reducing unnecessary ED visits and improving patient experience. To learn more, visit tytocare.com. Schedule a Meeting with a Senior Leader at TytoCare: To explore how TytoCare can help your organization expand virtual specialty access and improve care coordination, reach out to jtenzer@brightspotsventures.com  to schedule a meeting. About Bright Spots Ventures: Bright Spots Ventures exists to help healthcare organizations accelerate the adoption of what's actually working.   Healthcare does not suffer from a lack of innovation. It suffers from slow adoption, fragmented learning, and limited trust between stakeholders. For example, one health plan or provider may solve a major operational or clinical challenge while others spend the next 5–10 years rediscovering the same answer.   We close that gap by creating trusted environments where health plans, providers, and innovators can share practical strategies, operational lessons, and scalable models that drive measurable improvement.   Through the Bright Spots in Healthcare podcast, leadership councils, executive roundtables, curated events, and strategic advisory work, we help organizations build credibility, strengthen strategic relationships, and accelerate the spread of proven ideas across healthcare.  

Most leaders feel capacity tight and immediately start writing a job description. Dave Crysler pushes back on that reflex in this solo episode, drawing on a recent client engagement where synchronizing manufacturing flow more than doubled throughput, cut lead times from weeks to four days, and dropped work-in-process to almost nothing. The team got smaller during this period, not larger, because natural attrition was not backfilled. The capacity was already there, hidden behind a system nobody had ever synchronized. Dave breaks down why the hiring reflex is so strong, why most "capacity problems" are actually synchronization problems wearing capacity problems' clothes, and why the constraint does not migrate between departments on a weekly basis the way most leaders think it does. If your bottleneck has been moving for six to twelve months, that pattern itself is the diagnosis. What You'll Discover: • Why the hiring reflex is older than the problem it tries to solve, and how operations training reinforces a local lens that misses system-level constraints • The three kinds of problems every "capacity-constrained" company actually has, and why synchronization is by far the most common • The bottleneck-chasing trap, and the conversation Dave had recently with a leader who had been moving people around for over a year without ever synchronizing flow • The counterintuitive reality that every touchpoint outside the constraint needs to be deliberately less efficient by design • A real client case where throughput at the control point doubled (and then doubled again) while the team got smaller through natural attrition • What the shop floor feels like when chaos becomes calm, and why the operations leader at this client said "I don't even know what to do. It's so quiet." • The three conditions where hiring really is the right call, instead of synchronizing first • Why this is not a job you can self-diagnose from a book, and what to actually do this week before writing another job description If you are about to write a job description because capacity feels tight, this episode is the conversation worth having first. The lens of experience says you have a hiring problem. The lens of experience is almost always wrong about that.

Peter Merel: AI Alignment Is the Agile Coach's Next Frontier — Using Throughput Accounting and Pull-Based Transformation to Prove Value Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes.   "Our jobs ARE about alignment. Alignment is how do we get all of the people and all of the tools to work together for mutual benefit." - Peter Merel   Peter Merel brings a provocative perspective on the biggest challenge facing agile professionals today: AI and agile alignment. With AI rapidly advancing, Peter observes that everyone in the agile community is afraid for their jobs — but argues this fear is misplaced. The real challenge isn't replacement; it's alignment. How do we get biological and electronic entities to work together for mutual benefit? Peter's answer begins with pull-based transformation — building a thin steel thread from business through to DevOps, proving it works with a small group, then growing it. He connects this to Goldratt's throughput accounting, arguing that throughput (operating expense plus net profit) is the only metric immune to Goodhart's Law. From throughput, Peter derives three flows: value flow (throughput itself), workflow (the first derivative — what increases value flow), and learning flow (the second derivative — what improves workflow). He then introduces the pirate metrics (AARRR) — acquisition, activation, retention, referral, and revenue — as market constraints that can be analyzed through Theory of Constraints. Peter's frustration is that 25 years after Agile began, most business stakeholders still can't identify their market bottleneck. Without that knowledge, he argues, priorities are meaningless. The path forward for agile coaches? Bring scientific rigor to transformation, measure what matters, and prove value before scaling.   In this episode, we refer to FAST Agile, Joe Justice's work with Tesla and WikiSpeed, and the connection between throughput accounting and agile transformation metrics.   Self-reflection Question: Can you identify the single biggest market constraint limiting your organization's throughput right now — and if not, how confident are you that your current priorities are the right ones?   [The Scrum Master Toolbox Podcast Recommends]

Autonomous software development creates a dilemma for leaders in regulated industries: adopt AI coding at scale or fall behind on product velocity without compromising auditability and code quality. In CXOTalk episode 917, Kris Tokarzewski, Group Chief Technology Information Officer at Vitality, describes how a 14,000-employee multinational insurer is rebuilding its software development life cycle around AI. This episode examines the impact of agentic AI on software development in the enterprise.Recorded at Blitzy's headquarters, the conversation examines deterministic code generation, Blitzy's infinite code context, context engineering, test-driven development, and the shifting bottlenecks that surface as throughput accelerates.YOU'LL DISCOVER✅ Why regulated industries require deterministic, auditable code rather than the probabilistic output most AI coding systems generate✅ How Blitzy's infinite code context (ingestion of codebases, engineering standards, and business rules) creates high-quality software aligned with compliance requirements✅ How Vitality reverse-engineers legacy systems with autonomous AI, achieving a measured 5x acceleration over manual methods✅ Why optimizing end-to-end SDLC throughput matters more than local efficiency at any single stage✅ How code review of 50,000 to 100,000-line pull requests becomes the next limiting factor, and how AI reviewers close the gap✅ How test-driven development pairs with autonomous code generation to raise quality and compliance pass rates✅ How the roles of requirements engineers, software engineers, and product teams converge inside an AI-native SDLC✅ How to instrument AI spend against velocity, quality, end-to-end throughput, and customer value rather than isolated gainsTIMESTAMPS0:00 Deterministic code vs. probabilistic AI output0:14 Meet Kris Tokarzewski, Group CTIO of Vitality0:32 Why Vitality is modernizing legacy insurance systems1:30 Event-driven architecture as agentic AI's natural partner3:00 Building an AI-native software development life cycle with Blitzy4:28 Throughput optimization versus local efficiency6:02 Reverse engineering legacy systems and deterministic code generation9:05 Infinite code context: ingesting codebases, standards, and rules10:00 Test-driven development with autonomous code generation10:49 Results: 5x faster legacy reverse engineering13:17 Product, engineering, and DevOps convergence15:04 Roles level up: requirements engineers and software engineers16:18 Reviewing 50,000 to 100,000-line pull requests17:56 Instrumenting AI spend against business outcomes19:16 Executive sponsorship for autonomous development20:16 Advice for CIOs and CTOs adopting AI-driven development

This episode, recorded live at the Becker's 16th Annual Meeting, features Deidre Rolli, RN, MBA, Senior Director of Clinical Partnerships & Growth, myLaurel. Here, she explores how extending acute and post-discharge care into the home can free up hospital capacity, reduce readmissions, and improve patient outcomes through a more connected care journey.This episode is sponsored by myLaurel.

Most organizations think they have a capacity problem. They usually don't.What they have is a work-in-progress problem. And those two things call for very different solutions.In this episode, Peter Maddison and Dave Sharrock dig into one of the most persistent headaches in organizational management: capacity tracking. Why does the instinct to measure utilization backfire? Why does loading people up to 100% actually slow things down? And what should leaders be asking instead?The conversation covers the real cost of context switching, why that "nearly done" project is probably further away than it looks, and how AI is making all of this more urgent, not easier.Three things to take away from this episode:100% utilization is not a goal. It's a warning sign. The right question isn't "how much capacity do we have?" It's "how much work in progress can we actually sustain?AI accelerates your breaking points.If this conversation resonated, there's more where it came from. Peter Maddison and Dave Sharrock explore these kinds of organizational challenges every week on Definitely Maybe Agile - the podcast that gets into the real complexity of modern ways of working, without the buzzwords.Listen wherever you get your podcasts, or visit definitelymaybeagile.com to catch up on past episodes and reach out with your own questions.

AI is everywhere ... except the factory. What does AI-native manufacturing look like? Is it possible? Can AI agents help manufacturers produce more product at better quality?And, maybe also enable onshoring or re-shoring?In this episode, host John Koetsier sits down with Apprentice CEO and founder Angelo Stracquatanio to explore what AI-native manufacturing really means, and why traditional AI models fall short in production environments.Instead of chatbots, this new approach uses event-driven AI agents that respond to real-time manufacturing signals: alarms, equipment data, quality issues, and more. The result? Faster troubleshooting, reduced costs, and entirely new levels of automation.Angelo breaks down how their system combines:* Specialized AI models trained on real manufacturing data* Role-specific agents (for operators, quality teams, engineers, and leadership)* Workflow automation that goes far beyond simple promptsThey also dive into:* Why general-purpose AI struggles in manufacturing* How to eliminate hallucinations with guardrails and workflows* Real-world ROI: faster investigations, lower cost of goods, improved throughput* The future of adaptive factories and personalized production* Why humans remain critical, even in highly automated environmentsIf you're in manufacturing, operations, or industrial innovation, this is a deep look at how AI is actually being deployed ...and where it's headed next.This month's TechFirst sponsor is also Apprentice. Check out their AI-native solutions for manufacturing at Apprentice.io.

