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reselevatorLLC
Standardized processes help ensure every system meets the same high performance standards. #ResoluteElevatorLLC #elevatorexperts #QualityEngineering #ElevatorSystems #NorthCarolina #SouthCarolina #elevatormodernization
exascent
على هامش المؤتمر الدولي السابع لهندسة الجودة وإدارتها، عقدت شركة الصعود الاستثنائي للاستشارات الإدارية عدداً من اللقاءات المهنية ومباحثات التعاون مع شركات، ومراكز بحثية أوروبية، وهيئات عالمية متخصصة في الجودة والتميز المؤسسي. وشملت اللقاءات بحث سبل التعاون المشترك مع عدد من الجهات ذات العلاقة، ومنها: المعهد المعتمد للجودة (CQI | The Chartered Quality Institute) المنظمة الأوروبية للجودة (EOQ, European Organization for Quality) الجمعية البرتغالية للجودة (APQ - Associação Portuguesa para a Qualidade) كما سعدت شركة الصعود بلقاء البروفيسور باولو سمبايو، رئيس المنظمة الأوروبية للجودة (EOQ, European Organization for Quality)، حيث تم التطرق إلى فرص التعاون وتبادل الخبرات في مجالات الجودة، التميز المؤسسي، وتطوير الممارسات المهنية. وامتدت المباحثات كذلك إلى عدد من الجهات الإيطالية المشاركة في المؤتمر، بما يعزز فرص التعاون في مجالات هندسة الجودة، جودة التصميم، جودة 4.0، القياس الصناعي، والتحسين المؤسسي. وتؤكد شركة الصعود أن هذه اللقاءات تمثل خطوة مهمة نحو بناء شراكات دولية نوعية، ونقل أفضل الممارسات العالمية، وتطوير حلول استشارية أكثر ارتباطاً بالمعايير الدولية واحتياجات المنظمات في المملكة والمنطقة. #شركة_الصعود #الشراكات_الدولية #الجودة #EOQ #CQI #APQ #Quality #QualityEngineering #QualityManagement #التميز_المؤسسي
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Kautilya_Artha
Why Ford Rehired 300 Veteran Engineers After an AI Rollout Can AI fully replace decades of human experience? Ford Motor Company recently shared a major lesson in the limits of automation. In a bid to cut costs and boost margins, Ford aggressively deployed AI across its industrial system—including installing 900 AI-powered cameras in plants to automate quality checks. The assumption? Ingesting design requirements into machine learning models would naturally yield a high-quality product. The Reality Check:The automated systems fell short. Ford's AI-driven quality checks failed to live up to expectations because the tech lacked the deep, nuanced expertise of veteran technicians—many of whom had left the company before their knowledge could be codified. As Charles Poon, VP of Vehicle Hardware Engineering, admitted: "Artificial intelligence is a fantastic tool, but it's only as good as the information you use to train it." The Pivot:Recognizing the gap, Ford reversed course and rehired more than 300 "veteran" quality inspectors and engineers. Their new mission? Train and enhance the company's automation and machine learning tools. Mentor the younger generation of incoming engineers. The Result:By blending "hard-earned wisdom" with advanced technology, Ford just clinched the #1 spot among mainstream automakers in the U.S. JD Power Initial Quality Study—a ranking it hasn't held since 2010. Key Takeaway for Leaders:AI isn't a plug-and-play replacement for human capital. The most successful digital transformations don't replace veteran talent; they use veteran talent to anchor, train, and guide the technology. Is your organization prioritizing AI deployment or human expertise right now—or have you managed to find the perfect blend? Share your experiences below! #ArtificialIntelligence #Automation #AutomotiveIndustry #HumanCapital #Leadership #QualityEngineering #TechTransformation #AR #eleonmusk #claude #openai #chatgpt
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InfosysEvents
We're excited to have Achal Channarasappa, Deployed Engineering Leader, Financial Services and Insurance, @Cognition, join us as a keynote speaker at the #InfosysAIAssuranceConclaveCharlotte. Know more: infy.com/6zc47. #QualityEngineering
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QyrusAI
Software testing is entering a new phase. For years, AI in QA focused on prediction. It detected defects and optimized execution within fixed boundaries. That model no longer scales. Generative AI introduces a structural shift, moving us from manual execution to intelligent generation. But the real transformation happens when Gen AI becomes Agentic. Instead of just analyzing outcomes, autonomous AI agents can now create test cases, scripts, and data directly from intent, and dynamically adapt them in real-time. For modern enterprises, this shift delivers immediate business impact: Faster test creation cycles Expanded edge-case coverage Dramatically reduced maintenance effort Continuous adaptation to real-world usage In high-velocity environments, agentic workflows are no longer optional. They define how teams deliver quality at scale. We see the future of QA in systems that generate and evolve continuously, not in static test suites. Check out the video to hear Dona Zacharias break down this shift. Read the full story on the future of intelligent quality engineering here: qyrus.com/post/generative-ai… #SoftwareTesting #GenerativeAI #AgenticAI #QualityEngineering #Qyrus
