Podcasts about Quality assurance

There's a number attached to every patient's chart that quietly shapes the resources they receive, the care they're offered, and whether their health conditions are fully seen — and most providers don't fully understand it. In this episode, Jamie sits down with Ericka Bauman, Director of Quality Assurance at Your Health, to break down the Risk Adjustment Factor — better known as the RAF score. Ericka has spent years traveling across Georgia and South Carolina, walking into provider offices, sitting with care teams, and doing the work of turning confusing data into meaningful patient outcomes. What you'll hear in this episode: What the RAF score actually is — explained the way Erica explains it to every team she visits, from providers to front desk staff Why most RAF scores are too low — and how underdocumenting a patient's conditions leaves them exposed to missed care, hospitalizations, and unmet needs The biggest misconception providers have about RAF (hint: it's not another box to check) How RAF and quality measurement are really asking the same question from two different angles — and why treating them separately is a mistake What changes for patients when care teams show up prepared, proactive, and looking at the whole person — not just the reason for today's visit The numbers will follow when you take care of the patient. This episode will show you how. www.YourHealth.Org

In this episode, I chat with Alper Donmez, VP of Quality Assurance at Jotform, about how the platform is building accessibility into every layer of the form creation and form filling experience. You'll also hear what Jotform's built-in accessibility checker catches that you might not expect, how the team supports users who rely on screen readers and keyboard navigation, and why accessibility should be the starting point of your process rather than a final checklist. If you want to learn more about making forms accessible for your school community, this episode has you covered! Show notes: https://classtechtips.com/2026/08/21/making-forms-accessible-bonus/ Sponsored by Jotform: http://jotform.com/education Follow Alper Donmez on social: https://www.linkedin.com/in/alper-donmez/ Follow Monica on Instagram: https://www.instagram.com/classtechtips/  Take your pick of free EdTech resources: https://classtechtips.com/free-stuff-favorites/   

Today let's talk about something I’ve been asked many times over the years. “Why warehousing?” Or “Why transportation?” Or “Why the supply chain?”  After unloading trailers, pulling orders, operating forklifts, supervising teams, managing operations, and on to the executive team, I’ve been asked that question hundreds of times. People usually expect me to answer with one of the obvious reasons. That there’s good money, great benefits, opportunities for overtime, or the Job security and Promotion opportunities, and how the works stable, sometimes even considered essential. And those are all true, and they’re all important. But if I had to narrow everything down to just one reason? Just one thing that makes this industry different than almost every other career?  Well, I'd have to go with how this industry rewards the person you’re willing to become. Not who you are today or where you came from. Not what grades you made or where you went to school or who your parents were. This industry has always rewarded effort. It rewards people that keep showing up and that continue learning. It rewards people that become more valuable every year. And to me anyway, that’s something incredibly special.  When someone asks me what they should do with their career, I often tell them that warehousing isn’t just about moving boxes and transportation isn’t just about trucks and how the supply chain isn’t just about inventory. It’s about solving problems. It’s about making businesses successful and it’s about making sure families receive what they need. Every package is delivered. Every grocery shelf is stocked. Every hospital was supplied. Every manufacturing plant receives their raw materials. Every online order arrives on someone’s porch. All of that happens because thousands of us workers choose to become professionals. One of the things I love about this industry is that there are very few ceilings. As I've said many times, you can literally start today sweeping floors and next year you might be operating equipment. A year later you’re training others and soon you’re a lead. Then a supervisor. Maybe an inventory analyst. Perhaps a dispatcher or transportation coordinator or a safety professional. Even an operations manager, director, or Vice President. I’ve watched people make that journey. I’ve had the pleasure of hiring several of them and the honor of promoting many of them. Not because they had the fanciest résumé. But because they earned the opportunity.  First off, our industry notices consistency. I know I sound like a broken record sometimes. I keep repeating these things because they are that important and just that simple. Showing up everyday matters. Being dependable and taking ownership matters. If your supervisor never has to wonder whether you’ll be at work, if they know you’ll do quality work and they know you’ll help solve problems instead of creating them, you’ve already separated yourself from many others. Consistency becomes your resume.  Then comes learning. Every new skill increases your value. Learn a second department. Learn receiving, Shipping, Inventory Control, Quality Assurance, Cycle counting, Forklift operation, the Reach truck. What else, here's a few of my go too's, the order picker. Yard management. Transportation planning. Warehouse Management Systems. Excel. Everyone should feel comfortable working with Microsoft word and excel. And Leadership. Communication, and of course Safety. Every skill is another tool in your toolbox. And no bad manager or company can take those skills away from you. Even if you change employers, those skills travel with you.  One lesson I’ve learned throughout my own career, and try to share with every new boot I meet, is that companies don’t simply promote experience. They promote confidence and our confidence comes from preparation. I think being prepared comes from learning everything we can. The more you understand the operation, the more valuable you become. Eventually people begin asking for your opinion and that’s when your career really starts to grow.  Another reason I love this industry is because every day is different. No two days are exactly alike. One morning you may have weather delays, all your trucks and loads are running late. On another day we'll have equipment issues. A customer changes an order. A shipment arrives early. A truck breaks down. The inventory doesn’t match. The team is short-handed. Problems appear every single day!  Some people see stress. I've always tried to see opportunities.  Seriously, every problem solved teaches you something. Every challenge develops another leadership skill, and every difficult day prepares you for greater responsibility. Young people often ask me how to become successful, and my answer seems to surprise them. Just Become the person people trust. Trust opens doors. Trust gets assignments and earns promotions. Trust creates opportunities. Trust is built one decision at a time. A decision from us. Being on time. Following through. Owning mistakes. Helping our teammates. Doing the right thing when nobody’s watching. Those habits are noticed.  I also appreciate something else about our profession. You don’t have to wait for someone to allow you to grow. Growth is largely in your control. Read books. Watch training videos, there’s thousands on YouTube. Volunteer for projects. Crosstrain. Ask questions. Observe great leaders. Practice communication. Improve your safety knowledge. Become certified. Nobody can stop you from investing in yourself. The people who grow the fastest are usually the ones who never stop learning.  I’ve met warehouse associates making six figures. transportation professionals earning incredible incomes. Supply chain analysts traveling the country. Operations leaders running million-square-foot distribution centers. Safety professionals influencing thousands of employees. Corporate trainers teaching nationwide. None of them started there. Most started exactly where someone listening today may be standing. The difference wasn’t luck. It was growth.  You know, one of my favorite moments is watching someone realize they have more potential than they ever imagined. Maybe it’s the forklift operator who becomes a trainer. The selector who becomes a supervisor. The receptionist who becomes a recruiter. The dispatcher who becomes a transportation manager. And I could go on and on.  I’ve watched those transformations happen over and over again.  The warehouse is an incredible classroom. It teaches discipline, Communication, Teamwork, Safety, Accountability, Time management, Customer service, Leadership, Conflict resolution, Problem solving. And These aren’t just warehouse skills. They’re life skills. Skills that help in every profession and every stage of life.  People sometimes say they don’t want to work in a warehouse forever. I understand that. But don’t overlook what the warehouse can do for you. It can build confidence. Teach responsibility. Develop leadership. Provide financial stability. Introduce lifelong mentors. Open doors you never knew existed. The warehouse may not be your final destination. But it can absolutely become the foundation of an incredible career.  As I look back over my own career, I don’t remember every shipment. I don’t remember every inventory count. I don’t remember every dock schedule. What I remember are the people. The mentors who challenged me. The associates who inspired me. The supervisors who believed in me. The teams that accomplished incredible things together. That’s another gift this industry gives us. Relationships. And those relationships often last an entire lifetime.  So, if someone asked me today, Marty, what’s the one thing that makes this industry so great? My answer would be simple. Because this industry rewards the person you’re willing to become. It rewards effort. It rewards learning. It rewards reliability. It rewards character. It rewards ownership. It rewards growth. And the beautiful part is, every one of us gets to decide who we’re becoming tomorrow.  Ok, I've got to get back to work myself now. But I wanted to add that if you’re just beginning your career in warehousing, manufacturing, transportation, or supply chain, don’t focus only on the next paycheck. Focus on becoming the person everyone wants on their team. The promotions will come. The opportunities will come. The raises will come. The career will come. It's my opinion or my belief, in this industry, your greatest value isn’t the equipment you operate or the building or department you work in. It’s the person you choose to become.    I'm Marty T Hawkins and I want to thank you for checking in on Warehouse and Operations as a Career today. Until next time, be safe, keep learning, help someone else grow, and never stop investing in yourself. 

Most companies bring in regulatory expertise when they're ready to file. Leland Keyt, VP of Regulatory Affairs and Quality Assurance at Apreo Health, makes the case that by then you've already absorbed costs you didn't need to, and explains what early regulatory partnership actually looks like in practice.Leland and Nick get into why risk tolerance is the thing that catches scaling companies, the hidden costs of rework beyond timeline, how regulatory input changes product decisions across geographies, and what regulators are scrutinizing more closely now.A few of Leland's key takeaways:Early means concept phase, not pre-submission. Even your IP narrative can matter years later in a submissionCompanies often run more testing than they need. Efficiency means answering the right questions with the least dataRisk tolerance is what gets companies in trouble. What's acceptable in development isn't acceptable at PMAPost-market obligations happen underneath the water, and they're a resourcing problem more than a regulatory oneRework isn't just timeline, it's product cost and a supply chain issueBiocompatibility interpretation varies by geography and can change what you develop and whenAI, usability, and management review are all getting closer regulatory attentionBuild a scalable QMS. It's the bedrock, and it isn't an afterthoughtAbout Leland KeytLeland Keyt is VP of Regulatory Affairs and Quality Assurance at Apreo Health, which is running a US pivotal study for an implantable airway scaffold for severe emphysema. She has over 20 years in medical devices across startups, mid-size companies, and multinationals, previously serving as Chief Product Officer at Biorithm and Senior Director of RA/QA at Pulmonx, where she navigated FDA's Breakthrough Device Program to a 178-day PMA approval.About The FDA GroupThe FDA Group helps life science organizations rapidly access the industry's best consultants, contractors, and candidates. Our resources assist in every stage of the product lifecycle, from clinical development to commercialization, with a focus on staff augmentation, auditing, remediation, QMS, and other specialized project work in Quality Assurance, Regulatory Affairs, and Clinical Operations. Learn more: https://www.thefdagroup.com/

On this episode, you'll hear the remarkable story of Bass Pale Ale. This story begins at the dawn of the industrial age, and charts Bass's rise as one of the first global brewing brands. Over the course of two centuries, its pale ales evolved to meet the times, and today we know Bass as one of Britain's classic cask ales—a beer enjoying a current renaissance among the country's pubs. In many ways, in telling the story of Bass, we're recounting the history of brewing in Britain over the past two centuries: its technological and industrial rise, the collapse that befell the giants over the past generation, and, perhaps, an encouraging revival. You'll hear from Harry White, who started at Bass in the research and development department in 1977. He would become Director of Quality Assurance in 1989, and stayed with the company until 2007. Today he is the chairman of the National Brewery Heritage Trust in Burton Upon Trent. You'll also hear from Pete Brown, one of the most celebrated beer writers in the world and the author of over a dozen books, including his most recent, Tasting Notes – The Art and Science of Pairing Beer and Music.It's an amazing brewery and an amazing story, all befitting one of the world's most iconic beers.Visit AllAboutBeer.com for more podcasts, to read original articles, and to get info on upcoming events.Click here to support independent journalism covering the beer industry.This episode is sponsored by:RahrBSGThis episode of the One Iconic Beer podcast is supported by RahrBSG – trusted supplier to brewers, distillers, and beverage makers across North America.  From the barley field to your brewhouse, we're proud to support the people behind great beer with the ingredients, expertise, and service they depend on.  Whether you're brewing the next great American Double IPA or crafting an award-winning continental lager, RahrbSG provides the industry's finest quality, selection, and support. Behind every great – or even iconic – pint, there is a partner who knows what it takes to make it happen. RahrBSG is proud to keep the beer flowing with you. Escarpment LabsTired of inconsistent fermentations and off-flavors in your beer? It's time to strike back with Yeast Lightning Nutrient from Escarpment Labs. Unlike generic nutrients, Yeast Lightning is a balanced blend containing bioavailable zinc, magnesium, and B vitamins designed specifically for beer yeast. It's been proven to shorten fermentation times and improve final beer flavor. Plus, it helps you get more generations out of your yeast, saving you money on every batch. Whether it's a dry-hopped IPA or a crisp lager, give your yeast the fuel they actually need. Order your first pack today by emailing sales@escarpmentlabs.com. Mention the All About Beer podcast to get free shipping on your first order.Host: Jeff AlworthGuests: Harry White, Pete BrownSponsor:  Escarpment Labratories, RahrBSG, All About BeerTags: Bass AleLogo Design: Jeff QuinnThe following music was used for this media project:Lounge R&B PianoBy Music_for_videoshttps://pixabay.com/music/rnb-lounge-rampb-piano-166431/

Quality and regulatory compliance are fundamental to bringing safe and effective medical devices to market. As regulations continue to evolve and technologies become more complex, manufacturers must adopt a proactive approach to quality throughout the entire product lifecycle.This podcast collection explores key topics shaping today's medical device industry, including the FDA's transition to the Quality Management System Regulation (QMSR), effective validation and supplier management strategies, and structured approaches to managing software defects in Software as a Medical Device (SaMD).Together, these discussions highlight how strong quality systems extend beyond documentation. They emphasize the importance of risk-based thinking, supplier oversight, software quality, and continuous improvement to ensure compliance while protecting patients.Whether you're working in Quality Assurance, Regulatory Affairs, Engineering, or Product Development, these conversations offer practical insights to help strengthen your Quality Management System and prepare for the evolving regulatory landscape.Who is Monir El Azzouzi? Monir El Azzouzi is the founder and CEO of Easy Medical Device a Consulting firm that is supporting Medical Device manufacturers for any Quality and Regulatory affairs activities all over the world. Monir can help you to create your Quality Management System, Technical Documentation or he can also take care of your Clinical Evaluation, Clinical Investigation through his team or partners. Easy Medical Device can also become your Authorized Representative and Independent Importer Service provider for EU, UK and Switzerland. Monir has around 16 years of experience within the Medical Device industry working for small businesses and also big corporate companies. He has now supported around 100 clients to remain compliant on the market. His passion to the Medical Device filed pushed him to create educative contents like, blog, podcast, YouTube videos, LinkedIn Lives where he invites guests who are sharing educative information to his audience. Visit easymedicaldevice.com to know more.  If you need help implementing QMSR or preparing your teams for FDA inspections, contact: info@easymedicaldevice.com If you are located outside the EU/UK/Switzerland and need an Authorized Representative (and possibly an Importer), we can support you as well.Social Media to followMonir El Azzouzi Linkedin: https://linkedin.com/in/melazzouziTwitter: https://twitter.com/elazzouzimPinterest: https://www.pinterest.com/easymedicaldeviceInstagram: https://www.instagram.com/easymedicaldeviceThis podcast is hosted by Podcastics, the easiest platform to create and publish your podcast.