In this episode, Rebecca Baute, BSN, RN, Chief Nurse Executive of Northwestern Medicine Palos Hospital, and Brittany Barasa, DNP, RN, Manager of Patient Care for Nursing Throughput and PCT Float Pool, join the podcast to discuss how executive leadership support drives frontline success. They share insights on initiatives like annual nursing skills days, strategies for identifying and managing bottlenecks, the impact of discharge lounges, and approaches to improving patient satisfaction across the care continuum.

In this episode, Rebecca Baute, BSN, RN, Chief Nurse Executive of Northwestern Medicine Palos Hospital, and Brittany Barasa, DNP, RN, Manager of Patient Care for Nursing Throughput and PCT Float Pool, join the podcast to discuss how executive leadership support drives frontline success. They share insights on initiatives like annual nursing skills days, strategies for identifying and managing bottlenecks, the impact of discharge lounges, and approaches to improving patient satisfaction across the care continuum.

The following article of the Mining industry is: “Boosting Mining Throughput: A Strategic and Holistic Approach” by Lorena Montano, Senior Director, Mexico, Ausenco.

Maher Hanafi is an engineering leader who went from zero AI experience to self-hosting LLMs at enterprise scale — managing GPU costs, optimizing inference with TensorRT LLM, and building an AI platform for HR tech. In this conversation, he breaks down exactly how his team cut latency by 70%, reduced GPU spend through counterintuitive scaling strategies, and navigated the messy reality of taking AI from proof-of-concept to production.How We Cut LLM Latency 70% With TensorRT in Production // MLOps Podcast #369 with Maher Hanafi, SVP of Engineering at Betterworks Key topics covered:The AI Iceberg — Why the invisible work behind AI (performance, latency, throughput, cost, accuracy) is harder than building the features themselvesGPU Cost Optimization — How upgrading to more expensive GPUs actually saved money by reducing total runtime hoursTensorRT LLM Deep Dive — Rewiring neural networks to match GPU architecture for 50-70% latency reductionCold Start Solutions — Using AWS FSx, baking models into container images, and cutting minutes off spin-up timesKV Cache & In-Flight Batching — Why using one model per GPU with maximum KV cache beats cramming multiple models togetherScheduled & Dynamic Scaling — Pattern-based scaling for HR tech workloads (nights, weekends, end-of-quarter spikes)Verticalized AI Platform — Building horizontal AI infrastructure that serves multiple HR product verticalsAI Engineering Lab — How junior vs. senior engineers adopted AI coding tools differently, and the cultural shift that followedAgentic Coding in Practice — Navigating AI coding agent costs, quality control, and redefining the SDLCChinese Models & Compliance — Why enterprise customers block DeepSeek/Qwen and the geopolitics of model training dataThis episode is for engineering leaders building AI in production, MLOps engineers optimizing GPU infrastructure, and anyone navigating the gap between AI demos and enterprise-scale deployment.Links & Resources:TensorRT LLM: https://github.com/NVIDIA/TensorRT-LLMNVIDIA Run: ai Model Streamer (cold start optimization): https://developer.nvidia.com/blog/reducing-cold-start-latency-for-llm-inference-with-nvidia-runai-model-streamer/vLLM vs TensorRT-LLM comparison: https://northflank.com/blog/vllm-vs-tensorrt-llm-and-how-to-run-themTimestamps: [00:00] Optimizing GPU Usage and Latency[00:21] Learning AI as Leadership[04:34] AI Cost Centers[13:56] Throughput and Infrastructure Efficiency[18:10] Scaling and Unit Economics[24:14] Championing AI ROI[36:11] Queue to Value Engine[41:30] Failed Product Features[46:12] Agentic Engineering Costs[58:49] AI Self-Hosting in Engineering[1:04:40] Wrap up

G1 is Java's default garbage collector in most environments, and its throughput has been considerably improved in JDK 26 by streamlining its write barriers. This conversation explores the background of that change and dives deep into regions, write barriers, concurrent marking, card tables, and how all that impacts throughput before eventually getting to the improvements made in Java 26, which lay further groundwork to G1 becoming the one and only default collector across _all_ environments. In this "Ask the Architect" episode of the Inside Java Podcast, recorded during JavaOne 2026, Nicolai Parlog talks to Stefan Johansson, Hotspot Garbage Collection engineer at Oracle. For more, check https://inside.java/podcast

BONUS: Why Your Plan Is Lying to You — #NoEstimates, Throughput, and the Superstition of Project Management This episode is a cross-post from The EBFC Show, Felipe Engineer-Manriquez's podcast exploring Lean and Agile in construction. In this conversation, Felipe interviews Vasco about the #NoEstimates movement, throughput-based planning, and why traditional project management is still stuck in the middle ages of managing creative work. The Human Side of Scrum That the Scrum Guide Doesn't Cover "When you go into a daily meeting and you start looking at the people in that room, maybe they are the exact same people that were there yesterday, but the team is totally different. Somebody might have had a bad night's sleep, somebody might have had an argument with their spouse. These are human beings. These are not machines that you can just distribute work to."   Vasco's path to agile coaching started with a realization that most practitioners eventually reach: the problems in software development aren't technological. They're about people — getting agreements, sharing information at the right time, making the collective brain of a team actually function. The Scrum Guide gives you organizing principles — how many meetings, who's in them — but it says almost nothing about the real-time feedback cycle between humans that makes or breaks a team. That's why the Scrum Master role exists: to be the lubricant for human interactions, to break down complex ideas into items the collective mind can process. It's the piece that makes Scrum work, and it's the piece that's hardest to teach. From Project Manager to #NoEstimates — The Bet That Changed Everything "The PM wanted 15 items per sprint, and the team said 'yeah, we can do 15.' I said, this is not gonna happen. The team had been delivering between five and eight items per sprint. I said, I'm gonna be positive — I'm gonna say seven. And no surprise, by the end of the sprint, they delivered seven."   Vasco started as a project manager — and not the easy certification kind. He went through IPMA, which means six months of training, a four-hour written exam, and an expert interview, just for the entry level. Planning and estimating was the job. Then he ran his first Scrum project, specifically to prove it couldn't work. By the second month, he couldn't understand how anything else could work. The team delivered something to show every single sprint — something that never happened with traditional project management. The turning point came when he made a bet with a product manager: the PM needed 15 items per sprint, the team committed to 15, but historical throughput was 5-8 items. Reality delivered seven. That moment crystallized the #NoEstimates insight: we can't fight reality, but we can choose which seven items to deliver. Reality Is a Bitch — Why Linear Predictive Planning Fails "Never believe the plan. Or as in Scarface — never get high on your own supply. It's so unbelievable how project managers still today believe their freaking plans."   At Nokia, Vasco managed a program of 500 people across 100 teams on four continents. No way to get everyone in a room. So he tracked system-level throughput — features delivered to integration per week. Six months into a twelve-month project, the data said they'd be at least six months late. He told the program manager: cut scope now. The program manager did what every PMI-trained program manager does — sent an email asking all 100 teams if they'd deliver on time. Every single team said yes. Nobody wants to be first to admit they're late. Twelve months in, they discovered they were six months late. The project got canceled. 500 people, millions of euros, all because somebody believed the plan. Linear predictive planning is useful for exploring what might be possible if nothing goes wrong. It is not reality. The only tool that reflects reality is throughput — the number of items completed per unit of time. Earned Value Management — George Orwell at His Best "It's not earned, it's spent. It's not value, it's cost. It's not management, it's just observation. Monty Python could not have come up with a better name."   Felipe shares a story that mirrors the absurdity: an industrial project with a dedicated 35-person earned value management department. Before the meeting even started, the department head announced, "Let's all acknowledge that earned value management is more an art than a science." Their charts were made up, the contractor's charts were made up, and the goal of the meeting was to agree that the project would finish on time — regardless of what any data said. This is where traditional project management ends up when it disconnects from throughput: a $30 million scope addition with zero additional time, defended by charts that a mediocre attorney can invalidate in the first week of litigation. Felipe knows — he spent a year being cross-examined by forensic schedulers whose full-time job is proving that construction schedules are fiction. One Small Experiment to Test #NoEstimates "Never convince anyone. Convince yourself. Once you're convinced, whatever other people say, it doesn't really matter because you're not gonna take them seriously anyway."   Here's how to validate throughput-based planning with your own data: take the last 10 sprints (or periods). Calculate the average throughput and control limits from the first five. Then check whether the next five sprints fall within that range. They will. If you're in software and using Jira, you already have this data. You don't need anyone's permission. You don't need to change anything. Just look at what your team actually delivers versus what they planned to deliver. The gap between those two numbers is the gap between superstition and reality. About Felipe Engineer-Manriquez Felipe Engineer-Manriquez is a best-selling author, international keynote speaker, Project Delivery Services Director at The Boldt Company, host of The EBFC Show podcast, and a proven construction change-maker implementing Lean and Agile practices on projects from millions to billions of dollars worldwide. He is a Registered Scrum Trainer™ (RST), Registered Scrum Master™ (RSM), and recipient of the Lean Construction Institute Chairman's Award. His book Construction Scrum is the first practical guide for applying Scrum in construction.   You can link with Felipe Engineer-Manriquez on LinkedIn.