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Niranjan222310
A New Chapter Begins for KiwiQA Services Today marks one of the proudest moments in my entrepreneurial journey. I am delighted to announce that KiwiQA has officially merged with PinnacleQM. From today, KiwiQA will operate as "KiwiQA, a Pinnacle Company." This is more than a merger—it's the coming together of shared values, complementary expertise, and a vision to shape the future of Quality Engineering. By combining KiwiQA's delivery excellence with PinnacleQM's enterprise capabilities and AI-powered platforms—QMFactory, Enginuity, and Authorise—we are creating even greater value for our clients. To our clients, thank you for your trust. Your teams, contracts, and commitments remain unchanged—our ability to support you has only become stronger. A special thank you to Gary Jenn and Ian Charlton for your trust, partnership, and shared vision. I look forward to building the future together. A very special thank you to my wife and our two wonderful daughters. Your love, patience, encouragement, and countless sacrifices have been my greatest source of strength. Every milestone I achieve is made possible because of your unwavering support, and this achievement belongs to our family as much as it does to me. To my business partner and co-founder, Nirav Raval, thank you for standing beside me throughout this journey. Your unwavering support, belief, and leadership have been instrumental in building KiwiQA into what it is today. This milestone is one we share together. Finally, To every current and former KiwiQA team member, this achievement belongs to you. Your dedication, passion, and relentless pursuit of quality have built the foundation on which this new chapter begins. I couldn't be prouder of what we have accomplished together. As a Board Member of PinnacleQM, I remain committed to building exceptional teams, driving innovation, and delivering outstanding outcomes for our clients. The best chapter is yet to come, and I'm excited to write it together. READ FULL announcements here - lnkd.in/g95ZDRJN #KiwiQA #PinnacleQM #Merger #QualityEngineering #SoftwareTesting #AITesting #QMFactory #Enginuity #DigitalTransformation #Leadership #Innovation #APAC @KQSPL
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kaizen_6sigma
The breakthrough in digital standards: The DMSC Model-Based Characteristics Standard is now an American National Standard (ANS). 🚀 For those implementing Digital Twins and MBSE, this is a game-changer. The biggest hurdle has always been ambiguity—relying on manual drawing interpretations that lead to data silos and integration failure. This new ANS standard solves the common language problem. What does this mean in practice? It means truly interoperable data flow. Your design model can now communicate standardized characteristics directly to simulation, AI optimization, or digital twin platforms without costly human interpretation in between. This standardization shifts us from interpreting drawings to modeling function and behavior—a prerequisite for true Operational Excellence. Highly relevant for CTOs/CIOs planning next-gen manufacturing IT stacks. Details: qualitymag.com/articles/9967… #DigitalTwins #MBSE #OperationalExcellence #QualityEngineering #digitaltransformation #advancedmanufacturing #mbse #interoperability #smartmanufacturing
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windowsforum
🪟 Ford tried AI-first quality… and learned the hard way: automation catches bugs, veterans catch the why. If Microsoft taught us anything, “judgment” can’t be generated. windowsforum.com/threads/for… #ManufacturingQuality #FordAi #QualityEngineering #JDPower
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TheMetricsIndex
THIS IMAGE explains difference BETWEEN MSA and SPC in a very simple way. #MSA (Measurement System Analysis) – Measurement System Quality 👉 MSA means: whether the measurement you are taking (like CALIPER, MICROMETRE) is correct or not What is checked in MSA👇👇 #ACCURACY 👉 How close the measurement is to actual value. #PRECISION 👉 Whether you get same result when measuring repeatedly #REPEATABILITY 👉 Same person, same tool → gives same result or not #REPRODUCIBILITY 👉 Different person / different machine → gives same result or not #BIAS 👉 Whether the measurement system is consistently giving wrong results [MSA = Is my measuring tool reliable] #SPC (Statistical Process Control) – Process Stability 👉 SPC means: whether process is running properly or not What is included in SPC👇👇 #PROCESS_STABILITY 👉 Whether the process is stable or changing frequently #VARIATION 👉 How much variation is present in the output #CONTROL_LIMITS (UCL / LCL) 👉 Upper and lower limits within which the process should stay #SPECIAL_CAUSES 👉 Sudden problems (machine fault, operator error) #CONTROL_CHART 👉 Tracking data over time [SPC = Is my process under control] MSA vs SPC – Easy Comparison👇👇 FOCUSMEASUREMENT SYSTEMPROCESS GOALMEASUREMENT is CORRECTPROCESS is STABLE USECHECKING TOOLSMONITORING PRODUCTION EXAMPLEIs the CALIPER MEASURING CORRECTLYIs the MACHINE GIVING CONSISTENT OUTPUT? If measurement itself is wrong (MSA fails) then there is no benefit of doing SPC 👉 First fix MSA then apply SPC #MSA #SPC #QualityEngineering #Manufacturing #ProcessControl #SixSigma #Lean #QualityControl