Why do quality and R&D fall into adversarial roles even when both are working toward patient safety? Shawn Fuller, who spent 24 years at Surmodics and rose from regulatory manager to VP of Quality, Regulatory and Clinical Affairs, is candid about how both sides create the problem and what it takes to break the pattern.Shawn and Nick get into the learned behavior behind the roadblock stereotype, why quality's timeline never gets extended, the memo-to-file versus special 510(k) trade-off, and the difference between a compliance gatekeeper and a strategic risk advisor.A few of Shawn's key takeaways:The quality roadblock and the R&D cowboy are learned behaviors, and each one justifies the otherA regulatory conclusion delivered without the risk logic or alternatives behind it guarantees a defensive responseIf quality is afraid of FDA, R&D takes the cue. Don't ask the agency what to do, but you can share what you plan to doQuality gets the last timeline and it rarely gets extended, which builds the speed-versus-quality conflict into the scheduleQuality plans are prescriptive, which cuts both ways. Consider folding quality into the project plan insteadTrust is built outside the meeting, over time, and you can't assume it when you walk in the doorDon't blindly defend your own team. A leader who lets their group go down the wrong road to protect the quality seat loses trust fastestAbout Shawn FullerShawn Fuller spent more than 24 years at Surmodics, joining as a regulatory manager and rising to Vice President of Quality, Regulatory and Clinical Affairs. She built the quality and regulatory infrastructure supporting Class I, II, and III devices and served as program director for a Class III device from concept through commercialization. She previously held regulatory roles at Protein Design Labs and conducted transplant research at the University of Minnesota. She is now semi-retired.About The FDA GroupThe FDA Group helps life science organizations rapidly access the industry's best consultants, contractors, and candidates. Our resources assist in every stage of the product lifecycle, from clinical development to commercialization, with a focus on staff augmentation, auditing, remediation, QMS, and other specialized project work in Quality Assurance, Regulatory Affairs, and Clinical Operations. Learn more: https://www.thefdagroup.com/

Jean-Christophe Lanoix is the founder of Turboconsultant. He spent seventeen years at Hinicio, a strategy consultancy specialising in hydrogen — joining as an intern, rising to Associate Director and leaving in 2024, two years after the firm's exit. He now builds the system he wishes he had had. Introducing Turboconsultant An execution layer for solo consultants: a virtual team of AI agents spanning the whole practice — business development, research, methodologies, marketing and content, deliverable production, quality control, meetings and follow-up, admin. The consultant directs. The agents execute. It installs as a plugin on Claude Cowork and turns a generalist agentic workspace into a consulting-grade one. Three things separate it from a general-purpose assistant. Personalisation. A one-time onboarding hands it the consultant's own methodologies, templates, frameworks and voice. What comes out arrives in their template, follows their methods, and reads in their words. Quality control. Every document it produces passes three layers of audit before it leaves — sources traced, figures recomputed, claims contested by models outside the system. That is where AI hallucination and error get caught. Data walling. Nothing moves from one engagement to another, and the models do not train on client work. And it is one system rather than a patchwork of tools: the whole practice runs in a single environment that sharpens with every engagement. The net effect, measured on the existing user base, is a 25x on average, while improving the general quality of the work. Demonstration of Turboconsutlant  Both cases are invented, and so is the consultant behind them — a generic profile carrying no proprietary methodologies, no past deliverables, no writing to learn from. The engagement starts the way a real one does: a request for proposal lands by email. Everything that follows comes out of that one document and public sources. The proposal — thirty minutes The system interviews the consultant first — how they want to work, whether they know the client, who delivers, what their day rate is. Then it writes, in their own template: context, the question behind the client's question, objectives, approach and methodology, scope in and out, work packages, data room requirements, timeline, budget options, next steps. The consultant reviews and signs off. Nothing leaves unvalidated. Without AI, a proposal of that depth is several man-days.   The methodology section — six work packages mapped onto one governing question. Pricing the work — three options, fees, payment terms. A commercial proposal, not an analysis. The kick-off pack — fifteen minutes One instruction produces the whole pack: the client kick-off deck, an internal briefing note — assumptions, questions to ask, objections to expect, the landmines — and the data room request list in Excel, item by item, with what each one unblocks and the date it is needed by. In a firm, this is junior work. A solo consultant has no junior. It costs them half a day to a full day, every time. The work-package sequence agreed at kick-off, and the date after which the analysis stops waiting for client data. The First Deliverable — forty-five minutes The pattern holds whatever the sector: the research, the market sizing, the model underneath, and a deck of exhibits in the consultant's own consulting-grade template — each exhibit carrying one argument, each figure carrying its source. This is where the consultant sits as a director rather than an executant: give the instruction, let the team execute, come back and review. It is also where the system refuses to please. Here it tested the client board's own headline figure instead of repeating it, and the deck says why. Forty-five minutes for a work package that is easily five to ten days of work without it. An exhibit from the first deliverable — the sizing funnel, in the consultant's template. The economics behind it, recomputed from the model that sits under the deck. Quality control — three layers, then a loop Nothing reaches the client before three independent passes. Layer 1 — sources. Every claim and every figure traced back to where it came from, the source assessed, each one rated: verified, probable, or not established. Layer 2 — internal audit. An isolated sub-agent reviews the finished document against a purpose-built grid and rebuilds the Excel model from its own inputs. Same family of model, so it catches the obvious: the unsupported claim, the figure that contradicts the model, the page that does not carry its title. Layer 3 — dual external audit. Two models from outside the system, independent of each other and of the one that did the work. No shared bias, and two verdicts to compare. This is where the qualitative control happens. Here the two disagreed — which is itself the finding. Then the loop. The consultant asks the system to integrate the findings and audit again, and iterates. Half an hour takes a document from roughly 85% client-ready to something that needs only a final human review. The three verdicts on the first draft, as returned — including the external model that said HOLD. Everything from both engagements is published Every file is downloadable, unedited: the proposals, the contract, the kick-off packs, the deliverables, the Excel models, and the three audit reports in full — including the one that said do not ship, and the revised deliverable it forced. A second engagement, in a different sector, was launched live during the recording; it landed after the recording stopped, and its files are there too. Access the files: turboconsultant.com/unleashed Timings above are the elapsed time of each task on this run, not a benchmark. Watch the video:  Listener Offer Are you a good fit? ·       You consult on your own — strategy or management? ·       You want to scale without compromising quality? ·       Consumer AI gets you a draft, not a deliverable? Three yeses? Thirty minutes with me, free. If it's not a fit, I'll tell you. → https://calendly.com/jcl-turboconsultant/unleashed?month=2026-07  Or skip the call and start now — Unleashed listeners, neither code expires: ·      UNLEASHED_TC — Turboconsultant, €399/month instead of €499 ·      UNLEASHED_AUDIT — AI-First Audit, €200 instead of €300 Timestamps 04:02: Turboconsultant's Features and Benefits  07:32: Onboarding and Personalization Process  12:24: Demo of Turboconsultant's Capabilities 23:42: Kickoff Meeting Preparation and Work Package Execution  43:45: Quality Assurance and Iterative Improvement 50:07: Additional Features and Conclusion Links: Video permalink: https://umbrex.com/wp-content/uploads/2026/08/Jean-Christophe-Lanoix.mp4 LinkedIn: https://www.linkedin.com/in/jean-christophe-lanoix-93119018 Company website: https://www.turboconsultant.com Files from this episode: https://www.turboconsultant.com/unleashed This episode on Umbrex: https://umbrex.com/unleashed/episode-656-jean-christophe-lanoix-turboconsultant-running-a-solo-practice-on-ai-agents-end-to-end/ Unleashed is produced by Umbrex, which has a mission of connecting independent management consultants with one another, creating opportunities for members to meet, build relationships, and share lessons learned. Learn more at www.umbrex.com. *AI generated timestamps and show notes.  

My name is Carlene Lee. I am an author, wellness speaker, and advocate for resilience, personal growth, and holistic well-being. After a career as an Analyst and Quality Assurance professional, where I also had the privilegeof leading and mentoring others, I learned how to turn adversity into a purpose-driven mission to inspire others. With a Fitness and Nutrition Certification, I am passionate about helping people live healthier, more balanced lives.I believe challenges can become stepping stones to greatness and that true success is measured not only by our achievements but also by how we grow through life's experiences. I have had the privilege of speaking at workplace wellness sessions and serving as a keynote speaker, encouraging audiences to embrace wellness of the mind, body, soul, and spirit, recognizing thatthis journey looks different for everyone.Through my books and speaking engagements, I strive to uplift others with hope, encouragement, and practical wisdom. My mission is to help people recognize their potential, keep moving forward, and live a life of purpose,resilience, and lasting impact.#carlenelee #author #wellnessspeaker #chrispomay #livewithcdptalkshow #barrycullenchevroletdealership   / carlene_lee1  https://www.threads.com/@carlene_lee1https://linktr.ee/carlenelhttps://beacons.ai/chrisdpomayhttps://www.cameo.com/chrispomay book a personalized video message from yours truly CDP! https://www.paypal.com/paypalme/chris... if you wish to support my You Tube Channel media content https://podcasts.apple.com/ca/podcast...https://www.barrycullen.com/

What is a Quality Unit and how do Quality Assurance and Quality Control fit within it?In this episode, I explain the practical differences between the Quality Unit, QA, and QC across pharmaceutical, medical-device, and combination-product companies. We'll look at the Quality Unit's major responsibilities, why QA is generally system- and process-focused, why QC is generally testing- and product-focused, and why the organizational structure varies between companies.CHAPTERS00:00 What is a Quality Unit? 01:18 The Quality Unit as the umbrella function 01:55 Three major Quality Unit responsibilities 03:08 What functions may sit within Quality 04:08 Establishing, operating, and releasing 04:37 Quality Assurance vs. Quality Control 05:38 Common QA responsibilities 06:16 Common QC responsibilities 06:53 Why pharma and device companies look different 07:32 Drug vs. device terminology 08:06 How QC supports product release 08:26 Final QA vs. QC summary KEY TAKEAWAYS• The Quality Unit provides overall quality oversight. • QA primarily focuses on systems and processes. • QC primarily focuses on inspection, measurement, and testing. • QC testing provides essential evidence supporting product disposition. • Exact responsibilities and reporting structures vary by company and industry.How are QA and QC organized at your company? Share your experience in the comments.#QualityAssurance #QualityControl #QualityUnit #Pharma #MedicalDevices #qualitymanagement Subhi Saadeh is a quality professional, consultant, auditor, and trainer who specializes in drug-device combination products, medical devices, pharmaceutical quality systems, supplier quality, and lifecycle management.Through Let's Combinate, he helps pharmaceutical and medical device teams bridge the gap between drug and device quality, regulatory expectations, and practical execution.Learn more about Let's Combinate:https://www.letscombinate.comSchedule an introductory call:https://calendly.com/letscombinate/let-s-combinate-intro-sessionConnect with Subhi on LinkedIn:https://www.linkedin.com/in/subhi-saadeh-1169aa21Listen to Let's Combinate on Apple Podcasts:https://podcasts.apple.com/us/podcast/lets-combinate-drugs-devices/id1589285792Listen on Spotify:https://open.spotify.com/show/71wYadhCrfLsdYTVachpD2

Alpana Bajaj, Partner Group Product Manager at Microsoft, discusses how Microsoft is reimagining the contact centre with AI-first design and agentic capabilities.• How Dynamics 365 Contact Center evolved from Omnichannel to a standalone, CRM-agnostic platform born in the AI era• The five out-of-the-box AI agents: Customer Assist, Quality Assurance, Case Management, Knowledge Management, and ServiceOps• Real-world customer stories, including double-digit improvements in call deflection, wrap-up time, and CSAT scores• How Microsoft uses its own contact centre as a testing ground, serving over a billion customers across 40+ languages• Licensing simplified: per-seat for human agents, consumption-based Copilot Studio credits for AI capabilities• A practical ROI framework covering customer experience, operational efficiency, and revenue generationLink to the deck: Agentify Your Contact Center Alpana Bajaj Link to the Commonwealth Bank case studyThanks to Ribbon, this episode's sponsor, for their continued support of Empowering.Cloud

Dr. ⁠Basant Bajpai⁠ CEO of ⁠Compliance MedQRA⁠, a UAE-based consulting company specializing in Quality Assurance, Regulatory Affairs, AI governance and compliance for medical devices, SaMD, AI/ML health technologies and digital health solutions. He holds a PhD in Neuroscience focused on brain monitoring and neurotechnology and has more than 12 years of international experience supporting MedTech and digital health companies across Europe, the Middle East and the United States.He explains why regulatory and quality is still one of the most misunderstood functions in MedTech and why so many innovators treat it as a documentation exercise until it becomes an expensive problem at the worst possible moment. We get into the question every founder asks, how long will this take and what will it cost and why there is genuinely no straight answer without first building a proper regulatory strategy.We also tackle the growing trend of companies choosing the US over EU MDR simply because it looks faster. Basant makes the case that regulatory approval alone does not guarantee commercial entry, why reimbursement codes should shape your market choice more than approval timelines and why he now finds EU MDR more convenient than many people expect. He also shares a contrarian view on device classification and why staying in the lowest risk class is not always the smart play.Finally, we explore the GCC regulatory landscape, which Basant argues is not less regulated but differently regulated, with data compliance requirements he found tougher than GDPR or HIPAA. He closes with a clear message on AI in healthcare and why he does not believe regulators will ever allow a clinician to be replaced.Timestamps[00:01:23] From Biomedical Engineering to a First Audit That Changed Everything[00:03:33] Why Everyone Thinks Regulatory Is Just a Documentation Department[00:06:07] How Long Will It Take and What Will It Cost: The Impossible Question[00:09:35] EU MDR vs FDA: Why Reimbursement Should Drive the Decision[00:12:19] Regulatory Approval Does Not Guarantee Commercial Success[00:14:36] Why Staying in the Lowest Risk Class Can Backfire[00:16:00] The GCC: Not Less Regulated, Just Differently Regulated[00:18:24] Why Data Compliance in the Gulf Is Tougher Than GDPR[00:23:30] Who Should Not Pursue a Career in Quality and Regulatory[00:29:17] Final Advice: AI Will Transform Healthcare but Not Replace CliniciansConnect with Basant - https://www.linkedin.com/in/basant-bajpai-phd-63565961Learn more about Complaince MedQRA - https://www.compliancemedqra.net/Get in touch with Karandeep Badwal - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/karandeepbadwal/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow Karandeep on YouTube - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@KarandeepBadwal⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Medical device training courses delivered by Karandeep through Bywater - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.bywater.co.uk/