In this episode, Shana Palmieri, LCSW, Co-Founder of XFERALL, discusses how emergency departments, case management teams, community providers, and behavioral health intake teams can be connected in real time to reduce ED boarding and improve patient flow. She explores how AI-enabled intake technology helps intake departments manage high volumes of referrals more accurately and efficiently—reducing administrative burden, supporting clinicians in operating at the top of their license, and improving access to timely behavioral health care across the U.S.This episode is sponsored by XFERALL.

Pathogen control has long been treated like a trade-off in feed manufacturing—something that slows production, disrupts flow, or only shows up when there's a problem to fix. But what if that assumption is wrong?In this episode, we unpack where that mindset came from and why it persists. More importantly, we shift the conversation from reactive, downstream fixes to a more controlled, upstream approach—where risk is managed before it ever creates disruption.We dig into what it actually looks like to design pathogen control into the system, not bolt it on. From raw material intake through processing and handling, this is about how multiple small decisions across the mill work together to improve consistency without sacrificing throughput.We also get practical on measurement—what to track, how to avoid overcorrecting, and why sampling strategy plays such a critical role in maintaining both control and efficiency.The takeaway: pathogen control doesn't have to be a throughput killer. With the right system design and mindset, it becomes a way to stabilize production, reduce variability, and keep feed moving the way it should.

For many biotech innovators, high-throughput screening platforms promise faster discoveries and streamlined workflows. Yet beneath the surface, the reality is more demanding, requiring hands-on expertise, careful assay design, and a sharp understanding of microbial physiology to avoid mistakes that become expensive to fix downstream.David Brühlmann continues his conversation with Sebastian Blum, Market Development Manager in Europe at Beckman Coulter Life Sciences, who brings a practical, unvarnished perspective to high-throughput screening. Drawing on conversations with startups, pharma, and CDMOs, Sebastian digs into what separates "push-button" automation myths from hard-won bioprocess mastery. From evaluating technical fit to troubleshooting real-world applications, he advocates for a nuanced approach, one focused on fit-for-purpose tools and critical thinking over technology hype.In this episode, we discuss:Practical advice for startups considering systems like the BioLector XT Microbioreactor, including the need for technical expertise and tailored applications (02:34)Scenarios where the BioLector XT Microbioreactor is the best fit (flexibility, multiple microorganisms, modular upgrades) (04:22)The most common mistakes scientists make with screening technologies, and why specialized personnel are still essential (06:45)How automation, robotics, and AI are shaping the future of early-stage bioprocess development, and why core engineering principles remain vital (08:14)Tips for evaluating screening tool placement in your process and aligning technology with your application needs (11:13)If you're making decisions about high-throughput screening platforms and want to avoid costly missteps before scale-up, this episode delivers the clarity you need.Connect with Sebastian Blum:LinkedIn: www.de.linkedin.com/in/sebastian-blum-76240b3bBeckman Coulter Life Sciences: www.beckman.comNext step:Need fast CMC guidance? → Get rapid CMC decision support hereSupport the show

John Ahrendt, the head of franchise relations for Keke's Breakfast Cafe, talks about the unique operational DNA that drives the brand's success. Arendt, a 40-year industry veteran with roots in the Outback Steakhouse system, discusses how Keke's maintains its "founder-inspired" magic—characterized by massive portions and "elevated American classics"—while scaling under the corporate umbrella of Denny's. The conversation delves into the tactical "rhythm" of the breakfast model, including the importance of "throughput" during peak weekend hours, the strategic use of Denny's franchisee network for national expansion, and the philosophy of keeping systems simple enough that they require no formal training to master.10 Key Takeaways The Power of Simplicity: Effective systems, like Keke's or even Google, should be intuitive enough to use with almost no formal training. The "Shots on Goal" Mentality: Every table is a fresh opportunity to refine service and outdo the previous interaction. Predictability of Breakfast: Unlike dinner service, breakfast offers high predictability, with 50-60% of sales occurring on weekends, allowing for highly targeted labor and training. Throughput is King: During peak hours, "elegant cues"—such as dropping the check early or offering a coffee to go—are essential to managing "campers" and maintaining flow without being rude. Founder Vision vs. Scalability: Keke's spent 16 years refining its P&L and menu before scaling, proving that a solid foundation is necessary to grow. Strategic Real Estate: Keke's targets "daily needs" locations near high-end supermarkets like Publix or Whole Foods to capture guests within a 5-to-10-minute drive. The "Eyes Eat First": Large, visually "elevated" portions drive organic marketing, as guests naturally want to photograph and share the food. Leveraging Existing Networks: By tapping into the established Denny's franchisee network, Keke's was able to expand across seven states rapidly with trusted partners. Operational Recovery: The breakfast model allows for faster "recovery" from mistakes; an omelet can be remade in two minutes, whereas a steakhouse mistake might take 22 minutes to fix. Transferable Industry Skills: Restaurant work teaches discipline and human connection—skills that technology and AI cannot easily replace.

In this episode, Frankie Hamilton, Vice President of Nursing Operations at Maimonides Medical Center, shares how he is strengthening night shift engagement, launching safety huddles, and preparing the organization for Magnet designation. He also discusses strategies to improve throughput, elevate quality metrics, and support frontline staff amid rising emergency department demand and growing uninsured populations.

Why do so many promising biotech ideas stall long before they reach the clinic or marketplace? For many, the answer lies hidden in the earliest phase of bioprocess development: upstream processing. It's where strain selection, media optimization, and culture conditions set the stage for everything that follows. Yet, the smallest missteps here can snowball into expensive roadblocks downstream. This episode of Smart Biotech Scientist Podcast zeros in on why smart screening strategies and the right bioreactor choices early on are the difference between breakthrough and bottleneck.Joining host David Brühlmann is Sebastian Blum, a microbiologist with more than two decades in the life sciences. As Market Development Manager at Beckman Coulter Life Sciences, Sebastian Blum brings firsthand knowledge from collaborating with startups, pharma giants, and CDMOs, bridging theory with the practical realities of modern process development. From commercializing micro-fermentation systems to guiding clients through high-throughput data, his insights come not just from research but real-world applications.Key Topics & Insights:How startups versus large pharma companies differ in process development strategies, including the role of budget, resources, and risk management. (04:27)The importance of designing screening experiments that mirror end-process conditions, and misconceptions around batch versus fed-batch modes. (07:49)Overview of available small-scale bioreactor systems: shake flasks, benchtop reactors, and high-throughput platforms—pros, cons, and ideal use cases. (09:17)Detailed comparison of BioLector XT Microbioreactor, ambr® 15, and ambr® 250 systems, including working volumes, experiment throughput, measurement technology, and cell types suited for each. (13:24)Practical guidance on making the most of high-throughput screening tools and how training, scripting, and collaboration help new users get value from systems like the BioLector XT Microbioreactor. (17:00)This episode offers grounded advice for scientists and founders navigating early-stage bioprocess development, plus a clear look at the technology landscape for microbial screening and optimization. Perfect for those looking to streamline process development and avoid common pitfalls.Connect with Sebastian Blum:LinkedIn: www.de.linkedin.com/in/sebastian-blum-76240b3bBeckman Coulter Life Sciences: www.beckman.comNext step:Need fast CMC guidance? → Get rapid CMC decision support hereSupport the show

In this episode, Frankie Hamilton, Vice President of Nursing Operations at Maimonides Medical Center, shares how he is strengthening night shift engagement, launching safety huddles, and preparing the organization for Magnet designation. He also discusses strategies to improve throughput, elevate quality metrics, and support frontline staff amid rising emergency department demand and growing uninsured populations.

