How AI Prevents $1.2M in Manufacturing Defects скачать в хорошем качестве

How AI Prevents $1.2M in Manufacturing Defects

Quality defects aren't just frustrating—they cost the average manufacturer $1.2 million annually in reworks and recalls. Today, we’re moving past "basic" AI chatbots and building a real-time, industrial-grade monitoring system that catches errors before they become catastrophes. 🚀 IS YOUR BUSINESS READY FOR THIS? Don't build in the dark. Get a Free AI Readiness Review to see exactly where automation can save you thousands in overhead and error costs: 👉 https://proverbaiconsulting.com/AI-sy... Or go to the Proverb AI Consulting website to LEARN MORE: 👉 https://proverbaiconsulting.com/ Video Summary In this video, we break down a complete AI-driven Quality Assurance (QA) workflow designed for high-precision environments like aerospace and CNC milling. You’ll see exactly how to: Monitor Critical Data: Track Temperature, Pressure, and Vibration every 5 minutes. Security Assessment with Ollama: Why we use self-hosted AI for sensitive military/aerospace contracts that require NDA's or Privacy. The Tiered Alert System: Setting up Slack and Email triggers for "Yellow" and "Red" risk levels. Trend Analysis: Using AI to predict maintenance needs based on weekly performance logs. [Timestamps] 00:00 - The $1.2M Quality Problem 01:45 - High-Stakes Precision: Lessons from Boeing 03:10 - Workflow Step 1: Automated Data Collection 05:20 - Why Self-Hosting (Ollama) is Mandatory for NDAs 07:45 - Building the Tiered Slack Alert System 10:30 - AI Weekly Trend Reports & Preventive Maintenance 12:15 - How to Implement this in Your Factory Resources and Links 🛠️ Download the Production Quality Alert System Workflow Template (n8n): https://drive.google.com/file/d/1NF22... 📄 Access the AI Agent Prompting Guide: https://docs.google.com/document/d/1Q... Core Tools Used in This Video n8n (Workflow Orchestration): https://n8n.io/ Slack (Incident Alerts): https://api.slack.com/apps OpenAI (Intelligence Engine): https://openai.com/ Ollama (Local Private LLM): https://ollama.com/ Google Workspace (Data Logging): https://workspace.google.com/ [Timestamps] 00:00 - The $1.2M Quality Control Problem 01:45 - Precision Tolerances: Lessons from Boeing 03:30 - Setting up n8n for Real-Time Monitoring 06:15 - Prompting Your AI QA Agent 08:50 - Slack & Email Tiered Alerts (Step-by-Step) 13:40 - Automating Weekly Trend Reports Connect with me Instagram:   / jros.eproverbai   Tiktok:   / jroseautomations   Twitter/X: https://x.com/Jroseproverbai Subscribe for more real-world automations: #AIAutomation #Manufacturing #n8n #OpenAI #Ollama #QualityControl #IndustrialAI [Call to Action] If you're ready to see how AI solves real-world industrial problems, Subscribe to JRI Automations. Drop a comment below: What’s the biggest production bottleneck you’re facing right now?