У нас вы можете посмотреть бесплатно Data Driven Manufacturing Optimization with Artificial Intelligence или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Data Driven Manufacturing Optimization with Artificial Intelligence. Zhitao Gao joins Kudzai Manditereza on the AI in Manufacturing podcast to discuss how to optimize your manufacturing process using data-driven strategies and artificial intelligence. Discover how AI can revolutionize the way you approach production and improve efficiency in your manufacturing operations. AI in Manufacturing Podcast with Kudzai Manditereza *************** Watch/Listen to full episode here: Spotify - https://open.spotify.com/episode/6KA9... Apple - https://podcasts.apple.com/de/podcast... *************** Connect With Me: *************** • LinkedIn: / kudzaimanditereza • Website: https://www.industry40.tv/ *************** FIND ZHITAO ONLINE LinkedIn: / zhitao-gao eXlens Website: https://www.exlens.ai/ 00:00 – Intro: Welcome to the AI in Manufacturing Podcast 01:41 – What Is Data-Driven Manufacturing & Why It Matters 02:15 – How Traditional Decision-Making Falls Short Without Data 03:20 – Case Study: Solving Yield Problems Using Data Analytics 05:50 – Root Cause Discovery: Supplier & Environmental Factors 06:24 – Why Hidden Variables Require AI-Driven Analysis 07:02 – The Evolution of AI in Manufacturing: Vision → Predictive → GenAI 08:15 – Why Generative AI Is the Next Big Shift in Industrial Operations 09:25 – From Predictive Maintenance to AI Reasoning & Recommendations 11:32 – The Future of AI Systems: Explaining “Why” and “What Next” 15:55 – Why GenAI Adoption Will Be Faster Than Past Tech Waves 19:38 – Training the Workforce: Upskilling OT & IT Engineers for AI 23:04 – Leadership & Strategy: Top-Down vs. Bottom-Up AI Adoption 24:04 – How Manufacturing Leaders Should Structure Their AI Strategy 26:41 – Bridging the Gap Between Domain Experts & Data Scientists 28:37 – Why Engineers Must Become “Full Stack” Industrial Practitioners 33:55 – Building the New Breed of Cross-Functional Industrial Engineers 35:43 – The Convergence of IT, OT & AI Engineering Roles 42:31 – Talk-to-Machine: Conversational Interfaces for Equipment Diagnostics 45:13 – Machine Self-Diagnostics & Autonomous Optimization 46:25 – Automation, Labor & the Future Workforce Debate 50:48 – The Human Factor: Change Management in AI-Driven Factories 54:21 – What’s Next: AI, Knowledge Management & Intelligent Agents