Patient transfers are a common part of hospital care, but they carry real risk, making strong communication and coordination essential for safe outcomes. Sharon Johnson, Executive Director of Throughput and Capacity at Community Health Network, shares a how her health system is rethinking its approach to transfers and patient flow. Joined by Vizient host Shannon Hale, they explore challenges and creative strategies involved in moving patients safely and efficiently.   Guest Speaker:   Sharon Johnson, MBA Executive Director, Throughput and Capacity CHNw EMS education/ Ambulance Transportation   Host: Shannon Hale, MHA, RN, CPHQ Senior Program Director, Performance Improvement Programs Vizient    Show Notes:  [01:20] – Management of ambulance transportation  [02:22] – Throughput initiatives implemented in each hospital  [03:29] – Establishing communication through EMR  [05:39] – Training staff and bringing awareness  [06:40} – Communication and creating own triage process   [09:20] – Creating buy-in with your hospital leadership [12:26] – Developing policies and protocols that work with each facility  [13:58] – What is the “easy button” for staff and patients    Links | Resources: Contacting Knowledge on the Go: picollaboratives@vizientinc.com    Subscribe Today! Apple Podcasts Spotify YouTube Android RSS Feed  

The space shuttle had three computers and needed a two-of-three voting system to determine if a sensed variable was real or phantom. This would be a good thing regarding a leaking door seal on the capsule. Safety sensing isn't a new technology, but it seems that understanding what a safety system function is might be lacking a bit. In this episode of Control Intelligence, written by contributing editor Jeremy Pollard, editor in chief Mike Bacidore talks about safety systems.

Interview with Pascal Hamelin, President & CEO of Abcourt Mines Inc.Our previous interview: https://www.cruxinvestor.com/posts/abcourt-mines-tsxvabi-cash-flow-in-sight-with-sleeping-giant-ramp-flordin-drills-8693Recording date: 4th March 2026Abcourt Mines (TSXV:ABI) is one of the few junior mining companies to have made the full transition from developer to profitable gold producer in the current cycle. Operating the 100%-owned Sleeping Giant mine and mill in Quebec's Abitibi region, the company recorded its first gold sales in September 2025 and delivered 837 ounces in Q4 2025 which enough to generate a profit from operations. That alone sets Abcourt apart from the majority of junior miners at a comparable stage.The investment case is centred on a single, clearly quantifiable opportunity: the Sleeping Giant mill is running at less than 20% of its nameplate capacity of 800 tonnes per day. The infrastructure is built, commissioned, and performing at over 96% gold recovery. The constraint is not technology or capital, it is underground mining capacity, which is a workforce and development challenge the company is actively and systematically addressing.CEO Pascal Hamelin has set a near-term target of 10,000 tonnes per month by autumn 2026, representing approximately 2,500 ounces monthly and the threshold for strong free cash flow generation. Phase 1 of the production plan targets 30,000 ounces per year by late 2026 or early 2027. The ultimate vision is 800 tonnes per day and 50,000 ounces per year — achievable without any major new capital expenditure, given the mill is already sized for that output.To unlock that capacity, Abcourt is building an on-site sleep camp to resolve a longstanding workforce retention problem caused by long commutes in northern Quebec winters. Phase 2 of the camp (36 rooms) arrives by end of March 2026 and Phase 3 (37 rooms) is due by June 2026. Alongside this, a formal training programme with Val-d'Or's mining school is bringing new miners into the operation on a weekly basis. These are not peripheral initiatives — they are the direct operational enablers of the throughput ramp.The financial structure is also worth noting. Glencore refinanced Abcourt's start-up debt from 16% to 7%, providing a $30 million facility with interest-only payments in year one and principal repayments beginning February 2027. Glencore also holds the offtake on gold and silver production and a right of first participation in future financings. For a junior producer, this level of institutional backing is unusual and meaningful.Management credibility is underscored by insider ownership of approximately 37% — built through years of equity participation alongside external shareholders, not through compensation schemes. Officers and directors have genuine skin in the game.Beyond Sleeping Giant, the company holds 14 additional projects including a zinc-silver polymetallic asset at Abcourt-Barvue, a 5 g/t gold resource at Discovery, and multiple tailings assets being assessed for critical mineral content. These are not currently priced into the market's valuation of the company.For investors evaluating junior gold producers, Abcourt offers a rare combination: proven profitability, a clear and executable growth pathway, institutional validation, and a portfolio of assets that provide upside optionality without requiring additional capital deployment in the near term.View Abcourt Mines' company profile: https://www.cruxinvestor.com/companies/abcourt-mines-incSign up for Crux Investor: https://cruxinvestor.com

A tornado tears through Bloomington, leading Andrew and Jay to discuss practical leadership during real-world emergencies. From there, the conversation shifts back to the shop floor: chip conveyors on Brother machines, production layout tradeoffs, palletized workholding vs. one-piece flow, and the realities of automation. They explore the pros and cons of high-density fixturing, robot-fed cells, and Okuma's compact MU-600V five-axis machine with part handoff capability.The second half moves into the accelerating world of AI in manufacturing. Jay shares how he's using Claude to rapidly build internal software tools, while Andrew talks through vibe-coded machine monitoring dashboards and real-time shop visibility systems. They wrestle with simplicity vs. data overload, operator-focused visual management, and what the next wave of AI-powered shop tools might look like.

Watch Us On YouTube! If you enjoy the podcast, I hope you'll take a moment to leave us a rating. That helps us grow our audience! ***At time of distribution, TSA PreCheck is operational, though Global Entry remains shuttered. United is making adjustments to MileagePlus — and while they're not dramatic, they're definitely impactful. This week, Ed and Julian break down what's changing on the earning side, how credit cards factor in, and whether these updates actually move the needle for everyday travelers. From there, the conversation shifts to Hyatt after a detailed (but ultimately false) rumor sparked debate about a premium credit card and new award categories. Could something like this still happen? And what would it mean for Globalist members? Plus, an unexpected development in the Chase Travel portal: American Airlines flights are now showing up with Points Boost pricing. What does that mean for Chase cardholders — and could this signal a bigger shift in airline partnerships? And yes, somewhere in the background….the U.S. men's hockey team wins Olympic gold in hockey during the broadcast. ✈️ What We Cover in This Episode ✈️ United MileagePlus Changes Lower base earning rates without a United credit card Slightly higher earning with a co-branded card Basic Economy no longer earning miles (without a card) Who should (and shouldn't) consider a United card ✈️ Credit Cards vs Transferable Points Why flexible currencies may still win Opportunity cost of airline spend When a United card actually makes sense ✈️ Hyatt Premium Card Rumor (Debunked) The proposed $795 card details Category 9 and 10 award talk Would this have flooded Globalist status? Why Hyatt will likely evolve anyway ✈️ Points Boost and American Airlines AA flights appearing in Chase Travel How Points Boost changes redemption math What this could mean for airline partnerships ✈️ TSA PreCheck & Travel Friction Reports of possible program suspension Throughput vs security concerns Why consistency matters for travelers ✈️ Points Path Founders Club Update New Google Flights interface Points Wallet feature Scroll down for timestamps and details. Get hydrated like Ed in Vegas with Nuun Use my Bilt Rewards link to sign-up and support the show! If you're looking for a way to support the show, we'd love to have you join us in our Travel Slack Community.  Join me and other travel experts for informative conversations about the travel world, the best ways to use your miles and points, Zoom happy hours and exciting giveaways. Monthly access Annual access Personal consultation plus annual access We have witty, funny, sarcastic discussions about travel, for members only. My fellow travel experts are available to answer your questions and we host video chats multiple times per month. Follow Us! Instagram: https://www.instagram.com/milestogopodcast/ TikTok: https://www.tiktok.com/@milestogopodcast Ed Pizza: https://www.instagram.com/pizzainmotion/ Richard Kerr: https://www.instagram.com/kerrpoints/ ⏱️ Episode 425 Timestamps 0:00 – Hockey chaos and cold open 4:00 – United Mileage Plus earning changes explained 9:30 – Credit card impact and who benefits 14:45 – Should you get a United card now? 19:20 – Basic Economy changes and flexibility tradeoffs 23:45 – Hyatt premium card rumor breakdown 29:10 – Would a new card create too many Globalists? 33:30 – American Airlines flights in Chase Points Boost 38:40 – TSA PreCheck concerns and travel impact 41:45 – Points Path Founders Club updates

