AI GMP-ல் தவறு செய்தால்… உங்கள் முழு Validation-ம் தவறாகிவிடுமா? | Episode 3 | Tamil

🚀 Episode 3 – AI in GMP Compliance & Validation | Tamil Version 🤖 AI GMP-ல் தவறு செய்தால்… உங்கள் முழு Validation-ம் தவறாகிவிடுமா? Pharmaceutical industries are increasingly exploring Artificial Intelligence (AI) for quality control, deviation investigations, data analysis, document review, and other GMP-related activities. But how do we ensure that AI-supported systems remain reliable, controlled, and compliant? In this episode, we explore practical concepts for applying AI in pharmaceutical GMP environments. 📚 இந்த Episode-ல் நீங்கள் கற்றுக்கொள்வது: ✅ Traditional Computerized System Validation (CSV) vs AI Validation ✅ AI Systems-ன் Intended Use மற்றும் GxP Risk Assessment ✅ Static Models vs Dynamic Learning Models ✅ AI Explainability மற்றும் Black-Box Challenges ✅ Data Integrity மற்றும் Independent Test Data ✅ Confusion Matrix – True Positive, False Positive, True Negative, False Negative ✅ AI Confidence Thresholds மற்றும் Human Review ✅ Human-in-the-Loop (HITL) மற்றும் GMP Accountability ✅ AI Model Changes, Change Control மற்றும் Lifecycle Management ✅ AI Governance-ன் Six Pillars: Intended Use Risk-Based Control Data Integrity Human Oversight Explainability Lifecycle Control 🎯 Who should watch? Pharmaceutical QA and QC Professionals CSV / CSA Professionals Validation Engineers and Consultants IT and Automation Professionals GMP Compliance and Data Integrity Teams 💡 Our objective: Understand how to assess AI risks and establish appropriate validation, oversight, monitoring, and change-control practices based on the system’s intended use and GxP impact. 📲 Join our WhatsApp Group for Next Premium Content and Practical Training Updates. 📞 Contact / WhatsApp: 9618948094 🎓 Royal Quality Pillars Build • Comply • Grow 👍 Like | 💬 Comment | 🔔 Subscribe and share this video with your colleagues. #AIinGMP #AIValidation #CSV #CSA #PharmaValidation #GMPCompliance #DataIntegrity #Tamil #RoyalQualityPillars Educational content only. Validation and control requirements should be determined based on intended use, GxP impact, applicable regulations, and documented risk assessment. #AIinGMP #AIValidation #CSV #CSA #GMPCompliance #DataIntegrity #PharmaValidation #TamilTraining #RoyalQualityPillars