Industrial Talk is talking to Clay Martin, CEO/Founder at Isla Talent about "Solutions to tap into the skilled Puerto Rico workforce". Overview Scott Mackenzie discusses the Barcelona Cybersecurity Congress, scheduled for November 3-5, 2023, and emphasizes the importance of cybersecurity. He then introduces Clay Martin from Isla Talent, a recruiting firm based in Puerto Rico, which helps companies find skilled workers. Clay explains his process of recruiting from Puerto Rico, including auditing client needs, creating job descriptions, and ensuring quality through tests and interviews. He highlights the benefits of recruiting from Puerto Rico, such as no visa requirements and the availability of a skilled workforce. Clay's firm has placed over 500 workers in the past decade and offers a 45-day replacement guarantee. Outline Barcelona Cybersecurity Congress Announcement Scott introduces the Barcelona Cybersecurity Congress, emphasizing its importance for cybersecurity professionals.The event is scheduled for November 3-5 in Barcelona, with networking opportunities and expert discussions.Scott mentions their own participation and encourages listeners to mark their calendars.The event aims to provide valuable insights and connections in the cybersecurity field. Introduction to Industrial Talk Podcast Scott expresses gratitude to listeners and emphasizes the platform's dedication to celebrating industry success.The conversation will focus on finding skilled individuals and creating resilient businesses in the industry.Scott introduces Clay Martin from Isla Talent, a recruiting firm based in Puerto Rico, to discuss talent acquisition challenges. Challenges in Finding Skilled Individuals Scott discusses the ongoing challenge of finding skilled individuals in the industry, emphasizing the importance of people over technology.Clay Martin introduces Isla Talent, a recruiting firm based in Puerto Rico, and its unique solution for labor shortages.Clay shares his background, including his time in the Peace Corps and his transition to recruiting.The conversation highlights the benefits of recruiting from Puerto Rico, including language skills and cultural fit. Clay Martin's Recruiting Model Clay explains the process of recruiting from Puerto Rico, including auditing client needs and creating job descriptions.He discusses the importance of matching job requirements with the skills of potential recruits.Clay mentions the use of word-of-mouth and social media to build a talent pool in Puerto Rico.The conversation covers the logistics of housing and supporting recruits in the United States. Quality Assurance and Client Consultation Clay emphasizes the importance of quality assurance in recruiting, including testing and interviewing potential recruits.He discusses the role of his partner in Puerto Rico in conducting welding tests and other skill assessments.Clay explains the process of consulting with clients to ensure a smooth transition for recruits.The conversation highlights the importance of maintaining communication and support for both clients and recruits. Impact of Puerto Rico's Economic Conditions Clay discusses the economic conditions in Puerto Rico, including high costs and limited resources, driving people to seek better opportunities in the United States.He shares insights into the cultural and economic challenges faced by Puerto Ricans.The conversation touches on the impact of tourism on Puerto Rico's economy and the resulting economic pressures.Clay highlights the potential for recruiting from other countries in Latin America if visa issues can be resolved. Visa and Legal Challenges Clay explains the challenges of dealing with visas, including the H-2B visa program and its unreliability.He discusses the costs and complexities of obtaining visas for temporary workers.The conversation highlights the advantages of recruiting from Puerto Rico, where no visas are needed.Clay emphasizes the importance of transparency and clear communication with clients regarding visa requirements. Client Engagement and Support Clay describes the typical timeline for recruiting and placing workers, ranging from one to two weeks for small groups.He discusses the typical contract duration for recruits, usually eight to nine months.The conversation covers the process of consulting with clients to create attractive job packages for recruits.Clay explains his role in facilitating the transition and support for recruits, including housing and work environment assessments. Case Studies and Success Stories Clay shares success stories of clients who have benefited from his recruiting services, including a client who hired 100 workers.He discusses the long-term sustainability of his recruiting model and the positive impact on clients' operations.The conversation highlights the importance of creating a supportive and inclusive environment for recruits.Clay emphasizes the value of his personal involvement and commitment to the success of his clients. Contact Information and Final Thoughts Clay provides his contact information, including his website and LinkedIn profile.Scott encourages listeners to reach out to Clay for recruiting needs and to share their stories on Industrial Talk.The conversation concludes with a reminder of the importance of inspiring the next generation of industry leaders.Scott reiterates the value of the Barcelona Cybersecurity Congress and the need for cybersecurity protection in a connected world. If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation. Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2026. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy! CLAY MARTIN'S CONTACT INFORMATION: Personal LinkedIn: https://www.linkedin.com/in/clay-martin-7788b179/ Company LinkedIn: https://www.linkedin.com/company/isla-talent-recruiting-from-puerto-rico/ Company Website: https://www.recruitingpuertorico.com/ PODCAST VIDEO: https://youtu.be/NAwIROf1bIQ THE STRATEGIC REASON "WHY YOU NEED TO PODCAST": OTHER GREAT INDUSTRIAL RESOURCES: NEOM: https://www.neom.com/en-us Hexagon: https://hexagon.com/ Arduino: https://www.arduino.cc/ Fictiv: https://www.fictiv.com/ Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/ Industrial Academy: https://industrialtalk.com/industrial-academy/ Industrial Dojo: https://industrialtalk.com/industrial_dojo/ We the 15: https://www.wethe15.org/ YOUR INDUSTRIAL DIGITAL TOOLBOX: LifterLMS: Get One Month Free for $1 – https://lifterlms.com/ Active Campaign: Active Campaign Link Social Jukebox: https://www.socialjukebox.com/ Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader): Business Beatitude the Book

In this edition of the CTSNet podcast, The Lifeline, host and nurse educator Jill Ley, Clinical Professor at the University of California San Francisco School of Nursing, Founder of the Essentials of Cardiac Surgical Resuscitation, and former Cardiac Surgery Clinical Nurse Specialist at California Pacific Medical Center in San Francisco, CA, USA, speaks with expert guest Amy Hackmann, adult cardiac surgeon at Brigham and Women's Hospital, Boston, MA, USA. Together, they explore extracorporeal membrane oxygenation (ECMO) vs emergency resternotomy for cardiac surgical arrest. Chapters  00:00 Intro  01:36 Resuscitation Algorithm  02:14 Current State of ECMO  04:25 Speed, Quality Assurance  08:28 ECMO Concerns  12:16 Performance Metrics, Decision-Makers  15:08 Prime Circuits  15:24 Non-Surgical Arrest Training  17:42 MCS Devices  18:41 Instances to Avoid ECMO  20:16 Time Targets  21:58 Avoiding Complications, VIS Score  25:09 Key Points  The discussion covers quality assurance metrics, patient-specific decisions regarding ECMO vs resternotomy, and chest compressions. The experts also review the importance of advanced preparation, common causes of cardiac arrest following cardiac surgery, and small-incision surgeries, including the use of surgical saws. Furthermore, the discussion emphasizes the importance of mock drills and team training, as well as the use of ECMO on patients who have not experienced cardiac arrest. Finally, they explore scenarios where ECMO would not be used, vasoactive-inotropic score (VIS), and lactate levels. Every month, The Lifeline features intensive care specialists sharing their expert insights into the rapid and effective management of critically ill cardiac surgical patients. Don't miss next month's episode!   Disclaimer The information and views presented on CTSNet.org represent the views of the authors and contributors of the material and not of CTSNet. Please review our full disclaimer page here.

A special one for us: we sat down with Sid Bhatnagar, CEO of ASQ, the American Society for Quality. Sid is an engineer and longtime technology executive who now leads the global body at the center of the quality profession, and he brought a sharp, practical view of how AI is reshaping what leadership requires.Sid and Nick get into why AI pressure now comes from boards and investors rather than the ground up, how to keep human judgment on both ends of the process, what executives owe their people through the change, and how to think about ROI when the technology won't sit still.A few of the takeaways:AI made the executive a steward of adoption and culture, not just a decision-maker, and the pressure is coming top downKeep humans on both ends: ideation from people, work from the tool, validation back to peopleLean toward critical decision-making, not tasks. Pilots and anesthesiologists get paid for what they know when things go wrongHire for innovation, change management, and system thinking. Lead by pulling people along, not pushingExecutives owe their teams upskilling; employees owe the effort. When there's no seat left, be transparent and generousYou can't retrofit ethics, and data isn't power, good data isThink about return on time, not just return on investment. Operations and customer service pay off fastest; talent is the long playAbout Sid BhatnagarSid Bhatnagar is CEO of ASQ, the American Society for Quality, a global organization with members in more than 130 countries. An engineer by training and a longtime technology executive and CIO across manufacturing and financial services, he joined ASQ in 2020 as CIO, became COO and Chief of Staff, and has led as CEO since 2023.About The FDA GroupThe FDA Group helps life science organizations rapidly access the industry's best consultants, contractors, and candidates. Our resources assist in every stage of the product lifecycle, from clinical development to commercialization, with a focus on staff augmentation, auditing, remediation, QMS, and other specialized project work in Quality Assurance, Regulatory Affairs, and Clinical Operations. Learn more: https://www.thefdagroup.com/

Errors in legal work can have significant consequences, yet many law firms rely on quality assurance processes that are insufficient or misapplied. Even experienced teams can miss critical issues when workflows are overloaded, timelines are tight, or responsibility is unclear. Recognizing where quality assurance fails is crucial for improving both client outcomes and operational efficiency.In this episode, I share and examine a real appellate case to illustrate how gaps in legal quality assurance can occur, even in high-performing teams. I discuss how cognitive overload, inadequate processes, and misaligned incentives can allow errors to slip through. I also highlight how AI and other tools can support quality assurance, but only when integrated thoughtfully into the overall system rather than used as a crutch.Get full show notes, transcript, and more information here: agileattorney.com/126Take your law practice from overwhelmed to optimized with GreenLine LegalFollow along on LinkedIn: linkedin.com/in/johnegrant

Brent Peterson sits down with Michelle Donnelly, Chief Revenue Officer at Crescendo, to explore how AI-native customer experience solutions are transforming the way brands interact with their customers. The conversation covers everything from autonomous digital agents to the critical role humans still play in customer support. Michelle brings a wealth of experience from her time at Salesforce and the AI chip industry, and she shares fascinating real-world examples of how Crescendo's approach is turning traditional cost centers into profit centers. If you care about customer experience, this episode deserves your full attention.Key TakeawaysAI agents must work seamlessly with human agents. A digital-only approach without a human fallback creates frustrating loops that drive customers away.Customer support is becoming a revenue channel. By combining personalization, memory, and business context, AI agents can turn a simple support interaction into an upsell opportunity.Speed to value matters. Crescendo deploys in under four weeks, a dramatic improvement over traditional SaaS implementations that can take months.Outcome-based pricing changes the game. Rather than selling seats, Crescendo charges based on outcomes, aligning their success with the customer's success.Multimodal interactions let customers choose. Whether through chat, voice, WhatsApp, or email, the customer decides how they want to engage, and the AI adapts accordingly.Quality assurance reveals powerful patterns. Analyzing interactions across the customer base surfaces product issues and opportunities that brands would otherwise miss.Knowledge bases improve over time. The AI learns from every interaction and actually enhances the brand's existing knowledge base rather than relying on static content.Chapters00:00 Introduction to Crescendo and Michelle's Journey03:53 The Role of AI in Customer Experience09:30 Seamless Integration of Digital and Human Agents15:02 Multimodal Customer Interactions18:52 Quality Assurance and Content Relevance22:26 Transforming Customer Support into Profit Centers28:22 Democratizing AI for All BusinessesConnect with Michelle on LinkedIn:https://www.linkedin.com/in/michelledonnelly/https://www.linkedin.com/company/crescendocx/