Shoot us a Text.Episode #1276: The 2026 dealer census shows fewer franchise points but stronger per-store sales. Tesla resale values rise while other EVs slide post-tax-credit. And consumers are shifting away from big-ticket purchases, focusing instead on repairs, durability and value.The latest Automotive News dealer census shows a network that's slimming down—but getting stronger. As OEMs right-size their footprints, throughput is climbing and single-brand stores are on the rise.The U.S. starts 2026 with 18,300 dealerships—just 11 fewer than last year—but total franchise points dropped 1.5% to 29,387.Exclusive, single-brand stores rose 1.2% to 13,351 locations as automakers continue network consolidation strategies.Buick (-20%), Lincoln (-9.9%) and Jaguar (-25%) all shrank networks intentionally, boosting per-store performance in the process.Average franchise throughput across the industry climbed 4.1% to 532 vehicles in 2025, with Toyota leading at 1,736 units per store, up 8%.19 brands improved throughput in 2025 — but 24 saw declines, including 12 brands down more than 10%. As networks shrink, the gap between healthy franchises and struggling ones is widening fast.When the $7,500 EV tax credit disappeared, most used EV prices fell. Except Tesla. While mainstream electric models lost value and OEMs started discounting hard, Tesla resale prices actually climbed — changing the whole picture.Used Tesla prices rose 4.3% since the credit ended, while other used EVs dropped an average of 3.6%.Because Tesla makes up such a big slice of the market, overall used EV prices actually rose 3.5% — but that's a bit of a mirage.Lower-cost EVs like the Kona Electric, ID.4, Niro EV and Mach-E all lost around 5–6% in just a few months. The Porsche Taycan was the only non-Tesla model to see a price increase, at 4.1%Used EV market share fell 20% in four months, suggesting mainstream buyers aren't rushing in — even with heavy new-EV discounts.Consumers are still spending — just not on the big stuff. Higher interest rates and tight housing turnover pushed shoppers towards smaller upgrades and essential repairs in 2025 — a trend expected to continue through 2026.Spending slowed across income groups late in 2025, especially households under $40K and over $150K.Large discretionary purchases like furniture and mattresses slowed sharply, while décor, kitchen items and maintenance held up.Home improvement spending softened for a third straight year but remains above pre-pandemic levels.Today's show is brought to you by ESi-Q. ESi-Q measures employee satisfaction and provides actionable insight into what's Join Paul J Daly and Kyle Mountsier every morning for the Automotive State of the Union podcast as they connect the dots across car dealerships, retail trends, emerging tech like AI, and cultural shifts—bringing clarity, speed, and people-first insight to automotive leaders navigating a rapidly changing industry.Get the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/

Is AI killing executive credibility, or is it the only way to stay relevant in 2026? In the debut episode of The Executive Trend, we're diving into the "Authenticity vs. Throughput" trap. Most leaders feel the pressure to post daily, but they fear that using AI will "bleach" their unique voice and destroy the trust they've spent years building.In this video, I break down exactly how to navigate this tension using my 30/40/30 Framework. We discuss what you should absolutely automate to save time and—more importantly—what must remain "painfully manual" to protect your brand.Connect with me: Freddie@frhart2.comLinkedin: https://www.linkedin.com/in/frhart2Instagram: http://instagram.com/frhart2#ExecutiveThoughtLeadership #AIContentCreation #MarketingStrategy #CEOTips #TheExecutiveTrend #DigitalTransformation

Send a textOn this week's episode of the WTR Small-Cap Spotlight, Peter Flippo, Director, Business Development, at Avantium R&D Solutions (Euronext Amsterdam: AVTX-NL) (US OTC: AVTXF), joined Tim Gerdeman, Vice Chair & Co-Founder and Chief Marketing Officer of Water Tower Research, and Peter Gastreich, Energy and Sustainable Investing Analyst at Water Tower Research.  Avantium is a technology company founded in 2000 as a Shell spin-out, specializing in innovative chemical solutions. It operates two main segments: Renewable Polymers, which develops sustainable plastics, and R&D Solutions (RDS), which provides high-throughput catalyst testing systems and services for clients worldwide—including oil & gas firms, refineries, and research institutions. Flippo discusses how Avantium's Flowrence technology significantly accelerates R&D timelines from years to months, offering reliable, scalable, and cost-effective testing. He shared how the company is positioned as a valuable partner in the high-growth sustainable aviation fuel (SAF) industry by optimizing catalytic processes and enabling the use of multiple SAF production pathways.

In this episode, Scott Jessie, Chief Nursing Officer at SUNY Upstate University Hospital, shares how his team earned Magnet redesignation, launched a high tech throughput operations center, and built a virtual nursing program that improves efficiency, quality, and staff satisfaction.

In this episode, Scott Jessie, Chief Nursing Officer at SUNY Upstate University Hospital, shares how his team earned Magnet redesignation, launched a high tech throughput operations center, and built a virtual nursing program that improves efficiency, quality, and staff satisfaction.

Osteosarcoma Webinar Series: David Ulmert, MD, PhD, an Associate Professor at UCLA, discusses his OutSmarting Osteosarcoma funded work (Because of Sydney) on high-throughput characterization of pathobiological responses in osteosarcoma tumors treated with LRRC15-targeted radiotherapy to uncover curative co-treatment approaches.Dr. Ulmert will discuss his lab's work investigating how osteosarcoma responds to LRRC15-targeted radiotherapy, with patient translation anticipated this year. Using high-throughput technologies, the team will identify biomarkers, predictive models, and key transcriptional regulators driving the TGFβ–LRRC15 axis. He will review how radiopathobiological changes and immune reprogramming are being mapped to uncover druggable events and inform co-treatment strategies, accelerating near-term impact on patient studies and next-generation therapeutic development.Dr. David Ulmert is an expert in oncology and biotechnology, specializing in cancer biomarkers and targeted therapies. His research focuses on antigens secreted by luminal tissues as novel cancer-specific targets and circulating biomarkers. He developed high-affinity antibodies against androgen receptor-regulated enzymes hK2 and PSA, now in clinical trials across the US, Europe, and Australia—in collaboration with Janssen—for radioimmunotheranostics, CAR-T therapy, and bispecific targeting. His lab also developed DUNP19, an LRRC15-targeting antibody licensed to Lantheus, with a Phase 1 trial in osteosarcoma planned for 2025. Dr. Ulmert leads UCLA's Preclinical Theranostics Program and conducts population-based studies on cancer biomarkers and risk factors with international collaborators. He is widely recognized for advancing prostate cancer research and translational immunotheranostics.

Today's Data for Tomorrow's Restaurant: What the Numbers Are Still Telling Us Podcast: Restauranttopia Data Source: Circana

On a cold January day in South Carolina, Jamie and Matt Staub unpack why focus is one of the most underrated leadership skills—especially in healthcare, where everything can feel urgent. They break down how leaders decide what deserves attention, how to “push pause” on non-emergencies, and why coaching people through problems is often more effective than absorbing them. The conversation also explores decision fatigue, the difference between being busy and being focused, the role of habits (including insights from Atomic Habits), and how boundaries protect the work that actually moves the mission forward. Along the way, they normalize attention struggles, reframe “failure” as part of growth, and offer practical ways to stay aligned to goals without losing empathy or accessibility.

Andrey Sabelnikov and Valeriy Pisarkov are the core devs of Zano: a privacy network which enables users to create tokens with privacy. The project's mix of Cryptonote and Zarcanum protocols can also enable private transfers of bridged BTC. In this episode, we talk about how this system works and we inquire about the tradeoffs involved. Time stamps: 00:01:51 – Introduction & Setting the Record Straight 00:02:51 – Val & Andre's Backgrounds, CryptoNote Origins 00:03:53 – Problems with Bytecoin & Monero's Launch 00:05:28 – Zano's Strategic Directions & AI Security Challenges 00:08:51 – Val's Role in Zano & Technical Evolution 00:13:45 – Network-Level Privacy Incident 00:19:15 – Proof-of-Work vs. Proof-of-Stake Privacy 00:24:11 – Zano vs. Monero: Not a Fork 00:29:22 – Monero Community Criticism & Scam Allegations 00:40:44 – Boolberry Project & Coin Swap 00:43:36 – Premine & Staking Controversy 00:48:29 – Tribalism & Ideology in Privacy Coins 00:53:21 – Differences Between Boolberry and Zano 00:57:32 – Wallet Support vs. Exchange Listings 01:01:03 – Exchange Listing Challenges & Gateway Addresses 01:04:20 – Gateway Addresses & Hard Fork 6 01:11:52 – Upcoming Roadmap: Proof-of-Stake & Full Chain Membership Proofs 01:17:40 – Bridging Bitcoin & Confidential Assets 01:27:52 – Asset Whitelisting & Stablecoin Risks 01:41:01 – Confidential Layer Bridge & Multi-Party Computation 01:51:21 – Zano's Scalability, Throughput, and Future Vision 01:59:08 – Full Chain Membership Proofs & Quantum Resistance 02:09:17 – Tech Stack Choices & Adaptability 02:27:07 – Why Be Bullish on Zano? 02:54:48 – DeFi Listings, Gateway Addresses, and Privacy Trade-offs 03:19:59 – Network-Level Privacy, Dandelion, and Mixnets 03:26:46 – VPNs, Network Privacy Tools, and Community Integration 03:44:03 – Personal Stories, Early Computing, and Closing Remarks