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testrigor
Is AI Empowering or Hurting Manual QAs? Explore how AI is transforming software testing, QA roles, skills to acquire, and the future of manual testing with AI. hubs.la/Q04nc9XK0 💬 Share your thoughts with us in the comments... #AIQA #QualityEngineering #AITestingTools
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Mechonint
Every road, facility, and industrial project begins with sturdy or heavy-duty equipment. Mechon International supplies genuine spares and equipment globally. Get A Quote mechoninternational.com #MechonInternational #Mechon #Engineering #IndustrialSolutions #Manufacturing #Innovation #Technology #EngineeringExcellence #QualityEngineering #IndustrialAutomation
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iBetaQA
APIs. Integrations. Browsers. Devices. Environments. Each layer creates another place where issues can appear. As system complexity increases, testing needs to expand with it. Read more: ibeta.com/why-software-testi… #QualityEngineering #SoftwareTesting #QualityAssurance #QA
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kaizen_6sigma
Traditional Six Sigma taught us how to reduce defective parts on an assembly line. But what about 'digital waste' and algorithmic bias? 🤔 As operations become powered by AI, process improvement must evolve from physical optimization to ethical governance. LSS practitioners are uniquely positioned to be the new Ethical Architects of AI. Our guide maps the entire DMAIC framework (Define, Measure, Improve, Control) directly onto solving these complex digital problems: 🔬 DEFINE: Use FMEA to predict systemic failure modes like bias or data drift. 📈 MEASURE: Apply Control Charts to track ethical metrics and identify when a model's performance deviates from acceptable parameters—quantifying the 'unquantifiable'. 🛠️ IMPROVE: Implement Poka-Yoke (mistake-proofing) guardrails directly into the AI pipeline to prevent human or data input errors. ✅ CONTROL: Establish continuous monitoring for concept drift and ethical compliance, making governance a measurable process metric. This is how operational excellence meets ethics. Learn how LSS principles can establish rigorous, repeatable AI governance models and prevent system failure before it impacts your bottom line. Read the full article here: (Link to article) #LeanSixSigma #AIethics #OperationalExcellence #DigitalTransformation #QualityEngineering
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testrigor
Top QA Trends for 2026 Explore the top QA trends for 2026: AI-driven testing, QAOps, autonomous testing, DevSecOps, shift-everywhere, HITL, & observability-led quality engineering. hubs.la/Q04nc6lc0 💬 Share your thoughts with us in the comments... #QATrends #AIQA #QualityEngineering
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testmuai
Right model, right job, real savings. That's how AI scales. 💡 We're thrilled to welcome Viktoria Semaan, Principal Technical Evangelist, @databricks, as a speaker at #TestMuConf 2026 🔗 testmuai.com/testmuconf-2026… In her talk "The Right Model for the Right Job: Cutting LLM Costs Without Cutting Quality," Viktoria will show you how to choose between open source, proprietary, and fine-tuned models, define custom metrics for your use case, and calibrate LLM judges to assess quality cost-effectively as you move from proof-of-concept to production. If you're ready to take your AI agents from demo to production without blowing your budget, this is the session for you. 🚀 #AI #LLM #QualityEngineering #Conference #TestMuConference
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Primus_Services
Quality-driven processes lead to reliable software, better performance, and greater business confidence. Build solutions that are designed to perform 🌐 primusglobal.com #QualityAssurance #SoftwareTesting #QualityEngineering #ITServices #PRIMUS
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InfosysEvents
We are pleased to welcome Sudhir Joshi, VP – Alliances and Channels, @testmuai (formerly LambdaTest), joining us at the #InfosysAIAssuranceConclaveCharlotte2026 Know more: infy.com/H8qG2. #QualityEngineering | @niranvs | @VensIyengar
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