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Jennifer Gaddis. Interview Summary Show: Money Making Conversations MasterclassHost: Rushion McDonaldGuest: Jennifer Gaddis – Senior Quality Assurance Engineer, Educator, Founder of Road to QA 1. Purpose of the Interview The primary purpose of the interview is to inspire and educate everyday people—especially those without college degrees or traditional tech backgrounds—on how to pivot into technology careers, specifically Quality Assurance (QA), and to reframe fear around AI, layoffs, and automation into opportunity. Jennifer’s story is used as proof of concept that: You do not need a college degree to succeed in tech Transferable skills already qualify many people for QA roles AI does not eliminate jobs—it creates new opportunities Strategic career pivots can result in life-changing income and freedom Rushion positions Jennifer not only as a success story, but as a new blueprint for wealth-building through skills, not credentials. [ 2. Interview Overview (High-Level Summary) Jennifer Gaddis shares how she: Pivoted into tech in 2021 with no degree Went from $40K to six figures within 90 days Built a $400K+ remote household income with her husband Created Road to QA, helping 200+ people land tech jobs Accidentally built a multi-million-dollar education business Used personal hardship, COVID, financial stress, and family responsibility as fuel—not limitations She explains what Quality Assurance engineering is, why it is resistant to AI replacement, and how regular users of apps are already doing parts of QA work without realizing it. 3. Key Takeaways A. You’re Already More Qualified Than You Think Jennifer emphasizes that everyday digital behavior translates into QA skills: Using apps Identifying bugs Expecting software to “work correctly” Navigating systems as an end user This insight forms the core of her teaching philosophy. B. The Faster You Add Skills, the Faster You Increase Income Jennifer repeatedly notes: “The difference in your paycheck is your skillset.” By stacking skills (manual QA → automation → AI testing), professionals increase their market value, not just job security. C. AI Is a Career Accelerator, Not a Threat Rather than fearing AI, Jennifer encourages people to: Work alongside AI Become the humans overseeing AI systems Move into hybrid QA + automation + AI roles She stresses that human oversight is still required in tech deployment. D. Entrepreneurship Can Be Accidental—but Scalable Jennifer did not initially plan to build a company. Her business emerged from: Instagram stories A $97 beginner e-book Real student outcomes Her willingness to: Raise prices Build systems Hire specialists Learn financial discipline Allowed Road to QA to grow sustainably. E. Representation and Access Matter Jennifer openly discusses: Being a Black woman in tech Coming from financial insecurity Navigating family obligations Redefining success for future generations Her story challenges stereotypes about who “belongs” in tech careers. [ 4. Notable Quotes from the Interview “I landed my first year in tech within 90 days.” [ “The difference in your paycheck is your skillset.” “You’re already a software tester—you just don’t know it yet.” [ “I didn’t set out to build a company. I said yes to myself.” [ “AI still needs human oversight.” “My journey was already different, so I had to build something different.” 5. Overall Message Jennifer Gaddis’s interview reinforces a central theme of Money Making Conversations: Income growth follows skill alignment, not traditional credentials. Her journey reframes: Fear → strategy Job loss → skill expansion Limited access → self-investment The interview serves as both motivation and roadmap for anyone seeking financial mobility through tech—without gatekeeping. #SHMS #BEST #STRAWSupport the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Jennifer Gaddis. Interview Summary Show: Money Making Conversations MasterclassHost: Rushion McDonaldGuest: Jennifer Gaddis – Senior Quality Assurance Engineer, Educator, Founder of Road to QA 1. Purpose of the Interview The primary purpose of the interview is to inspire and educate everyday people—especially those without college degrees or traditional tech backgrounds—on how to pivot into technology careers, specifically Quality Assurance (QA), and to reframe fear around AI, layoffs, and automation into opportunity. Jennifer’s story is used as proof of concept that: You do not need a college degree to succeed in tech Transferable skills already qualify many people for QA roles AI does not eliminate jobs—it creates new opportunities Strategic career pivots can result in life-changing income and freedom Rushion positions Jennifer not only as a success story, but as a new blueprint for wealth-building through skills, not credentials. [ 2. Interview Overview (High-Level Summary) Jennifer Gaddis shares how she: Pivoted into tech in 2021 with no degree Went from $40K to six figures within 90 days Built a $400K+ remote household income with her husband Created Road to QA, helping 200+ people land tech jobs Accidentally built a multi-million-dollar education business Used personal hardship, COVID, financial stress, and family responsibility as fuel—not limitations She explains what Quality Assurance engineering is, why it is resistant to AI replacement, and how regular users of apps are already doing parts of QA work without realizing it. 3. Key Takeaways A. You’re Already More Qualified Than You Think Jennifer emphasizes that everyday digital behavior translates into QA skills: Using apps Identifying bugs Expecting software to “work correctly” Navigating systems as an end user This insight forms the core of her teaching philosophy. B. The Faster You Add Skills, the Faster You Increase Income Jennifer repeatedly notes: “The difference in your paycheck is your skillset.” By stacking skills (manual QA → automation → AI testing), professionals increase their market value, not just job security. C. AI Is a Career Accelerator, Not a Threat Rather than fearing AI, Jennifer encourages people to: Work alongside AI Become the humans overseeing AI systems Move into hybrid QA + automation + AI roles She stresses that human oversight is still required in tech deployment. D. Entrepreneurship Can Be Accidental—but Scalable Jennifer did not initially plan to build a company. Her business emerged from: Instagram stories A $97 beginner e-book Real student outcomes Her willingness to: Raise prices Build systems Hire specialists Learn financial discipline Allowed Road to QA to grow sustainably. E. Representation and Access Matter Jennifer openly discusses: Being a Black woman in tech Coming from financial insecurity Navigating family obligations Redefining success for future generations Her story challenges stereotypes about who “belongs” in tech careers. [ 4. Notable Quotes from the Interview “I landed my first year in tech within 90 days.” [ “The difference in your paycheck is your skillset.” “You’re already a software tester—you just don’t know it yet.” [ “I didn’t set out to build a company. I said yes to myself.” [ “AI still needs human oversight.” “My journey was already different, so I had to build something different.” 5. Overall Message Jennifer Gaddis’s interview reinforces a central theme of Money Making Conversations: Income growth follows skill alignment, not traditional credentials. Her journey reframes: Fear → strategy Job loss → skill expansion Limited access → self-investment The interview serves as both motivation and roadmap for anyone seeking financial mobility through tech—without gatekeeping. #SHMS #BEST #STRAWSee omnystudio.com/listener for privacy information.

Architectural Integrity in the Age of Algorithmic Code: Software Engineering and QA Governance with Konstantin KlyaginIn a recent episode of The Thoughtful Entrepreneur Podcast, host Josh Elledge sat down with Konstantin Klyagin, the Founder of Redwerk, to deconstruct the operational liabilities introduced by the rapid adoption of AI-assisted coding tools. Konstantin, a veteran software architect with more than two decades of global technology experience spanning Ukraine, Western Europe, and the United States, shares a critical perspective on why speed should never be mistaken for stability in software delivery. This conversation provides an essential, engineering-focused blueprint for mid-market founders, enterprise product owners, and technical leaders who want to leverage advanced software automation while aggressively protecting their products against technical debt, architectural breakdown, and security vulnerabilities.The Code Optimization Paradigm: Mitigating Technical Debt with Rigorous Quality AssuranceThe widespread corporate directive to accelerate release cycles through generative artificial intelligence has inadvertently created an environment where companies routinely exchange long-term structural stability for immediate development speed. Konstantin Klyagin cautions that while algorithmic coding tools are highly effective for rapid prototyping and generating initial Minimum Viable Products (MVPs), they frequently output thousands of lines of bloated, inefficient, and brittle syntax that lacks any context regarding an enterprise's scaling requirements. When product teams deploy this machine-generated code directly into production environments without strict human review, they inherit severe administrative and technical debt that complicates future software updates and compromises system security. True enterprise scalability is achieved not by handing over core development to complete automation, but by enforcing rigid software architecture guardrails and treating artificial intelligence strictly as a baseline productivity assistant overseen by seasoned human engineers.Transitioning an organization out of reactive code patching requires an absolute commitment to formal Quality Assurance (QA) governance rather than treating software testing as a post-development afterthought. Many founders commit the costly mistake of using their own end-user base as the primary line of bug discovery, which introduces significant friction into customer-facing operations and quietly erodes long-term brand equity. Real-world capital optimization demands that software organizations build sophisticated internal or external manual and automated testing pipelines to evaluate edge cases, business logic compliance, and real-time drop-off analytics long before new features hit the market. For instance, rather than accepting automated outputs at face value, professional engineering teams systematically refactor code lines—frequently condensing massive, AI-generated structures into a few dozen clean, optimized scripts—ensuring the application remains stable under high user loads and protects its core margins.Furthermore, maintaining a premium digital footprint in a highly competitive market demands that corporate leaders balance software innovation with deliberate strategic focus and lifestyle resilience. Drawing from his global journey and personal dedication to demanding outdoor sports like kite surfing, Konstantin highlights that clear executive decision-making relies heavily on maintaining cognitive agility outside the office. When a technology enterprise pairs an advanced, multi-model tech stack with a transparent workplace culture and external diagnostic assessments—such as comprehensive, unbiased software audits—it successfully insulates its bottom line against changing algorithmic trends. Ultimately, permanent industry authority belongs to the organizations that treat software engineering as a strict corporate discipline, balancing backend automation loops with definitive human oversight to predictably scale enterprise value.About Konstantin KlyaginKonstantin Klyagin is the Founder of Redwerk and a premier global technology strategist with over 21 years of specialized experience in software architecture and legacy system modernization. Having successfully scaled complex development structures for international government agencies and award-winning enterprise clients, Konstantin now advises mid-market companies on technical execution and product management. He is a passionate advocate for continuous technical education and high-accountability engineering standards within the global developer ecosystem.About RedwerkRedwerk is an elite, full-service software development agency and technical advisory firm specializing in product engineering, legacy maintenance, and professional quality assurance for mid-market businesses. Operating with a dedicated team of over 90 technical professionals, the company bridges the gap between high-level business goals and technical execution across diverse markets. Through structured implementation playbooks and specialized software bug audits, Redwerk enables organizations to eliminate technical debt and predictably scale their digital infrastructure.Links Mentioned in This EpisodeRedwerk Official Website: redwerk.comKonstantin Klyagin on LinkedIn: linkedin.com/in/thekonstKey Episode HighlightsThe AI Bloat Trap: Understanding why over-reliance on generative coding tools introduces thousands of lines of brittle, unoptimized syntax into production environments.The Architecture Ownership Mandate: Why experienced human engineers must guide all core structural and scalability decisions independent of automated recommendations.The Failure of User-Led QA: Transitioning away from using your active client base as bug testers by installing internal manual and automated verification pipelines.Data-Driven Drop-Off Analytics: Utilizing behavioral tracking tools to precisely map user journeys and resolve technical bottlenecks within the application funnel.The Long-Tail Software Audit: Leveraging objective, third-party code reviews to identify hidden operational vulnerabilities and build credibility with investors.ConclusionThe conversation with Konstantin Klyagin reinforces that true software optimization is an intentional discipline built on clean engineering principles rather than automated volume. By standardizing internal corporate tech governance, enforcing rigorous human-in-the-loop quality assurance, and focusing ruthlessly on long-term architectural health, business leaders can transform a volatile software setup into a highly structured, self-sustaining corporate asset.More from The Thoughtful Entrepreneur

SpaceX just paid $60 billion for Cursor. On this week's Bricks, Bucks & Bytes, Patric wasn't buying the logic:"Why in the world would you buy an independent gas station chain and think that makes you more competitive with your bigger oil producing rival?"His take: Cursor is a reseller of tokens. Owning it doesn't make you a better model company — just a bigger, more exposed gas station.We also dug into Autodesk's $3.6B MaintainX deal, why Palantir won't win construction, and the $8 trillion data center buildout.Full episode out now.

OPINION: The quality assurance machine and the death of the university | June 16, 2026Subscribe to The Manila Times Channel - https://tmt.ph/YTSubscribe Visit our website at https://www.manilatimes.net Follow us: Facebook - https://tmt.ph/facebook Instagram - https://tmt.ph/instagram Twitter - https://tmt.ph/twitter DailyMotion - https://tmt.ph/dailymotion Subscribe to our Digital Edition - https://tmt.ph/digital Check out our Podcasts: Spotify - https://tmt.ph/spotify Apple Podcasts - https://tmt.ph/applepodcasts Amazon Music - https://tmt.ph/amazonmusic Deezer: https://tmt.ph/deezer Stitcher: https://tmt.ph/stitcherTune In: https://tmt.ph/tunein#TheManilaTimes#KeepUpWithTheTimes Hosted on Acast. See acast.com/privacy for more information.

On this episode, you'll hear the remarkable story of Bass Pale Ale. This story begins at the dawn of the industrial age, and charts Bass's rise as one of the first global brewing brands. Over the course of two centuries, its pale ales evolved to meet the times, and today we know Bass as one of Britain's classic cask ales—a beer enjoying a current renaissance among the country's pubs. In many ways, in telling the story of Bass, we're recounting the history of brewing in Britain over the past two centuries: its technological and industrial rise, the collapse that befell the giants over the past generation, and, perhaps, an encouraging revival. You'll hear from Harry White, who started at Bass in the research and development department in 1977. He would become Director of Quality Assurance in 1989, and stayed with the company until 2007. Today he is the chairman of the National Brewery Heritage Trust in Burton Upon Trent. You'll also hear from Pete Brown, one of the most celebrated beer writers in the world and the author of over a dozen books, including his most recent, Tasting Notes – The Art and Science of Pairing Beer and Music.It's an amazing brewery and an amazing story, all befitting one of the world's most iconic beers.Visit AllAboutBeer.com for more podcasts, to read original articles, and to get info on upcoming events.Click here to support independent journalism covering the beer industry.This episode is sponsored by:RahrBSGThis episode of the One Iconic Beer podcast is supported by RahrBSG – trusted supplier to brewers, distillers, and beverage makers across North America.  From the barley field to your brewhouse, we're proud to support the people behind great beer with the ingredients, expertise, and service they depend on.  Whether you're brewing the next great American Double IPA or crafting an award-winning continental lager, RahrbSG provides the industry's finest quality, selection, and support. Behind every great – or even iconic – pint, there is a partner who knows what it takes to make it happen. RahrBSG is proud to keep the beer flowing with you. Escarpment LabsTired of inconsistent fermentations and off-flavors in your beer? It's time to strike back with Yeast Lightning Nutrient from Escarpment Labs. Unlike generic nutrients, Yeast Lightning is a balanced blend containing bioavailable zinc, magnesium, and B vitamins designed specifically for beer yeast. It's been proven to shorten fermentation times and improve final beer flavor. Plus, it helps you get more generations out of your yeast, saving you money on every batch. Whether it's a dry-hopped IPA or a crisp lager, give your yeast the fuel they actually need. Order your first pack today by emailing sales@escarpmentlabs.com. Mention the All About Beer podcast to get free shipping on your first order.Host: Jeff AlworthGuests: Harry White, Pete BrownSponsor:  Escarpment Labratories, RahrBSG, All About BeerTags: Bass AleLogo Design: Jeff QuinnThe following music was used for this media project:Lounge R&B PianoBy Music_for_videoshttps://pixabay.com/music/rnb-lounge-rampb-piano-166431/ ★ Support this podcast on Patreon ★