Mostly Growth on YouTube: https://www.youtube.com/@MostlyGrowthMostly Growth on Apple: https://podcasts.apple.com/us/podcast/mostly-growth/id1842238102Mostly Growth on Spotify: https://open.spotify.com/show/3KDtaLaXx1obFp5PUhZ6V3In this year-end episode of Mostly Growth, CJ Gustafson, Kyle Poyar, and Ben Hillman reflect on what it actually takes to build a modern media business around newsletters and podcasts. They unpack CJ's first year going full-time, comparing creative intuition versus metric-driven operating styles, and discuss what content truly drives growth. The conversation also covers distribution dynamics, the emotional reality of unsubscribes and burnout, and closes with a candid look at monetization, team building, and the tradeoffs between simplicity and scale.—SPONSORS:Pulley is the cap table management platform built for CFOs and finance leaders who need reliable, audit-ready data and intuitive workflows, without the hidden fees or unreliable support. Switch in as little as 5 days and get 25% off your first year: https://pulley.com/mostlymetricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.com—LINKS:Mostly Metrics: https://www.mostlymetrics.comCJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Growth Unhinged: https://www.growthunhinged.com/Kyle on LinkedIn: https://www.linkedin.com/in/kyle-poyar/Slacker Stuff: https://www.slackerstuff.com/Ben on LinkedIn: https://www.linkedin.com/in/slackerstuff/https://www.growthunhinged.com/p/deep-research-for-gtmhttps://www.growthunhinged.com/p/2025-state-of-b2b-gtm-reporthttps://www.mostlymetrics.com/p/presenting-the-state-of-the-agentic-financial-stackhttps://www.mostlymetrics.com/p/the-great-ai-arr-illusionhttps://www.mostlymetrics.com/p/presenting-the-2025-tech-stack-reporthttps://www.mostlymetrics.com/p/download-the-annual-planning-biblehttps://www.growthunhinged.com/p/how-to-sell-annual-planshttps://www.growthunhinged.com/p/get-recommended-by-chatgpthttps://www.growthunhinged.com/p/gtm-vibecoding-ideashttps://www.growthunhinged.com/p/how-to-use-ai-agents-for-marketing—RELATED EPISODES:We get roasted for swag and drop some GTM goldhttps://youtu.be/uubf_8al95wDo vanity plates bring serious business?https://youtu.be/Cm1rubFb-kgPricing in the Real World: Babies, Bots, and Billinghttps://youtu.be/T1cjFSZR0k0—TIMESTAMPS:00:00:00 Preview and Intro00:01:52 Sponsors — Pulley | Metronome00:04:12 Action Figure Swag and Year-in-Review Setup00:05:47 Going Full-Time and the First-Year Reality Check00:07:24 Writing Schedules, Creative Work, and Time Optimization00:09:16 Writing Speed, Craft, and the Myth That Time Equals Quality00:10:51 Perfectionism vs. Throughput in Newsletter Writing00:13:03 Creator Burnout, Motivation, and Engagement Anxiety00:14:08 Playing the Long Game vs. Obsessing Over Metrics00:15:42 Best Work of the Year and High-Leverage Content Bets00:17:55 Big Research Reports as Career-Defining Projects00:19:19 When Memes Outperform Deep Work00:19:52 LinkedIn Algorithms vs. Content Quality00:20:51 Writing for the Feed vs. Writing to Think00:22:03 Optimizing LinkedIn Profiles for Credibility00:23:47 Subscriber Growth, Audience Quality, and Churn Reality00:27:20 Reports and Research as Growth Engines00:28:37 Tactical “How-To” Content That Actually Converts00:30:21 Tactical Value Beats Sounding Smart00:30:40 Building a Team and Scaling Beyond a Solopreneur00:32:05 Simplicity vs. Scale in Early Business Decisions00:35:37 Avoiding Boredom and Shiny Object Syndrome00:37:12 Balancing Writing, Consulting, and Energy00:37:54 Making the Leap Financially as a Creator00:39:01 Subscriptions vs. Advertising as the Real Business Model#MostlyGrowthPodcast #CreatorEconomy #IndependentCreator #NewsletterBusiness #YearInReview This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjgustafson.substack.com

Emergency departments across the U.S. are under unprecedented strain, with overcrowding, staffing shortages, and inpatient bed constraints converging into a throughput crisis. The American Hospital Association reports that hospital capacity and workforce growth have lagged, intensifying delays from arrival to disposition. At the same time, advances in artificial intelligence are moving from experimental to operational—raising the stakes for how technology can meaningfully improve patient flow rather than add complexity.So, how can emergency departments reduce bottlenecks and move patients more efficiently through care without compromising clinical judgment or trust?Welcome to I Don't Care. In the latest episode, host Dr. Kevin Stevenson sits down with Mitch Quinn, Director of AI/ML at ChoreoED, to explore how AI-driven insights can help hospitals anticipate admissions and discharges earlier, coordinate downstream services, and ultimately improve ED throughput. Their conversation spans the real-world operational challenges ED leaders face, the practical application of machine learning in high-acuity settings, and what it takes to deploy AI tools that clinicians actually trust and use.What you'll learn…How AI models trained on a hospital's own historical data can accurately anticipate admissions up to hours earlier, enabling parallel workflows.Why focusing on “high-certainty” admissions and discharges—rather than rare edge cases—creates immediate operational value in the ED.How adaptive, continuously retrained models can support both experienced clinicians and newer providers in high-turnover environments.Mitch Quinn is a Director of AI and Machine Learning and a computer scientist with 20+ years of experience building production-grade AI systems across healthcare and cybersecurity. He specializes in deep learning, large-scale model architecture, and end-to-end ML pipelines, with leadership roles spanning applied research at Blue Cross NC, enterprise AI consulting, and real-time cyber threat detection. His career highlights include designing high-performance deep neural networks, anomaly detection systems operating at enterprise scale, and foundational software frameworks used by large engineering organizations.

EigenDA achieves 1GB/s throughput. The SEC ends its investigation into Aave. Stani publishes the Aave 2026 Master Plan. And Etherealize and Chainlink released a guide for enterprises. Read more: https://ethdaily.io/844 Sponsor: Arkiv is an Ethereum-aligned data layer for Web3. Arkiv brings the familiar concept of a traditional Web2 database into the Web3 ecosystem. Find out more at Arkiv.network Content is for informational purposes only, not endorsement or investment advice. The accuracy of information is not guaranteed.

Stop guessing. Start assessing. This conversation gives chiropractors a clear, CEO-level way to review the past year so you can plan 2026 with confidence. Dr. Pete and Dr. Stephen break down the APPEAR process and show how to score your five domains, surface real constraints, and turn them into projects that boost throughput, retention, and profitability. You'll learn how to use the Accountability Grid, align KPIs to owners, and set a simple rhythm that keeps your team focused and your growth sustainable. In this episode you will:See how the APPEAR framework turns vision into execution. Learn to score attraction, conversion, retention, team, and collections with real data. Identify true constraints and translate them into 2026 projects. Assign clear ownership and KPIs using the Accountability Grid. Build a repeatable end-of-year assess → plan rhythm your team can follow.Episode Highlights01:38 – Learn why Last to Now is the essential starting point for the APPEAR framework.02:17 – See why discipline and restraint make this assessment so valuable for leaders.03:29 – Understand how the APPEAR process works and why the Assess step runs deeper than most expect.04:08 – Hear how belief systems shape behaviors and why outcomes trace back to mindset.05:32 – Learn why successful chiropractors reflect before they plan and how this habit produces better years.06:23 – See why entrepreneurs struggle with slowing down and why looking back is uncomfortable but necessary.07:16 – Understand how last year's vision and goals become the anchor for your annual review.09:18 – Learn how your vision story and goals turn into a data-driven roadmap for assessment.10:53 – See why outcomes reveal the truth of your inputs and why emotional reactions are part of the process.13:06 – Learn how to create a proper CEO environment for meaningful annual assessment.14:52 – Understand how the APPEAR process ties assessment, planning, and execution into one clear rhythm.17:12 – See how the updated Accountability Grid simplifies scoring and clarifies ownership.21:26 – Learn how to connect beliefs, behaviors, and tools so your assessment becomes actionable.26:02 – Understand how the three tributaries of marketing reveal the health of your attraction strategy.34:09 – Learn how constraints limit throughput and why identifying them drives your 2026 projects.37:58 - Coach Dr. Eric talks with Success Partner Dr. Chad Glines from Genesis Back and Neck about bringing a principled decompression system into a chiropractic practice without adding confusion or extra work. Dr. Chad shares how their proven protocol, targeted marketing, and full training support make disc care consistent, profitable, and easy to integrate. It's an encouraging look at growing your practice and serving tougher cases with confidence and integrity. Resources MentionedDownload for the Accountability Grid & Walk-Through Video: https://theremarkablepractice.com/podcast-ep334-acctgrid/Learn more about the TRP Remarkable Business Immersion - March 6 - 7, 2026 in Phoenix, AZ and March 20 - 21, 2026 in Brisbane, AUS - https://theremarkablepractice.com/upcoming-events/To learn more about the REM CEO Program, please visit:  http://www.theremarkablepractice.com/rem-ceoFor more information about Genesis Back & Neck visit: https://genesisback.comBook a Strategy Session with Dr. Pete - https://go.oncehub.com/PodcastPCPrefer to watch? Catch the podcast on YouTube at: https://www.youtube.com/@TheRemarkablePractice1To listen to more episodes, visit https://theremarkablepractice.com/podcastor follow on your favorite podcast app. 

