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šŸ“Š šˆš¬ š²šØš®š« šŖš®ššš„š¢š­š² š¬š²š¬š­šžš¦ š«šžšššœš­š¢š§š  š­šØ š©š«šØš›š„šžš¦š¬ šØš« š©š«šžšš¢šœš­š¢š§š  š­š”šžš¦? In today's manufacturing environment, maintaining stable processes requires more than traditional statistical process control (SPC). By integrating artificial intelligence, organizations can detect hidden patterns, predict process deviations, and make faster, data-driven quality decisions. Join our š—¦š˜š—®š˜š—¶š˜€š˜š—¶š—°š—®š—¹ š—£š—æš—¼š—°š—²š˜€š˜€ š—–š—¼š—»š˜š—æš—¼š—¹ (š—¦š—£š—–) š˜„š—¶š˜š—µ š—”š—œ – 1-Day Certification Program and learn how to combine proven SPC methodologies with AI-powered analytics to improve process capability, reduce variation, and strengthen operational excellence. šŸ”¹ Control Charts & Process Capability Analysis šŸ”¹ AI-Powered Process Monitoring šŸ”¹ Predictive Quality Analytics šŸ”¹ AI-Assisted Root Cause Analysis šŸ”¹ Practical Manufacturing Case Studies šŸ”— š‘šžš š¢š¬š­šžš« š”šžš«šž: https://lnkd.in/dTTd5pS5 šŸ“… 22 August 2026 (Saturday) šŸ•™ 10:00 AM – 5:00 PM (IST) šŸ’» Online / Classroom šŸ‘Øā€šŸ« Faculty: Ritesh Bhatt Let's move from reactive quality control to predictive quality excellence. #StatisticalProcessControl #SPC #ArtificialIntelligence #QualityManagement #Manufacturing #Industry40 #LeanSixSigma #OperationalExcellence #ContinuousImprovement #SmartManufacturing #QualityEngineering #ProcessImprovement Ritesh Bhatt Nital Zaveri Debasis Majumdar Sushil Macwan Rachna Bhoi

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