Why do so many CAPA systems pass their metrics while the same problems keep coming back? Dan Eagles, a medical device quality VP and longtime CAPA mentor, breaks down where these systems quietly fail and how to rebuild them into tools that actually drive improvement.Dan discusses why the problem statement is where most CAPAs go wrong, how teams back-engineer root cause analysis to match a fix they've already chosen, and why "retrain the operator" is usually the wrong answer.A few of Dan's key takeaways:A closed CAPA that fails again for the same reason was never successful, repeat offenders are the clearest sign of a broken-but-compliant systemMost CAPA trouble starts with a poorly worded problem statement, train your owners to write good ones and you get value across NCRs tooHumans back-engineer root cause analysis to justify the fix they already wanted, the J&J forklift story shows how that goes wrongTrade retrospective "wait three months and see" verification for process validation that proves capability with objective evidenceKnow the difference between a correction (fixes the immediate problem) and a corrective action (prevents recurrence)Without leadership buy-in across functional groups, CAPA becomes a hot potato, but a recall costs far more time and moneyTrack whether your VOEs are effective, not just whether CAPAs closed on timeAbout Dan EaglesDan Eagles is Vice President of Quality Assurance at NeuraSignal, a company developing robotic transcranial Doppler ultrasound technology for stroke detection. He has over 20 years in the medical device and pharmaceutical industries, with 23 years in quality assurance and prior roles at NuVasive, Dendreon, Endologix, and Edwards Lifesciences. He is a CAPA and NCR mentor and is listed on 21 ophthalmic device patents.About The FDA GroupThe FDA Group helps life science organizations rapidly access the industry's best consultants, contractors, and candidates. Our resources assist in every stage of the product lifecycle — from clinical development to commercialization — with a focus on staff augmentation, auditing, remediation, QMS, and other specialized project work in Quality Assurance, Regulatory Affairs, and Clinical Operations. Learn more: https://www.thefdagroup.com/

Our partner over at Biggest Goal conducts cohort-style training on creating AI agents to make your business operations more efficient. You can find the information for the most current training here! And, add code NurtureSB to get a 10% discount!  If it feels like AI is everywhere right now—you're not alone. Between the nonstop emails, the constant hype, and the pressure to keep up, it's easy for business owners to feel overwhelmed, unsure of what actually matters, and even a little uneasy about where all this is headed. In this episode of Nurture Small Business, host Denise Cagan cuts through the noise to explore this very real challenge for today's business owners. Drawing on her decades of experience, and a manufacturing mindset rooted in Quality Assurance, Denise shares a practical perspective: AI isn't something you fear or blindly chase—it's something you use intentionally. Join us as she discusses: The delicate balance between opportunity and risk. Real-world productivity gains AI can deliver vs. the critical need for human oversight. Data security, privacy, and long-term platform stability. The promise (and creepiness) of hyper-personalization. Why choosing the right tools matters more than trying every tool.  If you've been wondering how to adopt AI without getting lost in the hype—or building your business on shaky ground—this episode will give you the clarity and confidence to move forward thoughtfully. About Your HostDenise Cagan has been working with small businesses for 25 years. She has served on the boards of professional organizations and nonprofits. She holds a Bachelor of Science in Quality Systems Management from James Madison University and is a graduate of the Goldman Sachs 10,000 Small Business Program, which is a program for small businesses that links learning to action for growth-oriented entrepreneurs. Recognized as a facilitator, problem solver, and builder, Denise enjoys working with small business owners who want to create a solid foundation. Her past experience includes 10 years in manufacturing with various awards plus inclusion into Marquis Who's Who.   Denise is the CEO of  3 companies: DCA Virtual Business Support, DCA Association Management, and Denise Cagan Business Consulting. In her downtime, she enjoys spending time with her granddaughter, cooking, and cuddling with her dogs. View and listen to Podcasts with Denise Cagan.   Connect on LinkedIn 

In this highly informative episode, top industry trainer and Quality Assurance expert Trey Briggs breaks down the stark differences between the BCI training program and AI automated scoring. Trey offers industry-leading solutions based on a unique level of experience, knowledge, and expertise. Check it out!

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Jennifer Gaddis. Interview Summary Show: Money Making Conversations MasterclassHost: Rushion McDonaldGuest: Jennifer Gaddis – Senior Quality Assurance Engineer, Educator, Founder of Road to QA 1. Purpose of the Interview The primary purpose of the interview is to inspire and educate everyday people—especially those without college degrees or traditional tech backgrounds—on how to pivot into technology careers, specifically Quality Assurance (QA), and to reframe fear around AI, layoffs, and automation into opportunity. Jennifer’s story is used as proof of concept that: You do not need a college degree to succeed in tech Transferable skills already qualify many people for QA roles AI does not eliminate jobs—it creates new opportunities Strategic career pivots can result in life-changing income and freedom Rushion positions Jennifer not only as a success story, but as a new blueprint for wealth-building through skills, not credentials. [ 2. Interview Overview (High-Level Summary) Jennifer Gaddis shares how she: Pivoted into tech in 2021 with no degree Went from $40K to six figures within 90 days Built a $400K+ remote household income with her husband Created Road to QA, helping 200+ people land tech jobs Accidentally built a multi-million-dollar education business Used personal hardship, COVID, financial stress, and family responsibility as fuel—not limitations She explains what Quality Assurance engineering is, why it is resistant to AI replacement, and how regular users of apps are already doing parts of QA work without realizing it. 3. Key Takeaways A. You’re Already More Qualified Than You Think Jennifer emphasizes that everyday digital behavior translates into QA skills: Using apps Identifying bugs Expecting software to “work correctly” Navigating systems as an end user This insight forms the core of her teaching philosophy. B. The Faster You Add Skills, the Faster You Increase Income Jennifer repeatedly notes: “The difference in your paycheck is your skillset.” By stacking skills (manual QA → automation → AI testing), professionals increase their market value, not just job security. C. AI Is a Career Accelerator, Not a Threat Rather than fearing AI, Jennifer encourages people to: Work alongside AI Become the humans overseeing AI systems Move into hybrid QA + automation + AI roles She stresses that human oversight is still required in tech deployment. D. Entrepreneurship Can Be Accidental—but Scalable Jennifer did not initially plan to build a company. Her business emerged from: Instagram stories A $97 beginner e-book Real student outcomes Her willingness to: Raise prices Build systems Hire specialists Learn financial discipline Allowed Road to QA to grow sustainably. E. Representation and Access Matter Jennifer openly discusses: Being a Black woman in tech Coming from financial insecurity Navigating family obligations Redefining success for future generations Her story challenges stereotypes about who “belongs” in tech careers. [ 4. Notable Quotes from the Interview “I landed my first year in tech within 90 days.” [ “The difference in your paycheck is your skillset.” “You’re already a software tester—you just don’t know it yet.” [ “I didn’t set out to build a company. I said yes to myself.” [ “AI still needs human oversight.” “My journey was already different, so I had to build something different.” 5. Overall Message Jennifer Gaddis’s interview reinforces a central theme of Money Making Conversations: Income growth follows skill alignment, not traditional credentials. Her journey reframes: Fear → strategy Job loss → skill expansion Limited access → self-investment The interview serves as both motivation and roadmap for anyone seeking financial mobility through tech—without gatekeeping. #SHMS #BEST #STRAWSupport the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Jennifer Gaddis. Interview Summary Show: Money Making Conversations MasterclassHost: Rushion McDonaldGuest: Jennifer Gaddis – Senior Quality Assurance Engineer, Educator, Founder of Road to QA 1. Purpose of the Interview The primary purpose of the interview is to inspire and educate everyday people—especially those without college degrees or traditional tech backgrounds—on how to pivot into technology careers, specifically Quality Assurance (QA), and to reframe fear around AI, layoffs, and automation into opportunity. Jennifer’s story is used as proof of concept that: You do not need a college degree to succeed in tech Transferable skills already qualify many people for QA roles AI does not eliminate jobs—it creates new opportunities Strategic career pivots can result in life-changing income and freedom Rushion positions Jennifer not only as a success story, but as a new blueprint for wealth-building through skills, not credentials. [ 2. Interview Overview (High-Level Summary) Jennifer Gaddis shares how she: Pivoted into tech in 2021 with no degree Went from $40K to six figures within 90 days Built a $400K+ remote household income with her husband Created Road to QA, helping 200+ people land tech jobs Accidentally built a multi-million-dollar education business Used personal hardship, COVID, financial stress, and family responsibility as fuel—not limitations She explains what Quality Assurance engineering is, why it is resistant to AI replacement, and how regular users of apps are already doing parts of QA work without realizing it. 3. Key Takeaways A. You’re Already More Qualified Than You Think Jennifer emphasizes that everyday digital behavior translates into QA skills: Using apps Identifying bugs Expecting software to “work correctly” Navigating systems as an end user This insight forms the core of her teaching philosophy. B. The Faster You Add Skills, the Faster You Increase Income Jennifer repeatedly notes: “The difference in your paycheck is your skillset.” By stacking skills (manual QA → automation → AI testing), professionals increase their market value, not just job security. C. AI Is a Career Accelerator, Not a Threat Rather than fearing AI, Jennifer encourages people to: Work alongside AI Become the humans overseeing AI systems Move into hybrid QA + automation + AI roles She stresses that human oversight is still required in tech deployment. D. Entrepreneurship Can Be Accidental—but Scalable Jennifer did not initially plan to build a company. Her business emerged from: Instagram stories A $97 beginner e-book Real student outcomes Her willingness to: Raise prices Build systems Hire specialists Learn financial discipline Allowed Road to QA to grow sustainably. E. Representation and Access Matter Jennifer openly discusses: Being a Black woman in tech Coming from financial insecurity Navigating family obligations Redefining success for future generations Her story challenges stereotypes about who “belongs” in tech careers. [ 4. Notable Quotes from the Interview “I landed my first year in tech within 90 days.” [ “The difference in your paycheck is your skillset.” “You’re already a software tester—you just don’t know it yet.” [ “I didn’t set out to build a company. I said yes to myself.” [ “AI still needs human oversight.” “My journey was already different, so I had to build something different.” 5. Overall Message Jennifer Gaddis’s interview reinforces a central theme of Money Making Conversations: Income growth follows skill alignment, not traditional credentials. Her journey reframes: Fear → strategy Job loss → skill expansion Limited access → self-investment The interview serves as both motivation and roadmap for anyone seeking financial mobility through tech—without gatekeeping. #SHMS #BEST #STRAWSee omnystudio.com/listener for privacy information.

This is the story of what happens when Evan Ratliff, a longtime tech journalist, makes a digital copy of himself, powered by AI, in order to understand how amazing and scary and utterly ridiculous the world is about to get. In Episode 1, Evan clones his voice, hooks it up to a chat bot and his phone line, and sends it off to tangle with customer service representatives.Shell Game is made by humans. More specifically, it's produced and edited by Sophie Bridges, and written and hosted by Evan Ratliff. Samantha Henig is our executive producer. Visit shellgame.co to find out more and support the show.See omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Jennifer Gaddis. Interview Summary Show: Money Making Conversations MasterclassHost: Rushion McDonaldGuest: Jennifer Gaddis – Senior Quality Assurance Engineer, Educator, Founder of Road to QA 1. Purpose of the Interview The primary purpose of the interview is to inspire and educate everyday people—especially those without college degrees or traditional tech backgrounds—on how to pivot into technology careers, specifically Quality Assurance (QA), and to reframe fear around AI, layoffs, and automation into opportunity. Jennifer’s story is used as proof of concept that: You do not need a college degree to succeed in tech Transferable skills already qualify many people for QA roles AI does not eliminate jobs—it creates new opportunities Strategic career pivots can result in life-changing income and freedom Rushion positions Jennifer not only as a success story, but as a new blueprint for wealth-building through skills, not credentials. [ 2. Interview Overview (High-Level Summary) Jennifer Gaddis shares how she: Pivoted into tech in 2021 with no degree Went from $40K to six figures within 90 days Built a $400K+ remote household income with her husband Created Road to QA, helping 200+ people land tech jobs Accidentally built a multi-million-dollar education business Used personal hardship, COVID, financial stress, and family responsibility as fuel—not limitations She explains what Quality Assurance engineering is, why it is resistant to AI replacement, and how regular users of apps are already doing parts of QA work without realizing it. 3. Key Takeaways A. You’re Already More Qualified Than You Think Jennifer emphasizes that everyday digital behavior translates into QA skills: Using apps Identifying bugs Expecting software to “work correctly” Navigating systems as an end user This insight forms the core of her teaching philosophy. B. The Faster You Add Skills, the Faster You Increase Income Jennifer repeatedly notes: “The difference in your paycheck is your skillset.” By stacking skills (manual QA → automation → AI testing), professionals increase their market value, not just job security. C. AI Is a Career Accelerator, Not a Threat Rather than fearing AI, Jennifer encourages people to: Work alongside AI Become the humans overseeing AI systems Move into hybrid QA + automation + AI roles She stresses that human oversight is still required in tech deployment. D. Entrepreneurship Can Be Accidental—but Scalable Jennifer did not initially plan to build a company. Her business emerged from: Instagram stories A $97 beginner e-book Real student outcomes Her willingness to: Raise prices Build systems Hire specialists Learn financial discipline Allowed Road to QA to grow sustainably. E. Representation and Access Matter Jennifer openly discusses: Being a Black woman in tech Coming from financial insecurity Navigating family obligations Redefining success for future generations Her story challenges stereotypes about who “belongs” in tech careers. [ 4. Notable Quotes from the Interview “I landed my first year in tech within 90 days.” [ “The difference in your paycheck is your skillset.” “You’re already a software tester—you just don’t know it yet.” [ “I didn’t set out to build a company. I said yes to myself.” [ “AI still needs human oversight.” “My journey was already different, so I had to build something different.” 5. Overall Message Jennifer Gaddis’s interview reinforces a central theme of Money Making Conversations: Income growth follows skill alignment, not traditional credentials. Her journey reframes: Fear → strategy Job loss → skill expansion Limited access → self-investment The interview serves as both motivation and roadmap for anyone seeking financial mobility through tech—without gatekeeping. #SHMS #BEST #STRAWSteve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Jennifer Gaddis. Interview Summary Show: Money Making Conversations MasterclassHost: Rushion McDonaldGuest: Jennifer Gaddis – Senior Quality Assurance Engineer, Educator, Founder of Road to QA 1. Purpose of the Interview The primary purpose of the interview is to inspire and educate everyday people—especially those without college degrees or traditional tech backgrounds—on how to pivot into technology careers, specifically Quality Assurance (QA), and to reframe fear around AI, layoffs, and automation into opportunity. Jennifer’s story is used as proof of concept that: You do not need a college degree to succeed in tech Transferable skills already qualify many people for QA roles AI does not eliminate jobs—it creates new opportunities Strategic career pivots can result in life-changing income and freedom Rushion positions Jennifer not only as a success story, but as a new blueprint for wealth-building through skills, not credentials. [ 2. Interview Overview (High-Level Summary) Jennifer Gaddis shares how she: Pivoted into tech in 2021 with no degree Went from $40K to six figures within 90 days Built a $400K+ remote household income with her husband Created Road to QA, helping 200+ people land tech jobs Accidentally built a multi-million-dollar education business Used personal hardship, COVID, financial stress, and family responsibility as fuel—not limitations She explains what Quality Assurance engineering is, why it is resistant to AI replacement, and how regular users of apps are already doing parts of QA work without realizing it. 3. Key Takeaways A. You’re Already More Qualified Than You Think Jennifer emphasizes that everyday digital behavior translates into QA skills: Using apps Identifying bugs Expecting software to “work correctly” Navigating systems as an end user This insight forms the core of her teaching philosophy. B. The Faster You Add Skills, the Faster You Increase Income Jennifer repeatedly notes: “The difference in your paycheck is your skillset.” By stacking skills (manual QA → automation → AI testing), professionals increase their market value, not just job security. C. AI Is a Career Accelerator, Not a Threat Rather than fearing AI, Jennifer encourages people to: Work alongside AI Become the humans overseeing AI systems Move into hybrid QA + automation + AI roles She stresses that human oversight is still required in tech deployment. D. Entrepreneurship Can Be Accidental—but Scalable Jennifer did not initially plan to build a company. Her business emerged from: Instagram stories A $97 beginner e-book Real student outcomes Her willingness to: Raise prices Build systems Hire specialists Learn financial discipline Allowed Road to QA to grow sustainably. E. Representation and Access Matter Jennifer openly discusses: Being a Black woman in tech Coming from financial insecurity Navigating family obligations Redefining success for future generations Her story challenges stereotypes about who “belongs” in tech careers. [ 4. Notable Quotes from the Interview “I landed my first year in tech within 90 days.” [ “The difference in your paycheck is your skillset.” “You’re already a software tester—you just don’t know it yet.” [ “I didn’t set out to build a company. I said yes to myself.” [ “AI still needs human oversight.” “My journey was already different, so I had to build something different.” 5. Overall Message Jennifer Gaddis’s interview reinforces a central theme of Money Making Conversations: Income growth follows skill alignment, not traditional credentials. Her journey reframes: Fear → strategy Job loss → skill expansion Limited access → self-investment The interview serves as both motivation and roadmap for anyone seeking financial mobility through tech—without gatekeeping. #SHMS #BEST #STRAWSteve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Learn how to spot unsafe or underperforming supplements and why transparency, testing, and trust are essential. #SupplementSafety #ScamAlert #TransparencyMatters #EvidenceBased