In this episode, we sit down with Nick Haase, Co-Founder of MaintainX to discuss how AI is shifting from a buzzword to delivering real, practical value on the manufacturing floor. Nick breaks down where it makes a difference, why good data and frontline involvement are essential, and how keeping people informed helps teams roll out AI safely and effectively.PACK EXPO East returns to Philly in February 2026. It's your east coast connection for packaging and processing solutions. Be there to catch up on the latest industry advances, connect with suppliers and land on the right solutions for your entire production line—from automation and sustainability to e-commerce and much more. Register today at packexpoeast.com.Register for PACK EXPO East today!

Dan Barnholden, CEO of Luca Mining (TSX.V:LUCA – OTCQX:LUCMF – FSE:TSGA), joins us to review their Q3 operations and key financial metrics, further debt repayment, ongoing metallurgical studies and development work, expanded exploration programs.  He provides insights on key upcoming growth initiatives through improving grades and better precious metals recoveries across both of Luca's producing assets – the Campo Morado and Tahuehueto mines, located in the prolific Sierra Madre mineralized belt in Mexico.    Third Quarter 2025 Highlights   Safety: continued emphasis on safe, disciplined operations with strengthened housekeeping and visible leadership engagement across both sites. Throughput increased: consolidated tonnes milled of 250,807 (+66% vs. prior year), supported by increased plant availability at both mines which has resulted in higher metal output: Gold increased 51%, Silver increased 97%, Zinc increased 78%, Lead increased 81%, Copper increased 43% over Q3 2024. Profitability indicators: Adjusted EBITDA of $4.3 million for the quarter and positive year-to-date adjusted net earnings of $12.8 million, a reflection of greater operational performance. Revenue momentum: Revenues of $35.0 million (+94% vs. prior year), supported by higher sales volumes and increased realized precious-metal prices (gold +28%, silver +18%). Campo Morado performance: production in Q3 improved year-over-year (+75% ZnEq pounds) on higher grades, notably zinc (+30%) and silver (+27%) and increased volumes (+43% tonnes milled per day). Cash costs decreased to $1.09 per payable ZnEq pound (-14% vs. prior year) with AISC of $1.43/lb slightly increased (+8%) from the same quarter in the prior period, reflecting increased sustaining capital development and the commencement of a significant exploration program at the mine (all of the Company's exploration expenditures are included in AISC). Tahuehueto ramp-up: 77,548 tonnes milled, setting a record of 969 tonnes milled per day in the quarter (+187% vs. prior year), with AuEq production up 74% year-over-year. As a result of increased volumes, direct cost per tonne reduced to $149 (-22%). Lower grades in the quarter, as well as increased capital development and exploration, resulted in an increase in AISC (+35%) year-over-year. Increased grades and the benefit of this capital development are expected to decrease AISC at Tahuehueto in the subsequent periods. Investment for reliability: sustaining capital investment of $8.7 million in the quarter ($19.0 million YTD) to accelerate underground development and exploration drilling, positioning both mines for improved grades and operating flexibility. The Company made significant progress in exploration, with multiple high-grade intercepts at both operations. Repaid $2.5 million in debt. Operations going forward:  Both Tahuehueto and Campo Morado are expected to enter higher-grade areas which, combined with the strong milling rates observed at both mines, is expected to drive increased production, improved recoveries, and lower unit costs through year-end.   Dan goes on to highlight both the expanded CAD$25Million exploration program, with both underground drilling and surface drilling going on at Campo Morado and Tahuehueto, in the first meaningful drill campaign in over a decade. In addition to targeting new high-grade gold and silver areas, like the Reforma zone, there is also a concerted effort to expand mineralization and extend the mine life for both projects. The company is also engaged in ongoing metallurgical testing to improve recovery rates for their 5 metals, and 3 concentrates.     If you have any question for Dan regarding Luca Mining, then please email those into us at Fleck@kereport.com  or Shad@kereport.com.   In full disclosure Shad is a shareholder of Luca Mining at the time of this recording and may choose to buy or sell shares at any time.   Click here to follow the latest news from Luca Mining   For more market commentary & interview summaries, subscribe to our Substacks:   The KE Report: https://kereport.substack.com/   Shad's resource market commentary: https://excelsiorprosperity.substack.com/     Investment disclaimer: This content is for informational and educational purposes only and does not constitute investment advice, an offer, or a solicitation to buy or sell any security. Investing in equities and commodities involves risk, including the possible loss of principal. Do your own research and consult a licensed financial advisor before making any investment decisions. Guests and hosts may own shares in companies mentioned.

This episode explores the long-standing challenge of balancing throughput and pellet quality in modern feed milling. The discussion highlights why the two often compete: higher throughput can strain equipment, reduce retention time, and limit the conditions needed for strong pellet integrity. The experts unpack how formulation choices, moisture management, grind size, and ingredient variability directly influence both production efficiency and pellet durability. They walk through each stage of the process—from conditioning to pelleting to cooling—identifying where the biggest quality and throughput gains are typically made and where small adjustments can create outsized results. A key theme is the importance of collaboration between nutritionists and mill operators to align formulation, equipment capabilities, and operational targets. Finally, the episode outlines practical troubleshooting steps when higher throughput begins to erode pellet quality, emphasizing moisture, die condition, retention time, and mechanical setup as the first areas to evaluate.

AABP Executive Director Dr. Fred Gingrich is joined by AABP Honor Roll member Dr. David Reid, a graduate of Kansas State University, who has dedicated his career to milk quality consulting on dairy farms. The dairy industry has experienced significant contraction over the past 30 years with a similar number of cows in the national cattle herd on a smaller number of farms. This means that we have larger dairies and farms need to get a larger number of cows milked in the allotted amount of time without sacrificing milk quality. Reid states that general goals are five-and-a-half parlor turns per hour in side-by-side parlors and depending on the size of the rotary, seven to nine turns per hour. Two factors that influence throughput is the size of the parlor and the amount of labor the farm employees for milking. He states that the most important factor in improving throughput is getting cows to be a willing participant in the milking process and practicing good stockmanship by moving cows in a calm manner. This also results in cows moving slower, so they have less manure splash and are calm when they start the milking process. Reid suggests that veterinarians walk the path that cows walk from the home pen to the parlor to make sure there are not areas that are dirty or create issues for cow handling. Frequency of fresh bedding application is a critical question for veterinarians to review with producers to improve cow cleanliness. Reid also discusses making sure that the milking routine is consistent from milking-to-milking and milking technician-to-technician. Forestripping every cow at every milking is a critical step that not only allows for detection of abnormal milk but improves milk letdown, milk flow rates and decreases unit on-time which is important for maximizing throughput. We also discuss some of the features in parlor that allow for the machine to strip the cow, but Reid cautions that this does not detect abnormal milk. Other tips Reid suggests for improving throughput are starting to prep the first cow as soon as she enters the first stall, shield field-of-vision areas where cows enter the parlor so they only see the cow ahead of them, and proper use of the crowd gate to train cows to the audible noise, then backing off.  Veterinarians play a critical role in monitoring milk quality and parlor throughput on their client's farms. This includes monitoring milk per shift, turns per hour, walking the cow path to detect any issues, and visually inspecting milk filters.  To find milk quality resources on the AABP website, visit this page and select the Milk Quality and Udder Health Committee. If you are interested in joining the Milk Quality and Udder Health Committee, contact Dr. Fred Gingrich at fred@aabp.org. 

Want to know the fastest way to find your bottleneck and unlock growth? Dr. Bobby and Dr. Lona reveal why the Five-Domain Audit is the simplest system for spotting what's holding you back and planning your next move with confidence.They walk through how to grade your five domains; attraction, conversion, retention, team, and collections, so you can separate supply from demand issues and focus only on what truly matters. Along the way, they share how vision-driven leadership rhythms keep your team aligned and why benchmarks create clarity on the right priorities. With their Vector Leadership framework of vision, rhythms, communication, and clarity, you'll learn how to finish Q4 strong and head into 2026 with unstoppable momentum.Key Highlights1:06 - Learn how stepping back each quarter and grading five domains reveals the true state of your business.3:00 - See how benchmarks for attraction, conversion, retention, team, and collections guide sustainable growth.4:27 Understand why the theory of constraints is key to identifying the one bottleneck holding you back.5:37 - Discover how daily focus on your top constraint creates faster, more consistent progress.7:06 - Find out how a 0–10 scoring system across domains exposes blind spots you may be missing.10:00 - Learn why solving one problem often leads to the next—and how that signals real growth.12:20 - Explore how team input through quarterly forms uncovers issues leaders often overlook.14:34 - See how the Vector Leadership model—vision, rhythms, communication, and clarity—becomes a framework for execution.15:19 - Understand why a 10-year vision clarifies short-term goals and motivates your team.19:31 - Learn how to distinguish demand from supply problems and adjust strategy to market conditions. Resources MentionedJoin the TRP Remarkable Attraction Immersion - Oct 24 & 25 in Adelaide, AUS - https://theremarkablepractice.com/upcoming-events/ To schedule a Strategy Session with Dr Lona: https://go.oncehub.com/DrLonaBuildPodcastTo schedule a Strategy Session with Dr Bobby: https://go.oncehub.com/DrBobbyBuildPodcastLearn more about the Remarkable CEO Podcast: https://theremarkablepractice.com/podcast