Applied Biopharm Consulting Ltd has announced a new research collaboration with the Pharmaceutical and Molecular Biotechnology Research Centre (PMBRC) at the South East Technological University (SETU) in Waterford, Ireland, to experimentally validate aspects of its artificial intelligence (AI)-driven biomolecular research programme. The collaboration is supported through the Enterprise Ireland Innovation Voucher scheme, enabling the company to access specialised laboratory expertise within the university. With strong research activity across pharmaceutical science, biotechnology and applied life sciences and supported by the Enterprise Ireland Technology Gateway programme PMBRC has developed extensive capabilities in industry-focused research and collaboration with emerging technology companies. Through this collaboration, cell-based studies will be undertaken at SETU to generate experimental data supporting the continued development of Applied Biopharm Consulting's computational viral vector engineering platform. These studies will provide experimental validation to complement the company's computational research activities. Building on its 2024 feasibility study grant and the subsequent Intellectual Property (IP) Start Grant awarded in 2026 under Enterprise Ireland's IP Strategy initiative, Applied Biopharm Consulting continues to expand its internal research and development programme focused on next-generation viral vector engineering. The Innovation Voucher collaboration represents the next step in translating computational research into experimentally validated technologies while supporting the company's ongoing intellectual property strategy. Applied Biopharm Consulting's research programme integrates artificial intelligence, structural bioinformatics and molecular simulation techniques to analyse large datasets of protein structures and explore novel biomolecular interactions. These computational approaches are being applied to explore new strategies for viral vector design relevant to advanced biologics and gene therapy development. Dr. Anthony Newcombe, Managing Director of Applied Biopharm Consulting Ltd, commented: "Establishing a research collaboration with South East Technological University represents an important step in advancing our viral vector engineering programme from computational design toward experimental validation. The Innovation Voucher scheme enables us to access specialised academic expertise and laboratory capabilities that complement our computational research platform." Dr Niall O'Reilly, Centre Director of the PMBRC added: "We are pleased to collaborate with Applied Biopharm Consulting on this research initiative. Partnerships between academia and industry provide valuable opportunities to translate innovative ideas into experimentally validated technologies, and this project highlights how academic research capabilities can support emerging biotechnology innovation. This collaboration also fits well into our current research portfolio in areas such as gene therapy and biomedical science" The collaboration represents the next stage in Applied Biopharm Consulting's internal research and development (R&D) programme, which combines computational biologics research with experimental validation and intellectual property development. Alongside its research activities, Applied Biopharm Consulting continues to support global biopharmaceutical companies in GMP compliance, Regulatory CMC, Manufacturing Science & Technology (MSAT), Quality Assurance and technology transfer. By integrating extensive regulatory and manufacturing expertise with next-generation biologics engineering capabilities, the company is positioning itself at the intersection of advanced therapy development and biologics innovation. See more stories here. More about Irish Tech News Irish Tech News are Ireland's No. 1 Online Tech Publication and often Ireland's No.1 Tech Podcast too. You can find hundreds of fantastic previous episod...

Why do life science companies still scramble when an inspection is coming, even when their quality systems are solid on paper? Yeime Martich, a 25-year quality veteran, makes the case that readiness is a logistics and culture problem, not a documentation problem, and that the procedures you wrote may be creating more audit risk than you realize.Yeime discusses why "minimally compliant" is a discipline rather than a shortcut, how leadership shapes quality culture through what they ask about, fund, and tolerate, and why the strongest signal of a healthy quality system is when people come to quality voluntarily to report problems.A few of Yeime's key takeaways:Inspection readiness is the natural output of a healthy quality system, not something you build in the weeks before an audit"Minimally compliant" means meeting the regulatory intent without overcommitting in your procedures to things your team can't actually followQuality should come to the table with options, not just a no — release to warehouse on risk while the investigation closes, for exampleLeadership shapes culture through what they ask about, what they fund, and what they tolerateThe strongest quality culture signal: people voluntarily surfacing problems without fear of blameAI is useful for data analysis and review, but accountability for quality decisions sits with people — "AI didn't tell us" showed up in a recent FDA warning letterDesign your QMS around flexibility — rigid procedures that block product release unnecessarily are self-imposed constraints the regulation never requiredAbout Yeime MartichYeime Martich is Vice President of Quality Assurance at TerSera Therapeutics with 25 years of experience in pharmaceutical and medical device quality systems. Before TerSera, she spent over 11 years at Hospira in global compliance roles overseeing internal audit programs across international manufacturing sites, and held quality systems leadership positions at Melinta Therapeutics and Abbott.About The FDA GroupThe FDA Group helps life science organizations rapidly access the industry's best consultants, contractors, and candidates. Our resources assist in every stage of the product lifecycle — from clinical development to commercialization — with a focus on staff augmentation, auditing, remediation, QMS, and other specialized project work in Quality Assurance, Regulatory Affairs, and Clinical Operations. Learn more: https://www.thefdagroup.com/

This week, Naomi covers the story of two young men who committed a shocking murder, believing they were too smart to get caught.Then Amber tells the story of the E. Coli outbreak that swept across the Pacific Northwest in the early 90's.Naomi's Sources:Leopold and Loeb - WikipediaÜbermensch - Wikipediahttps://home.heinonline.org/crime-of-the-century-leopold-and-loebs-perfect-crime/The Loeb-Leopold case : with excerpts from the evidence of the alienists and including the arguments to the court by counsel forAmber's Sources:1992–1993 Jack in the Box E. coli outbreak - WikipediaJack in the Box E. coli Outbreak Lawsuits | Marler ClarkJack in the Box E. coli Outbreak: Q & A with Brianne Kiner | Food Safety NewsJack in the Box E. coli Outbreak – 25th Anniversary | Food Safety News30 years after the deadly E. coli outbreak, a Seattle attorney still fights for food safetyAfter the death of his son, Darin Detwiler became a food safety champion. Now, he's being honored for 30 years of advocacy.Riley's E. coli Story | Stop Foodborne IllnessMarler Clark Client Brianne Kiner, Jack in the Box E. coli SurvivorLessons from the Jack in the Box E. coli Outbreak (1993)Looking Back: E.coli O157:H7 and the Legacy of Dr. David Theno | Food Safety MagazineCoping and Grieving with a Death from Food Poisoning| STOPDarin Detwiler Offers Inside Look at Netflix Documentary ‘Poisoned' - Quality Assurance & Food SafetyPoisoned: The True Story of the Deadly E. Coli Outbreak That Changed the Way Americans Eat: 9781982190170: Benedict, Jeff: BooksJack In The Box Sues Supplier Of Hamburger Linked To E. Coli | The Seattle TimesSupport the showGo check out our patreon page athttps://www.patreon.com/crimewineandchaosFor more information about Crime, Wine & Chaos, or to simply reach out and say "hi,"https://www.crimewineandchaos.comCrime, Wine & Chaos is produced by 8th Direction Records. Music by Jeremy Williams. Artwork by Joshua M. DavisAmber is the vocalist in the band, Tin Foil Top Hat. You can find more of her work on all of the music streaming platforms or athttps://www.tinfoiltophat.comNaomi has a twenty year career in tech, and a lifetime interest in all things macabre. She walked away from #startuplife to strike a new path rooted in service. You can find out more about the work she's focused on, support those initiatives, and keep up on her socials here: https://linktr.ee/missgnomers

Episode #537: “Refugees are incredibly remarkable. They're working day-in and day-out to provide for their communities, but they're working under a set of assumptions and a set of regulations that prohibited them from working.” Maximillian Mørch, Head of Program Development and Quality Assurance at The Border Consortium, describes how a system built as an emergency response in 1984 has hardened into a four-decade reality along the Thai–Myanmar border. TBC has long provided food, shelter materials, cooking fuel, nutritional support, and technical assistance across nine border camps. Today, more than 100,000 refugees live inside those camps, with tens of thousands more in rural border areas outside the camp system and at least 50,000 in Thailand's cities. The displacement is not temporary, and it has only further deepened again since the 2021 coup. For decades, camp refugees were largely confined. Leaving without authorization risked being treated as an undocumented migrant, and work outside the camps was prohibited. That restriction made food aid the central pillar of survival. Mørch emphasizes that dependence was structural, not moral: refugees sustained their communities through constant labor, but under rules that prevented real economic participation. Over time, the camps evolved from transplanted villages into organized settlements with homes, schools, clinics, markets, religious life, and refugee-led governance. The Karen Refugee Committee and Karenni Refugee Committee oversee services, coordinate with Thai authorities and NGOs, and manage disputes. Yet the system's viability rested on uninterrupted funding—and in 2025 it began to fail. Food and fuel alone exceptionally costly, and funding gaps at one point left camps without food support for weeks, as global humanitarian crises competed for shrinking resources. With return to Myanmar unsafe and resettlement opportunities collapsing—especially after the suspension and termination of a major U.S. process—Thailand's August 2025 resolution granting eligible refugees the right to work marked a historic rupture. The policy reframes survival around income, with research suggesting a week's wages can exceed a month of past food assistance. Labor shortages in Thailand, particularly after reported departures of Cambodian workers, helped push the reform. Eligibility remains limited, rollout is complex, families generally stay in camps, and around 10% of residents will still need direct aid. “Everyone wants to be self-dependent,” he says. “No one wants to be held hostage to the changing fluctuations” of humanitarian funding. Mørch's portrait is of a system forced to reinvent itself—opening a breach in confinement, but not yet a full pathway out.

AI can write training content that looks flawless, sounds professional, and still quietly mislead your learners. That's the problem we tackle today, along with a practical fix you can use immediately: a fast QA scan that keeps AI speed while protecting trust, accuracy, and credibility.In this episode, Jackie walks through three failure modes that show up again and again in AI-generated eLearning and microlearning drafts: accuracy issues like invented details or wrong policy claims, bias that slips into scenarios through assumptions or stereotypes, and brand drift where the tone turns generic, overly corporate, or inconsistent with your organization's voice. If you design learning for compliance, safety, HR, legal, or any high-stakes topic, these risks aren't theoretical; they can impact people's well-being, employment, and your organization's reputation.You'll leave with a simple, repeatable method: run three quick passes on any AI draft facts, fairness, and voice. I share the exact questions to ask, the red flags to watch for, and an easy checklist to keep next to your keyboard. If you found this helpful, follow or subscribe, share the show with a fellow instructional designer, and leave a review so more designers can build AI-ready workflows without quality surprises.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Jennifer Gaddis. Interview Summary Show: Money Making Conversations MasterclassHost: Rushion McDonaldGuest: Jennifer Gaddis – Senior Quality Assurance Engineer, Educator, Founder of Road to QA 1. Purpose of the Interview The primary purpose of the interview is to inspire and educate everyday people—especially those without college degrees or traditional tech backgrounds—on how to pivot into technology careers, specifically Quality Assurance (QA), and to reframe fear around AI, layoffs, and automation into opportunity. Jennifer’s story is used as proof of concept that: You do not need a college degree to succeed in tech Transferable skills already qualify many people for QA roles AI does not eliminate jobs—it creates new opportunities Strategic career pivots can result in life-changing income and freedom Rushion positions Jennifer not only as a success story, but as a new blueprint for wealth-building through skills, not credentials. [ 2. Interview Overview (High-Level Summary) Jennifer Gaddis shares how she: Pivoted into tech in 2021 with no degree Went from $40K to six figures within 90 days Built a $400K+ remote household income with her husband Created Road to QA, helping 200+ people land tech jobs Accidentally built a multi-million-dollar education business Used personal hardship, COVID, financial stress, and family responsibility as fuel—not limitations She explains what Quality Assurance engineering is, why it is resistant to AI replacement, and how regular users of apps are already doing parts of QA work without realizing it. 3. Key Takeaways A. You’re Already More Qualified Than You Think Jennifer emphasizes that everyday digital behavior translates into QA skills: Using apps Identifying bugs Expecting software to “work correctly” Navigating systems as an end user This insight forms the core of her teaching philosophy. B. The Faster You Add Skills, the Faster You Increase Income Jennifer repeatedly notes: “The difference in your paycheck is your skillset.” By stacking skills (manual QA → automation → AI testing), professionals increase their market value, not just job security. C. AI Is a Career Accelerator, Not a Threat Rather than fearing AI, Jennifer encourages people to: Work alongside AI Become the humans overseeing AI systems Move into hybrid QA + automation + AI roles She stresses that human oversight is still required in tech deployment. D. Entrepreneurship Can Be Accidental—but Scalable Jennifer did not initially plan to build a company. Her business emerged from: Instagram stories A $97 beginner e-book Real student outcomes Her willingness to: Raise prices Build systems Hire specialists Learn financial discipline Allowed Road to QA to grow sustainably. E. Representation and Access Matter Jennifer openly discusses: Being a Black woman in tech Coming from financial insecurity Navigating family obligations Redefining success for future generations Her story challenges stereotypes about who “belongs” in tech careers. [ 4. Notable Quotes from the Interview “I landed my first year in tech within 90 days.” [ “The difference in your paycheck is your skillset.” “You’re already a software tester—you just don’t know it yet.” [ “I didn’t set out to build a company. I said yes to myself.” [ “AI still needs human oversight.” “My journey was already different, so I had to build something different.” 5. Overall Message Jennifer Gaddis’s interview reinforces a central theme of Money Making Conversations: Income growth follows skill alignment, not traditional credentials. Her journey reframes: Fear → strategy Job loss → skill expansion Limited access → self-investment The interview serves as both motivation and roadmap for anyone seeking financial mobility through tech—without gatekeeping. #SHMS #BEST #STRAWSee omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Jennifer Gaddis. Interview Summary Show: Money Making Conversations MasterclassHost: Rushion McDonaldGuest: Jennifer Gaddis – Senior Quality Assurance Engineer, Educator, Founder of Road to QA 1. Purpose of the Interview The primary purpose of the interview is to inspire and educate everyday people—especially those without college degrees or traditional tech backgrounds—on how to pivot into technology careers, specifically Quality Assurance (QA), and to reframe fear around AI, layoffs, and automation into opportunity. Jennifer’s story is used as proof of concept that: You do not need a college degree to succeed in tech Transferable skills already qualify many people for QA roles AI does not eliminate jobs—it creates new opportunities Strategic career pivots can result in life-changing income and freedom Rushion positions Jennifer not only as a success story, but as a new blueprint for wealth-building through skills, not credentials. [ 2. Interview Overview (High-Level Summary) Jennifer Gaddis shares how she: Pivoted into tech in 2021 with no degree Went from $40K to six figures within 90 days Built a $400K+ remote household income with her husband Created Road to QA, helping 200+ people land tech jobs Accidentally built a multi-million-dollar education business Used personal hardship, COVID, financial stress, and family responsibility as fuel—not limitations She explains what Quality Assurance engineering is, why it is resistant to AI replacement, and how regular users of apps are already doing parts of QA work without realizing it. 3. Key Takeaways A. You’re Already More Qualified Than You Think Jennifer emphasizes that everyday digital behavior translates into QA skills: Using apps Identifying bugs Expecting software to “work correctly” Navigating systems as an end user This insight forms the core of her teaching philosophy. B. The Faster You Add Skills, the Faster You Increase Income Jennifer repeatedly notes: “The difference in your paycheck is your skillset.” By stacking skills (manual QA → automation → AI testing), professionals increase their market value, not just job security. C. AI Is a Career Accelerator, Not a Threat Rather than fearing AI, Jennifer encourages people to: Work alongside AI Become the humans overseeing AI systems Move into hybrid QA + automation + AI roles She stresses that human oversight is still required in tech deployment. D. Entrepreneurship Can Be Accidental—but Scalable Jennifer did not initially plan to build a company. Her business emerged from: Instagram stories A $97 beginner e-book Real student outcomes Her willingness to: Raise prices Build systems Hire specialists Learn financial discipline Allowed Road to QA to grow sustainably. E. Representation and Access Matter Jennifer openly discusses: Being a Black woman in tech Coming from financial insecurity Navigating family obligations Redefining success for future generations Her story challenges stereotypes about who “belongs” in tech careers. [ 4. Notable Quotes from the Interview “I landed my first year in tech within 90 days.” [ “The difference in your paycheck is your skillset.” “You’re already a software tester—you just don’t know it yet.” [ “I didn’t set out to build a company. I said yes to myself.” [ “AI still needs human oversight.” “My journey was already different, so I had to build something different.” 5. Overall Message Jennifer Gaddis’s interview reinforces a central theme of Money Making Conversations: Income growth follows skill alignment, not traditional credentials. Her journey reframes: Fear → strategy Job loss → skill expansion Limited access → self-investment The interview serves as both motivation and roadmap for anyone seeking financial mobility through tech—without gatekeeping. #SHMS #BEST #STRAWSteve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

In this episode, top industry trainer and Quality Assurance expert Trey Briggs answers listeners' questions regarding how to make mediocre agents great, managing tone issues, and sentiment scoring. Trey offers industry-leading solutions based on a unique level of experience, knowledge, and expertise. Check it out!

Brent Peterson interviews Namrata Sangani, a QA & Triage champion for Hyva and an Adobe E-commerce Champion. They discuss Namrata's journey in the e-commerce space, her visibility efforts on LinkedIn, and the impact of Hyva on Magento development. Namrata shares insights on the importance of community engagement, the role of women in e-commerce, and the future of  Hyva in the Magento ecosystem.TakeawaysNamrata Sangani is an Adobe e-commerce champion and QA champion for Hyva.She became visible on LinkedIn to share her knowledge and engage with the community.Hyva is revolutionizing Magento development with its performance and ease of use.Quality assurance is a top priority for Hyva, ensuring high standards in their products.Namrata emphasizes the importance of women participating in tech events.The Magento community is seeing a shift towards more open-source contributions.Networking at events like Meet Magento is crucial for professional growth.Hyva's approach allows developers to learn and adopt new technologies easily.Namrata encourages women to showcase their expertise in e-commerce.The future of Adobe Commerce looks promising with ongoing support and development. sound bites"I want women to uplift themselves.""I am active on Instagram as well.""I was a fan of yours since that day."Chapters00:00 Introduction to Namrata Sangani02:41 Journey to Becoming an Adobe Champion05:28 Visibility on LinkedIn and Its Impact08:11 Learning and Adopting Magento and Adobe Commerce10:46 The Revolutionary Impact of Hyva13:14 Quality Assurance and Development in Hyva15:54 Future of Hyva in the Magento Ecosystem18:36 Women in E-commerce Initiative20:59 Outlook for Adobe Commerce and Magento23:49 Closing Thoughts and Networking

Welcome to the American Railroading Podcast! In this episode our host Don Walsh is joined by guest Dave Ronzani - Director of Railcar Regulatory Compliance for AllTranstek. Together they discuss the current state of tank car regulations with an update after the recent AAR Tank Car Committee meetings in Nashville, TN., including the status of PHMA's proposed rulemaking HM-265 as well as their opinions of potential pros and cons; an open FRA Hazardous Materials Incident Investigation (HMII) regarding tank car angle valves; NAR's (Non-Accident Releases); AAR CPC 1435 regarding tank car vacuum relief valves; docket T88.12 regarding tank car visual inspections; other “hot button” topics and much more! Tune in to this episode to gain valuable insights and broaden your understanding of American Railroading! You can find this episode and more on the American Railroading Podcast's official website at www.AmericanRailroading.net , and watch our YouTube Channel at the link below. Welcome aboard!KEY POINTS: The American Railroading Podcast remains in the Top 10% of all podcasts globally, now downloaded in 82 countries around the world! Nearly 50% of the world!Dave has over 40 years of experience in Quality Assurance and Non-Destructive Testing (NDT) and holds an American Society for Non-Destructive Testing (ASNT) Level III certificate in 7 NDT methods.Don gives an overview of AllTranstek, including their history of how and when they were formed.Mr. Ronzani discusses the different entities involved in tank car regulations and how their roles interact with one another.Dave explains what an FRA Hazardous Materials Investigation (HMII) is and how it can affect everyone involved in process, from the car owner to the car and component manufacturers, and everyone in between.Don and Dave discuss the pending PHMSA rulemaking HM-265 regarding the potential of taking away sole responsibility for tank car certificates of construction and shop certification for M-1002 and M-1003 from the AAR, and their opinions of potential pros and cons of the change.Mr. Ronzani discusses AAR CPC 1435 related to certain tank car vacuum relief valves whose AAR service trial wasn't completed properly, what tank car owners need to do about them and by when.Don shares various best practices from real-life experiences he's had.Dave's biggest industry pet-peeve is…..You'll have to tune in to find out!

Why do audits still trigger panic even at companies with strong quality systems? Sneha Saggurthi — a quality compliance manager and lead auditor in cell therapy — breaks down the gap between being compliant and being audit ready, and shares the psychology, patterns, and logistics that actually determine inspection outcomes.Sneha discusses how auditors think and prioritize, why logistics matter more than most companies realize, and the specific psychological techniques auditors are trained to use — including how to handle them.A few of Sneha's key takeaways:Being compliant and being audit ready are not the same thing — compliance is your documentation; readiness is your logistics, your plan, and your ability to defend your approachAuditors think in terms of SISPQ (safety, identity, strength, purity, quality) — everything rolls up to whether the product has those attributesLogistics are the make or break — fast document retrieval, defined roles, and coordinated teams create more auditor confidence than perfect systems with slow accessBatch records are the most common rabbit hole — have a storyboard ready for anything you put in front of an auditorTrain your floor staff to be comfortable with auditors, not to hide from them — use internal audits as practiceAuditors use strategic silence, open-ended questions, and deliberate friendliness to get people talking — train your team to give concise answers and redirect to documentationThe daily question that changes everything: "If someone reads this two years from now, will they know what happened?"About Sneha SaggurthiSneha Saggurthi is Quality Compliance Manager at Cartesian Therapeutics, a cell therapy company, where she manages inspection readiness, supplier quality, and the audit program. She holds an ASQ Certified Quality Auditor (CQA) credential and a Lean Six Sigma Green Belt, with prior quality and training roles at Catalent, Precision For Medicine, and Charles River Laboratories. She is an adjunct instructor at Frederick Community College and serves as Vice Chair of Young Women In Bio.About The FDA GroupThe FDA Group helps life science organizations rapidly access the industry's best consultants, contractors, and candidates. Our resources assist in every stage of the product lifecycle — from clinical development to commercialization — with a focus on staff augmentation, auditing, remediation, QMS, and other specialized project work in Quality Assurance, Regulatory Affairs, and Clinical Operations. Learn more: https://www.thefdagroup.com/

This episode explores the transformative impact of AI on quality assurance (QA) in contact centers. Hosts Amas Tenumah and Bob Furniss discuss how AI is revolutionizing call monitoring, evaluation, and coaching, emphasizing practical steps for leaders to leverage this technology effectively.00:00 Introduction to QA in Contact Centers00:51 The Impact of AI on Quality Assurance03:50 Revolutionizing QA Processes09:09 Shifting Perspectives on QA Monitoring12:39 Leveraging AI for Enhanced Coaching17:40 The Future of QA in an AI-Driven World"You can listen to 100% of calls now""AI can help identify patterns and issues""Show the value your QA team delivers"

Recorded live at Shoptalk Spring 2026 by host Isaac Morey, the conversation features Amera Khalil, Director of Strategic Account Management at Commerce — the parent brand behind Feedonomics, BigCommerce, and MakeSwift. Together, they cover what brands actually need to do to stay visible as AI-powered discovery takes over consumer behavior. It's a practical, no-fluff conversation that's worth your time whether you're running a lean SMB operation or managing enterprise-level feeds.Key TakeawaysData quality is the foundation. Before any AI strategy works, your product feeds need accurate titles, descriptions, sizes, and attributes.Enriched data isn't one-size-fits-all. Enrichment requirements vary by brand, category, and channel — and they need to match today's conversational search queries.Agentic commerce is already operational. Commerce built a fully functional agentic checkout experience for PacSun on Perplexity in under 30 days.Don't deploy AI for AI's sake. Without a clear business objective, AI implementation creates confusion rather than results.SMBs need to act now. LLM visibility isn't exclusive to enterprise brands — smaller businesses can start preparing today.Human oversight isn't optional. Quality assurance guardrails protect brand integrity and keep AI-generated content on point.Have AI conversations out loud. Brands strategizing behind closed doors miss partners who may already have the solutions they need.Episode SummaryAmera opened by describing Commerce's three-brand structure. Feedonomics handles intelligent product feed management, BigCommerce powers flexible e-commerce experiences, and MakeSwift enables agile front-end design. She described Feedonomics' core value simply: taking complex data, making it clean and structured, and distributing it intelligently across every relevant channel.From there, Isaac asked the big question: how is AI changing e-commerce? Amera's answer was direct. The traditional marketing funnel — performance ads, tracking, attribution models — is collapsing. Consumers are now using Perplexity, ChatGPT, and Claude not just for research but for actual purchase decisions. "The biggest change in e-commerce," she noted, "is the preparation to be visible on these LLMs while maintaining the quality of your data."She broke agentic commerce readiness into clear layers. First, brands need solid foundational data — accurate product titles, descriptions, brand names, sizing. Without that, nothing else works. On top of that, brands need enriched data that responds to how people actually search today. Nobody's typing "suitcase" anymore. They're saying something like, "I'm going on a trip, I want something light, and I tend to overpack." Product data has to meet that kind of specificity.Interestingly, she was candid about the complexity of getting onto LLM channels: "Just because you're a brand doesn't mean that your feed is going to be accepted." Approval processes are real hurdles, and the backend requirements — syncing inventory, enabling checkout, integrating payments — go well beyond what most marketing teams expect.The PacSun case study was the episode's standout moment. Commerce built a complete agentic checkout experience for PacSun on Perplexity in under 30 days, during the holiday season. Shoppers could find PacSun jeans, select their size, and check out via PayPal — receiving a confirmation email from PacSun directly. "This is thrilling," Amera said, "because it's changed the way that we are looking at our expectations as consumers."On AI risks, she stressed quality assurance. Feedonomics uses internal benchmarking systems that flag AI-generated content not meeting brand standards before it goes live. She also flagged a generational nuance: Gen Z consumers can detect cold, scripted AI content, and they don't respond well to it. Adjusting content based on audience expectations isn't a nice-to-have — it's essential.For SMBs, her advice was to start with a data audit. Centralize your assets, identify missing fields, and find a feed partner who can submit requests to LLMs on your behalf. As she put it, "even if you're small, medium, or you're the big kahunas in the industry, you have to be present and you certainly have to be visible."Final ThoughtsIn this new era, AI agents act on behalf of shoppers — searching, comparing, and even checking out across multiple channels, often without ever visiting a merchant's website. These AI-driven experiences are seamless, contextual, and increasingly the default for how consumers interact with commerce online.  Amera's message throughout this episode is clear: preparation beats hesitation every time.So here's the question worth sitting with — if your brand's data isn't ready for an agent to read it, how feed-y is your commerce strategy for what's already here?This has been produced in cooperation with Content Cucumberhttps://www.contentcucumber.com/Chapters00:00:00 — Introducing Amera Khalil and Commerce00:00:22 — What Feedonomics Actually Does00:00:46 — BigCommerce and MakeSwift Explained00:01:09 — How AI Is Changing E-Commerce00:01:59 — How Consumers Are Using LLMs to Shop00:02:38 — The Rise of the Brand Agent as Consumer00:03:13 — How Brands Can Prepare for Agentic Commerce00:03:50 — Why Data Quality Is the Foundation00:04:28 — What Data Enrichment Actually Means00:05:15 — Matching Long-Tail Search Queries with Enriched Feeds00:05:52 — AI Risks and the Humans-in-the-Loop Element00:06:25 — Quality Assurance and Guardrails for AI Content00:07:15 — How Brands Are Adapting — Real Customer Journeys00:08:05 — Enterprise Brands Going Live on LLMs00:09:33 — The PacSun Agentic Checkout Story00:12:58 — Advice for Small and Medium-Sized Businesses00:14:54 — Why Every Brand Needs to Be Visible on LLMs by 202800:15:45 — The Feedonomics Framework for Readiness00:16:02 — Amera's Hot Take from Shoptalk00:16:56 — Final Thoughts and What's Getting Exciting Again

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Jennifer Gaddis. Interview Summary Show: Money Making Conversations MasterclassHost: Rushion McDonaldGuest: Jennifer Gaddis – Senior Quality Assurance Engineer, Educator, Founder of Road to QA 1. Purpose of the Interview The primary purpose of the interview is to inspire and educate everyday people—especially those without college degrees or traditional tech backgrounds—on how to pivot into technology careers, specifically Quality Assurance (QA), and to reframe fear around AI, layoffs, and automation into opportunity. Jennifer’s story is used as proof of concept that: You do not need a college degree to succeed in tech Transferable skills already qualify many people for QA roles AI does not eliminate jobs—it creates new opportunities Strategic career pivots can result in life-changing income and freedom Rushion positions Jennifer not only as a success story, but as a new blueprint for wealth-building through skills, not credentials. [ 2. Interview Overview (High-Level Summary) Jennifer Gaddis shares how she: Pivoted into tech in 2021 with no degree Went from $40K to six figures within 90 days Built a $400K+ remote household income with her husband Created Road to QA, helping 200+ people land tech jobs Accidentally built a multi-million-dollar education business Used personal hardship, COVID, financial stress, and family responsibility as fuel—not limitations She explains what Quality Assurance engineering is, why it is resistant to AI replacement, and how regular users of apps are already doing parts of QA work without realizing it. 3. Key Takeaways A. You’re Already More Qualified Than You Think Jennifer emphasizes that everyday digital behavior translates into QA skills: Using apps Identifying bugs Expecting software to “work correctly” Navigating systems as an end user This insight forms the core of her teaching philosophy. B. The Faster You Add Skills, the Faster You Increase Income Jennifer repeatedly notes: “The difference in your paycheck is your skillset.” By stacking skills (manual QA → automation → AI testing), professionals increase their market value, not just job security. C. AI Is a Career Accelerator, Not a Threat Rather than fearing AI, Jennifer encourages people to: Work alongside AI Become the humans overseeing AI systems Move into hybrid QA + automation + AI roles She stresses that human oversight is still required in tech deployment. D. Entrepreneurship Can Be Accidental—but Scalable Jennifer did not initially plan to build a company. Her business emerged from: Instagram stories A $97 beginner e-book Real student outcomes Her willingness to: Raise prices Build systems Hire specialists Learn financial discipline Allowed Road to QA to grow sustainably. E. Representation and Access Matter Jennifer openly discusses: Being a Black woman in tech Coming from financial insecurity Navigating family obligations Redefining success for future generations Her story challenges stereotypes about who “belongs” in tech careers. [ 4. Notable Quotes from the Interview “I landed my first year in tech within 90 days.” [ “The difference in your paycheck is your skillset.” “You’re already a software tester—you just don’t know it yet.” [ “I didn’t set out to build a company. I said yes to myself.” [ “AI still needs human oversight.” “My journey was already different, so I had to build something different.” 5. Overall Message Jennifer Gaddis’s interview reinforces a central theme of Money Making Conversations: Income growth follows skill alignment, not traditional credentials. Her journey reframes: Fear → strategy Job loss → skill expansion Limited access → self-investment The interview serves as both motivation and roadmap for anyone seeking financial mobility through tech—without gatekeeping. #SHMS #BEST #STRAWSupport the show: https://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Jennifer Gaddis. Interview Summary Show: Money Making Conversations MasterclassHost: Rushion McDonaldGuest: Jennifer Gaddis – Senior Quality Assurance Engineer, Educator, Founder of Road to QA 1. Purpose of the Interview The primary purpose of the interview is to inspire and educate everyday people—especially those without college degrees or traditional tech backgrounds—on how to pivot into technology careers, specifically Quality Assurance (QA), and to reframe fear around AI, layoffs, and automation into opportunity. Jennifer’s story is used as proof of concept that: You do not need a college degree to succeed in tech Transferable skills already qualify many people for QA roles AI does not eliminate jobs—it creates new opportunities Strategic career pivots can result in life-changing income and freedom Rushion positions Jennifer not only as a success story, but as a new blueprint for wealth-building through skills, not credentials. [ 2. Interview Overview (High-Level Summary) Jennifer Gaddis shares how she: Pivoted into tech in 2021 with no degree Went from $40K to six figures within 90 days Built a $400K+ remote household income with her husband Created Road to QA, helping 200+ people land tech jobs Accidentally built a multi-million-dollar education business Used personal hardship, COVID, financial stress, and family responsibility as fuel—not limitations She explains what Quality Assurance engineering is, why it is resistant to AI replacement, and how regular users of apps are already doing parts of QA work without realizing it. 3. Key Takeaways A. You’re Already More Qualified Than You Think Jennifer emphasizes that everyday digital behavior translates into QA skills: Using apps Identifying bugs Expecting software to “work correctly” Navigating systems as an end user This insight forms the core of her teaching philosophy. B. The Faster You Add Skills, the Faster You Increase Income Jennifer repeatedly notes: “The difference in your paycheck is your skillset.” By stacking skills (manual QA → automation → AI testing), professionals increase their market value, not just job security. C. AI Is a Career Accelerator, Not a Threat Rather than fearing AI, Jennifer encourages people to: Work alongside AI Become the humans overseeing AI systems Move into hybrid QA + automation + AI roles She stresses that human oversight is still required in tech deployment. D. Entrepreneurship Can Be Accidental—but Scalable Jennifer did not initially plan to build a company. Her business emerged from: Instagram stories A $97 beginner e-book Real student outcomes Her willingness to: Raise prices Build systems Hire specialists Learn financial discipline Allowed Road to QA to grow sustainably. E. Representation and Access Matter Jennifer openly discusses: Being a Black woman in tech Coming from financial insecurity Navigating family obligations Redefining success for future generations Her story challenges stereotypes about who “belongs” in tech careers. [ 4. Notable Quotes from the Interview “I landed my first year in tech within 90 days.” [ “The difference in your paycheck is your skillset.” “You’re already a software tester—you just don’t know it yet.” [ “I didn’t set out to build a company. I said yes to myself.” [ “AI still needs human oversight.” “My journey was already different, so I had to build something different.” 5. Overall Message Jennifer Gaddis’s interview reinforces a central theme of Money Making Conversations: Income growth follows skill alignment, not traditional credentials. Her journey reframes: Fear → strategy Job loss → skill expansion Limited access → self-investment The interview serves as both motivation and roadmap for anyone seeking financial mobility through tech—without gatekeeping. #SHMS #BEST #STRAWSee omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Jennifer Gaddis. Interview Summary Show: Money Making Conversations MasterclassHost: Rushion McDonaldGuest: Jennifer Gaddis – Senior Quality Assurance Engineer, Educator, Founder of Road to QA 1. Purpose of the Interview The primary purpose of the interview is to inspire and educate everyday people—especially those without college degrees or traditional tech backgrounds—on how to pivot into technology careers, specifically Quality Assurance (QA), and to reframe fear around AI, layoffs, and automation into opportunity. Jennifer’s story is used as proof of concept that: You do not need a college degree to succeed in tech Transferable skills already qualify many people for QA roles AI does not eliminate jobs—it creates new opportunities Strategic career pivots can result in life-changing income and freedom Rushion positions Jennifer not only as a success story, but as a new blueprint for wealth-building through skills, not credentials. [ 2. Interview Overview (High-Level Summary) Jennifer Gaddis shares how she: Pivoted into tech in 2021 with no degree Went from $40K to six figures within 90 days Built a $400K+ remote household income with her husband Created Road to QA, helping 200+ people land tech jobs Accidentally built a multi-million-dollar education business Used personal hardship, COVID, financial stress, and family responsibility as fuel—not limitations She explains what Quality Assurance engineering is, why it is resistant to AI replacement, and how regular users of apps are already doing parts of QA work without realizing it. 3. Key Takeaways A. You’re Already More Qualified Than You Think Jennifer emphasizes that everyday digital behavior translates into QA skills: Using apps Identifying bugs Expecting software to “work correctly” Navigating systems as an end user This insight forms the core of her teaching philosophy. B. The Faster You Add Skills, the Faster You Increase Income Jennifer repeatedly notes: “The difference in your paycheck is your skillset.” By stacking skills (manual QA → automation → AI testing), professionals increase their market value, not just job security. C. AI Is a Career Accelerator, Not a Threat Rather than fearing AI, Jennifer encourages people to: Work alongside AI Become the humans overseeing AI systems Move into hybrid QA + automation + AI roles She stresses that human oversight is still required in tech deployment. D. Entrepreneurship Can Be Accidental—but Scalable Jennifer did not initially plan to build a company. Her business emerged from: Instagram stories A $97 beginner e-book Real student outcomes Her willingness to: Raise prices Build systems Hire specialists Learn financial discipline Allowed Road to QA to grow sustainably. E. Representation and Access Matter Jennifer openly discusses: Being a Black woman in tech Coming from financial insecurity Navigating family obligations Redefining success for future generations Her story challenges stereotypes about who “belongs” in tech careers. [ 4. Notable Quotes from the Interview “I landed my first year in tech within 90 days.” [ “The difference in your paycheck is your skillset.” “You’re already a software tester—you just don’t know it yet.” [ “I didn’t set out to build a company. I said yes to myself.” [ “AI still needs human oversight.” “My journey was already different, so I had to build something different.” 5. Overall Message Jennifer Gaddis’s interview reinforces a central theme of Money Making Conversations: Income growth follows skill alignment, not traditional credentials. Her journey reframes: Fear → strategy Job loss → skill expansion Limited access → self-investment The interview serves as both motivation and roadmap for anyone seeking financial mobility through tech—without gatekeeping. #SHMS #BEST #STRAWSteve Harvey Morning Show Online: http://www.steveharveyfm.com/See omnystudio.com/listener for privacy information.

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Businesses killed QA with bad org design, but with AI, is there potential for a near-term QA boom?Join Product Manager Brian Orlando and Enterprise Business Agility Consultant Om Patel as we discuss the systematic elimination of QA roles over the past decade and discuss why that decision is now backfiring.That's right, with AI-generated code accelerating at breakneck speed and nobody to properly check or test it, Brian and Om argue that we might be heading toward a cliff of technical debt that will make skilled QA professionals more valuable than ever.We discuss this potential future in five acts:1. The Expensive Lie: Let's Dev Do the QA (until we lay them off as well)2. The Coming QA Boom3. When and Will Businesses Move Software Risk Upstream4. Why Dev Didn't and AI Won't Replace QA5. The Case for Human-In-The-LoopWhether you're a QA professional worried about your career, a product manager who inherited testing responsibilities, or a leader considering QA cuts - this episode provides data-backed arguments for why the QA field may be on the verge of its biggest resurgence yet.#QualityAssurance #AI #AgileLeadershipStack Overflow Developer Survey 2023, Practitest State of Testing Report 2024, World Quality Report 2025 by Capgemini and Micro Focus, GitLab DevSecOps Report 2024, Google Code Review Quality Study 2023, McKinsey Technology Report 2025 (State of AI in 2025), Theo (t3.gg) video on the future of developer roles, Software Quality and Beer podcast by Bob Cruz and Matt Kubal (Checkpoint Technologies), Cooper Bench (AI coding benchmark study), W. Edwards Deming (quality management principles), Toyota Production System (quality ownership model), Eliyahu Goldratt (Theory of Constraints / systems feedback loops), Brook's Law, Melissa Perri, Playwright (test automation framework), Claude Code (Anthropic)LINKSYouTube: https://www.youtube.com/@arguingagileSpotify: https://open.spotify.com/show/362QvYORmtZRKAeTAE57v3Apple: https://podcasts.apple.com/us/podcast/agile-podcast/id1568557596INTRO MUSICToronto Is My BeatBy Whitewolf (Source: https://ccmixter.org/files/whitewolf225/60181)CC BY 4.0 DEED (https://creativecommons.org/licenses/by/4.0/deed.en)