In this episode, host Beau Wigington chats with Alexander Purvis, Senior Welding & Automation Engineer at Novarc Technologies, about pairing TipTIG with a spool welding robot (SWR) to boost pipe-shop speed, consistency, and operator safety.Key Topics Covered:Learning curve & training: 1–1.5 hours to get comfortable for hands-on folks; standard onboarding is one week for three operators (3:1 trainer ratio).Fit-up tolerance: Built to handle real-shop conditions (nominal 3/32" root opening; workable from ~1/16" to heavy 1/8") without demanding “perfect” hi-lo.Low-maintenance mechanics: Air-powered manipulator (no hydraulics; sealed bearings) to cut downtime.Assist vs autonomy: AI reads variable root opening/hi-lo in real time and switches among seven root-save levels to keep the root on track.Process flexibility: Dual-torch MIG option (short-circuit root → flux-core fill/cap) and a TipTIG hot-wire TIG package for stainless/critical work.Where it fits: Prefab spools for mechanical contractors, expanding into oil & gas and nuclear work.Safety & ergonomics: Operate 4–5 ft from the arc, reduce fume exposure (especially on stainless/hex-chrome), and ditch the “bent-over all day” posture.Operator buy-in: Find a shop “champion,” then let them own the cell and rack up reps.Throughput story: One SWR operator reportedly laid ~158 in/day, edging five manual welders combined (~148–150 in).See it yourself: Demo-on-demand videos and an in-person Customer Experience Center (Houston).Memorable Quotes:“We don't expect a perfect fit up… the system accommodates that variance.”“Set it on a tack, press start, and the operator can walk away.”“He out-welded five manual operators,158 inches in a day.”Learn more about the SWR from Novarc TechnologiesWebsite - https://www.novarctech.com/ Facebook - https://www.facebook.com/novarctech/ Instagram - https://www.instagram.com/novarctech X - https://x.com/novarctech LinkedIn - https://ca.linkedin.com/company/novarc-technologies-inc- YouTube - https://www.youtube.com/channel/UChc6v5nXWaUU5g9eakabdNw Connect with Beau WigingtonInstagram: @beaudiditwelding https://www.instagram.com/beaudiditwelding LinkedIn: https://www.linkedin.com/in/beauwigington E-Mail : beauw@weld.com

In this episode, Mohan Giridharadas, Founder and CEO of LeanTaaS, answers unfiltered questions from healthcare leaders about hospital capacity, throughput, and operational efficiency. He shares practical insights on leveraging AI, improving OR utilization, addressing bottlenecks, and driving better outcomes with existing resources.To learn more and register for the upcoming Transform Hospital Operations Virtual Summit, visit: https://conferences.beckershospitalreview.com/september-2025-transform-virtual-event?utm_source=virtual-conference&utm_medium=event&utm_campaign=september-transform-podcast&utm_content=lt

This is Part 7 of Steve Coughran's book Cash Flow. Steve covers the third lever of cash flow: cost of goods sold (COGS). He explains why lowering COGS directly boosts profitability, how throughput matters more than margins, and the strategies businesses can use to cut waste, improve labor efficiency, and increase cash flow without sacrificing quality.LinkedIn | YouTube coltivar.com

What You'll LearnWhy sustainability wasn't the initial growth lever and how ThredUp found product-market fit by prioritizing value and convenience.The pivotal shift from a peer-to-peer marketplace to an asset-backed resale model through bag-drop logistics.How ThredUp scaled partially automated distribution centers to process over 100,000 unique items daily.The key metrics that balance throughput, speed, and quality in large-scale resale operations.How generative AI and visual search transformed discovery, personalization, and customer confidence.The cultural practices — hackathons, AI bootcamps, and atomic building blocks — that sustain innovation and rapid adoption internally.How Resale-as-a-Service enables major brands like Madewell to run white-labeled resale programs powered by ThredUp's technology and operations.Highlights00:00 – Introduction: Dan's 15-year journey at ThredUp02:00 – Why sustainability alone didn't drive growth04:00 – The bag-drop pivot: asset-backed vs. P2P resale07:30 – Marketplace dynamics: limited buyer-seller overlap09:00 – Jobs-to-be-done thinking & unlearning old models12:00 – Scaling ops: from scrappy warehouses to the world's largest clothing carousel17:00 – Throughput vs. quality: metrics that matter21:00 – AI-powered search & discovery: cottagecore to mermaidcore26:30 – Internal AI adoption: hackathons & “atomic building blocks”33:30 – Building a culture of innovation and infinite learning36:30 – Resale-as-a-Service for brands like Madewell39:30 – Future of shopping: agentic AI and frictionless commerce42:00 – Shoptalk Fall preview + closing thoughtsQuotes[00:02:30]: “Even if someone cares about the planet... we did not find product-market fit. We had to work a lot early on to better understand the needs of both buyers and sellers.” - Dan DeMeyere[00:12:15]: “It was a little bit like jumping out of an airplane and just having trust in ourselves that we're gonna build or find a parachute before we hit the ground.” - Dan DeMeyere[00:20:30]: “Trust is so important, especially in the used space. We have to become clever in helping customers feel confident with the potential fit and flattery of every item.” - Dan DeMeyere[00:39:30]: “If your core experience can be improved through AI, why do you need to put ‘AI' on the website? It's about the value you bring, the job they're hiring you for.” - Dan DeMeyereAbout the GuestDan DeMeyere is the Chief Product and Technology Officer at ThredUp, a leading online resale platform pioneering sustainable fashion through technology and operational innovation. With 15 years at ThredUp starting from its inception, Dan has overseen the company's evolution from a peer-to-peer marketplace into a high-velocity, AI-enabled resale giant processing over 100,000 items daily. He is passionate about customer-centric product development and leveraging AI to transform retail experiences at scale.Links Mentioned- ThredUp: https://www.linkedin.com/company/thredup/- Dan DeMeyere on LinkedIn: https://www.linkedin.com/in/dandemeyere/

The future could be much healthier for both farmers and everyone who eats, thanks to farm robots that kill weeds with lasers. In this episode of TechFirst, we chat with Paul Mikesell, CEO of Carbon Robotics, to discuss groundbreaking advancements in agricultural technology. Paul shares updates since our last conversation in 2021, including the launch of LaserWeeder G2 and Carbon's autonomous tractor technology: AutoTractor. LaserWeeder G2 quick facts: - Modular design: Swappable laser “modules” that adapt to different row sizes (80-inch, 40-inch, etc.) - Laser hardware: Each module has 2 lasers; a standard 20-foot machine = 12 modules = 24 lasers - Laser precision: Targets the plant's meristem (≈3mm on small weeds) with pinpoint accuracy - Weed kill speed: 20–150 milliseconds per weed (including detection + laser fire) - Throughput: 8,000–10,000 weeds per minute (Gen 2, up from ~5,000/min on Gen 1) - Coverage rate: 3–4 acres per hour on the 20-foot G2 model - ROI timeline: Farmers typically achieve payback in under 3 years - Yield impact: Up to 50% higher yields in some conventional crops due to eliminating herbicide damage - Price: Standard 20-foot LaserWeeder G2 = $1.4M, larger models scale from there - Global usage: Units in the U.S. (Midwest corn & soy, Idaho & Arizona veggies) and Europe (Spain, Italy tunnel farming)We chat about how these innovations are transforming weed control and farm management with AI, computer vision, and autonomous systems, the precision and efficiency of laser weeding, practical challenges addressed by autonomous tractors, and the significant ROI and yield improvements for farmers. This is a must-watch for anyone interested in the future of farming and sustainable agriculture.00:00 Introduction to TechFirst and Carbon Robotics01:10 The Science Behind Laser Weeding05:46 Introducing Laser Weeder 2.006:39 Modular System and New Laser Technology09:26 Manufacturing and Cost Efficiency11:47 ROI and Benefits for Farmers13:24 Laser Weeder Specifications14:08 Performance and Efficiency14:49 Introduction to AutoTractor17:23 Challenges in Autonomous Farming18:23 Remote Intervention and Starlink Integration23:23 Future of Farming Technology24:50 Health and Environmental Benefits25:18 Conclusion and Farewell

I talk with Excurio co-founder and CEO Fabien Barati & Jules Rimbaud, business development manager for the US territory, about expanding Excurio to 22 locations worldwide, and now with a focus of expanding into North America. See more context in the rough transcript below. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality